Neutrophil-to-lymphocyte ratio as a novel predictor of sarcopenia in maintenance hemodialysis patients: a cross-sectional study exploring associations across body composition categ... by Yogesh M., Parth Anilbhai Parmar, Soumya Sharma, Jay Pareshbhai Kakadiya, Dhruv Lakkad

“…Logistic regression models examined associations between NLR and sarcopenia risk, adjusting for potential confounders. …”
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Impact of adverse environmental conditions on the fatigue behavior of carbon epoxy adhesive joints under mode II fracture by Paula Vigón, Jaime Viña, Miguel Lozano, Antonio Argüelles

“…Fatigue initiation data were analysed using a probabilistic Weibull distribution model. Key findings reveal that environmental degradation significantly reduces the fatigue resistance of the adhesive joints. …”
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Size and Composition of Caregiver Networks Who Manage Medications for Persons Living With Dementia: Cross-Sectional Analysis of the 2011-2022 National Health and Aging Trends Study by Reed WR Bratches, Frank Puga, Paul J Barr, Amanda N Leggett, Meredith Masel, James Nicholas Odom, Rita Jablonski

“…Spouses were most likely to manage medications across all racial and ethnic groups. In regression modeling, female gender (predicted probability [PP] 15%, 95% CI 13%-17%; PPP ConclusionsThe size and composition of caregiver networks that manage medications for persons living with dementia differ by race and ethnicity but typically includes at least 2 people, one of whom has a college degree. …”
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Composition of peripheral blood immune cell compartment in stage 5 chronic kidney disease is affected by smoking and other risk factors associated with systemic inflammatory respon... by Ivan Zahradka, Filip Tichanek, Lucia Majercikova, Jana Duskova, Mathias Streitz, Stephan Schlickeiser, Stephan Schlickeiser, Klara Osickova, Vojtech Petr, Petra Hruba, Petra Reinke, Ondrej Viklicky, Ondrej Viklicky

“…The impact of selected clinical factors on immune cell composition was initially evaluated using a robust multivariate method (PERMANOVA). …”
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Fecal microbiota transplantation alleviates cognitive impairment by improving gut microbiome composition and barrier function in male rats of traumatic brain injury following gas e... by Xinwen Dong, Yaguang Su, Zheng Luo, Cuiying Li, Jie Gao, Xiaofeng Han, Sanqiao Yao, Weidong Wu, Linqiang Tian, Yichun Bai, Guizhi Wang, Wenjie Ren

“…BackgroundDysbiosis of gut microbiota (GM) is intricately linked with cognitive impairment and the incidence of traumatic brain injury (TBI) in both animal models and human subjects. However, there is limited understanding of the impact and mechanisms of fecal microbiota transplantation (FMT) on brain and gut barrier function in the treatment of TBI induced by gas explosion (GE).MethodsWe have employed FMT technology to establish models of gut microbiota dysbiosis in male rats, and subsequently conducted non-targeted metabolomics and microbiota diversity analysis to explore the bacteria with potential functional roles.ResultsHematoxylin–eosin and transmission electron microscopy revealed that GE induced significant pathological damage and inflammation responses, as well as varying degrees of mitochondrial impairment in neuronal cells in the brains of rats, which was associated with cognitive decline. …”
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Chemical composition, antimicrobial, and antioxidant properties of essential oils from Artemisia herba-alba asso. and Artemisia huguetii caball. from Morocco: in vitro and in silic... by Mohamed El Ouardi, Mohamed El Ouardi, Aziz Drioiche, Aziz Drioiche, Fadoua El Makhoukhi, Fadoua El Makhoukhi, Jamal Mabrouki, Mohammed Hakmi, Omkulthom Al kamaly, Bshra A. Alsfouk, Brahim Eddamsyry, Hamid Khamar, Touriya Zair, Mohammed Alaoui El Belghiti

“…This study aims to thoroughly examine the chemical composition of essential oils derived from Artemisia species and assess their antibacterial and antioxidant properties through in vitro experiments and in silico simulations.MethodsSamples of Artemisia herba-alba Asso. were collected from Boulemane and Ifrane in Morocco, while Artemisia huguetii Caball. was sampled from Tata, representing regions of the Central Middle Atlas and Western Anti-Atlas. …”
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Metagenomics reveals unique gut mycobiome biomarkers in major depressive disorder - a non-invasive method by Xuan Wang, Di Cao, Wei Chen, Jiaxin Sun, Huimin Hu

“…Subsequently, we constructed a machine learning model using support vector machine-recursive feature elimination to search for potential fungal markers for MDD.ResultsOur findings indicated that the composition and beta diversity of intestinal fungal communities were significantly changed in MDD compared to the healthy controls. …”
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Dual Roles of HbA1c Variability and Body Composition for Cardiovascular Risk: A Cohort Study of 8224 Adults With Type 2 Diabetes Mellitus by Sunyoung Kim, Jiyoung Hwang, Dong Keon Yon, Hyunji Sang, Selin Woo, Ho Geol Woo, Hyunjung Lim, Jungha Park, Fei‐Yuan Hsiao, Liang‐Kung Chen, Sang Youl Rhee

“…We investigated the association among HbA1c variability, body composition parameters and cardiovascular outcomes in adults with T2DM. …”
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Numerical Simulation of Pervious Concrete Based on Random Pore Model by Jingsong Shan, Jinle He, Feng Li

“…In the simulation model, the aggregate and cement paste have been simplified into a composite material, and the method of determining the composite modulus of aggregate-cement paste is discussed. …”
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Fractal Modeling of Pore Structure and Ionic Diffusivity for Cement Paste by Yun Gao, Jin-yang Jiang, Kai Wu

“…Moreover, an enhanced Maxwell homogenization method that incorporates the solid mass fractal model is proposed to determine the associated ionic diffusivity. …”
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Prediction of Vapor-Liquid Equilibria Using CEOS /GE Models

“…The results of comparisons between applied models and experimental data are presented. These indicate that although all suggested models could provide reasonably good VLE information for the systems containing components of similar size in a wide range of temperatures and pressures, but only PSRK method shows minimum absolute and relative errors for both vapor and liquid compositions in asymmetric systems.…”
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Model Predictive Control to Autonomously Approach a Failed Spacecraft by Xun Wang, Zhaokui Wang, Yulin Zhang

“…In this study, a model predictive control (MPC) method is developed for a servicer spacecraft autonomously approaching a tumbling failed spacecraft at an ultraclose range. …”
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Electromechanical Coupling Model for Ionic Liquid Gel Soft Actuators by Chenghong Zhang, Chengguang Zhang, Guangping Tian, Xun Gu

“…Based on the system transfer function method, a mechatronic coupling model for the soft actuator was developed. …”
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Design of a Morphing Aircraft Based on Model Predictive Control by Wei Ren, Yingjie Wei, Cong Wang

“…Considering the existence of composite disturbances during the morphing process, a robust model predictive control (RMPC) strategy is proposed, using set containment as the performance index. …”
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Enhancing fracture risk indication: The impact of bone load index and muscle fat infiltration on vertebral compression fracture by Xiao-Yue Jiang, Zhi-Yang Tang, Bo-Wen Liu, Si-Yuan Lu, Dong-Gang Pan, Hui Jiang, Xiu-Hong Shan

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A source-weighted Benthic minus Planktonic radiocarbon method for estimating pure ocean water age by Jinbo Du, Sifan Gu, Zhengyu Liu, Lingwei Li, Ning Zhao

“…It combines radiocarbon data with water mass composition evolution in an ocean model under realistic surface forcings accounting for multiple water sources, marine reservoir age, and the evolving atmospheric $${14\atop}C$$ 14 C content. …”
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Research on the generation and annotation method of thin section images of tight oil reservoir based on deep learning by Tao Liu, Zongbao Liu, Kejia Zhang, Chunsheng Li, Yan Zhang, Zihao Mu, Mengning Mu, Mengting Xu, Yue Zhang, Xue Li

“…However, the difficulty of making cast thin sections, the complexity of the making process and the high cost of thin section annotation have led to a lack of cast thin section images, which cannot meet the training requirements of deep learning image recognition models. In order to increase the sample size and improve the training effect of deep learning model, we proposed a generation and annotation method of thin section images of tight oil reservoir based on deep learning, by taking Fuyu reservoir in Sanzhao Sag as the target area. …”
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Non-Invasive and Quantitative Evaluation for Disuse Muscle Atrophy Caused by Immobilization After Limb Fracture Based on Surface Electromyography Analysis by Lvgang Shi, Yuyin Hong, Shun Zhang, Hao Jin, Shengming Wang, Gang Feng

“…In this paper, we explore how to evaluate disuse muscle atrophy based on surface electromyography; Methods: Firstly, we conducted rat experiments using hind-limb suspension to create a model of disuse muscle atrophy. …”
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EXPLORING THE IMPACT OF RESIDUAL COMPRESSIVE STRESS ON TENSILE PROPERTIES OF MULTILAYER COATINGS BASED ON INVERSE ANALYSIS METHOD by CHEN Jinhu, JIA Yunfei, MA Tianyu, ZHANG Yong, ZHANG Yu, YANG Jun

“…The dimensionless function correlation between mechanical properties of material with multilayer coatings and the loading/unloading parameters of nanoindentation was derived based on dimension analysis theory, and its explicit expression was determined in conjunction with the finite element simulation method. By establishing a nanoindentation simulation model for the multilayer coating, the impact of residual compressive stress on the tensile properties of the multilayer coating was analyzed. …”
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ResNest-SVM-based method for identifying single-phase ground faults in active distribution networks by Qingwen Lian, Xiang Luo, Dong Lin, Caihua Lin, Bingxi Chen, Ziyi Guo

“…The results show that under different fault points, transition resistances, DG access upstream and downstream of the fault point, and different fault initial phase angles, the ResNest-SVM model method can accurately identify the fault line and has better anti-noise ability than the other three network structures.…”
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