Detection of disease on nasal breath sound by new lightweight architecture: Using COVID-19 as an example by Jiayuan She, Lin Shi, Peiqi Li, Ziling Dong, Renxing Li, Shengkai Li, Liping Gu, Zhao Tong, Zhuochang Yang, Yajie Ji, Liang Feng, Jiangang Chen

“…Background Infectious diseases, particularly COVID-19, continue to be a significant global health issue. Although many countries have reduced or stopped large-scale testing measures, the detection of such diseases remains a propriety. …”
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A secure and efficient user selection scheme in vehicular crowdsensing by Min Zhang, Qing Ye, Zhimin Yuan, Kaihuan Deng

“…At present, user selection schemes have the following lacks: (1) Privacy protection and data security are often neglected, resulting in reduced user participation willingness. (2) Insufficient data quality assurance and challenges in processing high-dimensional redundant data remain significant issues. (3) Key exchange protocols rely on traditional cryptographic algorithms, which struggle to comply with Chinese cryptographic standards and incur high overhead. …”
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Statistics of interregional differences and the status of budgetary system of the Russian Federation by О. V. Morozov, A. G. Biryukov, M. A. Vasiliev

“…Tabular and graphic methods of visualization of research results, statistical methods of processing of initial data were used. To solve the problems of the study, standard Microsoft application packages were used.  …”
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Chemical Composition and Sensory Profile of Sauerkraut from Different Cabbage Hybrids by Elena V. Yanchenko, Galina S. Volkova, Elena V. Kuksova, Ivan I. Virchenko, Aleksey V. Yanchenko, Elena M. Serba, Maria I. Ivanova

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Design of Block-Scrambling-Based privacy protection mechanism in healthcare using fusion of transfer learning models with Hippopotamus optimization algorithm by Ghada Moh. Samir Elhessewi, Mohammed Yahya Alzahrani, Mohammad Alamgeer, Abdulbasit A. Darem, Da’ad Albalawneh, Mohammed Alqahtani, Mutasim Al Sadig, Sultan Alanazi

“…Nearly 30–70% of individuals globally have skin-related health issues, for whom efficient and effective analysis is essential. …”
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Leveraging AI to Drive Timely Improvements in Patient Experience Feedback: Algorithm Validation by Mustafa Khanbhai, Catalina Carenzo, Sarindi Aryasinghe, David Manton, Erik Mayer

“…ObjectiveLeveraging machine learning and natural language processing, this study explores the utility of a supervised algorithm to systematically test and refine the algorithm’s cross-contextual performance in diverse health care settings, addressing variations in population characteristics, geographical locations, and care settings, ultimately driving improvements based on patient feedback. …”
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Tumor infection with human herpes viruses and features of peripheral blood lymphocyte subset composition in patients with uveal melanoma by Elena V. Svetlova, N. V. Balatskaya, I. G. Kulikova, S. V. Saakyan, I. V. Svirina, A. E. Andryushin, E. B. Myakoshina

“…The control group included 33 healthy donors. Statistical data processing was performed using “Biostatd”, “Excel” (t — Student’s t-test, level of statistical significance: p 0.05) software. …”
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Application of cognitive technologies for the formation of speech dialogue management models by A. A. Solodov, Т. G. Trembach

“…The speech dialogue management models covers many issues related to processing a speech signal, semantic analysis, understanding the meaning of speech, using cognitive mechanisms for interaction, and some others. …”
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SPUFChain: Permissioned Blockchain Lightweight Authentication Scheme for Supply Chain Management Using PUF of IoT by Mohammad Iqbal Saryuddin Assaqty, Ying Gao, Abeer D. Algarni, Siraj Khan, Mohuya Chakraborty, Hafied Nur Siddiqi, Sadique Ahmad

“…The complexity of the entire process of supply chain management (SCM) is quite cumbersome and traditional way of handling it is devoid of proper authentication and security and very often suffers from human errors in dealing with flaws in quality control process of SCM. …”
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A Robust Tuberculosis Diagnosis Using Chest X-Rays Based on a Hybrid Vision Transformer and Principal Component Analysis by Sameh Abd El-Ghany, Mohammed Elmogy, Mahmood A. Mahmood, A. A. Abd El-Aziz

“…Additionally, it streamlines the diagnostic process, reducing time and costs for patients and lessening the workload on healthcare professionals. …”
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PSYCHOLOGICAL READINESS OF SECONDARY VOCATIONAL EDUCATION TEACHERS FOR MASTERING NEW ACTIVITIES IN THE CONTEXT OF PROFESSIONAL REORIENTATION by I. I. Khasanova, S. S. Kotova

“…The materials of the present paper can be useful for managerial staff, psychologists and training specialists of the SPE system who are engaged in the issues of teacher professional development.…”
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Strengthening the Efficiency of Parliamentary Oversight Bodies to Enhance Anti-Corruption Control, Transparency, Political Accountability, and Responsibility by Tony Duba, Thakaramahlaha Lehohla

“…The research entailed qualitative interviews being held. The processing of the results comprised narratives expressing the general view of participants as well as graphical representation based on the data collected. …”
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Emerging Technologies for 6G Non-Terrestrial-Networks: From Academia to Industrial Applications by Cong T. Nguyen, Yuris Mulya Saputra, Nguyen Van Huynh, Tan N. Nguyen, Dinh Thai Hoang, Diep N. Nguyen, Van-Quan Pham, Miroslav Voznak, Symeon Chatzinotas, Dinh-Hieu Tran

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Concrete Crack Detection and Segregation: A Feature Fusion, Crack Isolation, and Explainable AI-Based Approach by Reshma Ahmed Swarna, Muhammad Minoar Hossain, Mst. Rokeya Khatun, Mohammad Motiur Rahman, Arslan Munir

“…Builders and engineers often face difficulties with image resolution, detecting fine cracks, and differentiating between structural and non-structural issues. Enhanced algorithms and analysis techniques are needed for more accurate assessments. …”
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Deep learning based approaches for intelligent industrial machinery health management and fault diagnosis in resource-constrained environments by Ali Saeed, Muazzam A. Khan, Usman Akram, Waeal J. Obidallah, Soyiba Jawed, Awais Ahmad

“…Initially, we classify the existing IFD methods into three distinct perspectives: the method of processing data, which aims to optimize inputs for the intelligent fault diagnosis model and mitigate limitations in the training sample set; the method of constructing the model, which involves designing the structure and features of the model to enhance its resilience to challenges; and the method of optimizing training, which focuses on refining the training process for intelligent fault diagnosis models and emphasizes the importance of ideal data in the training process. …”
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MOCVD Grown InGaAs/InAlAs Quantum Cascade Lasers Emitting at 7.7 μm by Maciej Bugajski, Andrzej Kolek, Grzegorz Hałdaś, Włodzimierz Strupiński, Iwona Pasternak, Walery Kołkowski, Kamil Pierściński

“…The grown structures were processed into mesa Fabry-Perot lasers using dry etching RIE ICP processing technology. …”
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Cost-Efficient RSSI-Based Indoor Proximity Positioning, for Large/Complex Museum Exhibition Spaces by Panos I. Philippopoulos, Kostas N. Koutrakis, Efstathios D. Tsafaras, Evangelia G. Papadopoulou, Dimitrios Sigalas, Nikolaos D. Tselikas, Stefanos Ougiaroglou, Costas Vassilakis

“…RSSI data, temporal and spatial management with simple low-processing methods adopted, achieved a maximum prediction accuracy average of 81.53% across all datasets, while ML algorithms (Random Forest) achieved a maximum prediction accuracy average of 87.24%.…”
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Separation and Identification of Non-Volatile Sour and Bitter Substances in <i>Amomum villosum</i> L. by Ultra-Performance Liquid Chromatography/Quadrupole Time-of-Flight Mass Spec... by Yang Chen, Ziwei Liao, Weiqin Li, Zhe Wang, Wan Tang, Qiang Yang, Jian Xu

“…Due to its unique aroma, it is widely used in alcoholic beverages and food processing. Unfortunately, issues with bitterness and sourness occur, which affect the taste and quality of processed products. …”
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Deep Learning in Digital Breast Tomosynthesis: Current Status, Challenges, and Future Trends by Ruoyun Wang, Fanxuan Chen, Haoman Chen, Chenxing Lin, Jincen Shuai, Yutong Wu, Lixiang Ma, Xiaoqu Hu, Min Wu, Jin Wang, Qi Zhao, Jianwei Shuai, Jingye Pan

“…Deep learning (DL) has been shown to effectively increase the processing efficiency and diagnostic accuracy of DBT images. …”
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