Current state and problems of poultry breeding in Russia (review) by E. S. Fedorova, O. I. Stanishevskaya, N. V. Dementieva

“…Its purpose is to obtain, as far as possible, the most accurate forecast of the genetic value of an individual and the productive qualities of its progeny. …”
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A Hybrid Machine Learning Approach: Analyzing Energy Potential and Designing Solar Fault Detection for an AIoT-Based Solar–Hydrogen System in a University Setting by Salaki Reynaldo Joshua, An Na Yeon, Sanguk Park, Kihyeon Kwon

“…Key elements of the methodology include data collection from solar energy production and fault detection systems, energy potential analysis using Transformer models, and fault identification in solar panels using CNN and ResNet-50 architectures. …”
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Selective protection of cereals using artificial neural networks by Wiesław Golka, Magdalena Szechyńska-Hebda, Jolanta Kowalska, Adrian Golka, Robert Grolik, Magdalena Jakubowska, Mateusz Góra, Aleksander Bomberski

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PECULIARITIES OF FORMING TOTAL REVENUES OF UNITED TERRITORIAL COMMUNITIES IN UKRAINE UNDER CURRENT CONDITIONS OF TRANSFORMING THE SYSTEM OF PUBLIC FINANCES by V. Melnyk, N. Kriuchkova, R. Shchur

“…It is proved that in the process of accumulation of revenues in budgets of joint territorial communities common methods can be used — accumulation of income from productive activity, from property and property rights, from resource base, loan method; and special methods - tax, normative, method of redistribution, method of coefficients, emission, forecast. The analysis and estimation of revenues of own revenues of united territorial communities in Ukraine for 2015—2019 in the context of personal income tax, excise tax, land payment, unified tax, and real estate tax are carried out. …”
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Multiple objectives escaping bird search optimization and its application in stock market prediction based on transformer model by Dedai Wei, Zimo Wang, Minyu Qiu, Juntao Yu, Jiaquan Yu, Yurun Jin, Xinye Sha, Kaichen Ouyang

“…Despite the availability of various forecasting methods, such as CNN, LSTM, BiLSTM, GRU, and Transformer, the hyperparameter optimization of these models often faces limitations, particularly in single-objective optimization, where they can easily fall into local optima. …”
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Methodology for Assessing Contractors by the Level of Compliance with the Deadlines for the Fulfillment of Contractual Obligations by T. G. Berezova

“…The following statistical methods were used in the study: descriptive statistics, discriminant analysis, probit regression, construction of integral indexes, typological grouping. …”
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Detection of Banana Diseases Based on Landsat-8 Data and Machine Learning by Renata Retkute, Kathleen S. Crew, John E. Thomas, Christopher A. Gilligan

“…Remote sensing data offer the potential to detect the presence of disease, but formal analysis is needed to compare inferred disease data with observed disease data. …”
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USE OF TRIANGULAR MODELS OF NON-STATIONARY PROCESSES IN MODELING VARIABILITY OF HEART RHYTHM by Olena Akhiiezer, Olha Dunaievska, Mykhailo Shyshkin, Olha Butova, Anton Rohovyi

“…The qualitative assessment of the possibilities of the proposed models to generate artificial ECG provided the possibility of visual analysis by the cardiologist of the identity of the interpretation of real ECG records. …”
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Role of anoikis-related gene RAC3 in prognosis, immune microenvironment, and contribution to malignant behavior in vitro and in vivo of bladder urothelial carcinoma by Yusong Zhou, Shiwei Huang, Bing Yang, Jing Tan, Zhun Zhang, Wei Liu

“…Potential medications were screened by utilizing drug sensitivity analysis. In vitro and vivo, the character of the independent prognostic gene in BLCA was confirmed through cell studies and mouse xenograft models.ResultsOne hundred thirty differentially expressed genes (DEGs) were identified, and nine of them were chosen to construct predictive models that can accurately forecast the prognosis of BLCA patients. …”
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Exploring how Sentinel-1 wet-snow maps can inform fully distributed physically based snowpack models by B. Cluzet, J. Magnusson, L. Quéno, G. Mazzotti, G. Mazzotti, R. Mott, T. Jonas

“…<p>Distributed energy and mass balance snowpack models at sub-kilometric scale have emerged as a tool for snow-hydrological forecasting over large areas. However, their development and evaluation often rely on a handful of well-observed sites on flat terrain with limited topographic representativeness. …”
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Turbulence-induced droplet grouping and augmented rain formation in cumulus clouds by Siddharth Gumber, Sudarsan Bera, Satyajit Ghosh, Thara V. Prabhakaran

“…Abstract This paper provides the first observational analysis of how droplet separation is impacted by the flinging action of microscale vortices in turbulent clouds over a select radii range and how they vary over cloud cores and along the peripheral edges. …”
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IMPACT OF THE CORE INTERNATIONAL HUMAN RIGHTS TREATIES ON THE HUMAN RIGHTS SITUATION IN STATES: DOCTRINAL APPROACH by A. Kh. Abashidze, A. E. Koneva, A. M. Solntsev

“…The method of legal forecasting was used to determine the perspectives of the present and possible future research on the impact of human rights treaties in States.RESEARCH RESULTS. …”
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Estratégias tecnológicas e desempenhos inovadores das PMEs de equipamentos médico-hospitalares de São Carlos e Ribeirão Preto Technology strategies and innovation performances of t... by Denise Luciana Rieg, Alceu Gomes Alves Filho

“…Some indications were obtained that larger investments in internal activities of R&D&E development and in external sources of technology, larger dedication to technology forecasting, and development of a wide portfolio of product and process technologies have allowed the firms to reach higher IPs.…”
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Construction and application of a digital twin model for multi-objectiveoptimization of intelligent tape conveyor system by Wei CHEN, Jingzhao LI, Qing SHI, Jichao LIU, Huashun LI

“…Simultaneously, we use Sobol’s method and the Fast sensitivity analysis to verify our model’s input reasonability. …”
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Initial production prediction for horizontal wells in tight sandstone gas reservoirs based on data-driven methods by Jian Sun, Jianwen Gao, Kang Tang, Long Ren, Yanjun Zhang, Zhipeng Miao, Zhe Zhang

“…The dimensionality of the input data is reduced via correlation analysis of the feature parameters, and the parameters of each prediction model are optimized using a grid search and 10-fold cross-validation. …”
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An integrated bioinformatics and immunoinformatics approach to design a multi-epitope-based vaccine against Langya henipavirus by Saurav Kumar Mishra, Gyan Prakash Rai, Neeraj Kumar, Asheesh Shanker, John J. Georrge

“…The intended vaccine is forecast to be immunodominant, with broader population coverage encouraging physicochemical features and highly soluble. …”
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Problems and Prospects for the Application of Neural Networks for the Sphere of Education by T. M. Shamsutdinova

“…The prospects for the use of neural networks in the field of education are considered, including various tasks of recognition, diagnostics, classification, clustering, forecasting, optimization, etc. A structural model of an adaptive learning NeuroSmart environment is created. …”
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Association of Cardiovascular Disease Mortality and Ambient Temperature Variation in Shanghai, China: Beyond Air Quality Index PM_2.5 by Qi Li, Shizhen Li, Ting Zhai, Shan Jin, Chunfang Wang, Bo Fang, Tian Xia

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Polish Toxic Currency Options by Waldemar Gontarski

“…Issuing any option always means also buying someone other’s risk, in exchange for a relatively small option premium which might trigger a relatively huge and actually unlimited risk of losses, if the assumed forecast does not come true. This is not the economic analysis of law to be relied on any more in respect of the cost of preventing the risk of loss being higher or lower than the amount of damage. …”
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Time in range prediction using the experimental mobile application in type 1 diabetes by A. N. Rusanov, T. I. Rodionova

“…The current problem is the assessment and prediction of TIR for patients who use self-monitoring of blood glucose (SМBG) corresponding low CGM availability for the majority of diabetic patients.AIM: To develop a predictive model of TIR for patients with T1DM based on data of the experimental mobile application.MATERIALS AND METHODS: An analysis of 1253 professional CGM profiles of patients with T1DM was performed. …”
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