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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An investigation on anomalous deformation behavior in SUS304 austenitic stainless steel: Experiments and simulations by Bo Cao, Ruihe Liu, Chong Gao, Qian Sun, Xiaojun Tan, Takeshi Iwamoto, Tadanori Sugino

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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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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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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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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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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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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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MTFSR: Multitemporal and Spatial Feature Reconstruction Denoising Network for Remote Sensing Change Detection by YeKai Cui, Peng Duan, Jinjiang Li

“…The experimental results show that MTFSR significantly outperforms traditional methods and most existing advanced techniques in change detection performance.…”
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Feature extraction of coal mine ventilator vibration signals based on improved variational mode decomposition by TAO Long, GUO Yanfei

“…The feature components of the ventilator vibration signals were quickly extracted based on the inner product transform principle. Simulation and experimental results showed that the improved VMD algorithm performed well in extracting feature components of different intensities, with good accuracy and noise resistance. …”
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Optimization model of economic and environmental benefits for green development of continental shale oil reservoirs based on CCUS-EOR by CHEN Shang, DU Jialin, DU Yuanhe, LIU Yeye

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Arabic Fake News Dataset Development: Humans and AI-Generated Contributions by Hanen Himdi, Nuha Zamzami, Fatma Najar, Mada Alrehaili, Nizar Bouguila

“…To address this issue, we performed the same task using Deep Learning (DL) and transformer-based methods with different word embeddings. …”
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Accurate Time-to-Target Forecasting for Autonomous Mobile Robots by Stefan-Alexandru Precup, Arpad Gellert, Alexandru Matei, Bogdan-Constantin Pirvu, Constantin-Bala Zamfirescu

“…Accurate estimation of payload delivery times poses a significant challenge for efficient planning across different sectors. This paper addresses this challenge by evaluating the effectiveness of four time forecasting methods: Linear Regression, Random Forest Regression, Transformer and Bidirectional Long Short-Term Memory (BiLSTM) networks. …”
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A systematic review of multimodal fake news detection on social media using deep learning models by Maged Nasser, Noreen Izza Arshad, Abdulalem Ali, Hitham Alhussian, Faisal Saeed, Aminu Da'u, Ibtehal Nafea

“…The volume of data circulating from online sources is growing rapidly and comprises both reliable and unreliable information published through many different sources. Researchers are making plausible efforts to develop reliable methods for detecting and eliminating fake web news. …”
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EXPERIMENTAL STUDY OF IMMUNOMODULATORY FEATURES OF CEREBROSPINAL FLUID IN CASE OF BACTERIAL PURULENT MENINGITIS IN CHILDREN by L. A. Alekseeva, N. V. Skripchenko, G. F. Zheleznikova, N. E. Monakhova, A. A. Zhirkov, T. V. Bessonova

“…Concentration of cytokines (Interleukin (IL)-12, Tumor necrosis factor (TNF)-a, IL-8, IL-6, IL-10, IL-1b) in supernatants of 3-day old cultures of blood cells was detected by flow cytometry method.The effects of cerebrospinal fluid fractions directed on both stimulation and suppression of blast production were identified by phytohemagglutinin-stimulated reaction of leukocyte blast transformation (PHA-RLBT) test. …”
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