Analyzing the influence of manufactured sand and fly ash on concrete strength through experimental and machine learning methods by S Sathvik, Solomon Oyebisi, Rakesh Kumar, Pshtiwan Shakor, Olutosin Adejonwo, Adithya Tantri, V Suma

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Comparative Analysis of Generative Artificial Intelligence Systems in Solving Clinical Pharmacy Problems: Mixed Methods Study by Lulu Li, Pengqiang Du, Xiaojing Huang, Hongwei Zhao, Ming Ni, Meng Yan, Aifeng Wang

“…ObjectiveThis study aims to quantitatively evaluate and compare the performance of 8 mainstream generative AI systems across 4 core clinical pharmacy scenarios—medication consultation, medication education, prescription review, and case analysis with pharmaceutical care—using a multidimensional framework. MethodsForty-eight clinically validated questions were selected via stratified sampling from real-world sources (eg, hospital consultations, clinical case banks, and national pharmacist training databases). …”
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Experimental and Analytical Study on the Flexural Performance of Layered ECC–Concrete Composite Beams by Chong Gui, Jinlong Ji, Chongfa Xu, Zhihua Li, Xuan Guo

“…The experimental findings underscore a substantial improvement in crack resistance and flexural bearing capacity of ECC-concrete composite beams reinforced with steel bars. Building on these results, a theoretical model was formulated to predict the moment-deflection responses of ECC-concrete composite beams incorporating steel bars. …”
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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

“…A significant proportion of previous research has concentrated on the study of gut bacterial communities, with relatively little attention paid to the link between gut mycobiome and depression.MethodsIn this research, we analyzed the composition and differences of intestinal fungal communities between major depressive disorder (MDD) and healthy controls. …”
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Pitfalls in quantifying species turnover: the residency effect by Kevin Chase Burns

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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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Chemistry Learning Through CIRC on DNA Base Materials: Hypothesis Testing the Kolmogorov-Smirnov Method on Male and Female Population Samples by Endro Tri Susdarwono

“…Cooperative Integrated Reading and Composition (CIRC) is one type of cooperative learning model that combines reading activities with other activities, such as writing, discussion, and presentation in an integrated manner. …”
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Microstructure-Driven Hygrothermal Behavior of Mycelium-Based Composites for Bio-Based Insulation by Sina Motamedi, Daniel R. Rousse, Geoffrey Promis

“…This study investigates the coupled hygrothermal behavior of mycelium-based composites (MBCs) as a function of their microstructural organization, governed by fungal species, substrate type, additive incorporation, and treatment method. …”
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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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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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Ground validation of manipulator adaptive variable admittance control method for detumbling a space noncooperative satellite by Xinlin Bai, Xiwen Li, Zhen Zhao, Zhigang Xu

“…The control block diagram of the proposed method is presented, and the adaptive variable admittance compliant detumbling control model is established. …”
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Research on the Carbon Footprint Accounting Method of Transformer’s Whole Life Cycle Under the Background of Double Carbon by Wei Li, Yifan Bian, Yunyun Zhang, Erbiao Zhou, Lirong Xie

“…A review of mainstream carbon footprint accounting schemes, both domestic and international, is first presented, summarizing established accounting methods and calculation processes. The paper then introduces a novel, integrated carbon footprint accounting approach for transformers, covering the entire ‘cradle-to-grave’ lifecycle, along with an associated calculation model. …”
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A new method of shale oil facies element logging evaluation and its application in Dongying Sag by GUAN Qianqian,JIANG Long,CHENG Ziyan,ZHANG Diandong,WANG Yunhe,ZHANG Fan

“…This methodology addresses the challenges posed by complex lithology, limited logging resolution, incomplete special logging data, and inadequate Total Organic Carbon（TOC）model accuracy. By identifying the “four characteristics” of lithofacies, the study establishes a quantitative logging identification method and technology for shale oil lithofacies in Dongying Sag, pinpointing concentrated lithofacies segments. …”
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A study on the simulation of metal powder molding based on the discrete element method with equal particle size by Wenchao Wang, Mengyao Weng, Kangxing Dong, Hui Qi, Yuanbo Zhao, Hao Chang, Wenzhe Wang, Pingan Liu

“…Since it is difficult to accurately calculate the number of powder particles by traditional methods, a multi-particle model combining the discrete element method (DEM) and the finite element method (FEM) is used in this study to analyze the effects of the powder stacking structure, the metal composition ratio, the pressing force, the holding time, and the friction coefficient of the inner wall of the die on the densification process. …”
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Evaluation of a body height and weight harmony among university students by Stanislaw B. Nowak, Ihor P. Zanevskyy

“…Material and Methods. Students of three years Bachelor programs in the humanistic university were investigated: 137 males in the age of 22.1±1.7 years old, body height – 180.0±7.9 cm, body weight – 79.6±12.3 kg; 281 females in the age of 21.5±2.1 years old, body height – 166.4±6.0 cm, body weight – 59.6±8.9 kg. …”
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A predictive model for body water and fluid balance using 3D smartphone anthropometry by Austin J. Graybeal, Abby T. Compton, Sydney H. Swafford, Caleb F. Brandner, Molly F. Johnson, Maria G. Kaylor, Hunter Haynes, Jon Stavres

“…However, 3D smartphone scanning applications that automate body volumes and other anthropometric estimates may provide a viable alternative to body fluid assessments.MethodsA total of 338 participants underwent fluid volume assessments using bioelectrical impedance spectroscopy (BIS) and collected body volumes and anthropometric data using a 3D smartphone scanning application. …”
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Research on Soft-Sensing Method Based on Adam-FCNN Inversion in <i>Pichia pastoris</i> Fermentation by Bo Wang, Wenyu Ma, Hui Jiang, Shaowen Huang

“…To address the challenges in modeling and optimization caused by nonlinear dynamic coupling and real-time measurement difficulties of key biological parameters in <i>Pichia pastoris</i> fermentation processes, this study proposes a soft-sensing method based on Adam-Fully Connected Neural Network inverse. …”
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Research Progress on the Bitter Taste Formation Mechanism in Protein Hydrolysates and Their Enzymatic Debittering and Flavor Improvement by Mengzhuo LI, Xueyan DUAN, Junjuan WANG, Xiaoyan ZHAO, Peiyou QIN

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A safety risk assessment method for TBM tunnel construction based on attribute interval identification theory by Bo Wang, Qikai Li, Zefan Xu, Shibin Niu, Xiangtian Nie

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