MENTAL SPACE AS A WAY OF PRESENTING AND STRUCTURING HUMAN KNOWLEDGE by Valentyna Moisiuk

“…The author raises one of the important issues of cognitive linguistics, namely the representation and structuring of knowledge that a person receives during their life and discursive activity. …”
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UPAYA PENANGGULANGAN MASALAH KEMISKINAN MELALUI PERENCANAAN PEMBANGUNAN BERBASIS PERTANIAN TANANAM PANGAN DI KABUPATEN WONOSOBO by Moch Arifien Heri Cahyono

“…Of the commodity will be directed cluster development, namely the construction of production centers and processing centers.…”
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Research on Intelligent Detection and Segmentation of Rock Joints Based on Deep Learning by Lei Peng, Haibo Wang, Chun Zhou, Feng Hu, Xiaoyang Tian, Zhu Hongtai

“…The current methods for detecting joints on tunnel face rely primarily on manual sketches, which are associated with issues of low detection efficiency and subjectivity. …”
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Artificial intelligence to revolutionize IBD clinical trials: a comprehensive review by Rocio Sedano, Virginia Solitano, Sudheer K. Vuyyuru, Yuhong Yuan, Jurij Hanžel, Christopher Ma, Olga Maria Nardone, Vipul Jairath

“…This article explores how AI-driven technologies, including machine learning (ML), natural language processing, and predictive analytics, have the potential to enhance important aspects of IBD trials—from patient recruitment and trial design to data analysis and personalized treatment strategies. …”
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A Novel CNN-Based Framework for Detection and Classification of Power Quality Disturbances: Exploring Multi-Class Versus Multi-Label Classification by Aleksandra Zlatkova, Dimitar Taskovski

“…The detection and classification of power quality (PQ) disturbances remains a significant challenge because of the rapid integration of renewable energy sources (RES), widespread use of power electronics, and increasing prevalence of sensitive microcontrollers. These evolving PQ issues necessitate the development of accurate and reliable methods for identifying and classifying PQ disturbances. …”
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Damage Localization of Piles Based on Complex Continuous Wavelet Transform: Numerical Example and Experimental Verification by Wenting Zheng, Sifan Wang, Chengxu Lin, Xianying Yu, Jingliang Liu

“…A new signal processing method called complex continuous wavelet transform (CCWT) is introduced in this paper to localize pile damage because it clearly reveals inherent characteristics of response signals. …”
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Harnessing Digital Health Technologies to Combat Climate Change‐Related Health Impacts by Yuhang Li, Ge Wu, Puxi Gong, Chang Liu, Lizhong Liang, Mengchun Gong, Zhirong Zeng

“…This article explores the potential of digital health technologies to address the challenge posed by climate change‐related health issues. It discusses their dual functionality of diminishing the carbon footprint of healthcare services and increasing understanding and governance of climate‐sensitive diseases. …”
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Divide and summarize: improve SLM text summarization by Alexandre Bailly, Antoine Saubin, Gabriel Kocevar, Jonathan Bodin

“…Traditional summarization, often termed the “Stuff” method, processes an entire text in a single pass. In contrast, the “Map” method divides the text into segments, summarizes each independently, and then synthesizes these partial summaries into a final output, potentially mitigating the “Lost in the Middle” issue. …”
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Multi-task deep learning framework for enhancing Mayo endoscopic score classification in ulcerative colitis by Jaehyuk Lee, Eunchan Kim

“…This study proposes a multi-task learning (MTL) framework inspired by the coarse-to-fine processing mechanism of the human brain to address these challenges. …”
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Towards Analysis of Covariance Descriptors via Bures–Wasserstein Distance by Huajun Huang, Yuexin Li, Shu-Chin Lin, Yuyan Yi, Jingyi Zheng

“…In this paper, we tackle these issues by introducing the Bures–Wasserstein (BW) distance for covariance matrices analysis and demonstrating its advantages in BCI applications. …”
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Optimized Error Detection and Correction in ATM Networks Using the Enhanced Berlekamp Massey Algorithm With Hybrid Automatic Repeat Request by Mahmut Aykac

“…To help in resolving any transmission issues, the control information contains components such as a Virtual Path Identifier (VPI), Virtual Channel Identifier (VCI), and Cyclic Redundancy Check (CRC). …”
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Integrated Optimization Method of IPPS under TOU and Tiered Electricity Price by Erbao Xu, Yan Li, Mingshun Yang, Zhenyu Wang, Yirou Liu, Jiali Han

“…Energy-saving production is one of the issues that must be paid attention to by today’s manufacturing enterprises. …”
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Blockchain Solutions for International Logistics Networks along the New Silk Road between Europe and Asia by Bernard Aritua, Clemens Wagener, Norbert Wagener, Michał Adamczak

“…These responses provide insight into the issues related to the adoption of blockchain technology from front-line actors. …”
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Failure Mechanism and Effect of Nozzle Parameters on Abrasive Water Jet Rock Breaking by Jialiang Liu, Yujie Zhu, Shujian Du

“…To solve the abovementioned issues, it is necessary to study the failure mechanism of rock impacted by AWJ and nozzle parameter effects on rock fragmentation. …”
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Implementation of Russian Migration Policy in Kuzbass Region in Late XIX - early XX Centuries by V. G. Dorokhov, A. Yu. Karpinets, A. E. Pyanov

“…The novelty of the study is seen in the fact that for the first time, based on the processing of statistics, the state and dynamics of the resettlement-colonization processes in the Kuzbass region (Kuzbass) during the late XIX - early XX centuries are shown. …”
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AI-enabled OSA screening using EEG data analysis and English listening comprehension insights by Zhihong Gu, Yanbing Fan

“…Traditional approaches in OSA screening often rely on polysomnography, which, despite its high accuracy, suffers from limited accessibility, cost, and patient comfort issues. Furthermore, these methods rarely incorporate insights from cognitive and auditory processing frameworks that could deepen diagnostic precision.MethodsTo address these gaps, we propose an AI-enabled screening methodology that utilizes EEG signals in conjunction with insights from English listening comprehension models. …”
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Enhancing smart contract security: Leveraging pre‐trained language models for advanced vulnerability detection by Fei He, Fei Li, Peili Liang

“…Traditional methods for detecting these vulnerabilities, including manual inspections and automated static analysis, are plagued by issues such as high rates of false positives and overlooked security flaws. …”
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AI-Powered Innovations in Food Safety from Farm to Fork by Binfeng Yin, Gang Tan, Rashid Muhammad, Jun Liu, Junjie Bi

“…Secondly, during food processing, sensors combined with machine learning algorithms are utilized to ensure regulatory compliance and monitor production parameters. …”
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Neuropsychological and Emotional Functioning in Patients with Cushing’s Syndrome by Sabrina Na, Mary A. Fernandes, Adriana G. Ioachimescu, Suzanne Penna

“…Exploratory analyses suggested that the 11 patients with active Cushing’s exhibited lower processing speed, poorer sustained attention, naming, and cognitive flexibility compared to the 7 patients who achieved biochemical remission. …”
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A Novel Low-Rank Embedded Latent Multi-View Subspace Clustering Approach by Sen Wang, Lian Chen, Zhijian Liang, Qingyang Liu

“…Noises and outliers often degrade the final prediction performance in practical data processing. Multi-view learning by integrating complementary information across heterogeneous modalities has become one of the core techniques in the field of machine learning. …”
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