Sideroxylon inerme L. (Sapotaceae): A narrative of its uses as ethnoveterinary medicine and other medicinal applications by Alfred Maroyi

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A hybrid approach to investigating major management factors for effective highway preventive maintenance by Na Zhao, Yijuan Liu, Huihua Chen

“…A system dynamics (SD) model was developed to explore their patterns of influence. The research identified six dimensions of HPM management, including the management system, management resources, management cognition, management decisions, management technology, and external conditions, along with 26 major management factors. …”
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Circadian rhythm genes and immune cell infiltration in myasthenia gravis: A comprehensive analysis. by Ke Wang, Peng Xu, Jing Lu, Xinchen Ji, Ying Zhang, Yibin Zhang, Dongxu Li, Dongmei Zhang, Tianye Lan, Jian Wang

“…The fluctuating weakness in myasthenia gravis (MG) is clinically described as the "morning improvement and evening worsening" pattern; MG is commonly associated with sleep disorders. …”
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Research on the Spiral Rolling Gait of High-Voltage Power Line Serpentine Robots Based on Improved Hopf-CPGs Model by Zhiyong Yang, Zhen Fang, Shengze Yang, Yuhong Xiong, Daode Zhang

“…This study aims to address these issues by proposing a gait generation method that leverages a standardized Central Pattern Generator (CPG). We modify the traditional Hopf-CPG model by incorporating constraint functions and a frequency-tuning mechanism to regulate the oscillator, which allows for the generation of asymmetric waveform signals for deflection joints and facilitates rapid convergence. …”
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Coastal Storm – Surge Combination Risk Identification and Resilience Planning Based on Supply and Demand Assessment of Flood Regulation Ecosystem Services: A Case Study of Fujian D... by Jian TIAN, Tianyu XIU, Suiping ZENG

“…On the supply side, the InVEST model — a spatially explicit ecosystem service assessment tool — is employed to quantify FRES provisioning capacity by simulating hydrological processes and revealing spatial distribution patterns. On the demand side, a risk evaluation system is established based on the Hazard-Vulnerability (H-V) framework. …”
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Distribution and biodiversity of benthic macroalgae in the Nanji Islands, China by Xin Wang, Shangwei Xie, Wandong Chen, Xiaopin Ni, Wantao Xu, Qijun Luo, Haimin Chen

“…The study also provides valuable insights into the distribution patterns of benthic macroalgae, highlighting the significance of seasonal and tidal zone influences on biodiversity and biomass.…”
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Mechanism of action of Xipayimaizibizi oral liquid on outlet obstruction-induced overactive bladder: An integrated study by Menglu Wang, Yang Yang, Yuhang Du, Jiamei Xie, Yige Zhao, Yongcheng An, Ziyi Shan, Shenyujun Wang, Meng Hao, Baosheng Zhao

“…The study observed the body weight, water intake, bladder and kidney indices (to evaluate their general status), urination behavior pattern (to observe frequency and urgency), and urodynamics (to measure bladder parameters). …”
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EEG-based schizophrenia diagnosis using deep learning with multi-scale and adaptive feature selection by Alanoud Al Mazroa, Majdy M. Eltahir, Shouki A. Ebad, Faiz Abdullah Alotaibi, Venkatachalam K, Jaehyuk Cho

“…This is because schizophrenia involves intricate and subtle brain wave patterns that make it difficult to detect the disorder from EEG signals. …”
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Molecular characterization of gliotoxin synthesis in a biofilm model of Aspergillus fumigatus by Alicia Gomez-Lopez, Candela Fernandez-Fernandez

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Socioeconomic status and lifestyle as factors of multimorbidity among older adults in China: results from the China Health and Retirement Longitudinal Survey by Wei Gong, Wei Gong, Wei Gong, Xiaoxiao Hu, Huimin Cui, Huimin Cui, Yuxin Zhao, Yuxin Zhao, Hong Lin, Hong Lin, Hong Lin, Peng Sun, Peng Sun, Jianjun Yang, Jianjun Yang

“…Model performance was evaluated using AUC, accuracy, precision, recall, F1-score, RMSE, and decision curve analysis (DCA). …”
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Acoustic cues for person identification using cough sounds by Van-Thuan Tran, Ting-Hao You, Wei-Ho Tsai

“…The proposed architecture, CoughCueNet, is a convolutional recurrent neural network designed to capture both spatial and temporal patterns in cough sounds. …”
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Optimizing Group Activity Recognition With Actor Relation Graphs and GCN-LSTM Architectures by M. R. Tejonidhi, C. V. Aravinda, S. V. Aruna Kumar, C. K. Madhu, A. M. Vinod

“…Our architecture employs a Convolutional Neural Network (CNN) with Inception-V3 as the foundational model for initial feature extraction. …”
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A Spatial Analysis of Atmospheric Ammonia and Ammonium in the U.K. by M.A. Sutton, Y.S. Tang, U. Dragosits, N. Fournier, A.J. Dore, R.I. Smith, K. J. Weston, D. Fowler

“…The national network is established with over 80 sampling locations. …”
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Neuro-Mimetic Developmental Architecture for Continual Learning Through Self-Organizing Multimodal Perception Coordination by Farhan Dawood, Naoki Masuyama, Chu Kiong Loo

“…In order to construct cohesive representations and extract meaningful insights from the environment, the brain utilizes patterns from a variety of sensory inputs, including vision and sound. …”
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Identification and Validation of Aging-Related Genes in IgA Nephropathy in the Asian Population by Shu J, Li H, Li H

“…CIBERSORT algorithm was used to evaluate immune infiltration and its relationship with hub genes. …”
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Mobile phone data for anticipating displacements: practices, opportunities, and challenges by Bilgeçağ Aydoğdu, Özge Bilgili, Subhi Güneş, Albert Ali Salah

“…The paper concludes by evaluating the potential benefits of MPD analysis for targeted and effective policy interventions and discusses future research avenues, drawing on recent studies and ongoing collaborations with mobile network operators.…”
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Video-Based Plastic Bag Grabbing Action Recognition: A New Video Dataset and a Comparative Study of Baseline Models by Pei Jing Low, Bo Yan Ng, Nur Insyirah Mahzan, Jing Tian, Cheung-Chi Leung

“…The second approach leverages a multiple-frame <i>convolutional neural network</i> (CNN) to exploit temporal and spatial patterns in the video data. …”
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Enhanced MRI brain tumor detection using deep learning in conjunction with explainable AI SHAP based diverse and multi feature analysis by Asif Rahman, Maqsood Hayat, Nadeem Iqbal, Fawaz Khaled Alarfaj, Salem Alkhalaf, Fahad Alturise

“…This study investigates the synergy among multiple feature representation schemes such as local Binary Patterns (LBP), Gabor filters, Discrete Wavelet Transform, Fast Fourier Transform, Convolutional Neural Networks (CNN), and Gray-Level Run Length Matrix alongside five learning algorithms namely: k-nearest Neighbor, Random Forest, Support Vector Classifier (SVC), and probabilistic neural network (PNN), and CNN. …”
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Identification of therapeutic targets in lung adenocarcinoma using Mendelian randomization and multi-omics by Yue Li, Keru Ma, Hao Wang, Zongying Liu, Zhuying Li

“…Functional interactions were explored via protein–protein interaction network analysis, while single-cell analyses were employed to determine cell-specific expression patterns and differentiation trajectories. …”
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Probing for consciousness in machines by Mathis Immertreu, Mathis Immertreu, Achim Schilling, Achim Schilling, Andreas Maier, Andreas Maier, Patrick Krauss, Patrick Krauss, Patrick Krauss

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