Results 251 to 260 of about 61,598 (309)

Comparative evaluation of 4DCT and 4DCBCT for motion and volume measurement accuracy in a dynamic phantom. [PDF]

J Appl Clin Med Phys
Handa B, Rathee S.
europepmc   +1 more source

Predictable and Scalable Analog Matrix–Vector Multiplication in Memristor Crossbars via Closed‐Form Wire‐Resistance Compensation

Advanced Electronic Materials, EarlyView.
Wire resistance and sneak paths severely compromise the performance of large memristor crossbars. A predictive closed‐form distributed line‐resistance model, combined with a fourmatrix geometry‐averaging algorithm, eliminates these parasitic limitations.
Davide Rossetti, Yichun Xu, Ludovica Asselta, J. Joshua Yang, R. Stanley Williams, Fernando Corinto   +5 more
wiley   +1 more source

4D Flow MRI at 0.6 T-Self-Gating Versus Camera-Based Respiratory Binning. [PDF]

Bioengineering (Basel)
Emery S, Jacobs L, Malich J, Wolkerstorfer G, Dong Y, Ercan E, Smink J, Nagtegaal M, Kozerke S.   +8 more
europepmc   +1 more source

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

Advanced Intelligent Discovery, EarlyView.
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing, He Wang, Yangyang Sun, Xiaoquan Su, Shunyao Wu   +4 more
wiley   +1 more source

A discussion of cryo-EM terminology as the outreach and number of PDB entries expand. [PDF]

IUCrJ
Klaholz BP.
europepmc   +1 more source

FIRE‐GNN: Force‐Informed, Relaxed Equivariance Graph Neural Network for Rapid and Accurate Prediction of Surface Properties

Advanced Intelligent Discovery, EarlyView.
This study introduces FIRE‐GNN, a force‐informed, relaxed equivariant graph neural network for predicting surface work functions and cleavage energies from slab structures. By incorporating surface‐normal symmetry breaking and machine learning interatomic potential‐derived force information, the approach achieves state‐of‐the‐art accuracy and enables ...
Circe Hsu, Claire Schlesinger, Karan Mudaliar, Jordan Leung, Robin Walters, Peter Schindler   +5 more
wiley   +1 more source

Fractal and Machine Learning Analyses of MALDI-TOF Mass Spectrometry Data in Glioblastoma. [PDF]

Comput Struct Biotechnol J
Lazari LC, Azemi G, Russo C, Rosa-Fernandes L, Oba-Shinjo SM, Marie SKN, Di Ieva A, Palmisano G.   +7 more
europepmc   +1 more source

Metagenome-assembled genomes recovered from the gut microbiomes of simian immunodeficiency virus-infected rhesus macaques. [PDF]

Microbiol Resour Announc
Pham EQ, Gaulke CA, Eisen JA, Dandekar S.   +3 more
europepmc   +1 more source

Optimising the tilt increment for in situ cryo-electron tomography. [PDF]

Elife
Tuijtel MW, Majtner T, Turoňová B, Beck M.   +3 more
europepmc   +1 more source

Evolution of hierarchical phase-contrast tomography on the European Synchrotron beamlines BM05 and BM18: a whole adult human brain imaging case study. [PDF]

J Synchrotron Radiat
Dejea H, Brunet J, Urban T, Berruyer C, Mirone A, Jarnias C, Bellier A, Walsh C, Lee PD, Tafforeau P.   +9 more
europepmc   +1 more source