Beyond Grades: Temperament and Interests, but Not School Grades, Highlight Distinct Polymathic Learning Abilities. [PDF]
Trofimova IN, Araki ME.
europepmc +1 more source
Evaluation of Subject Knowledge Enhancement Courses : Technical report : Analysis of survey data 2011-12 [PDF]
Dennison, Mary +3 more
core
The ER's continuous tubular network is maintained by ER‐shaping proteins whose mutation or dysregulation contributes to neurodegenerative diseases. Here, we show that ER morphology sets the speed of Ca2+ store replenishment between firing events. Disrupting ER continuity slows intra‐ER Ca2+ redistribution from extracellular refill (SOCE) sites, driving
Valentina Davi +13 more
wiley +1 more source
Tracking Tool for Fiddler Crabs in Natural Settings to Promote a Model Organism for Synchrony. [PDF]
Khatib H, Abrams DM, Amichay G.
europepmc +1 more source
Protein complexes like KIBRA‐PKMζ are crucial for maintaining memories, forming month‐long protein traces in memory‐tagged neurons, but conventional RNA‐seq analysis fails to detect their transcript changes, leaving memory molecules undetected in the shadows of abundantly‐expressed genes.
Jiyeon Han +10 more
wiley +1 more source
Counting particles in cryo-electron microscopy may result in incorrect population estimates. [PDF]
Evans L +5 more
europepmc +1 more source
Hierarchical Artificial Muscle with Nonlinear Elasticity for Antagonistic and Cyclic Robotics
We construct hierarchical muscles by plying nylon fibers around a heating wire. The hierarchical muscle shows a J‐shaped passive curve, which shows benefit in antagonistic muscle pair and work accumulation mechanism. We also develop a computational, first‐principle model to understand the physics of both active actuation stroke and passive J‐curve ...
Samuel Tsai +15 more
wiley +1 more source
A mathematical model to simulate the biological action of Infliximab on TNF- α in patients with Inflammatory Bowel Disease: the critical role of drug clearance. [PDF]
Portillo AM, De Prado Á, Soares AJ.
europepmc +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source

