An Early Detection of Asthma Using BOMLA Detector by Md. Abdul Awal, Md. Shahadat Hossain, Kumar Debjit, Nafiz Ahmed, Rajan Dev Nath, G. M. Monsur Habib, Md. Salauddin Khan, Md. Akhtarul Islam, M. A. Parvez Mahmud

“…Asthma is a chronic and airway-induced disease, causing the incidence of bronchus inflammation, breathlessness, wheezing, is drastically becoming life-threatening. Even in the worst cases, it may destroy the quality to lead. …”
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The main approaches to the formation of competence in the field of diagnostics of circuits based on FPGA by Yuriy V. Shapovalov, Boris N. Chugaev

“…Requirements for STD greatly depend on the stage of “life project” (design, manufacture or operation) during which the technical diagnostics is carried out. …”
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Anomaly-Aware Tropical Cyclone Track Prediction Using Multi-Scale Generative Adversarial Networks by He Huang, Difei Deng, Liang Hu, Nan Sun

“…Accurate methods for forecasting TC tracks are essential to mitigate the loss of life and property associated with these hazards. …”
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Integration of flexible corporate demographic policy tools into the personnel management system by Natalya V. Tonkikh, Marina V. Chudinovskikh, Svetlana V. Begicheva

“…The paper presents a model and an algorithm for integrating flexible organizational and labour tools of corporate demographic policy into the personnel management system. …”
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Student initiative in international projects on preventive cardiology. by T. A. Khomazyuk, V. Yu. Krotova, Н. A. Kosova, M. G. Kirichko

“…Professional socialization is the ultimate link in the professional way of the individual. The algorithm of professional socialization of students in higher education consists of the following stages: professional orientation → professional development → professional adaptation → professional becoming → professional socialization. …”
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Estimation of Current RMS for DC Link Capacitor of S-PMSM Drive System by ZHANG Zhigang, CHANG Jiamian, ZHANG Pengcheng

“…The proposed technique simplifies the tedious calculation process of traditional algorithms and guarantees high calculation accuracy, providing guidance for optimizing the selection of DC link capacitors and the design of life monitoring controllers. …”
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Network-based predictive models for artificial intelligence: an interpretable application of machine learning techniques in the assessment of depression in stroke patients by Wenwei Zuo, Xuelian Yang

“…Abstract Background Depression is a common complication after a stroke that may lead to increased disability and decreased quality of life. The objective of this study was to develop and validate an interpretable predictive model to assess the risk of depression in stroke patients using machine learning (ML) methods. …”
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Numerical Prediction of Solid Particle Erosion in Jet Pumps Based on a Calibrated Model by Xuanchen Wan, Mengxue Dong, Maosen Xu, Chuanhao Fan, Jiegang Mou, Shuai Han

“…The Grey Wolf Optimization algorithm was applied to calibrate model coefficients. …”
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Optimizing Organic Rankine Cycle (ORC) configurations integrated with transient industrial waste heat: a multi-objective approach by Yohan Engineer, Ahmed Rezk, Mahmoud B. Elsheniti, Ehsan Baniasadi, Ahmed Fouly

“…The non-linear programming by quadratic Lagrangian, a computational unintensive yet accurate optimization algorithm, was utilized for the multi-objective optimization. …”
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EVOLUTION OF THE AGRICULTURAL LABOUR MARKET IN THE EUROPEAN UNION BETWEEN 2011-2020 by Cristina Vasilica ICOCIU, Ana-Maria IFRIM, Cătălin Ionuț SILVESTRU, Marius-Mihai MICU

“…In the current context, in which the pandemic crisis is wreaking havoc in all socio-economic fields, causing both loss of life and immeasurable economic losses, fundamental research conducted to identify directions for rapid and sustainable socio-economic recovery is of great importance. …”
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Enhanced Artificial Rabbit Optimization with attention-based deep learning for leukemia cancer classification by Sabita Rani Behera, Bibudhendu Pati, Devee Sivaprasad Dulam

“…Abstract Background Leukemia is a life-threatening cancer disease that affects people of all age groups and is a substantial cause of mortality globally. …”
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Robustness evaluation of commercial liveness detection platform by Pengcheng WANG, Haibin ZHENG, Jianfei ZOU, Ling PANG, Hu LI, Jinyin CHEN

“…Liveness detection technology has become an important application in daily life, and it is used in scenarios including mobile phone face unlock, face payment, and remote authentication.However, if attackers use fake video generation technology to generate realistic face-swapping videos to attack the living body detection system in the above scenarios, it will pose a huge threat to the security of these scenarios.Aiming at this problem, four state-of-the-art Deepfake technologies were used to generate a large number of face-changing pictures and videos as test samples, and use these samples to test the online API interfaces of commercial live detection platforms such as Baidu and Tencent.The test results show that the detection success rate of Deepfake images is generally very low by the major commercial live detection platforms currently used, and they are more sensitive to the quality of images, and the false detection rate of real images is also high.The main reason for the analysis may be that these platforms were mainly designed for traditional living detection attack methods such as printing photo attacks, screen remake attacks, and silicone mask attacks, and did not integrate advanced face-changing detection technology into their liveness detection.In the algorithm, these platforms cannot effectively deal with Deepfake attacks.Therefore, an integrated live detection method Integranet was proposed, which was obtained by integrating four detection algorithms for different image features.It could effectively detect traditional attack methods such as printed photos and screen remakes.It could also effectively detect against advanced Deepfake attacks.The detection effect of Integranet was verified on the test data set.The results show that the detection success rate of Deepfake images by proposed Integranet detection method is at least 35% higher than that of major commercial live detection platforms.…”
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Advanced analysis of defect clusters in nuclear reactors using machine learning techniques by Shuai Ren, Xinyu Zhang, Huizhao Li, Changjun Hu, Dandan Chen

“…By uncovering the formation and evolution of defects, this paper provides critical insights for enhancing the radiation resistance of reactor materials and extending their service life. The contributions of this study are as follows: (1) Integration of a large-scale molecular dynamics (MD) dataset generated by cascade collisions and the application of machine learning (ML) techniques to investigate point defects and their clusters in reactor pressure vessel (RPV) materials; (2) Proposal of a novel clustering method based on physical characteristics, enabling efficient classification of defect clusters while effectively reducing data noise; (3) Development of a component-based defect cluster configuration recognition method using a dual-pointer lattice-filling technique, accurately capturing all defects and identifying several cluster morphologies observed in experiments; (4) Demonstration of the algorithm’s outstanding performance in handling systems containing millions of atomic coordinates, showcasing its scalability and robustness; (5) Visualization of the three-dimensional spatial distribution of defect clusters and provision of two-dimensional spatial density distribution maps for vacancy clusters and interstitial clusters, offering precise characterization of spatial relationships within defect clusters and new insights into the irradiation mechanisms of materials.…”
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The Creation, Analysis and Applications of τ-Σ Chart in the Pulsed Neutron Attenuation by KANG Xiaoquan, HU Youliang, FAN Leyuan, LIU Houwu, FU Xin, TIAN Jian

“…The results show that τ-Σ chart improved the processing algorithm and results, and the quality control of logging data by τ-Σ chart can be more effective. …”
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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

“…Afterwards, features are selected employing the Skill Optimization Algorithm (SOA). Thereafter, intrusion detection is carried out with Spiking VGG-16. …”
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Spontaneous splenic rupture associated with Q fever and portal hypertension: A case report by Cecil Mustafiz, Cecil Mustafiz, Deloshaan Subhaharan, Deloshaan Subhaharan, Daniel Chorley, Tariq Masood

“…Spontaneous splenic rupture (SSR) is an exceptionally rare and life-threatening condition, with its pathophysiology remaining poorly understood. …”
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A review of state-of-the-art resolution improvement techniques in SPECT imaging by Zhibiao Cheng, Ping Chen, Jianhua Yan

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Bayesian Analysis Enhances Sales and Warranty Strategies for Repairable Industrial Products by Considering Hybrid Deterioration Modes by Chih-Chiang Fang, Liping Ma, Wenfeng Kuo

“…To attract more customers and drive sales, companies may extend the service life of their products. However, they cannot offer unlimited warranties to dominate the market, as the associated warranty costs will ultimately outweigh the profits. …”
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Developing an SSVEP-Based BCI System for Multi-Objective Control via IoT Integration by Jinsha Liu, Boning Li, Takaharu Yamazaki, Jianting Cao

“…This research addresses the challenges of adapting BCI system to complex, varied environments and provides a viable solution for improving the quality of life for those with severe motor disabilities.…”
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GUIDELINE FOR MEDICO-SOCIAL CARE DEPARTMENTS IN CHILDREN’S POLYCLINICS by V. Yu. Al'bitskii, N. V. Ustinova, O. V. Kulikov, A. V. Kim, M. V. Muratova, Z. A. Roslova, N. V. Timakova, A. L. Rubezhov, A. Z. Farrakhov, R. F. Shavaliev

“…Secondly, the common algorithm of this type of care was described (sociological methods — participant observation, in-depth interviews, experts interviews — were used). …”
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