Total arsenic and inorganic arsenic in Myanmar rice.

Myanmar is a major rice exporter. Rice is an important source of nourishment for its population. However, rice can be contaminated with toxic elements, including arsenic, long-term exposure to which has been linked to several illnesses, including cancer.

Prevalence of dengue, Zika, and chikungunya virus infections among mosquitoes in Asia: A systematic review and meta-analysis.

Background: Dengue virus (DENV), Zika virus (ZIKV), and chikungunya virus (CHIKV) continue to pose significant public health risks. This study aims to assess the prevalence of these arbovirus infections in field-caught mosquitoes across Asia.

Methods: Studies published after the year 2000 on DENV, ZIKV, and/or CHIKV infections in Asian mosquitoes were identified from Embase, Scopus, PubMed, and Ovid.

OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning.

Federated learning (FL) has emerged as a promising approach to collaboratively train machine learning models across multiple edge devices while preserving privacy. The success of FL hinges on the efficiency of participating models and their ability to handle the unique challenges of distributed learning. While several variants of Vision Transformer (ViT) have shown great potential as alternatives to modern convolutional neural networks (CNNs) for centralized training, the unprecedented size and higher computational demands hinder their deployment on resource-constrained edge devices, challenging their widespread application in FL.

A Complete Review of Automatic Detection, Segmentation, and Quantification of Neovascularization in Optical Coherence Tomography Angiography Images.

Optical coherence tomography (OCT) is revolutionizing the way we assess eye complications such as diabetic retinopathy (DR) and age-related macular degeneration (AMD). With its ability to provide layer-by-layer information on the retina, OCT enables the early detection of abnormalities emerging underneath the retinal surface. The latest advancement in this field, OCT angiography (OCTA), takes this to the next level by providing detailed vascular information without requiring dye injections.

Contrastive encoder pre-training-based clustered federated learning for heterogeneous data.

Federated learning (FL) is a promising approach that enables distributed clients to collaboratively train a global model while preserving their data privacy. However, FL often suffers from data heterogeneity problems, which can significantly affect its performance. To address this, clustered federated learning (CFL) has been proposed to construct personalized models for different client clusters.