Physical condition preparation of combat sport athletes for fighting simulation in experimental research: coach perspective analysis by Trisnar Adi Prabowo

“…Data analysis uses narrative analysis methods to identify common themes and patterns that emerge from the data. …”
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An interpretable machine learning model for predicting depression in middle-aged and elderly cancer patients in China: a study based on the CHARLS cohort by Yue Xiao, Zejin Zhao, Chen-guang Su, Jian Li, Jinlong Liu

“…This study aims to use machine learning methods to develop a predictive model to identify depression risk. …”
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StatModPredict: A user-friendly R-Shiny interface for fitting and forecasting with statistical models. by Amanda Bleichrodt, Amelia Phan, Ruiyan Luo, Alexander Kirpich, Gerardo Chowell

“…To address the need for accessible and intuitive forecasting applications, we present StatModPredict, an R-Shiny dashboard for conducting robust forecasting analysis utilizing auto-regressive integrated moving average (ARIMA), generalized linear models (GLM), generalized additive models (GAM), and Meta's Prophet model.<h4>Methods</h4>StatModPredict supports robust real-time forecasting and retrospective model analysis, including fitting, forecasting, evaluation, visualization, and comparison of results from four popular models. …”
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Big IoT Data Analytics: Architecture, Opportunities, and Open Research Challenges by Mohsen Marjani, Fariza Nasaruddin, Abdullah Gani, Ahmad Karim, Ibrahim Abaker Targio Hashem, Aisha Siddiqa, Ibrar Yaqoob

“…Furthermore, big IoT data analytic types, methods, and technologies for big data mining are discussed. …”
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Integrated Network-Based Analysis of Diseases Associated with Amyloid Deposition Through a Disease–Protein–Drug Network by Aikaterini E. I. Rizou, Georgia I. Nasi, Avgi E. Apostolakou, Meletios A. Dimopoulos, Efstathios Kastritis, Vassiliki A. Iconomidou

“…<b>Methods:</b> For this reason, we constructed a disease–protein–drug network, focusing on a category of rare protein-misfolding diseases, known as amyloidoses, and on other pathological conditions also associated with amyloid deposition. …”
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IsoFoodTrack: a comprehensive database and management system based on stable isotope ratio analysis for combating food fraud by Cathrine Terro, Cathrine Terro, Robert Modic, Matevž Ogrinc, Andraž Simčič, Jan Drole, Tome Eftimov, Tome Eftimov, Barbara Koroušić Seljak, Barbara Koroušić Seljak, Nives Ogrinc, Nives Ogrinc

“…The database is built for scalability, allowing the addition of new commodities, analytical methods, and metadata fields, while ensuring interoperability with external databases through standardized formats and API integration. …”
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Photoacoustic Imaging in Inflammatory Orthopedic Diseases: Progress toward Precise Diagnostics and Predictive Regulation by Mengyi Huang, Haoyu Yu, Rongyao Gao, Yuxin Liu, Xuhui Zhou, Limin Fu, Jing Zhou, Luoyuan Li

“…Especially in inflammation imaging, this technology can effectively supplement current clinical imaging methods in diagnosis, staging, and monitoring of pathophysiological processes. …”
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Adopting TOGAF Framework for Sustainable and Scalable Robusta Coffee Leaf Rust Management by Thein Oak Kyaw Zaw, Kalaiarasi Sonai Muthu Anbananthen, Saravanan Muthaiyah, Baarathi Balasubramaniam, Suraya Mohammad, Yunus Yusoff, Khairul Shafee Kalid

“…However, managing Coffee Leaf Rust remains challenging due to the reliance on manual detection methods and the lack of structured technological integration. …”
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Opportunity, Challenges and Approaches of Multivariate Diversity Analysis for Quantitative Traits of Pulse Crops: A Review by Nuru Seid TEHULIE, Fikru MEKONNEN, Agegnehu MEKONNEN, Ahmed HASSEN, Semira EBRAHIM, Solomon ABEBE

“…By incorporating additional variables, methods like cross-tabulation, partial correlation, and multiple regression can clarify the nature of associations. …”
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Associations between indicators of lipid and glucose metabolism and hypothyroidism by Xinyi Huang, Hengzheng Cheng, Shuting Wang, Laifu Deng, Jiaxiu Li, An Qin, Chunqiang Chu, Xiao Liu

“…This research aimed to elucidate the relationships between indicators of lipid and glucose metabolism and hypothyroidism and to assess the value of metabolic indicators for hypothyroidism. Methods Prevalence surveys were conducted utilizing information from 3254 NHANES individuals who passed screening between 2007 and 2012. …”
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Bibliometric analysis of tumor marker application in gastric cancer diagnosis from 2019 to 2024 by Zhanat Komekbay, Reza Shirazi, Gulnaz Yessultanova, Alisher Garifollin, Anar Tulyayeva, Nurgul Kereyeva, Saule Akhmetova, Abdiraman Kaliev

“…Early detection and accurate prognosis are crucial for effective management, yet current diagnostic methods, including tumor markers, often exhibit less sensitivity. …”
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Revolutionizing Training in Continuing Engineering Education: An Experimental Proposal Using the Multi-Sensory Virtual Decision-Making Center by Jose Daniel Azofeifa, Valentina Rueda-Castro, Luis Jose Gonzalez-Gomez, Julieta Noguez, Patricia Caratozzolo

“…In the context of Industry 4.0, engineering education is evolving rapidly, requiring new approaches to continuing engineering education (CEE). Traditional methods struggle to meet the demands of professionals looking to update their skills. …”
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Carboxyl-containing quinazolines and related heterocycles as carriers of anti-inflammatory activity by N. I. Krasovska, V V. Stavytskyi, I. S. Nosulenko, O. Yu. Voskoboinik, S. I. Kovalenko

“…The aim of present study is to purposefully search for anti-inflammatory agents among carboxyl-containing quinazolines and related heterocycles using in silico and in vivo methods, as well as to evaluate carboxylic group effect on the level of anti-inflammatory activity. …”
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Ultrasound in Adhesive Capsulitis: A Narrative Exploration from Static Imaging to Contrast-Enhanced, Dynamic and Sonoelastographic Insights by Wei-Ting Wu, Ke-Vin Chang, Kamal Mezian, Vincenzo Ricci, Consuelo B. Gonzalez-Suarez, Levent Özçakar

“…Despite these advantages, the clinical utility of ultrasound remains subject to operator expertise and technical variability. Limited visualization of intra-articular structures and the absence of standardized scanning protocols continue to pose challenges. …”
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Cybersecurity Framework: Addressing Resiliency in Welsh SMEs for Digital Transformation and Industry 5.0 by Nisha Rawindaran, Ambikesh Jayal, Edmond Prakash

“…Advanced analytical techniques, including regression testing, Principal Component Analysis (PCA), and data visualization, were employed to uncover key insights and patterns. …”
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Identification of NAPL Contamination Occurrence States in Low-Permeability Sites Using UNet Segmentation and Electrical Resistivity Tomography by Mengwen Gao, Yu Xiao, Xiaolei Zhang

“…Experimental results demonstrate that the model achieves a mean Intersection over Union (mIoU) of 86.58%, an accuracy (Acc) of 99.42%, a precision (Pre) of 75.72%, a recall (Rec) of 76.80%, and an F1 score (f1) of 76.23%, effectively overcoming the noise interference in electrical anomaly interpretation through conventional geophysical methods in low-permeability clay, while outperforming DeepLabV3, DeepLabV3+, PSPNet, and LinkNet models. …”
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Unveiling construction accident causation: a scientometric analysis and qualitative review of research trends by Haoyu Zang, Ming Li, Zhiyao Jin, Jingfei Huang

“…VOSviewer was used for bibliometric visualization to map research trends, co-authorship networks, and keyword co-occurrences. …”
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Global research landscape of antiangiogenic therapy for colorectal cancer: a bibliometric analysis of mechanistic insights and clinical advancements by Ke-Qiang Hou, Jia-Ming Wu, Jie Chen

“…This study uses bibliometric analysis to link mechanistic insights, such as VEGF splicing variants, with clinical developments, identify global collaboration trends, and propose strategies to reduce resistance and toxicity in treatments.MethodsThis study were used to search the Web of Science databases Core Collection. …”
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Efficiently Learning an Encoder That Classifies Token Replacements and Masked Permuted Network-Based BIGRU Attention Classifier for Enhancing Sentiment Classification of Scientific... by Muhammad Inaam Ul Haq, Khalid Mahmood, Qianmu Li, Ashok Kumar Das, Sachin Shetty, Majid Hussain

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The Design of a Mobile Sensing Framework for Road Surfaces Based on Multi-Modal Sensors by Haiyang Lyu, Yu Huang, Jianchun Hua, Wenmei Li, Tianju Wu, Hanru Zhang, Wangta Ma

“…The framework leverages advanced sensor technologies and server-based computational methods and offers a user-friendly web interface for the dynamic visualization and interactive exploration of road surface conditions. …”
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