Biomass‐derived hydrochars as eco‐friendly adsorbents for wastewater treatment applications
Abstract Emerging organic pollutants (EOPs), such as diethyl phthalate (DEP), bisphenol A (BPA), and methylene blue (MB), are only partially removed in conventional wastewater treatment plants. This study assesses hydrochars produced by hydrothermal carbonization (HTC) of spruce bark (SB), vine shoots (VSs), and wheat straw (WSs) for removing three ...
Emanuel Gheorghita Armanu +6 more
wiley +1 more source
Divergent Mechanisms of Antidepressant Efficacy: A Unified Computational Comparison of Synaptogenesis, Stabilization, and Tonic Inhibition in a Model of Depression. [PDF]
Cheung N.
europepmc +1 more source
Abstract Objective Addressing the poorly understood impact of pediatric epilepsy on neurodevelopment, this large‐scale study delineates age‐ and sex‐stratified neurostructural trajectories in magnetic resonance imaging (MRI)‐negative pediatric epilepsy to identify periods of maximal developmental divergence from healthy controls.
Yingfan Wang +10 more
wiley +1 more source
LMP-PM: a lightweight multi-path pruning method for plant leaf disease recognition. [PDF]
Hua J, Zou F, Zhu Y, Deng J, He R.
europepmc +1 more source
Syndrome‐specific and familial imaging traits in juvenile absence epilepsy
Abstract Objective Juvenile absence epilepsy (JAE) is an idiopathic generalized epilepsy characterized by absences, generalized tonic–clonic seizures, and cognitive difficulties. In contrast to juvenile myoclonic epilepsy (JME), where distinct functional and structural brain alterations are well established, it remains unclear whether comparable ...
Fenglai Xiao +15 more
wiley +1 more source
Dynamic graph convolution with comprehensive pruning and GNN classification for precise lymph node metastasis detection. [PDF]
H N C, N S, S AR, Singh C, Y R.
europepmc +1 more source
AI‐based localization of the epileptogenic zone using intracranial EEG
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida +5 more
wiley +1 more source
MAAR-Net: Multi-scale attention-assisted residual neural network for renal microvascular structure segmentation. [PDF]
Wang T +10 more
europepmc +1 more source
Interpretable tree‐based models integrate microseismic, geological, and mining indicators to predict short‐term rockburst risk. SHAP analysis reveals the dominant role of energy‐related features and clarifies nonlinear factor interactions, enabling transparent and reliable early‐warning in deep coal mines.
Shuai Chen +4 more
wiley +1 more source
Spatial heterogeneity in microglia-complement crosstalk: Implications for synaptic pruning in Alzheimer's disease. [PDF]
Ye Q +10 more
europepmc +1 more source

