Reconceptualizing rehabilitation research via an enactive framework and a radically interdisciplinary cross-analysis: a study protocol on fatigue in post COVID-19 condition (PCC) by Richard Levi, Ulrika Birberg Thornberg, Ida Blystad, Anestis Divanoglou, David Engblom, Felipe Leon, Sofia Morberg Jämterud, Kristin Zeiler

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Laparoscopic ovum pick up in common marmoset (Callithrix jacchus) by Heejong Eom, So-Min Lee, Dongwook Kim, Dong-Won Seol, Minkyu Kim, Dohyun Lee

“…Duration of operation, recovery time and post-operation treatment period were similar for both methods. There were no significant differences between two methods for any of the variables analyzed. …”
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Remote Monitoring System of Patient Status in Social IoT Environments Using Amazon Web Services Technologies and Smart Health Care by Amer Tahseen Abu-Jassar, Hani Attar, Ayman Amer, Vyacheslav Lyashenko, Vladyslave Yevsieiev, Ahmed Solyman

“…This study investigates the problematic characteristics of contemporary methods for remote and portable patient monitoring. …”
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AI-augmented pathology: the experience of transfer learning and intra-domain data diversity in breast cancer metastasis detection by Manuel Cossio, Nina Wiedemann, Esther Sanfeliu Torres, Esther Barnadas Sole, Laura Igual

“…To enhance interpretability, we developed a visualization tool that employs color-coded probability maps to highlight tumor regions alongside their prediction confidence. …”
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A Comparative Study of Lesion-Centered and Severity-Based Approaches to Diabetic Retinopathy Classification: Improving Interpretability and Performance by Gang-Min Park, Ji-Hoon Moon, Ho-Gil Jung

“…Finally, we evaluate decision-making differences between labeling methods using visualization techniques. We benchmarked the lesion-centered NMC dataset against the severity-based public Asia Pacific Tele-Ophthalmology Society (APTOS) dataset, conducting experiments with EfficientNet—a convolutional neural network architecture—and diverse classification strategies. …”
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A workflow for extended reality-based learning in engineering education by Simone Luca Pizzagalli, Kashif Mahmood, Rostyslav Boychuk, Tauno Otto, Vladimir Kuts

“…The second focuses on the visualization and learning of direct kinematics methods for an industrial robotic arm.…”
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Bridging the Gap: Harnessing the Power of Machine Learning and Big Data for Media Research by Li-jing Arthur Chang

“…It covers topics such as principles of machine learning relevant to media studies, integration of computational methods with media research, data collection and preprocessing techniques, visualization of research findings, machine learning research tools, data quality and bias, ethical considerations, cross-disciplinary skills and knowledge, and best practices in data-driven research. …”
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Wind tunnel test research for influence of passive flow control technology on low speed characteristics of civil transport aircraft by YAN Wei, WANG Qimin, LI Jinye, XU Huiwen, ZHAO Keliang, BAI Feng, ZHANG Meihong, JIAO Renshan, WANG Fei, ZENG Weiping

“…The best combination scheme that can optimize the lowspeed characteristics is found：small size wing-body fairing plus outboard nacelle strake "A"；the area where the flow separation is suppressed by the optimization method is presented through the flow visualization test. …”
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Force Measurement Technology of Vision‐Based Tactile Sensor by Bin Fang, Jie Zhao, Nailong Liu, Yuhao Sun, Shixin Zhang, Fuchun Sun, Jianhua Shan, Yiyong Yang

“…Further, branches of each method are analyzed in terms of input types. Combined with measuring range and precision, the correlation of sensor design, materials, and recognition methods to force measurement performance is further discussed. …”
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Linking multivariate trait variation to the environment: the advantages of double constrained correspondence analysis with the R package douconca by Cajo J.F. ter Braak, Bart-Jan van Rossum

“…It extends joint species distribution modelling and species-environment relationship studies by incorporating trait data. Traditional methods include RLQ ordination, fourth-corner correlation analysis, and community-weighted means (CWM) regression, with generalized linear mixed models (GLMM) also being used.Through three case studies, we demonstrate that double-constrained correspondence analysis (dc-CA), an ordination method with biplot visualization, is a competitive alternative. …”
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TICTAC: target illumination clinical trial analytics with cheminformatics by Jeremiah I. Abok, Jeremy S. Edwards, Jeremy J. Yang

“…To overcome these limitations, an integrated approach is required that consolidates evidence from diverse data sources to support the effective prioritization of biological targets for further research.MethodsWe developed a comprehensive data integration and visualization pipeline to infer and evaluate associations between diseases and known and potential drug targets. …”
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Machine Learning-Based Harvest Date Detection and Prediction Using SAR Data for the Vojvodina Region (Serbia) by Gordan Mimić, Amit Kumar Mishra, Miljana Marković, Branislav Živaljević, Dejan Pavlović, Oskar Marko

“…Clustering of harvested and unharvested fields was performed with Principal Component Analysis, multidimensional scaling and t-distributed Stochastic Neighbour Embedding, for initial cluster visualization. It is shown that the separability of unharvested and harvested data in two-dimensional space does not depend on the selected method but more on the crop itself. …”
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Earthworm (<i>Eisenia fetida</i>) Mediated Macropore Network Formation in Black Soil: Decay Straw as a Trigger for Sustainable Tillage by Baoguang Wu, Pu Chen, Yuping Liu, Zhipeng Yin, Qiuju Wang, Shun Xu, Jinsong Zhang, Bingqi Bai, Deyi Zhou, Yuxin Liu

“…In this study, a method for creating networked macropores through tillage using <i>Eisenia fetida</i> attracted by food sources derived from decomposing straw was proposed. …”
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Functional state of the pancreas in adolescents with peptic ulcer of duodenum by I. S. Lembryk

“…In addition to conventional diagnostic algorithm for duodenal ulcer and pancreatic diseases the sonography with detailed visualization of the pancreas by method of B. M. Tarasyuk was performed. …”
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Comparative analysis of organoid, air-liquid interface, and direct infection models for studying pathogen–host interactions in endometrial tissue by Xin Zhang, Linyuan Fan, Li Zhang, Zhaohui Liu

“…Among the models tested, the direct infection method most accurately mirrors the progression of E. coli infection, showing its advantage in studying bacterial adhesion, replication, and epithelial barrier disruption. …”
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How do data authors perform in data-intensive research activities? Evidence from author contribution statement in data papers by Heng Yang, Yonglin Yu, Fenghong Liu

“…By employing the Contributor Roles Taxonomy (CRediT), this study examines the division of scientific labor in data papers from Data in Brief. Method and analysis. Utilizing methods of mathematical statistics and data visualization, we analysed the connections between the 14 CRediT roles within data papers. …”
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Astrocytes-associated research in Parkinson’s disease: an explored trends analysis by Yan-Jun Chen, Yan-Jun Chen, Ming-Rong Xie, Sheng-Qiang Zhou, Fang Liu

“…This study aims to explore the research hotspots, frontiers, and prospective directions regarding PD and astrocytes.MethodRelevant academic publications were searched through the Web of Science database. …”
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Estimation of plant leaf water content based on spectroscopy by Jiangtao Ji, Xinyi Lu, Hao Ma, Xin Jin, Shijie Jiang, Hongwei Cui, Xiaoxuan Lu, Yaqing Yang

“…The optimal model was used to predict the water content of each pixel in the hyperspectral images, achieving visualization of leaf water distribution. Additionally, 244 groups of hyperspectral and water content data from apple tree and lettuce leaves were collected to validate the generalization ability of the optimal model.ResultsResults showed that the optimal models established using the two methods were the linear regression model based on the vegetation index NISDI (3 wavelengths, RP2 = 0.9636, RMSEP=0.0356), and the CARS-RF model (12 wavelengths, RP2 = 0.9861, RMSEP=0.0219). …”
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Self-Supervised and Zero-Shot Learning in Multi-Modal Raman Light Sheet Microscopy by Pooja Kumari, Johann Kern, Matthias Raedle

“…Our results demonstrate significant improvements in image clarity, offering a reliable solution for visualizing complex biological systems. These methods establish the way for future advancements in high-resolution imaging, with broad potential for enhancing biomedical research and discovery.…”
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The Relevance of Osteoscintigraphy Technique in Early Detection of Bone Metastatic Lesions: a Systematic Review by E. A. Litvinenko, I. V. Burova

“…In the initial stage of the disease, OSG is one of the main methods of metastatic lesions visualization, but not the only way of diagnosis in diversification strategy aspect. …”
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