Environmental Health

Machine learning based prediction of MnO cathode discharge capacity for high-performance zinc-ion batteries.

Zinc-ion batteries (ZIBs) are considered as a cheaper, non-toxic and safer alternative to lithium-io...

Transforming aquatic weeds into resources: Pontederia crassipes, water hyacinth mining for circular bioeconomy.

Globally, a positive shift to renewable and sustainable bioenergy usage has been witnessed over the ...

Artificial intelligence platform to predict children's hospital care for respiratory disease using clinical, pollution, and climatic factors.

BACKGROUND: Hospitals and health care systems may benefit from artificial intelligence (AI) and big ...

Emulating real-world GLP-1 efficacy in type 2 diabetes through causal learning and virtual patients.

Randomized controlled trials (RCTs) remain the benchmark for assessing treatment effects but are lim...

Autonomous De Novo Lead Halide CsPbBr Perovskite Quantum Dots Synthesis Platform With Transfer Learning Accelerated Bayesian Optimization.

Compared to traditional expert-driven pattern, the emerging concept of self-driving labs enabled by ...

Impact of environmental pollution on human health: Investigating the role of Polycyclic Aromatic Hydrocarbons in pediatric osteosarcoma.

BACKGROUND: Polycyclic aromatic hydrocarbons (PAHs), widely emitted through industrial processes and...

Unlocking urban soil secrets: machine learning and spectrometry in Berlin's heavy metal pollution study considering spatial data.

Berlin has historically been impacted by heavy metal (HM) emissions, raising concerns about soil pol...

Wink or blush? Pupil-linked phasic arousal signals both change and uncertainty during assessment of changing environmental regularities.

One main cornerstone of adaptive behavior is belief updating, whereby new and unexpected observation...

Machine learning framework for oxytetracycline removal using nanostructured cupric oxide supported on magnetic chitosan alginate biocomposite.

This research proposes a machine learning controlled method for removing the antibiotic oxytetracycl...

Prognosis of air quality index and air pollution using machine learning techniques.

Air pollution constitutes a significant challenge for both public health and environmental sustainab...

Predicting intersystem crossing rate constants of alkoxy-radical pairs with structure-based descriptors and machine learning.

Peroxy radicals (RO) are ubiquitous intermediates in many oxidation processes, especially in the atm...

Combating Antimicrobial Resistance: Role of Key Stakeholders with Focus on the Pharmaceutical Sector.

Antimicrobial resistance is a pressing global health threat fueled by a complex interplay of biologi...

CTAB-modified Moroccan illite for sustainable removal of anionic and cationic dyes from simulated dye solutions: integrating experimental optimization and computational analysis.

Synthetic dyes in wastewater pose significant environmental risks, necessitating innovative removal ...

Artificial intelligence-enhanced ECG detection of acute coronary occlusion in chest pain patients with ST-elevation in lead aVR - A direct comparison to conventional ECG criteria.

Metal oxide heterostructure towards gas sensing of trimethylamine: recent progress and challenges.

Gas sensors based on metal oxide heterostructures (MOHs) are popular due to their low cost, sensitiv...

Machine learning for predicting and optimizing the performance of a commercial-scale anaerobic digester with diverse feedstocks and operating conditions.

The improper disposal of food waste and livestock manure poses significant environmental risks, incl...

Machine learning and causal inference for disentangling air pollution reduction during the Asian Games in megacity Hangzhou.

Controlling air pollution in megacities remains challenging due to complex pollutant sources, atmosp...

Introduce multivariate two-dimensional information to establish a data-driven volume estimation model for complex microplastic fibers.

Microplastic (MP) fibers are pervasive in the environment, posing significant ecological risks due t...

A review of groundwater vulnerability assessment to nitrate pollution in the Mediterranean region.

The concept of groundwater vulnerability , involving the identification of areas susceptible to cont...

Soil and litter emission sources as important contributors to ozone production from volatile organic compounds in island tropical forests.

While studies have confirmed that volatile organic compounds (VOCs) emitted directly by tropical isl...

Efficient sleep apnea detection using single-lead ECG: A CNN-Transformer-LSTM approach.

BACKGROUND: Sleep apnea (SA), a prevalent sleep-related breathing disorder, disrupts normal respirat...