SSMM-DS: A semantic segmentation model for mangroves based on Deeplabv3+ with swin transformer by Zhenhua Wang, Jinlong Yang, Chuansheng Dong, Xi Zhang, Congqin Yi, Jiuhu Sun

“…We then employed Swin Transformer as the backbone network, enhancing the capability of global information learning and detail feature extraction. Finally, we optimized the loss function by combining cross-entropy loss and dice loss, addressing the issue of sampling imbalance caused by the small areas of mangroves. …”
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Bayesian inference for peak feature extraction and prediction of material property in X-ray diffraction data by Ryo Murakami, Taisuke T. Sasaki, Hideki Yoshikawa, Yoshitaka Matsushita, Keitaro Sodeyama, Tadakatsu Ohkubo, Hiroshi Shinotsuka, Kenji Nagata

“…To advance the development of materials through data-driven scientific methods, appropriate methods for building machine learning (ML)-ready feature tables from measured and computed data must be established. …”
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A high-precision edge detection technique for magnetic anomaly signals based on a self-attention mechanism by Ju Haihua, Wang Li, Yang Jie, Liu Gaochuan, Xia Zhong, Jiao Jian, Zhang Le, Dai Bo

“…Meanwhile, an edge-enhanced loss function is introduced to further strengthen the model’s ability to extract boundary information. …”
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Perspectives and Tools in Liver Graft Assessment: A Transformative Era in Liver Transplantation by Kawthar Safi, Angelika Joanna Pawlicka, Bhaskar Pradhan, Jan Sobieraj, Andriy Zhylko, Marta Struga, Michał Grąt, Alicja Chrzanowska

“…Advances in perfusion techniques are improving graft preservation and function, particularly for donation after circulatory death (DCD) grafts. …”
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Modeling seismic hazard and landslide occurrence probabilities in northwestern Yunnan, China: exploring complex fault systems with multi-segment rupturing in a block rotational tec... by J. Cheng, C. Xu, X. Xu, S. Zhang, P. Zhu

“…Furthermore, we utilized PGA values with the Bayesian probability method and a machine learning model to predict landslide occurrence probabilities as a function of our PGA distribution map. …”
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Technological Resources and Problem-Solving Methods to Foster a Positive Attitude Toward Formative Research in Engineering Students by Ronald Paucar-Curasma, Klinge Orlando Villalba-Condori, Sara Hermelinda Gonzales-Agama, Freddy Toribio Huayta-Meza, David Rondon, Ninna Nyberg Sapallanay-Gomez

“…Formative research, within the context of the pedagogical function of research, employs investigative teaching methods and practices commonly used in universities. …”
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An Improved YOLOv8 Model for Detecting Four Stages of Tomato Ripening and Its Application Deployment in a Greenhouse Environment by Haoran Sun, Qi Zheng, Weixiang Yao, Junyong Wang, Changliang Liu, Huiduo Yu, Chunling Chen

“…Further, Shape_IoU replaced CIoU as the loss function, prioritizing bounding box shape and size for improved detection accuracy. …”
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A Gravity Data Denoising Method Based on Multi-Scale Attention Mechanism and Physical Constraints Using U-Net by Bing Liu, Houpu Li, Shaofeng Bian, Chaoliang Zhang, Bing Ji, Yujie Zhang

“…Furthermore, a Laplace consistency constraint is introduced into the loss function to enhance denoising performance and physical interpretability. …”
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GENOME POLITICS: STRATEGY AND TACTICS by Jonas Rubikas

“…Genome controls directly or indirectly all human functions: body structure, physiology. Human mental and consciousness activity, brain functions obtained by learning mask the dependence of these activities on the genome. …”
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BCDnet: Parallel heterogeneous eight-class classification model of breast pathology. by Qingfang He, Guang Cheng, Huimin Ju

“…After the information output by the fully connected layer of the two convolutional bases is fused, it is classified and output by the SoftMax function. The model experiment uses the publicly available BreaKHis data set. …”
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Untethered Autonomous Holonomic Mobile Micromanipulator for Operations in Isolated Confined Spaces by Ryosuke Kinoshita, Rintaro Minegishi, Chihiro Sekine, Yohei Tsukui, Yuta Sunohara, Yuko Nishimura, Shogen Sekiguchi, Ohmi Fuchiwaki

“…The micromanipulator can autonomously position a single object with a positioning error of 0.18 ± 0.51 mm and an angular deviation of −0.4° ± 1.2°, utilizing image recognition, machine learning, and visual feedback. Moreover, the micromanipulator is verified to function in extreme conditions that simulate draft chambers and clean benches, where it successfully performs circuit mounting in confined space. …”
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Chamber shape optimization for ultra-high-pressure water-jet nozzle based on computational fluid dynamics method and a data-driven surrogate model by Wen-Tao Zhao, Zheng-Shou Chen, Yuan-Jie Chen, Jiang-Long Li

“…LHD) to sample nozzle structures, with peak wall shear stress (as objective function) calculated via CFD method. Finally, this optimization scheme was applied to optimize the chamber shape of the original nozzle commonly used in ship rust removal. …”
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Patient/client safety structures and processes in home care: A cross-sectional online survey by Heli Vaartio-Rajalin, Auvo Rauhala, Jaana Kalliokoski, Tuija S Ikonen

“…Care personnel were seen to have a function as Everyday safety “watchdogs” or “Safety whistleblowers”, and employ a broad range of preventive and reactive methods for patient/client safety. …”
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Improving energy efficiency and routing reliability in wireless sensor networks using modified ant colony optimization by Medhat A. Tawfeek, Ibrahim Alrashdi, Madallah Alruwaili, Leila Jamel, Gamal Farouk Elhady, Haitham Elwahsh

“…First, MACOA applies a multi-objective heuristic function to simultaneously optimize power consumption while ensuring reliability, bandwidth, and short path distances to achieve an efficient routing solution. …”
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EDT-MCFEF: a multi-channel feature fusion model for emergency department triage of medical texts by Tao Lin, Shiming Yi

“…IntroductionTriage is a pivotal function within the operational framework of an emergency department, as it directly influences patient outcomes and hospital efficiency. …”
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OR-FCOS: an enhanced fully convolutional one-stage approach for growth stage identification of Oudemansiella raphanipes by Runze Fang, Huamao Huang, Nuoyan Guo, Haichuan Wei, Shiyi Wang, Haiying Hu, Ming Liu

“…Integrating the complete intersection over union (CIoU) loss function addresses standard IoU limitations by factoring in aspect ratio and bounding box center distance. …”
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Caspase‐7 and Vitamin D Receptor Gene as Key Genes of Hypertension Caused by Pyroptosis in Human by Yu‐Xuan Lou, Yang Hua, Ting‐Ting Wu, Wei Sun, Yang Yang, Xiang‐Qing Kong

“…GO analysis, KEGG enrichment analysis, and GSEA revealed that the DEGs function synergistically in various biological pathways. …”
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Research on Abnormal Ship Brightness Temperature Detection Based on Infrared Image Edge-Enhanced Segmentation Network by Xiaobin Hong, Guanqiao Chen, Yuanming Chen, Ruimou Cai

“…Finally, a specialized loss function with edge weights supervises the fusion features. …”
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SDMSEAF-YOLOv8: a framework to significantly improve the detection performance of unmanned aerial vehicle images by Linxuan Li, Xiaoyu Liu, Xuan Chen, Fengjuan Yin, Bin Chen, Yufeng Wang, Fanbin Meng

“…A Multi-Separated and Enhancement Attention module enhances the feature learning ability of the occluded target region, thus reducing missed and false detections. …”
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Surface Defect Detection of Frozen Dumplings Based on Improved RetinaNet Model by Zhigen FEI, Xing GUO, Xiaoxiao SONG, Hao LU, Xinchang ZHAO

“…The addition of the convolutional block attention module (CBAM) and the use of the Swish activation function could effectively suppress the influence of background noise. …”
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