Continuance Intention to Use AI Chatbots in Libraries: Mediation Based on Emotional Experience by Haiting MA, Chuansheng CHENG

“…Based on the data analysis, four suggestions are proposed from the perspective of future learning ecology design and user psychology. When designing library AI chatbots, the usage scenarios should be enriched, and the healing function, immersive experiences and immersive experiences should be emphasized. …”
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Detecting and reducing heterogeneity of error in acoustic classification by Oliver C. Metcalf, Jos Barlow, Yves Bas, Erika Berenguer, Christian Devenish, Filipe França, Stuart Marsden, Charlotte Smith, Alexander C. Lees

“…However, the analysis of large acoustic datasets is challenging and fully automated machine learning processes are rarely developed or implemented in ecological field studies. …”
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Writing the Future: Artificial Intelligence, Handwriting, and Early Biomarkers for Parkinson’s Disease Diagnosis and Monitoring by Giuseppe Marano, Sara Rossi, Ester Maria Marzo, Alice Ronsisvalle, Laura Artuso, Gianandrea Traversi, Antonio Pallotti, Francesco Bove, Carla Piano, Anna Rita Bentivoglio, Gabriele Sani, Marianna Mazza

“…Parkinson’s disease (PD) is a progressive neurodegenerative disorder that impairs motor function, including the fine motor control required for handwriting. …”
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A Gaussian Mixture Model-Based Unsupervised Dendritic Artificial Visual System for Motion Direction Detection by Zhiyu Qiu, Yuxiao Hua, Tianqi Chen, Yuki Todo, Zheng Tang, Delai Qiu, Chunping Chu

“…Motion perception is a fundamental function of biological visual systems, enabling organisms to navigate dynamic environments, detect threats, and track moving objects. …”
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Real-Time ConvNext-Based U-Net with Feature Infusion for Egg Microcrack Detection by Chenbo Shi, Yuejia Li, Xin Jiang, Wenxin Sun, Changsheng Zhu, Yuanzheng Mo, Shaojia Yan, Chun Zhang

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Unraveling shared diagnostic genes and cellular microenvironmental changes in endometriosis and recurrent implantation failure through multi-omics analysis by Dongxu Qin, Yongquan Zheng, Libo Wang, Zhenyi Lin, Yao Yao, Weidong Fei, Caihong Zheng

“…GSEA revealed that these genes are involved in immune responses, vascular function, and hormone regulation, and are regulated by miR-3121-3p. …”
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Classification of ROI-based fMRI data in short-term memory tasks using discriminant analysis and neural networks by Magdalena Fafrowicz, Marcin Tutajewski, Igor Sieradzki, Jeremi K. Ochab, Jeremi K. Ochab, Anna Ceglarek-Sroka, Koryna Lewandowska, Tadeusz Marek, Barbara Sikora-Wachowicz, Igor T. Podolak, Paweł Oświęcimka, Paweł Oświęcimka, Paweł Oświęcimka

“…In recent years, machine learning methods have been widely used to detect connections between regions of interest (ROIs) involved in cognitive functions, as measured by the fMRI technique. …”
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Gender difference in cross-sectional area and fat infiltration of thigh muscles in the elderly population on MRI: an AI-based analysis by Sara Bizzozero, Tito Bassani, Luca Maria Sconfienza, Carmelo Messina, Matteo Bonato, Cecilia Inzaghi, Federica Marmondi, Paola Cinque, Giuseppe Banfi, Stefano Borghi

“…Abstract Background Aging alters musculoskeletal structure and function, affecting muscle mass, composition, and strength, increasing the risk of falls and loss of independence in older adults. …”
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Predicting recurrence risk in endometrial cancer: a multisequence MRI intratumoral and peritumoral radiomics nomogram approach by Jie Li, Jie Li, Dianpei Ma, Dianpei Ma, Xiuting Chen, Xiuting Chen, Junting Wei, Junting Wei, Jiali Xu, Yingming Zhao, Zhizhen Gao

“…Nine machine learning classifiers were employed to construct the intratumoral model (RM1). …”
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YOLOv8-LSW: A Lightweight Bitter Melon Leaf Disease Detection Model by Shuang Liu, Haobin Xu, Ying Deng, Yixin Cai, Yongjie Wu, Xiaohao Zhong, Jingyuan Zheng, Zhiqiang Lin, Miaohong Ruan, Jianqing Chen, Fengxiang Zhang, Huiying Li, Fenglin Zhong

“…Finally, WIoUv3 replaces the original loss function, optimizing lesion boundary regression based on a dynamic focusing mechanism. …”
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Mineral identification in thin sections using a lightweight and attention mechanism by Xin Zhang, Wei Dang, Jun Liu, Zijuan Yin, Guichao Du, Yawen He, Yankai Xue

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Mitochondrial insights: key biomarkers and potential treatments for diabetic nephropathy and sarcopenia by Yi Wei Chen, Shan He, Yu Wang, Lian Ying Hu, Qin Kai Chen, Si Yi Liu

“…Utilizing four machine learning algorithms (LASSO, SVM, XGBoost, RF), we pinpointed three mitochondrial hub genes. …”
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A Dynamic Monitoring Framework for Spring Low-Temperature Disasters Affecting Winter Wheat: Exploring Environmental Coercion and Mitigation Mechanisms by Meixuan Li, Zhiguo Huo, Qianchuan Mi, Lei Zhang, Jianying Yang, Fengyin Zhang, Rui Kong, Yi Wang, Yuxin Huo

“…This study establishes a low-temperature disaster (LTD) monitoring system based on machine learning algorithms, which primarily consists of a module for identifying types of disasters and a module for simulating the evolution of LTDs. …”
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The current state of oral epic performing in the Philippines and ways of transmitting / acquiring sacred knowledge by singers and shamans by M. V. Stanyukovich

“…The unique value of the Philippine situation is that it allows us to witness processes that can be only hypothetically reconstructed for most of world epics, such as: change, transformation and /or elimination of ritual connections of the epic, of ritual functions of the performance and the performer, conversion of ritual texts into oral literature for «entertainment». …”
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Large-Scale Apple Orchard Identification from Multi-Temporal Sentinel-2 Imagery by Chunxiao Wu, Yundan Liu, Jianyu Yang, Anjin Dai, Han Zhou, Kaixuan Tang, Yuxuan Zhang, Ruxin Wang, Binchuan Wei, Yifan Wang

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A psychometric evaluation of an item bank for an English reading comprehension tool using Rasch analysis by Louis Wai Keung Yim, Che Yee Lye, Poh Wee Koh

“…This study reports the psychometric evaluation of an item bank for an Assessment for Learning (AfL) tool to assess primary school students’ reading comprehension skills. …”
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A Computationally-Efficient Data-Driven Safe Optimal Algorithm Through Control Merging by Marjan Khaledi, Bahare Kiumarsi

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Identification and validation of mitophagy-related genes in acute myocardial infarction and ischemic cardiomyopathy and study of immune mechanisms across different risk groups by Ying Hao, Ying Hao, RuiLin Li, RuiLin Li, ChengHui Fan, ChengHui Fan, Yang Gao, Xia Hou, Wei wen, YunLi Shen

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The Impact of Radiation Dose on CT‐Based Body Composition Analysis: A Large‐Animal Study by Luca Salhöfer, Gregor Jost, Mathias Meetschen, Daniel vanLandeghem, Michael Forsting, Denise Bos, Christian Bojahr, Rene Hosch, Felix Nensa, Hubertus Pietsch, Johannes Haubold

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A neural network-based method for input parameter optimization of edge transport modeling utilizing experimental diagnostics by Y. Luo, S. Xu, Y. Liang, E. Wang, J. Cai, Y. Feng, D. Reiter, A. Knieps, S. Brezinsek, D. Harting, M. Krychowiak, D. Gradic, P. Ren, D. Zhang, Y. Gao, G. Fuchert, A. Pandey, M. Jakubowski, the W7-X Team

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