Possibilities of a biobank for serological monitoring of infectious morbidity by O. A. Svitich, V. V. Zverev, T. V. Solomay, T. A. Semenenko, A. V. Nozdracheva, T. P. Gotvyanskaya

“…Currently, monitoring infectious morbidity, control and forecasting the epidemic process is a topical health problem.Aim. …”
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THEORY AND PRACTICE OF ASSESSING THE LEVEL OF INSTABILITY OF THE EXTERNAL ENVIRONMENT OF THE ENTERPRISE IN A HYBRID WAR by I. Zapukhliak, A. Shegda, О. Mykytiuk, T. Onysenko, K. Petrenko

“…Current trends in the globalization economy, especially in the context of economic crises caused by hybrid war, COVID-19, lead to a constant search for new methods of enterprise management that could ensure its effective functioning. …”
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Characterization of the avian influenza viruses distribution in the environment of live poultry market in China, 2019–2023 by Hong Bo, Ye Zhang, Jie Dong, Xiyan Li, Xiang Zhao, Hejiang Wei, Zi Li, Dayan Wang

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Developing a cost-effective tool for choke flow rate prediction in sub-critical oil wells using wellhead data by Zhiwei Xun, Farag M. A. Altalbawy, Prakash Kanjariya, R. Manjunatha, Debasish Shit, M. Nirmala, Ajay Sharma, Sarbeswara Hota, Shirin Shomurotova, Fadhil Faez Sead, Hojjat Abbasi, Mohammad Mahtab Alam

“…Each plays a vital role in forecasting the oil production rate. To ensure reliability, robust data preprocessing was conducted using the Monte Carlo outlier detection (MCOD) method to recognize and manage data outliers. …”
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APPLIED ASPECTS OF MODERN ANTI-CRISIS FINANCIAL MANAGEMENT by Zoia S. Pestovska, Кateryna S. Romanova, Olesya S. Rosenberg

“…For early recognition of the signs and causes of the crisis in the enterprise, its prevention and elimination, it is necessary to use special methods of comprehensive diagnosis of the state of the enterprise. …”
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Artificial intelligence applications in the management of musculoskeletal disorders of the shoulder: A systematic review by Umile Giuseppe Longo, Martina Marino, Guido Nicodemi, Matteo Giuseppe Pisani, Jacob F. Oeding, Christophe Ley, Rocco Papalia, Kristian Samuelsson

“…Abstract Purpose The aim of the present review is to evaluate and report on the available literature discussing artificial intelligence (AI) applications to the diagnosis of shoulder conditions, outcome prediction of shoulder interventions, and the possible application of such algorithms directly to surgical procedures. Methods In February 2024, a search of PubMed, Cochrane and Scopus databases was performed. …”
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Investigation of Cryptosporidium spp. and Enterocytozoon bieneusi in free-ranged livestock on the southeastern Qinghai–Xizang Plateau, China by Xiaoxue Peng, Xu Wang, Jinhua Jian, Qingqiu Zuo, Hua Liu, Yaxue Wang, Yaxin Su, Jianping Cao, Bin Jiang, Yujuan Shen

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Analysis of the incidence of breast cancer in the Krasnoyarsk Territory by R. A. Zukov, I. P. Safontsev, A. V. Zyuzyukina, K. D. Permyakova, T. N. Zamay, A. S. Kichkaylo

“…To conduct an analysis of the incidence of breast cancer in the Krasnoyarsk Territory for 2012–2021 and calculate the medium-term forecast of indicators until 2030.   Materials and methods. …”
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Large scale summarization using ensemble prompts and in context learning approaches by Andrés Leiva-Araos, Bady Gana, Héctor Allende-Cid, José García, Manob Jyoti Saikia

“…Our results demonstrate that an ensemble of methods (Ev2) outperforms traditional summarization and density-based approaches, with improvements ranging from 16.7% to 29.6% in keyword definition tasks. …”
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Assessment of the Scope of Work for Operational Control of Steel Underground Gas Pipelines, Taking Into Account the Organizational and Logistical Factor by N. V. Strutsky, V. N. Romaniuk

“…This inspection is a kind of operational control, which includes detection of defects of insulation coating and gas leaks by instrumental methods, without opening the pipeline. …”
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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

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Chemometric and computational modeling of polysaccharide coated drugs for colonic drug delivery by Ahmad Khaleel AlOmari, Khaled Almansour

“…For ML modeling, we examined the predictive accuracy of three machine learning models—Elastic Net (EN), Group Ridge Regression (GRR), and Multilayer Perceptron (MLP)—for forecasting the release behavior of samples. The dataset, consisting of 155 data points with over 1500 spectral features, underwent preprocessing involving normalization, Principal Component Analysis (PCA) for dimensionality reduction, and outlier detection using Cook’s Distance. …”
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A novel mitochondrial quality regulation gene signature for anticipating prognosis, TME, and therapeutic response in LUAD by multi-omics analysis and experimental verification by Lijun Zeng, Sixuan Wu, Zhimin Li, Yuanbin Tang, Yeru Tan, Renji Liang, Yuehua Li

“…Methods We extensively examined transcriptome and clinical data from TCGA and GEO databases to discover differentially expressed MQRGs. …”
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Recent Advances in Early Earthquake Magnitude Estimation by Using Machine Learning Algorithms: A Systematic Review by Andrés Navarro-Rodríguez, Oscar Alberto Castro-Artola, Enrique Efrén García-Guerrero, Oscar Adrian Aguirre-Castro, Ulises Jesús Tamayo-Pérez, César Alberto López-Mercado, Everardo Inzunza-Gonzalez

“…Out of the 472 articles initially identified, 28 were selected based on pre-defined inclusion criteria. The described methods and algorithms illustrate the strong performance of ML in earthquake magnitude estimation despite limited implementation in real-time systems. …”
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Crumbling Pathogenesis and Biomarkers for Diabetic Peripheral Neuropathy by Zhao Zhong Chong, Nizar Souayah

“…However, the superimpose of acquired demyelination on axonal loss in DSP patients has been observed, implying that DSP may be preventable or reversible, particularly within a subgroup of patients exhibiting early-stage acquired demyelination, underscoring the critical importance of identifying early prognostic markers. <b>Methods</b>: We systemically review the literature on the roles of biomarkers in predicting DSP and monitoring the progress. …”
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Advancing Early Warning Systems for Malaria: Progress, challenges, and future directions - A scoping review. by Donnie Mategula, Judy Gichuki, Karen I Barnes, Emanuele Giorgi, Dianne Janette Terlouw

“…The studies varied in their transmission settings, from pre-elimination to high burden, and their purposes, ranging from outbreak detection to resource allocation. The studies employed various statistical and machine-learning models to forecast malaria cases, often incorporating environmental covariates such as rainfall and temperature. …”
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Snow depth estimation in Northeast China based on space-borne scatterometer data and ML model with optimal features by Wenfei Chen, Lingjia Gu, Xiaofeng Li, Xintong Fan

“…Real-time snow depth (SD) monitoring is crucial for water resource management, weather forecasting, and environmental research. Current SD estimation methods primarily rely on passive microwave or synthetic aperture radar (SAR) technologies. …”
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Assessing Groundwater Drought Hazard in Groundwater Depletion Regions: Recommendations for Large‐Scale Drought Early Warning Systems by Claudia Herbert, Petra Döll

“…Abstract In groundwater depletion (GWD) regions, negative trends in groundwater storage (GWS) are problematic for groundwater drought detection, since they mask climate‐induced drought signals. …”
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Wear Prediction and Visual Decision Support of Drop Forged Rivetless Chain for Conveyors by Liu Manxian, Xu Zijia, Shen Xujia, Li Xiaodong, Zhang Zhijun, Yang Yi

“…In order to accurately detect, predict and maintain the wear condition of drop forged rivetless chain for conveyors, the methods of wear prediction and active maintenance are developed based on gray model and visual decision support. …”
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Evolution of wind field in the atmospheric boundary layer using multiple-source observations during the passage of Super Typhoon Doksuri (2305) by X. Wang, X. Wang, J. Xu, J. Xu, S. Wu, S. Wu, S. Wu, Q. Wang, G. Dai, G. Dai, P. Zhu, Z. Su, S. Chen, X. Shi, M. Fan

“…The data fusion method is developed to obtain the complete wind speed profiles covering the whole atmospheric boundary layer (ABL) based on the above instruments. …”
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