METHODOLOGY OF COSEISMIC DISPLACEMENTS COMBINATION OBTAINED BY DATA STEMMING FROM HETEROGENEOUS GEODETIC NETWORKS: ON THE EXAMPLE OF THE GREAT 2011 TOHOKU EARTHQUAKE, Mw 9.1 by N. V. Shestakov, М. D. Gerasimenko, А. К. Kishkina, V. G. Bykov, V. V. Pupatenko, А. S. Prytkov, N. F. Vasilenko, V. S. Zhizherin, S. V. Yakovenko

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Multi-scale attention patching encoder network: a deployable model for continuous estimation of hand kinematics from surface electromyographic signals by Chuang Lin, Qiong Xiao, Penghui Zhao

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Investigating and Determining the Priorities for Capital Organizing in Iran by Mohammad Mirehei, Amir Fathi, Sohrab Amirian, Hatem Parnian

“…In the last two centuries, Tehran has been transformed to the center of country’s infrastructures and specially the network of ways. …”
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Study of Recent Image Restoration Techniques: A Comprehensive Survey by Nikita Singhal, Anup Kadam, Pravesh Kumar, Hritik Singh, Aaryan Thakur, Pranay

“…This article provides an all-inclusive review of state-of-the-art (SOTA) methods in image restoration, covering traditional methods as well as modern techniques like deep learning and transformer-based models. …”
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The Application of Deep Learning for Lymph Node Segmentation: A Systematic Review by Jingguo Qu, Xinyang Han, Man-Lik Chui, Yao Pu, Simon Takadiyi Gunda, Ziman Chen, Jing Qin, Ann Dorothy King, Winnie Chiu-Wing Chu, Jing Cai, Michael Tin-Cheung Ying

“…This study evaluates the application of deep learning in lymph node segmentation and discusses the methodologies of various deep learning architectures such as convolutional neural networks, encoder-decoder networks, and transformers in analyzing medical imaging data across different modalities. …”
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Adoption of business intelligence in Jordanian hospitals: Examining moderating effects of support, readiness, compatibility, and user satisfaction by Mohammad Mahmoud Saleem Alzubi

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Multistep photovoltaic power forecasting based on multi-timescale fluctuation aggregation attention mechanism and contrastive learning by Liang Yuan, Xiangting Wang, Yao Sun, Xubin Liu, Zhao Yang Dong

“…Despite the superior performance of Transformer-based time series methods, their application to PV power prediction remains suboptimal. …”
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Traditional models chemical kinetics and potentially streaming equation for a closed system by V. I. Bykov, I. E. Starostin

“…The symmetry of these positive- definite matrices follows from the principle of independence stages kinetic mechanism of chemical transformations. Under such constraints matrix corresponds to the general features of the kinetic mechanism of chemical transformations. …”
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MtAD-Net: Multi-Threshold Adaptive Decision Net for Unsupervised Synthetic Aperture Radar Ship Instance Segmentation by Junfan Xue, Junjun Yin, Jian Yang

“…Therefore, exploring the use of unsupervised instance segmentation methods to convert BBox-level annotations into pixel-level GT holds great significance in the SAR field. …”
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Semantic Tokenization-Based Mamba for Hyperspectral Image Classification by Ri Ming, Na Chen, Jiangtao Peng, Weiwei Sun, Zhijing Ye

“…Recently, the Mamba-based methods have shown even stronger spatial context modeling ability than Transformer for HSIC. …”
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Hierarchical Multi-Scale Decomposition and Deep Learning Ensemble Framework for Enhanced Carbon Emission Prediction by Yinuo Sun, Zhaoen Qu, Zhuodong Liu, Xiangyu Li

“…We integrate complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) to decompose carbon emission time series into intrinsic mode functions (IMFs) capturing different frequency bands. Each IMF is processed through a hybrid convolutional neural network (CNN)–Transformer architecture: CNNs extract local features and transformers model long-range dependencies via multi-head attention. …”
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A Framework for Predicting Winter Wheat Yield in Northern China with Triple Cross-Attention and Multi-Source Data Fusion by Shuyan Pan, Liqun Liu

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Anesthesia depth prediction from drug infusion history using hybrid AI by Liang Wang, Yiqi Weng, Wenli Yu

“…Methods The proposed model combines multiple deep learning techniques to address different aspects of anesthesia prediction. …”
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Effect of residual carbon on crystallization and solidification behavior of coal gasification coarse slag by Ze Meng, Rongsheng Xu, Qian Feng, Xiongchao Lin, Mei Li

“…Abstract This work investigates the influence of carbon residue on the crystallization and solidification behavior of slag at different temperatures and cooling methods as it has a significant impact on the flow and discharge of slag, as well as the proper functioning of gasification equipment. …”
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Dagestan national clothes as an attribute of rural everyday life. 1920–1960s by Madina Magomedovna Amirkhanova

“…In national clothes, the values of the time, consonant with the era, are objectively fixed.The national costume is comprehensively considered in the context of socio-historical processes, using the principle of historicism and interdisciplinary, comparative, historical, logical, problem-chronological methods. The purpose of the research is to show the spatial and temporal processes of distribution, development of traditional clothes of Dagestan, general and special in cut, the way of wearing clothes among different nationalities, to analyze the transformation of the national costume in the specified chronological framework. …”
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Robust Prediction of Wildfire Spread in Australia by Michael Palk, Katharina Knappmann, Stefan Voss, Raka Jovanovic

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Arabic Cyberbullying Detection: A Comprehensive Review of Datasets and Methodologies by Huda Aljalaoud, Kia Dashtipour, Ahmed Y. Al-Dubai

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Visco-thermoelastic rectangular plate under uniform loading: A study of deflection by Chopra Deepti, Singh Prince

“…The deflection analysis utilizes the Laplace transform and Finite Fourier sine transform. Inverse Laplace transform is resolved using residue method. …”
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Computer-Modeling System of Agronomist’s Labor Functions by I. E. Bystrenina

“…Among the main objectives of the research is the study of the essence of computer modeling as a teaching method in the works of domestic scientists, as well as the construction of models and their implementation using high-level programming languages in order to obtain an information system for the labor functions of an agronomist.Materials and methods. …”
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Linguistic-stylistic analysis of the language of leadership in the political arena and the business world by Oremire J. Ehibor, Joy Eyisi, Jonathan A. Odukoya, Charles U. Ogbulogo, C. U. C. Ugorji, Onyekachi Odo, Lily Chimuanya, Eugenia Abiodun-Eniayekan, Edith Awogu-Maduagwu, Rebecca U. Adesiyan

“…The research underscores the importance of recognsing these differences to enhance communication and understanding across different sectors, advocating against broad generalisations.…”
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