Entropy difference-based EEG channel selection technique for automated detection of ADHD. by Shishir Maheshwari, Kandala N V P S Rajesh, Vivek Kanhangad, U Rajendra Acharya, T Sunil Kumar

“…To verify the effectiveness of the channels selected, we explored three sets of features and classifiers. More specifically, we explored discrete wavelet transform (DWT), empirical mode decomposition (EMD) and symmetrically-weighted local binary pattern (SLBP)-based features. …”
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Neuroendocrine Differentiation in Breast Cancer: Clinicopathological Significance of Bcl-2 Positive Solid Papillary Carcinoma by Yoichiro Okubo, Takuji Okubo, Yoshimi Okubo, Takao Ishiwatari

“…Maluf and Koerner first reported this disease entity as a special type of ductal carcinoma in situ with several characteristic histopathological features, including low-grade cellular atypia, intracellular or extracellular mucin deposition, and solid papillary growth pattern, as well as neuroendocrine differentiation. …”
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Multi-source Data-driven Analysis of Deformation and Influencing Factors for Expansive Soil Canal Slopes by ZHANG Yuhan, HU Jiang, LI Xing

“…Deformation serves as a direct indicator of slope stability, making the analysis of deformation patterns and trends essential for assessing stability. …”
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Beyond surveys: high-resolution mapping of rural wealth in China using satellite and street view imagery by Weipan Xu, Qiumeng Li, Yaofu Huang, Yu Gu, Xun Li

“…Centered on the intelligent interpretation of rural housing features, we extract wealth-related visual elements from imagery and regress them against benchmark survey-based household wealth indicators to develop a high-accuracy township-level wealth prediction model (R² = 71%). …”
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Integrated Sensor System for Real-Time Monitoring and Detection of Fish Quality and Spoilage by Binson V. A., Sania Thomas

“…The data acquisition system collects and processes information from the sensor array, while the data processing system extracts relevant features for subsequent analysis. A pattern recognition system, employing a robust LDA-XGBoost model, was employed to differentiate between fresh and spoiled fish. …”
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Public administration in the field of law-enforcement activity by V.О. Kuchmenko, O.М. Ivchenko, O.М. Gerasumchuk

“…The article is devoted to the peculiarities of public administration features formation in the conditions of strategic changes. …”
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Young People's Housing Opportunity in Post-reform China by Weijing Deng

“…What, then, were the structural features of housing opportunity for young Chinese people in post-reform China? …”
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The Use of 3D Convolutional Autoencoder in Fault and Fracture Network Characterization by Feng Xu, Zhiyong Li, Bo Wen, Youhui Huang, Yaojun Wang

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Modeling the inside defect of the jet cavitator by A. I. Ukolov, V. P. Rodionov

“…Materials and Methods. The features of the ANSYS Workbench finite-element analysis software package and the integrated optimization module of the development and design process in the domain of the computational fluid dynamics ANSYS CFX are used. …”
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TBM shield mud cake prediction model based on machine learning by Qi Zhang, Peng Xu, Jing Zhang, Zhao Yang, Yu Li, Xintong Kong, Xiao Yuan

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Eccentric Compression Behavior of Coral Aggregate Geopolymer Concrete Columns Reinforced with Stainless-Steel Rebars by Haiwen Xu, Jiasheng Jiang, Chao Yang

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Analysis of clinical phenotypes and genotypes of congenital deafness caused by rare variants in GJB2 by Xuxu Zhao, Huan Chi, Yan Bai, Yu Lu, Wenyu Xiong, Houyong Kang, Cheng Zhang

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Identifying trade-offs and synergies among land use functions using an XGBoost-SHAP model: A case study of Kunming, China by Kun Li, Junsan Zhao, Yongping Li, Yilin Lin

“…Finally, a self-organizing feature mapping network (SOM) was developed to identify LUF clusters. …”
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Smart wearable sensor-based model for monitoring medication adherence using sheep flock optimization algorithm-attention-based bidirectional long short-term memory (SFOA-Bi-LSTM) by Yasser Alatawi, Palanisamy Amirthalingam, Narmatha Chellamani, Manimurugan Shanmuganathan, Mostafa A. Sayed Ali, Saleh Fahad Alqifari, Vasudevan Mani, Muralikrishnan Dhanasekaran, Abdulelah Saeed Alqahtani, Ahmed Aljabri

“…Due to its ability to continuously monitor a patient's MA behavior, the recent focus on sensor technology for MA monitoring is a promising development. The primary objective of this research is to implement sensor devices/smart wearables powered by advanced deep learning (DL) techniques to evaluate complex data patterns effectively and make accurate predictions. …”
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Single-cell transcriptomics reveal the prognostic roles of epithelial and T cells and DNA methylation-based prognostic models in pancreatic cancer by Jing Du, Yaqian Zhao, Jie Dong, Peng Li, Yan Hu, Hailang Fan, Feifan Zhang, Lanlan Sun, Dake Zhang, Yuhua Zhang

“…Treatment predictions and nomograms were developed for clinical use. Conclusions scRNA-seq and DNAm data integration enabled the creation of predictive models based on epithelial and T cell-specific methylation patterns, offering robust prognosis prediction for PDAC patients.…”
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Clinical prediction of intravenous immunoglobulin-resistant Kawasaki disease based on interpretable Transformer model. by Gahao Chen, Ziwei Yang

“…This framework enables probabilistic estimation of treatment resistance likelihood while providing transparent feature contribution analyses essential for developing patient-specific management protocols.…”
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A multi-module enhanced YOLOv8 framework for accurate AO classification of distal radius fractures: SCFAST-YOLO by Yu Wang, Haifu Sun, Tiankai Jiang, JunFeng Shi, JunFeng Shi, Qin Wang, Qin Wang, Hongwei Yang, Hongwei Yang, Yusen Qiao

“…Secondly, we develop the C2f-Faster-EMA module that preserves fine-grained spatial details through optimized information pathways and statistical feature aggregation. …”
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Climate Change Risk, Performance, and Value Added in Agricultural Sector by Ramin Amani, Zanko Ghorbani, Zana Mozaffari

“…Escalating temperature, polar ice melting, global sea level rise, and shifting weather patterns, all stem from climate change. One of the pathways towards achieving sustainable development involves the advancement of the agricultural sector, a vital economic segment. …”
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Land degradation vulnerability modelling for landscape restoration planning in Eastern DR Congo using the analytical hierarchy process (AHP) and geospatial techniques by Jean Nacishali Nteranya, Andrew Kiplagat, Elias K. Ucakuwun, Chantal Kabonyi Nzabandora

“…Land degradation is a major issue for attainment of sustainable development in Eastern DR Congo. This study aims to assess and model the spatial pattern of land degradation vulnerability (LDV) in this region through the application of the Analytical Hierarchy Process (AHP) and geospatial techniques by using the Kalehe territory as a case study. …”
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Toward Cyborg: Exploring Long-Term Clinical Outcomes of a Multi-Degree-of-Freedom Myoelectric Prosthetic Hand by Yuki Kuroda, Yusuke Yamanoi, Hai Jiang, Yoshiko Yabuki, Yuki Inoue, Dianchun Bai, Yinlai Jiang, Jinying Zhu, Hiroshi Yokoi

“…Recent advancements in robotics and sensor technology have facilitated the development of myoelectric prosthetic hands (MPHs) featuring multiple degrees of freedom and heightened functionality, but their practical application has been limited. …”
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