Synthesis and application of optical silver nanoparticles capped carbon dots as dual-mode sensors for trivalent chromium ions in dietary supplements by Ratchadaporn Seedad, Pornpimol Prayongpan, Wutthikrai Busayaporn, Kriangsak Songsrirote

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Utilization of CO2 and recycling of methanol Residue from the refining process for production of Bio-Methanol by Rujira Jitrwung, Kuntima Krekkeitsakul, Nattawee Teerananont, Parinya Thongyindee, Weerawat Patthaveekongka, Chinnathan Areeprasert

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Is human-like decision making explainable? Towards an explainable artificial intelligence for autonomous vehicles by Jiming Xie, Yan Zhang, Yaqin Qin, Bijun Wang, Shuai Dong, Ke Li, Yulan Xia

“…In the second stage, we draw inspiration from the field of brain-like trusted AI to construct a robust, in-depth, and unbiased evaluation and interpretability framework involving three dimensions: Permutation Importance (PI) analysis, Partial Dependence Plot (PDP) analysis, and model complexity analysis. …”
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Analog Computing for Nonlinear Shock Tube PDE Models: Test and Measurement of CMOS Chip by Hasantha Malavipathirana, Soumyajit Mandal, Nilan Udayanga, Yingying Wang, S. I. Hariharan, Arjuna Madanayake

“…Analog CMOS has power efficiency advantages over digital CMOS for low-precision applications in edge computing, scientific computing, and artificial intelligence/machine learning (AI/ML) verticals. Driven by observed non-trivial improvements in performance over digital processors while solving linear partial differential equations (PDEs), this paper presents experimental results and analysis from a single-chip CMOS analog computer for solving nonlinear PDEs. …”
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CDGFD: Cross-Domain Generalization in Ethnic Fashion Design Using LLMs and GANs: A Symbolic and Geometric Approach by Meizhen Deng, Ling Chen

“…These findings suggest significant potential for AI-driven innovation in ethnic fashion design, with applications in both cultural preservation and modern fashion industries.…”
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Smart interfaces to assist the operator in the context of industry 4.0 with a 5S human-centric approach by Mario Rojas, Javier Maldonado-Romo, Juana Isabel Mendez, Pedro Ponce, Arturo Molina

“…Future research should focus on customization, AI-driven adaptability, sustainability, real-world scalability, and comprehensive impact assessment to further develop smart interfaces in industrial settings. …”
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Detection, attribution and projection of changes in the extreme temperature range in the Northern Hemisphere by Xiao-Fan Feng, Cheng Qian

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Examining Insula–Default Mode Network Functional Connectivity and Its Relationship with Heart Rate Variability by Marlene Nogueira, Juliana da Silva Magalhães, Adriana Sampaio, Sónia Sousa, Joana F. Coutinho

“…Conclusions: These findings suggest that while the AI and DMN are functionally interconnected, this connectivity may not be directly related to HRV. …”
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Unanticipated mechanisms of covalent inhibitor and synthetic ligand cobinding to PPARγ by Jinsai Shang, Douglas J Kojetin

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Zooming into Berlin: tracking street-scale CO2 emissions based on high-resolution traffic modeling using machine learning by Max Anjos, Fred Meier

“…Artificial Intelligence (AI) tools based on Machine learning (ML) have demonstrated their potential in modeling climate-related phenomena. …”
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LEACH-D: A low-energy, low-delay data transmission method for industrial internet of things wireless sensors by Desheng Liu, Chen Liang, Hongwei Mo, Xiaowei Chen, Dequan Kong, Peng Chen

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Acoustic tags versus camera—a case study on feeding behaviour of European seabass in sea cages by I-Hao Chen, I-Hao Chen, Dimitra G. Georgopoulou, Lars O. E. Ebbesson, Dimitris Voskakis, Antonella Zanna Munthe-Kaas, Nikos Papandroulakis

“…However, the relationship between those two different measurement types seems to have not been explored, nor have they been evaluated together in one experimental site.MethodsIn our 1-month study, we compared the activity of 14 sentinel fish and the artificial intelligence (AI)-inferred speed of individuals from the European seabass (Dicentrarchus labrax) sea cage population in three feeding trials. …”
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Minimal sourced and lightweight federated transfer learning models for skin cancer detection by Vikas Khullar, Prabhjot Kaur, Shubham Gargrish, Anand Muni Mishra, Prabhishek Singh, Manoj Diwakar, Anchit Bijalwan, Indrajeet Gupta

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Economic Impact of Postoperative Urinary Retention in the US Hospital Setting by Weijia Wang, Arielle Marks-Anglin, Vladimir Turzhitsky, Robert J. Mark, Aurelio Otero Rosales, Nathaniel W. Bailey, Yiling Jiang, Joseph Abueg, Ira S. Hofer, Toby N. Weingarten

“…**Methods:** This was a retrospective observational study of adult patients undergoing select surgeries who were administered neuromuscular blockade agent (NMBA), which was pharmacologically reversed between February 2017 and November 2021 using data from the PINC-AI™ Healthcare Database. Patients were divided into 2 groups: those experiencing POUR (composite of retention of urine, insertion of temporary indwelling bladder catheter, insertion of non-indwelling bladder catheter) during index hospitalization following surgery and those without POUR. …”
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Hybrid energy harvesting enabled by a covalent organic framework membrane by Jiaming Yi, Zhuozhi Lai, Qing Guo, Zhiwei Xing, Qi Sun

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Kernel density estimation of egg attachment areas aids in revealing spatiotemporal changes in Chinese sturgeon spawning grounds by Pengsheng Li, Xuan Ban, Jinming Wu, Hui Zhang, Junyi Li, Li Shen, Zhigang Liu, Hao Du

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Bone Marrow Mesenchymal Stem Cells Decrease the Expression of RANKL in Collagen-Induced Arthritis Rats via Reducing the Levels of IL-22 by Fang Li, Xin Li, Guiyan Liu, Chong Gao, Xiaofeng Li

“…The transplantation of MSCs into CIA rats relieved the destruction of joints, measured by AI score, X-ray, and histopathology. MSCs also reduced the expression of IL-22 and RANKL in serum by ELISA (P<0.001) and similarly in FLSs by immunohistochemical staining. …”
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Diagnosis and Classification of Tuberculosis Chest X-ray Images of Children Less Than 15 years at Mbarara Regional Referral Hospital Using Deep Learning. by Kawuma, Simon, Kumbakumba, Elias, Mabirizi, Vicent, Nanjebe, Deborah, Mworozi, Kenneth, Mukama, Adolf Oyesigye, Kyasimire, Lydia

“…To this end, this research aims to close the TB mortality gap in children by applying AI, primarily deep learning techniques, to detect TB in children. …”
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Empirical research on the evolution trend of heat and sentiment for emergencies by Shihong Wu, Wei Yu, Yanxia Zhao, Hongyan Li, Jiatong Wang, Weiyan Yang, Yue Lin

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Biosensors and their widespread impact on human health by Dinesh Bhatia, Sohini Paul, Tania Acharjee, Shrimanata Sundar Ramachairy

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