Elfimova. MicroRNA: a clinician’s view of the state of the problem. Part 1. History of the issue by O. Iu. Mironova, M. V. Berdysheva, E. M. Elfimova

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IMPLEMENTATION OF FEATURE IMPORTANCE XGBOOST ALGORITHM TO DETERMINE THE ACTIVE COMPOUNDS OF SEMBUNG LEAVES (BLUMEA BALSAMIFERA) by Kusnaeni Kusnaeni, Nurul Fuady Adhalia, Abdul Khaliq Zulfattah

“…The XGBoost algorithm can calculate the feature importance score that affects the goal variable so that it does not have to include all variables in the modeling, this can overcome problems in high-dimensional data. …”
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An ongoing problem: Rhesus hemolytic disease of the newborn - A decade of experience in a single centre by Cansu Yilmaz Yegit, Beril Yasa, Elmas Zeynep Ince, Tugba Sarac Sivrikoz, Asuman Coban

“…Background: The objectives were to evaluate the descriptive features of newborns with a diagnosis of Rhesus (Rh) hemolytic disease, to determine the morbidity and mortality rates, to evaluate the treatment methods and the factors affecting treatment requirements and clinical outcomes during a ten-year period at a tertiary center. …”
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Improving kidney segmentation in pathological images: a multiscale approach to resolve fragmentation and incomplete boundaries by Muhammad Wajeeh Us Sima, Chengliang Wang, Muhammad Arshad, Jamshed Ali Shaikh, Reem Ibrahim Alkanhel, Dina S. M. Hassan, Ammar Muthanna

“…However, current methods for segmenting pathological images often fail, resulting in incomplete and fragmented representations of kidney structures due to broken boundaries, poor integration of features, and limited scalability. These problems reduce the accuracy and reliability of existing approaches. …”
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Infective endocarditis: the specific features of its course, the criteria for diagnosis, differential diagnosis (part II) by B S Belov, G M Tarasova, B S Belov, G M Tarasova

“…Basic approaches to differentiating IE from the diseases in which differentially diagnostic problems arise to the utmost are outlined.…”
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FEATURES OF ACCOUNTING ORGANIZATION OF LIABILITIES FOR TAXES AND DUTIES UNDER CIRCUMSTANCES OF ENVIRONMENTAL POLICY IMPLEMENTATION IN UKRAINE by T. Murovana

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Comparative neuropsychological analysis of audio-verbal memory features in first-formers with different learning success by G. F. Khodakovskaya

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Features of physical activity and school anxiety in pupils of the secondary general education school and the cadet corps by S. L. Valina, I. E. Shtina, O. Yu. Ustinova, D. A. Eisfeld

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A New Feature Extraction Algorithm Based on Orthogonal Regularized Kernel CCA and Its Application by Xinchen Guo, Xiuling Fan, Xiantian Xi, Fugeng Zeng

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Multi-user physical layer authentication mechanism based on lightweight CNN and channel feature assistance by Yankun WANG, Dengke GUO, Dongtang MA, Jun XIONG, Xiaoying ZHANG

“…To address the problems of poor robustness and high complexity of current physical layer user authentication algorithms, a lightweight convolutional neural network (CNN) channel feature extraction algorithm was proposed to reduce the channel state response required for training by changing the form of network input, and a multi-user physical layer channel feature-assisted authentication mechanism was established based on this algorithm to design a detailed process from user registration to authentication, and multi-user authentication and network parameter update online were completed.Simulation results show that the proposed algorithm can complete multi-user authentication, obtain good detection performance with smaller training rounds, and require fewer training samples than existing multi-user authentication algorithms.…”
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Features of T lymphocyte subpopulation profile in patients with ankylosing spondylitis undergoing genetically engineered biological therapy by A. A. Savchenko, O. D. Gritsenko, A. G. Borisov, I. V. Kudryavtsev, M. K. Serebriakova, A. A. Masterova, P. A. Shesternya

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Features of a Legal Regime of a Museum and Archaeological Complex on Early History of Samara Creation by Lyudmila Vladimirovna Averina, Irina Sergeevna Miamina

“…The article describes features in the evolution of the planning structure and building of the historical part of Samara city under the influence of the system fortifications of the XVIIIc. by cartographic materials. …”
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Features of Financial and Economic Development in the Period of Coronavirus: Experience of the Baltic States as Members of the European Union by N. V. Eremina, N. M. Mezhevich, V. A. Shamakhov

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Acoustic-based machine learning approaches for depression detection in Chinese university students by Yange Wei, Yange Wei, Shisen Qin, Fengyi Liu, Rongxun Liu, Yunze Zhou, Yuanle Chen, Xingliang Xiong, Wei Zheng, Guangjun Ji, Yong Meng, Fei Wang, Fei Wang, Ruiling Zhang

“…Further, 27 acoustic features (10 spectral features, 3 prosodic features, and 1 glottal features) were significantly correlated with depression severity. …”
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Neural-Driven heuristic for strip packing trained with Black-Box optimization by Mariusz Kaleta, Tomasz Śliwiński

“…Our method learns decision policies by optimizing fill factor improvements over a large dataset of problem instances. Unlike conventional heuristics, our approach dynamically adapts placement decisions based on a broad set of features describing the current partial solution and remaining items. …”
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Research on Digital Design and Tooth Shape Optimization of Non-circular Gears Based on Envelope Features by Yongping Liu, Beibei Yun, Yongqiao Wei, Changbin Dong, Zhongtao Ren

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Features of insulin therapy in combination of long-term type 1 diabetes mellitus and metabolic syndrome by M. D. Samsonova, N. P. Trubitsyna, A. S. Severina, M. S. Shamkhalova

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Land-cover classification with remote sensing images based on low-rank fusion of multimodal features by LIU Wenjie, WU Xiaoning, DONG Fuan, ZHANG Jinwen, LI Yiyang, CHEN Yong

“…This algorithm achieved 91.23% OA and 83.28% mIoU in remote sensing land feature classification tasks, effectively alleviating the problems of insufficient accuracy and insufficient utilization of multimodal information faced by traditional single modal remote sensing classification methods through feature low rank fusion technology, thereby significantly improving the performance of land feature classification.…”
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Proximal spinal muscular atrophy types I-IV: Specific features of molecular genetic diagnosis by V. V. Zabnenkova, E. L. Dadali, A. V. Polyakov

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Behavior Anomaly Detection Based on Multi-modal Feature Fusion and Its Application in English Teaching by Lei Kan, Man Wang

“…In order to improve the teaching quality, this paper proposes a multi-modal feature fusion-based abnormal behavior detection method, aiming at the problems of false detection, missing detection and imbalance of positive and negative samples in the abnormal behavior detection of students in class. …”
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