Validating an Atmospheric Absorption Model through Solar Instrumentation on Sounding Rockets by Nicolas G. Donders, P. S. Athiray, Amy R. Winebarger, Sabrina L. Savage, Dyana L. Beabout, Gary P. Zank

“…Extreme-ultraviolet and X-ray data taken from suborbital sounding rocket platforms are affected by atmospheric absorption. …”
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Smart Elderly Healthcare Services in Industry 5.0: A Survey of Key Enabling Technologies and Future Trends by Xiaoling Wang, Li Huang, Dongni Wang, Linyu Liu, Peng Guo

“…The survey identifies critical application challenges, including interoperability gaps, ethical concerns in human-robot interaction, and data heterogeneity, while forecasting future trends poised to accelerate the adoption of Industry 5.0 principles. …”
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Exploration of Cutting Processing Mode of Low-Rigidity Parts for Intelligent Manufacturing by Jianping Zhu, Xinna Liu, Hui Peng, Wei Liu, Zhiyong Li

“…The proposed architecture can provide a reference model for the research and application of intelligent cutting technology for low-rigidity parts.…”
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Foreground Removal and Angular Power Spectrum Estimation of 21 cm Signal Using Harmonic Space ILC Method by Albin Joseph, Rajib Saha

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Philosophy of medicine meets AI hallucination and AI drift: moving toward a more gentle medicine by Hamidreza Namazi, Mohammad Mahdi Radfar

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Emotion recognition with multiple physiological parameters based on ensemble learning by Yilong Liao, Yuan Gao, Fang Wang, Li Zhang, Zhenrong Xu, Yifan Wu

“…It offers valuable insights for the development of effective applications.…”
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Reliability and Quality of Complex Systems by K.V. Bukhenskiy, T.L. Lvova, V.V. Mironov

“…Real-time data collection, statistical analysis and averaging of data, clustering of data based on fuzzy logic, field testing of methods, analysis of results and conclusions take place. …”

<tt>HJ-BIPLOT</tt>: A Theoretical and Empirical Systematic Review of Its 38 Years of History, Using Text Mining and LLMs by Roberto Cascante-Yarlequé, Purificación Galindo-Villardón, Fabricio Guevara-Viejó, José Luis Vicente-Villardón, Purificación Vicente-Galindo

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Large Language Models for Transforming Healthcare: A Perspective on DeepSeek‐R1 by Jinsong Zhou, Yuhan Cheng, Sixu He, Yingcong Chen, Hao Chen

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TCMRD - KG: innovative design and development of rheumatology knowledge graph in ancient Chinese literature assisted by large language models by Haotian Li, Congmin Xia, Youjuan Hou, Sile Hu, Yanjun Liu, Quan Jiang

“…The unique theoretical system and rich treatment methods of traditional Chinese medicine are preserved in ancient Chinese medical books.MethodsThis study takes the content related to rheumatism in ancient traditional Chinese medicine books as the research object, integrates ontology theory and technology into the knowledge graph, and realizes the reconstruction of traditional Chinese medicine information knowledge. It provides a basic data structure for data mining and knowledge discovery.ResultsThis study is the first rheumatism-specific knowledge graph constructed based on ancient traditional Chinese medicine books. …”
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intSDM: An R Package for Building a Reproducible Workflow for the Field of Integrated Species Distribution Models by Philip S. Mostert, Ragnhild Bjørkås, Angeline J. H. M. Bruls, Wouter Koch, Ellen C. Martin, Sam W. Perrin

“…Finally, we provide a case study of the application of our proposed reproducible workflow by creating SDMs for vascular plants in Norway, integrating presence‐only and presence‐absence species occurrence data as well as climate data.…”
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Tabular transformer generative adversarial network for heterogeneous distribution in healthcare by Ha Ye Jin Kang, Minsam Ko, Kwang Sun Ryu

“…Abstract In healthcare, the most common type of data is tabular data, which holds high significance and potential in the field of medical AI. …”
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Calculation method for mining subsidence combining probability integral method and SBAS-InSAR by DING Xingcheng, LI Peixian, KANG Xinliang, WANG Mingliang, ZHANG Tao, HAO Dengcheng

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Enhancing Crowd Safety at Hajj: Real-Time Detection of Abnormal Behavior Using YOLOv9 by Amani A. Alsabei, Tahani M. Alsubait, Hosam H. Alhakami

“…Optimization of the YOLOv9 algorithm for this scenario demonstrated superior performance metrics (mean Average Precision (mAP@0.5), Recall, and Precision) when compared with its predecessors (YOLOv4, YOLOv5, YOLOv7, and YOLOv8), highlighting significant improvements in detection accuracy and real-time applicability. A pivotal aspect of this research was the implementation of critical data pre-processing steps to enhance the object detection model&#x2019;s performance. …”
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Shell Model Reconstruction of Thin-Walled Structures from Point Clouds for Finite Element Modelling of Existing Steel Bridges by Tomoya Nakamizo, Mayuko Nishio

“…Furthermore, toward practical application to actual bridge structures, on-site measurements and quality evaluation of point cloud data from a steel plate girder bridge were conducted. …”
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Evaluation of ‘Dunkelflaute’ event detection methods considering grid operators’ needs by Benjamin Biewald, Bastien Cozian, Laurent Dubus, William Zappa, Laurens P Stoop

“…Strengths and weaknesses of these methods are discussed in terms of their data requirements, ease of application, and skill in detecting dunkelflaute events. …”
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Preliminary development of a non-contact method for thermal characterization of building walls: Laboratory evaluation by Luca Evangelisti, Edoardo De Cristo, Claudia Guattari, Paola Gori, Tullio De Rubeis, Salvatore Monteleone

“…The goal is a non-invasive application in building diagnostics, particularly in heritage and architecturally sensitive contexts. …”
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Design of an Intelligent Active Surveillance and Early Warning System for Infectious Diseases by Min Liu, Wannian Liang, Jian Hu, Liangyu Kang, Wenzhan Jing, Kangning Cai, Xiaopeng Qi, Debing Liu, Quanyi Wang

“…Progress has been made in developing critical technologies such as multi-source data fusion, intelligent early warning, multidimensional risk assessment, and smart disposal evaluation, thus providing a solid technical foundation for the system's construction and application. …”
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Exploring emotions and perspectives of families with autism spectrum disorder individuals on sports participation: a case study on Weibo using machine learning method by Shan He, Fengshi Jing, Hao Ren, Yanning Xiao, Xia Sebastiane Chen, Ruihong Tang, Yue Qiu, Junwei Zeng, Tianyu Gao, Junhao Huang

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Enhanced Fetal Arrhythmia Classification by Non-Invasive ECG Using Cross Domain Feature and Spatial Differences Windows Information by Gede Angga Pradipta, Putu Desiana Wulaning Ayu, Made Liandana, Dandy Pramana Hostiadi

“…Finally, we applied oversampling techniques to address the issue of imbalanced data. Based on the results of an in-depth experimental analysis, it was found that the application of window sampling for data expansion produced favorable outcomes, particularly at a window size of 500. …”
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