Nanoscale Therapeutic System: Safety Assessment Features by E. M. Bovina, B. K. Romanov, A. S. Kazakov, N. Yu. Velts, E. O. Zhuravleva, T. M. Bukatina, R. N. Alyautdin, V. A. Merkulov

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Theoretical Regulations and Institutional Features of Financing Arts by N. A. Burakov, O. A. Slavinskaya

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The Specific Features of the Course of Critical Conditions in Miners by V. V. Moroz, Yu. A. Churlyaev, S. L. Kan

“…Objective: to improve treatment results in miners, by studying the specific features of the course of their critical conditions caused by severe traumatic injuries, and to develop differentiated intensive therapeutic regimens for detected abnormalities. …”
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Learning by precedents based on the analysis of the features properties by V. V. Krasnoproshin, V. G. Rodchanka

“…An algorithm that allows paralleling of the learning process and performing it in the automatic mode has been developed in this approach. A possibility to use this method for automatic detection and interpretation of hidden, previously unknown patterns in data mining tasks is presented.…”
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Distinctive features of internally driven magnetotail reconnection by M. I. Sitnov, V. G. Merkin, P. L. Pritchett, M. Swisdak

“…The instability drives the change of magnetic field topology internally, without any external forcing. The distinctive features of this regime are: previously unreported Hall magnetic field patterns; energy conversion near the dipolarization front prior to the X line formation; asymmetry of the energy conversion, plasma heating, and anisotropy relative to the X line, with regions of ion and electron heating out of phase both along and across the tail. …”
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FEATURES OF INTENSIVE TREATMENT IN PATIENTS AFTER TRACHEOSTOMY by E. A. Kirasirova, N. V. Lafutkina, O. K. Piminidi, R. F. Mamedov, E. A. Kuzina

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Energy-Efficient Islanding Detection Using CEEMDAN and Neural Network Integration in Photovoltaic Distribution System by Sulayman Kujabi, Emmanuel Asuming Frimpong, Francis Boafo Effah

“…This paper proposes an enhanced islanding detection method based on complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) and a pattern recognition neural network (PANN). Negative sequence voltage data from both islanding and non-islanding scenarios were acquired through MATLAB Simulink simulations, with samples collected at a frequency of 3.84 kHz over a 2.5-second period. …”
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A sparse tensor generator with efficient feature extraction by Tugba Torun, Ameer Taweel, Didem Unat

“…Another challenge lies in analyzing sparse tensor features, which are essential not only for understanding the nonzero pattern but also for selecting the most suitable storage format, decomposition algorithm, and reordering methods. …”
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Information Transparency:  Approaches to Evaluation, Key Features, Trends by R. P. Bulyga, I. V. Safonova

“…The article identifies the main patterns and positive trends in the development of information transparency of Russian business over the past ten to fifteen years. …”
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Dermoscopic features in children with vitiligo and other hypopigmentation disorders by Shijuan Yu, Shijuan Yu, Jingyi He, Hua Wang

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Prognostic Impact of Phenotypic and Genetic Features of Pancreatic Malignancies by Mikhail B. Potievskiy, Lidia A. Nekrasova, Ivan V. Korobov, Ekaterina A. Bykova, Ruslan I. Moshurov, Pavel V. Sokolov, Peter A. Shatalov, Natalia A. Falaleeva, Leonid O. Petrov, Vladimir S. Trifanov, Sergey A. Ivanov, Peter V. Shegai, Andrei D. Kaprin

“…The pathomorphological and genetic characteristics of pancreatic cancer, reflected in morphological, immunohistochemical, and serological marker expression, reveal key patterns of tumor genotypic changes during carcinogenesis, aiding in prognostic evaluation and clinical strategy development. …”
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Specific features of psychopathological manifestations in criminal clozapine intoxications by D. G. Slyundin, A. S. Livanov, V. V. Anuchin, A. G. Merkin, I. G. Bobrinskaya, E. V. Gutova

“…Clinical and laboratory studies were used to examine the patients. The pattern and situational features of the intoxication were revealed; the leading clinical syndrome and its degree were established. …”
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Metaphorical Thinking of Traditional Chinese Medicine and Its Features by Yong Shi, Feng Yue

“…Results: Three essential features of MTT are proposed: double mapping structures, including simple and categorization styles; double thinking centers, including entity-based and process-based thinking patterns; and double operational functions, including descriptive and inferential functions. …”
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EWING SARCOMA: FEATURES OF LYMPHOGENOUS METASTASIS AND PROGNOSTIC FACTORS by N. V. Vasilyev, S. V. Poletaeva, S. A. Tabakaev, Yu. I. Tyukalov, V. M. Perelmuter

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Transcriptional profile features in patients with early and late preeclampsia by V. E.A. Kotelnikova, D. E. Pantyukhova, F. D. Ablyamitova, S. N. Vikinskaya, Kh. U. Khalilova, L. F. Mustafaeva, D. A. Barieva, D. V. Yarovaya, N. D. Chopik, M. S. Ermakova, L. E. Sorokina

“…Aim: to assess the molecular mechanisms in developing various clinical phenotypes of preeclampsia (PE) by analyzing specific placental tissue transcriptome patterns.   …”
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Among Artificial Intelligence/Machine Learning Methods, Automated Gradient-Boosting Models Accurately Score Intraoral Plaque in Non-Standardized Images by Eric Coy, William Santo, Bonnie Jue, Helen Betts, Francisco Ramos-Gomez, Stuart A. Gansky

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Instance Assignment Coverage Feature for Operation Control of SAT Solver by Zhihui Li, Shuwei Chen, Guanfeng Wu, Yang Xu

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Cattle identification based on multiple feature decision layer fusion by Dongxu Li, Baoshan Li, Qi Li, Yueming Wang, Mei Yang, Mingshuo Han

“…This paper proposes a decision-level identification method based on the multi-feature fusion of cattle faces, muzzle patterns, and ear tags. …”
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Leveraging multi-modal feature learning for predictions of antibody viscosity by Krishna D. B. Anapindi, Kai Liu, Willie Wang, Yao Yu, Yan He, Edward J. Hsieh, Ying Huang, Daniela Tomazela

“…This approach enables the model to learn from various underlying rules, such as physicochemical rules from molecular simulations and protein evolutionary patterns captured by large, pre-trained deep learning models. …”
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Comorbidity of cerebral palsy and epilepsy with autism in children by B. A. Abusueva, M. A. Askevova, M. D. Shanavazova, B. M. Nasrutdinova, M. Yu. Bobylova, A. S. Gadzhieva

“…Epilepsy in children with cerebral palsy is often manifested in a form of developmental and epileptic encephalopathy with spike-and-wave activation in sleep, which is characterized by epileptiform activity according to the type of benign epileptiform patterns of childhood with a high index on the electroencephalogram (up to 100 %), severe epileptic seizures of a status course, and mental disorders by type autism-like behavior (the so-called atypical autism) and disorders of speech communication. …”
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