Current state and prospects of implementation of data standardization in the health care system of Ukraine (literature review) by D.Ye. Kaduk, T.M. Aleksandrova, P.S. Talapova, I.B. Agieieva, M.M. Ved, M.O. Trofymenko, M.R. Kolesnyk, T.S. Nesmiian

“…Quality implementation of the standardization program is a leading factor in the improvement of the quality of medical services, such as: early detection of diseases and emergencies, setting new therapeutic goals, improving the quality of clinical trials, improving of assessment of the quality of medical services and work of the doctors and nursing staff, improving the efficiency of health care programs, improving the safety of use of medical devices, forecasting medical consequences, reducing administrative costs, integrating artificial intelligence into the healthcare system, etc.…”
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Current Advancements in Serum Protein Biomarkers for Hepatitis B Virus‐Associated Hepatocyte Remodeling and Hepatocellular Carcinoma by Adane Adugna, Gashaw Azanaw Amare, Mohammed Jemal

“…Objective This review article aimed to discuss the novel serum protein biomarkers for HBV‐induced hepatocyte remodeling and HCC. Methods The information was collected from various peer‐reviewed journals through electronic searches utilizing various search engines, including PubMed, Google Scholar, HINARI, and Cochrane Library from 2017 to 2024. …”
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Identifying Coronal Mass Ejection Active Region Sources: An Automated Approach by Julio Hernandez Camero, Lucie M. Green, Alex Piñel Neparidze

“…Identifying the source regions of coronal mass ejections (CMEs) is crucial for understanding their origins and improving space weather forecasting. We present an automated algorithm for matching CMEs detected by the Large Angle Spectrometric Coronagraph with their source active regions, specifically Space Weather HMI Active Region Patches (SHARPs), between 2010 May and 2019 January. …”
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Pemanfaatan Data PDDIKTI sebagai Pendukung Keputusan Manajemen Perguruan Tinggi by Ngatmari Ngatmari, Muhammad Bisri Musthafa, Cahya Rahmad, Rosa Andrie Asmara, Faisal Rahutomo

“…Techniques in providing solutions to these problems are classification techniques to assist decision making, for example Decission Tree (C4.5, ID3, CHAID, rule induction) and forecasting techniques using simple moving average (SMA) methods. …”
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Trends in the development of the ISO 9001 quality management system – a parameter of the logistic function by Grzegorz Kazimierz Rządkowski, Katarzyna Szczepańska

“…The method allows specifying these parameters based on a scalogram - a graph of the Continuous Wavelet Transform (CWT) applied directly to the number of ISO 9001 certificates issued. …”
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Development of a neural network for diagnosing the risk of depression according to the experimental data of the stop signal paradigm by M. O. Zelenskih, A. E. Saprygin, S. S. Tamozhnikov, P. D. Rudych, D. A. Lebedkin, A.  N. Savostyanov

“…Improving the quality and volume of information, complicating its presentation, the need to detect hidden connections makes it ineffective, and most often impossible, to use classical statistical forecasting methods. …”
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Probing cosmic voids with emission-line galaxies by Yuka Yamada, Naoki Yoshida, Naoki Yoshida

“…We study how the measured physical properties depend on the observational methods for void detection and identification.MethodsWe generate mock intensity maps targeting the far-infrared CO(3–2) emission line by assigning the line luminosities to dark matter halos in cosmological simulations. …”
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Sensing technology for greenhouse tomato production: A systematic review by Jingxin Yu, Jiang Liu, Congcong Sun, Jiaqi Wang, Jianchao Ci, Jing Jin, Ni Ren, Wengang Zheng, Xiaoming Wei

“…The review covers four key areas: (1) a comprehensive analysis of critical environmental factors influencing tomato growth, such as temperature, humidity, light intensity, and CO2 concentration; (2) an exploration of high-throughput, non-destructive sensing technologies, including chlorophyll fluorescence imaging, infrared CO2 sensing, and multispectral imaging; (3) an investigation of the algorithms based on multi-sensor data fusion and data-driven diagnostic systems for disease detection and growth forecasting; and (4) a discussion on potential research topics in the future to address the limitations of the existing methods. …”
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Analyzing social psychological impact on emotional expression through peer communication using crayfish optimization algorithm with deep learning model by Umkalthoom Alzubaidi

“…The presented SPIEEPC-COADL model aims to develop an effective method for detecting text-based emotional expressions to enhance HCI. …”
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Automatic Identification of Past Radiation Belts Electron Enhancement Events Using a Ground‐Based Parameter by Guillerme Bernoux, Gautier Nguyen, Angélica Sicard, Vincent Maget

“…Abstract We propose a new method for automatically identifying radiation belt electron enhancement events using Ca, a ground‐based 1D surrogate index for the global dynamics of the electron radiation belts. …”
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Revolutionizing Water Quality Monitoring with Artificial Intelligence: A Systematic Review by Mahmoud Saleh Al-Khafaji, Layth Abdulameer, Muthanna M. A. AL-Shammari, Najah M. L. Al Maimuri, Anmar Dulaimi, Dhiya Al‑Jumeily

“…Our analysis reveals a 13-fold increase in AI adoption since 2011, with innovations such as adaptive neuro-fuzzy inference systems (ANFIS) and deep neural networks (DNNs) facilitating real-time anomaly detection and contamination forecasting. The novelty of this review lies in its dual focus—quantifying AI's scalability for global water security while critically addressing unresolved challenges in data standardization, model interpretability, and ethical governance. …”
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Sustainable Energy and Exergy Analysis in Offshore Wind Farms Using Machine Learning: A Systematic Review by Hamid Reza Soltani Motlagh, Seyed Behbood Issa-Zadeh, Abdul Hameed Kalifullah, Arife Tugsan Isiacik Colak, Md Redzuan Zoolfakar

“…Traditional deterministic methods often fail to capture the dynamic interactions within wind farms, thereby underscoring the need for ML-integrated approaches that enhance precision in energy forecasting, fault detection, and exergy analysis. …”
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Prognostic Factors in Postoperative Brain Metastases Derive From Non-small Cell Lung Cancer: A Retrospective Analysis by Haibin Chen, Liang Sun, Zhi Yang, Yuanyuan Qu, Nanyang Tong, Caixing Sun, Liang Xia

“…Background: Brain metastases are crucial in cancer progression, requiring focused efforts on the screening, early detection, and treatment. However, accurate forecasting the postoperative prognosis of patients with non-small cell lung cancer brain metastasis remains a challenge. …”
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FArSide Trained Active Region Recognition (FASTARR): A Machine Learning Approach by Amr Hamada, Mitchell Creelman, Kiran Jain, Charles Lindsey

“…The results reveal that U-Net evaluation achieves greater sensitivity to active region presence in the Sun’s far hemisphere compared to conventional methods.…”
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Genomic investigation of a non-travel Plasmodium falciparum case linked to imported malaria in China’s post-elimination era by Fei Luo, Dan Jiang, Jing-Ru Xu, Yan Tan, Meng-Ping Yang, Jun Xie, Sen-Ping Yang, Hai-Mo Shen, Shuang Zhou, Jun-Hu Chen

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Imprints of vibratory signals induced by road construction in strain and seismic records: A case study of Yichang station by Xiaolin Yang

“…With the goal of uncovering the impact on the records of the water-tube tiltmeters, vertical pendulums, extensometers, and seismometer, we analyzed the signatures of this disturbance using the signal processing method. The study produced several important results: In particular, the water-tube tiltmeters were more capable of detecting the vibratory disturbances than the vertical pendulums and extensometers, and the main feature of the disturbances was dominated by high-frequency tremors. …”
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SPPMFN: Efficient Multimodal Financial Time-Series Prediction Network With Self-Supervised Learning by Ningxin Li, Gang Chao, Jianke Zou, Gaozhe Jiang

“…Traditional statistical methods like ARIMA and GARCH struggle with non-linear data. …”
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Toward a Time-Bounded Solution for Real-Time Latency Prediction in Dynamic 5G Communication by Andrea Nota, Lisa Maile, Selma Saidi

“…Even with limited knowledge about future channel conditions, using state-of-the-art forecasting methods, our approach still bounds 99.8% of actual latencies, demonstrating its robustness. …”
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MODELI NG CLINICAL AND ECONOMIC OUTCOMES OF TESTING FOR LTBI WITH T-SPOT.TB IN IMMUNOCOMPROMISED CHILDREN by V. I. Ignatyeva, M. V. Avxentyeva, V. V. Omelyanovsky, G. R. Khachatryan

“…The aim of the study was to evaluate the cl inical and economic outcomes of testingfor LTBI with T-SPOT.TB in immunocompromised children. Methods: we develope d a model, forecasting the testing results, probable cases of tuberculosis activation and related costs for scenarios with alternative use of T-SPOT.TB and TST for diagnosing LTBI in immunocompromised children. …”
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CRITIC-Based Vertical Collusion Control Quality Prediction Based on the Coupling and Coordination Degrees of Socioenvironmental and Public-Investment Bidding Systems in China by Chongsen Ma, Yun Chen, Liang Ou, Kangyang Jiang

“…The criteria importance through intercriteria correlation method was used to quantify these degrees. To smooth out periods of missing data, the autoregressive integrated moving average model was employed, and the first-order, one-variable, time-series forecasting method was then used to project the trend to 2025. …”
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