Results 141 to 150 of about 11,534,535 (349)
Multiple symmetry protected BIC lines in two dimensional synthetic parameter space. [PDF]
Zhang F, Chu Q, Wang Q, Zhu S, Liu H.
europepmc +1 more source
Functional parameters of spermatozoa obtained by a new selection device
This study compares density gradient centrifugation and the LensHooke CA0™ device for sperm separation. DGC requires multiple steps, specialized equipment, and technical expertise. In contrast, the CA0 device offers key practical and methodological advantages, resulting in a faster, simpler, and more affordable sperm selection method.
Julio C. Chávez+8 more
wiley +1 more source
A transdiagnostic review of safety, efficacy, and parameter space in accelerated transcranial magnetic stimulation. [PDF]
Caulfield KA+3 more
europepmc +1 more source
One parameter groups of isometries on certain Banach spaces [PDF]
Richard J. Fleming+2 more
openalex +1 more source
Characterization of ribosome heterogeneity during endothelial to hematopoietic transition
The panorama of ribosome heterogeneity during embryonic hematopoiesis has not yet been portrayed. In this study, utilizing dual‐omics data, the heterogenous dynamic of ribosome during endothelial‐to‐hematopoietic transition has been systemically described. Moreover, stage‐specific upregulation and peripheral localization of RPL27 and RACK1 in hemogenic
Xitong Tian+4 more
wiley +1 more source
Parameter Estimation on Homogeneous Spaces
The Fisher Information Metric (FIM) and the associated Cramér-Rao Bound (CRB) are fundamental tools in statistical signal processing, which inform the efficient design of experiments and algorithms for estimating the underlying parameters. In this article, we investigate these concepts for the case where the parameters lie on a homogeneous space ...
Shiraz Khan, Gregory S. Chirikjian
openaire +2 more sources
Finite-state parameter space maps for pruning partitions in modularity-based community detection. [PDF]
Gibson RA, Mucha PJ.
europepmc +1 more source
Effective Parameter Method in Space-Dependent Neutron Slowing Down Problem [PDF]
Koji Yamamoto+3 more
openalex +1 more source
Precision‐Optimised Post‐Stroke Prognoses
ABSTRACT Background Current medicine cannot confidently predict who will recover from post‐stroke impairments. Researchers have sought to bridge this gap by treating the post‐stroke prognostic problem as a machine learning problem, reporting prediction error metrics across samples of patients whose outcomes are known.
Thomas M. H. Hope+4 more
wiley +1 more source