Rapid urban health security assessment tool: a new resource for evaluating local-level public health preparedness by Rebecca Katz, Matthew R Boyce

“…Plans and policies for responding to public health emergencies are generally framed at higher levels of governance, but developing, improving and sustaining the capacities necessary for implementing these policies is a direct function of local-level authorities. Evaluating local-level public health capacities is an important process for identifying strengths and weaknesses that can impact the preparedness for, detection of and response to health security threats. …”
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fMRI BOLD and MEG theta power reflect complementary aspects of activity during lexicosemantic decision in adolescents with ASD by M. Wilkinson, R.J. Jao Keehn, A.C. Linke, Y. You, Y. Gao, K. Alemu, A. Correas, B.Q. Rosen, J.S. Kohli, L. Wagner, A. Sridhar, K. Marinkovic, R.-A. Müller

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Signal Processing in Passive Radar Systems Using 5G: A Simulation Study by Van Tuan Nguyen, V. M. Kutuzov, E. N. Vorobev

“…The calculation of the cross-ambiguity function of the passive radar using the 5G signal was carried out by computer simulation.Results. …”
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Survey on key technologies for protective DNS service by MA Yongzheng, LI Hongtao, MA Zhongsheng, HU Weihong, ZHANG Zhongxian

“…The domain name system (DNS) is a naming service for Internet resources that provides the function of converting from domain names to IP addresses. …”
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MeStanG—Resource for High-Throughput Sequencing Standard Data Sets Generation for Bioinformatic Methods Evaluation and Validation by Daniel Ramos Lopez, Francisco J. Flores, Andres S. Espindola

“…Metagenomics analysis has enabled the measurement of the microbiome diversity in environmental samples without prior targeted enrichment. Functional and phylogenetic studies based on microbial diversity retrieved using HTS platforms have advanced from detecting known organisms and discovering unknown species to applications in disease diagnostics. …”
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A Census of the TW Hya Association with Gaia by K. L. Luhman

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TEDVIL: Leveraging Transformer-Based Embeddings for Vulnerability Detection in Lifted Code by Gary A. McCully, John D. Hastings, Shengjie Xu

“…Notably, these results are achieved when the embedding model is trained with a dataset of just 48,000 functions, demonstrating effectiveness in resource-constrained settings. …”
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Comparative Analysis of Deep Learning Models for Intrusion Detection in IoT Networks by Abdullah Waqas, Sultan Daud Khan, Zaib Ullah, Mohib Ullah, Habib Ullah

“…However, the constrained processing capacities and resource limitations of IoT networks make them especially susceptible to cyber threats. …”
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Advances in the detection of virulence genes of Staphylococcus aureus originate from food by Yingying Zhao, Dandan Xia, Panpan Ma, Xiaofeng Gao, Wenyi Kang, Jinfeng Wei

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Improving dependability with low power fault detection model for skinny-hash. by Sonal Arvind Barge, Gerardine Immaculate Mary

“…Two fault detection approaches are proposed to detect faults in cryptographic algorithms running on IoT devices. …”
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A Route to the Colorimetric Detection of Alpha-Fetoprotein Based on a Smartphone by Junjie Liu, Qingfubo Geng, Zhaoxin Geng

“…Alpha-fetoprotein (AFP) is a key marker for early cancer detection and assessment. However, the current detection methods struggle to balance accuracy with the need for decentralized medical treatment. …”
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Interpretable Chinese Fake News Detection With Chain-of-Thought and In-Context Learning by Bingyi Liu, Anqi Wang, Chengqian Xia

“…The spread of fake news through on-line platforms poses a significant threat to public trust and social stability, especially in resource-constrained Chinese domains. Existing Fake News Detection (FND) models often lack transparency, functioning as “black boxes” that limit their practical utility. …”
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Water quality anomaly detection research based on GRU-PINN model by Zhao Xinyu

“…Maintaining high-quality water resources is essential for sustainable urban water resource management and public health. …”
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Optimization of train obstacle detection based on zone media controller unit by ZHOU Liming, HU Jiaqiao, SHEN Tuo

“…In addition, the need for comprehensive train detection including pantograph-catenary systems and running gears, lead to an increased number of on-board devices, resulting in fewer computational resources available for each detection system, and complicating equipment installation and maintenance. …”
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Study on lightweight strategies for L-YOLO algorithm in road object detection by Ji Hong, Kuntao Ye, Shubin Qiu

“…The demand for real-time, efficient object detection systems is growing. However, traditional algorithms often suffer from large parameter sizes and high computational costs, limiting their applicability in resource-constrained environments. …”
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SR-DETR: Target Detection in Maritime Rescue from UAV Imagery by Yuling Liu, Yan Wei

“…These outcomes highlight the practicality and reliability of our method in detecting individuals overboard, contributing to more precise and resource-efficient solutions for real-time maritime rescue efforts.…”
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SWMD-YOLO: A Lightweight Model for Tomato Detection in Greenhouse Environments by Quan Wang, Ye Hua, Qiongdan Lou, Xi Kan

“…This study proposes SWMD-YOLO, a lightweight multi-scale detection network optimized for greenhouse scenarios. …”
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RipFinder: real-time rip current detection on mobile devices by Fahim Khan, Akila de Silva, Ashleigh Palinkas, Gregory Dusek, James Davis, Alex Pang

“…To address this, we propose a client-server ML model-based computer vision system designed specifically to improve rip current detection accuracy. This novel approach enables the app to function with or without internet connectivity, proving particularly beneficial in regions without lifeguards or internet access. …”
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Ultra-sensitive terahertz photonic crystal fiber sensor for detection of tuberculosis by Md. Safiul Islam, A.H.M. Iftekharul Ferdous, Abdullah Al Mamun, Md. Shamim Anower, Md. Jakir Hossen, Syed Udoy Ahmed

“…This sensing unit under consideration can function within the terahertz frequency range. Consequently, it serves as a valuable resource for healthcare providers, enhancing their diagnostic capabilities for prompt treatment and improved patient outcomes. …”
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Pavement Disease Visual Detection by Structure Perception and Feature Attention Network by Bin Lv, Shuo Zhang, Haixia Gong, Hongbo Zhang, Bin Dong, Jianzhu Wang, Cong Du, Jianqing Wu

“…Balancing detection performance and computational efficiency is critical for sustainable pavement disease detection in energy-constrained scenarios. …”
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