Uncovering the evolution of vanadium cycle in China during 2000–2022 by Dong Wu, Yong Geng, Ziyan Gao, Yifan Wu

Get full text

Frequently asked questions and answers on Visually-Provoked (Photosensitive) epilepsy by Dorothée Kasteleijn-Nolst Trenité, Jayant Acharya, Fiona Mitchell Baumer, Roy Beran, Dana Craiu, Jaqueline French, Pasquale Parisi, Jessica Solodar, Jerzy P. Szaflarski, Yukitoshi Takahashi, Liu Lin Thio, Ben Tolchin, Arnold Wilkins, Robert S. Fisher

“…How do I enable safety features to block content that could trigger seizures on social media, websites, phones, laptops and tablets?…”
Get full text

Decoding the GRAS code: evolutionary phylogeny and functional diversification of a key gene family in Populus simonii by Junbo Chen, Guowei Yao, Xinru Bi, Yishuang Ren, Luping Jiang, Xiaoyu Xie, Lu Han, Wanying Chen, Yi Hao, Kewei Cai, Dandan Zhang, Xiyang Zhao

“…Conclusions This study systematically identified and characterized 89 GRAS genes in Populus simonii, revealing their uneven chromosomal distribution, conserved structural features, and diverse expression patterns across tissues and stress conditions. …”
Get full text

Monomorphic sustained right ventricular outflow tract tachycardia in pregnancy with favorable outcomes: a case report by Gidion Edwin, Joshua Ezekiel, Baraka Alphonce, Kelvin Masava, John Meda

“…A 12-lead electrocardiogram showed multiple monomorphic sustained ventricular tachycardia with the left bundle branch block pattern suggestive of right ventricular outflow tract tachycardia. …”
Get full text

Vision-Based Grasping Method for Prosthetic Hands via Geometry and Symmetry Axis Recognition by Yi Zhang, Yanwei Xie, Qian Zhao, Xiaolei Xu, Hua Deng, Nianen Yi

“…The method utilizes computer vision to extract the geometric shape, spatial position, and symmetry axis of target objects and selects appropriate grasping modes and postures through the extracted features. First, grasping patterns are classified based on the analysis of hand-grasping movements. …”
Get full text

Subcortical Brain Segmentation Based on a Novel Discriminative Dictionary Learning Method and Sparse Coding by Xiang Li, Ying Wei, Yunlong Zhou, Bin Hong

Get full text

Fault Diagnosis of Train Bogie Bearing Based on Multi-scale Sample Entropy Improved Extreme Learning Machine by JIN Zhenzhen, HE Deqiang, MIAO Jian, XU Weichang

“…Then, the extreme learning machine is optimized by particle swarm optimization, and the input weights and hidden node thresholds are obtained. Finally, the feature vector set is divided into test set and training set, and the improved extreme learning machine is used as a pattern recognition algorithm for fault pattern recognition. …”
Get full text

Performance Evaluation of Hybrid Bio-Inspired and Deep Learning Algorithms in Gene Selection and Cancer Classification by Shahad S. Alkamli, Hala M. Alshamlan

“…Meanwhile, deep learning models excel in pattern recognition and automated feature extraction, offering a complementary approach to traditional gene selection techniques. …”
Get full text

Link Prediction in Social Networks Using the HTOA by Foad Asef, Vahid Majidnezhad, Mohammad-Reza Feizi-Derakhshi

“…Comparisons with other optimization techniques, such as the Genetic Algorithm (GA) and Particle Swarm Optimization (PSO), reveal that the proposed method outperforms them in selecting key features and achieving faster convergence. These characteristics make the proposed method a suitable choice for real-world applications, including recommender systems, large-scale social network analysis, and interaction pattern detection. …”
Get full text

Change in Fractional Vegetation Cover and Its Prediction during the Growing Season Based on Machine Learning in Southwest China by Xiehui Li, Yuting Liu, Lei Wang

“…The predicted spatial change trends were consistent with the MODIS-MOD13A3-FVC and FY3D-MERSI-FVC, although the predicted FVC values were slightly higher but closer to the MODIS-MOD13A3-FVC. The feature importance scores from the LightGBM model indicated that digital elevation model (DEM) had the most significant influence on FVC among the six input features. …”
Get full text

A Novel Human Action Recognition Model by Grad-CAM Visualization with Multi-level Feature Extraction Using Global Average Pooling with Sequence Modeling by Bidirectional Gated Recu... by Jayamohan Manoharan, Yuvaraj Sivagnanam

“…In response to these shortcomings, a multilevel feature extraction approach was proposed by integrating spatial and temporal features to improve the action recognition precision. …”
Get full text

Establishing a periodic SM model with Fourier analysis for enhancing global soil moisture forecasting by Jinlong Zhu, Shengyi Wang, Qingliang Li

“…This study underscores that the LSTM with periodic features of SM can adapt to the inherent complex spatial-temporal patterns in SM dynamics, especially in scenarios characterized by rapid environmental changes and subtle temporal dynamics.…”
Get full text

Studies on the impact of key environmental variables on kashmir catfish (Glyptothorax kashmirensis Hora, 1923) distribution and abundance in Azad Jammu and Kashmir, Pakistan by Nagina Gilani, MUHAMMAD RAFIQUE, Shamim Akhter, Huma Qureshi, Ahmad Shoaib, Shakeel Ahmad

“…Present work explains the relationship of species relative abundance and physicochemical features of the species, which may assist species conservation. …”
Get full text

An Enhanced Opinion Retrieval Approach on Arabic Text for Customer Requirements Expansion by Sarah Saad Eldin, Ammar Mohammed, Hesham Hefny, Ahmed Sharaf Eldin Ahmed

“…This paper proposed an enhanced opinion retrieval approach depending on the explicit feature based opinion mining. The proposed approach expands the initial products’ requirements using extended heuristics and linguistic patterns of the Arabic opinions. …”
Get full text

CANini: In-Depth Traffic Analysis for Design and Robustness Evaluation of DTree-Based IDS in Automotive Networking Systems by Nicasio Canino, Pierpaolo Dini, Stefano Mazzetti, Daniele Rossi, Sergio Saponara

“…Our analysis offers a comprehensive and extensive characterization of CAN network traffic, examining specifically inter-frame arrival times and patterns in data bytes. We proceeded to test these features by designing a simple anomaly-based IDS that employs a multiclass Decision Tree classifier. …”
Get full text

MEDIA IMAGE OF NON-CENTRAL TERRITORY IN RUSSIAN MEDIA by Nikolay L. Shamne, Marina V. Milovanova

“…Certain patterns in the named features representation within the framework of hyponymous media images are revealed, which in general enables determination of a hyperonymous media image structure. …”
Get full text

Antioxidant and Physico-Structural Insights of Walnut (<i>Juglans regia</i>) and Hazelnut (<i>Corylus avellana</i> L.) Shells: Implications for Southern Chile By-Product Valorizati... by Carlos Manterola-Barroso, Karina Godoy Sanchez, Erick Scheuermann, Daniela Padilla-Contreras, Filis Morina, Cristian Meriño-Gergichevich

“…In addition, the morphological and structural features of both nutshells examined by scavenging electron microscopy (VP-SEM) and confocal scavenging laser microscopy (CSLM) revealed differential tissue distribution and accumulation patterns of both cellulose and lignin. …”
Get full text

Wi-FiAG: Fine-Grained Abnormal Gait Recognition via CNN-BiGRU with Attention Mechanism from Wi-Fi CSI by Anming Dong, Jiahao Zhang, Wendong Xu, Jia Jia, Shanshan Yun, Jiguo Yu

“…Abnormal gait recognition, which aims to detect and identify deviations from normal walking patterns indicative of various health conditions or impairments, holds promising applications in healthcare and many other related fields. …”
Get full text

Clinical Characteristics, Risk Factors, and Predictors of Nonobese Fatty Liver Disease: A Cross-Sectional Study by Zhang X, Wang S, Xu S, Min R, Ling Y, Sun S, Gong R

“…FT3/FT4 may be a predictor of non-obese fatty liver disease.Keywords: Fatty liver, Non-obese type, Risk Factors, Forecasting, Clinical Features…”
Get full text

A Hybrid Learning Framework for Enhancing Bridge Damage Prediction by Amal Abdulbaqi Maryoosh, Saeid Pashazadeh, Pedram Salehpour

“…The proposed approach combines pixel-based feature method local binary pattern (LBP) with the mid-level feature bag of visual words (BoVW) for feature extraction, followed by the Apriori algorithm for dimensionality reduction and optimal feature selection. …”
Get full text