Environmental Health

Antimicrobial peptides: An important link in the game theory between plants and pathogens.

BACKGROUND: Antimicrobial peptides (AMPs) are peptides produced by organisms during the evolutionary process to defend themselves against external biotic stresses. Broadly speaking, AMP is a generic term for peptides evolved by the natural immune defense system of an organism to protect against external pathogens. AMPs are a variety of naturally occurring molecules that are important lines of defe...

Hybrid butterfly optimization and back propagation neural network for enhanced smart city data classification.

Smart cities aim to enhance resource efficiency and improve citizens' quality of life through advanced technologies. One of the key challenges in this domain is accurately classifying large volumes of heterogeneous and imbalanced data generated by urban systems such as traffic, pollution, and utilities. This paper presents a novel hybrid classification framework that integrates the Butterfly Optim...

Aptamer-directed siRNA delivery systems for triple-negative breast cancer therapy.

Triple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer characterized by the absence of estrogen, progesterone, and HER2 recept...

Microrobots for Antibiotic-Resistant Skin Colony Eradication.

Self-propelled nano- and micromachines have immense potential as autonomous seek-and-act devices in biomedical applications. In this study, we present...

Noise pollution monitoring at pedestrian level by autonomous vehicles in urban areas.

This study presents a mobile noise monitoring system designed to assess pedestrian-level environmental noise using an autonomous ground vehicle (Yape)...

Microplastics assessment in the lower stretch of the Ganga River sediment from East Indian region: Influence of land use and rainfall patterns.

Microplastic (MP) pollution is increasingly viewed as a serious threat to waterways. However, little is known about the effects of land use and rainfa...

Developing sediment concentration prediction in the Euphrates River catchment, Türkiye, with a honey badger and coati optimization-based hybrid algorithm.

Estimation of sediment concentration (SC) is of vital importance in terms of siltation and economic life of dams, lakes and aqueducts, reservoir opera...

Toxicity of nanoplastics: machine learning combined with meta-analysis.

Nanoplastics (NPs) are widespread in ecosystems, and their biohazards are of increasing concern. The hazards posed by NPs to aquatic and terrestrial p...

Polarization of dryland vegetation response to spring flood.

Dryland vegetation plays a pivotal role in the global ecosystem and is extraordinarily sensitive to water pulses, yet it is experiencing increasingly ...

Revolutionizing Satellite Real-Time Air Pollution Alerts through New On-Orbit System-on-Chip Technology.

Exposure to abnormally high concentrations of particulate matter and ozone can cause severe harm to human health, highlighting the need for real-time ...

Recognition of suspended particles based on Mueller matrix microscopic imaging and deep learning.

Suspended particles are widely present in various aquatic environments, but they are difficult to detect and identify for diverse materials, complex m...

Specificity and Selectivity of Raman Spectroscopy for the Detection of Dose-Dependent Heavy Metal Toxicities.

Contamination of farmland with heavy metals (HMs), particularly arsenic, cadmium, and lead, poses significant risks to human health and food security,...

2025 Southeastern Surgical Congress Presidential Address: Leadership and Innovation in Surgery: A Vision for the Future.

Surgeons have always been at the forefront of transformative change in medicine-driven by a unique blend of technical expertise, decisiveness, and vis...

Identifying New Candidate Predictors of Mortality in Japanese Patients with Severe Drug Eruptions.

UNLABELLED: BACKGROUND AND OBJECTIVES: SCORe of Toxic Epidermal Necrolysis (SCORTEN) and ABCD-10 have been developed as scoring systems for predicting...

Diffusive gradient in thin films combined with machine learning to discern the accumulation characteristics and driving factors of Cd and Cu in soil-rice systems.

The dietary exposure risk of cadmium (Cd) in rice is significantly higher than that of copper (Cu), while the co-migration of Cd and Cu in the soil-cr...

Entomopathogenic nematodes: Commercial use and future perspectives.

The 100 years of research, development, commercialization and use of entomopathogenic nematodes (EPN) since their discovery in the 1920 s have seen im...

Discovery of Novel Anti-Acetylcholinesterase Peptides Using a Machine Learning and Molecular Docking Approach.

OBJECTIVE: Alzheimer's disease poses a significant threat to human health. Currenttherapeutic medicines, while alleviate symptoms, fail to reverse the...

Evaluating Hangzhou's urgent source-specific regulatory policies for the 2024 New Year haze: A receptor model and machine learning approach.

China's PM2.5 levels have significantly declined over the past decade due to stringent air pollution controls. However, severe autumn and winter haze ...

Assessing risk of groundwater pollution exposure from sea level rise in California.

Sea level rise (SLR) will cause a groundwater table rise in coastal aquifers, and this can trigger exposure to toxic chemicals via direct contact with...

A transfer learning-enhanced deep learning framework for efficient and interpretable soil heavy metal pollution prediction under data scarcity and spatial heterogeneity.

Large-scale soil heavy metal pollution risk estimation remains challenging due to data scarcity and spatial heterogeneity. Although traditional machin...