Multi-physiological signal fusion for objective emotion recognition in educational human–computer interaction by Wanmeng Wu, Enling Zuo, Weiya Zhang, Xiangjie Meng

“…IntroductionAn increasing prevalence of psychological stress and emotional issues among higher education teachers necessitates innovative approaches to promote their wellbeing. …”
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An architectural framework for information integration using machine learning approaches for smart city security profiling by Adnan Abid, Ansar Abbas, Adel Khelifi, Muhammad Shoaib Farooq, Razi Iqbal, Uzma Farooq

“…The information extractor and news classifier have been implemented, whereby the classification sub-component employs widely used text classifiers for a news data set comprising almost 5000 news manually compiled for this purpose. …”
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Global and national university rankings: A multivariate analysis by Т. А. Salimova, I. А. Ivanova, Е. А. Sysoeva

“…These processes actualise the issues of possibilities for practical use of methodologies for calculation of global and national university rankings.The aim of the study was to develop and apply a methodological approach to multivariate the analysis of Higher Education Institutions (HEIs) classification procedures, to construct and analyse aggregated indicators for global and national rating systems of higher education organisations, and to assess the relationship between them.Methodology and research methods. …”
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Fractional Artificial Protozoa Optimization Enabled Deep Learning for Intrusion Detection and Mitigation in Cyber-Physical Systems by Shaik Abdul Rahim, Arun Manoharan

“…Therefore, a framework for intrusion detection and mitigation in CPS is developed to overcome the above issues using Fractional Artificial Protozoa Optimization enabled Spiking VGG-16 (FAPO Spiking VGG-16). …”
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A Bibliometric Analysis of Research on Human Settlements Improvement Based on CNKI and Web of Science by Chenxi Li, Jinfeng Miao, Xuan Zhai, Qiao Liu

“…The results show the following: (1) the research literature on human settlement environment improvement has undergone three stages of slow growth, steady growth, and explosive growth; (2) many countries and institutions have published research on the improvement of human settlement environment, forming a close cooperative relationship; (3) three research hotspots have been formed: the concept and classification of the human settlement environment, the improvement path of the human settlement environment, and the evaluation method of the human settlement environment; and (4) waste management and green space are the frontier issues in the field of human settlement environment improvement. …”
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Translating and culturally adapting the sleep disturbance scale for children into Malayalam language: Enhancing pediatric health in the Indian context by Lekshmy S. R. Nair, Sageena George, S. Anandaraj, Deepak Jose, Deepthi Alice Philip, J. S. Anjali

“…Purpose: The sleep disturbance scale for children (SDSC) is a well-regarded tool for assessing pediatric sleep disorders, covering areas such as sleep initiation, breathing issues, and arousal disorders. The SDSC, known for its reliability and validity, has been adapted for various age groups and languages and aligns with the Association of Sleep Disorders Centers classification system. …”
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Research on Rural Heating Energy Reform in Heilongjiang Province: Based on a Survey of 209 Households by Lu Shuaijun, Liu Tiansen, Dong Mengtong, Wu Hanxue, Zhang Qiaowei

“…Finally, Friedman and Wilcoxon signed rank tests were applied to examine key issues (Q) and government-driven optimization methods (V) for heating-energy structure, The results show that the government should focus on the economy, heating effect and environmental pollution of clean heating to avoid waste of resources.…”
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Optimized customer churn prediction using tabular generative adversarial network (GAN)-based hybrid sampling method and cost-sensitive learning by I Nyoman Mahayasa Adiputra, Paweena Wanchai, Pei-Chun Lin

“…Background Imbalanced and overlapped data in customer churn prediction significantly impact classification results. Various sampling and hybrid sampling methods have demonstrated effectiveness in addressing these issues. …”
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Individual Contribution-Based Spatial-Temporal Attention on Skeleton Sequences for Human Interaction Recognition by Xing Liu, Bo Gao

“…To address the above issues, we propose an innovative method by designing the individual contribution based spatial-temporal attention graph convolutional network. …”
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The Genus <i>Clonostachys</i> (<i>Bionectria</i>) as a Potential Tool Against Agricultural Pest and Other Biotechnological Applications: A Review by Manuela Reyes-Estebanez, Pedro Mendoza-de Gives

“…There are still challenges and limitations, such as the continuous surveillance of the safety of <i>Clonostachys</i> species on plants, the establishment of commercial applications, formulation viability, and variability due to field conditions. These issues will have to be addressed. This review provides an overview of <i>Clonostachys</i> ecology, morphology, classification, and biotechnological applications, emphasizing its significance in various fields.…”
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Reports of the International Organization for Migration: Analysis of the Problems of Ukrainian Refugees and Internally Displaced Persons in the context of the Large-Scale Russian I... by Zakirova Svitlana

“…The author has proposed a classification of the analyzed IOM editions: according to territorial characteristics - international, national, regional and local; according to the regularity and repeatability of the research - periodic and episodic; according to the target audience of respondents - research on 1) Ukrainian refugees abroad, 2) internally displaced persons, 3) universal; according to the range of analyzed issues - thematic and complex. …”
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THE PROBLEM OF ADHERENCE TO THE TREATMENT IN MODERN MEDICINE: POSSIBILITIES OF SOLUTION, IMPACT ON THE EFFECTIVENESS OF THERAPY AND DISEASE OUTCOMES by Yu. V. Lukina, N. P. Kutishenko, S. Yu. Martsevich

“…The article discusses some reasons explaining the absence of significant breakthroughs in solving the problem of adherence: (1) unresolved issues with terminology, especially the lack of Russian-language terms, the absence of both a uniform definition of "adherence", which takes into account the variety of aspects included in it and a generally accepted classification of terms by the topic; (2) a lack of reliable diagnostic tests that are convenient for clinical practice, and the absence of a "gold standard" method for diagnosing adherence; (3) a lack of valid diagnostic tests to determine the adherence of physicians to the clinical recommendations and official medicine usage instructions as well as tests to assess the quality of therapy; (4) a large and growing number of identified factors that influence adherence, and usually not taken into account the mutual influence of these factors; (5) frequent inattention to fact that in the same patients there may be different adherence to different medicines, etc. …”
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Cross-Modal Collaboration and Robust Feature Classifier for Open-Vocabulary 3D Object Detection by Hengsong Liu, Tongle Duan

“…Therefore, this paper aims to address two key issues in this area: how to localize and classify novel objects. …”
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Accounting Support for the Audit of Intangible Assets of Agricultural Formations by Yuliia Nehoda

“…The digital transformation of the agricultural sector and the growing role of innovations in production processes actualize the issues of accounting and auditing of intangible assets of agricultural enterprises in Ukraine. …”
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A Multivariable Index for Grading Exercise Gas Exchange Severity in Patients with Pulmonary Arterial Hypertension and Heart Failure by Chul-Ho Kim, Steve Anderson, Dean MacCarter, Bruce Johnson

“…However, use of gas exchange measures in day-to-day clinical practice is limited by several issues, including the large number of variables available and difficulty in data interpretation. …”
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Leveraging Super-Resolution Technology in Drone Imagery for Advanced Plant Disease Diagnosis and Prognosis by Vignesh A. Palan, Shivam Thakur, N. Sumith

“…Plant diseases are among the most alarming issues. To address the challenge of identifying plant diseases from drone-captured images, which often lack sufficient resolution and may lead to mis-classification, we propose Vision-based Image Generation and Analysis Model (VIGAM) framework as a solution. …”
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Development of stress resistance (on an example of athletes’ training) by Altynay Kozhan, Meirimgul Yerkinbekova, Saltanat Omarova, Zhanar Turniyazova, Akmaral Davletova

“…During the research, various methodological tools were used, such as the logical analysis method, the comparative method, the synthesis and deduction methods, the classification method, and the questionnaire method. The scientific work reveals the results of the research in the form of a table showing the results of stress assessment in the group of athletes and students; Factors affecting psychological stability are described; The factors influencing the probability of development of post-traumatic stress disorder are presented. …”
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Real-Time Image Processing Applications in Automatic BGA Inspection System by Chiung-Hsing Chen, Cheng-Chang Chiu, Shao-En Kao, Hsiang Li

“…This article primarily addresses issues in semiconductor manufacturing processes and improves the product yield rate in current production lines. …”
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Chinese Medical Named Entity Recognition Based on Context-Dependent Perception and Novel Memory Units by Yufeng Kang, Yang Yan, Wenbo Huang

“…The current methods have certain limitations in dealing with contextual dependencies and entity memory and fail to fully consider the contextual relevance and interactivity between entities. To address these issues, this paper proposes a Chinese medical named entity recognition model that combines contextual dependency perception and a new memory unit. …”
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The Development of a Lightweight DE-YOLO Model for Detecting Impurities and Broken Rice Grains by Zhenwei Liang, Xingyue Xu, Deyong Yang, Yanbin Liu

“…This model achieves correct recognition, classification, and detection of rice target crops with similar colors in complex environments. …”
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