Vitamin D as a Key Mediator Between C-reactive Protein to Albumin Ratio and Congestive Heart Failure in an Elderly Population: An Innovative Exploration Using the NHANES Database by Yufeng Wei, Zhaofeng Zhang

“…Mediation analysis (Hayes’ PROCESS Model 4, 5000 bootstrap samples) tested whether 25(OH)D mediated the CAR-CHF link. …”
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Accurate prediction of damage depth of multi-story structural footings with Matlab implementation by Ang LI, Weidong WANG, Qian MOU, Feng WANG, Zhenghe MA, Lei ZHAO, Gang HUANG, Yonggen ZHOU, Shengqi TIAN

“…Firstly, we construct a mechanical model of plastic slip line field of multilayer structure base plate, derive the analytical solution of base plate damage depth under multiple working conditions, and optimize five working conditions for calculating the damage depth of multilayer structure base plate; secondly, we analyze the shortage and error causes of manual calculation method of damage depth of multilayer structure base plate; we propose a logical flow for calculating the damage depth of multilayer structure base plate, and develop a system for calculating the damage depth of multilayer structure base plate with the help of Matlab language. …”
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Decoding Flow-Ecology Relationships: A Machine learning framework for flow regime Characterization and riparian vegetation prediction by Yifan Huang, Xiang Zhang, Jing Xu, Liangkun Deng, Yilun Li

“…To efficiently obtain the flow sequences under the future climate scenarios, the study constructs two optimization algorithm-based LSTM-Transformer coupled models, achieving superior simulation results with NSE exceeding 0.95 during the historical period (1981–2023). …”
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Factors affecting the design of the management dashboard framework with an emphasis on the components of human resources productivity by Hassan Barmaki, Farshad Faezy Razi, Ehtesham Rashidi

“…Several different goals are expected from the dashboard, which include consistency and stability, planning monitoring and control, and communication (Paul, 2021).Akbari & Nazari (2023) investigated the design and validation of the model of the factors affecting the productivity of human resources with a mixed approach. …”
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Designing a High-Sensitivity Microscale Triple-Band Biosensor Based on Terahertz MTMs to Provide a Perfect Absorber for Non-Melanoma Skin Cancer Diagnostic by Musa N. Hamza, Mohammad Tariqul Islam, Slawomir Koziel, Muhamad A. Hamad, Iftikhar ud Din, Ali Farmani, Sunil Lavadiya, Mohammad Alibakhshikenari

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Fire Reconstruction and Flame Retardant with Water Mist for Double-Roofed Ancient Buddhist Buildings by Chen Zhong, Ting Li, Hui Liu, Lei Zhang, Xiaoyan Wen

“…Secondly, the building modeling is revised, and the fire hazard is modeled based on computational fluid dynamics (CFD). …”
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轨迹再现机构的模糊稳健优化设计方法 by 郭惠昕, 张世安, 何哲民, 桂乃磐

“…Then the principle of fuzzy robust design and the mathematical modeling method were put forward. With a four-bar path generator taken as an example, the fuzzy robust optimal design was accomplished. …”
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Artificial Neural Networks for Residual Capacity Estimation of Cycle-Aged Cylindric LFP Batteries by Pasquale Franzese, Diego Iannuzzi, Roberta Merolla, Mattia Ribera, Ivan Spina

“…These results advance battery management systems by offering a robust, efficient modeling framework that optimizes battery utilization across diverse applications, even under data-constrained conditions.…”
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Physical activity level and health-related quality of life in adults with multiple osteochondromas: a Dutch cross-sectional study by Ihsane Amajjar, Kuni Vergauwen, Nienke W. Willigenburg, Ivan P. J. Huijnen, Rob J. E. M. Smeets, S. John Ham

“…MO patients reported significantly lower PAL and physical HRQOL than healthy controls. This study provides insight in several factors associated with the PAL and HRQOL in MO which could be used to optimize patients’ treatment.…”
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Dengue risk-mapping in an Amazonian locality in Colombia based on regression and multi-criteria analysis by Maria Camila Lesmes, Alvaro Ávila-Díaz, Erika Santamaría, Carlos Andrés Morales, Horacio Cadena, Patricia Fuya, Nicolas Frutos, Ximena Porcasi, Catalina Marceló-Díaz

“…For this purpose, an analytical, comparative, ecological study was carried out in three stages: i) selection of indicators associated with the occurrence of dengue through hierarchical analysis; ii) execution of a spatial-based Ordinary Least Squares (OLS) regression technique; and iii) multi-criteria analysis of the risk data obtained. Consequently, two optimal models, one for the rainy season (R2=0.5761; AIC=366.3929) and the other for the dry season (R2=0.8560; AIC=440.7557) were obtained for the Dengue Incidence Rate (DIR) during the study period mainly based on socio-demographic and environmental variables. …”
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Advancing agriculture with machine learning: a new frontier in weed management by Mohammad MEHDIZADEH, Duraid K. A. AL-TAEY, Anahita OMIDI, Aljanabi Hadi Yasir ABBOOD, Shavan ASKAR, Soxibjon TOPILDIYEV, Harikumar PALLATHADKA, Renas Rajab ASAAD

“…Machine learning offers innovative and sustainable approaches by analyzing large data sets, recognizing patterns, and making accurate predictions. Machine learning models can classify weed species and optimize herbicide usage. …”
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Molecular Dynamics Study of a Superabsorbent Polymer (SAP)-Modified Calcium Silicate Hydrate (C-S-H) Gel’s Mechanical Properties by Shengbo Zhou, Jinlin Cai, Ke Lai, Gengfei Li, Shengjie Liu, Jian Wang, Xiaohu Sun

“…Next, MD simulations were employed to construct C-S-H gel models with controlled pore size distributions at three SAP contents (0.2%, 0.3%, and 0.5%), to establish a quantitative relationship between pore characteristics and material performance. …”
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An Efficient Process for the Management of the Deterioration and Conservation of Architectural Heritage: The HBIM Project of the Duomo of Molfetta (Italy) by Enrique Nieto-Julián, Silvana Bruno, Juan Moyano

“…Subsequently, it was possible to develop an efficient Scan-to-HBIM workflow, where the Heritage BIM (HBIM) project has fulfilled the function of a database by incorporating and organizing all the information (graphic and non-graphic) to optimize the tasks of auscultation, identification, classification, and quantification and, in turn, facilitating the parametric modeling of unique structures and architectural elements. …”
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Numerical simulation and experimental study of the temperature field of AlCoCrFeNi2.1 by selective laser melting by Congcong YUE, Ruixiang ZHANG, Wanting SUN, Dongzhou JIA, Ying FU, Xiangqing KONG

“…In this study, a finite element model of the AlCoCrFeNi2.1 eutectic high-entropy alloy formed by SLM was developed using the ABAQUS software, with the movement of the Gaussian heat source implemented through the DFLUX subroutine. …”
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Multifunctional micro/nano-textured titanium with bactericidal, osteogenic, angiogenic and anti-inflammatory properties: Insights from in vitro and in vivo studies by Théo Ziegelmeyer, Karolinne Martins de Sousa, Tzu-Ying Liao, Rodolphe Lartizien, Alexandra Delay, Julien Vollaire, Véronique Josserand, Denver Linklater, Phuc H. Le, Jean-Luc Coll, Georges Bettega, Elena P. Ivanova, Véronique Martel-Frachet

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Experimental Research on Pile-Soil Stress Ratio of Rigid Pile Composite Foundation in Shallow-Buried Rock and Soft Soil by REN Jia-li, JIANG Ji-wei, HU Sheng-gang, CHEN Hang, YE Chen-hui

“…A composite embedded cushion layer can meet both seepage control and stress adjustment requirements. The research results can provide a theoretical basis for the optimal design of rigid pile composite foundations in shallow buried rock-soft soils.…”
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Orchard-Wide Visual Perception and Autonomous Operation of Fruit Picking Robots: A Review by CHEN Mingyou, LUO Lufeng, LIU Wei, WEI Huiling, WANG Jinhai, LU Qinghua, LUO Shaoming

“…Enhanced strategies for effective fruit picking using the Eye-in-Hand system involve the development of more dexterous robotic hands and improved algorithms for precisely predicting the optimal picking point of each fruit. The review also identifies a crucial need for further advancements in the dynamic behavior and autonomy of these technologies, emphasizing the importance of continuous learning and adaptive control systems to improve operational efficiency in diverse orchard environments.…”
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Initial experience in implementing quantitative DCE-MRI to predict breast cancer therapy response in a multi-center and multi-vendor platform setting by Brendan Moloney, Xin Li, Michael Hirano, Assim Saad Eddin, Jeong Youn Lim, Debosmita Biswas, Anum S. Kazerouni, Alina Tudorica, Isabella Li, Mary Lynn Bryant, Courtney Wille, Chelsea Pyle, Habib Rahbar, Habib Rahbar, Su Kim Hsieh, Travis L. Rice-Stitt, Suzanne M. Dintzis, Suzanne M. Dintzis, Amani Bashir, Amani Bashir, Evthokia Hobbs, Alexandra Zimmer, Jennifer M. Specht, Jennifer M. Specht, Sneha Phadke, Sneha Phadke, Nicole Fleege, Nicole Fleege, James H. Holmes, James H. Holmes, Savannah C. Partridge, Savannah C. Partridge, Wei Huang

“…A breast phantom was used for quality assurance/quality control (QA/QC) across sites. The Tofts model (TM) and shutter-speed model (SSM) were used for pharmacokinetic (PK) analysis of the DCE data. …”
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Design and Experiment of DEM-Based Layered Cutting–Throwing Perimeter Drainage Ditcher for Rapeseed Fields by Xiaohu Jiang, Zijian Kang, Mingliang Wu, Zhihao Zhao, Zhuo Peng, Yiti Ouyang, Haifeng Luo, Wei Quan

“…Box–Behnken experiments and genetic algorithm optimization determined the optimal parameters: inner blade width: 200 mm; outer blade width: 300 mm; blade group distance: 200 mm; and blade opening: 586 mm, yielding a simulated power consumption of 27.07 kW. …”
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Method for Knowledge Transfer via Multi-Task Semi-Supervised Self-Paced by Yao Zhao, Hongying Liu, Huaxian Pan, Zhen Song, Chunting Liu, Anni Wei, Baoshuang Zhang, Wei Lu

“…With the aid of a self-controlled learning pace, a more robust and globally optimal model can be gradually constructed. …”
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