The possibilities of GIS technologies for assessing and monitoring the climatic conditions of the Makazhoy Fepression (Chechen Republic, Russia) by V. V. Bratkov, R. H. Bekmurzaeva, L. R. Bekmurzaeva

“…A prospective analysis of climatic conditions made it possible to assess the general features of the climate of the Makazhoy basin Field observations made it possible to characterize modern climatic conditions, as well as to calculate gradients.Depending on the locations, it was determined that the amount of total solar radiation in the Makazhoy basin varies by almost 3 times. …”
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Hospitalisations for chronic conditions among care experienced and general population children and young people: evidence from the Children’s Health in Care in Scotland (CHiCS) coh... by Marion Henderson, Alastair Leyland, Mirjam Allik, Edit Gedeon

“…Objective There is limited evidence on how the physical health of children and young people (CYP) who are care experienced (eg, in foster or out-of-home care) compares to the general population. UK research suggests that the prevalence of some chronic conditions may be similar for these groups.Design We undertook longitudinal population-wide data linkage of social care, prescription and hospitalisation records for care experienced and general population CYP born 1990–2004, followed from birth to August 2016. …”
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A General Model for Large-Scale Paddy Rice Mapping by Combining Biological Characteristics, Deep Learning, and Multisource Remote Sensing Data by Zhenjie Liu, Jialin Liu, Yingyue Su, Xiangming Xiao, Jingwei Dong, Luo Liu

“…The proposed GPRM first utilizes the normalized difference vegetation index and land surface water index to acquire large-scale remote sensing dataset in key phenology periods of paddy rice, such as the transplanting period and peak vegetative growth period. Then, a general model using object-based deep neural networks is developed and trained by the remote sensing dataset and the ground reference data collected in one region (e.g., Guangdong Province), which can be directly applied for generating 10-m paddy rice maps in other regions with different climate conditions and complex cropping systems (e.g., Jiangxi Province and Heilongjiang Province). …”
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AdriE: a high-resolution ocean model ensemble for the Adriatic Sea under severe climate change conditions by D. Bonaldo, S. Carniel, R. R. Colucci, R. R. Colucci, C. Denamiel, C. Denamiel, P. Pranić, F. Raicich, A. Ricchi, A. Ricchi, L. Sangelantoni, I. Vilibić, I. Vilibić, M. L. Vitelletti

“…Addressing 3D circulation and thermohaline dynamics within the Regional Ocean Modelling System (ROMS), the ensemble consists of six climate runs encompassing the period from 1987 to 2100 in a severe RCP8.5 scenario forced by the SMHI-RCA4 regional climate model, driven by as many different CMIP5 general climate models made available within the EURO-CORDEX initiative. …”
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Socio-cultural identity of rescue officers in the modern conditions of the region by Ella Mukhamedovna Kueva

“…Empirical sociological data obtained by a sociological survey of the general totality of the search and rescue squad of the General Directorate of the Ministry of Emergency Situations in the Republic of Adygeya. …”
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Boundary Conditions in 2D Numerical and 3D Exact Models for Cylindrical Bending Analysis of Functionally Graded Structures by F. Tornabene, S. Brischetto, N. Fantuzzi, M. Bacciocchi

“…The cylindrical bending condition for structural models is very common in the literature because it allows an incisive and simple verification of the proposed plate and shell models. …”
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Spatiotemporal Semantic Modeling and Cross-Modal Collaboration-Based Gait Recognition Under Multiple Views and Various Walking Conditions by Qianqing Duan, Ming Xu, Jun Liu, Yingying Peng

“…In this paper, a spatiotemporal semantic modeling and cross-modal collaboration approach for multiple views and various walking conditions gait recognition is proposed by integrating temporal and spatial dimensions with silhouette, skeleton, Gait Energy Image (GEI), and Skeleton Energy Image (SEI). …”
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MATHEMATICAL MODELS FOR DETERMINING THE PARETO FRONT FOR BUILDING TECHNOLOGICAL PROCESSES OPTIONS UNDER THE CONDITIONS OF INTERVAL PRESENTATION OF LOCAL CRITERIA by Vladimir Beskorovainyi, Lyudmyla Kolesnyk, Dr. Chinwi Mgbere

“…The practical use of mathematical models will allow to increase the degree of automation of design or control processes, to reduce the time of decision-making in conditions of incomplete certainty of input data and to guarantee their quality by selecting them only from a subset of effective ones. …”
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Accurate quantification of the algebraic, multiplicative algebraic, and simultaneous iterative reconstruction techniques in ionosphere rebuilding based on the TIEGCM assessment by Ao Qi, HaiBing Ruan

“…The Thermosphere Ionosphere Electrodynamics General Circulation Model (TIEGCM) offers a reasonable physics-based ionospheric background and is widely utilized in ionospheric research. …”
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Effects of Mid‐Latitude Oceanic Fronts on the Middle Atmosphere Through Upward Propagating Atmospheric Waves by Y. Kawatani, H. Nakamura, S. Watanabe, K. Sato

“…Abstract The impact of mid‐latitude oceanic frontal zones with sharp meridional sea‐surface temperature (SST) gradients on the middle atmosphere circulation during austral winter is investigated by comparing two idealized experiments with a high‐top gravity wave (GW) permitting general circulation model. Control run is performed with realistic frontal SST gradients, which are artificially smoothed in no‐front run. …”
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Impact du changement climatique sur les températures journalières minimales et maximales et les précipitations de la région de Tanger (nord-ouest du Maroc) quantifié à partir d’une... by Nabil Rifai, Abdellatif Khattabi, Laila Rhazi

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Two Wave Interactions in a Fermi– Pasta–Ulam Model by S. D. Glyzin, S. A. Kashchenko, A. O. Tolbey

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Prediction of Temperature Using SDSM Multiple Linear Models (Case Study: Hoor al-Azim and Miangaran Wetlands) by Mansour Chatrenour, Nasrin Moradimajd, Bahare Delsouz Khaki, Mir Naser Navidi, Naser Davatgar

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Smart learning using artificial intelligence: Ways to improve the process of teaching general education subjects in higher education (China's experience) by Xiaoyu Wang, Yan Li, Jing Yan

“…In the context of the application of artificial intelligence, in terms of teaching environment, teaching model, teaching staff formation and evaluation mechanism, the practical strategies of intelligent teaching of general education subjects in higher education institutions, which are designed to make teaching more targeted, student learning more personalized, and management methods in higher education institutions more scientific, are discussed by analyzing the teaching process of general education subjects at Heihe University. …”
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Enhancing generalization in a Kawasaki Disease prediction model using data augmentation: Cross-validation of patients from two major hospitals in Taiwan. by Chuan-Sheng Hung, Chun-Hung Richard Lin, Jain-Shing Liu, Shi-Huang Chen, Tsung-Chi Hung, Chih-Min Tsai

“…Furthermore, both models exhibit strong generalizability across diverse KD datasets, particularly the CTGAN-DC model, which surpasses the JAMA model with a 3% increase in sensitivity and a 95% improvement in generalization sensitivity and specificity, effectively resolving the model collapse issue observed in the JAMA model. …”
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Safe engine-out landing of a passenger plane under the wind conditions by M. A. Kiselev, S. V. Levitsky, V. A. Podobedov

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Enhancing Robustness of Variational Data Assimilation in Chaotic Systems: An α-4DVar Framework with Rényi Entropy and α-Generalized Gaussian Distributions by Yuchen Luo, Xiaoqun Cao, Kecheng Peng, Mengge Zhou, Yanan Guo

“…To address these issues, this paper proposes a non-Gaussian nonlinear data assimilation method called α-4DVar, based on Rényi entropy and the α-generalized Gaussian distribution. By incorporating the heavy-tailed property of Rényi entropy, the objective function and its gradient suitable for non-Gaussian errors are derived, and numerical experiments are conducted using the Lorenz-63 model. …”
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CAPACITY PLANNING OF URBAN ROADS IN CONDITION OF PASSENGERS’ TRAVEL MODE CHOICE by M. E. Koryagin, E. G. Timofeeva

“…The presented model allows optimizing the capacity of the road network in conditions of allocated lanes for public transport and the choice of transportation for passengers. …”
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Strategic Vector of Training Business Analysts in the Conditions of New National Priorities of Higher Education by N. A. Kazakova

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Application of mental fitness tools in the prevention of stress-associated conditions of female students of higher education establishments by Olena Andrieieva, Nataliia Byshevets, Vitalii Kashuba, Liubomyr Pasichniak, Yuliia Lazakovych

“…The following research methods were used: analysis, synthesis, generalization, pedagogical experiment, survey, modelling, statistical analysis using correlation analysis, comparative analysis, effect assessment method, non-linear assessment methods, model quality assessment methods. …”
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