Results 211 to 220 of about 6,725,926 (309)

Demonstrating library value: the development of a customizable Library Value Planner. [PDF]

open access: yesJ Can Health Libr Assoc
Mueller M   +4 more
europepmc   +1 more source

Enhancing Anti‐Tumor Effects of Engineered Extracellular Vesicles via Endocytosis Route Switching and Interferon Response Suppression

open access: yesAdvanced Science, EarlyView.
CD19‐293‐EV can switch the CD19 endocytosis pathway from clathrin‐mediated endocytosis to aggregation‐dependent endocytosis, leading to lysosomal degradation of the CD19/EVs complex. Degradation of the EVs leads to impairment in the IFN response and enhancement in EV uptake by target cells, creating a potent feedback cycle.
Zixuan Huang   +17 more
wiley   +1 more source

Alternative Pathway for Methyl Supply through the Coupling of SHMT1 and PEMT to Maintain Astrocytic Homeostasis in Parkinson's Disease

open access: yesAdvanced Science, EarlyView.
In Parkinson's disease, SHMT1 downregulation disrupts its interaction with PEMT in astrocytes, reducing SAM levels. This leads to H3K4me1 hypomethylation and decreased Slc1a2/Glul expression, ultimately exacerbating neuroexcitotoxicity and dopaminergic neuron loss.
Yue‐Han Chen   +17 more
wiley   +1 more source

Machine Learning for Green Solvents: Assessment, Selection and Substitution

open access: yesAdvanced Science, EarlyView.
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta   +4 more
wiley   +1 more source

Harm reduction services and interventions for People Who Use Drugs (PWUD) in Latin America and the Caribbean (LAC) between 2013-2024: A scoping review protocol. [PDF]

open access: yesPLoS One
Bórquez I   +8 more
europepmc   +1 more source

Intelligent Sensing: The Emerging Integration of Machine Learning and Soft Sensors Based on Hydrogels and Ionogels

open access: yesAdvanced Science, EarlyView.
By integrating with machine learning (ML), hydrogel‐ and ionogel‐based soft sensors are gaining human brain‐like capabilities to perceive, learn, and predict. This review summarizes their advances, focusing on ML‐powered applications such as handwriting/gesture/object/motion/speech recognition, health monitoring, food detection, and beyond.
Wenqing He   +8 more
wiley   +1 more source

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