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

“…In post-disaster search and rescue scenarios, the accurate image segmentation of individuals is essential for efficient resource allocation and effective rescue operations. …”
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A probabilistic approach for building disease phenotypes across electronic health records by David Vidmar, Jessica De Freitas, Will Thompson, John M. Pfeifer, Brandon K. Fornwalt, Noah Zimmerman, Riccardo Miotto, Ruijun Chen

“…In this paper, we develop multiple heuristic “labeling functions’’ (LFs) for 4 diseases across de-identified EHR data and aggregate their votes through a majority vote approach (MV), a popular open-source approach (Snorkel OSS), and our proposed probabilistic approach (LEVI). …”
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Classification analysis of modern bioreactor systems (review). Part 1. Classification of bioreactors by design parameters by A. A. Dosaev, R. R. Safarov, N. V. Menshutina

“…Due to the active use of bioreactors, in order to optimize production processes and reduce operating costs, new highly efficient automated devices with a variety of functions are being developed using modern automation technologies, artificial intelligence and 3-D printing. …”
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Deepmol: an automated machine and deep learning framework for computational chemistry by João Correia, João Capela, Miguel Rocha

“…On 22 benchmark datasets, DeepMol obtained competitive pipelines compared with those requiring time-consuming feature engineering, model design and selection processes. As one of the first AutoML tools specifically developed for the computational chemistry domain, DeepMol stands out with its open-source code, in-depth tutorials, detailed documentation, and examples of real-world applications, all available at https://github.com/BioSystemsUM/DeepMol and https://deepmol.readthedocs.io/en/latest/ . …”
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Evaluation of cubic voxel effects on dose calculation for Iridium-192 high dose rate using TOPAS particle simulation by Yacine El Attaoui, Zouhair Airouss, Aziz Oustous, Lhoucine Oufni

“…Radial function analysis showed consistent results, with 0.5 mm³ voxels deviating up to 1.78% near the source and 7% at greater distances. …”
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Mineral identification in thin sections using a lightweight and attention mechanism by Xin Zhang, Wei Dang, Jun Liu, Zijuan Yin, Guichao Du, Yawen He, Yankai Xue

“…Mineral identification is foundational to geological survey research, mineral resource exploration, and mining engineering. Considering the diversity of mineral types and the challenge of achieving high recognition accuracy for similar features, this study introduces a mineral detection method based on YOLOv8-SBI. …”
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Porous Carbon Fabricated by Microbial Pretreatment of Brewer’s Grain for the Improvement of Toluene Adsorption Performance by Jingxin Wang, Xiaohong Wang, Xiaoping Lin, Ziyi Yu, Davide Vione, Haomin Huang, Xiaohong Zhang, Yanhong Zhang, Jiaqi He, Yun Xia, Hansun Fang

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Integration of a hybrid vibration prediction model for railways into noise mapping software: methodology, assumptions and demonstration by Pieter Reumers, Geert Degrande, Geert Lombaert, David J. Thompson, Evangelos Ntotsios, Pascal Bouvet, Brice Nélain, Andreas Nuber

“…The user can select soil impedance and transfer functions from a database, pre-computed for a wide range of parameters with state-of-the-art models. …”
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CRISPR-Cas- and Aptamer-based Systems for Diagnosing Pathogens: A Review by Helin Yu, Wenwen Jing, Xunjia Cheng

“…Finally, we discuss Cas14-based tools as functionally stronger platforms for the detection of non-nucleic acid targets.…”
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Chronic Kidney Disease: Bridging Conventional Therapeutics and Emerging Molecular Innovations by Shao-feng Wang, Jie Gong, Hai-ying Zhang, Hao-jun Dai, Jin-jin Shi, Jing-wen Ling, Ke-qing Dong, Rosnani Hashim

“…The shortcomings of current approaches highlight the need for strategies to mitigate disease progression and restore renal function, particularly during the early phases of the disease. …”
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Chi-circ_0009659 modulates goat intramuscular adipocyte differentiation through miR-3431-5p/STEAP4 axis by Xin Li, Hao Zhang, Yong Wang, Yanyan Li, Youli Wang, Yan Xiong, Wei Liu, Yaqiu Lin

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A framework for personal protective equipment use in laboratories: regulatory compliance and employee protection by Segaran P. Pillai, Sarah Bradberry, Marisa Newcomer, Tanya Pittas, Kelsey Mathern

“…The Occupational Safety and Health Administration (OSHA) Personal Protective Equipment (PPE) Standard, outlined in 29 CFR 1910 Subpart I states that Protective gear - including personal protective clothing, respiratory equipment, and barriers or shields- must be supplied, properly used, and kept clean and functional whenever there are hazards present. These hazards may arise from processes, environmental conditions, chemicals, radiation, or mechanical sources that could potentially cause injury or harm bodily functions through skin contact, inhalation, or absorption. …”
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Sequential Inversion for Helicopter Time-Domain Electromagnetics Based on a Regularized Extended Kalman Filtering by Sirui Zhou, Jun Lin, Chuandong Jiang, Haigen Zhou, Yanzhang Wang

“…The helicopter time-domain electromagnetic method (HTEM) has been widely applied in challenging geological terrains, particularly in large-scale mineral exploration, underground water resource detection, and the selection of sites for underground engineering, due to its advantage of not requiring personnel to enter the detection area. …”
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Integrating Food Preference Profiling, Behavior Change Strategies, and Machine Learning for Cardiovascular Disease Prevention in a Personalized Nutrition Digital Health Interventio... by Hana Fitria Navratilova, Anthony David Whetton, Nophar Geifman

“…Intervention functions were designed using the Behavior Change Wheel, and behavior change techniques were selected for the DHI features. …”
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Generation of Spatial Structure of Urban Parks Based on Spatial Analysis of Agent-Based Models by Huizi KONG, Tianming LIU, Jiajie LIAO, Liu CUI

“…By adjusting model parameters, the foraging paths of slime molds in the designed site are simulated, and their spatial function distribution is analyzed. The simulation environment is based on multi-source data analysis and involves setting particle growth points, food locations, and environmental obstacles. …”
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Research on Buckwheat Weed Recognition in Multispectral UAV Images Based on MSU-Net by Jinlong Wu, Xin Wu, Ronghui Miao

“…The neuron death caused by the original ReLU activation function may lead to misidentification, so it was replaced by the Swish function to improve the adaptability to complex inputs. …”
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Logistical constraints lead to an intermediate optimum in outbreak response vaccination. by Yun Tao, Katriona Shea, Matthew Ferrari

“…The latter may also result in significantly larger outbreaks, thus suggesting a benefit of allocating resources to timely outbreak detection and response.…”
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RDM-YOLO: A Lightweight Multi-Scale Model for Real-Time Behavior Recognition of Fourth Instar Silkworms in Sericulture by Jinye Gao, Jun Sun, Xiaohong Wu, Chunxia Dai

“…Additionally, the minimum point distance intersection over union (MPDIoU) loss function is proposed to enhance bounding box regression efficiency, mitigating challenges posed by overlapping targets and positional deviations. …”
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Boundary-enhanced dual-stream network for semantic segmentation of high-resolution remote sensing images by Xinghua Li, Linglin Xie, Caifeng Wang, Jianhao Miao, Huanfeng Shen, Liangpei Zhang

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Lightweight deep learning system for automated bone age assessment in Chinese children: enhancing clinical efficiency and diagnostic accuracy by Pang Hai, Zhang Bin, Liu Kesheng, Li Cong, Xu Fei

“…In the first stage, the YOLOv8 algorithm precisely localizes 13 key epiphyses in hand radiographs, achieving a mean Average Precision (mAP) of 99.5% at Intersection over Union (IoU) = 0.5 and 94.0% within IoU 0.5–0.95, demonstrating robust detection performance. The second stage employs a modified EfficientNetB3 architecture for fine-grained epiphyseal grade classification, enhanced by the Rectified Adam (RAdam) optimizer and a composite loss function combining center loss and weighted cross-entropy to mitigate class imbalance. …”
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