Internet of Things Assisted Plant Disease Detection and Crop Management Using Deep Learning for Sustainable Agriculture by Eman A. Al-Shahari, Ghadah Aldehim, Mohammed Aljebreen, Jehad Saad Alqurni, Ahmed S. Salama, Sitelbanat Abdelbagi

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Spontaneous blinking and brain health in aging: Large-scale evaluation of blink-related oscillations across the lifespan by Sujoy Ghosh Hajra, Jed A. Meltzer, Prerana Keerthi, Chloe Pappas, Allison B. Sekuler, Cam-CAN Group, Careesa Chang Liu

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Research on wireless monitoring system for internal temperature field of coal gangue mountain by Xiaofei Liu, Chunhao Liang, Jifa Qian, Xiaolin Li, Xuemei Li, Baoli Li, Guang Xu, Bin Zhou

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A multidimensional Bayesian IRT method for discovering misconceptions from concept test data by Martin Segado, Aaron Adair, John Stewart, Yunfei Ma, Byron Drury, David Pritchard

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The relationship between autonomy, optimism, work engagement and organisational citizenship behaviour among nurses fighting COVID-19 in Wuhan: a serial multiple mediation by Yang Liu, Hui Zhang, Yi Zhao, Leiwen Tang, Jing Shao, Zhihong Ye, Dandan Chen, Ping Zou, Shuanghong Lin

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End-to-End Framework for Identifying Vulnerabilities of Operational Technology Protocols and Their Implementations in Industrial IoT by Matthew Boeding, Michael Hempel, Hamid Sharif

“…Initially, protocol specifications are modeled to identify any vulnerable states within the protocol, leveraging the Construction and Analysis of Distributed Processes (CADP) software (version 2022-d “Kista”, which was created by Inria, the French Institute for Research in Computer Science and Automation, in France). Device characteristics are then extracted through automated real-time network emulation tests built on the OMNET++ framework, and all measured device characteristics are then used as a virtual device representation for network simulation tests within the OMNET++ software (version 6.0.1., a public-soucre, open-architecture software, initially developed by OpenSim Limited in Budapest, Hungary), to verify the presence of any potential vulnerabilities identified in the formal modeling stage. …”
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Innovative Diversity Metrics in Hierarchical Population‐Based Differential Evolution for PEM Fuel Cell Parameter Optimization by Mohammad Khishe, Pradeep Jangir, Arpita, Sunilkumar P. Agrawal, Sundaram B. Pandya, Anil Parmar, Laith Abualigah

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Combining extraction and cultivation methods for soil seed bank analysis increases number of captured species and their similarity to above-ground vegetation by Petr Plohák, Hana Švehláková, Barbara Stalmachová, Miroslava Goňo, Tomáš Dvorský

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Enhanced multiscale human brain imaging by semi-supervised digital staining and serial sectioning optical coherence tomography by Shiyi Cheng, Shuaibin Chang, Yunzhe Li, Anna Novoseltseva, Sunni Lin, Yicun Wu, Jiahui Zhu, Ann C. McKee, Douglas L. Rosene, Hui Wang, Irving J. Bigio, David A. Boas, Lei Tian

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Unveiling user identity across social media: a novel unsupervised gradient semantic model for accurate and efficient user alignment by Yongqiang Peng, Xiaoliang Chen, Duoqian Miao, Xiaolin Qin, Xu Gu, Peng Lu

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Enhancing climate resilience: A data-driven north rift weather prediction system for real-time forecasting and agricultural decision support by John W. Makokha, Peter W. Barasa, Geoffrey W. Khamala

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Social media warfare: investigating human-bot engagement in English, Japanese and German during the Russo-Ukrainian war on Twitter and Reddit by Wentao Xu, Kazutoshi Sasahara, Jianxun Chu, Bin Wang, Wenlu Fan, Zhiwen Hu

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Development of tolerance to bedaquiline by overexpression of trypanosomal acetate: succinate CoA transferase in Mycobacterium smegmatis by Gloria Mavinga Bundutidi, Kota Mochizuki, Yuichi Matsuo, Mizuki Hayashishita, Takaya Sakura, Yuri Ando, Gregory Murray Cook, Acharjee Rajib, Frédéric Bringaud, Michael Boshart, Shinjiro Hamano, Masakazu Sekijima, Kenji Hirayama, Kiyoshi Kita, Daniel Ken Inaoka

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Design of an Improved Method for Visual Rendering in the Metaverse Using CIEM and MSRANet by Janapati Venkata Krishna, Priyanka Singh, Regonda Nagaraju, Setti Vidya Sagar Appaji, Attuluri Uday Kiran, K. Spandana

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Empowering nurse leaders: readiness for AI integration and the perceived benefits of predictive analytics by Mohamed Hashem Kotp, Hossam Ali Ismail, Hassan Ahmed Awad Basyouny, Mohamed Ahmed Aly, Abdelaziz Hendy, Abdulqadir J. Nashwan, Ahmed Hendy, Aliaa Ezz Eldin Abd Elmoaty

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Approximation-Aware Training for Efficient Neural Network Inference on MRAM Based CiM Architecture by Hemkant Nehete, Sandeep Soni, Tharun Kumar Reddy Bollu, Balasubramanian Raman, Brajesh Kumar Kaushik

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Accurate Spatial Heterogeneity Dissection and Gene Regulation Interpretation for Spatial Transcriptomics using Dual Graph Contrastive Learning by Zhuohan Yu, Yuning Yang, Xingjian Chen, Ka‐Chun Wong, Zhaolei Zhang, Yuming Zhao, Xiangtao Li

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Thermodynamics and solar radiative analysis in Jeffery-Hamel flow through non-parallel channel by novel improved residual power series method by Mohamed Bouzidi, Mohsin Ul Haq, Ikram Ullah, Saira Shukat, Hijaz Ahmad, Mohammad Mahtab Alam, Hamid Khan, Marouan Kouki

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A deep learning ICDNET architecture for efficient classification of histopathological cancer cells using Gaussian noise images by Hui Zong, Wenlong An, Xin Chen, Zhanhui Yang, Heng Zhou, Xiangchao Liu, Jianchu Lin, Chuanyue Zong

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Annotation-free deep learning algorithm trained on hematoxylin & eosin images predicts epithelial-to-mesenchymal transition phenotype and endocrine response in estrogen receptor-po... by Kaimin Hu, Yinan Wu, Yajing Huang, Meiqi Zhou, Yanyan Wang, Xingru Huang

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