Research on Personnel Image Segmentation Based on MobileNetV2 H-Swish CBAM PSPNet in Search and Rescue Scenarios by Di Zhao, Weiwei Zhang, Yuxing Wang

“…By substituting ResNet50 with the more efficient MobileNetV2 as the model backbone, the computational complexity is significantly reduced. …”
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Loading scaffold-mediated multiple signal cycle for ultrasensitive microRNA analysis with low background signal by Zhe Zhang, Qiaoyi Xie, Chenbo Zhu, Huali Shao, Boying Wu

“…Furthermore, the incorporation of four signal amplification cycles confers substantial amplification efficiency, permitting accurate detection of low-abundance miRNAs. …”
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Automated Quantification of Rebar Mesh Inspection in Hidden Engineering Structures via Deep Learning by Yalong Xie, Xianhui Nie, Hongliang Liu, Yifan Shen, Yuming Liu

“…This paper presents an in-depth study of the automated recognition and geometric information quantification of rebar meshes, proposing a deep learning-based method for rebar mesh detection and segmentation. By constructing a diverse rebar mesh image dataset, an improved Unet-based model was developed, incorporating residual modules to enhance the network’s feature extraction capabilities and training efficiency. …”
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YOLOv8 forestry pest recognition based on improved re-parametric convolution by Lina Zhang, Shengpeng Yu, Bo Yang, Shuai Zhao, Ziyi Huang, Zhiyin Yang, Helong Yu

“…Enhancing the efficiency and accuracy of pest detection under resource-limited conditions has thus become a critical issue. …”
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Active Hard Sample Learning for Violation Action Recognition in Power Grid Operation by Lingwen Meng, Di He, Guobang Ban, Guanghui Xi, Anjun Li, Xinshan Zhu

“…Experimental results show significant improvements in model performance and training efficiency, demonstrating the method’s effectiveness in complex power grid environments. …”
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Research progress,key scientific issues,and prospects of segmented fracturing and pressure relief gas drainage technology for coal seam roof horizontal wells by Ke YANG, Zhainan ZHANG, Xinzhu HUA, Wenjie LIU, Xin LYU, Xiaolou CHI, Changcheng WANG, Caiqing LI

“…The segmented fracturing and pressure relief gas drainage technology in the horizontal well of the coal seam roof is a key means to guide the efficient gas extraction in deep, high gas, soft and low permeability coal seams.Based on this, a full lifecycle development concept for the segmented fracturing, pressure relief,and gas drainage engineering of the coal seam roof horizontal well is proposed, including three stages: early scientific planning, mid-term engineering construction, and later safety management.This paper summarizes the research progress on the full life cycle development of segmented fracturing and pressure relief gas drainage in coal seam roof horizontal wells, constructs an overall research framework for key scientific issues related to segmented fracturing and pressure relief gas drainage in coal seam roof horizontal wells, and looks forward to its future development direction.The results show that the expansion of segmented fracturing cracks in the horizontal well of the coal seam roof is extremely complex due to geological factors, construction parameters, and physical properties.It is urgent to comprehensively evaluate the primary and secondary relationships under the influence of multiple factors in crack expansion, and reveal the mechanism of coal seam roof fracturing crack expansion under the influence of multiple factors.Exploring the critical relationship between the coupling of stress, water, temperature, and coal factors on the promotion and inhibition of coalbed methane adsorption, desorption, and migration, and establishing an optimal model for coalbed methane adsorption and desorption under multiple critical indicators, is the key to achieving efficient coalbed methane extraction. …”
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Min3GISG: A Synergistic Feature Selection Framework for Industrial Control System Security with the Integrating Genetic Algorithm and Filter Methods by Saiprasad Potharaju, Swapnali N. Tambe, G. Madhukar Rao, M. V. V. Prasad Kantipudi, Kalyan Devappa Bamane, Mininath Bendre

“…By reducing feature dimensionality without compromising accuracy, the proposed method enhances ICS security, offering a scalable and efficient solution for real-time attack detection.…”
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Study of component features of essential oils of <i>Rosmarinus officinalis</i> and <i>Salvia sclarea</i> of Crimean origin by R. E. Ermachenkov, A. L. Markov, M. M. Agaev, E. V. Burtseva, I. I. Terninko

“…The essential oils were analysed on the software and hardware complex of the gas chromatograph "Crystal 5000.2" with flame ionisation detection. …”
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Federated learning and GWO-enabled consumer-centric healthcare internet of things for pancreatic tumour by Nuha Alruwais, Ghada Moh. Samir Elhessewi, Muhammad Kashif Saeed, Menwa Alshammeri, Othman Alrusaini, Abdulwhab Alkharashi, Samah Al Zanin, Yahia Said

“…In order to get a correct diagnosis and choose the best treatment options before it becomes deadly, early detection and classification of pancreatic tumours are essential. …”
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Development of a fluorophilic ion-exchange material with dual binding mechanism for solid-phase extraction of PFAS by Johanna Freilinger, Jan O. Back, Raphael Plangger, Herwig Schottenberger, Christian W. Huck, Marco Rupprich, Rania Bakry

“…This has created challenges in PFAS detection, leading to an urgent need for reliable and selective solid-phase extraction (SPE) materials for PFAS analysis. …”
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Application of time series database technology in coal mine safety monitoring system by Hongliang ZHANG

“…Traditional relational databases are unable to meet the high concurrency and high stability monitoring requirements of complex underground environments due to issues such as insufficient write throughput, low storage efficiency, and real-time query latency. …”
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DMoC-UNet: A Dynamic Mixture-of-Convolution Network for Enhanced Pathological Image Segmentation by Jingwei Zhu, Lining Qin, Zixin Teng, Xiaomin Li, Kuiwu Li, Haoran Chu

“…Pathological image segmentation is a cornerstone in medical image analysis and is crucial for tumor detection, tissue classification, and pathological diagnosis. …”
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Gross Tonnage-Based Statistical Modeling and Calculation of Shipping Emissions for the Bosphorus Strait by Kaan Ünlügençoğlu

“…Maritime transportation is responsible for most global trade and is generally considered more environmentally efficient compared to other modes of transport, particularly for long-distance trade. …”
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Wide-Field High-Speed Scanning Acoustic/Photoacoustic Microscopy for Whole-Body Imaging of Small Animals by Joongho Ahn, Hyoseok Choi, Seongjun Lim, Jin Young Kim, Jeongwoo Park

“…Photoacoustic (PA) imaging combines optical contrast with ultrasound (US) detection, enabling high-resolution imaging of biological tissues with greater penetration depth than conventional optical techniques. …”
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Nonlocal Huygens’ meta-lens for high-quality-factor spin-multiplexing imaging by Jin Yao, Yubin Fan, Yunhui Gao, Rong Lin, Zhihui Wang, Mu Ku Chen, Shumin Xiao, Din Ping Tsai

“…Abstract Combining bright-field and edge-enhanced imaging affords an effective avenue for extracting complex morphological information from objects, which is particularly beneficial for biological imaging. …”
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River Channel Microgeomorphic Feature Extraction and Potential Sandstorm Source Identification Method Based on a Convolutional Autoencoder Model by Kecong Wu, Lirong Chen, Yalige Bai, Xinhang Wang, Danzeng Pingcuo, Zhongpeng Han, Chengshan Wang

“…It addresses the challenges of spatiotemporal feature extraction in complex geographical environments, and the identification of potential wind-blown sand sources in river channels. …”
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NDL-Net: A Hybrid Deep Learning Framework for Diagnosing Neonatal Respiratory Distress Syndrome From Chest X-Rays by Malik Muhammad Arslan, Xiaodong Yang, Nan Zhao, Lei Guan, Tao Cui, Daniyal Haider

“…<italic>Results:</italic> The architecture combines MobileNetV3 Large for efficient image processing and ResNet50 for detecting complex patterns essential for NRDS identification. …”
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Potable water boiling can induce havoc in the water quality management arena due to the presence of microplastics by Renjith VishnuRadhan, Shagnika Das, Camille Hennion, T.I. Eldho, Anil Lonappan

“…Around 30 % of the world’s population lacks access to safe water despite being a critical factor that modulates the complex dynamics of ecosystems and societies. Efficient technologies to purify water to potable form are either inaccessible or economically not viable for the majority. …”
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Integrative Transcriptomic and Target Metabolite Analysis as a New Tool for Designing Metabolic Engineering in Yeast by Alejandro Lopez-Barbera, Nerea Abasolo, Helena Torrell, Nuria Canela, Salvador Fernández-Arroyo

“…The selection of target sites to edit using CRISPR/Cas9 can be complex, resulting in non-controlled consequences. …”
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A Blockchain-Based Architecture of Web3.0: A Comprehensive Decentralized Model With Relay Nodes, Unique IDs and P2P by Hyunjoo Yang, Sejin Park

“…When faced with malicious requests, the system significantly reduces verification latency to an average of 0.0106 ms, ensuring rapid rejection and preserving network stability, while legitimate requests are processed efficiently with an average latency of 0.4125 ms.Experiments comparing latency-based and random-based relay selection methods across various network configurations (public-public, public-private, private-private) demonstrate that latency-based selection optimizes connection setup times in low-latency environments, while random-based selection provides robust performance in complex network scenarios. …”
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