Principles of IP-Court Activity in Ukraine by S. V. Volovyk

“…The concept of “principles” and their classification have been defined. The author has noted the importance of international principles of court activity in Ukraine. …”
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ACCOUNTING FOR EMBEDDED DERIVATIVES by Yuliya A. Tarasova

“…Such terms as ‘hybrid contract’ and ‘in-built finance tools derivative’ were defined. An acute classification of the most widely-spread types of in-built finance tools derivatives was put forward. …”
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Mycoplasma Infection in Human Pathology and the Role of Antibacterial Drugs by A. A. Khryanin, O. V. Reshetnikov

“…The article highlights current issues of classification, pathogenesis, laboratory diagnosis, and treatment of mycoplasma infection of the urogenital tract (M.hominis, U.urealyticum). …”
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Modern approaches to the diagnosis and treatment of cardiogenic shock complicating acute myocardial infarction by A. Yu. Serdechnaya, I. A. Sukmanova

“…This review presents a modern classification of CS and a risk assessment score, considers the main aspects of epidemiology and pathophysiology of CS, discusses issues of its diagnosis and treatment.…”
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On the Concept of Transportation Engineering Investigations by N. N. Il’in

“…The author argues that the significance of these questions goes beyond the theoretical issues of their concept and classification, or definition of the subject, objects and objectives of investigation, and involves such practical aspects as the lack of adequate methodological resources to support most subcategories of examinations. …”
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Problems of systemic connective tissue diseases of childhood in historical perspective by M. I. Kaleda, I. P. Nikishina

“…The article presents the main achievements in the study of this group of diseases in children, with an emphasis on the most significant issues from a practical point of view related to diagnosis, classification, clinical features and modern approaches to treatment.…”
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Identification of sustainable development statements social component objects by T.V. Baranovska, A.P. Dykyi, O.M. Baryshnikova

“…The article deals with the issue of sustainable development statements social component. …”
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ID3RSNet: cross-subject driver drowsiness detection from raw single-channel EEG with an interpretable residual shrinkage network by Xiao Feng, Xiao Feng, Zhongyuan Guo, Zhongyuan Guo, Sam Kwong

“…Extensive experimental results demonstrate that the proposed method achieves the superior classification performance and has found neurophysiologically reliable evidence of classification.…”
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Haemodynamic Patterns of Severe Aortic Stenosis by A. E. Komlev, M. A. Saidova, T. E. Imaev, V. N. Shitov, R. S. Akchurin

“…The authors present up-to-date review of clinical pathophysiology of aortic stenosis (AS) based on differentiation of its haemodynamic patterns, and some actual issues of instrumental diagnostics and classification of AS. …”
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From Neural Networks to Emotional Networks: A Systematic Review of EEG-Based Emotion Recognition in Cognitive Neuroscience and Real-World Applications by Evgenia Gkintoni, Anthimos Aroutzidis, Hera Antonopoulou, Constantinos Halkiopoulos

“…Discussion: These challenges include developing adaptive, real-time processing algorithms, integrating EEG with other inputs like facial expressions and physiological sensors, and a need for standardized protocols for emotion elicitation and classification. Further, related ethical issues with respect to privacy, data security, and machine learning model biases need to be much more proclaimed to responsibly apply research on emotions to areas such as healthcare, human–computer interaction, and marketing. …”
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Advancing Alzheimer’s disease detection: a novel convolutional neural network based framework leveraging EEG data and segment length analysis by Md Nurul Ahad Tawhid, Siuly Siuly, Enamul Kabir, Yan Li

“…We also need to investigate the impact of EEG signal segment length on classification accuracy. To address these issues, a deep learning-based framework is proposed to detect AD using EEG data, focusing on determining the optimal segment length for classification. …”
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Possibilities of Combination of Beta-blockers and Ivabradine in Patients with Stable Angina Pectoris by V. V. Kashtalap, O. L. Barbarash, D. Yu. Sedykh, K. E. Krivoshapova, D. P. Tsygankova, O. V. Tsygankova

“…A prospective observational post-registration study was performed at the Research Institute for Complex Issues of Cardiovascular Diseases. The study included 50 patients with stable angina pectoris (diagnosed by coronary angiography in combination with clinical manifestations of angina of functional class II-III according to the Canadian classification) and an initial sinus rhythm with a heart rate of more than 70 beats per minute. …”
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Towards a standardized reporting of the impact of magnetic resonance imaging on the decision-making of thoracolumbar fractures without neurological deficit: Conceptual framework an... by Mohamed M. Aly, Sebastian F. Bigdon, Ulrich J.A. Speigl, Gaston Camino-Willhuber, Saleh Baeesa, Klaus J. Schnake

“…Introduction: A recent meta-analysis showed that only four prior studies have shown that magnetic resonance imaging (MRI) can change the fracture classification in 17% and treatment decisions in 22% of cases. …”
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DRCO: Dense-Label Refinement and Cross Optimization for Semi-Supervised Object Detection by Yunlong Qin, Yanjun Li, Feifan Ji, Yan Liu, Yu Wang, Ji Xiang

“…For the inconsistency between classification scores and localization quality, Comprehensive FRS (cFRS) is proposed to jointly optimize the classification and localization branches more efficiently, thereby obtaining a more comprehensive score. …”
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Sparse Deep Neural Network for Encoding and Decoding the Structural Connectome by Satya P. Singh, Sukrit Gupta, Jagath C. Rajapakse

“…Brain state classification by applying deep learning techniques on neuroimaging data has become a recent topic of research. …”
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Gaussian process latent variable models-ANN based method for automatic features selection and dimensionality reduction for control of EMG-driven systems by Maham Nayab, Asim Waris, Muhammad Jawad Khan, Dokhyl AlQahtani, Ahmed Imran, Syed Omer Gilani, Umer Hameed Shah

“…To overcome such issues, this paper proposes a novel approach that integrates feature reduction techniques with an artificial neural network (ANN) classifier to enhance the accuracy of high-dimensional EMG classification. …”
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Advancing irrigation uniformity monitoring through remote sensing: A deep-learning framework for identifying the source of non-uniformity by Ígor Boninsenha, Daran R. Rudnick, Everardo C. Mantovani, Higor de Q. Ribeiro

“…Class-specific metrics demonstrated high precision, recall, and F1 scores for most patterns, though underrepresented classes, like mechanical issues, showed lower performance. The methodology was applied to 80 pivots in Mato Grosso (January–October 2024) using 2752 images, integrating classification results with the Satellite-Derived Christiansen Uniformity Coefficient (SDCUC). …”
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COVID-19 risk stratification among older adults: a machine learning approach to identify personal and health-related risk factors by Arezoo Abasi, Seyed Abbas Motevalian, Haleh Ayatollahi

“…SHAP analysis revealed that household hygiene practices and health-related issues, such as hypertension and Gastrointestinal symptoms were key drivers of risk classification. …”
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In-Service Power Transformer Life Time Prospects: Review and Prospects by Edwell. T. Mharakurwa

“…Hence, it is necessary to investigate transformer life time issues so as to fully grasp the operational and performance status in order to reduce failures and operating costs. …”
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Study of gel electrolytes for lithium-ion batteries by Feng Qidong

“…However, solid- state batteries still have key issues such as poor solid-solid interface contact, short cycle life and high cost of large-scale production. …”
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