Features of cardiac rhythm disorders and conduction disturbances in patients with arterial hypertension by A. M. Vasylenko

“…Cardiac arrhythmias and conduction disorders were detected by means of Holter ECG. Statistical analysis was carried out on a personal computer, using such programs as Excel-7.0 (Microsoft Corp., USA) and «Statistica® for Windows 6.0» (StatSoft Inc., License number AXXR712D833214FAN5) through parametric and nonparametric methods. …”
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FEATURES OF ADOLESCENTS TUBERCULOSIS AT A REFERRAL TB'S HOSPITAL IN TEHRAN, IRAN by Ferial Lotfian, Mohammad Reza Bolursaz, soheila Khalilzadeh, Noshin Baghaie, Maryam Hassanzad, Aliakbar Velayati

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A Study on the Classification of Atopic Dermatitis by Spectral Features of Hyperspectral Imaging by Eun Bin Kim, Yoo Sang Baek, Onseok Lee

“…First, the expansion of blood vessels and structural changes in the lesion area were confirmed between 550 and 650 nm, and information analysis of the lesion features was confirmed through the difference in the rate of change between the visible and near-infrared (NIR) areas. …”
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Characteristics of clinical features and drug sensitivity of Nontuberculous Mycobacterial Pulmonary Disease by Mr Ruslan Khachetlov, Valentina Tinkova, Ilona Gudieva, Irina Lizinfeld, Alexandra Gracheva

“…The retrospective analysis included 71 patients with pulmonary mycobacteriosis treated as inpatients between September 2022 and August 2023. …”
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Young-Onset Amyotrophic Lateral Sclerosis: Genetic Structure and Phenotypic Features by Denis V. Shevchuk, Natalya Yu. Abramycheva, Arina R. Protsenko, Darya A. Grishinа, Angelina G. Makarova, Maria N. Zakharova

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Causes of intraventricular hemorrhages in extremely premature newborns and features of their early outcomes by V. V. Kocherova, N. G. Popova, V. A. Shcherbak

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Prognostic, oncogenic roles, and pharmacogenomic features of AMD1 in hepatocellular carcinoma by Youliang Zhou, Yi Zhou, Jiabin Hu, Yao Xiao, Yan Zhou, Liping Yu

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Histopathologic features and parameters predicting recurrence potential of small renal masses by Senad Bajramović, Berina Hasanović, Jasmin Alić, Nirvana Šabanović Bajramović, Damir Aganović

“…Our results emphasized the importance of histopathological features and treatment modalities in predicting malignant recurrence.…”
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Physiological features of the antioxidant system of the Equus caballus organism of different genotypes by Petrus K. Amulungu, Aleksandr V. Tkachev, Olga L. Tkacheva

“…In modern physiology, the features of the functional state of the body are increasingly being studied not in terms of breeds, age, and animal husbandry technologies, but in terms of DNA markers. …”
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Study of myelodysplastic features in patients with myelodysplastic syndromes by multicolor flow cytometry by O. Yu. Davydova, I. V. Galtseva, E. N. Parovichnikova, A. V. Kokhno, N. M. Kapranov, V. V. Troitskaya, E. A. Mikhailova, Z. T. Fidarova, T. N. Moiseeva, L. A. Kuzmina, E. A. Lukina, T. N. Obukhova, L. A. Grebenyuk, A. M. Kovrigina, V. N. Dvirnyk, V. G. Savchenko

“…The control group included 35 donors of allogeneic bone marrow. The analysis resulted in a conclusion on the Ogata score scale, the Wells prognostic scale and the combined Ogata–Wells scale. …”
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Features of the course of whooping cough in children of the first three years of life by V. N. Timchenko, A. I. Petrakova, T. A. Kaplina, S. L. Bannova, E. V. Barakina, V. F. Sukhovetskaya, A. N. Nazarova, O. A. Leonicheva, O. V. Bulina, S. V. Buymistrov, N. A. Sidorova

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Insulation Condition Assessment of High-Voltage Single-Core Cables Via Zero-Crossing Frequency Analysis of Impedance Phase Angle by Fang Wang, Zeyang Tang, Zaixin Song, Enci Zhou, Mingzhen Li, Xinsong Zhang

“…An impedance spectroscopy analysis model of the frequency response of high-voltage single-core cables under different aging conditions has been established. …”
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Features of the Epidemic Process of Viral Hepatitis A and E in the Russian Federation by A. N. Kaira, O. A. Svitich

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A fine-grained human facial key feature extraction and fusion method for emotion recognition by Shiwei Li, Jisen Wang, Linbo Tian, Jianqiang Wang, Yan Huang

“…Additionally, the comparative analysis shows that emotional features across different faces show similarities. …”
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RESEARCH ON VISUAL DETECTION METHOD OF SOUND FILM BROKEN GLUE DEFECT by Jianchun Liu, Xunjin Jiang, Chaoqi Huang, Yuquan Lin

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Abnormality-aware multimodal learning for WSI classification by Thao M. Dang, Qifeng Zhou, Yuzhi Guo, Hehuan Ma, Saiyang Na, Thao Bich Dang, Jean Gao, Junzhou Huang

“…By combining abnormal detection with multimodal feature integration, our framework offers an efficient and scalable solution for advancing computational pathology.…”
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A Mobile Analytical Chemistry Workstation with a C4D Sensor for Rapid Detection of Organophosphates Under Field Conditions by Yineng Wang, Xi Cao, Walter Messina, Anna Maria Hogan, Justina Ugwah, Eric Moore

“…The system features a streamlined workflow that includes in-field sample collection, microfluidic analysis, and the wireless transmission of data to a central command centre for immediate decision-making. …”
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Review of malware detection and classification visualization techniques by Jinwei WANG, Zhengjia CHEN, Xue XIE, Xiangyang LUO, Bin MA

“…With the rapid advancement of technology, network security faces a significant challenge due to the proliferation of malicious software and its variants.These malicious software use various technical tactics to deceive or bypass traditional detection methods, rendering conventional non-visual detection techniques inadequate.In recent years, data visualization has gained considerable attention in the academic community as a powerful approach for detecting and classifying malicious software.By visually representing the key features of malicious software, these methods greatly enhance the accuracy of malware detection and classification, opening up extensive research opportunities in the field of cyber security.An overview of traditional non-visual detection techniques and visualization-based methods were provided in the realm of malicious software detection.Traditional non-visual approaches for malicious software detection, including static analysis, dynamic analysis, and hybrid techniques, were introduced.Subsequently, a comprehensive survey and evaluation of prominent contemporary visualization-based methods for detecting malicious software were undertaken.This primarily encompasses encompassed the integration of visualization with machine learning and visualization combined with deep learning, each of which exhibits distinct advantages and characteristics within the domain of malware detection and classification.Consequently, the holistic consideration of several factors, such as dataset size, computational resources, time constraints, model accuracy, and implementation complexity, is necessary for the selection of detection and classification methods.In conclusion, the challenges currently faced by detection technologies are summarized, and a forward-looking perspective on future research directions in the field is provided.…”
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A tailored deep learning approach for early detection of oral cancer using a 19-layer CNN on clinical lip and tongue images by Pinjie Liu, Kambiz Bagi

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2D Object Detection: A Survey by Emanuele Malagoli, Luca Di Persio

“…This survey provides a comprehensive review of the evolution of 2D generic object detection, tracing its development from traditional methods relying on handcrafted features to modern approaches driven by deep learning. …”
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