Results 181 to 190 of about 852,714 (282)

TTNPB Promotes Human Pluripotent Stem Cell‐to‐Neural Stem Cell Transition via Modulation of Chromatin Accessibility and the S‐(5′‐adenosyl)‐L‐homocysteine/Choline Metabolic Network

open access: yesAdvanced Science, EarlyView.
A retinoic acid receptor agonist, TTNPB, drives the efficient generation of advanced neural stem cells (ANSCs) from human pluripotent stem cells. TTNPB‐centered chromatin remodeling and metabolic reprogramming, promote neuroectoderm commitment. The resulting cells show robust neural potential and functional efficacy in a rat depression model.
Ruilin Du   +17 more
wiley   +1 more source

Learning as a missing component of digital health, environment and climate change. [PDF]

open access: yesNPJ Digit Med
Orton M   +16 more
europepmc   +1 more source

Mendelian Randomization and Double Machine Learning Modeling Reveal Brain Imaging‐Derived Phenotypes as Functional Contributors to 18 Autoimmune Inflammatory Diseases

open access: yesAdvanced Science, EarlyView.
This schematic integrates the eight statistically significant causal relationships identified between 1,366 brain imaging‐derived phenotypes (IDPs) and 18 autoimmune inflammatory diseases (AIDs). Arrows indicate the direction of causality inferred from bidirectional two‐sample MR analyses.
Jinbin Chen   +8 more
wiley   +1 more source

Universal Solvent Escape Strategies for Efficient Curing of Hydrogen‐Bond‐Rich 3D Printing Inks

open access: yesAdvanced Science, EarlyView.
This study developed a new 3D printing method for hydrogen‐bonded polymers by combining solvent replacement, nanoparticles, and optimized printing paths. This allows fast, precise scaffold fabrication. The scaffolds can be easily customized and release therapeutic agents slowly through protonation, enabling personalized bone, blood vessel, and nerve ...
Jie Chen   +11 more
wiley   +1 more source

THE CLASSIFICATION OF CLIMATES

open access: yesMonthly Weather Review, 1906
openaire   +2 more sources

From Pores to Pavement: Advanced Modeling of Aluminosilicates for Scalable Carbon Capture in Concrete

open access: yesAdvanced Science, EarlyView.
This study presents a transferable modeling framework for carbon capture using aluminosilicates, integrating Universal Isotherm Modeling with experimental data. It reveals how ultramicropores, alumina content, and amine functionalization influence CO2 adsorption energetics.
Pooja Anil Kumar Nair   +4 more
wiley   +1 more source

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