ROLE OF SOME MICRONUTRIENTS IN THE HEALING PROCESS OF DIABETIC ULCERS by Minka Hristova, Antoniya Hachmeriyan

Get full text

Ultrawideband Impulse Radar Through-the-Wall Imaging with Compressive Sensing by Wenji Zhang, Moeness G. Amin, Fauzia Ahmad, Ahmad Hoorfar, Graeme E. Smith

“…Compressive Sensing (CS) provides a new perspective for addressing radar applications requiring large amount of measurements and long data acquisition time; both issues are inherent in through-the-wall radar imaging (TWRI). …”
Get full text

Large-Scale Apple Orchard Identification from Multi-Temporal Sentinel-2 Imagery by Chunxiao Wu, Yundan Liu, Jianyu Yang, Anjin Dai, Han Zhou, Kaixuan Tang, Yuxuan Zhang, Ruxin Wang, Binchuan Wei, Yifan Wang

“…Finally, to address the issue of the low proportion of apple orchards in remote sensing images, a Convolutional Block Attention Module (CBAM) and Focal Loss function were integrated into the SegNet model, followed by hyperparameter optimization, resulting in AOCF-SegNet. …”
Get full text

Probiotic Interventions in Systemic Sclerosis Patients: A Systematic Review and Future Prospects by Zahra Mirfeizi, Mahmoud Mahmoudi, Marzieh Monemi, Amin Tajerian, Arezoo Faridzadeh

“…This review explores the potential of probiotics in managing SSc‐related gastrointestinal issues and modulating immune responses, highlighting the need for innovative treatments to improve patient well‐being. …”
Get full text

Federated Learning for a Dynamic Edge: A Modular and Resilient Approach by Leonardo Almeida, Rafael Teixeira, Gabriele Baldoni, Mário Antunes, Rui L. Aguiar

“…This paper addresses these issues by proposing a novel modular and resilient FL framework. …”
Get full text

An Energy Control and Management System forUrban Rail Transit by LI Hongbo, ZHANG Chao, HUANG Zihao, WANG Xiong, LUO Wenguang, ZHANG Zhixue

“…With the rapid development of rail transit, issues of a large amount of energy consumption, serious emission and so forth are increasingly the focus of social attention. …”
Get full text

Case Report: Heparin-induced thrombocytopenia following double filtration plasmapheresis in a patient with anti-GAD65 autoimmune encephalitis by Ying Chen, Wanwan Li, Liping Ni, Yufang Mei, Yan Zhou, Wenbin Wan

“…Treatment for AE involves reducing antibody levels and suppressing immune-mediated inflammation using intravenous immunoglobulin, plasma exchange (PE), and immune-modulating agents. PE is commonly used in autoimmune neurological diseases, but the safety issues of PE are worth continuous attention. …”
Get full text

Assembly mechanism of fingolimod in lipid raft nanostructure domain by Wu Huan

“…Loading drugs into the human body through nanoliposomes is a common treatment method, but due to limited observation scale and resolution, there are still many issues regarding the assembly, adsorption, and impact of FTY720 on lipid raft nanostructured domains. …”
Get full text

Design of a home video behavior recognition system based on visual privacy security mechanism by D.M. Zhao

“…In response to the above issues, this study introduces compressed perception theory and temporal adaptive modules to achieve visual shielding, and based on this, designs a home video behavior system based on visual privacy security mechanism. …”
Get full text

A Low-Complexity Transformer-CNN Hybrid Model Combining Dynamic Attention for Remote Sensing Image Compression by L. L. Zhang，X. J. Wang，J. H. Liu, Q. Z. Fang

“…This framework includes two critical modules: the Dynamic Attention Model (DAM) and the Hyper-Prior Hybrid Attention Model (HPHAM). …”
Get full text

The Emerging Role of Botulinum Neurotoxin in Psoriasis Management: A Review of Mechanisms, Evidence, and Challenges by Ramadan S. Hussein

“…Current therapies, including topical and systemic agents, often face limitations such as incomplete efficacy, side effects, and patient compliance issues. Botulinum neurotoxin (BoNT), traditionally used in cosmetic dermatology and neurology, has emerged as a novel potential treatment due to its ability to modulate neuroinflammatory pathways and immune responses. …”
Get full text

Enhancing Brain Tumor Detection: A Comparative Study of CNN Architectures Using MRI Data by Zhu Zhimeng

“…VGG19-BMT incorporates targeted optimizations, including adjustments to convolutional layers and improved feature extraction modules. A systematic comparative analysis of VGG19-BMT and traditional CNN models was conducted using the Kaggle dataset “Brain MRI Images for Brain Tumor Detection.” …”
Get full text

Internet Supported Psychological Interventions (ISPIs) and Mobile Phone Applications: A Literature Review and Proposed Model by Pieter Rossouw, Francesca Reddington

“…The model provides standardised homework modules as an adjunct to therapy with feedback to the consulting therapist. …”
Get full text

Schoolcube: Gamification for Learning Management System through Microsoft SharePoint by Mohd Amir Azmi, Dalbir Singh

“…These factors have contributed to the issues as to why LMSs are not being used effectively and efficiently. …”
Get full text

Current Trends in Class Imbalance Learning for Software Defect Prediction by Somya R. Goyal

“…Software defect prediction is of high importance to manage the software development efforts by focusing the testing efforts on the fault-prone modules. Imbalanced defect data causes detrimental impact on the performance of software defect predictors. …”
Get full text

Messaging malignancy: Tumour-derived exosomes at the nexus of immune escape, vascular remodelling and metastatic competence by Yildirim Duygu T., Baki Yildirim A., Salzet Michel, Bertelli Matteo, Beccari Tommaso, Prakash Satya, Pascucci Luisa, Dundar Munis

“…Recent high-throughput technologies have enabled detailed profiling of exosomal cargo; however, substantial challenges persist in their clinical application due to issues in isolation and standardization. This review systematically dissects these molecular biogenesis controversies, the roles of tumor-derived exosomes in modulating angiogenesis, immune escape, metastasis, and therapy resistance, and critically evaluates barriers hindering their clinical adoption.…”
Get full text

RSNC-YOLO: A Deep-Learning-Based Method for Automatic Fine-Grained Tuna Recognition in Complex Environments by Wenjie Xu, Hui Fang, Shengchi Yu, Shenglong Yang, Haodong Yang, Yujia Xie, Yang Dai

“…Based on YOLOv8s-seg, RSNC-YOLO integrates Reparameterized C3 (RepC3), Selective Channel Down-sampling (SCDown), a Normalization-based Attention Module (NAM), and C2f-DCNv3-DLKA modules. By utilizing a subset of images selected from the Fishnet Open Image Database, the model achieves a 2.7% improvement in mAP@0.5 and a 0.7% improvement in mAP@0.5:0.95. …”
Get full text

Application of ResUNet-CBAM in Thin-Section Image Segmentation of Rocks by Ling Zhao, Huili Zhang, Xianda Sun, Zhaozhuo Ouyang, Chengwu Xu, Xudong Qin

“…By incorporating residual modules, the network depth is expanded, and the CBAM attention mechanism enhances the feature weighting capability during learning. …”
Get full text

Monitoring and prediction spatiotemporal vegetation changes using NDVI index and CA-Markov model (case study: Kermanshah city) by Shadman Darvishi, Karim Solaimani

“…Kermanshah city as one of the growing areas in recent years has experienced a large population growth and due to the role of population in land use changes and vegetation cover, this issue requires awareness of the vegetation status of this area for proper management of natural resources. …”
Get full text

The multifaceted roles of E3 ubiquitin ligases in osteoarthritis by Zheng Jin, Zhenhua Zhu, Jun Chen, Xiaopeng Jing, Jie Tan, Ji Zeng

“…They identify specific substrates and attach ubiquitin molecules to substrates, thus modulating protein stability, function, and cellular localization. …”
Get full text