A novel Swin transformer based framework for speech recognition for dysarthria by Rabbia Mahum, Ismaila Ganiyu, Lotfi Hidri, Ahmed M. El-Sherbeeny, Haseeb Hassan

“…Firstly, the speech is converted into mel-spectrograms to reflect the maximum patterns of voice signals. Despite the ST’s initial aim to effectively extract the local and global visual features, it still prioritizes global features. …”
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Understanding the interplay between video game design features and dysregulated gaming patterns: A call to anchor future research directions in interactionist frameworks by Maèva Flayelle, Mélina Andronicos, Daniel L. King, Joël Billieux

“…., personality traits, motivational factors, neurobiological processes), research addressing the contribution of certain design features of games to dysregulated patterns of gaming is still limited. …”
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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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Associations Between Physical Features and Behavioral Patterns in Macau Outdoor Community Public Spaces and Older Adults’ Performance of Instrumental Activities of Daily Living by Hong-Zhan Lai, Stephen Siu-Yu Lau, Chen-Yi Sun

“…<b>Objective:</b> This exploratory study examines potential associations between the physical features and behavioral patterns of outdoor community public spaces and the Instrumental Activities of Daily Living (IADLs) performance of older adults in Macau. …”
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The Association Between Beverages Consumption Patterns, Metabolic Risk Factors, and Anthropometric Features Among Overweight and Obese Adults: A Cross-Sectional Study by Fatemeh Abdi, Mahdieh Abbasalizad Farhangi

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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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A CNN-LSTM model for road surface recognition of electric balance vehicles by Feifei Yu, Yongxian Huang, Canyi Du, Feng Li, Yongkang Gong, Guoyan Chen

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You Only Look Once v8 Cattle Identification Based on Muzzle Print Pattern Using ORB and Fast Library for Approximate Nearest Neighbor Algorithms by Allan Josef Balderas, Kaila Mae A. Pangilinan, Meo Vincent C. Caya

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Diet Patterns Featuring Western-Style and Low-Preparation Foods Differentially Relate to Cognitive Function in Early Childhood From the STRONG Kids 2 Birth Cohort Study by Arden L McMath, Shelby A Keye, Jennifer M Barton, Corinne N Cannavale, Samantha J Iwinski, Kelly F Bost, Sharon M Donovan, Naiman A Khan

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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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Dermoscopic features in children with vitiligo and other hypopigmentation disorders by Shijuan Yu, Shijuan Yu, Jingyi He, Hua Wang

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Advancing patient care with AI: a unified framework for medical image segmentation using transfer learning and hybrid feature extraction by Nazife Çevik, Taner Çevik, Onur Osman, Shtwai Alsubai, Jawad Rasheed, Jawad Rasheed, Jawad Rasheed

“…Moreover, the study applied classical texture-based feature extraction methods, namely Local Binary Patterns (LBP) and Gray-Level Co-occurrence Matrix (GLCM), processing each Red Green Blue (RGB) channel separately using an offset [0 1] and recombining them to create comprehensive texture descriptors. …”
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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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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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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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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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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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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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Machine learning for early detection of plant viruses: Analyzing post-infection electrical signal patterns by Elham Ghasemi, Esmaeil Ebrahimie, Ali Niazi

“…Through precise feature selection techniques, and using only three key features—Median, Autoregressive coefficients, and Autocorrelation—machine learning models, including Support Vector Machine, K-Nearest Neighbors, and Random Forest, achieved approximately 97% accuracy in detecting virus-infected plants even before the appearance of visual symptoms. …”
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