Automatic vibration fault detection of coal mine explosion-proof electrical equipment based on One-Class Support Vector Machine by ZHENG Tiehua, WANG Fei, ZHAO Gelan, DU Chunhui

“…As a result, the boundary between normal and fault signals becomes unclear, reducing the accuracy of traditional fault detection methods. To address this issue, an automatic vibration fault detection method for coal mine explosion-proof electrical equipment was proposed based on One-Class Support Vector Machine (OCSVM). …”
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Dose escalation (81 Gy) with image-guided radiation therapy and volumetric-modulated arc therapy for localized prostate cancer: A retrospective preliminary result by Sheng-Yao Huang, Chen-Ta Wu, Dai-Wei Liu, Tzu-Hwei Wang, Yen-Hsiang Liao, Yi-Wei Chen, Wen-Lin Hsu

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Adaptive Focal Loss for Keypoint-Based Deep Learning Detectors Addressing Class Imbalance by Zhihao Su, Afzan Adam, Mohammad Faidzul Nasrudin

“…Keypoint-based deep learning detectors have proven highly effective in object detection tasks by predicting specific keypoints to determine object classification and location. Examples include CornerNet, CenterNet, ExtremeNet, RetinaNet, FCOS, and ObjectBox. …”
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Characteristics of surveillance systems for suicide and self-harm: A scoping review. by Aline Conceição Silva, Amanda Sarah Vanzela, Laysa Fernanda Silva Pedrollo, John Baker, José Carlos Marques de Carvalho, Carlos Alberto da Cruz Sequeira, Kelly Graziani Giacchero Vedana, José Carlos Pereira Dos Santos

“…<h4>Background</h4>Suicide is a complex public health issue. Surveillance systems play a vital role in identifying trends and epidemiologic needs, informing public health strategies, and tailoring effective context-based suicide prevention interventions.…”
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Role of Otoendoscopy in Evaluation of Tympanic Membrane Retraction - A New Perspective by Uday Monga, Mahima Luthra, Sampan Singh Bist, Bhartendu Bharti, Vinish Kumar Agarwal

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THE IMPACT OF DIGITAL INNOVATIONS ON THE DEVELOPMENT OF AGRICULTURAL BUSINESS by Inna Tomashuk, Svitlana Koliadenko, Mykhailo Burdіak

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Uncertainty-aware diabetic retinopathy detection using deep learning enhanced by Bayesian approaches by Mohsin Akram, Muhammad Adnan, Syed Farooq Ali, Jameel Ahmad, Amr Yousef, Tagrid Abdullah N. Alshalali, Zaffar Ahmed Shaikh

“…Traditional deep learning models rely on single-point predictions, limiting their ability to provide uncertainty measures essential for robust clinical decision-making. To solve this issue, Bayesian approximation approaches have evolved and are gaining market traction. …”
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SERVICE IN LOCAL GOVERNMENT BODIES: LEGAL BASIS AND FEATURES IN THE CONDI- TIONS OF THE MARITAL STATE by Olena P. Pysmenna, Oksana V. Kuran

“…It is determined that local self-government is an impor- tant element of public administration which ensures the realization of the rights and interests of citizens at the local level. This issue becomes especially relevant against the background of current challenges associ- ated with the armed aggression of the Russian Federation against Ukraine. …”
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Pattern of admission of stroke in Benghazi Medical Center: A cross-sectional study by Mohamed Ali Ibrahim Hamedh, Khaled D Alsaeiti

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METHODICAL APPROACHES FOR ASSESSING THE FINANCIAL STABILITY OF INSURANCE COMPANIES by I. Abernikhina, O. Toporkova, І. Sokyrynska, L. Shylo

“…Keywords: financial stability, insurance company, methodological approaches, assessment of financial stability. JEL Classification C1, G22, O16 Formulas: 0; fig.: 0; tabl.: 5; bibl.: 20. …”
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Altered lower leg muscle activation patterns in patients with cerebral palsy during cycling on an ergometer by Alves-Pinto A, Blumenstein T, Turova V, Lampe R

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Occurrence of ADHD in parents of ADHD children in&amp;nbsp;a clinical sample by Starck M, Gruenwald J, Schlarb A

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Assessing antimicrobial consumption in public and private sectors within the Costa Rican health system: current status and future directions by José Pablo Díaz-Madriz, Carolina Rojas-Chinchilla, Esteban Zavaleta-Monestel, Shing Mi Ching-Fung, Hugo Marin-Piva, Gustavo H Marin, Lucia Giangreco

“…According to the WHO-AWaRe (Access-Watch-Reserve) classification, antibiotics predominantly consumed nationally (74.7%) and in the public (83.0%) sectors are categorized under Access, whereas the private (61.0%) sector predominates the Watch category. …”
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Realizing the promise of machine learning in precision oncology: expert perspectives on opportunities and challenges by Vasileios Nittas, Kelly E. Ormond, Effy Vayena, Alessandro Blasimme

“…Some remarkable developments have taken place in the domain of image classification tasks in areas such as digital pathology and diagnostic radiology. …”
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Magnetic resonance imaging diagnosis of rotator cuff tears in subacromial impingement syndrome: A retrospective analysis of large series of cases from a single center by Reddy Ravikanth, Pooja Majumdar

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Serum Interleukin-6, Interleukin-17A, and transforming growth factor beta are raised in systemic sclerosis with interstitial lung disease by Anupam Wakhlu, Rasmi Ranjan Sahoo, Jyoti Ranjan Parida, Mohit K Rai, Durga P Misra, Vinita Agrawal, Vikas Agarwal

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A text clarification and deep relational reasoning method for Mongolian-Chinese bilingual arbitrary-shaped scene text detection by Yuefeng Liu, Liuxu Ding, Yunong Liu

“…To enable joint detection of Mongolian and Chinese text, our approach constructs a bold text outline map using classification and regression branches to extract keypoints and edges. …”
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Real-time detection and monitoring of public littering behavior using deep learning for a sustainable environment by Eaman Alharbi, Ghadah Alsulami, Sarah Aljohani, Waad Alharbi, Somayah Albaradei

“…Given the annual global plastic consumption of approximately 475 million tons and the pervasive issue of public littering, addressing this challenge has become critically urgent. …”
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Impact of Systemic Lupus Erythematosus on Health-Related Quality of Life in Colombian Patients: A Cross-Sectional Analytical Study by Fonseca-Zuluaga PA, Pérez-Ocampo J, Velásquez-Franco CJ, Hernandez JC, Higuita-Gutiérrez LF

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Medicinal Plant-Derived Exosome-Like Nanovesicles as Regulatory Mediators in Microenvironment for Disease Treatment by Feng Z, Huang J, Fu J, Li L, Yu R, Li L

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