Results 101 to 110 of about 24,751 (244)
IRT Observed-score Kernel Equating
Item response theory (IRT) observed-score kernel equating is described for thenon-equivalent groups with anchor test equating design using either chain equating orpost-stratification equating. The equating function is treated in a multivariate setting andthe asymptotic covariance matrices of IRT observed-score kernel equating functions arederived ...
Andersson, Björn, Wiberg, Marie
openaire +1 more source
An Opto‐Actuated Hydrogel for Cell Mechanoactuation and Real‐Time Force Monitoring
Researchers developed a mechanoactuated hydrogel interface where nanomachines exert forces on adhesion receptors and allow monitoring of traction force responses in real time. They demonstrate reversible talin recruitment, enhanced F‐actin polymerization, and a reduction in cell traction force when force is locally applied to focal adhesions of ...
Rinku Kumar +6 more
wiley +1 more source
A Virtual Clinical Trial of Psychedelics to Treat Patients With Disorders of Consciousness
Disorders of consciousness after severe brain injury are marked by reduced complexity of brain activity and limited treatment options. Using personalized whole‐brain models, this study shows that simulated lysergic acid diethylamide (LSD) and psilocybin shift patient brain dynamics closer to criticality.
Naji L.N. Alnagger +17 more
wiley +1 more source
A Comparative Evaluation of Kernel Equating and Test Characteristic Curve Equating. [PDF]
De Ayala RJ, Smith B, Norman Dvorak R.
europepmc +1 more source
Dietary habits play a key role in chronic diseases, and higher annual consumption of fruit and vegetable may lower risk of dementia. Artificial intelligence predicts the lipid‐like compound α‐Amyrin (αA) from plants with edible peels as a drug candidate against Alzheimer's disease.
Shu‐Qin Cao +36 more
wiley +1 more source
Kernel Equating Under the Non-Equivalent Groups With Covariates Design. [PDF]
Wiberg M, Bränberg K.
europepmc +1 more source
Unpaired Learning‐Enabled Nanotube Identification from AFM Images
Identifying nanotubes on rough substrates is notoriously challenging for conventional image analysis. This work presents an unpaired deep learning approach that automatically extracts nanotube networks from atomic force microscopy images, even on complex polymeric surfaces used in roll‐to‐roll printing.
Soyoung Na +10 more
wiley +1 more source
This study introduces DualPG‐DTA, a framework integrating two pre‐trained models to generate molecular and protein representations. It constructs dual graphs processed by specialized neural networks with dynamic attention for feature fusion, achieving superior benchmark performance.
Yihao Chen +7 more
wiley +1 more source
Early Detection of Cell Death Using Transmembrane Water Exchange Magnetic Resonance Imaging
Cell death is important in both the development and treatment of cancer. In this study, it is demonstrated for the first time that a specific measurement of the transmembrane water exchange rate using magnetic resonance imaging can be used as an early marker of cell death in mammalian cells, in animals and in human patients. Abstract Cell death plays a
Athanasia Kaika +22 more
wiley +1 more source
Utilizing dual‐site fiber photometry, this study examines cortico‐striatal coupling with cell type resolution, identifying behavior‐ and cell type‐specific cortico striatal decoupling and its dopamine‐dependent mechanism in a Parkinson's disease mouse model.
Xu‐Ran Yao +4 more
wiley +1 more source

