Robust Methods for Assessing the Characteristics of Locomotor Activity Based on Markerless Video Capture Data by M. I. Bogachev, K. R. Grigarevichius, N. S. Pyko, S. A. Pyko, M. Tsygankova, E. A. Plotnikova, T. V. Ageeva, Ya. O. Mukhamedshina

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Decoding Infection and Transmission: Deciphering the mystery of infectious diseases from data-based research by Jun Cao, Lubin Jiang, Louis H. Miller

“…Nevertheless, there are few international peer-reviewed journals that focus on analysis, decoding and utilization of epidemiological, biological, functional and -omics data associated with infectious diseases. …”
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Ionospheric Electron Density and Temperature Profiles Using Ionosonde-like Data and Machine Learning by Jean de Dieu Nibigira, Richard Marchand

“…This paper presents a novel way of inferring ionospheric electron density profiles and electron temperature profiles using machine learning. The analysis is based on the Nearest Neighbour (NNB) and Radial Basis Function (RBF) regression models. …”
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A Survey on Video Big Data Analytics: Architecture, Technologies, and Open Research Challenges by Thi-Thu-Trang Do, Quyet-Thang Huynh, Kyungbaek Kim, Van-Quyet Nguyen

“…It also analyzes key enabling technologies, including real-time streaming, scalable distributed processing, intelligent AI models, and advanced storage for managing large-scale multimodal video data. In addition, the study provides a functional taxonomy of core video processing tasks, including object detection, anomaly recognition, and semantic retrieval, and maps these tasks to real-world applications. …”
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Data-Driven Modeling of Electric Vehicle Charging Sessions Based on Machine Learning Techniques by Raymond O. Kene, Thomas O. Olwal

“…Based on this, we formulated an objective function, expressed as a sum of utility functions when EVs charge on the grid with constraints imposed on voltage levels and charging power. …”
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A theory and data-driven method for rapid bottom hole pressure calculation in UGS by Yang Li, Haiwei Guo, Xianfeng Gong, Naixin Lu, Kairui Zhang

“…Finally, by integrating the wellbore flow equations under different well conditions, using theoretical models to generate samples, and establishing a loss function guided by real samples, a theory and data-driven neural network model (TDDNN) has been successfully developed, achieving rapid and accurate calculation of bottom hole pressure. …”
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Exponential Synchronization for Stochastic Neural Networks with Mixed Time Delays and Markovian Jump Parameters via Sampled Data by Yingwei Li, Xueqing Guo

“…The exponential synchronization issue for stochastic neural networks (SNNs) with mixed time delays and Markovian jump parameters using sampled-data controller is investigated. Based on a novel Lyapunov-Krasovskii functional, stochastic analysis theory, and linear matrix inequality (LMI) approach, we derived some novel sufficient conditions that guarantee that the master systems exponentially synchronize with the slave systems. …”
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Hypersensitivity pneumonitis in a child (observational data for six years): A clinical case by V. S. Chulkov, L. V. Medvedeva, E. E. Minina, E. V. Fastakovskaya

“…The paper presents data from a six-year observation of a 9-year-old girl. …”
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An improved Red-billed blue magpie feature selection algorithm for medical data processing. by Chenyi Zhu, Zhiyi Wang, Yinan Peng, Wenjun Xiao

“…Feature selection is a crucial preprocessing step in the fields of machine learning, data mining and pattern recognition. In medical data analysis, the large number and complexity of features are often accompanied by redundant or irrelevant features, which not only increase the computational burden, but also may lead to model overfitting, which in turn affects its generalization ability. …”
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Automated Eddy Identification and Tracking in the Northwest Pacific Based on Conventional Altimeter and SWOT Data by Lan Zhang, Cheinway Hwang, Han-Yang Liu, Emmy T. Y. Chang, Daocheng Yu

“…This study employed the elliptical Gaussian function (EGF) simulations and the py-eddy-tracker (PET) algorithm, validated by Surface Velocity Program (SVP) drifter data, to track eddies in the western North Pacific Ocean. …”
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Rural communities are more physically active in Indonesia: the results on Indonesian national survey data by Wildan Haru Pradani, Anindra Guspa, Amin Akbar, Izzanil Hidayati, Wirza Feny Rahayu, Putri Sukma Deri, Fidia Oktarisa

“… Introduction: Physical activity is an important component of maintaining physical and mental health, including reducing the risk of chronic diseases and improving cognitive function. However, nearly a quarter of the global adult population is physically inactive, with factors such as geographic location (urban vs. rural) and socioeconomic conditions influencing participation levels. …”
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Rural communities are more physically active in Indonesia: the results on Indonesian national survey data by Wildan Haru Pradani, Anindra Guspa, Amin Akbar, Izzanil Hidayati, Wirza Feny Rahayu, Putri Sukma Deri, Fidia Oktarisa

“… Introduction: Physical activity is an important component of maintaining physical and mental health, including reducing the risk of chronic diseases and improving cognitive function. However, nearly a quarter of the global adult population is physically inactive, with factors such as geographic location (urban vs. rural) and socioeconomic conditions influencing participation levels. …”
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Anam, K., Setiowati, A., Nurrachmad, L., Indardi, N.., Azmi, D. A. N.., Aditia, E. A.., Irawan, F. A., Susanto, N., Latino, F., Tafuri, F., Pavlović, R., Setyawan, H., & Kozina, Z. (2024). Análisis del Riesgo de Lesiones en Estudiantes de la Academia de Fútbol: Una revisión de las puntuaciones de las pruebas de movimiento funcional y los datos demográficos (Injury Risk Analysis of Soccer Academy Students: A Review of Functional Movement Screen Scores and Demographic Data).... by Retraction Retraction

“…Análisis del Riesgo de Lesiones en Estudiantes de la Academia de Fútbol: Una revisión de las puntuaciones de las pruebas de movimiento funcional y los datos demográficos (Injury Risk Analysis of Soccer Academy Students: A Review of Functional Movement Screen Scores and Demographic Data). …”
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NHANES 2005–2018 data reveal high albumin-bilirubin scores are associated with depression by Qing-Zhong Li, Jia-Xin Tan, Guo-Tian Ruan, Quan-Zhi Qin, Teng Deng, Yi-Zhen Gong

“…The albumin-bilirubin (ALBI) score, originally developed as an objective measure of hepatic function, has demonstrated prognostic value in diverse clinical contexts including liver diseases, brain tumors and chronic heart failure. …”
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Integrating multi-omics data to optimize immunotherapy in endometrial cancer: a comprehensive study by Xin Guan, Rongchuan Cao, Longbi Liu, Lin Ma, Ning Gao, Yanfei Yang, Mingyue Xiao, Rui Du, Yuzhe Su, Zhen Wang, Xiaofeng Liu, Lu Han

“…The study employed functional enrichment and gene set variant analysis to discern noteworthy disparities in biological pathways across various groups. …”
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Real world data of cabozantinib in patients with hepatocellular carcinoma: Focusing on dose setting and modification by Hironao Okubo, Hitoshi Ando, Shunsuke Nakamura, Yusuke Takasaki, Koichi Ito, Yuka Fukuo, Kenichi Ikejima, Hiroyuki Isayama

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Coaching Patients to Understand and Use Patient-Reported Outcome Data: Intervention Design and Evaluation by Martha Burla, Brocha Z Stern, Andrew BL Berry, Sarah Pila, Patricia D Franklin

“…One example of a PRO-based decision aid is the Arthritis care through Shared Knowledge (ASK) report, which shares individual PRO data on knee and hip arthritis–related pain and functional limitations with patients. …”
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Correlation of enthesial and synovial inflammation in patients with psoriatic arthritis: Data of clinical and ultrasonographic study by A. V. Petrov, O. A. Pritulo, L. V. Sokolova, A. A. Petrov

“…The study is based on the analysis of survey data from 106 patients with PsO for the period 2018–2021, which were firstly sent by dermatologists for a consultation with a rheumatologist due to musculoskeletal pain. …”
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Quantifying uncertainties in satellite NO₂ superobservations for data assimilation and model evaluation by P. Rijsdijk, P. Rijsdijk, P. Rijsdijk, H. Eskes, A. Dingemans, A. Dingemans, K. F. Boersma, K. F. Boersma, T. Sekiya, K. Miyazaki, S. Houweling, S. Houweling

“…Superobservations are averages of individual observations matching the model's resolution and are functional to reduce the data load on the assimilation system. …”
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Modeling to Engineering and Failure Times Data: Using the Marshall–Olkin Extended Exponential Distribution by Ibrahim E. Ragab, Najwan Alsadat, Mustapha Muhammad, Suleman Nasiru, Mohammed Elgarhy

“…The new model is characterized by high adaptability in data analysis. Various mathematical properties, including ordinary moments, moment-generating functions (MGFs), and conditional moments (CMs) of the new suggested model, were computed. …”
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