Hierarchical structure Fe@CNFs@Co/C elastic aerogels with intelligent electromagnetic wave absorption by Hongwei Zhou, Ying Lin, Yongzhen Ma, Luyao Han, Zhixin Cai, Yan Cheng, Qibin Yuan, Wenhuan Huang, Haibo Yang, Renchao Che

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A Novel and Automated Approach to Detect Sea- and Land-Based Aquaculture Facilities by Maxim Veroli, Marco Martinoli, Arianna Martini, Riccardo Napolitano, Domitilla Pulcini, Nicolò Tonachella, Fabrizio Capoccioni

“…The results demonstrate that the approach proposed can identify, characterize, and geolocate sea- and land-based aquaculture structures without performing any post-processing procedure, by directly applying customized deep learning and artificial intelligence algorithms.…”
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Explainable AI for Healthcare 5.0: Opportunities and Challenges by Deepti Saraswat, Pronaya Bhattacharya, Ashwin Verma, Vivek Kumar Prasad, Sudeep Tanwar, Gulshan Sharma, Pitshou N. Bokoro, Ravi Sharma

“…Healthcare 5.0 focuses on real-time patient monitoring, ambient control and wellness, and privacy compliance through assisted technologies like artificial intelligence (AI), Internet-of-Things (IoT), big data, and assisted networking channels. …”
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Identifying the Latitude and Longitude of ATMs in ATM Networks by Niloofar Haghjoo, Mohammad rahmati, Ali Zare Mirakabad

“…This data is indispensable and plays a cardinal role in the implementation of a multitude of artificial intelligence algorithms.   Methods The ATMLP algorithm comprises three primary stages. …”
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A secure and energy-efficient routing using coupled ensemble selection approach and optimal type-2 fuzzy logic in WSN by S. Ambareesh, Pundalik Chavan, S. Supreeth, Rajesh Nandalike, P. Dayananda, S. Rohith

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Imaging Diagnostics, Biomarkers, and Emerging Trends in Orthopedic Research and Treatment by Gabriela Oliwia Trestka, Wiktoria Domino, Urszula Zelik, Maria Przygoda, Joanna Śnieżna, Kamila Stępień, Sabina Adamczyk, Wojciech Florczak, Jagienka Włodyka, Jakub Dziewic, Karol Dzwonnik

“…Finally, emerging technologies like artificial intelligence, smartphones, 4DCT, and 3D printing of implants are poised to revolutionize orthopedic diagnostics and treatment. …”
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Machine learning for the diagnosis accuracy of bipolar disorder: a systematic review and meta-analysis by Yi Pan, Pushi Wang, Bowen Xue, Yanbin Liu, Xinhua Shen, Shiliang Wang, Xing Wang

“…With the growing utilization of artificial intelligence in mental health, researchers are endeavoring to create AI-based diagnostic models. …”
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European ILD registry algorithm for self-assessment in interstitial lung diseases (eurILDreg ASA-ILD). by Ekaterina Krauss, Laurenz H Claas, Silke Tello, Jennifer Naumann, Sandra Wobisch, Stefan Kuhn, Raphael W Majeed, Karen Moor, Maria Molina-Molina, Oisin Byrne, Rebecca Borton, Marlies S Wijsenbeek, Nik Hirani, Carlo Vancheri, Bruno Crestani, Andreas Guenther, eurILDreg investigators

“…Plymouth, MN, USA), along with usage instructions. Artificial intelligence software (ArtiQ) will analyze spirometry maneuvers in real-time, ensuring compliance with recent ERS/ATS criteria and providing automated feedback. …”
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AI-Driven Plant Health Assessment: A Comparative Analysis of Inception V3, ResNet-50 and ViT with SHAP for Accurate Disease Identification in Taro by Valeria Maeda-Gutiérrez, Juan José Oropeza-Valdez, Luis C. Reveles-Gómez, Cristian Padron-Manrique, Osbaldo Resendis-Antonio, Luis Octavio Solís-Sánchez, Hector A. Guerrero-Osuna, Carlos Alberto Olvera Olvera

“…This study addresses the challenges of Taro disease identification by employing two key strategies: integrating explainable artificial intelligence techniques to interpret deep learning models and conducting a comparative analysis of advanced architectures Inception V3, ResNet-50, and Vision Transformers for classifying common Taro diseases, including leaf blight and mosaic virus, as well as identifying healthy leaves. …”
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Digital Age Transformation in Patient-Physician Communication: 25-Year Narrative Review (1999-2023) by Mingming Song, Joel Elson, Dhundy Bastola

“…Additionally, exploring how emerging technologies, such as artificial intelligence, can support these goals may provide valuable insights for enhancing health communication.…”
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Asymmetric representation of symmetric semantic information in the human brain by Jiaxin Wang, Kiichi Kawahata, Antoine Blanc, Naoya Maeda, Shinji Nishimoto, Satoshi Nishida

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Risk factors and machine learning prediction models for intrahepatic cholestasis of pregnancy by Yingchun Ren, Xiaoying Shan, Gengchao Ding, Ling Ai, Weiying Zhu, Ying Ding, Fuzhou Yu, Yun Chen, Beijiao Wu

“…The existing literature exhibits a paucity of studies employing artificial intelligence to predict ICP. Therefore, developing machine learning-based diagnostic and severity classification models for ICP holds significant importance. …”
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A Broad‐High Temperature Ceramic Capacitor with Local Polymorphic Heterogeneous Structures by Binglong Zheng, Ying Lin, Haibo Yang, Hongmei Jing, Hu Nan, Yifei Wang, Fang‐Zhou Yao, Minquan Wang, Qibin Yuan

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Design of an Integrated Model Combining CycleGAN, PPO, and Vision Transformer for Adaptive Scene Rendering in the Metaverse by Durga Prasad Kavadi, Kailash Chandra Mishra, Sai Babu Veesam, Mudimela Madhusudhan, Palacharla Ravi Kumar, Pannangi Naresh, Yuvaraju Chinnam

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Automated Detection of Galactic Rings from Sloan Digital Sky Survey Images by Linn Abraham, Sheelu Abraham, Ajit K. Kembhavi, N. S. Philip, A. K. Aniyan, Sudhanshu Barway, Harish Kumar

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Real-Time Analytics and AI for Managing No-Show Appointments in Primary Health Care in the United Arab Emirates: Before-and-After Study by Yousif Mohamed AlSerkal, Naseem Mohamed Ibrahim, Aisha Suhail Alsereidi, Mubaraka Ibrahim, Sudheer Kurakula, Sadaf Ahsan Naqvi, Yasir Khan, Neema Preman Oottumadathil

“…ObjectiveThe objective of this study was to evaluate the impact of an artificial intelligence (AI)-driven solution that was integrated with an interactive real-time data dashboard on reducing no-show appointments and improving patient waiting times at the EHS PHCs. …”
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Prevalence, risk factors and associated ocular diseases of cerebral stroke: the population-based Beijing Eye Study by Jost B Jonas, Ya Xing Wang, Liang Xu, Wen Bin Wei

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Incidence, mortality, and global burden of retinoblastoma in 204 countries worldwide from 1990 to 2021: Data and systematic analysis from the Global Burden of Disease Study 2021 by Linyan Wang, Jianing Chen, Yunhan Shen, Grace Loy Ming Hooi, Shuohan Wu, Feng Xu, Hao Pei, Jianpeng Sheng, Tiansheng Zhu, Juan Ye

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Enhancing home-based physical activity for neurodivergent children: adapting the InPACT at Home program with AI and universal design by Tania Sapre, Haylie L. Miller, Anna Schwartz, Leah R. Ketcheson, Alanna Price, Kerry Winkelseth, Jeanne M. Barcelona, Ronald F. Zernicke, Ronald F. Zernicke, Rebecca E. Hasson

“…Our objective was to address this issue by systematically adapting the InPACT (Interrupting Prolonged sitting with ACTivity) at Home program to enable neurodivergent children to safely engage in physical activity at home.MethodsThe rapid-cycle research adaptation process involved several key steps: (1) sorting and grouping video content based on different types of skills and exercises (problem exploration); (2) assembling an expert team to guide the development of the instructions (knowledge exploration); and (3) using generative artificial intelligence (AI) to create concise instructions and cue words for each skill/exercise (solution development). …”
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Conservation in action: Cost-effective UAVs and real-time detection of the globally threatened swamp deer (Rucervus duvaucelii) by Ravindra Nath Tripathi, Karan Agarwal, Vikas Tripathi, Ruchi Badola, Syed Ainul Hussain

“…Uncrewed aerial vehicles (UAVs) have proven to be successful tools for ecological monitoring, providing excellent visual resolution and the ability to cover large areas with spatial accuracy. Artificial Intelligence has further improved the capabilities of UAVs vision through object detection. …”
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