A Novel Transformer-Based Approach for Reliability Evaluation of Composite Systems With Renewables and Plug-in Hybrid Electric Vehicles by Chiranjeevi Yarramsetty, Tukaram Moger, Debashisha Jena, Veeranki Srinivasa Rao

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Efficient autoencoder pipeline for discovering high entropy alloys with molecular dynamics data by Amirhossein D Naghdi, Grzegorz Kaszuba, Stefanos Papanikolaou, Andrzej Jaszkiewicz, Piotr Sankowski

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Evaluating the impact of an oral nutrition supplement on biochemical profile, growth, and body composition in Indian children: an in-silico study by Sahana Sringari, Surabhi Vijaykumar, Manali Sherkane, Megha Venkatesh, Suranjana Gupta, Karan Lomore, K. V. Venkatesh, K. V. Venkatesh

“…Validated, population-level predictive platforms optimize dosing and intervention strategies, facilitating the development of targeted nutritional approaches that enhance growth outcomes in children.ObjectiveThis study aims to assess the impact of an oral nutrition supplement (ONS) intervention on biochemical and growth parameters of Indian children using an in-silico intervention approach.MethodsAn energetics-based modeling framework was developed to simulate the growth trajectories of children aged 6–16 years, integrating national datasets for Indian children. …”
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Features of the species composition based on the trophic analysis of artificial woody plantations of the Kryvyi Rih mining and industrial district by Maksym Kvitko, Olena Lykholat, Tetyana Lykholat, Mykhailo Holubiev, Yuriy Lykholat

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Optimization Design and Experimental Analysis of Resistance-Reducing Anti-Fracture Rotary Blade Based on DEM Techniques by Xiaochuan Zhao, Zhikai Ma, Jianguo Zhao, Jianchang Li, Jiale Zhao, Binhao Dai, Meilin An, Jiaping Wang, Jianjun Hao

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Composition Design and Property Prediction for AlCoCrCuFeNi High-Entropy Alloy Based on Machine Learning by Cuixia Liu, Meng Meng, Xian Luo

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Body composition analysis using CT at three aspects of the lumbar third vertebra and its impact on the diagnosis of sarcopenia by Hui Yang, Zekan Gao, Qingzheng Shen, Huaiqing Zhi, Wentao Cai, Xiang Wang, Xiaodong Chen, Xian Shen, Weiteng Zhang

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Modeling and calibration of a full-scale wastewater treatment plant using GPS-X model (A case study of Tehran) by Shabnam Sadri Moghaddam, Mohammad Reza Pirali

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Coconut: covariate-assisted composite null hypothesis testing with applications to replicability analysis of high-throughput experimental data by Yan Li, Yanmei Li, Han Ma, Zitong Yue, Xin Zhang

“…Abstract Background Multiple testing of composite null hypotheses is critical for identifying simultaneous signals across studies. …”
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Acoustic Signal-Based Deep Learning Approach and Device for Detecting Interfacial Voids in Steel–Concrete Composite Structures by Wei Tian, Hang Yuan, Xinpeng You, Hehui Zheng, Bazhou Li, Chengming Peng

“…Therefore, the experiments of void detection of the bridge tower full-scale model were carried out with the background of Zhang Jinggao Yangtze River Bridge and other composite structure bridge towers. …”
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Harnessing machine learning approach for hardness optimization of Al-Si alloy composites reinforced with coconut shell ash by M Poornesh, Shreeranga Bhat, Mithun Kanchan

“…The optimal settings were then experimentally verified to assess the model’s reliability. Findings . The optimal composition for maximizing hardness was 90 wt% Al-Si alloy and 10 wt% CSA, with a melting temperature of 800 °C and a stirring speed of 800 rpm. …”
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Effect of surface sealant on the color stability and whiteness index of single-shade resin composites after staining and bleaching by Muhammet Fidan, Özhan Yağcı

“…ObjectivesThe aim of the current study was to evaluate the effect of polishing systems and surface sealant on the color stability and whiteness index of single-shade resin composites after staining and bleaching.Materials and MethodsThree single-shade (Omnichroma, Charisma Diamond One, Zenchroma) and one multi-shade (Filtek Z250) materials were tested. …”
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COMPOSITION OF DEATH RISK ACCORDING TO BEHAVIORAL FACTORS (SMOKING, ALCOHOL CONSUMPTION) BY THE RESULTS OF 27-YEAR PROSPECTIVE STUDY by A. Yu. Ivanova, I. V. Dolgalev

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Development of a General Composite Scale (GENCOMS) for Progressive Neurodegenerative Diseases and Implications for the Assessment of Disease-Modifying Therapies by Samuel P. Dickson, Craig H. Mallinckrodt, Basia Rogula, Lauren C. Powell, Michele H. Potashman, Vladimir Coric, Gilbert J. L’Italien, Suzanne B. Hendrix

“…Methods The GENCOMS method relies on robust natural history data and/or placebo arm data from DMT trials. …”
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Test of the relationship between adolescents’ 24-h activity behavior and anxiety symptoms using compositional data analysis by Ning Wang, Ziyi Wang, Hui Liu, Yifeng Wang, Jinkun Li, Xiaobin Hong

“…This study investigated the dose‒response relationship between Chinese adolescents’ 24-h activity behavior and anxiety symptoms using compositional data analysis (CoDA). Methods The temporal distribution of 24-h activity behaviors of 176 adolescents was objectively measured by accelerometers, and anxiety symptoms were assessed by the Self-Rating Anxiety Scale (SAS). …”
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Efficient Removal of Methylene Blue from Aqueous Solution by Adsorption of Ceramic-Based Composite DBPC@HKUST-1 by FENG Yanzhao, WU Yixiong, CHEN Xinhong

“…HKUST-1 crystals with excellent properties are grown in situ on low-cost and high-stability diatomite-based porous ceramic (DBPC) by the non-uniform nucleation growth method.The successful preparation of the composite DBPC@HKUST-1 is verified by XRD,FTIR,and SEM characterization.At the same time,the adsorption performance of DBPC@HKUST-1 for methylene blue (MB) is studied,and the adsorption kinetics,adsorption isotherm,adsorption thermodynamics and the influence of pH are analyzed.The results show that the adsorption behavior is consistent with the quasi-second-order kinetic model and Freundlich isothermal model.The maximum adsorption capacity of DBPC@HKUST-1 for MB is 378.788 mg/g.The adsorption thermodynamics indicates that the adsorption behavior is a spontaneous exothermic reaction.Therefore,DBPC@HKUST-1,as a cheap green adsorbent,is expected to be the best candidate material for the treatment of organic dye wastewater in the future industry.…”
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Anatomic basis for an algorithmic approach for free fibula flap donor side selection in composite oro-mandibular defects by Mohit Sharma, Abhijeet Wakure, Krishnakumar Thankappan, Jimmy Mathew, Dayanand Jairaj, Raghuveer Reddy Dudipala, Subramania Iyer

“…The purpose of this study is to confirm anatomically the effect of bone, soft tissue and vessel orientation on the ease of doing reconstruction. Materials and Methods: This is a cadaveric study. A mandibular model with a defect was used. …”
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Association between composite dietary antioxidant index and increased urinary albumin excretion: a population-based study by Shaopeng Li, Suqiong Yang, Yong Wang, Zongqi Lin, Fuyuan Chen, Qinghe Gao, Jiantong Cai

“…Antioxidant diets, indicated by the Composite Dietary Antioxidant Index (CDAI), may reduce oxidative stress and alter albumin urinary excretion rates. …”
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Evaluation of microbiome composition combined with serum untargeted metabolomic profiling in newly diagnosed children with inflammatory bowel disease by Katarzyna Zdanowicz, Karolina Pietrowska, Dariusz M. Lebensztejn, Michal Ciborowski, Joanna Godzien, Adam Kretowski, Jaroslaw Daniluk, Urszula Daniluk

“…Then, serum metabolic profiles of these two microbiota-based groups of IBD patients were compared using orthogonal partial least squares discriminant analysis (OPLS-DA) modelling. Good quality models were obtained based on serum metabolomics data collected in positive and negative ion mode. …”
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Comparison of the Physicochemical Properties, Microbial Communities, and Hydrocarbon Composition of Honeys Produced by Different <i>Apis</i> Species by Guozhi Zhang, Yao Liu, Yaling Luo, Cuiping Zhang, Shanshan Li, Huoqing Zheng, Xiasen Jiang, Fuliang Hu

“…The chemical composition and quality of honey are influenced by its botanical, geographic, and entomological origins, as well as climatic conditions. …”
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