OCCUPATIONAL RISK FOR EMPLOYEES OF MODERN PRODUCTION OF EPICHLOROHYDRIN IN DYNAMICS OF MEDICAL EXAMINATIONS by N. M. Meshchakova, S. F. Shayakhmetov, M. P. Dyakovich

“…This study aimed to reveal the health disorder peculiarities in the employees of the modern production ofepichlorohydrin (EPCH) based on using the automatized system of the quantitative risk assessment of the main common pathological syndromes (RMCPS) and the results of medical examinations performed in dynamics. …”
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ExActR: A Shiny app for creating ecosystem extent accounts by Anthony Gibbons, Francesco Martini, Cian White, Emma King, Jane C. Stout, Ian Donohue, Andrew Parnell

“…The app is built in R and the associated Shiny framework, which automatically updates as the user interacts with it. …”
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Detection of Bipolar Disorder and Schizophrenia Employing Bayesian-Optimized Grad-CAM-Driven Deep Learning by Osman Tayfun Bişkin, Cemre Candemir, Mustafa Alper Selver

“…Diagnosing bipolar disorder (BD) and schizophrenia (SCH) presents significant challenges due to overlapping symptoms, reliance on subjective assessments, and the late-stage manifestation of many symptoms. …”
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Video-Based Respiratory Rate Estimation for Infants in the NICU by Soodeh Ahani, Nikoo Niknafs, Pascal M. Lavoie, Liisa Holsti, Guy A. Dumont

“…., 19 to 25) randomly selected videos, each lasting 1 minute, for each case.Results: Intraclass correlation coefficients of the proposed method over manually and automatically selected ROIs are 0.91 (95%CI: <inline-formula> <tex-math notation="LaTeX">$0.89-0.93$ </tex-math></inline-formula>) and 0.88 (95%CI: <inline-formula> <tex-math notation="LaTeX">$0.85-0.9$ </tex-math></inline-formula>), indicating excellent and good reliability, respectively. …”
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Advanced Detection of Violence From Video: Performance Evaluation of Transformer and State of the Art of Convolution of Neural Network Transformer by Abdulrahman Alshalawi, Wadood Abdul, Ghulam Muhammad

“…To further verify the performance of the Transformer model, we tested it on the Road-Anomaly Dataset, which presents a challenging scenario with imbalanced classes. …”
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Digitalization of control and supervision activities: Russian and French experience by Elena V. Gritsenko, Pavel A. Kuryndin

“…Also, it is necessary to define additional guarantees to citizens during interactions with technical support services; defining standards for the legal qualification of technical failures, pre-trial and judicial appeal mechanisms against automatically made decisions.…”
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The Utilization of Electronic Consultations (eConsults) to Address Emerging Questions Related to Long COVID-19 in Ontario, Canada: Mixed Methods Analysis by Jatinderpreet Singh, Michael Quon, Danica Goulet, Erin Keely, Clare Liddy

“…Its diverse clinical presentations make effective diagnosis and management at the primary care level difficult, while specialist services for long COVID face extensive wait times. …”
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Defining Authenticity of the Y Balance Test Implemented by an Intellectual Programmed Tool in Inclusive Physical Education by Oksana Blavt, Fedir Zahura, Tetiana Helzhynska, Khrystyna Khimenes, Mykhailo Huska, Tetyana Gurtova, Lіubov Levandowska, Rostyslav Tymkovych

“…Results. The results are presented in a developed intelligent programmable tool for LQYBT implementation. …”
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The uncanny valley effect and immune activation in virtual reality by Esther K. Diekhof, Svenja Kastner, Donna Deinert, Monika Foerster, Frank Steinicke

“…Moreover, the immune response may have been automatically triggered by perceived threats from these agents, as conscious evaluations of interoceptive awareness, state anxiety, and eeriness during VR did not correlate with higher antibody release. …”
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Implementasi Load Balancing dan Failover to Device Mikrotik Router Menggunakan Metode NTH (Studi Kasus: PT.GO-JEK Indonesia) by Achmmad Mustofa, Desi Ramayanti

“…Abstract The development of computer networks and internet so rapidly at the present time, particularly on the Internet as information media of course must have good connection quality. …”
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SMArt Retro study: a retrospective data analysis of the Russian registry of patients with spinal muscular atrophy by D. V. Vlodavets, O. A. Shchagina, A. V. Polyakov, S. I. Kutsev

“…Study participants who met the inclusion criteria were automatically identified in the integrated database of the SMA 5q patient registry. …”
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YOLOv8-E: An Improved YOLOv8 Algorithm for Eggplant Disease Detection by Yuxi Huang, Hong Zhao, Jie Wang

“…Deep learning-based object detection algorithms can automatically extract features from images of eggplants affected by diseases. …”
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An automation framework for clinical codelist development validated with UK data from patients with multiple long-term conditions by A. Aslam, L. Walker, M. Abaho, H. Cant, M. O’Connell, A. S. Abuzour, L. Hama, P. Schofield, F. S. Mair, R. A. Ruddle, O. Popoola, M. Sperrin, J. Y. Tsang, E. Shantsila, M. Gabbay, A. Clegg, A. A. Woodall, I. Buchan, S. D. Relton

“…Methods (Automated Framework Design and Use-case: DynAIRx) Here we present a Codelist Generation Framework that can automate generation of codelists with minimal input from clinical experts. …”
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Adaptive anomaly detection disruption prediction starting from first discharge on tokamak by X.K. Ai, W. Zheng, M. Zhang, Y.H. Ding, D.L. Chen, Z.Y. Chen, B.H. Guo, C.S. Shen, N.C. Wang, Z.J. Yang, Z.P. Chen, Y. Pan, B. Shen, B.J. Xiao, J-TEXT team

“…Plasma disruption presents a significant challenge in tokamak fusion, especially in large-size devices like ITER, where it causes severe damage. …”
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Analysis of fault detection and defect categorization in photovoltaic inverters for enhanced reliability and efficiency in large-scale solar energy systems by Malik Stephanie, Daßler David, Patel Dharm, Klute Carola, Klengel Robert, Dietrich Andreas, Kaufmann Kai, Hennig Carsten, Wehnert Danny, Ebert Matthias

“…This study presents a systematic approach for examining the performance and vulnerability of large-scale, grid-connected PV systems in relation to inverter faults − particularly those linked to insulated-gate bipolar transistor (IGBT) component. …”
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Deep Learning for the Early Diagnosis of Candidemia by Daniele Roberto Giacobbe, Sabrina Guastavino, Anna Razzetta, Cristina Marelli, Sara Mora, Chiara Russo, Giorgia Brucci, Alessandro Limongelli, Antonio Vena, Malgorzata Mikulska, Alessio Signori, Antonio Di Biagio, Anna Marchese, Ylenia Murgia, Marco Muccio, Nicola Rosso, Michele Piana, Mauro Giacomini, Cristina Campi, Matteo Bassetti

“…Abstract Introduction Candidemia carries a heavy burden in terms of mortality, especially when presenting as septic shock, and its early diagnosis remains crucial. …”
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Macro Memory Cell Generator for SKY130 PDK by Emilio Isaac Baungarten-Leon, Susana Ortega-Cisneros, German Pinedo-Diaz, Miguel Angel Rivera Acosta, Francisco Javier Rodriguez Navarrete, Uriel Jaramillo-Toral, Cristian Torres Gonzlez, Juan Carlos Garcia Lopez

“…The framework then automatically generates multiple memory arrays that meet the specified requirements. …”
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Development and internal validation of the Edmonton Obesity Staging System-2 Risk screening Tool (EOSS-2 Risk Tool) for weight-related health complications: a case-control study in... by Evan Atlantis, P Fahey, Kathryn Williams, Paul Dugdale, James Rufus John, SL Hocking, Kath Peters

“…The final model was chosen based on the area under the receiver operating characteristic curve and the Hosmer-Lemeshow statistic; and validated using sensitivity, specificity and positive predictive value.Setting and participants We analysed cross-sectional data from the Australian Health Survey 2011–2013 sample aged between 18 and 65 years (n=7518) with at least overweight and obesity.Results An EOSS≥2 classification was present in 78% of the sample. Of 14 candidate risk factors, 6 (family history of diabetes, hypertension, high sugar in blood/urine, high cholesterol and self-reported bodily pain and disability) were automatically included based on definitional or obvious correlational criteria. …”
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An enhanced fusion of transfer learning models with optimization based clinical diagnosis of lung and colon cancer using biomedical imaging by N. A. S. Vinoth, J. Kalaivani, R. Madonna Arieth, S. Sivasakthiselvan, Gi-Cheon Park, Gyanendra Prasad Joshi, Woong Cho

“…Recently, deep learning (DL) proved to be effective in the medical sector, and cancer diagnosis can be made automatically by utilizing the capabilities of artificial intelligence (AI), enabling faster analysis of more cases cost-effectively. …”
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MEMS and IoT in HAR: Effective Monitoring for the Health of Older People by Luigi Bibbò, Giovanni Angiulli, Filippo Laganà, Danilo Pratticò, Francesco Cotroneo, Fabio La Foresta, Mario Versaci

“…In this context, this article presents an IoT application based on MEMS (micro electro-mechanical systems) sensors integrated into a state-of-the-art microcontroller (STM55WB) for recognizing the movements of older individuals during daily activities. human activity recognition (HAR) is a field within computational engineering that focuses on automatically classifying human actions through data captured by sensors. …”
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