Design and Application of Algorithm Intensive Environment for CMA Big Data and Cloud Platform by Huo Qing, He Wenchun, He Lin, Gao Feng, Chen Shiwang, Xu Yongjun

“…At the same time, based on the meteorological business comprehensive monitoring system (referred to as Tianjing) enables automatic collection of algorithm operation status and detection of abnormal alarms. …”
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Current status and prospects of mining technology in metal mines by Liancheng WANG, Anlin SHAO, Fuming QU, Xingtong YUE, Huaiyuan WANG, Xingfan ZHANG, Xiaobo LIU

“…This gap is particularly noticeable in ultra-deep mining, where practical experience is especially lacking. (2) Future mining technologies that require urgent attention can be categorized into four types based on their criticality and urgency: bottleneck technologies, foundational technologies, urgent technologies, and forward-looking technologies. (3) The current “bottleneck” technical challenges facing China’s mining sector include the development of intelligent and unmanned technologies for open-pit mining, advanced deep mining technologies for underground operations, and the research and application of specialized mining software. (4) The urgent technologies identified in this study include precise detection and safety management technologies for goaf areas, ultra-large-scale filling mining technologies for metallic mines, and intelligent ore grade detection technologies. (5) Foundational technologies encompass rock mechanics modeling for deep mining, multi-scale fracture simulation processes under geothermal system rock–hydraulic coupling, and dynamic control theories for managing disasters associated with deep mining activities. (6) Forward-looking technologies include a range of innovations, such as new transportation technologies for deep open-pit mines, advanced deep-well lifting techniques, novel efficient rock-breaking technologies, integrated mining and beneficiation technologies, co-extraction methods for both mineral and geothermal resources, and fluidized mining techniques for metallic minerals. …”
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A fine tuned EfficientNet-B0 convolutional neural network for accurate and efficient classification of apple leaf diseases by Hassan Ali, Noora Shifa, Rachid Benlamri, Aitazaz A. Farooque, Raziq Yaqub

“…Abstract Precise classification and detection of apple diseases are essential for efficient crop management and maximizing yield. …”
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Designing an intervention to improve cognitive evaluations in primary care by Kyra S. O’Brien, Kristin Harkins, MaryAnne Peifer, Melanie Kleid, Cameron Coykendall, Judy Shea, Jason Karlawish, Robert E. Burke

“…For some patients, early detection of cognitive impairment enables access to disease-modifying therapies. …”
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Unsupervised semantic label generation in agricultural fields by Gianmarco Roggiolani, Julius Rückin, Marija Popović, Jens Behley, Cyrill Stachniss, Cyrill Stachniss

“…We use the rows previously detected to identify multiple crop rows, reducing labeling errors and improving consistency. …”
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Attention-based integrated deep neural network architecture for predicting the effectiveness of data center power usage by Yang-Cheng Shih, Sathesh Tamilarasan, Chin-Sheng Chen, Omid Ali Zargar, Yean-Der Kuan

“…Crucially, this breakthrough fosters sustainability in energy management, promoting greener DC operations through precise energy use predictions, leading to substantial energy savings and reduced carbon emissions, in alignment with global sustainability objectives.…”
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The Role of ctDNA for Diagnosis and Histological Prediction in Early Stage Non-Small-Cell Lung Cancer: A Narrative Review by Carolina Sassorossi, Jessica Evangelista, Alessio Stefani, Marco Chiappetta, Antonella Martino, Annalisa Campanella, Elisa De Paolis, Dania Nachira, Marzia Del Re, Francesco Guerrera, Luca Boldrini, Andrea Urbani, Stefano Margaritora, Angelo Minucci, Emilio Bria, Filippo Lococo

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Satellite-Based Assessment of Rocket Launch and Coastal Change Impacts on Cape Canaveral Barrier Island, Florida, USA by Hyun Jung Cho, Daniel Burow, Kelly M. San Antonio, Matthew J. McCarthy, Hannah V. Herrero, Yao Zhou, Stephen C. Medeiros, Calvin D. Colbert, Craig M. Jones

“…The results indicate vegetation cover changes, including mangrove expansion in wetland areas and the conversion of coastal strands to denser scrubs and hardwood forests, which were likely influenced by mild winters and fire management. While detectable impacts of rocket launches on nearby vegetation were observed, they were less severe than those caused by solid rocket motors. …”
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Deceptive Cyber-Resilience in PV Grids: Digital Twin-Assisted Optimization Against Cyber-Physical Attacks by Bo Li, Xin Jin, Tingjie Ba, Tingzhe Pan, En Wang, Zhiming Gu

“…This research provides a scalable and adaptive cybersecurity framework that can be applied to future renewable energy systems, ensuring grid security, operational stability, and sustainable energy management under adversarial conditions.…”
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SPYDER: QoS-Aware Radio Resource Allocation in Multiuser ISAC-Capable C-V2X Networks by Syed Najaf Haider Shah, Aamir Ullah Khan, Christian Schneider, Joerg Robert

“…A key innovation of our approach is the introduction of a sparse random pattern yielding dynamic interleaving (SPYDER) based OFDM grid, which employs non-uniform interleaving of OFDM symbols and subcarriers to support high-resolution radar sensing while reducing resource overhead for communication operations. Since SPYDER adopts a non-uniform TF interleaved OFDM grid, it may experience multiuser resource overlapping that could degrade radar detection performance. …”
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Tracking Poultry Drinking Behavior and Floor Eggs in Cage-Free Houses with Innovative Depth Anything Model by Xiao Yang, Guoyu Lu, Jinchang Zhang, Bidur Paneru, Anjan Dhungana, Samin Dahal, Ramesh Bahadur Bist, Lilong Chai

“…In this study, we assess DAM’s ability to monitor poultry behavior, specifically detecting drinking patterns. We also evaluate its effectiveness in managing operations, such as tracking floor eggs. …”
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Incidental ventral gallbladder herniation in an asymptomatic patient: A case report by Rasha Arekat, Yazan Dibas

“…Given the lack of clinical complications, a conservative, non-operative management approach was chosen. This case highlights the importance of identifying gallbladder herniation in patients with a history of abdominal surgeries as well as the critical function of imaging in its identification. …”
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Large-Scale Monitoring of Potatoes Late Blight Using Multi-Source Time-Series Data and Google Earth Engine by Zelong Chi, Hong Chen, Sheng Chang, Zhao-Liang Li, Lingling Ma, Tongle Hu, Kaipeng Xu, Zhenjie Zhao

“…Effective monitoring and management of potato late blight (PLB) is essential for sustainable agriculture. …”
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Krebs von den Lungen-6 surveillance in immune checkpoint inhibitor-induced pneumonitis by Isamu Okamoto, Kazuya Tsubouchi, Ryosuke Matsukane, Shoji Nakamura, Haruna Minami, Yasuto Yoneshima, Kojiro Hata, Sai Yasukochi, Kimitaka Suetsugu, Takeshi Hirota

“…In patients with NSCLC, the significance of KL-6 monitoring is limited as it is not effective for detecting ICI-induced pneumonitis; their treatment is typically managed by pulmonary specialists. …”
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Miniaturized Devices for Isothermal Amplification and Photometric Quantification of Pseudomonas Aeruginosa by P Ramya Priya, Satish Kumar Dubey, Sanket Goel

“…<italic>Methods:</italic> The researchers conducted the amplification process within a microchamber with a diameter of 10 mm, utilizing a standalone Thermostat driven thermal management setup. RPA, an amplification technique was employed, which required a lower operating temperature of 37 &#x00B0;C&#x2013;40 &#x00B0;C to complete the reaction. …”
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Enhancing safety with an AI-empowered assessment and monitoring system for BSL-3 facilities by Yi-Ling Fan, Ching-Han Hsu, Ju-Yu Wu, Ying-Ying Tsai, Wei J. Chen, Min-Shi Lee, Fang-Rong Hsu, Lun-De Liao

“…We trained the internal management system on 3347 images, achieving 90 % accuracy and 85 % recall. …”
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Visual recognition of honeybee behavior patterns at the hive entrance. by Tomyslav Sledevič, Artūras Serackis, Dalius Matuzevičius, Darius Plonis, Gabriela Vdoviak

“…The system effectively detects multiple bee activities such as foraging, fanning, washboarding, and defense, achieving a mean detection accuracy of 98% and operating at speeds of up to 36 fps, surpassing state-of-the-art methods in both speed and accuracy. …”
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Landslide susceptibility assessment based on an interpretable coupled FR-RF model: A case study of Longyan City, Fujian Province, Southeast China by Zong-yue Lu, Gen-yuan Liu, Xi-dong Zhao, Kang Sun, Yan-si Chen, Zhi-hong Song, Kai Xue, Ming-shan Yang

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Surveillance and analysis of microbial contamination in commercially available ready-to-eat foods in Songjiang District， Shanghai from 2017 to 2022 by QIU Xiang, ZHU Yuxing, GU Xinyi, SHENG Fengsong, JIANG Yuanqiang

“…Salmonella, Listeria monocytogenes, Vibrio parahaemolyticus, Staphyloccus aureus and Bacillus cereus were detected according to the standard operating procedures in the Manual for China National Food Contamination and Harmful Factors Risk Monitoring, and which were determined with reference to relevant standards.ResultsA total of 77 samples were found to carry foodborne pathogens, with a total detection rate of 8.73%. …”
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Role of artificial intelligence in medical radiology and imaging by Mohd Arfat, T. K. Nisha, Sapna Sahu, Mohd Rashid

“…In veterinary radiation oncology, AI facilitates collaboration, standardization of data, and the creation of standard operating procedures. Early disease detection, enabled by AI, is essential for initiating treatments that can improve patient outcomes and prognosis. …”
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