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  • Nutritional Risk Screening 2002, Short Nutritional Assessment Questionnaire, Malnutrition ScreeningTool, and Malnutrition Universal ScreeningTool Are Good Predictors of Nutrition Risk in an Emergency Service.

    PubMed

    Rabito, Estela Iraci; Marcadenti, Aline; da Silva Fink, Jaqueline; Figueira, Luciane; Silva, Flávia Moraes

    2017-08-01

    There is an international consensus that nutritionscreening be performed at the hospital; however, there is no "best tool" for screening of malnutrition risk in hospitalized patients. To evaluate (1) the accuracy of the MUST (Malnutrition Universal ScreeningTool), MST (Malnutrition ScreeningTool), and SNAQ (Short Nutritional Assessment Questionnaire) in comparison with the NRS-2002 (Nutritional Risk Screening 2002) to identify patients at risk autocad 2018 student - Crack Key For U malnutrition and (2) the ability of these nutritionscreeningtools to predict morbidity and mortality. A specific questionnaire was administered to complete the 4 screeningtools. Outcomes measures included length of hospital stay, transfer to the intensive care unit, presence of infection, and incidence of death. A total of 752 patients were included. The nutrition risk was 29.3%, 37.1%, 33.6%, and 31.3% according to the NRS-2002, MUST, MST, and SNAQ, respectively. All screeningtools showed satisfactory performance to identify patients at nutrition risk (area under the receiver operating characteristic curve between 0.765-0.808). Patients at nutrition risk showed higher risk of very long length of hospital stay as compared with those not at nutrition risk, independent of the tool applied (relative risk, 1.35-1.78). Increased risk of mortality (2.34 times) was detected by the MUST. The MUST, MST, and SNAQ share similar accuracy to the NRS-2002 in identifying risk of malnutrition, and all instruments were positively associated with very long hospital stay. In clinical practice, the 4 tools could be applied, and the choice for one of them should be made per the particularities of the service.

  • Nutritionscreeningtools: an analysis of the evidence.

    PubMed

    Skipper, Annalynn; Ferguson, Maree; Thompson, Kyle; Castellanos, Victoria H; Porcari, Judy

    2012-05-01

    In response to questions about tools for nutritionscreening, an evidence analysis project was developed to identify the most valid and reliable nutritionscreeningtools for use in acute care and hospital-based ambulatory care settings. An oversight Corel VideoStudio Ultimate For Windows defined nutritionscreening and literature search criteria. A trained analyst conducted structured searches of the literature for studies of nutritionscreeningtools according to predetermined criteria. Eleven nutritionscreeningtools designed to detect undernutrition in patients in acute care and hospital-based ambulatory care were identified. Trained analysts evaluated articles for quality using criteria specified by the American Dietetic Association's Evidence Analysis Library. Members of the oversight group assigned quality grades to the tools based on the quality of the supporting evidence, grids for instagram review reliability and validity data. One tool, the NRS-2002, received a grade I, and 4 tools-the Simple Two-Part Tool, the Mini-Nutritional Assessment-Short Form (MNA-SF), the Malnutrition ScreeningTool (MST), and Malnutrition Universal ScreeningTool (MUST)-received a grade II. The MST was the only tool shown to be both valid and reliable for identifying undernutrition in the settings studied. Thus, validated nutritionscreeningtools that are simple and easy to use are available for application in acute care and hospital-based ambulatory care settings.

  • Simple NutritionScreeningTool for Pediatric Inpatients.

    PubMed

    White, Melinda; Lawson, Karen; Ramsey, Rebecca; Dennis, Nicole; Hutchinson, Zoe; Soh, Xin Ying; Matsuyama, Misa; Doolan, Annabel; Todd, Alwyn; Elliott, Aoife; Bell, Kristie; Littlewood, Robyn

    2016-03-01

    Pediatric nutrition risk screeningtools are not routinely implemented throughout many hospitals, despite prevalence studies demonstrating malnutrition is common in hospitalized children. Existing tools lack the simplicity of those used to assess nutrition risk in the adult population. This study reports the accuracy of a new, quick, and simple pediatric nutritionscreeningtool (PNST) designed to be used for pediatric inpatients. The pediatric Subjective Global Nutrition Assessment (SGNA) and anthropometric measures were used to develop and assess the validity of 4 simple nutritionscreening questions comprising the PNST. Participants were pediatric inpatients in 2 tertiary pediatric hospitals and 1 regional hospital. Two affirmative answers to the PNST questions were found to maximize the specificity and sensitivity to the pediatric SGNA and body mass index (BMI) z scores for malnutrition in 295 patients. The PNST identified 37.6% of patients as being at nutrition risk, whereas the pediatric SGNA identified 34.2%. The sensitivity and specificity of the PNST compared with the pediatric SGNA were 77.8% and 82.1%, respectively. The sensitivity of the PNST at detecting patients with a BMI z score of less than -2 was 89.3%, and the specificity was 66.2%. Both the PNST and pediatric SGNA were relatively poor at detecting patients who were stunted or overweight, with the sensitivity and specificity being less than 69%. The Reason 10 Serial Key - Free Activators provides a sensitive, valid, and simpler alternative to existing pediatric nutritionscreeningtools such as ScreeningTool for the Assessment of Malnutrition in Pediatrics (STAMP), ScreeningTool Risk on Nutritional status and Growth (STRONGkids), and Paediatric Yorkhill Malnutrition Score (PYMS) to ensure the early detection of hospitalized children at nutrition risk. © 2014 American Society for Parenteral and Enteral Nutrition.

  • [Validation of a nutritionalscreeningtool for hospitalized pediatric patients].

    PubMed

    Lama More, R A; Moráis López, A; Herrero Álvarez, M; Caraballo Chicano, S; Galera Martínez, R; López Ruzafa, E; Rodríguez Martínez, G; de la Mano Hernández, A; Rivero de la Rosa, M C

    2012-01-01

    Malnutrition among hospitalized patients has clinical implications, and interest has arisen to find screeningtools able to identify subjects under risk. At present, there is no consensus about the most suitable nutritionscreeningtool for pediatric patients. To validate STAMP (ScreeningTool for the Assessment of Malnutrition in Pediatrics) pediatric screeningtool in Spain. Descriptive cross-sectional study of patients admitted to a 3rd level children's hospital with both medical and surgical specialities. During the first 24 hours of admission, STAMP screeningtool was applied. For its validation, results were compared with those obtained from a nutritional assessment performed by specialist staff, which included clinical, anthropometric and body composition data. A sample of 250 children was studied. Nutritional assessment identified 64 patients (25.6%) under risk, 40 of whom were malnourished (16%). STAMP classified 48.4% of the patients as being under nutritional risk. This tool showed 75% sensitivity and 60.8% specificity when identifying patients under risk according to nutritional assessment. It showed 90% sensitivity and 59.5% specificity when identifying malnourished Avast Premium Security Crack 20.8.2432. Malnutrition was less frequent than that reported in other European countries, although diagnosis technique was different. STAMP is a simple and useful tool for nutritionalscreening, avoiding the need to assess all patients on admission in order to identify those under nutritional risk.

  • Nutritionscreeningtools: does one size fit all? A systematic review of screeningtools for the hospital setting.

    PubMed

    van Bokhorst-de van der Schueren, Marian A E; Guaitoli, Patrícia Realino; Jansma, Elise P; de Vet, Henrica C W

    2014-02-01

    Numerous nutritionscreeningtools for the hospital setting have been developed. The aim of this systematic review is to study construct or criterion validity and predictive validity of nutritionscreeningtools for the general hospital setting. A systematic review of English, French, German, Spanish, Portuguese and Dutch articles identified via MEDLINE, Cinahl and EMBASE (from inception to the 2nd of February 2012). Additional studies were identified by checking reference lists of identified manuscripts. Search terms included key words for malnutrition, screening or assessment instruments, and terms for hospital setting and adults. Data were extracted independently by 2 authors. Only studies expressing the (construct, criterion or predictive) validity of a tool were included. 83 studies (32 screeningtools) were identified: 42 studies on construct or criterion validity versus a reference method and 51 studies on predictive validity on outcome (i.e. length of stay, mortality or complications). None of the tools performed consistently well to establish the patients' nutritional status. For the elderly, MNA performed fair to good, for the adults MUST performed fair to good. SGA, NRS-2002 and MUST performed well in predicting outcome in approximately half of the studies reviewed in adults, but not in older patients. Not one single screening or assessment tool is capable of adequate nutritionscreening as well as predicting poor nutrition related outcome. Development of new tools seems redundant and will most probably not lead to new insights. New studies comparing different tools within one patient population are required. Copyright © 2013 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.

  • Nutritionalscreeningtools for hospitalized children: methodological considerations.

    PubMed

    Joosten, Koen F M; Hulst, Jessie M

    2014-02-01

    Children who are admitted to the hospital are at a risk of developing undernutrition, especially children with an underlying disease. High percentages of both acute and chronic undernutrition have been reported in various Western countries for many years. Several nutritionalscreeningtools have been developed for hospitalized children in the last years. This review gives an overview of the nutritionalscreeningtools that are currently available with a focus on their aims, clinical use and validity. Copyright © 2013 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.

  • Dietary screeningtool identifies nutritional risk in older adults123

    PubMed Central

    Miller, Paige E; Mitchell, Diane C; Hartman, Terryl J; Lawrence, Frank R; Sempos, Christopher T; Smiciklas-Wright, Helen

    2009-01-01

    Background: No rapid methods exist for screening overall dietary intakes in older adults. Objective: The purpose of this study was to develop and evaluate a scoring system for a diet screeningtool to identify nutritional risk in community-dwelling older adults. Design: This cross-sectional study in older adults (n = 204) who reside in rural areas examined nutrition status by using an in-person interview, biochemical measures, and four 24-h recalls that included the use of dietary supplements. Results: The dietary screeningtool was able to characterize 3 levels of nutritional risk: at risk, possible risk, and not at risk. Individuals classified as at nutritional risk had significantly lower indicators of diet quality (Healthy Eating Index and Mean Adequacy Ratio) and intakes of protein, most micronutrients, dietary fiber, fruit, and vegetables. The at-risk group had higher intakes of fats and oils and refined grains. The at-risk group also had the lowest serum vitamin B-12, folate, β-cryptoxanthin, lutein, and zeaxanthin concentrations. The not-at-nutritional-risk group had significantly higher lycopene and β-carotene and lower homocysteine and methylmalonic acid concentrations. Conclusion: The dietary screeningtool is a simple and practical tool that can help to detect nutritional risk in older adults. PMID:19458013

  • Validation of a NutritionScreeningTool for Pediatric Patients with Cystic Fibrosis.

    PubMed

    Souza Dos Santos Simon, Miriam Isabel; Forte, Gabriele Carra; da Silva Pereira, Juliane; da Fonseca Andrade Procianoy, Elenara; Drehmer, Michele

    2016-05-01

    In cystic fibrosis (CF), nutrition diagnosis is of critical relevance because the early identification of nutrition-related compromise enables early, adequate intervention and, consequently, influences patient prognosis. Up to now, there has not been a validated nutritionscreeningtool that takes into consideration clinical variables. To validate a specific nutritional risk screeningtool for patients with CF based on clinical variables, anthropometric parameters, and dietary intake. Cross-sectional study. The nutritionscreeningtool was compared with a risk screeningtool proposed by McDonald and the Cystic Fibrosis Foundation criteria. Patients aged 6 to 18 years, with a diagnosis of CF confirmed by two determinations of elevated chloride level in sweat (sweat test) and/or by identification of two CF-associated genetic mutations who were receiving follow-up care through the outpatient clinic of a UNINSTALL TOOL 3.5.8 Serial key - Crack Key For U Fibrosis Treatment Center. Earlier identification of nutritional risk in CF patients aged 6 to 18 years when a new screeningtool was applied. Agreement among the tested methods was assessed by means of the kappa coefficient for categorical variables. Sensitivity, specificity, and accuracy values were calculated. The significance level was set at 5% (P

  • Accuracy of NutritionalScreeningTools in Assessing the Risk of Undernutrition in Hospitalized Children.

    PubMed

    Huysentruyt, Koen; Devreker, Thierry; Dejonckheere, Joachim; De Schepper, Jean; Vandenplas, Yvan; Cools, Filip

    2015-08-01

    The aim of the present study was to evaluate the predictive accuracy of screeningtools for assessing nutritional risk in hospitalized children in developed countries. The study involved a systematic review of literature (MEDLINE, EMBASE, and Cochrane Central databases up to January 17, 2014) of studies on the diagnostic performance of pediatric nutritionalscreeningtools. Methodological quality was assessed using a modified QUADAS tool. Sensitivity and specificity were calculated for each screeningtool per validation method. A meta-analysis was performed to estimate the risk ratio of different screening result categories of being truly at nutritional risk. A total Four Dimension GeoTools 22.01 Free Download with Crack 11 studies were included on ≥1 of the following screeningtools: Pediatric Nutritional Risk Score, ScreeningTool for the Assessment of Malnutrition in Paediatrics, Paediatric Yorkhill Malnutrition Score, and ScreeningTool for Risk on Nutritional Status and Growth. Because of variation in reference standards, a direct comparison of the predictive accuracy of the screeningtools was not possible. A meta-analysis was performed on 1629 children from 7 different studies. The risk ratio of being truly at nutritional risk was 0.349 (95% confidence interval [CI] 0.16-0.78) for children in the low versus moderate screening category and 0.292 (95% CI 0.19-0.44) in the moderate versus high screening category. There is insufficient evidence to choose 1 nutritionalscreeningtool over another based on their predictive accuracy. The estimated risk of being at "true nutritional risk" increases with each category of screening test result. Each screening category should be linked to a specific course of action, although further research is needed.

  • Mini-Nutritional Assessment, Malnutrition Universal ScreeningTool, and Nutrition Risk ScreeningTool for the Nutritional Evaluation of Older Nursing Home Residents.

    PubMed

    Donini, Lorenzo M; Poggiogalle, Eleonora; Molfino, Alessio; Rosano, Aldo; Lenzi, Andrea; Rossi Fanelli, Filippo; Muscaritoli, Maurizio

    2016-10-01

    Malnutrition plays a major role in clinical and functional impairment in older adults. The use of validated, user-friendly and rapid screeningtools for malnutrition in the elderly may improve the diagnosis and, possibly, the prognosis. The aim of this study was to assess the agreement between Mini-Nutritional Assessment (MNA), considered as a reference tool, MNA short form (MNA-SF), Malnutrition Universal ScreeningTool (MUST), and Nutrition Risk Screening (NRS-2002) in elderly institutionalized participants. Participants were enrolled among nursing home residents and underwent a multidimensional evaluation. Predictive value and survival analysis were performed to compare the nutritional classifications obtained from the different tools. A total of 246 participants (164 women, age: 82.3 ± 9 years, and 82 men, age: 76.5 ± 11 years) were enrolled. Based on MNA, 22.6% of females and 17% of males were classified as malnourished; 56.7% of women and 61% of men were at risk of malnutrition. Agreement between MNA and MUST or NRS-2002 was classified as "fair" (k = 0.270 and 0.291, respectively; P < .001), whereas the agreement between MNA and MNA-SF was classified as "moderate" (k = 0.588; P < .001). Because of the high percentage of false negative participants, MUST and NRS-2002 presented a low overall predictive value compared with MNA and MNA-SF. Clinical parameters were significantly different in false negative participants with MUST or NRS-2002 from true negative and true positive individuals using the reference tool. For all screeningtools, there was a significant association between malnutrition and mortality. MNA showed the best predictive value for survival among well-nourished participants. Functional, psychological, and cognitive parameters, not considered in MUST and NRS-2002 tools, are probably more important risk factors for malnutrition than acute illness in geriatric long-term care inpatient settings and may account for the low predictive

  • Nutritional Risk in Emergency-2017: A New Simplified Proposal for a NutritionScreeningTool.

    PubMed

    Marcadenti, Aline; Mendes, Larissa Loures; Rabito, Estela Iraci; Fink, Jaqueline da Silva; Silva, Flávia Moraes

    2018-03-13

    There are many nutritionscreeningtools currently being applied in hospitals to identify risk of malnutrition. However, multivariate statistical models are not usually employed to take into account the importance of each variable included in the instrument's development. To develop and evaluate the concurrent and predictive validities of a new screeningtool of nutrition risk. A prospective cohort study was developed, in which 4 nutritionscreeningtools were applied to all patients. Length of stay in hospital and mortality were considered to test the predictive validity, and the concurrent validity was tested by comparing the Nuritional Risk in Emergency (NRE)-2017 to the other tools. A total of 748 patients were included. The final NRE-2017 score was composed of 6 questions (advanced age, metabolic stress of the disease, decreased appetite, changing of food consistency, unintentional weight loss, and muscle mass loss) with answers yes or no. The prevalence of nutrition risk was 50.7% and 38.8% considering the cutoff points 1.0 and 1.5, respectively. The NRE-2017 showed a satisfactory power to indentify risk of malnutrition (area under the curve >0.790 for all analyses). According to the NRE-2017, patients at risk of malnutrition have twice as high relative risk of a very long hospital stay. The hazard ratio for mortality was 2.78 (1.03-7.49) when the cutoff adopted by the NRE-2017 was 1.5 points. NRE-2017 is a new, easy-to-apply nutritionscreeningtool which uses 6 bi-categoric features to detect the risk of malnutrition, and it presented a good concurrent and predictive validity. © 2018 American Society for Parenteral and Enteral Nutrition.

  • Comparison of two nutritionalscreeningtools to detect nutritional risk in hematologic inpatients.

    PubMed

    Fiol-Martínez, Lucía; Calleja-Fernández, Alicia; Pintor de la Maza, Begoña; Vidal-Casariego, Alfonso; Villar-Taibo, Rocío; Urioste-Fondo, Ana; Cuervo, Marta; Cano-Rodríguez, Isidoro; Ballesteros-Pomar, María D

    2017-02-01

    The aim of the study was to compare two nutritionalscreeningtools in oncohematologic inpatients. A cross-sectional study was performed in a hematology ward from August to December 2015. Within the first 24 h of admission, the following nutritionalscreenings were performed: Malnutrition Universal ScreeningTool (MUST), Malnutrition ScreeningTool (MST), and Subjective Global Assessment (SGA). Patients who stayed in the hematologic ward were reevaluated with the three screeningtools 1 and 2 wk after admission. The SGA was used as the gold standard in the detection of malnutrition. Sixty-three patients were included in the study. Of these, 61.9% were men, ages 64 y (SD = 17.9 y) with 90.5% having a diagnosis of cancer. The prevalence of patients with nutritional risk at admission was 17.5% with SGA, 16.7% at week 1, and 31.6% at week 2. According to MST, the prevalence was 41.3% at admission, 13.9% at week 1, and 15.8% at week 2. According to MUST, the prevalence was 36.5%, 25%, and 36.8%, respectively. The results of diagnostic tests on admission were an area under the curve receiver operating characteristic of 0.691 for MST and 0.830 for MUST at admission; at week 1, 0.717 for MST and 0.850 for MUST; and at week 2 of assessment, 0.506 for MST and 0.840 for MUST. MUST might be a better screeningtool than MST for detecting the risk for malnutrition in oncohematological inpatients. Copyright © 2016 Elsevier Inc. All rights reserved.

  • Evaluation of Malnutrition Risk after Liver Transplantation Using the NutritionalScreeningTools

    PubMed Central

    Lim, Hee-Sook; Kim, Hyung-Chul; Park, Yoon-Hyung

    2015-01-01

    Malnutrition is a common problem in patients with end-stage liver disease requiring liver transplantation. The aim of this study was to evaluate nutritional status by using nutritionalscreeningtools [Nutritional Risk Screening (NRS) 2002, Malnutrition Universal ScreeningTool (MUST) and Subjective Global Assessment (SGA)] in patients before and after liver transplantation. We analyzed medical record, blood test, nutrient intake and malnutrition rate just before transplantation and at discharge, and at 3, 6, 12 months after transplantation respectively. Initially 33 patients enrolled as study subjects and finally 28 patients completed the study. Nutrients intake such as energy, fiber, calcium, potassium, vitamin C, and folate were insufficient at 12 months after transplantation. The rates of malnutrition before transplantation were very high, reported at 81.8% for the NRS 2002, 87.9% for the MUST, and 84.8% for the SGA. By 12 months after operation, malnutrition rates reported at NRS, MUST and SGA had decreased to 6.1%, 10.7%, and 10.7%, respectively. Sensitivity was 87.1% for the NRS 2002, 82.0% for the MUST, and 92.0% for the SGA. Of these screeningtools the SGA was the highest sensitive tool that predict the risk of mortality in malnutrition patients who received transplantation. Further studies on nutritional status of patients and proper tools for nutrition intervention are needed to provide adequate nutritional care for patients. PMID:26566519

  • Evaluation of Malnutrition Risk after Liver Transplantation Using the NutritionalScreeningTools.

    PubMed

    Lim, Hee-Sook; Kim, Hyung-Chul; Park, Yoon-Hyung; Kim, Soon-Kyung

    2015-10-01

    Malnutrition is a common problem in patients with end-stage liver disease requiring liver transplantation. The aim of this study was to evaluate nutritional status by using nutritionalscreeningtools [Nutritional Risk Screening (NRS) 2002, Malnutrition Universal ScreeningTool (MUST) and Subjective Global Assessment (SGA)] in patients before and after liver transplantation. We analyzed medical record, blood test, nutrient intake and malnutrition rate just before transplantation and at discharge, and at 3, 6, 12 months after transplantation respectively. Initially 33 patients enrolled as study subjects and finally 28 patients completed the study. Nutrients intake such as energy, fiber, calcium, potassium, vitamin C, and folate were insufficient at 12 months after transplantation. The rates of malnutrition before transplantation were very high, reported at 81.8% for the NRS 2002, 87.9% for the MUST, and 84.8% for the SGA. By 12 months after operation, malnutrition rates reported at NRS, MUST and SGA had decreased to 6.1%, 10.7%, and 10.7%, respectively. Sensitivity was 87.1% for the NRS 2002, 82.0% for the MUST, and 92.0% for the SGA. Of these screeningtools the SGA was the highest sensitive tool that predict the risk of mortality in malnutrition patients who received transplantation. Further studies on nutritional status of patients and proper tools for nutrition intervention avast driver updater download - Activators Patch needed to provide adequate nutritional care for patients.

  • Evaluation of the efficacy of six nutritionalscreeningtools to predict malnutrition in the elderly.

    PubMed

    Poulia, Kalliopi-Anna; Yannakoulia, Mary; Karageorgou, Dimitra; Gamaletsou, Maria; Panagiotakos, Demosthenes B; Sipsas, Nikolaos V; Zampelas, Antonis

    2012-06-01

    Malnutrition in the elderly is a multifactorial problem, more prevalent in hospitals and care homes. The absence of a gold standard in evaluating nutritional risk led us to evaluate the efficacy of six nutritionalscreeningtools used in the elderly. Two hundred forty eight elderly patients (129 men, 119 female women, aged 75.2 ± 8.5 years) were examined. Nutritionalscreening was performed on admission using the following tools: Nutritional Risk Index (NRI), Geriatric Nutritional Risk Index (GNRI), Subjective Global Assessment (SGA), Mini Nutritional Assessment - Screening Form (MNA-SF), Malnutrition Universal ScreeningTool (MUST) and Nutritional Risk Screening 2002 (NRS 2002). A combined index for malnutrition was also calculated. Nutritional risk and/or malnutrition varied greatly, ranging from 47.2 to 97.6%, depending on the nutritionalscreeningtool used. MUST was the most push video wallpaper v4 33 - Activators Patch screeningtool (validity coefficient = 0.766, CI 95%: 0.690-0.841), while SGA was in better agreement with the combined index (κ = 0.707, p = 0.000). NRS 2002 although was the highest in sensitivity (99.4%), it was the lowest in specificity (6.1%) and positive predictive Windows Repair Pro 4.10.0 Crack - Free Activators (68.2%). MUST seem to be the most valid in the evaluation of the risk for malnutrition in the elderly upon admission to the hospital. NRS 2002 was found to overestimate nutritional risk in the elderly. Copyright © 2011 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.

  • Novel simple and practical nutritionalscreeningtool for cancer inpatients: a pilot study.

    PubMed

    Zekri, Jamal; Morganti, Julie; Rizvi, Azhar; Sadiq, Bakr Bin; Kerr, Ian; Aslam, Mohamed

    2014-05-01

    There is lack of consensus on how nutritionalscreening and intervention should be provided to cancer patients. Nutritionalscreening and support of cancer patients are not well established in the Middle East. We report our systematic and practical experience led by a qualified specialist dietician in a cancer inpatient setting, using a novel nutritionalscreeningtool. Ninety-seven consecutive inpatients underwent nutritionalscreening and categorised into three nutritional risk Driver Talent 8.0.1.8 Crack With Activation Code Free Download 2021 based on oral intake, gastrointestinal symptoms, body mass index (BMI) and weight loss. Nutritional support was introduced accordingly. Statistical tests used included ANOVA, Bonferroni post hoc, chi-square and log rank tests. Median age was 48 (19-87)years. Patients were categorised into three nutritional risk groups: 55 % low, 37 % intermediate and 8 % high. Nutritional intervention was introduced for 36 % of these patients. Individually, weight, BMI, oral intake, serum albumin on admission and weight loss significantly affected nutritional risk and nutritional intervention (all significant P values). Eighty-seven, 60 and 55 % of patients admitted for chemotherapy, febrile neutropenia and other reasons, respectively, did not require specific nutritional intervention. There was a statistically significant relationship between nutritional risk and nutritional intervention (P=0.005). Significantly more patients were alive at 3 months in low (91 %) than intermediate (75 %) than high (37 %)-risk groups. About a third of cancer inpatients require nutritional intervention. The adopted nutritional risk assessment tool is simple and practical. The validity of this tool is supported by its significant relation with known individual nutritional risk factors. This should be confirmed in larger prospective study and comparing this new tool with other established ones.

  • Evaluation of nutritionalscreeningtools for patients scheduled for cardiac surgery.

    PubMed

    Lomivorotov, Vladimir V; Efremov, Sergey M; Boboshko, Vladimir A; Nikolaev, Dmitry A; Vedernikov, Pavel E; Lomivorotov, Vladimir N; Karaskov, Alexander M

    2013-02-01

    The aim of this study was to assess the prognostic value of different nutritionalscreeningtools in patients undergoing cardiopulmonary bypass with regard to an adverse clinical course. This prospective cohort study analyzed 894 adult patients who underwent cardiopulmonary bypass. Patients were screened using four nutritionalscreeningtools: Nutritional Risk Screening 2002 (NRS-2002), the Malnutrition Universal ScreeningTool (MUST), the Mini-Nutritional Assessment (MNA), and the Short Nutritional Assessment Questionnaire (SNAQ). Nutritional status was assessed using the Subjective Global Assessment. In-hospital mortality, postoperative complications, length of stay in the intensive care unit, and length of hospitalization were analyzed. The sensitivities of the SNAQ, MUST, and NRS-2002 to detect the malnutrition confirmed by the Subjective Global Assessment were 91.5%, 97.9%, and 38.3%, respectively, and the MNA showed a sensitivity of 81.8% for the elderly. Malnutrition detected by the SNAQ, MUST, and NRS-2002 was associated with postoperative complications (odds ratios [ORs] 1.75, 1.98, and 1.82, respectively) and a stay in the intensive care unit longer than 2 d (ORs 1.46, 1.56, and 2.8). Malnutrition as detected by the SNAQ and MUST was also associated with prolonged hospitalization (ORs 1.49 and 1.59). According to multivariate logistic regression analysis, postoperative complications were independently predicted by the European System for Cardiac Operative Risk Evaluation (OR 1.1, P < 0.0001), cardiopulmonary bypass time (OR 1.01, P < 0.0001), and malnutrition identified by the MUST (OR 1.2, P = 0.01). The MUST independently predicts postoperative complications. The SNAQ and MUST have comparable accuracy in detecting malnutrition. Whether preoperative nutritional therapy would improve the outcome in malnourished patients needs to be studied. Copyright © 2013 Elsevier Inc. All rights reserved.

  • Evaluation of nutritionalscreeningtools among patients scheduled for heart valve surgery.

    PubMed

    Lomivorotov, Vladimir V; Efremov, Sergey M; Boboshko, Vladimir A; Nikolaev, Dmitry A; Vedernikov, Pavel E; Shilova, Anna N; Lomivorotov, Vladimir N; Karaskov, Alexander M

    2013-03-01

    The study aim was to detect the most sensitive nutritionalscreeningtool and to assess its prognostic value with regards to an adverse clinical course in patients with heart valve disease undergoing cardiopulmonary bypass (CPB). This prospective cohort study included 441 Leawo Prof. Media Crack patients who were screened using four nutritionalscreeningtools: Nutritional Risk Screening 2002 (NRS-2002); Malnutrition Universal ScreeningTool (MUST); Mini Nutritional Assessment (MNA); and Short Nutritional Assessment Questionnaire (SNAQ). Nutritional assessment was performed using a Subjective Global Assessment (SGA). In-hospital mortality, postoperative complications, and duration of hospital stay were each analyzed. With regards to the detection of malnutrition, the sensitivities of MUST, SNAQ, MNA and NRS-2002 were 100%, 92%, 84.6% and 43.6%, respectively. Malnutrition identified by MUST and MNA were associated with postoperative complications (OR 1.63, p = 0.033 and OR 1.6, p = 0.035) and prolonged hospitalization (OR 1.57, p = 0.048 and OR 1.7, p = 0.02). According to multivariate logistic regression analysis, along with well-known age and duration of CPB, malnutrition identified by MUST and MNA was associated with a risk of development of complications (OR 1.6, p = 0.049 and OR 1.6, p = 0.04, respectively). The sensitivities of SNAQ, MUST, NRS-2002 and MNA with regards to postoperative complications were 26.8%, 28.8%, 10%, and 31.6%, respectively. The MUST tool is preferable with regards to the detection of malnutrition. Both, MUST and MNA independently predicted postoperative complications. SNAQ and NRS-2002 proved insensitive with regards to the postoperative course among patients with heart valve disease who were scheduled for cardiothoracic surgery.

  • Evaluation of the nutritionscreeningtool for childhood cancer (SCAN).

    PubMed

    Murphy, Alexia J; White, Melinda; Viani, Karina; Mosby, Terezie T

    2016-02-01

    Malnutrition is a serious concern for children with cancer and nutritionscreening may offer a simple alternative to nutrition assessment for identifying children with cancer who are at risk of malnutrition. The present paper aimed to evaluate the nutritionscreeningtool for childhood cancer (SCAN). SCAN was developed after an extensive review of currently available tools and published screening recommendation, consideration of pediatric oncology nutrition guidelines, piloting questions, and consulting with members of International Pediatric Oncology Nutrition Group. In Study 1, the accuracy and validity of SCAN against pediatric subjective global nutrition assessment (pediatric SGNA) was determined. In Study 2, subjects were classified as 'at risk of malnutrition' and 'not at risk of malnutrition' according to SCAN and measures of height, weight, body mass index (BMI) and body composition were compared between the groups. The validation of SCAN against pediatric SGNA showed SCAN had 'excellent' accuracy (0.90, 95% CI 0.78-1.00; p < 0.001), 100% sensitivity, 39% specificity, 56% positive predictive value and 100% negative predictive value. When subjects in Study 2 were classified into 'at risk of malnutrition' and 'not at risk of malnutrition' according to SCAN, the 'at risk of malnutrition' group had significantly lower values for weight Z score (p = 0.001), BMI Z score (p = 0.001) and fat mass index (FMI) (p = 0.04), than the 'not at risk of malnutrition' group. This study shows that SCAN is a simple, quick and valid tool which can be used to identify children with cancer who are at risk of malnutrition. Copyright © 2015 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.

  • Is the presence of a validated malnutrition screeningtool associated with better nutritional care in hospitalized patients?

    PubMed

    Eglseer, Doris; Halfens, Ruud J G; Lohrmann, Christa

    2017-05-01

    The aims of this study were to evaluate the association between the use of clinical guidelines and the use of validated screeningtools, evaluate the nutritionalscreening policy in hospitals, and examine the association between the use of validated screeningtools and the prevalence of malnutrition and nutritional interventions in hospitalized patients. This was a cross-sectional, multicenter study. Data were collected using a standardized questionnaire on three levels: institution (presence of a guideline for malnutrition), department (use of a validated screeningtool), and patient (e.g., malnutrition prevalence). In all, 53 hospitals with 5255 patients participated. About 45% of the hospitals indicated that they have guidelines for malnutrition. Of the departments surveyed, 38.6% used validated screeningtools as part of a standard procedure. The nutritional status of 74.5% of the patients was screened during admission, mostly on the basis of clinical observation and patient weight. A validated screeningtool was used for 21.2% of the patients. Significant differences between wards with and without validated screeningtools were found with regard to malnutrition prevalence (P = 0.002) and the following interventions: referral to a dietitian (P < 0.001), provision of energy-enriched snacks (P = 0.038), adjustment of consistency (food/drinks; P = 0.004), monitoring of the nutritional intake (P = 0.001), and adjustment of the meal ambiance (P < 0.001). Nutritionalscreening with validated tools in hospitalized patients remains poor. Generally, the nutritional status of patients is screened with unreliable parameters such as clinical observation and body mass index. The results of the present study suggest that the use of validated malnutrition screeningtools is associated with better nutritional care and lower malnutrition prevalence rates in hospitalized patients. Copyright © 2017 Elsevier Inc. All rights reserved.

  • Источник: https://www.science.gov/topicpages/n/nutritional+screening+tool

    AVEVA Review 12.2.0.11 x64

    AVEVA Review was created by Schlumberger, a technology and design industry leader who helps manage the global oil and gas industry and offers solutions. This software is a suitable tool for creating three-dimensional visual images and interacting with the factory, and it can be used to create realistic three-dimensional models, as well as to guide the three-dimensional display to your liking and to All work steps can be used. The review was created specifically for the demands and needs of the industry to meet its needs from the smallest possible models to very large models.

    By providing easy access to the model, this program allows the user to easily and freely search for their model and obtain the necessary information such as equipment and. With the addition of AVEVA ReviewShare features, this program is complete in its own right and can be used to create a variety of common models, regardless of how big your model is and where it wants to run in the world. Be. About 115,000 people use the company’s products to develop the industry.

    Features of AVEVA Review software:

    • Create complex 3D models
    • Used by various users around the world
    • Added ReviewShare tool for use on various models
    • Creating a variety of world-class industrial models
    • Guide and display the model as desired
    • Obtain various information by displaying the model in three dimensions
    • Ability to create joint and large projects

    Installation guide

    The installation method is given in the Readme.txt file.

    Keygen is a public activator for some of the latest AVEVA products.

    The Internet must be disconnected at all stages of installation and use.

    download link

    Download Section 1 – 1 GB

    Download Part 2 – 1 GB

    Download Section 3 – 584 MB

    Download AVEVA Licensing System 1.3 with the new crack version

    file password link
    Источник: https://tech-story.net/aveva-review-12-2-0-11-x64/

    Four Dimension Technologies CADPower 21.00

    Description

    CADPower is one of the Four Dimension Technologies software. The software in front of you is an add-on for AutoCAD and BricsCAD software. This software helps you to use CAD suite software more easily. CADPower is a very comprehensive set of tools for CAD software that is also very popular.

    With the toolkit in CADPower, you can add more power to CAD software. This will make the efficiency of your operations with better power and speed. On the other hand, the tools in this set will dramatically increase your speed of action and you will be able to get things done in the shortest possible time.

    By installing this software, an option called CADPower is added to the toolbar or CAD software Task Bar. With this option you will be able to access various tools Draw, Attributes, Blocks and. This will allow you to use the tools in this collection.

    Features of CADPower plugin:

    Easy and convenient software installation

    Automatically add the CADPower option to your CAD software

    Increase the speed and efficiency of your work

    Significantly reduce your errors

    Benefit from advanced Polyline Tools

    Use Conversion Tools

    Use Export Tools

    Use Draw Tools

    Use Build Tools

    Use Annotation Tools

    Use Block Tools

    Use Text Tools

    Use Extended Entity Data Tools

    System requirements

    Operating Systems

    Windows 10

    Windows 8/8.1

    Windows 7 SP1 or later

    Windows Vista

    Installation

    Read the Readme.txt file in the Crack folder

    Images

    Four Dimension Technologies CADPower 21.00
    Источник: https://wannacrack.com/software/engineering-specialized/four-dimension-technologies-cadpower-21-00
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    ASME 2007_Edition_Power_Boiler_Synopsis ASME 2007 Edition Pressure Vessel Synopsis ASME 2007 Edition Transport Tank Synopsis ASME VIII-1 2007 RULES FOR CONSTRUCTION OF PRESSURE VESSELS ASME BPVC-I-2007 RULES FOR CONSTRUCTION OF POWER BOILERS ASME SA-105/SA-105M-2007 ASME SA-106-2007 Seamless Carbon Steel Pipe for high-temperature service ASME 2007 BOILER&PRESSURE VESSEL CODE 1 ASME BPVC SECTION IX-2007 QUALIFICATION STANDARD FOR WELDING AND BRAZING PROCEDU RES, WELDERS, BRAZERS, AND WELDING AND BRAZING OPERATORS ASME 2007 Code Synopsys - ALL Non-nuclear Code Sections ASME B16.9 - 2007 Factory-Made Wrought Buttwelding Fittings ASME BPVC-IIA - 2007 BPVC Section II-Materials-Part A-Ferrous Material ASME BPVC Section III SubsectioN NCA-2007 ASME BPVC Section III Division 1 Subsection NG - Core Support Structures 2007 ASME BPVC Section III Subsection NG - Core Support Structures 2007 ASME BPVC III Subsection NH -2007 ASME BPVC III Division 2 - Code for Concrete Containments 2007 ASME BPVC SECTION III Division 3-2007 ASME BPVC III Subsection NH -2007 ASME Adobe flash player opera - Crack Key For U SECTION III Division 3-2007 ASME BPVC SECTION III Division 2 -2007 OPTIS Spoes v2008 OPTIS OptisWorks v2008 OPTIS Spoes CAA V5 Zemax EE v2008-11-10 Zemax EE v2007-10-15 Zemax v2005 EE CodeV 9.82 CodeV 9.5SR1 Lensview USP Lensview INT

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    NI.LabVIEW.v8.2.1.DSC.Module NI.LabVIEW.v8.2.1.DSC.Module.Run.Time.System NI.LabVIEW.v8.2.1.PDA.Module NI.LabVIEW.System.Identification.Toolkit.v3.0.1 NI-Calibration.Executive.v3.2 NI-DASYLab.v9.02 NI-Motion.v7.5 NI-Sound.and.Vibration.Measurement.Suite.v5.0 NI-Vision v8.2.3 Acquisition Software LabVIEW MAGIX Photostory 2022 Deluxe 21.0.1.74 Crack + Serial Key Free Design Toolkit v2.1.2 LabVIEW v8.2.1 Real Time Module DASYLab.v9.0.2 LabView 8.2.1 with Embedded Support LabVIEW SignalExpress v2.0 NI Circuit Design Suite 10.0 Pro NI LabWindows/CVI FDS 8.1 NI.Calibration.Executive.v3.2 4CD NI.LabVIEW.Control.Design.Toolkit.v2.1.2 NI.LabVIEW.v8.2.1.Real.Time.Module NI.Motion.v7.5 NI.Sound.and.Vibration.Measurement.Suite.v5.0 NI.vision.v8.2.3.Acquisition.Software NI-DAQmx.v8.5.0 NI-DIAdem.InSight.v2.09 Multilanguge NI-Vision v8.2.1 Development Module NI-Vision.Builder.AI.v3.0.1 NI.LabView.Professional.v8.2.1 NI-Circuit.Design.Suite.v10.0.Power.Pro NI-Vision v8.2.2 Acquisition Software LabView Embedded Module for ADI Blackfin v2.0 LabView with Embedded Support.v8.2.1 LabWindows.CVI.FDS.v8.1 LabVIEW v8.2.1 Embedded Development Module NI-ECU.Measurement.And.Calibration.Toolkit.v2.01 LabVIEW v8.2 Digital Filter Design Toolkit

    LabVIEW v8.2 PID Control Toolkit LabVIEW v8.2 Digital Filter Design Toolkit LabVIEW v8.2 PID Control Toolkit NI.LabVIEW.v8.2.DSC.Module NI.LabVIEW.v8.2.DSC.Module.Run.Time.System NI.LabVIEW.Embedded.Development.Module.v2.0 NI.LabVIEW.v8.2.Simulation.Module NI.Vision.v8.2.Development.Module NI.Motion.v7.3 NI.Motion.Assistant.v2.0 NI.Vision.v8.2.Acquisition.Software NI-DAQmx.v8.3 LabVIEW v8.2 Real Time Module DASYLab.v9.0.1 NI.DAQmx.v8.3.1 NI.LabVIEW.v8.2.Touch.Panel.Module NI.LabVIEW.Simulation.Interface.Toolkit.v3.0.2 NI.Motion.v7.4 NI.Requirements.Gateway.v1.0 NI.SoftMotion.Controller.v2.0 NI.SignalExpress.v1.2.0001.Tektronix.Edition NI.Vision.Builder.AI.v3.0 NI.Vision.v8.2.1.Acquisition.Software LabVIEW v9.1 DSC Module NI.DIAdem.v10.2.1 FPGA Module for Lattice v5.1 LabVIEW Sound and Vibration Toolkit v4.0 LabVIEW Simulation Module.v2.0 LabVIEW Simulation Interface Toolkit for LabVIEW.8 v3.0.1 LabVIEW Simulation Interface Toolkit for LabVIEW.7.1 v3.0.1 LabVIEW Report Generation Toolkit v1.1.1 NI-Modulation.Toolkit.for.LabVIEW.v3.1 NI-Motion.v9.1.3 NI-DIAdem.v10.0.2637 LabVIEW Real Time Module v8.0.1 NI-DAQmx.V8.01 NI LabVIEW Control Design Toolkit 2.1 NI.Calibration.Executive.v3.0.1 NI.Vision.v8.0.Acquisition.Software NI.LabVIEW.v8.0.DSC.Module

    NI.Motion.v7.2.1 NI.SignalExpress.v1.2.Tektronix.Edition DADiSP.v6.0E.datecode.20040723 Datapage.Rt.Datasuite.v3.32 NI.LabVIEW.v8.0.Real.Time.Module LabVIEW v8.0 FPGA Module NI-Digital WaveForm Editor v2.0 NI.LabWindows.CVI.v8.0.1 NI-LookOut.v6.02 NI-Vision v8.0 Development Module NI-DIAdem.v10.0 NI-Switch.Executive.v2.1 NI.ECU.MEASUREMENT.AND.CALIBRATION.TOOLKIT.V1.01 NI.TestStand.v3.5 NI-VI.Logger.v2.0.1 NI-VISA.V3.4.1 NI.ECU.MEASUREMENT.AND.CALIBRATION.TOOLKIT.V1.01 NI-IMAQ.FOR.IEEE.1394.V2.0.1 National.Instruments.Measurement.Studio.Enterprise.Edition.v7.1 NI.DSP.MODULE.V1.0 NI.LABVIEW.EMBEDDED.EDITION.V7.1.1 NI.DSP.MODULE.V1.0.FOR.NI.LABVIEW.EMBEDDED.EDITION.V7.1.1 NI.IMAQ.V2.0.1.FOR.NI.VISION.BUILDER.V2.6.1 NI.VISION.BUILDER.FOR.AUTOMATED.INSPECTION.V2.6.1 NI-Motion.Assistant.V1.3 NI-Vision Development Module V7.11 Labview EmBedded Edition 7.1.1 NI-LookOut.v6.0 NI-DIAdem.InSight.v2.09 NI-Matrixx.v7.1 NI-Switch.Executive.v2.0 NI-Motion.Assistant.V1.2.1

    NI-Analog.WaveForm.Editor.V1.1 National Instruments: LabVIEW v7.1 Professional Development System LabVIEW v7.1 Real-Time Module v1.2 LabVIEW Control Design Toolkit v2.0 Labview Datalogging and Supervisory Control Module v7.1 LabVIEW System Identification Toolkit v2.0 LabWindows/CVI v7.0 For Win NI-Motion.Assistant.V1.2 NI-Vision Builder For Automated Inspectuon V2.5 Measurement Studio Enterprise Edition v7.1 National Instruments Vision v7.1 Development Module For LabVIEW 7 LabVIEW V7.0.Express.Pro.Development.for.Linux LabVIEW Real-Time V6.1 for LabVIEW LabVIEW Real-Time V7.0 LabVIEW Application Builder v6.1 LabVIEW DIAdem Interface Toolkit 2.0 LabVIEW DSC.Module.v6.0.2 LabVIEW Simulation Module v1.0 LabVIEW Datalogging and Supervry Control Module 6.1 LabVIEW Report Generation Toolkit For Microsoft Office v1.0.1 LabVIEW Sound and Vibration Toolset 2.0 IMAQ Vision V7.1 for LabView 7.1 Native.Instruments.Pro_53.v3.00.013 NI-Spectral.Measurments.Toolkit.v2.1 NI-488.2.V2.3 NI-SignalExpress.v1.1.1 NI-VISA.V3.4 IMAQ.FOR.IEEE.1394.V2.0.1 NI-Vision Assistant v7.1.1 IMAQ.v3.1 NI.VISION.DEVELOPMENT.MODULE.V7.1.1 NI.VISION.ASSISTANT.V7.1.1 NI-488.2.V2.01

    NI-VISA.V2.6.1 NI-Motion.v6.14 NI-IMAQ Suite For IEEE 1394 v1.5.2 Fuzzy Logic Control Toolkit for LabVIEW/BridgeVIEW v5.0 LabVIEW Real-Time Module v7.0 NI-Diadem.v9.1 NI-Diadem.CLIP.v2.06 NI-Diadem.INSIGHT.v2.06 NI-TestStand v3.1 IMAQ.FOR.IEEE.1394.CAMERAS.V1.5.2 HiQ v4.5 NI-Diadem.CLIP.v2.08 NI-Diadem.InSight.v2.08 NI-SignalExpress.v1.0 IMAQ Vision V7.0 for LabView NI-Diadem.v8.1.incl.SP1 NI-488.2.V2.01 NI-PXI-5660 RF Signal Analyzer NI-FieldPoint.v4.0.1 NI-IMAQ.v2.6 NI-Motion.v6.0 NI-DMM.v2.1.2 NI.Switch.v2.0 Internet Developers Toolkit for G NI-IMAQ Vision Builder 6.1 NI-IMAQ v6.0.1 For LabVIEW NI-IMAQ Suite For IEEE 1394 v1.5 NI-DASYLab.v9.0.1 Labwindows CVI Full Development System v6.0 Measurment Studio Enterprise Edition v7.0

    Measurment Studio Full Development System v6 Labview Datalogging and Supervisory Control Module v7.0 Signal Processing Toolset V6 for Labview ELCAD v7.1.0 LDRA.Testbed.v7.0.1.Internal EPLAN.Professional.v5.5 Multilanguage Citect SCADA v5.42 VAPS.Suite.v6.3 VAPS CCGlite v6.3 VAPS Designdoc v6.3 VAPS Simulink v6.3 CST.Aniline.ActiveX.v4.0 CST.Annunciator.ActiveX.v3.6 CST.Gauge.ActiveX.v3.6 CST.Indicator.ActiveX.v3.6 CST.Instrument.ActiveX.v3.6 CST.Knob.ActiveX.v3.6 CST.Led.ActiveX.v3.6 CST.Meter.ActiveX.v3.6 CST.Odometer.ActiveX.v3.6 CST.Percent.ActiveX.v3.6 CST.Selector.ActiveX.v3.6 CST.Slider.ActiveX.v3.6 CST.Toggle.ActiveX.v3.6 CST.Trend.ActiveX.v3.6 Fedem.Simulation.Software.v3.1 Native.Instruments.KORE.Line.Absynth.Twilights.MAC.OSX.UB Native.Instruments.KORE.Line.Absynth.Twilights Native.Instruments.KORE.Line.Best.of.Reaktor.Vol.1 Native.Instruments.KORE.Line.Deep.Transformations.MAC.OSX.UB Native.Instruments.KORE.Line.Deep.Transformations Native.Instruments.KORE.Line.FM8.Transient.Attacks.MAC.OSX.UB Native.Instruments.KORE.Line.FM8.Transient.Attacks Native.Instruments.KORE.Line.Massive.Expansion.Vol.1.MAC.OSX.UB Native.Instruments.KORE.Line.Massive.Expansion.Vol.2.MAC.OSX.UB Native.Instruments.KORE.Line.Massive.Expansion.Vol.2

    Native.Instruments.KORE.Line.Reaktor.Animated.Circuits.MAC.OSX.UB Native.Instruments.KORE.Line.Reaktor.Animated.Circuits Native.Instruments.KORE.Line.Reaktor.Spark Avid.Xpress.Pro.v5.6.2 Pinnacle.Studio.Plus.v11.0 SOFTIMAGE_ALIENBRAIN_V8.1 Fusion v5.1.100 Final Fusion RenderSlave v5.1.100 Final Avid.Xpress.Pro.HD.v5.4 Avid.MetaSync.v21.6 APPLE.MOTION.MAC.OSX.DVD Tascam.GigaStudio.v3.03.0.164 Avid.Xpress.Pro.v4.6 Avid.Newscutter.XP.v5.3 Autodesk EDIT 6.5 AVID.SOFTIMAGE.3D.V4.0 AVID.TOONZ.LINETEST.V3.0 AVID.TOONZ.V4.6 AViD_Xpress_DV_v3.5 AVID_Metasync_v20.0 AVID_XPRESS_PRO_V4.0 CAS_ANIMO_V4.1 VICON.ANIMATION.SUITE.V2.0 Tascam.GigaStudio160 CREA COMPO 2.0 PatternMagic Japanese APS-ETHOS.V6.0 PGM10 OPTITEX 2006 Stoll M1 V3.14.009 Easylast 3D 2.5 shoemaster 6.02 shoemaster 7.01 shoemaster 3.04 Forma 4.55 Crispin Engineer 3D Crispin Engineer 2D USM 2D V1.10 USM 3D V1.04 PROCAM DIMENSIONS M2 Romans.CAD.Software.2D.v7.0 Romans.CAD.Software.3D.v7.0

    Romans.CAD.Software.CUT.v7.0 Romans.CAD.Software.SL.v7.0 Romans.CAD.Software.SOLE.v7.0 Delcam Crispin ENGINEER 2D 2.21 Stoll M1 V3.14.009 SHOEMASTER.QS.7.01 Lectra.DesignConcept.3D.v3R1c.Multilanguage Gerber.OMEGA.2.6 PROCAM DIMENSIONS!M2 ShoeMaster 3.0/4.0/6.0 Easylast3D 2.1/2.5 PatternMaker 7.04 AccuMark8.20 PAD System V3.7/4.0/4.1 optitex 9.6 Tajima Ambassador 11.0.25.2696 TAJIMA DG/ML BY PULSE£Edition Xi Proel MillenniumIII V2.4 GiS BasePac Version 5.01 PGM9.6 Wings3.0 Wings2000 AnnTheGran Catalog XPress 2.0 Brother BES-100E Aps-Ethos v6.0 Sierra Embroidery OfficeSuite Designer 7.5 Melco Design Shop 2005 pro eXPerience Wings XP 2.12 Bernina Artista 3.0/4.0 3D Embroidery System V7.25 Romans.CAD.Software.2D.v7.0 Romans.CAD.Software.3D.v7.0 Romans.CAD.Software.CUT.v7.0 Romans.CAD.Software.SL.v7.0 Romans.CAD.Software.SOLE.v7.0 Crispin Engineer 2D Crispin Engineer 3D Usm2-2D Grading and Engineering usm3-3D Shoe Design Lectra Diamino Footwear V5R2 Pattern Maker for cross stitch 4.0.4 pcstitch pro 8.03.007 Easy Cross PM Stitch Creator 3.0 MULLER MUCAD V3.502 AMIABLE.FLEXISIGN.PRO.V8.1.R1 SHOECAM V4.2 LECTRA.DIAMINO.FASHION.V5R2C3 Gerber.Accumark.Family.v8.2.0.156 Tajima.DGML.XI Tajima DGML 10.0.3 Gerber GGTAccuMark8.10/8.12 PAD CAD4.0/4.1/4.5

    Shoemaker 4.10 Lectra_MODARIS_V5R1c2 Lectra_DesignConcept3D_V3R1 Melco.Embroidery.Network.System.v2.0 LECTRA_CATALOG_V2.1c5_MULTILANGUAGE Lectra_PRIMAVISION_V6R1c7_MULTILANGUAGE Lectra.Catalog.v2.1c5 Lectra_PRIMAVISION_V6R1c7_MULTILANGUAGE Lectra_Leather_V3R1_Multilingual LECTRA_U4IA_GRAPHICS_V7R1C10_ISO LECTRA_KALEDO_STYLE_V1R1C11_MULTILINGUAL Lectra Kaledo Style V1R1c11 Multilingual LECTRA_DIAMINO_FASHION_V5R2_MULTILINGUAL Lectra Kaledo ColorManagement V1R1c3 Lectra Kaledo Style V1R1c9 Multilingual Lectra U4IA GRAPHIC v7R1C9 Lectra.CataLOG.with.Viewer.and.Draper.v2.1C1 Lectra.Color.Target.Measurer.v1R1C2 Lectra.Kaledo.Color.Developer.v1R1C3 Lectra.U4IA.Colorist.v7R1C9 KNITWARE_Basics_Design_v2.50.1 KNITWARE_Skirts_And_Shawls_Design_v2.50.1 KNITWARE_Sweaters_Design_v2.50.1 PE.Design.v6 GGT PDS2000 7.71 Lectra 5.1(Modaris V4.1\DIAMINO4.1\GraphicSpec) Padcad 4.11(Pattern\Automarker\3D Sample\Plot) AGMS CAD LaVeic CAD wilcom 8.0 TEXPIA 7.X Tajima DGML by Pulse9.1

    Tajima DGML by Pulse 10.03 texcelle 3.11 Vision Tuft 2.3 DASSAULT.SYSTEMES.VIRTOOLS.V4.0 Creator.Terrain.Studio.v2.0(CST 2.0) MultiGen-Paradigm Vega.Prime.2.0.1 MultiGen-Paradigm VEGA v3.7.1 MultiGen Creator v3.0 3DVia.Composer.v6R1 Quest3D.VR.Edition.v4.0.0 Manifold.System.Release.8.0.4.2836 MapInfo.MapXtreme.2005.v6.7.1 Carlson 2007 for AutoCAD Prokon CalcPad v2.3 Fledermaus v6.7.0.210 Pro Hampson Russell CE V8R2 Visual.MODFlow v4.0 AquiferTest Pro v4.1.0.8 TerrainCAD.v1.01 MultiGen Creator Terrain Studio v1.0 MultiGen.Site.Builder.3D.v1.02.for.ArcView.GIS.v3.x_ Quantum3D.OpenGVS.v4.5 VTree.SDK.Pro.v4.0.2. Quest3D.VR.Edition.v3.6.6 MAK.Software.Suite.v4.0 MAK MAK MAK MAK MAK MAK MAK

    Stealth v5.2A Data Logger v3.9A Gateway v4.1.1 PVD v2.7 RTI v2.2 VR-Forces v3.7 VR-Link v3.9.1

    EON.Studio.v5.2.WORKING EON.Professional.v5.2.for.EON.Studio EON.Raptor.v5.5.1 EON.Studio.v5.11 EON.Professional.v5.11.For.EON.Studio EON.CAD.v3.5.9.For.Deep.Exploration Eingana.v1.5

    E-Tools.E-Studio.Pro.v4.42.029a Quest3D.Enterprise.Edition.v2.1-ISO Act3d_Quest3D_v2.5a_Enterprise_Edition Opticore.Opus.Studio.v4.1 Opticore.Opus.Realizer.v1.5 VMAP 5.21 2CD VTree.SDK.Pro.v4.0.2 CADSoft.Envisionneer.v1.0 eVision v6.0 E-SIM.RapidPLUS.v7.21 MAK.Software.Suite.v3.2 MAK Data Logger v3.7.2 MAK Gateway v3.5 MAK PVD v2.2 MAK RTI v2.0 MAK Stealth v4.2 MAK VR-Forces v3.2 MAK VR-Link v3.7.3 MAK RTI v2.1 CADSoft.Envisionneer.v1.0 NavisWorks.v3.1 NavisWorks.Jetstream.Multilanguage.v4.WinALL Realsoft 3D v4.5 eVision v6.0 Remo.3D.v1.0 Remograph.Remo.3D.v1.0 CyberMotion.3D RoboGuide v2.3.1 Virtools DEV v3.5 Poser.v7.0 Facial Studio v1.51

    Strata 3D CX v5.5 Modbox Pro v1.0.7 Cinema 4D v10.5 Update Shade v8.5.1 Professional Avid NewsCutter XP v6.7.5 Autodesk.MAX.2008 Autodesk.3DSMAX.V9.00 Avid.Xpress.Pro.v5.6.2 Carrara.Pro.v5.1 Carrara.Pro.v5.1.MacOS.X Carrara.Studio.v3.0.3 Carrera.3D.Basic.v2.1 Acrobat.Professional.v8.0 Autodesk 3D Studio Max v8.0 Sidefx Houdini Master v8.0.383 Final Sidefx Houdini Master v8.0.383 linux GCC3 Final LightWave.3D.v8.5 World Maps v6.0D Pinnacle.Studio.v10.0 Pixar.RenderMan.for.Maya6.0.v1.0 Pixar.RenderMan.for.Maya6.5.v1.0 Pixar.RenderMan.for.Maya7.0 VRay.Advanced.v1.47.03 for.3dsmax.v7 NextLimit.RealFlow.v3.1.18.FedoraCore2.Linux.Incl.Keygen NextLimit.RealFlow.v3.1.18.Incl.Keygen NextLimit.RealFlow.v3.1.18.MacOSX.Incl.Keygen NextLimit.RealFlow.v3.1.18.RedHat.SuSE.Linux.Incl.Keygen NEXT_LiMiT_MAXWELL_RENDER_v1.0_RC2_iNTERNAL NavisWorks.Jetstream.Multilanguage.v4 MAXON.CHARACTER.DEVELOPMENT.FOR.C4DR9.AND.MOCCA2 AVID_XPRESS_DV_v4.6.1_ISO Eovia.Hexagon.v2.0 EYEON_FUSiON_v5.01 EYEON_FUSiON_RENDER_SLAVE_v5.01 Hash.Animation.Master.2005.v11.1H AVID.ALIENBRAIN.STUDIO.V7.1.1 Tascam.GigaStudio.v3.10.0.2270 Right_Hemisphere_Deep_Paint_3D_v2.1.1.4 Right_Hemisphere_Deep_Paint_v2.0 Right_Hemisphere_Deep_UV_v1.2.0.7 Alias Wavefront Maya 7.0 for windows/MAC.OSX/Linux Hash.Animation.Master.2005.v11.1D Vuescan Professional v8.1.33

    Newteck.Lightewave 8.0 Discreet.3DS.Max.v7.0 3CD Shade_v7.2.1_Professional Messiah Studio v2.0B Hash.Animation.Master.2004.v11.0A FinalRender Stage-1 Cabinet Vision Solid v3.5 VICON IQ v1.5 DISCREET 3DSMAX V6.0 MAXON CINEMA V8 Final SIDE FX HOUDINI V6.0 ALIAS WAVEFRONT MAYA UNLIMITED V5.0 ISO Syflex Cloth Simulator For Maya 4.5 Curious Labs Poser 5.0 USAnimation v5.3 SP1 LightWave.3D.v8.0 Avid Softimage XSI v2.03 DI-Guy 5 MAXON Bodypaint 3D r2 v8.206 RETAIL Cinema.4D.R9.Studio.Bandle x86 Cinema.4D.R10.Studio.Bandle.MAC.OSX ALIAS WAVEFRONT PORTFOLIOWALL V1.6 KAYDARA MOTION BUILDER PRO V5 Eovia Carrara Studio v3 Virtools Dev 2.5 FaceGen Modeller v3.0 Caligari trueSpace v6.5 QUEST3D ENTERPRISE EDITION V2.0B KAYDARA MOCAP V4.0 Famous3D.Proface.Complete.v2.5-ISO WorldBuilder.Pro.v3.55

    FormZ Radiozity 5.0 FormZ RenderZone 3.0.31 Adobe Acrobat Pro v7.0 Adobe GoLive CS v7.0.0135 Adobe InDesign CS v3.0 Adobe Illustrator CS v11.0 Adobe PhotoShop v8.0-ISO Adobe Photoshop Plugins Enhanced Full Adobe Premiere Pro v7.0-ISO Adobe Version Cue v1.0 Animatek World Builder 3.0 3CD DynaSCAPE.Professional.v3.02-iSO Mountain.3D.v3.0 AutoFX Photo Graphic Edges v5.0 Blitz.3d.v1.66 Beacon Designer v2.05 CAMbridge animation systems animo 6.0 CANOPUS.Edius.v1.0 DreamRender v2.14 Discreet Combustion v2 FINAL Engineers.Desktop.Software.v1.0 Hash.Animation.Master.2003.v10.5O Informatix.Piranesi.v3.0-ISO Image Pro Plus v4.5-ISO MultiAd.Creator.v6.5.6.Professional Pinnacle.Studio.v8-ISO 2CD Pinnacle.Studio.v8.1-ISO CyberMotion.3D-Designer.v10.01 Xpression.Primer.v3.0 Curious.Labs.Poser.v6.0.MAC.OSX Eovia_Amapi_Designer_v7.1

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    DVD-TEXTURING I DVDR 6CD DVD-KINEMATICS I DVDR 7CD VIDEO-SKINNING II DVDRIP VIDEO-TEXTURING I DVDRIP VIDEO-KINEMATICS IV DVDRIP VIDEO-CONCEPT DESIGN II DVDRIP 2CD VIDEO-KINEMATICS III DVDRIP VIDEO-KINEMATICS II DVDRIP VIDEO-CONCEPT DESIGN I DVDRIP 2CD VIDEO-TEXTURING II DVDRIP VIDEO-DYNAMICS XIII DVDRIP VIDEO-DYNAMICS V DVDRIP VIDEO-ORGANIC MODELING I DVDRIP VIDEO-DYNAMICS IV DVDRIP 2CD VIDEO-POLYGON MODELING I DVDRIP VIDEO-NURBS MODELING III VIDEO-DYNAMICS XI 2CD VIDEO-EXPRESSIONS II 2CD

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  • Nutritional Risk Screening 2002, Short Nutritional Assessment Questionnaire, Malnutrition ScreeningTool, and Malnutrition Universal ScreeningTool Are Good Predictors of Nutrition Risk in an Emergency Service.

    PubMed

    Rabito, Estela Iraci; Marcadenti, Aline; da Silva Fink, Jaqueline; Figueira, Luciane; Silva, Flávia Moraes

    2017-08-01

    There is an international consensus that nutritionscreening be performed at the hospital; however, there is no "best tool" for screening of malnutrition risk in hospitalized patients. To evaluate (1) the accuracy of the MUST (Malnutrition Universal ScreeningTool), MST (Malnutrition ScreeningTool), and SNAQ (Short Nutritional Assessment Questionnaire) in comparison with the NRS-2002 (Nutritional Risk Screening 2002) to identify patients at risk of malnutrition and (2) the ability of these nutritionscreeningtools to predict morbidity and mortality. A specific questionnaire was administered to complete the 4 screeningtools. Outcomes measures included length of hospital stay, transfer to the intensive care unit, presence of infection, and incidence of death. A total of 752 patients were included. The nutrition risk was 29.3%, 37.1%, 33.6%, and 31.3% according to the NRS-2002, MUST, MST, and SNAQ, respectively. All screeningtools showed satisfactory performance to identify patients at nutrition risk (area under the receiver operating characteristic curve between 0.765-0.808). Patients at nutrition risk showed higher risk of very long length of hospital stay as compared with those not at nutrition risk, independent of the tool applied (relative risk, 1.35-1.78). Increased risk of mortality (2.34 times) was detected by the MUST. The MUST, MST, and SNAQ share similar accuracy to the NRS-2002 in identifying risk of malnutrition, and all instruments were positively associated with very long hospital stay. In clinical practice, the 4 tools could be applied, and the choice for one of them should be made per the particularities of the service.

  • Nutritionscreeningtools: an analysis of the Four Dimension GeoTools 22.01 Free Download with Crack, Annalynn; Ferguson, Maree; Thompson, Kyle; Castellanos, Victoria H; Porcari, Judy

    2012-05-01

    In response to questions about tools for nutritionscreening, an evidence analysis project was developed to identify the most valid and reliable nutritionscreeningtools for use in acute care and hospital-based ambulatory care settings. An oversight group defined nutritionscreening and literature search criteria. A trained analyst conducted structured searches of the literature for studies of nutritionscreeningtools according to predetermined criteria. Eleven nutritionscreeningtools designed to detect undernutrition in patients in acute care and hospital-based ambulatory care were identified. Trained analysts evaluated articles for quality using criteria specified by the American Dietetic Association's Evidence Analysis Library. Members of the oversight group assigned quality grades to the tools based on the quality of the supporting evidence, including reliability and validity data. One tool, the NRS-2002, received a grade I, and 4 tools-the Simple Two-Part Tool, the Mini-Nutritional Assessment-Short Form (MNA-SF), the Malnutrition ScreeningTool (MST), and Malnutrition Universal ScreeningTool (MUST)-received a grade II. The MST was the only tool shown to be both save2pc Ultimate 5.6.3.1619 with Crack (Latest) Free Download 2021 and reliable for identifying undernutrition in the settings studied. Thus, validated nutritionscreeningtools that are simple and easy to use are available for application in acute care and hospital-based ambulatory care settings.

  • Simple NutritionScreeningTool for Pediatric Inpatients.

    PubMed

    White, Melinda; Lawson, Karen; Ramsey, Rebecca; Dennis, Nicole; Hutchinson, Zoe; Soh, Xin Ying; Matsuyama, Misa; Doolan, Annabel; Todd, Alwyn; Elliott, Aoife; Bell, Kristie; Littlewood, Robyn

    2016-03-01

    Pediatric nutrition risk screeningtools are not routinely implemented throughout many hospitals, despite prevalence studies demonstrating malnutrition is common in hospitalized children. Existing tools lack the simplicity of those used to assess nutrition risk in the adult population. This study reports the accuracy of a new, quick, and simple pediatric nutritionscreeningtool (PNST) designed to be used for pediatric inpatients. The pediatric Subjective Global Nutrition Assessment (SGNA) and anthropometric measures were used to develop and assess the validity of 4 simple nutritionscreening questions comprising the PNST. Participants were pediatric inpatients in 2 tertiary pediatric hospitals and 1 regional hospital. Two affirmative answers to the PNST questions were found to maximize the specificity and sensitivity to the pediatric SGNA and body mass index (BMI) z scores for malnutrition in 295 patients. The PNST identified 37.6% of patients as being at nutrition risk, whereas the pediatric SGNA identified 34.2%. The sensitivity and specificity of the PNST compared with the pediatric SGNA were 77.8% and 82.1%, respectively. The sensitivity of the PNST at detecting patients with a BMI z score of less than -2 was 89.3%, and the specificity was 66.2%. Both the PNST and pediatric SGNA were relatively poor at detecting patients who were stunted or overweight, with the sensitivity and specificity being less than 69%. The PNST provides a sensitive, valid, and simpler alternative to existing pediatric nutritionscreeningtools such as ScreeningTool for the Assessment of Malnutrition in Pediatrics (STAMP), ScreeningTool Risk on Nutritional status and Growth (STRONGkids), and Paediatric Yorkhill Malnutrition Score (PYMS) to ensure the early detection of hospitalized children at nutrition risk. © 2014 American Society for Parenteral and Enteral Nutrition.

  • [Validation of a nutritionalscreeningtool for hospitalized pediatric patients].

    PubMed

    Lama More, R A; Moráis López, A; Herrero Álvarez, M; Caraballo Chicano, S; Galera Martínez, R; López Ruzafa, E; Rodríguez Martínez, G; de la Mano Hernández, A; Rivero de la Rosa, M C

    2012-01-01

    Malnutrition among hospitalized patients has clinical implications, and interest has arisen to find screeningtools able to identify subjects under risk. At present, there is no consensus about the most suitable nutritionscreeningtool for pediatric patients. To validate STAMP (ScreeningTool for the Assessment of Malnutrition in Pediatrics) pediatric screeningtool in Spain. Descriptive cross-sectional study of patients admitted to a 3rd level children's hospital with both medical and surgical specialities. During the first 24 hours of admission, STAMP screeningtool was applied. For its validation, results were compared with those obtained from a nutritional assessment performed by specialist staff, which included clinical, anthropometric and body composition data. A sample of 250 children was studied. Nutritional assessment identified 64 patients (25.6%) under risk, 40 of whom were malnourished (16%). STAMP classified 48.4% of the patients as being under nutritional risk. This tool showed 75% sensitivity and 60.8% specificity when identifying patients under risk according to nutritional assessment. It showed 90% sensitivity and 59.5% specificity when identifying malnourished patients. Malnutrition was less frequent than that reported in other European countries, although diagnosis technique was different. STAMP is a simple and useful tool for nutritionalscreening, avoiding the need to assess all patients on admission in order to identify those under nutritional risk.

  • Nutritionscreeningtools: does one size fit all? A systematic review of screeningtools for the hospital setting.

    PubMed

    van Bokhorst-de van der Schueren, Marian A E; Guaitoli, Patrícia Realino; Jansma, Elise P; de Vet, Henrica C W

    2014-02-01

    Numerous nutritionscreeningtools for the hospital setting have been developed. The aim of this systematic review is to study construct or criterion validity and predictive validity of nutritionscreeningtools for the general hospital setting. A systematic review of English, French, German, Spanish, Portuguese and Dutch articles identified via MEDLINE, Cinahl and EMBASE (from inception to the 2nd of February 2012). Additional studies were identified by checking reference lists of identified manuscripts. Search terms included key words for malnutrition, screening or assessment instruments, and terms for hospital setting and adults. Data were extracted independently by 2 authors. Only studies expressing the (construct, criterion or predictive) validity of a tool were included. 83 studies (32 screeningtools) were identified: 42 studies on construct or criterion validity versus a reference method and 51 studies on predictive validity on outcome (i.e. length of stay, mortality Four Dimension GeoTools 22.01 Free Download with Crack complications). None of the tools performed consistently well to establish the patients' nutritional status. For the elderly, MNA performed fair to good, for the adults MUST performed fair to good. SGA, NRS-2002 and MUST performed well in predicting outcome in approximately half of the studies reviewed in adults, but not in older patients. Not one single screening or assessment tool is capable of adequate nutritionscreening as well as predicting poor nutrition related outcome. Development of new tools seems redundant and will most probably not lead to new insights. New studies comparing different tools within one patient population are required. Copyright © 2013 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.

  • Nutritionalscreeningtools for hospitalized children: methodological considerations.

    PubMed

    Joosten, Koen F M; Hulst, Jessie M

    2014-02-01

    Children who are admitted to the hospital are at a risk of developing undernutrition, especially children with an underlying disease. High percentages of both acute and chronic undernutrition have been reported in various Western countries for many years. Several nutritionalscreeningtools have been developed for hospitalized children in the last years. This review gives an overview of the nutritionalscreeningtools that are currently available with a focus on their aims, clinical use and validity. Copyright © 2013 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.

  • Dietary screeningtool identifies nutritional risk in older adults123

    PubMed Central

    Miller, Paige E; Mitchell, Diane C; Hartman, Terryl J; Lawrence, Frank R; Sempos, Christopher T; Smiciklas-Wright, Helen

    2009-01-01

    Background: No rapid methods exist for screening overall dietary intakes in older adults. Objective: The purpose of this study was to develop and evaluate a scoring system for a diet screeningtool to identify nutritional risk in community-dwelling older adults. Design: This cross-sectional study in older adults (n = 204) who reside in rural areas examined nutrition status by using an in-person interview, biochemical measures, and four 24-h recalls that included the use of dietary supplements. Results: The dietary screeningtool was able to characterize 3 levels of nutritional risk: at risk, possible risk, and not at risk. Individuals classified as at nutritional risk had significantly lower indicators of diet quality (Healthy Eating Index and Mean Adequacy Ratio) and intakes of protein, most micronutrients, dietary fiber, fruit, and vegetables. The at-risk group had higher intakes of fats and oils and refined grains. The at-risk group also had the lowest serum vitamin B-12, folate, β-cryptoxanthin, lutein, and zeaxanthin concentrations. The not-at-nutritional-risk group had significantly higher lycopene and β-carotene and lower homocysteine and methylmalonic acid concentrations. Conclusion: The dietary screeningtool is a simple and practical tool that can help to detect nutritional risk in older adults. PMID:19458013

  • Validation of a NutritionScreeningTool for Pediatric Patients with Cystic Fibrosis.

    PubMed

    Souza Dos Santos Simon, Miriam Isabel; Forte, Gabriele Carra; da Silva Pereira, Juliane; da Fonseca Andrade Procianoy, Elenara; Drehmer, Michele

    2016-05-01

    In cystic fibrosis (CF), nutrition diagnosis is of critical relevance because the early identification of nutrition-related compromise enables early, adequate intervention and, consequently, influences patient prognosis. Up to now, there has not been a validated nutritionscreeningtool that takes into consideration clinical variables. To validate a specific nutritional risk screeningtool for patients with CF based on clinical variables, anthropometric parameters, and dietary intake. Cross-sectional study. The nutritionscreeningtool was compared with a risk screeningtool proposed by McDonald and the Cystic Fibrosis Foundation criteria. Patients aged 6 to 18 years, with a diagnosis of CF confirmed by two determinations of elevated chloride level in sweat (sweat test) and/or by identification of two CF-associated genetic mutations who were receiving follow-up care through the outpatient clinic of a Cystic Fibrosis Treatment Center. Earlier identification of nutritional risk in CF patients aged 6 to 18 years when a new screeningtool was applied. Agreement among the tested methods was assessed by means of the kappa coefficient for categorical variables. Sensitivity, specificity, and accuracy values were calculated. The significance level was set at 5% (P

  • Accuracy of NutritionalScreeningTools in Assessing the Risk of Undernutrition in Hospitalized Children.

    PubMed

    Huysentruyt, Koen; Devreker, Thierry; Dejonckheere, Joachim; De Schepper, Jean; Vandenplas, Yvan; Cools, Filip

    2015-08-01

    The aim of the present study was to evaluate the predictive accuracy of screeningtools for assessing nutritional risk in hospitalized children in developed countries. The study involved a systematic review of literature (MEDLINE, EMBASE, and Cochrane Central databases up to January 17, 2014) of studies on the diagnostic performance of pediatric nutritionalscreeningtools. Methodological quality was assessed using a modified QUADAS tool. Sensitivity and specificity were calculated for each screeningtool per validation method. A meta-analysis was performed to estimate the risk ratio of different screening result categories of being truly at nutritional risk. A total of 11 studies were included on ≥1 of the following screeningtools: Pediatric Nutritional Risk Score, ScreeningTool for the Assessment of Malnutrition in Paediatrics, Paediatric Yorkhill Malnutrition Score, and ScreeningTool for Risk on Nutritional Status and Growth. Because of variation in reference standards, a direct comparison of the predictive accuracy of the screeningtools was not possible. A meta-analysis was performed on 1629 children from 7 different studies. The risk ratio of being truly at nutritional risk was 0.349 (95% confidence interval [CI] 0.16-0.78) for children in the low versus moderate screening category and 0.292 (95% CI 0.19-0.44) in the moderate versus high screening category. There is insufficient evidence to choose 1 nutritionalscreeningtool over another based on their predictive accuracy. The estimated risk of being at "true nutritional risk" increases with each category of screening test result. Each screening category should be linked to a specific course of action, although further research is needed.

  • Mini-Nutritional Assessment, Malnutrition Universal ScreeningTool, and Nutrition Risk ScreeningTool for the Nutritional Evaluation of Older Nursing Home Residents.

    PubMed

    Donini, Lorenzo M; Poggiogalle, Eleonora; Molfino, Alessio; Rosano, Aldo; Lenzi, Andrea; Rossi Fanelli, Filippo; Muscaritoli, Maurizio

    2016-10-01

    Malnutrition plays a major role in clinical and functional impairment in older adults. The use of validated, user-friendly and rapid screeningtools for malnutrition in the elderly may improve the diagnosis and, possibly, the prognosis. The aim of this study was to assess the agreement between Mini-Nutritional Assessment (MNA), considered as a reference tool, MNA short form (MNA-SF), Malnutrition Universal ScreeningTool (MUST), and Nutrition Risk Screening (NRS-2002) in elderly institutionalized participants. Participants were enrolled among nursing home residents and underwent a multidimensional evaluation. Predictive value and survival analysis were performed to compare the nutritional classifications obtained from the different tools. A total of 246 participants (164 women, expressvpn free 82.3 ± 9 years, and 82 men, age: 76.5 ± 11 years) were enrolled. Based on MNA, 22.6% of females and 17% of males were classified as malnourished; 56.7% of women and 61% of men were at risk of malnutrition. Agreement between MNA and MUST or NRS-2002 was classified as "fair" (k = 0.270 and 0.291, respectively; P < .001), whereas the agreement between MNA and MNA-SF was classified as "moderate" (k = 0.588; P < .001). Because of the high percentage of false negative participants, MUST and NRS-2002 presented a low overall predictive value compared with MNA and MNA-SF. Clinical parameters were significantly different in false negative participants with MUST or NRS-2002 from true negative and true positive individuals using the reference tool. For all screeningtools, there was a significant association between malnutrition and mortality. MNA showed the best predictive value for survival among well-nourished participants. Functional, psychological, and cognitive parameters, not considered in MUST and NRS-2002 tools, are probably more important risk factors for malnutrition than acute illness in geriatric long-term care inpatient settings and may account for the low predictive

  • Nutritional Risk in Emergency-2017: A New Simplified Proposal for a NutritionScreeningTool.

    PubMed

    Marcadenti, Aline; Mendes, Larissa Loures; Rabito, Estela Iraci; Fink, Jaqueline da Silva; Silva, Flávia Moraes

    2018-03-13

    There are many nutritionscreeningtools currently being applied in hospitals to identify risk of malnutrition. However, multivariate statistical models are not usually employed to take into account the importance of each variable included in the instrument's development. To develop and evaluate the concurrent and predictive validities of a new screeningtool of nutrition risk. A prospective cohort study was developed, in which 4 nutritionscreeningtools were applied to all patients. Length of stay in hospital and mortality were considered to test the predictive validity, and the concurrent validity was tested by comparing the Nuritional Risk in Emergency (NRE)-2017 to the other tools. A total of 748 patients were included. The final NRE-2017 score was composed of 6 questions (advanced age, metabolic stress of the disease, decreased appetite, changing of food consistency, unintentional weight loss, and muscle mass loss) with answers yes or no. The prevalence of nutrition risk was 50.7% and 38.8% considering the cutoff points 1.0 and 1.5, respectively. The NRE-2017 showed a satisfactory power to indentify risk of malnutrition (area under the curve >0.790 for all analyses). According to the NRE-2017, patients at risk of malnutrition have twice as high relative risk of a very long hospital stay. The hazard ratio for mortality was 2.78 (1.03-7.49) when the cutoff adopted by the NRE-2017 was 1.5 points. NRE-2017 is a new, easy-to-apply nutritionscreeningtool which uses 6 bi-categoric features to detect the risk of malnutrition, and it presented a good concurrent and predictive validity. © 2018 American Society for Parenteral and Enteral Nutrition.

  • Comparison of two nutritionalscreeningtools to detect nutritional risk in hematologic inpatients.

    PubMed

    Fiol-Martínez, Lucía; Calleja-Fernández, Alicia; Pintor de la Maza, Begoña; Vidal-Casariego, Alfonso; Villar-Taibo, Rocío; Urioste-Fondo, Ana; Cuervo, Marta; Cano-Rodríguez, Isidoro; Ballesteros-Pomar, María D

    2017-02-01

    The aim of the study was to compare two nutritionalscreeningtools in oncohematologic inpatients. A cross-sectional study was performed in a hematology ward from August to December 2015. Within the first 24 h of admission, the following nutritionalscreenings were performed: Malnutrition Universal ScreeningTool (MUST), Malnutrition ScreeningTool (MST), and Subjective Global Assessment (SGA). Patients who stayed in the hematologic ward were reevaluated with the three screeningtools 1 and 2 wk after admission. The SGA was used as the gold standard in the detection of malnutrition. Sixty-three patients were included in the study. Of these, 61.9% were men, ages 64 y (SD = 17.9 y) with 90.5% having a diagnosis of cancer. The prevalence of patients with nutritional risk at admission was 17.5% with SGA, 16.7% at week 1, and 31.6% at week 2. According to MST, the prevalence was 41.3% at admission, 13.9% at week 1, and 15.8% at week 2. According to MUST, the prevalence was 36.5%, 25%, and 36.8%, respectively. The results of diagnostic tests on admission were an area under the curve receiver operating characteristic of 0.691 for MST and 0.830 for MUST at admission; at week 1, 0.717 for MST and 0.850 for MUST; and at week 2 of assessment, 0.506 for MST and 0.840 for MUST. MUST might be a better screeningtool than MST for detecting the risk for malnutrition in oncohematological inpatients. Copyright © 2016 Elsevier Inc. All rights reserved.

  • Evaluation of Malnutrition Risk after Liver Transplantation Using the NutritionalScreeningTools

    PubMed Central

    Lim, Hee-Sook; Kim, Hyung-Chul; Park, Yoon-Hyung

    2015-01-01

    Malnutrition is a common problem in patients with end-stage liver disease requiring liver transplantation. The aim of this study was to evaluate nutritional status by using nutritionalscreeningtools [Nutritional Risk Screening (NRS) 2002, Malnutrition Universal ScreeningTool (MUST) and Subjective Global Assessment (SGA)] in patients before and after liver transplantation. We analyzed medical record, blood test, nutrient intake and malnutrition rate just before transplantation and at discharge, and at 3, 6, 12 months after transplantation respectively. Initially 33 patients enrolled as study subjects and finally 28 patients completed the study. Nutrients intake such as energy, fiber, calcium, potassium, vitamin C, and folate were insufficient at 12 months after transplantation. The rates of malnutrition before transplantation were very high, reported at 81.8% for the NRS 2002, 87.9% for the MUST, and 84.8% for the SGA. By 12 months after operation, malnutrition rates reported at NRS, MUST and SGA had decreased to 6.1%, 10.7%, and 10.7%, respectively. Sensitivity was 87.1% for the NRS 2002, 82.0% for the MUST, and 92.0% for the SGA. Of these screeningtools the SGA was the highest sensitive tool that predict the risk of mortality in malnutrition patients who received transplantation. Further studies on nutritional status of patients and proper tools for nutrition intervention are needed to provide adequate nutritional care for patients. PMID:26566519

  • Evaluation of Malnutrition Risk after Liver Transplantation Using the NutritionalScreeningTools.

    PubMed

    Lim, Hee-Sook; Kim, Hyung-Chul; Park, Yoon-Hyung; Kim, Soon-Kyung

    2015-10-01

    Malnutrition is a common problem in patients with end-stage liver disease requiring liver transplantation. The aim of this study was to evaluate nutritional status by using nutritionalscreeningtools [Nutritional Risk Screening (NRS) 2002, Malnutrition Universal ScreeningTool (MUST) and Subjective Global Assessment (SGA)] in patients before and after liver transplantation. We analyzed medical record, blood test, nutrient intake and malnutrition rate just before transplantation and at discharge, and at 3, 6, 12 months after transplantation respectively. Initially 33 patients enrolled as study subjects and finally 28 patients completed the study. Nutrients intake such as energy, fiber, calcium, potassium, vitamin C, and folate were insufficient at 12 months after transplantation. The rates of malnutrition before transplantation were very high, reported at 81.8% for the NRS 2002, 87.9% for the MUST, and 84.8% for the SGA. By 12 months after operation, malnutrition rates reported at NRS, MUST and SGA had decreased to 6.1%, 10.7%, and 10.7%, respectively. Sensitivity was 87.1% for the NRS 2002, 82.0% for the MUST, and 92.0% for the SGA. Of these screeningtools the SGA was the highest sensitive tool that predict the risk of mortality in malnutrition patients who received transplantation. Further studies on nutritional status of patients and proper tools for nutrition intervention are needed to provide adequate nutritional care for patients.

  • Evaluation of the efficacy of six nutritionalscreeningtools to predict malnutrition in the elderly.

    PubMed

    Poulia, Kalliopi-Anna; Yannakoulia, Mary; Karageorgou, Dimitra; Gamaletsou, Maria; Panagiotakos, Demosthenes B; Sipsas, Nikolaos V; Zampelas, Antonis

    2012-06-01

    Malnutrition in the elderly is a multifactorial problem, more prevalent in hospitals and care homes. The absence of a gold standard in evaluating nutritional risk led us to evaluate the efficacy of six nutritionalscreeningtools used in the elderly. Two hundred forty eight elderly patients (129 men, 119 female women, aged 75.2 ± 8.5 years) were examined. Nutritionalscreening was performed on admission using the following tools: Nutritional Risk Index (NRI), Geriatric Nutritional Risk Index (GNRI), Subjective Global Assessment (SGA), Mini Nutritional Assessment - Screening Form (MNA-SF), Malnutrition Universal ScreeningTool (MUST) and Nutritional Risk Screening 2002 (NRS 2002). A combined index for malnutrition was also calculated. Nutritional risk and/or malnutrition varied greatly, ranging from 47.2 to 97.6%, depending on the nutritionalscreeningtool used. MUST was the most valid screeningtool (validity coefficient = 0.766, CI 95%: 0.690-0.841), while SGA was in better agreement with the combined index (κ = 0.707, p = 0.000). NRS 2002 although was the highest in sensitivity (99.4%), it was the lowest in specificity (6.1%) and positive predictive value (68.2%). MUST seem to be the most valid in the evaluation of the risk for malnutrition in the elderly upon admission to the hospital. NRS 2002 was found to overestimate nutritional risk in the elderly. Copyright © 2011 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.

  • Novel simple and practical nutritionalscreeningtool for cancer inpatients: a pilot study.

    PubMed

    Zekri, Jamal; Morganti, Julie; Rizvi, Azhar; Sadiq, Bakr Bin; Kerr, Ian; Aslam, Mohamed

    2014-05-01

    There is lack of consensus on how nutritionalscreening and intervention should be provided to cancer patients. Nutritionalscreening and support of cancer patients are not well established in the Middle East. We report our systematic and practical experience led by a qualified specialist dietician in a cancer inpatient setting, using a novel nutritionalscreeningtool. Ninety-seven consecutive inpatients underwent nutritionalscreening and categorised into three nutritional risk groups based on oral intake, gastrointestinal symptoms, body mass index (BMI) and weight loss. Nutritional support was introduced accordingly. Statistical tests used included ANOVA, Bonferroni post hoc, chi-square and log rank tests. Median age was 48 (19-87)years. Patients were categorised into three nutritional risk groups: 55 % low, 37 % intermediate and 8 % high. Nutritional intervention was introduced for 36 % of these patients. Individually, weight, BMI, oral intake, serum albumin on admission and weight loss significantly affected nutritional risk and nutritional intervention (all significant P values). Eighty-seven, 60 and 55 % of patients admitted for chemotherapy, febrile neutropenia and other reasons, respectively, did not require specific nutritional intervention. There was a statistically significant relationship between nutritional risk and nutritional intervention (P=0.005). Significantly more patients were alive at 3 months in low (91 %) than intermediate (75 %) than high (37 %)-risk groups. About a third of cancer inpatients require nutritional intervention. The adopted nutritional risk assessment tool is simple and practical. The validity of this tool is supported by its significant relation with known individual nutritional risk factors. This should be confirmed in larger prospective study and comparing this new tool with other established ones.

  • Evaluation of nutritionalscreeningtools for patients scheduled for cardiac surgery.

    PubMed

    Lomivorotov, Vladimir V; Efremov, Sergey M; Boboshko, Vladimir A; Nikolaev, Dmitry A; Vedernikov, Pavel E; Lomivorotov, Vladimir N; Karaskov, Alexander M

    2013-02-01

    The aim of this Four Dimension GeoTools 22.01 Free Download with Crack was to assess the prognostic value of different nutritionalscreeningtools in patients undergoing cardiopulmonary bypass with regard to an adverse clinical course. This prospective cohort study analyzed 894 adult patients who underwent cardiopulmonary bypass. Patients were screened using four nutritionalscreeningtools: Nutritional Risk Screening 2002 (NRS-2002), the Malnutrition Universal ScreeningTool (MUST), the Mini-Nutritional Assessment (MNA), and the Short Nutritional Assessment Questionnaire (SNAQ). Nutritional status was assessed using the Subjective Global Assessment. In-hospital mortality, postoperative complications, length of stay in the intensive care unit, and length of hospitalization were analyzed. The sensitivities of the SNAQ, MUST, and NRS-2002 to detect the malnutrition confirmed by the Subjective Global Assessment were 91.5%, 97.9%, and 38.3%, respectively, and the MNA showed a sensitivity of 81.8% for the elderly. Malnutrition detected by the SNAQ, MUST, and NRS-2002 was associated with postoperative complications (odds ratios [ORs] 1.75, 1.98, and 1.82, respectively) and a stay in the intensive care unit longer than 2 d (ORs 1.46, 1.56, and 2.8). Malnutrition as detected by the SNAQ and MUST was also associated with prolonged hospitalization (ORs 1.49 and 1.59). According to multivariate logistic regression analysis, postoperative complications were independently predicted by the European System for Cardiac Operative Risk Evaluation (OR 1.1, P < 0.0001), cardiopulmonary bypass time (OR 1.01, P < 0.0001), and malnutrition identified by the MUST (OR 1.2, P = 0.01). The MUST independently predicts postoperative complications. The SNAQ and MUST have comparable accuracy in detecting malnutrition. Whether preoperative nutritional therapy would improve the outcome in malnourished patients needs to be studied. Copyright © 2013 Elsevier Inc. All rights reserved.

  • Evaluation of nutritionalscreeningtools among patients scheduled for heart valve surgery.

    PubMed

    Lomivorotov, Vladimir V; Efremov, Sergey M; Boboshko, Vladimir A; Nikolaev, Dmitry A; Vedernikov, Pavel E; Shilova, Anna N; Lomivorotov, Vladimir N; Karaskov, Alexander M

    2013-03-01

    The study aim was to detect the most sensitive nutritionalscreeningtool and to assess its prognostic value with regards to an adverse clinical course in patients with heart valve disease undergoing cardiopulmonary bypass (CPB). This prospective cohort study included 441 adult patients who were screened using four nutritionalscreeningtools: Nutritional Risk Screening 2002 (NRS-2002); Malnutrition Universal ScreeningTool (MUST); Mini Nutritional Assessment (MNA); and Short Nutritional Assessment Questionnaire (SNAQ). Nutritional assessment was performed using a Subjective Global Assessment (SGA). In-hospital mortality, postoperative complications, and duration of hospital stay were each analyzed. With regards to the detection of malnutrition, the sensitivities of MUST, SNAQ, MNA and NRS-2002 were 100%, 92%, 84.6% and 43.6%, respectively. Malnutrition identified by MUST and MNA were associated with postoperative complications (OR 1.63, p = 0.033 and OR 1.6, p = 0.035) and prolonged hospitalization (OR 1.57, p = 0.048 and OR 1.7, p = 0.02). According to multivariate logistic regression analysis, along with well-known age and duration of CPB, malnutrition identified by MUST and MNA was associated with a risk of development of complications (OR 1.6, p = 0.049 and OR 1.6, p = 0.04, respectively). The sensitivities of SNAQ, MUST, NRS-2002 and MNA with regards to postoperative complications were 26.8%, 28.8%, 10%, and 31.6%, respectively. The MUST tool is preferable with regards to the detection of malnutrition. Both, MUST and MNA independently predicted postoperative complications. SNAQ and NRS-2002 proved insensitive with regards to the postoperative course among patients with heart valve disease who were scheduled for cardiothoracic surgery.

  • Evaluation of the nutritionscreeningtool for childhood cancer (SCAN).

    PubMed

    Murphy, Alexia J; White, Melinda; Viani, Karina; Mosby, Terezie T

    2016-02-01

    Malnutrition is a serious concern for children with cancer and nutritionscreening may offer a simple alternative to nutrition assessment for identifying children with cancer who are at risk of malnutrition. The present paper aimed to evaluate the nutritionscreeningtool for childhood cancer (SCAN). SCAN was developed after an extensive review of currently available tools and published screening recommendation, consideration of pediatric oncology nutrition guidelines, piloting questions, and consulting with members of International Pediatric Oncology Nutrition Group. In Study 1, the accuracy and validity of SCAN against pediatric subjective global nutrition assessment (pediatric SGNA) was determined. In Study 2, subjects were classified as 'at risk of malnutrition' and 'not at risk of malnutrition' according to SCAN and measures of height, weight, body mass index (BMI) and body composition were compared between the groups. The validation of SCAN against pediatric SGNA showed SCAN had 'excellent' accuracy (0.90, 95% CI 0.78-1.00; p < 0.001), 100% sensitivity, 39% specificity, 56% positive predictive value and 100% negative predictive value. When subjects in Study 2 were classified into 'at risk of malnutrition' and 'not at risk of malnutrition' according to SCAN, the 'at risk of malnutrition' group had significantly lower values for weight Z score (p = 0.001), BMI Z score (p = 0.001) and fat mass index (FMI) (p = 0.04), than the 'not at risk of malnutrition' group. This study shows that SCAN is a simple, quick and valid tool which can be used to identify children with cancer who are at risk of malnutrition. Copyright © 2015 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.

  • Is the presence of a validated malnutrition screeningtool associated with better nutritional care in hospitalized patients?

    PubMed

    Eglseer, Doris; Halfens, Ruud J G; Lohrmann, Christa

    2017-05-01

    The aims of this study were to evaluate the association between the use of clinical guidelines and the use of validated screeningtools, evaluate the nutritionalscreening policy in hospitals, and examine the association between the use of validated screeningtools and the prevalence of malnutrition and nutritional interventions in hospitalized patients. This was a cross-sectional, multicenter study. Data were collected using a standardized questionnaire on three levels: institution (presence of a guideline for malnutrition), department (use of a validated screeningtool), and patient (e.g., malnutrition prevalence). In all, 53 hospitals with 5255 patients participated. About 45% of the hospitals indicated that they have guidelines for malnutrition. Kmspico password - Activators Patch the departments surveyed, 38.6% used validated screeningtools as part of a standard procedure. The nutritional status of 74.5% of the patients was screened during admission, mostly on the basis of clinical observation and patient weight. A validated screeningtool was used for 21.2% of the patients. Significant differences between wards with and without validated screeningtools were found with regard to malnutrition prevalence (P = 0.002) and the following interventions: referral to a dietitian (P < 0.001), provision of energy-enriched snacks (P = 0.038), adjustment of consistency (food/drinks; P = 0.004), monitoring of the nutritional intake (P = 0.001), and adjustment of the meal ambiance (P < 0.001). Nutritionalscreening with validated tools in hospitalized patients remains poor. Generally, the nutritional status of patients is screened with unreliable parameters such as clinical observation and body mass index. The results of the present study suggest that the use of validated malnutrition screeningtools is associated with better nutritional care and lower malnutrition prevalence rates in hospitalized patients. Copyright © 2017 Elsevier Inc. All rights reserved.

  • Источник: https://www.science.gov/topicpages/n/nutritional+screening+tools.html

    Autodesk Vault Pro Server / Client 2020 x64

    Autodesk Vault is a tool for managing data in CAD software. The program integrates with other inverter engineering software , AutoCAD Mechanical, AutoCAD Electrical, Revit , Civil 3D , and helps the design team monitor progress and manage different versions of the project in team environments. This program allows team members to reuse redesigned designs and avoid reworking and reinventing the wheel from scratch. Users can program data such as CAD DWG and DWF files Aynvntvr Parts designed in AutoCAD and save their search. Even program users are able to save and search for non-CAD files such as Word documents , Excel sheets and other file types.

    This software is based on the SQL database and stores all the collected information in a central database. One of the good features of this program is the registration of different versions of files. Each member of the team or you make changes to the file. Autodesk Vault stores all these changes in a database. It is all recorded on what date and by whom the change was made to the file. You can search all versions and use them when needed. To record changes, each user must check-out after completing their work pdfcreator mac - Crack Key For U save the current version of the file in the database. This program is a comprehensive solution for storing data among Autodesk products and it has done well.

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    • Integration with Autodesk software
    • Tools for using existing designs
    • Registration and control of copies
    • Automatic naming of files
    • Ability to save non-CAD files such as Word and Excel
    • Generate rich reports
    • Security of files and folders
    • Search, view and print information
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    In the Readme file in the Crack folder.

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    Autodesk Vault Pro Client BullGuard Antivirus 21.0.389.2 Crack +Activation Code Free Latest {2021} x64

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    Источник: https://tech-story.net/autodesk-vault-pro-server-client-2020-x64/

    DesignSense GeoTools 22.01


    DesignSense GeoTools 22.01
    File size: 25 MB

    GeoTools is an add-on program for AutoCAD and BricsCAD which provides you with a number of useful productivity tools that are designed exclusively for the geographic data user. It is a heterogenous collection of CAD tools that are useful for users in the mapping, surveying, GIS, facilities planning, real estate and infrastructure management industry.


    GeoTools is a time-saver productivity tools built for geo-data using CAD users who want to work smart and not hard. In the AutoCAD version of GeoTools, there are a large number of AutoCAD Map tools as well that making working with object data a breeze.
    GeoTools functions are arranged in easily categorized pull-down menus, toolbars and also as tabbed ribbons in AutoCAD 2012 and later versions. Some of the borad category of tools you will find in GeoTools are Polyline, Annotation, Drawing Cleanup, Digitizing, AutoCAD Map, Inquiry and so on.

    GeoTools aims to deliver more Power and Productivity and fill the gaps in many common AutoCAD commands and operations, exclusively for the geographic data user.

    Features and amenities GeoTools:
    -Easy to install and convenient application
    -Added option GeoTools automatically by CAD software in your computer
    -Tools included in this set of toolbars and drop-down menus are available CAD software
    -Increase speed and efficiency in your work with complex CAD software
    -Benefit from very useful functions and tools ready
    -Benefit from Advanced Tools Polyline Tools
    -Benefit from Enhanced Conversion Tools
    -Benefit from the advanced tools Export
    -Benefit from advanced tool Draw
    -Benefit from the advanced tools Build
    -Benefit from Advanced Annotation Tools
    -Benefit from advanced tool Blocks
    -Benefit from Enhanced Text tool

    System Requirements:
    OS:Windows 8.1/10
    Autodesk AutoCAD 2012-2022

    Whats New:
    Updates: official site does not provide any info about changes in this version.

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    DesignSenseGeoTools

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    Four Dimension GeoTools 22.01 Free Download with Crack -

    Four Dimension Technologies CADPower 21.00

    Description

    CADPower is one of the Four Dimension Technologies software. The software in front of you is an add-on for AutoCAD and BricsCAD software. This software helps you to use CAD suite software more easily. CADPower is a very comprehensive set of tools for CAD software that is also very popular.

    With the toolkit in CADPower, you can add more power to CAD software. This will make the efficiency of your operations with better power and speed. On the other hand, the tools in this set will dramatically increase your speed of action and you will be able to get things done in the shortest possible time.

    By installing this software, an option called CADPower is added to the toolbar or CAD software Task Bar. With this option you will be able to access various tools Draw, Attributes, Blocks and.. This will allow you to use the tools in this collection.

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    Easy and convenient software installation

    Automatically add the CADPower option to your CAD software

    Increase the speed and efficiency of your work

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    Benefit from advanced Polyline Tools

    Use Conversion Tools

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    System requirements

    Operating Systems

    Windows 10

    Windows 8/8.1

    Windows 7 SP1 or later

    Windows Vista

    Installation

    Read the Readme.txt file in the Crack folder

    Images

    Four Dimension Technologies CADPower 21.00
    Источник: https://wannacrack.com/software/engineering-specialized/four-dimension-technologies-cadpower-21-00

    Autodesk Vault Pro Server / Client 2020 x64

    Autodesk Vault is a tool for managing data in CAD software. The program integrates with other inverter engineering software , AutoCAD Mechanical, AutoCAD Electrical, Revit , Civil 3D , and helps the design team monitor progress and manage different versions of the project in team environments. This program allows team members to reuse redesigned designs and avoid reworking and reinventing the wheel from scratch. Users can program data such as CAD DWG and DWF files Aynvntvr Parts designed in AutoCAD and save their search. Even program users are able to save and search for non-CAD files such as Word documents , Excel sheets and other file types.

    This software is based on the SQL database and stores all the collected information in a central database. One of the good features of this program is the registration of different versions of files. Each member of the team or you make changes to the file. Autodesk Vault stores all these changes in a database. It is all recorded on what date and by whom the change was made to the file. You can search all versions and use them when needed. To record changes, each user must check-out after completing their work to save the current version of the file in the database. This program is a comprehensive solution for storing data among Autodesk products and it has done well.

    Features of Autodesk Vault software:

    • Efficient management of all files and copies
    • Very fast search
    • Integration with Autodesk software
    • Tools for using existing designs
    • Registration and control of copies
    • Automatic naming of files
    • Ability to save non-CAD files such as Word and Excel
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    • Security of files and folders
    • Search, view and print information
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    Installation guide

    In the Readme file in the Crack folder.

    download link

    Autodesk Vault Pro Client 2020 x64

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    Autodesk Vault Pro Server 2020 x64

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    Источник: https://tech-story.net/autodesk-vault-pro-server-client-2020-x64/
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    TI_28335_flashtool TI_CCS3_SR11 Electronics.Packaging.Designer.v7.2.31 Viscom.Audio.Capture.ActiveX.Control.v1.4.WinALL.Retail Viscom.Data.Burner.ActiveX.Control.v2.0.WinALL.Retail Viscom.Image.Viewer.CP.Pro.ActiveX.Control.v1.3.WinALL.Retail Viscom.VideoCap.Live.ActiveX.Control.v1.5.WinALL.Retail TimingDesigner.v8.002 Intel.C.Plus.Plus.Compiler.v9.1.049.Linux Intel.Fortran.Compiler.v9.0.045.Linux Intel.VTune.Performance.Analyzer.v9.0.009 TimeDesign Professional 5.0 Advanced.Engineering.Mathematics.with.Maple.v12 Maplesoft.Maple.v12.0.Linux.x64.x32 Maple.Toolbox.for.Matlab.v12.01 Mathworks.Matlab.R2008a for windows/unix SPSS.Clementine.v12 Minitab.Quality.Companion.v3.1 NCSS.with.GESS.2007.v7.1.14 UTS.TK.Solver.v5.00.140 Design.Science.MathType.v6.5b SYSTAT.v12.02.x64 OriginLab.OriginPro.v8.0.SR4.Multilanguage TRANSDAT.v12.05.Bilingual VSNI.GenStat.v11.1.0.1575 WOLFRAM.RESEARCH.MATHEMATICA.V7.0 NCSS.with.GESS.2007.v7.1.10 Hytran v3.1.2 Design.Science.MathType.v6.5 COMSOL.Multiphysics.v3.5 AC.DC.Module.for.Comsol.Multiphysics.v3.5 Acoustics.Module.for.Comsol.Multiphysics.v3.5 CAD.Import.Module.for.Comsol.Multiphysics.v3.5.LINUX.x64 Optimization.Lab.for.Comsol.Multiphysics.v3.5 SAS.JMP.Statistical.Discovery.v7.0.1.Multilingual SciFace.MuPAD.Pro.v4.0.0 SPSS.Statistics.v17.Multilingual STATSOFT.STATISTICA.ENTERPRISE.V8.0 limcon 3.54 Design.Science.MathType.v6.5a Harmonic.O-Matrix.Light.v6.4 NCSS.with.GESS.2007.v7.1.10 WaveMetrics.IGOR.Pro.v6.0.3.1 NCSS.PASS.2008.v8.0.7 NCSS.with.GESS.2007.v7.1.11 IMSL.C.Numerical.Library.v6.0 FlexPDE.Professional.3D.v5.0.22.Linux.x64

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    NeuroDimension.TradingSolutions.v3.1.050602 IGOR Pro 6.02 MATFOR.v4.10.080716.in.Absoft.Fortran.x64 MATFOR.v4.10.080716.in.Intel.Fortran.x64 MATFOR.v4.00.061031.in.C.Plus.Plus MATFOR.v4.00.061031.in.Lahey.Fortran MATFOR.v4.00.061031.in.NET MATFOR.v4.00.061031.in.Visual.Fortran Intel.C.Plus.Plus.Compiler.v9.1.045.Linux Intel.Visual.Fortran.Compiler.v9.1.040.Linux Intel.Cluster.Toolkit.v3.0.Linux Intel.VTune.Performance.Analyzer.v8.0.2.608.Linux NeuroDimension.NeuroSolutions.v5.04.Developer.Edition POLYMATH 5.1 TGS.Avizo.v5.0.1.x64.MACOSX TGS.Avizo.v5.0.XPand.Utilities.MACOSX TGS.Open.Inventor.v7.1.C.Plus.Plus.for.VS2k3.VS2k5.VS2k8.x64 TGS.Open.Inventor.v7.1.for.Java.1.5 TGS.Open.Inventor.v7.1.for.Sun.Studio.11.SOLARIS.x64 TGS.Open.Inventor.v7.1.GCC.3.2.3.LINUX.EM64T.RPM.ITANIUM.RPM TGS.Open.Inventor.v7.1.GCC.3.4.3.LINUX.EM64T.RPM TGS.Open.Inventor.v7.1.GCC.4.1.1.LINUX.EM64T.RPM TGS.Open.Inventor.v7.1.IRIX.x64 TGS.Open.Inventor.v7.1.NET.for.VS2k5.VS2k8.x64 TGS Amira v4.1.x64 TGS Amira v4.1 LINUX EM64T TGS Amira v4.1 For Linux ITANIUM TGS Open Inventor v6.0 AIX TGS Open Inventor v6.0 C for VC NET2k5 TGS Open Inventor v6.0 C for VC NET2k5 x64 TGS Open Inventor v6.0 for GCC 3.4.3 LINUX EM64T TGS Open Inventor v6.0 for GCC 3.2.3 LINUX TGS Open Inventor v6.0 for GCC 3.2.3 LINUX ITANIUM TGS Open Inventor v6.0 for GCC 4.0.0 LINUX TGS Open Inventor v6.0 for Sun Studio 8 SOLARIS TGS.Open.Inventor.v6.0.for.Sun.Studio.8.SOLARIS64 TGS.Open.Inventor.v6.0.for.VC.NET2k3 TGS.Open.Inventor.v6.0.for.VC.NET2k5 TGS.Open.Inventor.v6.0.for.VC.NET2k5.x64 TGS.Open.Inventor.v6.0.for.VC6

    TGS.Open.Inventor.v6.0.for.Workshop.6.SOLARIS TGS.Open.Inventor.v6.0.for.Workshop.6.SOLARIS64 TGS.Open.Inventor.v6.0.IRIX64 Versata Logic Suite v5.6.4 OriginLab.OriginPro.v8.0.SR2.MULTiLANGUAGE FlexPde.Professional.3D.v4.2.4 NeuroDimension.TradingSolutions.v3.0.040919 Lindo.Systems.Lingo.v9.0 PVCS.7.5 Systat.SigmaPlot.v11.0 SYSTAT.SigmaStat.v3.11.WinAll SYSTAT.Systat.v11.00.01 TotalVIEW.v6.5.0-0 NeuroSolutions.v4.32.Developers.Edition NeuroDimension.TradingSolutions.v3.0.040916 Stata 10 Maplesoft.Maple.v11.0.for Win2000/XP/Vista Maple.Toolbox.for.Matlab.v11.02.for.Maple Paula.SG.v1.1.0.6. AcaStat.v4.5.5 NeuroIntelligence.v2.3.526 Mathematica 6.0 NCSS PASS GESS Statistical And Data Analysis v2007.08.26 Insightful S-PLUS v8.0 Mathematics.Worksheet.Factory.Deluxe.v3.0.0164 LINDO.Systems.Lingo.v8.0 UTS. TK_Solver_5.01 HydeSoft.Computing.DPlot.v2.1.5 O-Matrix.v6.0 Crystal.Impact.Diamond.v3.1c

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    NI.LabVIEW.Adaptive.Filter.Toolkit.v1.0 NI.LabVIEW.Database.Connectivity.Toolkit.v1.0.2 NI.LabVIEW.Internet.Toolkit.v6.0.2 NI.LabVIEW.Report.Generation.Toolkit.for.Microsoft.Office.v1.1.3 NI.LabVIEW.SignalExpress.v3.0 NI.LabVIEW.Simulation.Interface.Toolkit.v5.0 NI.LabVIEW.System.Identification.Toolkit.v4.0 NI.LabVIEW.v8.5.1.Touch.Panel.Module NI.LabVIEW.v8.6 NI.LabVIEW.v8.6.Advanced.Signal.Processing.Toolkit NI.LabVIEW.v8.6.Digital.Filter.Design.Toolkit NI.LabVIEW.v8.6.DSP.Module NI.LabVIEW.v8.6.FPGA.Module NI.LabVIEW.v8.6.Microprocessor.SDK NI.LabVIEW.v8.6.Mobile.Module NI.LabVIEW.v8.6.PID.Control.Toolkit NI.LabVIEW.v8.6.Real.Time.Module NI.LabVIEW.v8.6.Statechart.Module NI.LabVIEW.v8.6.Touch.Panel.Module NI.LabVIEW.VI.Analyzer.Toolkit.v1.1.1 NI.Motion.Assistant.v2.3 NI.Real.Time.Execution.Trace.Toolkit.v2.0.1 NI.Switch.Executive.v3.0 NI.Vision.v8.6.Run.Time.Engine NI.Vision.v8.6.Acquisition.Software NI.Vision.v8.6.Development.Module HALCON V8.0.1 NI.Circuit.Design.Suite.Pro.v10.1 NI.LabVIEW.v8.5.1.Embedded.Module.for.ARM.Microcontrollers.v1.0 NI.LabVIEW.v8.5.1.PDA.Module NI.LabVIEW.v8.5.1.Touch.Panel.Module NI.LabWindows.CVI.FDS.v8.5.1 NI.SignalExpress.v2.5.Tektronix.Edition NI.Sound.and.Vibration.Toolkit.v6.0 NI.Switch.Executive.v3.0 NI.TestStand.v4.1 NI LabVIEW Simulation Interface Toolkit v4.0 NI.LabVIEW.v8.5.1.Touch.Panel.Module NI.Analog.Waveform.Editor.v1.2.1 NI.DAQmx.v8.7.1 NI.LabVIEW.Signal.Express.v2.5.1 NI.LabVIEW.Statechart.Module.v1.0.1 NI.LabVIEW.System.Identification.Toolkit.v3.0.1 NI.LabVIEW.v8.5.1 NI.LabVIEW.v8.5.1.DSC.Module NI.LabVIEW.v8.5.1.Real.Time.Module NI.LabWindows.CVI.v8.5 NI.OPC.Servers.v1.0 NI.Sound.and.Vibration.Measurement.Suite.v6.0 NI.TestStand.v4.0.1 NATIONAL.INSTRUMENTS.LABVIEW.BASICS.I.AND.II.CBT.TRAINING NI.DAQmx.v8.6.1 NI.Vision.v8.5.1.Acquisition DASYLab.v10.00.01

    NI NI NI NI NI NI NI NI NI

    Vision Builder AI Motion 7.6 DAQmx 8.6 LabVIEW SignalExpress v2.5 Vision v8.5 Acquisition Vision 8.5 Development Module LookOut 6.1 Circuit Design Suite 10.0.1 Pro SoftMotion Controller 2.1

    NI NI NI NI NI NI NI NI NI NI NI

    Real-Time Execution Trace Toolkit 2.0 LabVIEW v8.5 DSC Module Run Time System LabVIEW v8.5 PDA Modul LabVIEW Internet Toolkit v6.0.1 LabVIEW Embedded Development Module v2.5 LabVIEW 8.5 Real-Time Module LabVIEW 8.5 FPGA Module LabVIEW 8.5 DSC Module LabVIEW 8.5 Touch Panel Module Motion Assistant 2.2 Multisim Analog Devices Edition v10.0.1

    NI.LabVIEW.v8.2.1.DSC.Module NI.LabVIEW.v8.2.1.DSC.Module.Run.Time.System NI.LabVIEW.v8.2.1.PDA.Module NI.LabVIEW.System.Identification.Toolkit.v3.0.1 NI-Calibration.Executive.v3.2 NI-DASYLab.v9.02 NI-Motion.v7.5 NI-Sound.and.Vibration.Measurement.Suite.v5.0 NI-Vision v8.2.3 Acquisition Software LabVIEW Control Design Toolkit v2.1.2 LabVIEW v8.2.1 Real Time Module DASYLab.v9.0.2 LabView 8.2.1 with Embedded Support LabVIEW SignalExpress v2.0 NI Circuit Design Suite 10.0 Pro NI LabWindows/CVI FDS 8.1 NI.Calibration.Executive.v3.2 4CD NI.LabVIEW.Control.Design.Toolkit.v2.1.2 NI.LabVIEW.v8.2.1.Real.Time.Module NI.Motion.v7.5 NI.Sound.and.Vibration.Measurement.Suite.v5.0 NI.vision.v8.2.3.Acquisition.Software NI-DAQmx.v8.5.0 NI-DIAdem.InSight.v2.09 Multilanguge NI-Vision v8.2.1 Development Module NI-Vision.Builder.AI.v3.0.1 NI.LabView.Professional.v8.2.1 NI-Circuit.Design.Suite.v10.0.Power.Pro NI-Vision v8.2.2 Acquisition Software LabView Embedded Module for ADI Blackfin v2.0 LabView with Embedded Support.v8.2.1 LabWindows.CVI.FDS.v8.1 LabVIEW v8.2.1 Embedded Development Module NI-ECU.Measurement.And.Calibration.Toolkit.v2.01 LabVIEW v8.2 Digital Filter Design Toolkit

    LabVIEW v8.2 PID Control Toolkit LabVIEW v8.2 Digital Filter Design Toolkit LabVIEW v8.2 PID Control Toolkit NI.LabVIEW.v8.2.DSC.Module NI.LabVIEW.v8.2.DSC.Module.Run.Time.System NI.LabVIEW.Embedded.Development.Module.v2.0 NI.LabVIEW.v8.2.Simulation.Module NI.Vision.v8.2.Development.Module NI.Motion.v7.3 NI.Motion.Assistant.v2.0 NI.Vision.v8.2.Acquisition.Software NI-DAQmx.v8.3 LabVIEW v8.2 Real Time Module DASYLab.v9.0.1 NI.DAQmx.v8.3.1 NI.LabVIEW.v8.2.Touch.Panel.Module NI.LabVIEW.Simulation.Interface.Toolkit.v3.0.2 NI.Motion.v7.4 NI.Requirements.Gateway.v1.0 NI.SoftMotion.Controller.v2.0 NI.SignalExpress.v1.2.0001.Tektronix.Edition NI.Vision.Builder.AI.v3.0 NI.Vision.v8.2.1.Acquisition.Software LabVIEW v9.1 DSC Module NI.DIAdem.v10.2.1 FPGA Module for Lattice v5.1 LabVIEW Sound and Vibration Toolkit v4.0 LabVIEW Simulation Module.v2.0 LabVIEW Simulation Interface Toolkit for LabVIEW.8 v3.0.1 LabVIEW Simulation Interface Toolkit for LabVIEW.7.1 v3.0.1 LabVIEW Report Generation Toolkit v1.1.1 NI-Modulation.Toolkit.for.LabVIEW.v3.1 NI-Motion.v9.1.3 NI-DIAdem.v10.0.2637 LabVIEW Real Time Module v8.0.1 NI-DAQmx.V8.01 NI LabVIEW Control Design Toolkit 2.1 NI.Calibration.Executive.v3.0.1 NI.Vision.v8.0.Acquisition.Software NI.LabVIEW.v8.0.DSC.Module

    NI.Motion.v7.2.1 NI.SignalExpress.v1.2.Tektronix.Edition DADiSP.v6.0E.datecode.20040723 Datapage.Rt.Datasuite.v3.32 NI.LabVIEW.v8.0.Real.Time.Module LabVIEW v8.0 FPGA Module NI-Digital WaveForm Editor v2.0 NI.LabWindows.CVI.v8.0.1 NI-LookOut.v6.02 NI-Vision v8.0 Development Module NI-DIAdem.v10.0 NI-Switch.Executive.v2.1 NI.ECU.MEASUREMENT.AND.CALIBRATION.TOOLKIT.V1.01 NI.TestStand.v3.5 NI-VI.Logger.v2.0.1 NI-VISA.V3.4.1 NI.ECU.MEASUREMENT.AND.CALIBRATION.TOOLKIT.V1.01 NI-IMAQ.FOR.IEEE.1394.V2.0.1 National.Instruments.Measurement.Studio.Enterprise.Edition.v7.1 NI.DSP.MODULE.V1.0 NI.LABVIEW.EMBEDDED.EDITION.V7.1.1 NI.DSP.MODULE.V1.0.FOR.NI.LABVIEW.EMBEDDED.EDITION.V7.1.1 NI.IMAQ.V2.0.1.FOR.NI.VISION.BUILDER.V2.6.1 NI.VISION.BUILDER.FOR.AUTOMATED.INSPECTION.V2.6.1 NI-Motion.Assistant.V1.3 NI-Vision Development Module V7.11 Labview EmBedded Edition 7.1.1 NI-LookOut.v6.0 NI-DIAdem.InSight.v2.09 NI-Matrixx.v7.1 NI-Switch.Executive.v2.0 NI-Motion.Assistant.V1.2.1

    NI-Analog.WaveForm.Editor.V1.1 National Instruments: LabVIEW v7.1 Professional Development System LabVIEW v7.1 Real-Time Module v1.2 LabVIEW Control Design Toolkit v2.0 Labview Datalogging and Supervisory Control Module v7.1 LabVIEW System Identification Toolkit v2.0 LabWindows/CVI v7.0 For Win NI-Motion.Assistant.V1.2 NI-Vision Builder For Automated Inspectuon V2.5 Measurement Studio Enterprise Edition v7.1 National Instruments Vision v7.1 Development Module For LabVIEW 7 LabVIEW V7.0.Express.Pro.Development.for.Linux LabVIEW Real-Time V6.1 for LabVIEW LabVIEW Real-Time V7.0 LabVIEW Application Builder v6.1 LabVIEW DIAdem Interface Toolkit 2.0 LabVIEW DSC.Module.v6.0.2 LabVIEW Simulation Module v1.0 LabVIEW Datalogging and Supervry Control Module 6.1 LabVIEW Report Generation Toolkit For Microsoft Office v1.0.1 LabVIEW Sound and Vibration Toolset 2.0 IMAQ Vision V7.1 for LabView 7.1 Native.Instruments.Pro_53.v3.00.013 NI-Spectral.Measurments.Toolkit.v2.1 NI-488.2.V2.3 NI-SignalExpress.v1.1.1 NI-VISA.V3.4 IMAQ.FOR.IEEE.1394.V2.0.1 NI-Vision Assistant v7.1.1 IMAQ.v3.1 NI.VISION.DEVELOPMENT.MODULE.V7.1.1 NI.VISION.ASSISTANT.V7.1.1 NI-488.2.V2.01

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    Native.Instruments.KORE.Line.Reaktor.Animated.Circuits.MAC.OSX.UB Native.Instruments.KORE.Line.Reaktor.Animated.Circuits Native.Instruments.KORE.Line.Reaktor.Spark Avid.Xpress.Pro.v5.6.2 Pinnacle.Studio.Plus.v11.0 SOFTIMAGE_ALIENBRAIN_V8.1 Fusion v5.1.100 Final Fusion RenderSlave v5.1.100 Final Avid.Xpress.Pro.HD.v5.4 Avid.MetaSync.v21.6 APPLE.MOTION.MAC.OSX.DVD Tascam.GigaStudio.v3.03.0.164 Avid.Xpress.Pro.v4.6 Avid.Newscutter.XP.v5.3 Autodesk EDIT 6.5 AVID.SOFTIMAGE.3D.V4.0 AVID.TOONZ.LINETEST.V3.0 AVID.TOONZ.V4.6 AViD_Xpress_DV_v3.5 AVID_Metasync_v20.0 AVID_XPRESS_PRO_V4.0 CAS_ANIMO_V4.1 VICON.ANIMATION.SUITE.V2.0 Tascam.GigaStudio160 CREA COMPO 2.0 PatternMagic Japanese APS-ETHOS.V6.0 PGM10 OPTITEX 2006 Stoll M1 V3.14.009 Easylast 3D 2.5 shoemaster 6.02 shoemaster 7.01 shoemaster 3.04 Forma 4.55 Crispin Engineer 3D Crispin Engineer 2D USM 2D V1.10 USM 3D V1.04 PROCAM DIMENSIONS M2 Romans.CAD.Software.2D.v7.0 Romans.CAD.Software.3D.v7.0

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    Shoemaker 4.10 Lectra_MODARIS_V5R1c2 Lectra_DesignConcept3D_V3R1 Melco.Embroidery.Network.System.v2.0 LECTRA_CATALOG_V2.1c5_MULTILANGUAGE Lectra_PRIMAVISION_V6R1c7_MULTILANGUAGE Lectra.Catalog.v2.1c5 Lectra_PRIMAVISION_V6R1c7_MULTILANGUAGE Lectra_Leather_V3R1_Multilingual LECTRA_U4IA_GRAPHICS_V7R1C10_ISO LECTRA_KALEDO_STYLE_V1R1C11_MULTILINGUAL Lectra Kaledo Style V1R1c11 Multilingual LECTRA_DIAMINO_FASHION_V5R2_MULTILINGUAL Lectra Kaledo ColorManagement V1R1c3 Lectra Kaledo Style V1R1c9 Multilingual Lectra U4IA GRAPHIC v7R1C9 Lectra.CataLOG.with.Viewer.and.Draper.v2.1C1 Lectra.Color.Target.Measurer.v1R1C2 Lectra.Kaledo.Color.Developer.v1R1C3 Lectra.U4IA.Colorist.v7R1C9 KNITWARE_Basics_Design_v2.50.1 KNITWARE_Skirts_And_Shawls_Design_v2.50.1 KNITWARE_Sweaters_Design_v2.50.1 PE.Design.v6 GGT PDS2000 7.71 Lectra 5.1(Modaris V4.1\DIAMINO4.1\GraphicSpec) Padcad 4.11(Pattern\Automarker\3D Sample\Plot) AGMS CAD LaVeic CAD wilcom 8.0 TEXPIA 7.X Tajima DGML by Pulse9.1

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    E-Tools.E-Studio.Pro.v4.42.029a Quest3D.Enterprise.Edition.v2.1-ISO Act3d_Quest3D_v2.5a_Enterprise_Edition Opticore.Opus.Studio.v4.1 Opticore.Opus.Realizer.v1.5 VMAP 5.21 2CD VTree.SDK.Pro.v4.0.2 CADSoft.Envisionneer.v1.0 eVision v6.0 E-SIM.RapidPLUS.v7.21 MAK.Software.Suite.v3.2 MAK Data Logger v3.7.2 MAK Gateway v3.5 MAK PVD v2.2 MAK RTI v2.0 MAK Stealth v4.2 MAK VR-Forces v3.2 MAK VR-Link v3.7.3 MAK RTI v2.1 CADSoft.Envisionneer.v1.0 NavisWorks.v3.1 NavisWorks.Jetstream.Multilanguage.v4.WinALL Realsoft 3D v4.5 eVision v6.0 Remo.3D.v1.0 Remograph.Remo.3D.v1.0 CyberMotion.3D RoboGuide v2.3.1 Virtools DEV v3.5 Poser.v7.0 Facial Studio v1.51

    Strata 3D CX v5.5 Modbox Pro v1.0.7 Cinema 4D v10.5 Update Shade v8.5.1 Professional Avid NewsCutter XP v6.7.5 Autodesk.MAX.2008 Autodesk.3DSMAX.V9.00 Avid.Xpress.Pro.v5.6.2 Carrara.Pro.v5.1 Carrara.Pro.v5.1.MacOS.X Carrara.Studio.v3.0.3 Carrera.3D.Basic.v2.1 Acrobat.Professional.v8.0 Autodesk 3D Studio Max v8.0 Sidefx Houdini Master v8.0.383 Final Sidefx Houdini Master v8.0.383 linux GCC3 Final LightWave.3D.v8.5 World Maps v6.0D Pinnacle.Studio.v10.0 Pixar.RenderMan.for.Maya6.0.v1.0 Pixar.RenderMan.for.Maya6.5.v1.0 Pixar.RenderMan.for.Maya7.0 VRay.Advanced.v1.47.03 for.3dsmax.v7 NextLimit.RealFlow.v3.1.18.FedoraCore2.Linux.Incl.Keygen NextLimit.RealFlow.v3.1.18.Incl.Keygen NextLimit.RealFlow.v3.1.18.MacOSX.Incl.Keygen NextLimit.RealFlow.v3.1.18.RedHat.SuSE.Linux.Incl.Keygen NEXT_LiMiT_MAXWELL_RENDER_v1.0_RC2_iNTERNAL NavisWorks.Jetstream.Multilanguage.v4 MAXON.CHARACTER.DEVELOPMENT.FOR.C4DR9.AND.MOCCA2 AVID_XPRESS_DV_v4.6.1_ISO Eovia.Hexagon.v2.0 EYEON_FUSiON_v5.01 EYEON_FUSiON_RENDER_SLAVE_v5.01 Hash.Animation.Master.2005.v11.1H AVID.ALIENBRAIN.STUDIO.V7.1.1 Tascam.GigaStudio.v3.10.0.2270 Right_Hemisphere_Deep_Paint_3D_v2.1.1.4 Right_Hemisphere_Deep_Paint_v2.0 Right_Hemisphere_Deep_UV_v1.2.0.7 Alias Wavefront Maya 7.0 for windows/MAC.OSX/Linux Hash.Animation.Master.2005.v11.1D Vuescan Professional v8.1.33

    Newteck.Lightewave 8.0 Discreet.3DS.Max.v7.0 3CD Shade_v7.2.1_Professional Messiah Studio v2.0B Hash.Animation.Master.2004.v11.0A FinalRender Stage-1 Cabinet Vision Solid v3.5 VICON IQ v1.5 DISCREET 3DSMAX V6.0 MAXON CINEMA V8 Final SIDE FX HOUDINI V6.0 ALIAS WAVEFRONT MAYA UNLIMITED V5.0 ISO Syflex Cloth Simulator For Maya 4.5 Curious Labs Poser 5.0 USAnimation v5.3 SP1 LightWave.3D.v8.0 Avid Softimage XSI v2.03 DI-Guy 5 MAXON Bodypaint 3D r2 v8.206 RETAIL Cinema.4D.R9.Studio.Bandle x86 Cinema.4D.R10.Studio.Bandle.MAC.OSX ALIAS WAVEFRONT PORTFOLIOWALL V1.6 KAYDARA MOTION BUILDER PRO V5 Eovia Carrara Studio v3 Virtools Dev 2.5 FaceGen Modeller v3.0 Caligari trueSpace v6.5 QUEST3D ENTERPRISE EDITION V2.0B KAYDARA MOCAP V4.0 Famous3D.Proface.Complete.v2.5-ISO WorldBuilder.Pro.v3.55

    FormZ Radiozity 5.0 FormZ RenderZone 3.0.31 Adobe Acrobat Pro v7.0 Adobe GoLive CS v7.0.0135 Adobe InDesign CS v3.0 Adobe Illustrator CS v11.0 Adobe PhotoShop v8.0-ISO Adobe Photoshop Plugins Enhanced Full Adobe Premiere Pro v7.0-ISO Adobe Version Cue v1.0 Animatek World Builder 3.0 3CD DynaSCAPE.Professional.v3.02-iSO Mountain.3D.v3.0 AutoFX Photo Graphic Edges v5.0 Blitz.3d.v1.66 Beacon Designer v2.05 CAMbridge animation systems animo 6.0 CANOPUS.Edius.v1.0 DreamRender v2.14 Discreet Combustion v2 FINAL Engineers.Desktop.Software.v1.0 Hash.Animation.Master.2003.v10.5O Informatix.Piranesi.v3.0-ISO Image Pro Plus v4.5-ISO MultiAd.Creator.v6.5.6.Professional Pinnacle.Studio.v8-ISO 2CD Pinnacle.Studio.v8.1-ISO CyberMotion.3D-Designer.v10.01 Xpression.Primer.v3.0 Curious.Labs.Poser.v6.0.MAC.OSX Eovia_Amapi_Designer_v7.1

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    MAYA MAYA MAYA MAYA MAYA MAYA MAYA MAYA MAYA MAYA MAYA MAYA MAYA MAYA MAYA MAYA MAYA MAYA

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    Dosch.Textures.Human.Eyes Dosch.Textures.Floor.Pro Dosch.Textures.Construction.Materials Dosch.Textures.Character.Designer DOSCH Textures Broadcast-Design Dosch.Textures.Animal.&.Creature.Eye Dosch.Dosch.Reflection.Maps Dosch.3D.Background.Stages Datacraft Datacraft Datacraft Datacraft Datacraft Datacraft Marlin MARLIN MARLIN MARLIN Marlin MARLIN MARLIN MARLIN MARLIN MARLIN MARLIN MARLIN MARLIN MARLIN MARLIN MARLIN MARLIN

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    AB rslogix5000 v16(rslogix5k V16) AB RSNetWorx for ControlNET V8.0 ROCKWELL AB CONTROLFLASH FIRMWARE V2.5~10.5 Rockwell AB PanelBuilder32 v3.82 ROCKWELL Profibus SST ROCKWELL RSLinx v2.5 ROCKWELL RSLogix 5000 Firmware V4.0 Redundancy ROCKWELL RSNetWorx for ControlNET V6.0/7.0/8.0 ROCKWELL RSNetWorx for DeviceNET V5.0/6.0/8.0 ROCKWELL RSNetWorx for EtherNet/IP V5.0/6.0 ROCKWELL RSView32 Extensions ROCKWELL RSView32 V7.5 ROCKWELL SoftLogix 5800 V15.0 ROCKWELL Ultraware V1.63 RSLgix 5000 Emulation V13.0/V15.0/V16.0 RSLinx V2.53 RSLogix 5 V6.0 RSLogix 500 V7.0 RSLogix 5000 V16.0 RSTune PRO V9.06 RSView Machine Edition(ME£©V4.0 RSView Supervusory Edition(SE)V4.0 RSView Talkview ME V5.0 RSView Talkview SE V5.0 Schneider MonitorPRo7.2 Schneider PL7 pro V4.4 Schneider Twidosoft 3.5 Schneider Vijeo-Designer V4.3/V4.4 Schneider XBT L1000 V4.3 SYSMAC OPC Sever V2.2 TOP Opc Sever Toolbox XLreporter7.0 ABB AC31GRAF (ABB AC31 PLC) ABB CoDeSys V2.3 (ABB AC500 PLC) ABB Welding Software VirtualArc Unity.Pro 3.0.5 Siemens.Simatic.PDM.v6.0.SP4 Siemens.SIMATIC.S7.GRAPH.v5.3.SP6 Siemens.SIMATIC.S7.PLCSIM.v5.4.SP2 Siemens.SIMATIC.S7.SCL.v5.3.SP5 Siemens.Simatic.WinCC.Connectivity.Pack.v7.0 Siemens.Simatic.WinCC.DataMonitor.v7.0 Siemens.Simatic.WinCC.v7.0 Siemens.Simatic.WinCC.Web.Navigator.v7.0 Siemens.Simocode.ES.2007.Premium.with.SP1 Simocode.ES.Premium.v2007.SP1 Siemens.SIMATIC.S7.SCL.v5.3.SP4.Multilanguage-TBE Simatic.Step7.Professional.Edition.2006.SR5.MULTiLANGUAGE Simatic.WinCC.Flexible.2008 Simatic.WinCC.Flexible.2007 Simatic.WinCC.Flexible.2005

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    Flovent 6.0 FLOMERICS.FLOTHERM.V4.2 FLOMERICS_FLOPCB_V2.1 Thermal Desktop V4.4.5 with FloCAD.and.RadCAD CRTECH_THERMAL_DESKTOP_V4.7 CRTECH_SINAPSPLUS_V4.7 SINDA-FLUINT.v4.7 SINDA-Fluint.v4.4.BUILT-IN.COMPILER SINDA-Fluint.v4.4.for.COMPAQ.FORTRAN SINDA-Fluint.v4.4.for.WATCOM.FORTRAN RadTherm v7.01 WinTherm v7.01 Thermoflow 16 CRTECH_SINAPSPLUS_V4.8 CRTECH_THERMAL_DESKTOP_V4.8 THERMAL DESKTOP 2004 Thermo-Calc 2003p for WiN32 Thermo-Calc 2003p for Linux Thermo-Calc 2003p for SGI Thermo-Calc 2003p for Solaris PETREL 2008.1 Ecrin V4.10.3 Merak2007.1 Surpac V6.0.3 Geosoft Oasis.Montaj.v7.0.1 Geosoft Target.for.ArcGIS.v3.0.1 Geosoft Target.v7.0.1 IPM.Petroleum.Expert.v6.3 (CTRes1.2,GAP7.3,MBAL9.3,Prosper10.3,PVTP8.3,RESOLVE3. 2,REVEAL3.3) IVS.3D.Fledermaus.Pro.v6.7.0h.421.x64 Datamine Studio V3.0 3D GeoModeller 1.0

    Modelvision Pro 8 Vulcan v7.0 ROXAR.IRAP.RMS.V9.0.5 CMG_SUITE_V2008 SCHLUMBERGER.IP(Interactive.Petrophysics) 3.5 SCHLUMBERGER.IP(Interactive.Petrophysics) 3.4.1.8 SCHLUMBERGER.PETREL2008.1 Schlumberger ECLipse 2008.1 for Windows.Solaris Schlumberger FracCADE 5.01 for Windows Schlumberger GeoFrame 4.3 for Linux.Solaris

    Schlumberger OFM 2007.1 for Windows.Solaris Schlumberger Petrel 2005/2007 for Windows Schlumberger PipeSim 2008 for Windows Schlumberger SandCADE 5 for Windows Schlumberger StimCADE 3.1 for Windows Schlumberger_WELLTEST_6.2 Schlumberger CemCade v4.4 Schlumberger ECLipse 2007.2 for Windows.Solaris

    Hampson.Russell.CE.v8.R3 Hampson.Russell.CE.v8.R3.LINUX Hampson.Russell.CE.v8.R3.SOLARIS Hampson.Russell.CE.v8.R3.x64 Visual.MODFlow v4.0 EPS EPS EPS EPS

    FRS 2 for Windows Image 2 for Windows Pansystem 3.4 for Windows reservior 4 for Windows

    Fugro-Jason Fugro-Jason Fugro-Jason Fugro-Jason KAPPA KAPPA KAPPA KAPPA KAPPA KAPPA

    8.0 for Linux 7.2 for .Solaris FastTracker 2005b for Windows LCT 2001.5 for Solaris

    Diamant 1.1 for Windows Ecrin 4.10 for Windows Emeraude 2.5 for Windows Saphir 3.20.04 for Windows Topaze 1 for Windows Ecrin 4.02.06 for Windows

    Discovery 5000 LandMark DSS 2008 (Dynamic Surveillance System) LandMark Landmark Landmark Landmark Landmark Landmark Landmark Landmark Larson Larson Larson Larson

    2003.4 for Windows.Linux.Solaris Compass 2003.16 for Windows desicion Space 2003.15 for Windows Discovery 2007.2 for Windows DSS(Dynamic Surveillance System) 2003.12 for Windows GeoProbe 3.3 for Linux ProMax 2003 for Linux.Solaris VIP 2003 for Windows.Linux.Solaris

    CGM Import Filter 8.4.2 for windows CGM LiveEdit 9.4.2 for Windows CGM Studio 9.2.0 build 4 for windows WebView CGM Pro 8.5.3 for windows

    Midland Valley 2DMove 4 for Windows Midland Valley 3DMove 4 for Windows.Linux Midland Valley 3DStress 2 for Windows Pinnacle.FracproPT.2007.v10.4.52 for Windows Pinnacle StimPlan 5.4 for Windows Pinnacle StimPT 2007 for Windows Paradigm Gocad 2.52 for Windows Paradigm Gocad 2.15 for Windows Paradigm EPOS 3 TE(Third Edition) for Linux.Solaris Paradigm Paradigm Paradigm Paradigm Paradigm Paradigm Paradigm Paradigm Paradigm Paradigm Paradigm Paradigm Paradigm Paradigm

    Explorer 7.2 for Linux.Solaris Focus 5.4 for Linux.Solaris GeoDepth 8.2 for Linux.Solaris Geolog 6.6.1 for Windows GeoSec 3D 3.2 for Linux.Solaris iMap 1.2 for Linux.Solaris Probe 5.2 for Linux.Solaris Reservoir Navigator 2.2 for Linux.Solaris SeisEarth 1.2 for Linux.Solaris SolidGeo 3.2 for Linux.Solaris StratiMagic 3.2 for Linux.Solaris Sysdrill IDEAS 2.4 for Windows Vanguard 4.2 for Linux.Solaris VoxelGeo 3.1 for Windows

    IPM.Petroleum.Expert.v6.3 PGI PGI PGI PGI

    P_EOR 2 for Windows ROD Pumping Suite 2.41.2 for Windows Sandpro 4.2 for Windows WellComp 4.1 for Windows

    SDI CGM Editor 2.00.50 for windows SDI CGM Office 2.00.50 for windows

    SDI Convert 7.9.0 for windows SDI Dgn 1.12.8 SDI for windows ideas simulation v4.5.5

    IHS.PERFORM IHS.SubPUMP IHS.Pipesoft IHS.OilWat/GasWat IHS.GasLIFT IHS.VolOil/VolGas IHS.PVTLIB IHS.RAPTOR Seismic Micro-Technology SMT 8.2 for Windows Seismic Micro-Technology SMT 8.1 for Solaris Thunderhead.Engineering.PetraSim.v4.2.1118 Thunderhead.Engineering.PyroSim.v2008.2.1113.x32/x64 Ark Field 5.1 for Solaris Basin2 Fluid Modling 5 for Windows BXPro (Builder Xcessory) 6.13 for Solaris CEMPRO 3.2.1 for Windows CEMVIEW 2.0.0 for Windows CGG 3110 for Linux.Solaris CMG_SUITE_V2007.10 for Windows CMG 2005 for Windows.Linux.Solaris CycloLog 3.0 for Windows Direct 2 for Windows EarthVision 5.1 for Solaris EarthWave 1.1 for Windows FAPS 5.2 for Solaris FaultX for Windows Fraca 4.1 for Windows.Linux.Solaris GAEA WinFence 2.17 for windows GAEA.Winlog.v4.46 Geocap 4.1.5 for Windows.Solaris GeoCT-I for Windows GeoFence for windows Geooffice 1.5 GeoModeling VisualVoxat 5.0 2 GeoModeling VisualVoxat 6 for Linux.Solaris Geoscope 2 for Windows Geotools GravModeler 1.3 for Solaris Geotools MT 7.3 for Solaris Golden MapViewer 5 for Windows Gopher 2007 for Windows GPTLog for Windows.Linux.Solaris GPTMap for Windows.Linux.Solaris GPTModel 2 for Windows GRANDfor Linux

    GreenMountain MESA Expert v10.04/V11.01 GXII 4.01 for Windows

    HRS(Hampson Russell) Strara CE V7 R2.1 for Windows.Linux.Solaris INT Widget Library 3.2 for Solaris ISATIS 4.1.1 for Windows ISIS 2 for Windows.Linux.Solaris IVS.3D.Fledermaus.Pro.v6.7.0c.271 Jurassic Geomap 3.5 for windows JustCGM 4.2 for Windows LESA 6 for Windows LogIC 1.85g for Windows NDSLog 2005 for windows

    Odwis 2 for Windows Scandpower.Petroleum.Technology.OLGA.v5.21 Scandpower.Petroleum.Technology.OLGA.v5.3 Omega 1.8.2 for Linux.Solaris Omni Workshop 4 for Windows OpendTect 3.1.6 for Windows OpenSprit 2.8 for Windows.Solaris PC-Pump 2.65 for Windows PEOffice 5.1 for Windows Petra 1.18 GeoPlus for Windows Petrolog 10.4.2 for Windows PowerLog 2.61a for Windows PRA BasinMod 2005 for Windows

    Proni 1 for Windows Petrosim.v3.0 CALSEP.PVTSIM.V17.3C QUE$TOR 9.1 for Windows RC2 2000 for Solaris RC2V1.0 Build75 for Windows Recon for linux 2.3.6 Recon for Sun 2.3.5 RES2DINV 3.55.32 for Windows.Solaris Resassist 2007 Resbalance 2003 for Windows RMS(Reservoir Modeling System) 9.07 for Windows Rokdoc 5 for Windows RRS 2 for Windows F.A.S.T. F.A.S.T. F.A.S.T. F.A.S.T. F.A.S.T.

    CBM v3.2.0.117 FieldNotes v3.2.1.5 Piper v6.0.0.81 RTA v4.0.2.5 ValiData v7.1.1.5

    F.A.S.T CBM V2.626

    Dynamic Surveillance System v2006.1.03.2205

    DrillWorks