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  1. 1641
    Introducing the Jordan Labor Market Panel Survey 2016
    por Krafft Caroline, Assaad Ragui
    Publicado 2021
    Materias: “...sample weights...”
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  2. 1642
    INTERNATIONAL BANKING RISK MANAGEMENT IN GLOBALIZATION CONDITIONS
    por David I. Filippov
    Publicado 2017
    Materias: “...risk-weighted assets...”
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  3. 1643
    Condition Diagnosis of Long-Span Bridge Pile Foundations Based on the Spatial Correlation of High-Density Strain Measurement Points
    por Feng Liu, Qianen Xu, Yang Liu
    Publicado 2021
    Materias: “...geographically weighted regression...”
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  4. 1644
    Introducing the Egypt Labor Market Panel Survey 2018
    Materias: “...sample weights...”
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  5. 1645
    Pseudo-Almost Periodic and Pseudo-Almost Automorphic Solutions to Some Evolution Equations Involving Theoretical Measure Theory
    Materias: “...doubly-weighted pseudo-almost periodic...”
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  6. 1646
    Measuring national financial development: indexes and methods
    por T. Ph.T. Duong
    Publicado 2021
    Materias: “...weighted average...”
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  7. 1647
    What You Need to Know When Estimating Impact Functions with Panel Data for Demographic Research
    por Volker Ludwig, Josef Brüderl
    Publicado 2021
    Materias: “...negative weighting bias...”
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  8. 1648
    QUANTITATIVE METHODS OF FINANCIAL STABILITY DEPENDENCE ON THE COMPANY VALUE
    Materias: “...weighted average cost of capital...”
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  9. 1649
    Elevation of LncRNA ENST00000453774.1 Prevents Renal Fibrosis by Upregulating FBN1, IGF1R, and KLF7
    Materias: “...weighted gene correlation network analysis...”
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  10. 1650
    Behavior of Adsorbed Albumin Film on CoCrMo Alloy under In-situ Observation
    Materias: “...ultra-high molecular weight polyethylene...”
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  11. 1651
    Electoral Systems in the Digital Age: Underlying Challenges and New Opportunities Part I. A Review of the Problems, Classic Protocols of Collective Choice
    por M. SINYTSKYI
    Publicado 2021
    Materias: “... convolution, criterion weights, nonlinear scaling, consistency indices, verbal-quantitative scales, qualimetry...”
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  12. 1652
    Obesity & health
    Publicado 1989
    “...Healthy weight journal...”
    Available in Academic Search Premier.
    Electrónico Revista
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  13. 1653
    ObjectiveTo establish a nomogram for predicting the risk of post-hepatectomy complications (PHC) in hepatic echinococcosis by analyzing the risk factors for PHC in two types of hepatic echinococcosis, and to investigate its value in clinical practice. MethodsA retrospective analysis was performed for the clinical data of 263 patients with two types of hepatic echinococcosis who underwent hepatectomy in Qinghai University Affiliated Hospital from January 2015 to August 2020, and among these patients, 93 were enrolled as PHC group and 170 were enrolled as control group. The Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups, and the independent samples t-test was used for comparison of normally distributed continuous data between two groups; the chi-square test and the Fisher’s exact test were used for comparison of categorical data between two groups. Univariate and multivariate logistic regression analyses were used to screen out independent risk factors for PHC, and a nomogram risk prediction model was established based on the weight of each independent risk factor. The Bootstrap resampling method was used for internal verification of the model; the receiver operating characteristic (ROC) curve was plotted to evaluate the discriminatory ability of the model; calibration curve and the Hosmer-Lemeshow test were used to evaluate the consistency of the model; decision curve analysis (DCA) was performed to verify the clinical effectiveness of the model. ResultsAlbumin-bilirubin (ALBI) score (odds ratio ［OR］=3.694, 95% confidence interval ［CI］: 1.860-7336, P＜0.05), time of operation (OR=2.848, 95%CI: 1.384-5.859, P＜0.05), intraoperative blood loss (OR=4.832, 95%CI: 2.384-9.793, P＜0.05), and hydatid diameter (OR=3.073, 95%CI: 1.528-6.177, P＜0.05) were independent risk factors for PHC in two types of hepatic echinococcosis. A nomogram risk prediction model was established based on the weight of the above four independent risk factors, and the model had an area under the ROC curve of 0.877 (95%CI: 0.831-0.923). The model had a consistency index of 0.871 after internal verification using the Bootstrap resampling method, suggesting that the model had good discriminatory ability. The fitting of the observed value and the actual value of the calibration curve and the Hosmer-Lemeshow test (P=0.905) showed that the predicted value of the nomogram risk prediction model had good consistency with the actual observed value. When the threshold probability was 35.6%, DCA showed a net clinical benefit of 22%, and the model had good clinical applicability within the threshold probability ranging from 8% to 89%. ConclusionALBI score, time of operation, intraoperative blood loss, and hydatid diameter are independent risk factors for PHC in patients with two types of hepatic echinococcosis, and the nomogram risk prediction model established based on these factors has good accuracy, consistency, and clinical practicability.
    ObjectiveTo establish a nomogram for predicting the risk of post-hepatectomy complications (PHC) in hepatic echinococcosis by analyzing the risk factors for PHC in two types of hepatic echinococcosis, and to investigate its value in clinical practice. MethodsA retrospective analysis was performed for the clinical data of 263 patients with two types of hepatic echinococcosis who underwent hepatectomy in Qinghai University Affiliated Hospital from January 2015 to August 2020, and among these patients, 93 were enrolled as PHC group and 170 were enrolled as control group. The Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups, and the independent samples t-test was used for comparison of normally distributed continuous data between two groups; the chi-square test and the Fisher’s exact test were used for comparison of categorical data between two groups. Univariate and multivariate logistic regression analyses were used to screen out independent risk factors for PHC, and a nomogram risk prediction model was established based on the weight of each independent risk factor...
    por LI Hongye
    Publicado 2021
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  14. 1654
    Advanced courses of mathematical analysis VI proceedings of the sixth International School, Universidad de Ma ́laga, Ma ́laga, Spain, 8-12 September 2014 /
    Tabla de Contenidos: “...Two Weight Inequalities for Fractional Integral Operators and Commutators /...”
    Available in Academic Search Premier.
    Electrónico Procedimiento de la Conferencia eBook
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  15. 1655
    EFFECTS OF ACETYLSALICYLIC ACID ON ETHANOL-INDUCED INTRAUTERINE GROWTH RESTRICTION IN RATS
    “... by maternal ethanol consumption were studied. A single intraperitoneal dose of ethanol (2.96 g/kg body weight...”
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  16. 1656
    Morphometric Investigation of the Brainof West African Dwarf Sheep in Nigeria
    “... frozen unfixed specimen. The mean brain weight was 69.14g, while the mean brain length and depth were...”
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  17. 1657
    Carcass characteristics of farmed fallow deer bucks
    “...The average body weight of the 20-21-month-old bucks was 48,00 kg, with an average cold carcass...”
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  18. 1658
    Caloric restriction, physical exercise, and CB1 receptor blockade as an efficient combined strategy for bodyweight control and cardiometabolic status improvement in male rats
    “... cardiovascular and kidney diseases. Several strategies for weight loss have been developed but most of them...”
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  19. 1659
    Management of obesity in cats
    por Hoelmkjaer KM, Bjornvad CR
    Publicado 2014
    “... states of obesity and for monitoring success of weight-loss programs. Various methods for assessing body...”
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  20. 1660
    Comparison of Phenotypic and Genetic Performance of Local Silkworm Groups and Two Commercial Lines
    “... cocoons were individually recorded for weight, shell weight and shell ratio. From among the native groups...”
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