Results 211 to 220 of about 1,190,155 (295)
QBP1 Peptide as a Potential Anti‐Amyloidogenic Therapy for Type 2 Diabetes: An In Vitro Study
The anti‐amyloidogenic peptide QBP1 effectively halts human islet amyloid polypeptide (hIAPP) aggregation, preventing the formation of toxic β‐structured intermediates. Through a combination of biophysical assays, molecular dynamics, and cell‐based studies, QBP1 is shown to preserve β‐cell viability and metabolic homeostasis, positioning it as a ...
María M. Tejero‐Ojeda +8 more
wiley +1 more source
Working between systems: an umbrella review of care navigator roles and responsibilities. [PDF]
Wijekulasuriya S +9 more
europepmc +1 more source
Using machine learning on a mega‐scale global dataset (n = 1,336,840) reveals a robust personality trait architecture beyond the Big Five. A Big Two model, broadly capturing social engagement and internal mentation, defines a geometric space that links personality to neurocognitive profiles.
Kaixiang Zhuang +7 more
wiley +1 more source
Electronic Structure Reorganization in MPS3 via d‐Shell‐Selective Alkali Metal Doping
Alkali metal doping of layered MPS3 antiferromagnets reveals d‐shell‐selective responses. While MnPS3 resists charge transfer due to its half‐filled 3d5 shell, FePS3 and NiPS3 behave similarly to CoPS3 by accommodating extra d‐electrons. Yet only CoPS3, with its least stable d‐shell, undergoes pronounced band restructuring and a semiconducting‐to ...
Jonah Elias Nitschke +12 more
wiley +1 more source
Design Your Data to Speak: Visualization Tweaks for Maximum Impact. [PDF]
Marcelin JR +2 more
europepmc +1 more source
We introduce AutomataGPT, a generative pretrained transformer (GPT) trained on synthetic spatiotemporal data from 2D cellular automata to learn symbolic rules. Demonstrating strong performance on both forward and inverse tasks, AutomataGPT establishes a scalable, domain‐agnostic framework for interpretable modeling, paving the way for future ...
Jaime A. Berkovich +2 more
wiley +1 more source
Author Correction: Associative conditioning in gene regulatory network models increases integrative causal emergence. [PDF]
Pigozzi F, Goldstein A, Levin M.
europepmc +1 more source

