A nomogram to predict sarcopenia in middle-aged and older women: a nationally representative survey in China by Jiayi Yang, Zihao Chen, Xinxin Dai, Liyao Jiang, Liyan Dai, Yu Zhao

“…In addition, this study integrated these sarcopenia-related variables into a comprehensive index, and ROC analysis results showed that the AUC of the composite index was 0.738.ConclusionsThis study found that sarcopenia in Chinese women may be closely related to age, waist, education, marriage, area, stroke, physical pain, depression, and region. …”
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Removal of chromium from synthetic wastewater by electrocoagulation and using natural coagulant (blend of hen eggshell powder with lime): optimization of response surface methodolo... by Werkne Sorsa Muleta, Firomsa Bidira Abdi, Endrias Adane Bekele

“…In this work, the removal of Cr from synthetic wastewater by electrocoagulation supported by natural coagulant (eggshell powder) with aluminum electrodes was investigated. The central composite design of the response surface methodology was employed to estimate and optimize process variables, such as initial Cr concentration (225–475 mg/L), solution pH (5–9), and current density (0.35–045 A/m2), and treatment time (30–40 min) with an electrode distance (ED) of 0.5 and 1 cm, respectively. 99.90% and 99.74% of removal efficiencies were observed at initial Cr concentration of 456.11 mg/L, a solution pH of 5.45, with current density of 0.47 A/m2, and treatment time of 36.84 min. …”
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Lipidomic risk scores are independent of polygenic risk scores and can predict incidence of diabetes and cardiovascular disease in a large population cohort. by Chris Lauber, Mathias J Gerl, Christian Klose, Filip Ottosson, Olle Melander, Kai Simons

“…Risk stratification was further improved by adding standard clinical variables to the model, resulting in a case rate of 51.0% and 53.3% in the highest risk group for T2D and CVD, respectively. …”
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Heterogeneity of Biofilm Formation Among <i>Staphylococcus aureus</i> and Coagulase-Negative <i>Staphylococcus</i> Species in Clinically Relevant Intravenous Fat Emulsions by Gustavo R. Alvira-Arill, Oscar R. Herrera, Jeremy S. Stultz, Brian M. Peters

“…<b>Conclusions</b>: These results suggest that biofilm formation in <i>S. aureus</i> is variably impacted by fatty acid composition in clinically relevant IFEs, with capric acid exhibiting bactericidal activity against tested isolates.…”
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Stock Price Pattern Prediction Based on Complex Network and Machine Learning by Hongduo Cao, Tiantian Lin, Ying Li, Hanyu Zhang

“…Next, the topology characteristic variables for each combination symbolic pattern are used as the input variables for K-nearest neighbors (KNN) and support vector machine (SVM) algorithms to predict the next-day volatility patterns of a single stock. …”
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Data driven design of ultra high performance concrete prospects and application by Bryan K. Aylas-Paredes, Taihao Han, Advaith Neithalath, Jie Huang, Ashutosh Goel, Aditya Kumar, Narayanan Neithalath

“…By excluding insignificant variables, the models enhance both efficiency and accuracy in predicting strength. …”
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AI-Driven predicting and optimizing lignocellulosic sisal fiber-reinforced lightweight foamed concrete: A machine learning and metaheuristic approach for sustainable construction by Mohamed Sahraoui, Aissa Laouissi, Yacine Karmi, Abderazek Hammoudi, Mostefa Hani, Yazid Chetbani, Ahmed Belaadi, Ibrahim M.H. Alshaikh, Djamel Ghernaout

“…Statistical validation demonstrated the model's stability and reliability, evidenced by a notably low standard deviation (SD = 2.15 × 10⁻⁵), indicating minimal variability in predictions. …”
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Pilot project to study the association of troponin I with cardiovascular events in the population of Russian region by S. A. Shalnova, O. M. Drapkina, A. V. Kontsevaya, E. B. Yarovaya, V. A. Kutsenko, V. A. Metelskaya, A. V. Kapustina, Yu. A. Balanova, O. A. Litinskaya, M. S. Pokrovskaya

“…For categorical variables, the NRIcategorial was used. Both methods of including cTnI in the model significantly improve the risk classification of severe endpoints in men.Conclusion. …”
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Microstructural, Mechanical and Fresh-State Performance of BOF Steel Slag in Alkali-Activated Binders: Experimental Characterization and Parametric Mix Design Method by Lucas B. R. Araújo, Daniel L. L. Targino, Lucas F. A. L. Babadopulos, Heloina N. Costa, Antonio E. B. Cabral, Juceline B. S. Bastos

“…Statistical analyses, ANOVA and the Duncan test, validated the model and identified interactions between variables. …”
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Primed to vocalize: Wild-derived male house mice increase vocalization rate and diversity after a previous encounter with a female. by Sarah M Zala, Doris Nicolakis, Maria Adelaide Marconi, Anton Noll, Thomas Ruf, Peter Balazs, Dustin J Penn

“…Timepoint models showed that USV length increased 1 day after priming, that repertoire diversity increased 1 and 20 days after priming, and that the variability of USV frequencies was lower 20 and 30 days after priming. …”
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Rapid Discrimination for Traditional Complex Herbal Medicines from Different Parts, Collection Time, and Origins Using High-Performance Liquid Chromatography and Near-Infrared Spec... by Haiyan Fu, Yao Fan, Xu Zhang, Hanyue Lan, Tianming Yang, Mei Shao, Sihan Li

“…By comparing component analysis (PCA), linear discriminant analysis (LDA), and particularly partial least squares discriminant analysis (PLSDA) with different fingerprint preprocessing of NIR spectra variables, PLSDA model showed perfect functions on the analysis of samples as well as chromatograms. …”
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Predicting present and future habitats using LiDAR to integrate research and monitoring with landscape analyses by David A. MacLean, Thomas Baglole, Maurane Bourgouin, Billie Chiasson, Jiban C. Deb, Maitane Erdozain, Remus J. James, Lauren Negrazis, Louka Tousignant, Phil Wiebe, Greg Adams, Joseph R. Bennett, Erik J.S. Emilson, Nicole J. Fenton, Graham J. Forbes, Michelle A. Gray, Karen A. Kidd, Andrew McCartney, Gaetan Moreau, Kevin B. Porter, Osvaldo Valeria, Lisa A. Venier

“…LiDAR-based enhanced forest inventory provided forest structure variables that improved bird habitat models and spatial predictions of bird habitat, metrics explaining bryophyte composition and richness, and variability in beetle abundance and richness. …”
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Functional and internalizing disorders co-aggregate with cardiometabolic and immune-related diseases within families: a population-based cohort study by Olivier D. Steen, Martje Bos, Sonja L. van Ockenburg, Yiling Zhou, Ilja M. Nolte, Harold Snieder, Kenneth Kendler, Judith G. M. Rosmalen, Hanna M. van Loo

“…We used logistic regression to model the prevalence of these disorders in the general population and in participants with affected relatives. …”
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Surface Defect Detection for Small Samples of Particleboard Based on Improved Proximal Policy Optimization by Haifei Xia, Haiyan Zhou, Mingao Zhang, Qingyi Zhang, Chenlong Fan, Yutu Yang, Shuang Xi, Ying Liu

“…The method integrates the variable action space and the composite reward function and achieves the balanced optimization of different types of defect detection performance by adjusting the scaling and translation amplitude of the detection region. …”
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Agro-industrial Residues: Low-cost Biomass for the Production of Bioactive Extracellular Polysaccharides by Lactobacillus plantarum in Solid State Fermentation by Hissah Abdulrahman Alodaini, Rajamony Rajam Sheeja, Joseph Joselin, Ashraf Atef Hatamleh, Munirah Abdullah Al-Dosary, Sundaramani Alci Rani, Ponnuswamy Vijayaraghavan, Selvaraj Arokiyaraj

“…Compared with the unoptimized medium, the response surface methodology improved EPS production twofold during solid-state fermentation. In the central composite design, the experimental model was significant (p<0.01), and the selected variables (moisture, sucrose and yeast extract) significantly influenced EPS production. …”
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Accuracy and precision of diets fed to close-up cows on dairy farms and its association with early lactation performance by L.S. Gheller, C.A. Wagemann-Fluxá, T.J. DeVries

“…The same cows were also monitored for milk yield up to 120 DIM. Multivariable models were used to analyze associations between variability (in relation to the formulated diet and across time) of nutrients in the close-up diet, as measured by CV, and outcomes in fresh cows. …”
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Multi-Objective Optimization of Steel Slag–Ceramsite Foam Concrete via Integrated Orthogonal Experimentation and Multivariate Analytics: A Synergistic Approach Combining Range–Vari... by Alipujiang Jierula, Haodong Li, Tae-Min Oh, Xiaolong Li, Jin Wu, Shiyi Zhao, Yang Chen

“…Employing a three-factor, three-level orthogonal experimental design at a fixed density of 800 kg/m³, 12 mix proportions (including a control group) were investigated with the variables of water-to-cement (W/C) ratio, steel slag replacement ratio, and ceramsite replacement ratio. …”
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Advances in Forensic Entomotoxicology for Decomposed Corpses: A Review by Sen Hou, Zengjia Liu, Jiali Su, Zeyu Yang, Zhongjiang Wang, Xinyi Yao, Zhou Lyu, Yang Xia, Shuguang Zhang, Wen Cui, Yequan Wang, Lipin Ren

“…Significant interspecies and dose-dependent variability also exists in the absorption, metabolism, and physiological responses to xenobiotics. …”
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Exploring individual differences in fear extinction in male and female mice: insights from HPA axis, microbiota, and transcriptomics by Marc Ten-Blanco, María Ponce-Renilla, Inmaculada Pereda-Pérez, Cristina Izquierdo-Luengo, Carlo Bressa, Olga Zafra, Rosa María Tolón, Fernando Berrendero

“…This model allowed us to stratify the mice population into two extreme phenotypic subgroups (resilient and susceptible), based on their individual fear extinction behavior. …”
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Machine learning-assisted Ru-N bond regulation for ammonia synthesis by Zichuang Li, Mingxin Zhang, Xiaozhi Su, Yangfan Lu, Jiang Li, Qing Zhang, Wenqian Li, Kailong Qian, Xiaojun Lu, Bo Dai, Hideo Hosono, Yanpeng Qi, Miao Xu, Renzhong Tai, Jie-Sheng Chen, Tian-Nan Ye

“…Abstract Ruthenium-bearing intermetallics (Ru-IMCs) featured with well-defined structures and variable compositions offer new opportunities to develop ammonia synthesis catalysts under mild conditions. …”
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