Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1002/gps.6124 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
EVOLVING TRENDS AND EMERGING THEMES IN GUT MICROBIOTA RESEARCH: A COMPREHENSIVE BIBLIOMETRIC ANALYSIS (2015-2024).
Arq Gastroenterol
September 2025
The Japanese Society of Internal Medicine, Editorial Department, Tokyo, Japan.
Background: This study aims to analyze research trends and emerging insights into gut microbiota studies from 2015 to 2024 through bibliometric analysis techniques. By examining bibliographic data from the Web of Science (WoS) Core Collection, it seeks to identify key research topics, evolving themes, and significant shifts in gut microbiota research. The study employs co-occurrence analysis, principal component analysis (PCA), and burst detection analysis to uncover latent patterns and the development trajectory of this rapidly expanding field.
View Article and Find Full Text PDFAttention Gated-VGG with deep learning-based features for Alzheimer's disease classification.
Neurodegener Dis Manag
September 2025
Department of Computer Science and Engineering, SRM Institute of Science and Technology (SRMIST), Tiruchirappalli Campus, Trichy, India.
Background: Alzheimer's disease (AD) is considered to be one of the neurodegenerative diseases with possible cognitive deficits related to dementia in human subjects. High priority should be put on efforts aimed at early detection of AD.
Research Design And Methods: Here, images undergo a pre-processing phase that integrates image resizing and the application of median filters.
YOLOv11-WBD: A wavelet-bidirectional network with dilated perception for robust metal surface defect detection.
PLoS One
September 2025
Department of Smart Manufacturing, Industrial Perception and Intelligent Manufacturing Equipment Engineering Research Center of Jiangsu Province, Nanjing Vocational University of Industry Technology, Nanjing, Jiangsu, China.
In the field of quality control, metal surface defect detection is an important yet challenging task. Although YOLO models perform well in most object detection scenarios, metal surface images under operational conditions often exhibit coexisting high-frequency noise components and spectral aliasing background textures, and defect targets typically exhibit characteristics such as small scale, weak contrast, and multi-class coexistence, posing challenges for automatic defect detection systems. To address this, we introduce concepts including wavelet decomposition, cross-attention, and U-shaped dilated convolution into the YOLO framework, proposing the YOLOv11-WBD model to enhance feature representation capability and semantic mining effectiveness.
View Article and Find Full Text PDFPhototherapeutic antibacterial applications of porphyrin-based metal-organic frameworks.
Chem Commun (Camb)
September 2025
School of Pharmacy, Nantong University, Nantong, Jiangsu Province, 226001, China.
In recent years, photosensitizer-based phototherapy has gained increasing attention in antibacterial applications due to its low cost, noninvasive nature, and low drug resistance. Among various materials, porphyrin-based metal-organic frameworks (MOFs) have demonstrated great potential, due to their good biocompatibility, facile designability, and excellent light absorption capabilities that enable highly efficient antibacterial efficacy. However, further optimization of their antibacterial performance remains a key challenge.
View Article and Find Full Text PDFA robust deep learning-driven framework for detecting Parkinson's disease using EEG.
Comput Methods Biomech Biomed Engin
September 2025
Institute of Radio Physics and Electronics, University of Calcutta, Kolkata, India.
Parkinson's disease (PD) is a neurodegenerative condition that impairs motor functions. Accurate and early diagnosis is essential for enhancing well-being and ensuring effective treatment. This study proposes a deep learning-based approach for PD detection using EEG signals.
View Article and Find Full Text PDF