Classification of finger movements through optimal EEG channel and feature selection by Murside Degirmenci, Yilmaz Kemal Yuce, Matjaž Perc, Matjaž Perc, Matjaž Perc, Matjaž Perc, Matjaž Perc, Yalcin Isler

“…Therefore, the objectives of this study are threefold: (i) to develop a more viable and practical system to predict the movements of five fingers and the no mental task (NoMT) state from EEG signals (ii) to analyze the effects of the statistical-significance based feature selection method over four different feature domains (nonlinear domain, time-domain, frequency-domain and time-frequency domain) and their combinations, and (iii) to test these feature sets with different and prominent classifiers.MethodsIn this study, our major goal is not to explore the best machine algorithm performance, but to investigate the best EEG channels and features that can be used in the classification of finger movements. …”
Get full text

Investigating pathological features of myocarditis-related sudden cardiac deaths in Egypt by Nora Fnon, Asmaa Sharif, Hanan Hassan, Amal Hafez, Zahraa Sobh

“…A focal infiltration pattern was observed in 78.6% of cases. Approximately, 80% of deaths in the first decade were attributed to lymphocytic myocarditis, whereas 95% of deaths in the third and 75% of fourth decade had neutrophilic myocarditis. …”
Get full text

Clinical features and outcomes of Rhegmatogenous Retinal Detachments in Acute Retinal Necrosis by Shabtab Nasir, Samreen Mehfooz, Soumyava Basu, Rajeev R. Pappuru, Mudit Tyagi

Get full text

Plantar pressure classification and feature extraction based on multiple fusion algorithms by Xiaotian Bai, Xiao Hou, Yiling Song, Zhengyan Tang, Hongfeng Huo, Jingmin Liu

“…Classification discriminant functions were developed using linear discriminant analysis. Analysis of variance compared the differences in features between various plantar pressure distribution patterns. …”
Get full text

Features of the Effect of Cataracts and Glaucoma on the Daily Activities of Patients with Sarcopenic Obesity by O. L. Fabrikantov, A. E. Kopylov, N. M. Agarkov

“…In particular, restrictions on threading a needle in patients with cataracts and sarcopenic obesity have 1.84 ± 0.03 points, which is significantly higher than in patients with glaucoma and sarcopenic obesity (p < 0.01). A similar pattern has been established for nail clipping, the limits for which are 1.75 ± 0.03 points and 1.43 ± 0.04 points, respectively. …”
Get full text

Human brain state dynamics are highly reproducible and associated with neural and behavioral features. by Kangjoo Lee, Jie Lisa Ji, Clara Fonteneau, Lucie Berkovitch, Masih Rahmati, Lining Pan, Grega Repovš, John H Krystal, John D Murray, Alan Anticevic

“…In healthy young adults, we identify reproducible spatiotemporal features of co-activation patterns at the single-subject level. …”
Get full text

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%). …”
Get full text

Developmental features of multi-word expressions in spoken discourse by Chinese learners of English by Huiping Zhang, Xingzuo Wang

“…To address this gap, this study aims to investigate the current status and developmental features of MWE use in spoken English by Chinese learners of English across three proficiency levels based on Nattinger and DeCarricos’ classification framework of MWEs. …”
Get full text

Exploring the potentialities and challenges of deep learning for simulation and prediction of urban sprawl features by Ange Gabriel Belinga, Stéphane Cedric Tékouabou Koumetio, Mohamed El Haziti

Get full text

SPECIFIC FEATURES OF ELECTROENCEPHALOGRAPHIC PAROXYSMAL ACTIVITY REGISTRATION IN OLD AGE GROUP PATIENTS by S. A. Gulyaev, I. V. Arkhipenko, S. E. Gulyaeva, A. A. Ovchinnikova, A. V. Ovchinnikov

Get full text

Patch-Based Texture Feature Extraction Towards Improved Clinical Task Performance by Tao Lian, Chunyan Deng, Qianjin Feng

“…Texture features can capture microstructural patterns and tissue heterogeneity, playing a pivotal role in medical image analysis. …”
Get full text

Eye Tracking in Neuropsychological Research of Visual Gnosis Features in Children with Hearing Impairment by Y.K. Smirnova, Ju.E. Grigorova, L.N. Gordeeva

“…The duration of the scanning path, spatial density of fixations, scanning regularity, and scanning direction during image recognition differ. Features of the visual search strategy are observed in the number of switches, fixation time, and patterns of gaze transitions between areas of interest. …”
Get full text

SOME FEATURES OF CHANGING TELOMERE LENGTH IN LYMPHOCYTES FROM THE PATIENTS WITH BRONCHIAL ASTHMA by V. I. Borisov, S. A. Demakov, V. M. Nepomnyashchikh, M. I. Leonova, D. V. Demina, N. A. Barovskaya, V. S. Kozhevnikov

Get full text

HLA system features in patients on waiting list for kidney transplantation in the Republic of Bashkortostan by A. A. Korzhenevsky, N. P. Korzhenevskaya

“…The aim of our study was to specify the features of the HLA system in patients registered on the waiting list for kidney transplantation in the Republic of Bashkortostan. …”
Get full text

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. …”
Get full text

Textual, Genre and Social Features of Spoken Grammar: A Corpus-Based Approach by Carmen Pérez-Llantada

Get full text

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. …”
Get full text

PFVnet, a feature enhancement network for low recognition coal and rock images by Cai Han, Zhenwen Liu, Shenglei Zhao, Yubo Li, Yanwei Duan, Xinzhou Yang, Chuanbo Hao

“…We characterized the grayscale and texture feature patterns of coal-rock media under varying degrees of interference and established a comprehensive multi-element image training sample library. …”
Get full text

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

Get full text

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. …”
Get full text