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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The differences in microbial communities and Tick-Borne pathogens between Dermacentor marginatus and Hyalomma asiaticum collected from the Northwestern Xinjiang Uygur Autonomous Re... by Like Duan, Xiaona Yang, Lin Zhang, Xuexia Hou, Lijuan He, Jingwen Li, Qin Hao

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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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MobileNetV3: an efficient deep learning-based feature selection and classification technique for cardiovascular disease by B. Dhanalaxmi, B. Naveen Kumar, Yeligeti Raju, Rama Seshagiri Rao Channapragada

“…Missing data handling, outlier detection, normalization using min–max normalization methods, categorical data encoding, and transformation are all done during the pre-processing phase. …”
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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 illuminate the shifts in focus within Information Assurance across decades, revealing key breakthroughs and forecasting emerging areas of significance.…”
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Landslide susceptibility assessment based on an interpretable coupled FR-RF model: A case study of Longyan City, Fujian Province, Southeast China by Zong-yue Lu, Gen-yuan Liu, Xi-dong Zhao, Kang Sun, Yan-si Chen, Zhi-hong Song, Kai Xue, Ming-shan Yang

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Evaluation of innovative technology market potential on the basis of technology audit by Oleksandra Kosenko, Victoriia Cherepanova, Iryna Dolyna, Viktoriia Matrosova, Olena Kolotiuk

“…This mechanism is built on structure evaluation table of technology market potential level detection as an object of commercialization. To ensure the efficiency of practical effect of the mechanism proposed, the authors systematized and completed methods of functional analysis and scanning of market environment for the purpose of qualitative comprehensive evaluation and innovative technology market potential forecasting.Introduction of the proposed evaluation method for technology market potential will result in the improvement of efficiency of enterprise innovation activity due to more rational distribution of available resources and immediate financing of developments with greater market potential.…”
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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

“…The forecast is based on the currently relevant time series analysis methods.…”
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Object Ontologies as a Priori Models for Logical-Probabilistic Machine Learning by D. N. Gavrilin, A.V. Mantsivoda

“…The combination of LPML and object ontologies is capable of solving the forecasting problems, the tasks of automated control, problem detection, decision making, and business process synthesis. …”
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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

“…The search terms included the following: (“earthquake magnitude” OR “earthquake early warning”) AND (prediction OR forecasting OR estimation OR forecast OR classification) AND (“machine learning” OR “deep learning” OR “artificial intelligence”). …”
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Crumbling Pathogenesis and Biomarkers for Diabetic Peripheral Neuropathy by Zhao Zhong Chong, Nizar Souayah

“…<b>Conclusions</b>: Most biomarkers for predicting DSP have demonstrated suboptimal predictive value, and many lack established accuracy in forecasting DSP progression. Consequently, the diagnostic utility of any single biomarker remains limited. …”
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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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Species distribution modelling using MaxEnt: overview and prospects by Yuliia Novoseltseva

“…This allows for the reconstruction of historical species ranges, the detection of changes in their distribution, and the forecasting of future trends, namely the prediction of potential ranges, the assessment of the impact of climate change and anthropogenic pressure, and the development of effective biodiversity conservation strategies. …”
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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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Predicting the heat capacity of strontium-praseodymium oxysilicate SrPr4(SiO4)3O using machine learning, deep learning, and hybrid models by Amir Hossein Sheikhshoaei, Ali Khoshsima, Davood Zabihzadeh

“…Machine learning (ML) offers a potent solution for forecasting diverse processes using both data-driven and knowledge-based methods. …”
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Innovation ARIMA models application to predict pressure variations in water supply networks with open-loop control. Case study in Noja (Cantabria, Spain) by David Muñoz-Rodríguez, Manuel J. González-Ortega, María-Jesús Aguilera-Ureña, Andrés Ortega-Ballesteros, Alberto-Jesus Perea-Moreno

“…—which is subsequently validated using real operational data from Noja, a coastal town in northern Spain characterized by significant seasonal population fluctuations. By accurately forecasting CPC pressure, this system enhances the detection of anomalous patterns, enabling more efficient network pressure management. …”
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Pre-seismic anomalies and co-seismic disturbance induced by the 2024 Mw 7.1 Wushi earthquake: multi-GNSS observations and modeling by Jianghe Chen, Pan Xiong, Haochen Wu, Xiaoran Zhang, Xuemin Zhang, Ting Zhang, Qingshan Ruan

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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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Application of capsule networks based on reparameterized heterogeneous convolution in multi-scale heterogeneous environment matrix in predictive modeling of interdisciplinary compl... by Shuya Liu, Xiaoli Zhang

“…Abstract Predictive modeling of complex systems frequently encounters inadequate processing capabilities for multi-scale heterogeneous data, as conventional methods grapple with the effective integration of such data. …”
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