METHODOLOGY OF COGNITIVE-DISCURSIVE MODELLING OF LITERARY TRANSLATION (case study of Ukrainian retranslations of W. Shakespeare’s tragedies of the 19th–21st centuries) by Yana V. Boiko

“…The algorithm of the complex methodology of cognitive-discursive modelling of literary translation, which incorporates the methods of discourse analysis and cognitive translation studies, involves five stages of construction of three modules: discursive, cognitive, and retranslation. …”
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Metodologías para establecer valores de referencia de metales pesados en suelos agrícolas: perspectivas para Colombia Methods for establishing baseline values for heavy metals in a... by Germán Rueda Saa, Jenny Alexandra Rodríguez Victoria, Raúl Madriñán Molina

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Double-Layer Optimization of External Derivative Response for Multi-Energy Microgrid with Shared Energy Storage Stations by Jin LI, Kemeng LIU, Danli XU, Weiju GAO, Lei HUANG, Haoxing WU, Haochen HUA

“…Subsequently, the Hong's (2m+1) point estimation method is used to quantify the uncertainty of wind and solar power, and the two-layer nonlinear optimization model is transformed into a single-layer mixed-integer optimization model using the KKT conditions and Big-M method. …”
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ОБЩЕТЕОРЕТИЧЕСКИЕ И ПАТОФИЗИОЛОГИЧЕСКИЕ АСПЕКТЫ ЭТИОЛОГИИ И ПАТОГЕНЕЗА ИБС С СИСТЕМНЫХ ПОЗИЦИЙ by В. С. Хазов

“…Accordingly to it, the only method of their normal and abnormal functioning can be the method of the system analysis, that is most productively described in the Theory of Cardiovascular Fitness (CF) by scientist P.K. …”
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Enhanced sentiment analysis framework: Ensemble attention enhanced bidirectional long-short-term encoder for accurate classification of consumer reviews by Ali Jaber Almalki

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Ultra-Short-Term Photovoltaic Power Prediction Based on Predictable Component Reconstruction and Spatiotemporal Heterogeneous Graph Neural Networks by Yingjie Liu, Mao Yang

“…A circuit singular spectral decomposition (CISSD) intrinsic predictable component extraction method is adopted to obtain specific frequency components in sensitive meteorological variables, a mechanism based on radiation characteristics and PV power trend predictable component extraction and reconstruction is proposed to enhance power predictability, and a spatiotemporal heterogeneous graph neural network (STHGNN) combined with a Non-stationary Transformer (Ns-Transformer) combination architecture to achieve joint prediction for different PV components. …”
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Multilevel Feature Cross-Fusion-Based High-Resolution Remote Sensing Wetland Landscape Classification and Landscape Pattern Evolution Analysis by Sijia Sun, Biao Wang, Zhenghao Jiang, Ziyan Li, Sheng Xu, Chengrong Pan, Jun Qin, Yanlan Wu, Peng Zhang

“…To address these issues, this study proposes the multilevel feature cross-fusion wetland landscape classification network (MFCFNet), which combines the global modeling capability of Swin Transformer with the local detail-capturing ability of convolutional neural networks (CNNs), facilitating discerning intraclass consistency and interclass differences. …”
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A multi-objective improved horse herd optimizer based on convex lens imaging for stochastic optimization of wind energy resources in distribution networks considering reliability a... by Fude Duan, Ali Basem, Dheyaa J. Jasim, Mahdiyeh Eslami, Mustafa Okati

“…Abstract In this study, stochastic multi-objective allocation of wind turbines (WTs) in radial distribution networks is performed using a new multi-objective improved horse herd optimizer (MOIHHO) and an unscented transformation (UT) method for modeling the uncertainties of WTs power and network load. …”
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Enhancing personalized learning: AI-driven identification of learning styles and content modification strategies by Md. Kabin Hasan Kanchon, Mahir Sadman, Kaniz Fatema Nabila, Ramisa Tarannum, Riasat Khan

“…Next, the text content of the electronic documents is modified by employing different natural language processing (NLP) techniques, including named entity recognition of spaCy, knowledge graph, generative pre-trained transformer 3 (GPT-3), and text-to-text transfer transformer (T5) model, to accommodate diverse learning styles. …”
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Predictive performance and uncertainty analysis of ensemble models in gully erosion susceptibility assessment by Congtan Liu, Haoming Fan, Yixuan Wang

“…This study aims to identify the optimal feature datasets and to quantify the uncertainty associated with gully erosion prediction models by developing a novel methodological framework based on ensembles of the three machine learning models: Random Forest (RF), Convolutional Neural Network (CNN), and Transformer models. This study area is the Tuquan watershed in Inner Mongolia, China. …”
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On optimum multi‐input multi‐output radar signal design: Ambiguity function, manifold structure and duration‐bandwidth by Yuqing Liu, Jia Xu, Kon Max Wong, Timothy N. Davidson

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Numerical Study on Welding Residual Stress and Microstructure in Gas Metal Arc Welding Square Tube–Plate Y-Shaped Joints by Zhaoru Yan, Jinsan Ju

“…The thermodynamic sequence coupling method was employed to simulate the temperature field, microstructure distribution, and welding residual stresses in square tube–plate Y-joints. …”
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FOLR2+ macrophage depletion from intestinal metaplasia to early gastric cancer: single-cell sequencing insight into gastric cancer progression by Yuxin He, Jiayu Wang, Zilin Deng, Huang Feng, Mingzhan Du, Deqing Zhang, Guangbo Zhang, Tongguo Shi, Weichang Chen

“…Abstract Background The immune landscape associated with different subtypes of intestinal metaplasia (IM) and early gastric cancer (EGC) remains unclear. …”
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Assessing the Performance of ChatGPT in Medical Toxicology Through Simulated Case Scenarios by İbrahim Altundağ, Semih Korkut, Ramazan Güven, Aynur Şahin

“…Materials and Methods: A toxicologist created 10 different toxicology-simulated case scenarios based on the possible presentations of poisoned patients in an emergency department setting. …”
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A study on the financial information disclosure mechanism of digital intelligence based on the participation of four parties by Jingjing Yao, Yinan Sun

“…This article investigates the mechanisms of financial information disclosure within the context of digital transformation.MethodsA four-party game model is developed using a game approach, involving digitally-intelligent enterprises, financial data analysts, new quality productivity-based government, and fintech users. …”
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Analyzing the ecologicality and functionality of kiln architecture in China through KH coder data mining algorithm and hierarchical event coding by Runze Liu, Xiang Wang, Lin Yuan, Yunting Gao, Yan Zhang, Mengsi Yang, Weicong Li

“…Based on constructing ecologicality-architecture-cultural resilience theory, this study analyzes the structural features, ecological technologies, and conservation status of kiln architecture across various regions in China through KH Coder data mining and hierarchical event coding method and proposes a new protective framework. Findings: (1) Kiln architecture has evolved from built-against-the-mountain to semi-buried, fully-buried, reinforced earth-covered, and independent forms, as functional demands have changed from hazard avoidance to climate adaptability, functional expansion, and energy-saving design; (2) Climate, topography, and soil conditions are key factors driving the emergence of built-against-the-mountain, along-the-valley, sunken courtyard, and independent kiln architecture types; (3) Geological characteristics and material availability significantly shape the vaulted structural features of kiln architecture across different regions. …”
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Improving Harmonic Analysis Using Multitapering: Precise Frequency Estimation of Stellar Oscillations Using the Harmonic F-test by Aarya A. Patil, Gwendolyn M. Eadie, Joshua S. Speagle, David J. Thomson

“…., we developed a power spectrum estimation method, mtNUFFT (or multitaper nonuniform fast Fourier transform), for analyzing time series with quasi-regular spacing, and showed that it not only improves upon the statistical issues of the Lomb–Scargle (LS) periodogram, but also provides a factor of 3 speedup in some applications. …”
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Biological role and use of L-glutamic acid and its influence on the body by O. O. Korytko

“…L-glutamic acid is transformed in the cells of the intestinal mucosa into alanine, and in the liver – into glucose and lactate. …”
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Extraction Socket Preservation Using Growth Factors and Stem Cells: a Systematic Review by Mindaugas Pranskunas, Pablo Galindo-Moreno, Miguel Padial-Molina

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SME readiness for Industry 5.0: A systematic literature review by Blessing Takawira, David Pooe

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