Identifying and Prioritizing Chemicals with Uncertain Burden of Exposure: Opportunities for Biomonitoring and Health-Related Research. [PDF]
, 2019 BackgroundThe National Institutes of Health's Environmental influences on Child Health Outcomes (ECHO) initiative aims to understand the impact of environmental factors on childhood disease. Over 40,000 chemicals are approved for commercial use.
(Environmental influences on Child Health Outcomes) +9 more
core
Curcumin Mitigates Immune-Induced Epithelial Barrier Dysfunction by Campylobacter jejuni [PDF]
, 2019 Campylobacter jejuni (C. jejuni) is the most common cause of foodborne gastroenteritis worldwide. The bacteria induce diarrhea and inflammation by invading the intestinal epithelium. Curcumin is a natural polyphenol from turmeric rhizome of Curcuma longa,
Bereswill, Stefan +14 more
core +1 more source
By dawn or dusk—how circadian timing rewrites bacterial infection outcomes
FEBS Letters, EarlyView.The circadian clock shapes immune function, yet its influence on infection outcomes is only beginning to be understood. This review highlights how circadian timing alters host responses to the bacterial pathogens Salmonella enterica, Listeria monocytogenes, and Streptococcus pneumoniae revealing that the effectiveness of immune defense depends not only
Devons Mo +2 more
wiley +1 more source
Dropout in Neural Networks Simulates the Paradoxical Effects of Deep Brain Stimulation on Memory
Frontiers in Aging Neuroscience, 2020 Neuromodulation techniques such as deep brain stimulation (DBS) are a promising treatment for memory-related disorders including anxiety, addiction, and dementia.
Shawn Zheng Kai Tan +5 more
doaj +1 more source
A Novel Improved Grey Incidence Model for Evaluating the Performance of Supply Chain Resilience
Discrete Dynamics in Nature and Society, 2023 Under uncertain conditions, stronger supply chain resilience can effectively reduce disruption risks and help enterprises achieve their goal of high-quality operations.
Feipeng Huang
doaj +1 more source
Quick and Efficient Quantitative Predictions of Androgen Receptor Binding Affinity for Screening Endocrine Disruptor Chemicals Using 2D-QSAR and Chemical Read-Across [PDF]
, 2022 Arkaprava Banerjee +4 more
openalex +1 more source
Phosphatidylinositol 4‐kinase as a target of pathogens—friend or foe?
FEBS Letters, EarlyView.This graphical summary illustrates the roles of phosphatidylinositol 4‐kinases (PI4Ks). PI4Ks regulate key cellular processes and can be hijacked by pathogens, such as viruses, bacteria and parasites, to support their intracellular replication. Their dual role as essential host enzymes and pathogen cofactors makes them promising drug targets.
Ana C. Mendes +3 more
wiley +1 more source
Peptide‐based ligand antagonists block a Vibrio cholerae adhesin
FEBS Letters, EarlyView.The structure of a peptide‐binding domain of the Vibrio cholerae adhesin FrhA was solved by X‐ray crystallography, revealing how the inhibitory peptide AGYTD binds tightly at its Ca2+‐coordinated pocket. Structure‐guided design incorporating D‐amino acids enhanced binding affinity, providing a foundation for developing anti‐adhesion therapeutics ...
Mingyu Wang +9 more
wiley +1 more source
An interpretable disruption predictor on EAST using improved XGBoost and SHAP
Nuclear FusionThe development of a disruption predictor using a data-driven solution is an effective way to avoid or mitigate tokamak device disruptions. The black-box nature of the model itself determines the agnostic nature of its decision base and becomes a key ...
D.M. Liu +7 more
doaj +1 more source
Machine Learning for Plasma Disruption Prediction in TCABR
IEEE AccessPlasma disruptions are one of the most critical challenges in tokamak operations, as they can severely damage reactor components and compromise fusion performance.
Vinicius M. Neto +3 more
doaj +1 more source