Results 141 to 150 of about 11,534,535 (349)

Functional parameters of spermatozoa obtained by a new selection device

open access: yesFEBS Open Bio, EarlyView.
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

One parameter groups of isometries on certain Banach spaces [PDF]

open access: bronze, 1976
Richard J. Fleming   +2 more
openalex   +1 more source

Characterization of ribosome heterogeneity during endothelial to hematopoietic transition

open access: yesFEBS Open Bio, EarlyView.
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

open access: yesIEEE Transactions on Signal Processing
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

Effective Parameter Method in Space-Dependent Neutron Slowing Down Problem [PDF]

open access: bronze, 1975
Koji Yamamoto   +3 more
openalex   +1 more source

Precision‐Optimised Post‐Stroke Prognoses

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
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

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