The tasks of using artificial intelligence in lean manufacturing by S. K. Kuizheva, L. I. Zadorozhnaya, T. A. Ovsyannikova, V. I. Zarubin

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Neural network models for diagnosing recurrent aphthous ulcerations from clinical oral images by R. Raja Subramanian, R. Raja Sudharsan, Bavithra Vairamuthu, Deshinta Arrova Dewi

“…Abstract In the medical field, Artificial Intelligence (AI) for diagnostic processes, particularly through deep learning techniques, has become increasingly advanced. …”
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Multi-modal MRI for objective diagnosis and outcome prediction in depression by Jesper Pilmeyer, Rolf Lamerichs, Sjir Schielen, Faroeq Ramsaransing, Vivianne van Kranen-Mastenbroek, Jacobus F.A. Jansen, Marcel Breeuwer, Svitlana Zinger

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Single-cell atlas of human gingiva unveils a NETs-related neutrophil subpopulation regulating periodontal immunity by Wei Qiu, Ruiming Guo, Hongwen Yu, Xiaoxin Chen, Zehao Chen, Dian Ding, Jindou Zhong, Yumeng Yang, Fuchun Fang

“…Despite the critical role of NETs in the development and progression of periodontitis, their specific functions and mechanisms remain unclear. Objectives: To demonstrate the important functions and specific mechanisms of NETs involved in periodontal immunopathology. …”
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A Theoretical Study on the Structural Evolution of Ru–Zn Bimetallic Nanoparticles by Luxin Mu, Jingli Han, Yongpeng Yang

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Advancing our understanding of optoionic effects for the design of solar batteries: a theoretical perspective by Matteo Rinaldi, Matthias Kick, Karsten Reuter, Christian Carbogno

“…This has the potential to drive and accelerate the energy revolution by utilizing materials that integrate the functionality of batteries and photovoltaic cells. Finding, optimizing, and customizing these materials is a complex task, though. …”
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A Review of Short-Term, Long-Term, and Memory Consolidation Mechanisms in the Hippocampus and Cerebral Cortex by Zuomin Yang, Anis Salwa Binti Mohd Khairuddin, Joon Huang Chuah, Wei Ru Wong, Hafiz Muhammad Fahad Noman, Tri Wahyu Oktaviana Putri, Xin Xu, Md Minhazul Haq

“…Moreover, this work aims to translate neuroscience’s mechanisms of learning and memory to intelligent agents, enabling machines with human-like learning, memory, cognitive, and decision-making functions. …”
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THE THEORETICAL MODEL OF THE PEDAGOGICAL SYSTEM OF FORMATION OF THE ABILITIES OF FOREIGN-LANGUAGE BUSINESS COMMUNICATION SKILLS AMONG STUDENTS OF THE BACHELOR DEGREE IN THE POWER I... by Yulia V. Shustova, Valentin N. Mikhelkevich

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Review of Research on Artificial Intelligence-driven Joint Radar Communication by Xianmei WANG, Xiangbo LIU, Yuzheng REN, Yang LU, Haijun ZHANG

“…Artificial Intelligence (AI), with its powerful learning ability, automatically learns features from large amounts of data without the need for explicit modeling, thereby promoting the deep fusion of radar communication. …”
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ICKAN: A deep musical instrument classification model incorporating Kolmogorov-Arnold network by Jiaxiang Zheng, Moxi Cao, Chongbin Zhang

“…Meanwhile, traditional deep learning models still have limitations in extracting complex timbral features. …”
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Image Descriptions for Visually Impaired Individuals to Locate Restroom Facilities by Cheng-Si He, Nan-Kai Lo, Yu-Huan Chien, Siao-Si Lin

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THE USE OF VERSATEXT IN TEACHING ENGLISH FOR SPECIFIC PURPOSES AT MEDICAL UNIVERSITIES by Yu. Lysanets, L. Morska, O. Bieliaieva

“…This article explores the integration of data-driven learning tools, as exemplified by VersaText, into the process of teaching English for Specific Purposes in medical education. …”
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A multi-pronged approach to addressing curricular challenges in undergraduate immunology education by Elena Tonc, Elena Tonc, Devavani Chatterjea, Devavani Chatterjea

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Exploring Purpose-Driven Methods and a Multifaceted Approach in Dam Health Monitoring Data Utilization by Zhanchao Li, Ebrahim Yahya Khailah, Xingyang Liu, Jiaming Liang

“…Methodologies such as numerical modeling, statistical analysis, and machine learning are critically analyzed, highlighting their strengths and limitations and the demand for advanced predictive techniques. …”
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Intelligent BIM Searching via Deep Embedding of Geometric, Semantic, and Topological Features by Pin-Hao Huang, Sheng-Yu Song, Zhen Xu, Zhen-Zhong Hu, Jia-Rui Lin

“…As a digital representation of buildings, building information models (BIMs) encapsulate geometric, semantic, and topological features (GSTFs), to express the visual and functional characteristics of building components and their connections to create building systems. …”
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Product Management: Managing Product Development in the Era of Digital Transformation by G. D. Laptev, D. K. Shaytan

“…Taking into account the fact that the characteristics and functionality of the future product are determined exactly at the initial stage, the management of the process here is of decisive importance. …”
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Modeling pegcetacoplan treatment effect for atrophic age-related macular degeneration with AI-based progression prediction by Irmela Mantel, Romina M. Lasagni Vitar, Sandro De Zanet

“…It became evident that this difference is of potential functional interest for patient outcomes. Conclusions This model based on an 80% growth of RORA after two years illustrates the variable effect of treatment with Pegcetacoplan according to the individual situation, supporting personalized medical care.…”
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Optimizing Geospatial Data for ML/CV Applications: A Python-Based Approach to Streamlining Map Processing by Removing Irrelevant Areas by David Kasperek, Michal Podpora

“…Massive image datasets are often required for the proper functioning of Machine Learning (ML) and Computer Vision (CV) applications. …”
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Optical Fiber Vibration Signal Recognition Based on the EMD Algorithm and CNN-LSTM by Kun Li, Yao Zhen, Peng Li, Xinyue Hu, Lixia Yang

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An Integrated Framework for Real-Time Sea-State Estimation of Stationary Marine Units Using Wave Buoy Analogy by Hamed Majidiyan, Hossein Enshaei, Damon Howe, Yiting Wang

“…The system’s performance was evaluated using data obtained from an experimental test on a semi-submersible platform, and the results demonstrate the promising functionality of the approach for a fully automated SSE system. …”
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