Analysis of bank slope stability under strong seismic response for super long span bridges by Zhaomeng DU, Tianxiang LIU, Qiang CHENG, Hang LEI, Feng WANG

“…A three-dimensional slope structure model with unloading cracks was developed. The peak seismic acceleration of each characteristic point on the bank slope under different instability failure modes was obtained using dynamic time-history analysis method and modified amplification coefficient was derived based on these findings. …”
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Neuroanatomical Study of In-Vivo Brainstem Abnormalities in Autism Spectrum Disorder and Their Clinical Correlations by Pashmina Shaikh, Umbreen Bano, Samreen Memon, Shamshad Bano, Sameena Gul, Pirya

“… Background: Autism Spectrum Disorder (ASD) is typically linked to dysfunction of the brainstem, interfering with sensory treatment and autonomic management. The study aimed at examining the structural changes in the brainstem of a rat model induced by propionic acid (PPA) and focused on neuroanatomy changes within the medulla and pons. …”
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A Comparative Analysis of Deep Learning-Based Segmentation Techniques for Terrain Classification in Aerial Imagery by Martina Formichini, Carlo Alberto Avizzano

“…Our results show that the best-performing models achieved a pixel-level class accuracy of 99.06%, with an F1-score of 72.94%, 71.5% Jaccard loss, and 88.43% recall. …”
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Prognostic analysis of 1 026 patients with head and neck squamous cell carcinoma based on SEER database by LI Qian, LI Chenxi, FANG Chang, LIU Hui, GONG Zhongcheng

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Blockchain-Based Supply Chain Management Ensuring Transparency and Traceability in Logistics Operations by Chinthamu Narender, A Swathi, Banka Venkata Ramana, S Jagadheeswaran, Yoganandh Sampathirao, Jebaseeli S Kanmani

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Construction of a Multimodal Machine Learning Model for Papillary Thyroid Carcinoma Based on Pathomics and Ultrasound Radiomics DatasetMendeley Data by Yu-Yan Pang, Zhong-Qing Tang, Chang Song, Ning Qu, Jing-Yu Chen, Dan-Dan Xiong, Zhen-Bo Feng, Gang Chen

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Integrated bioinformatics and experimental analysis of mitochondrial-associated membrane function and mechanism in acute respiratory distress syndrome​​ by Yanqiong Zhou, Qiuying Chen, Xiaoxia Wang, Kaimin Lv, Hui Huang, Jifeng Feng, Bijun Luo

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Multi-source Data-driven Analysis of Deformation and Influencing Factors for Expansive Soil Canal Slopes by ZHANG Yuhan, HU Jiang, LI Xing

“…The model investigates the deformation characteristics, dominant controlling factors, and evolutionary mechanisms of deep excavated expansive soil slopes, facilitating multi-source data-driven analysis of deformation and its influencing factors. …”
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Model-Based AUV Path Planning Using Curriculum Learning and Deep Reinforcement Learning on a Simplified Electronic Navigation Chart by Łukasz Marchel, Rafał Kot, Piotr Szymak, Paweł Piskur

“…Deep Reinforcement Learning (DRL)-based algorithms have demonstrated substantial effectiveness in tackling complex control problems for autonomous underwater vehicles (AUVs). This paper attempts to evaluate reinforcement learning (RL)-based methods for AUV trajectory planning by incorporating a model of a vehicle’s full motion. …”
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Modal Analysis of a Discrete System in the Form of a Rocket Launcher Installed on a Motor Vehicle by Zbigniew DZIOPA, Maciej NYCKOWSKI

“…The model is simplified to a vertical plane; it has four degrees of freedom and is adapted for a modal analysis. …”
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Changing trends in human brucellosis in pastoral and agricultural China, 2004–2019: a Joinpoint regression analysis by Xiaojuan Ma, Zhuo Liu, Yuhui Geng, Yuan Zhao, Hua Meng, Mingbo Chen, Ting Pan, Dongfeng Pan, Peifeng Liang

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Analysis of soil salinization and land use change under water conservation retrofit in the Hetao irrigation district by Yi Zhao, Shuya Yang, Haibin Shi, Haoqi Han, Yunlei Dong, Xianyue Li, Jianwen Yan, Yan Yan, Xu Dou, Feng Tian, Qingfeng Miao

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Factors affecting the adoption of industry 4.0 technologies in circular economy: interpretive structure modelling (ISM) approach for future sustainability by Rakesh Kumar, Vinay Kandpal

“…Key factors include production scalability, management support, operational performance, and investment cost. The MIMAC analysis identifies four groups, i.e., autonomous, dependence, linkage, and dependency variables. …”
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Common agricultural policy Health Check: the beginning of CAP’s re-nationalization? by Marko LOVEC, Emil ERJAVEC

“…Research is focused on formal statements and positions expressed by actors involved in the process, on economic rationale of different mechanisms and on CAP’s economic effects on different interest groups. Analysis which heavily draws from specialized first and second hand resources supports the proposed model. …”
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Modeling the influence of external influences on the process of automated landing of a UAV-quadcopter on a moving platform using technical vision by Artyom V. Ryabinov, Anton I. Saveliev, Dmitriy A. Anikin

“…As part of the research, methods for modeling external weather conditions were developed and landing tests were carried out simulating weather conditions such as wind, light, fog and precipitation, including their combinations. …”
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Identification of biomarkers and potential drug targets in DFU based on fundamental experiments and multi-omics joint analysis by Xudong Xin, Xudong Xin, Xudong Xin, Xudong Xin, Haidong Zhou, Song Huang, Wenzhao Zhang, Jiahou Xu, Wei Wang, Jihua Wei, Jihua Wei, Jihua Wei, Jihua Wei, Liqing Li

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Machine Learning-Based Prediction Model for Predicting the Effect of the Serum γKlotho Level on Susceptibility to Coronary Heart Disease by Guo ZT, Yu XL, Cheng H, Naman T

“…Zi-Tong Guo,1 Xiao-Lin Yu,2 Hui Cheng,2 Tuersunjiang Naman2 1Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, People’s Republic of China; 2Department of Cardiology, People’s Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, People’s Republic of ChinaCorrespondence: Tuersunjiang Naman, Email tursunjan1016@163.comObjective: This study investigates the relationship between serum γKlotho levels and coronary heart disease (CHD) risk and develops a machine learning model for CHD prediction.Methods: A total of 1435 subjects were enrolled for analysis and randomized as training (n =  969, 70%) or validation (n =  466, 30%) group. …”
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Application of a living lab model to an evidence-based reduced-sodium healthy eating practice program in Korea: a pre-post study by Jung-Hyun Kim, Eugene Shim, Min Sook Kyung, Sooyoun Kwon, Hyoung Su Park, Jae-Heon Kang

“…Conclusion The community-based, living lab model for the sodium-reduction program effectively improved participant sodium-reduction literacy and practical competency, suggesting that step-by-step, autonomous learning, can reduce sodium intake and promote healthier eating habits.…”
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AI-Enhanced Real-Time Monitoring of Marine Pollution: Part 2—A Spectral Analysis Approach by Navya Prakash, Oliver Zielinski

“…The system features a dual-unit design: an overview unit for wide-area detection and a directional unit equipped with an autonomous pan-tilt mechanism for focused high-resolution analysis. …”
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Antibacterial Efficacy of Moringa oleifera Leaf Extract against Salmonella typhimurium in a Rat Model: An Experimental Study on Infection Treatment by Saranraj, P

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