A hybrid critical channels and optimal feature subset selection framework for EEG fatigue recognition by Hanying Guo, Siying Chen, Yongjiang Zhou, Ting Xu, Yuhao Zhang, Hongliang Ding

“…The topological features extracted from these components form the suboptimal feature set. …”
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Feature Clustering Analysis Using Reference Model towards Rolling Bearing Performance Degradation Assessment by Xiaoxi Ding, Liming Wang, Wenbin Huang, Qingbo He, Yimin Shao

“…Finally, a clustering quantification factor, named as feature clustering indicator (FCI), is calculated to assess distribution evolution and migration of the monitor status as compared to the consistent healthy status. …”
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An IoT intrusion detection framework based on feature selection and large language models fine-tuning by Huan Ma, Wan Zhang, Dalong Zhang, Baozhan Chen

“…At its core is a multi-stage feature selection algorithm combining Minimum Redundancy Maximum Relevance algorithm (mRMR) and a Pearson Correlation Coefficient (PCC)-improved Covariance Matrix Adaptation Evolution Strategy algorithm (CMA-ES). …”
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Temporal Graph Attention Network for Spatio-Temporal Feature Extraction in Research Topic Trend Prediction by Zhan Guo, Mingxin Lu, Jin Han

“…Comprehensively extracting spatio-temporal features is essential to research topic trend prediction. …”
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Genomic Features and Antimicrobial Activity of <i>Phaeobacter inhibens</i> Strains from Marine Biofilms by Han Cui, Jie Lu, Wei Ding, Weipeng Zhang

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The Impact of Ho Addition on the Microstructural Features and Magnetic Performances of Sintered NdFeB Magnets by Xin-De Zhu, Wei-Ming Liu, Fei Wang, Zhao-Pu Xu, Qian Wang, Xiao-Qian Gu, Meng Li, Ya Jiang, Feng-Sheng Xue, Mei Wang

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Genome-wide characterization of the GmLUX binding preferences and its epigenic features in the soybean genome by Lv Tianxiao, Hong Xiao, Jingxing Wang, Ling Zhang, Tian Fan, Mingkun Huang, Chang-En Tian, Hua Yang, Yufang Hu

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Spatiotemporal pattern evolution and quantitative prediction of electrical carbon emissions from a demand-side perspective in urban areas by Ying Tian, Hui Cao, Dapeng Yan, Jinmei Chen, Yayan Hua

“…Breaking through the limitations of traditional single-scale analysis, the study innovatively integrates monthly, daily and hourly time series with standard deviation ellipses and Kriging spatial interpolation technology, achieving a combination of spatial and dynamic spatiotemporal evolution analysis. The study found that the center of gravity of carbon emissions showed a significant southwest-northeastward migration trajectory, and there was a spatial differentiation feature of central urban agglomeration and peripheral area dispersion. …”
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Whole-genome sequencing of rough Brucella melitensis in China provides insights into its genetic features by Xiaowen Yang, Dongri Piao, Lingling Mao, Bo Pang, Hongyan Zhao, Guozhong Tian, Hai Jiang, Biao Kan

“…This study provided important information for understanding the genetics and evolution of rough B. melitensis in China.…”
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A formalized evolution of the efficiency of regional higher education systems through the prism of the relationship of inputs and outputs of flow values by M. R. Safiullin, A. A. Abdukaeva, D. V. Yurkov

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Linguistic Features of AI-Generated Scientific Manuscripts in Medical Fields: Writing Instruction for Biomedical Authors by Nematullah Shomoossi, Fatemeh Baradaran Yazdi, Farzaneh Shomoossi, Abdurrashid Khazaei Feizabad

“…As an educator and researcher specializing in English as a Foreign Language (EFL) for biomedical authors, we have observed an increasing reliance on AI tools for various stages of manuscript preparation, including drafting, editing, and refinement. This evolution presents both promising opportunities and tough challenges that require careful consideration, especially regarding the distinctive features of AI-generated manuscripts and their implications for EFL authors. …”
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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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In-situ heating TEM observation of solidification cell evolutions in an Al-Fe alloy built by laser-powder bed fusion by Ji-Yun Wang, Verner Soh, Pei Wang, Tzu-Ching Tsao, Ming-Wen Chu, Ming-Hao Lee, Zhongji Sun, Shao-Pu Tsai

“…., solidification cells) are a unique feature within alloys fabricated through rapid solidification, such as laser-powder bed fusion (L-PBF). …”
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ROLE OF СD14 AND CYTOKINE GENE POLYMORPHISM IN CLINICAL FEATURES AND OUTCOMES OF NOSOCOMIAL PNEUMONIA by E. A. Baygosina, V. I. Sovalkin

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METHODOLOGICAL FEATURES OF HISTORICAL TYPES OF ECONOMIC THEORY'S SCIENTIFIC RATIONALITY IN TERMS OF MODERN PHILOSOPHY OF SCIENCE by T. Gaidai

“…The article studies the evolution of basic methodological features of economic theory on its different historical stages.The research highlights the fruitful usage of a new analytical approach on the basis of the achievements of modern philosophy of science. …”
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Electrocardiographic features suggesting mild myocarditis in the white athletes population during the covid-19 pandemic by Piotr Kosiorek, Renata Brycka-Safrończyk, Juliusz Kosel, Dorota Waloch

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Genome mining approach reveals the CRISPR-Cas systems features and characteristics in Lactobacillus delbrueckii strains by Bahman Panahi, Mohaddeseh Rostampour, Mohammad Reza Ghaffari, Yousef Nami

“…The analysis involved retrieving 105 genome sequences to explore the variety, occurrence, and evolution of CRISPR-Cas systems within the species. …”
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Immunohistochemical and molecular evolutionary features of jejunoileal adenocarcinoma unveiled through comparative analysis with colorectal adenocarcinoma by Rei Ishikawa, Hidetaka Yamada, Hirotomo Saitsu, Ryosuke Miyazaki, Juri Takahashi, Rino Takinami, Satoshi Baba, Mitsuko Nakashima, Moriya Iwaizumi, Satoshi Osawa, Hideya Kawasaki, Yoshifumi Arai, Yoshiro Otsuki, Hiroshi Ogawa, Hiroki Mori, Fumihiko Tanioka, Shioto Suzuki, Kazuyo Yasuda, Makoto Suzuki, Haruhiko Sugimura, Kazuya Shinmura

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A 14-year retrospective study on clinical and histopathological features of epithelial salivary gland neoplasms by Flávia Luiza Santos Rodrigues, Débora Frota Colares, Renata Roque Ribeiro, Pedro Paulo de Andrade Santos, Lélia Batista de Souza

“…Objectives: To investigate and describe the clinicopathological profile of pleomorphic adenoma, salivary adenoid cystic carcinoma, and mucoepidermoid carcinoma cases at a Northeast Brazilian Oral Pathology referral center. Methods: Clinical features, histopathological diagnoses, subtypes, and specific histopathological features were collected from all cases previously diagnosed as pleomorphic adenoma, adenoid cystic carcinoma, or mucoepidermoid carcinoma between 2008 and 2021. …”
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Research on deep learning model for stock prediction by integrating frequency domain and time series features by Wenjie Sun, Jianhua Mei, Shengrui Liu, Chunhong Yuan, Jiaxuan Zhao

“…This study employs an adaptive fusion approach to allow the two types of features to complement and enhance each other. The main innovations of this model are reflected in three aspects: (1) Construction of a time-channel hybrid model (MultTime2dMixer) to decouple the temporal evolution and inter-channel interactions of multivariate time series. (2) A novel non-graph-based stock relation modeling approach (NoGraphMixer) is proposed, which employs a learnable attention-based mapping mechanism to dynamically capture cross-stock dependencies without relying on pre-defined or static graph structures–thereby overcoming the inflexibility of conventional graph-based relation encoders. (3) Integration of a frequency-domain complex attention model (ATFNet) to model discontinuities in both the time and frequency domains, providing a strong supplement to time-domain modeling. …”
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