AI-Driven Identification of Grapevine Fungal Spores via Microscopic Imaging and Feature Optimization with Cuckoo Search Algorithm by Xin Shi, Seyed Mohamad Javidan, Yiannis Ampatzidis, Zhao Zhang

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Exploring the Role of Artificial Intelligence in Wastewater Treatment: A Dynamic Analysis of Emerging Research Trends by Javier De la Hoz-M, Edwan Anderson Ariza-Echeverri, Diego Vergara

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Prediction of COVID-19 Effect on Patients during Six Month After Recovery, by Using AI Algorithm by hanan aldabagh, Ghaydaa Al-Talib

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Demystifying multiple sclerosis diagnosis using interpretable and understandable artificial intelligence by Chadaga Krishnaraj, Khanna Varada Vivek, Prabhu Srikanth, Sampathila Niranjana, Chadaga Rajagopala, Palkar Anisha

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Metagenomic exploration and computational prediction of novel enzymes for polyethylene terephthalate degradation by Donya Afshar Jahanshahi, Mohammad Reza Rezaei Barzani, Mohammad Bahram, Shohreh Ariaeenejad, Kaveh Kavousi

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Norwegians’ preferences for automated vehicles by Milad Mehdizadeh, Trond Nordfjærn, Christian A. Klöckner

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Neuropsychological and clinical variables associated with cognitive trajectories in patients with Alzheimer's disease by Marianna Riello, Monica Moroni, Stefano Bovo, Flavio Ragni, Manuela Buganza, Raffaella Di Giacopo, Marco Chierici, Lorenzo Gios, Matteo Pardini, Matteo Pardini, Federico Massa, Federico Massa, Monica Dallabona, Elisa Vanzetta, Cristina Campi, Cristina Campi, Michele Piana, Michele Piana, Sara Garbarino, Manuela Marenco, Venet Osmani, Giuseppe Jurman, Antonio Uccelli, Antonio Uccelli, Bruno Giometto, Bruno Giometto, NeuroArtP3 Network, Filippo Gerli, Guido Pasquini, Claudia Niccolai, Matteo Betti, Emilio Portaccio, Maria Pia Amato, Rossi Andrea, Parodi Costanza, Ramaglia Antonia, Tortora Domenico, Severino Mariasavina, Andrea Falini, Antonella Castellano, Nicolò Pecco, Paola Scifo, Sonia Calloni

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Advancing named entity recognition in interprofessional collaboration and education by Rui Zhang, Yifeng Shan, MengZhe Zhen

“…While traditional methods, such as rule-based systems and machine learning models, have achieved moderate success in various domains, they often struggle with the dynamic, context-sensitive nature of IPC scenarios. …”
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Oral Health and Diabetic Cardiomyopathy: Mechanisms, Biomarkers, and Early Screening Approaches by Fang J, Wu Y, Wang H, Zhang J, You L

“…Future research should promote interdisciplinary diagnosis and collaboration, develop non-invasive early screening technologies, integrate multimodal and multi-omics oral data, leverage large-scale multicenter clinical data to comprehensively evaluate the association between oral health indicators and diabetic cardiomyopathy, and simultaneously train and validate precise artificial intelligence models. This perspective integrates existing research findings on the role of oral health in diabetic heart disease, highlights current research limitations, and emphasizes the need for further studies to clarify causal relationships and facilitate widespread clinical application.Keywords: diabetic cardiomyopathy, oral health status, mechanism, screening indicators, machine learning…”
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A mini review of transforming dementia care in China with data-driven insights: overcoming diagnostic and time-delayed barriers by Pinya Lu, Xiaolu Lin, Xiaofeng Liu, Mingfeng Chen, Caiyan Li, Hongqin Yang, Yuhua Wang, Xuemei Ding

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The analysis of English language teaching with machine translation based on virtual reality technology by Tao Su, Lynette P. Rue

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AI Thinking: a framework for rethinking artificial intelligence in practice by Denis Newman-Griffis

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Nonlinear and synergistic effects of demographic characteristics on urban polycentric structure using SHAP by Yichen Ruan, Xiaoyi Zhang, Mingyu Zhang, Feiyang Sun, Qiuxiao Chen

“…Our study utilizes detailed demographic data and employs interpretable machine learning models to elucidate the nonlinear and synergistic relationship between demographic characteristics and the urban polycentric structure in the context of a city of 10 million population in China. …”
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Revitalizing agriculture with the potential of cashew nutshell liquid: a comprehensive exploration and synergy with AI by Sneha Nayak, Roopa B. Hegde, Abhishek S. Rao, H. K. Sachidananda

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Spatial analysis of daytime and nighttime crash severity on horizontal curves of mountainous rural highways: A case study in Northern Iran by Morteza Safari, Meysam Effati, Mahyar Arabani

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Enhanced framework for credit card fraud detection using robust feature selection and a stacking ensemble model approach by Rahul Kumar Gupta, Asmaul Hassan, Samir Kumar Majhi, Nikhat Parveen, Abu Taha Zamani, Raju Anitha, Binayak Ojha, Abhinav Kumar Singh, Debendra Muduli

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Development and validation of risk stratification and shared decision-making tool for catheter ablation for atrial fibrillation in patients with heart failure: a multicentre cohort... by Xiaodong Peng, Liu He, Jue Wang, Nan Li, Jing Cui, Shijun Xia, Song Zuo, Chao Jiang, Jinzhu Hu, Kui Hong, Zhuheng Li, Peng Zhang, Ning Zhou, Caihua Sang, Deyong Long, Xin Du, Jianzeng Dong, Changsheng Ma

“…Methods: In this multicentre cohort study, we derived a shared decision-making tool by applying unsupervised clustering and supervised learning models to data from the China-AF registry, collected from 31 hospitals between August 1, 2011, and December 31, 2022. …”
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Federated learning-based CT liver tumor detection using a teacher‒student SANet with semisupervised learning by Cheng-Shun Lee, Jenn-Jier James Lien, Kai Chain, Li-Chun Huang, Zhong-Wei Hsu

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Precision Enhanced Bioactivity Prediction of Tyrosine Kinase Inhibitors by Integrating Deep Learning and Molecular Fingerprints Towards Cost-Effective and Targeted Cancer Therapy by Fatma Hilal Yagin, Yasin Gormez, Cemil Colak, Abdulmohsen Algarni, Fahaid Al-Hashem, Luca Paolo Ardigò

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Federated learning applications in soil spectroscopy by Giannis Gallios, Nikolaos Tsakiridis, Nikolaos Tziolas

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