HSTCN-NuSVC: A Homogeneous Stacked Deep Ensemble Learner for Classifying Human Actions Using Smartphones by Sarmela Raja Sekaran, Ying Han Pang, Ooi Shih Yin, Lim Zheng You

“…Existing HAR models face challenges such as tedious manual feature extraction/selection techniques, limited model generalisation, high computational cost, and inability to retain longer-term dependencies. …”
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Effects of Corrosion Depth on Wind-Induced Collapse Performance of an Angle Steel Transmission Tower by Zhibin Tu, Jianfeng Yao, Zhitong Liu, Xing Zhou, Ligang Zhang

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Distribution patterns of HLA-A^*, B^*, DRB1^* allele groups among persons who underwent COVID-19 by L. N. Bubnova, I. E. Pavlova, A. S. Berkos, M. A. Terentyeva, T. V. Glazanova, L. V. Erokhina, E. V. Belyaeva, A. V. Chechetkin, N. S. Bashketova, I. G. Chkhindzheria, M. А. Kozhemyakina, D. V. Azarov, R. N. Kuznetsova, Areg A. Totolyan

“…Many studies have focused on search of specific alleles associated with both susceptibility and resistance to this disease. Separate HLA patterns were reported already. These patterns may be either universal to several populations, or rather peculiar, since distribution of HLA genes is different for various populations, depending on the living conditions, including specific protection from environmental pathogens. …”
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Development and validation of a machine learning model for predicting vulnerable carotid plaques using routine blood biomarkers and derived indicators: insights into sex-related ri... by Yimin E, Zhichao Yao, Maolin Ge, Guijun Huo, Jian Huang, Yao Tang, Zhanao Liu, Ziyi Tan, Yuqi Zeng, Junjie Cao, Dayong Zhou

“…RCS modeling further revealed distinct sex-related patterns in plaque vulnerability across biomarker value ranges. …”
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On Some Issues of Handprints Detection and the Mechanism of Trace Formation on Porous Surfaces by V. A. Vasil’ev, T. A. Ermakova, Yu. A. Druzhinin, I. B. Afanas’ev, T. Yu. Yudina, E. Yu. Rusanov

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Optimizing Urban Thermal Environments Through 2D/3D Landscape Pattern Analysis: A Machine Learning-Driven Approach for the Yangtze River Delta Urban Agglomeration by Haoshan Zhou, Ruci Wang, Hao Hou, Bin Xie, Tangao Hu

“…By combining 2D landscape pattern metrics with 3D building morphological features, this study employs an XGBoost model enhanced with SHAP and PDP techniques to reveal the nonlinear and threshold effects of landscape configurations on the Universal Thermal Climate Index (UTCI). …”
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EXPERIMENTAL METHODS OF EXPLORING MULTIMODAL DISCOURSE: CROSSMODAL ALIGNMENT by Mariya I. Kiose, Vadim O. Potekhin, Oleg D. Zubkov

“…The common research framework determines the patterns as modulated by discourse tasks. The study features the results of multimodal experiments with the participants engaged in three discourse tasks: 1) receptive, which presumes obtaining information from text and image stimuli; semiotic alignment patterns are identified indirectly via participants’ gaze response; 2) productive, in which the participants communicate the information in monological format; communicative alignment patterns are identified directly via their speech and gesture; 3) receptive-productive, which presupposes the participants perceive information visually and audially; alignment patterns are identified directly via participants’ gaze behavior contingent on the stimuli areas of interest and indirectly via their speech response. …”
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What Is the Perceived Environmental Restorative Potential of Informal Green Spaces? An Empirical Study Based on Visitor-Employed Photography by Jiayi Jiang, Hong Xu, Ruochen Ma, Shi Chen, Huixin Wang, Ziang Zheng

“…Visitors who engage in rapid, broad exploration perceive larger, navigable spaces as more restorative, while those focusing on specific or in-depth exploration emphasize psychological aspects like escape and fascination. These behavioral patterns demonstrate varying strengths in their association with restorative experiences; This study underscores the importance of integrating spatio-temporal behavior data with PR assessments, highlighting how the physical and psychological features of IGS influence visitor experiences. …”
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Quantifying the effect of non-spatial and spatial forest stand structure on rainfall partitioning in mountain forests, Southern China by Chunxia Liu, Yujie Wang, Chao Ma, Yunqi Wang, Huilan Zhang, Bo Hu

“…The results highlight that stand structure in combination with rainfall patterns influence rainfall partitioning.…”
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Cloning and Identification of Common Carp (<i>Cyprinus carpio</i>) <i>PI3KC3</i> and Its Expression in Response to CyHV-3 Infection by Xiaona Jiang, Lijing Tian, Wanying Ren, Chitao Li, Xuesong Hu, Yanlong Ge, Lei Cheng, Xiaodan Shi, Zhiying Jia

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Machine learning on multiple epigenetic features reveals H3K27Ac as a driver of gene expression prediction across patients with glioblastoma. by Yusuke Suita, Hardy Bright, Yuan Pu, Merih Deniz Toruner, Jordan Idehen, Nikos Tapinos, Ritambhara Singh

“…In summary, while GSCs are known for their transcriptomic and phenotypic heterogeneity, we propose that they share a common epigenetic pattern of enhancer activation that defines their underlying transcriptomic expression pattern. …”
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Analysis of Plastic Zone and Pressure Variance Features of Surrounding Rock of High-Altitude Macker Tunnel: A Case Study in Jiangluling Macker Tunnel in Qinghai by Xiaojun Ma, Hongyan Guo, Juyi Hu, Shuang Cai, Liang Cheng, Danfeng Zhang

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Computed tomography and magnetic resonance imaging features of primary liver perivascular epithelioid cell tumor with renal angiomyolipoma: a case report and literature review by Ruoling Gao, Jiaying Liu, Qingdian Cong, Zhilan Huang, Guoping Zhu, Xuan Jin, Jibo Hu

“…A literature review was carried out on the clinical features and imaging findings of the hepatic perivascular epithelioma, and cases with liver PEComa and kidney AML were described.…”
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Cytological Features of a Variant NUT Midline Carcinoma of the Lung Harboring the NSD3-NUT Fusion Gene: A Case Report and Literature Review by Shiho Kuroda, Shioto Suzuki, Akira Kurita, Mari Muraki, Yoichiro Aoshima, Fumihiko Tanioka, Haruhiko Sugimura

“…Conclusion. The cytological features of a variant NMC of the lung are described for the first time.…”
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MRI Parameters and Clinicopathologic Features in Predicting Hepatocellular Carcinomas With Aggressive-Related Marker Expression, Defined by Epithelial Cell Adhesion Molecule and Gl... by Li Y, Huo L, Liu L, Jia N, Song B

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Epidemiologic features of Guillain-Barré syndrome in São Paulo, Brazil Aspectos epidemiológicos da síndrome de Guillain-Barré em São Paulo, Brasil by Maria Sheila Guimarães Rocha, Sônia Maria Dozzi Brucki, Alzira Alves de Siqueira Carvalho, Úrsula Waleska Poti Lima

“…We evaluate some epidemiological features of GBS in a sample of cases treated at a tertiary hospital in São Paulo, Brazil. …”
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netQDA: Local Network-Guided High-Dimensional Quadratic Discriminant Analysis by Xueping Zhou, Wei Chen, Yanming Li

“…Extensive simulations and real data applications demonstrate its superior performance in both feature selection and outcome classification compared to commonly used discriminant analysis methods.…”
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Use Artificial Neural Network Neococcontron in Distinguishing Handwritten Arabic Numerals by Laheeb Ibrahim, Hanan Ali

“…Artificial Neural Networks have wide applications now a day, Among these are in the field of pattern recognition and image processing. This is due to the fact that it has a good performance and advanced mathematical computation power particularly its flexible adaptation to parallelism technique. …”
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Time-Distributed Vision Transformer Stacked With Transformer for Heart Failure Detection Based on Echocardiography Video by Mgs M. Luthfi Ramadhan, Adyatma W. A. Nugraha Yudha, Muhammad Febrian Rachmadi, Kevin Moses Hanky Jr Tandayu, Lies Dina Liastuti, Wisnu Jatmiko

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Women’s Employment Fluctuations in Iran and its Deviations from the World Trends by hossein ghodrati

“…Results show that in spite of some changes in women’s participation in labor force, the employment rate is still very low. Another feature of women’s participation in labor force is transformations in age patterns of employment so that in three last decades women’s participation in labor force has decreased in all age groups. …”
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