Study on Photovoltaic Plant Site Selection Models Based on Geographic and Environmental Features by RAO Zhi, YANG Zaimin, YANG Xiongping, LI Jiaming, YANG Ping, WEI Zhichu

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Machine Learning-Driven Acoustic Feature Classification and Pronunciation Assessment for Mandarin Learners by Gulnur Arkin, Tangnur Abdukelim, Hankiz Yilahun, Askar Hamdulla

“…Based on acoustic feature analysis, this study systematically examines the differences in vowel pronunciation characteristics among Mandarin learners at various proficiency levels. …”
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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

“…Signs of inflammatory pain may be detected in patients with nonspecific low back pain due to the development of osteoarthritis in facet joints, sacroiliac joints, as well as vertebral osteitis. …”
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Deep Learning with Dual-Channel Feature Fusion for Epileptic EEG Signal Classification by Bingbing Yu, Mingliang Zuo, Li Sui

“…However, the manual classification of these patterns is labor-intensive, time-consuming, and depends heavily on specialized expertise. …”
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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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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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Malicious software identification based on deep learning algorithms and API feature extraction by Wei Sun

“…The efficient malware identification method developed can cope with the constantly evolving malware threats.…”
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Uncovering Historical Reservoir Operation Rules and Patterns: Insights From 452 Large Reservoirs in the Contiguous United States by Donghui Li, Yanan Chen, Lingqi Lyu, Ximing Cai

“…The analysis further shows the module application transition patterns featuring operation dynamics for reservoirs of different operation purposes, sizes, and locations. …”
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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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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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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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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

“…Eight IGS regions were identified as highly variable regions, which provides potential information for developing molecular markers. Nineteen genes were discovered to have undergone significant positive selection. …”
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Ensemble learning techniques reveals multidimensional EEG feature alterations in pediatric schizophrenia by Ying Mao, Ying Mao, Fang Wang, Shan Wang, Zhaowei Wang, Gang Li, Xuchen Qi, Xuchen Qi, Yu Sun, Yu Sun

“…Schizophrenia (SCZ) is a severe mental disorder that impairs brain function and daily life, while its early and objective diagnosis remains a major clinical challenge due to the reliance on subjective assessments. This study aims to develop a machine learning-based framework for the auxiliary diagnosis of SCZ using multi-dimensional electroencephalogram (EEG) features and to investigate the underlying neural alterations. …”
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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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Imaging features and prognostic significance of immune checkpoint inhibitor–related pneumonitis in NSCLC by Xueqi Wang, Jingyi Yang, Jiahui E, Fan Liu, Qiliang Wang, Yuwei Zhang, Jing Wang, Ying Liu

“…Fifty-one patients (50.0%) were identified as having organizing pneumonia (OP) pattern, followed by nonspecific interstitial pneumonia (NSIP) pattern in 28 patients (27.4%), hypersensitivity pneumonitis (HP) pattern in 6 patients (5.9%), and diffuse alveolar damage (DAD) pattern in 2 patients (2.0%). …”
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VCINet: Visual Cue-Inspired Feature Learning Network for SAR Building Segmentation by Mengyu Wang, Zhiyuan Yan, Wenhui Diao, Xudong Hu, Yingchao Feng, Linlin Xin, Junxi Li, Xian Sun

“…First, to improve intraclass variance and emphasize internal consistency, an elaborately designed pattern guidance module is introduced. We systematically study the stable spatial pattern of buildings and leverage the variogram function to model the characteristic to constrain deep network training. …”
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