Surface Electromyography and Gait Features in Patients after Anterior Cruciate Ligament Reconstruction by Xipeng Wu, Hao Zhang, Hongxing Cui, Wenbin Pei, Yixuan Zhao, Shanshan Wang, Zhijie Cao, Wei Li

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Back pain: from pathophysiological mechanisms and clinical features to modern approaches to therapy by N. V. Titova, Yu. N. Bezdolny, A. A. Slipko

“…When inflammatory pain patterns are present in the sacroiliac joints region, it is mandatory to rule out sacroiliitis within the spectrum of seronegative spondyloarthritis (including ankylosing spondylitis and others) using a specialized diagnostic algorithm. …”
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Deep Learning with Dual-Channel Feature Fusion for Epileptic EEG Signal Classification by Bingbing Yu, Mingliang Zuo, Li Sui

“…Background: Electroencephalography (EEG) signals play a crucial role in diagnosing epilepsy by reflecting distinct patterns associated with normal brain activity, ictal (seizure) states, and interictal (between-seizure) periods. …”
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Reconstructing coastal ponds functional classification: Integration of multi-feature remote sensing by Yijun Tong, Chen Lin, Ke Song, Tingchen Jiang, Ronghua Ma, Wenzhuo Cui, Danhua Ma, Jianchun Chen, Zhenxing Wang, Xiaofen Bai

“…Above all, the PWS classification system and data products developed in this study reveal the diverse relationships among “functional types-remote sensing features-geographical patterns” regarding PWS, implicating a crucial foundation for clarifying the ecological functional value of PWS and appropriate planning in the coastal zone.…”
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The Human Pathology Atlas for deciphering the prognostic features of human cancersResearch in context by Meng Yuan, Cheng Zhang, Kalle Von Feilitzen, Martin Zwahlen, Mengnan Shi, Xiangyu Li, Hong Yang, Xiya Song, Hasan Turkez, Mathias Uhlén, Adil Mardinoglu

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Improvement and Optimization of Feature Selection Algorithm in Swarm Intelligence Algorithm Based on Complexity by Bingsheng Chen, Huijie Chen, Mengshan Li

“…Feature selection, as an effective data processing method, has become a hot research topic in the fields of machine learning, pattern recognition, and data mining and has received extensive attention and attention. …”
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Malicious software identification based on deep learning algorithms and API feature extraction by Wei Sun

“…This study contributes to the in-depth exploration of semantic information and behavioral patterns of application programming interface call sequences. …”
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Features of mismatch negativity in an at-risk mental state with the traits associated with the autistic spectrum by Naohito Kaneko, Naohito Kaneko, Yuko Higuchi, Yuko Higuchi, Noa Tsujii, Shimako Nishiyama, Shimako Nishiyama, Yukiko Akasaki, Kazuya Nagasawa, Kazuya Nagasawa, Daiki Sasabayashi, Daiki Sasabayashi, Michio Suzuki, Michio Suzuki, Tsutomu Takahashi, Tsutomu Takahashi

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Facial features based on the design of protective masks for children aged seven to ten by ZHOU Jie, WAN Qing, WU Xiayu, WANG Sijia

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Clinical features and seasonality of parechovirus infection in an Asian subtropical city, Hong Kong. by Grace P K Chiang, Zigui Chen, Martin C W Chan, Simon H M Lee, Angela K Kwok, Apple C M Yeung, E Anthony S Nelson, Kam Lun Hon, Ting Fan Leung, Paul K S Chan

“…Six children with HPeV coinfections developed convulsion / pallid attack. Most rash illnesses exhibited a generalized maculopapular pattern involving the trunk and limbs, and were more likely associated with HPeV4 compared to other syndrome groups (36.4% vs. 3.1%, p = 0.011).…”
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Distributed Photovoltaic Communication Anomaly Detection Based on Spatiotemporal Feature Collaborative Modeling by Li Di, Zhuo Lv, Hao Chang, Junfei Cai

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XGBoost Algorithm for Cervical Cancer Risk Prediction: Multi-dimensional Feature Analysis by Sudi Suryadi, Masrizal

“…This performance profile indicates adept navigation of the delicate balance between missed diagnoses and unnecessary interventions. Feature importance analysis revealed a multifaceted risk landscape, where screening test results contributed substantial predictive power (approximately 60%), complemented by demographic and behavioral factors, including age, reproductive history, and contraceptive usage patterns. …”
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Immunopathogenetic features of the functioning of congenital immunity in children with dental and disabling somatic pathology by M. A. Havrylenko, Т. Ye. Shumna

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Unsupervised feature selection based on generalized regression model with linear discriminant constraints by Xiangguang Dai, Mingyu Guan, Facheng Dai, Wei Zhang, Tingji Zhang, Hangjun Che, Xiangqin Dai

“…Benefited from this, the relationships and patterns within the high-dimensional data are retained in the reduced-dimensional feature space. …”
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N6-methyladenine identification using deep learning and discriminative feature integration by Salman Khan, Islam Uddin, Sumaiya Noor, Salman A. AlQahtani, Nijad Ahmad

“…In this study, we present Deep-N6mA, a novel Deep Neural Network (DNN) model incorporating optimal hybrid features for precise 6 mA site identification. The proposed framework captures complex patterns from DNA sequences through a comprehensive feature extraction process, leveraging k-mer, Dinucleotide-based Cross Covariance (DCC), Trinucleotide-based Auto Covariance (TAC), Pseudo Single Nucleotide Composition (PseSNC), Pseudo Dinucleotide Composition (PseDNC), and Pseudo Trinucleotide Composition (PseTNC). …”
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Clinical Features of Liver Injury Induced by Immune Checkpoint Inhibitors in Japanese Patients by Koji Imoto, Motoyuki Kohjima, Tomonobu Hioki, Tomoyuki Kurashige, Miho Kurokawa, Shigeki Tashiro, Hideo Suzuki, Akifumi Kuwano, Masatake Tanaka, Seiji Okada, Masaki Kato, Yoshihiro Ogawa

“…Four patients in the case series showed diverse clinical features in terms of hepatotoxic pattern, symptoms, and the interval time between the initiation of immunotherapy and the onset of the hepatic irAE. …”
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Plastid genomic features and phylogenetic placement in Rosa (Rosaceae) through comparative analysis by Hui Jiang, Shuilian He, Jun He, Yunjuan Zuo, Wenling Guan, Yan Zhao, Xuejiao Li, Jing Meng

“…Through more comprehensive taxon sampling, this study analyzed 18 representative Rosa plastid genomes, including 13 new sequences, to elucidate their phylogeny within the genus as well as the variation patterns in the plastid genomes. Results The results revealed that the length of 106 complete Rosa plastomes varied between 156,333 bp and 157,396 bp, with closed circular tetrad structures of the SSC and LSC regions separated by two IR regions. …”
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The impact of social features on the financial sustainability of pension systems in Central and Eastern Europe and Baltic States by Florin Cornel Dumiter, Klaus Bruno Schebesch, Ștefania Amalia Nicoară, Cristian Bențe

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Correlation Between Macroscopic Features of Ischemic Skin Injury and Subdermal Plexus Damage in Lipoabdominoplasty by Giuliano B. Borille, MD, Gustavo A. Pereira Filho, MSc, Mariana Zancanaro, MD, Vinicius Ribeiro, MD, Renato Giannini, MD

“…This multicentric, retrospective study included 71 patients who underwent lipoabdominoplasty and developed ischemic lesions postoperatively. The study involved 46 surgeons and 2 hyperbaric oxygen therapy centers, both of which participated by completing a questionnaire that collected information about the associated treatments and lesion features. …”
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PERSONAL FEATURES OF CHILDREN AND ADOLESCENTS ILL WITH RESPIRATORY TUBERCULOSIS EXPOSED AND NOT EXPOSED TO THE SOURCE OF INFECTION by N. V. Zolotova, A. A. Akhtyamova, V. V. Streltsov, G. V. Baranova, E. S. Ovsyankina, N. V. Yukhimenko

“…Children exposed to tuberculosis in their families were characterized by judging didactive position towards their neighbors which was formed by dysfunctional patterns of relations in their parental families. Adolescent with unidentified exposure manifested the contrast combination of pre-morbid personal attitudes which had certain etiologic contribution to the development of borderline neurotic states. …”
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