Results 231 to 240 of about 1,553,026 (307)
A closed‐loop “Concentrate‐Destroy” strategy is presented for completely eliminating short‐chain and emerging PFAS, in which the new 3D PPy@P‐CF is used for efficiently concentrating PFAS and Cu2+‐mediated photodegradation is applied for the completely destroying PFAS in the sorbent regeneration eluent.
Hao Yu +5 more
wiley +1 more source
Correction: How pain intensity and mental disorders shape chronic pain sick leave and quality of life in the general Spanish population. [PDF]
Neumann C +34 more
europepmc +1 more source
Fibrotic liver stiffness activates hepatic stellate cells through Piezo1‐dependent calcium influx and ER stress, promoting EV‐associated GMFG release. Delivered GMFG engages TNS4 in pancreatic cancer cells, triggering FAK/AKT signaling, adhesion, and fatty acid synthesis.
Biwen Zhu +11 more
wiley +1 more source
Corrigendum to "Estimation of the global number of nicotine vapers in 2025" [Global Epidemiology 11 (2026) 100257]. [PDF]
Jerzyński T, Mzhavanadze G, Stimson GV.
europepmc +1 more source
A pH/MMP dual‐responsive Bifidobacterium longum (BL) hydrogel (INPs@BL@Gel) functionalized with baicalin, tyrosine, and inulin is constructed. It enables gastric protection, inflammation‐targeted release, and prolonged intestinal colonization. By remodeling gut microbiota, elevating beneficial neuroactive metabolites (homovanillic acid, short‐chain ...
Shuo Zhang +17 more
wiley +1 more source
Three little pigs and one big bad wolf: The parable of data sharing in epidemiology. [PDF]
Burstyn I.
europepmc +1 more source
An integrative single‐cell atlas across multiple metabolic diseases reveals coordinated metabolic modules and disease‐shared versus disease‐specific pathway activities. By systematically comparing scoring strategies, a robust RankAve framework is established. Coupled with network analysis and drug‐target prediction, this resource uncovers cross‐disease
Kuan Yang +10 more
wiley +1 more source
On the evolution of the company we keep: Implications for infectious disease modeling. [PDF]
Mossong J.
europepmc +1 more source
Ovarian Cancer Diagnosis and Chemoresistance Prediction Model Based on cfRNA Molecular Signature
A deep learning model analyzes cfRNA profiles extracted from the blood of OVCA patients. This innovative approach distinguishes OVCA from healthy controls with high accuracy. Crucially, it reliably predicts patient response to chemotherapy (sensitive versus resistant subgroups).
Qinhao Guo +14 more
wiley +1 more source

