Results 71 to 80 of about 604,826 (264)

Thresholding Approach for Low-Rank Correlation Matrix Based on MM Algorithm. [PDF]

Entropy (Basel), 2022
Tanioka K, Furotani Y, Hiwa S.
europepmc   +1 more source

Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system

FEBS Letters, EarlyView.
Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley   +1 more source

Comparison of selection indices using different weights for biometrical characters in bajra crop

Electronic Journal of Plant Breeding, 2018
The data on different biometrical characters of large scale varietal trial having 21 genotypes of bajra were collected from regional research station, Anand for present study.
Kalola A. D., D. J. Parmar, G. N. Motka and, P. R. Vaishnav   +3 more
doaj   +1 more source

Rank correlation inferences for clustered data with small sample size. [PDF]

Stat Neerl, 2022
Hunsberger S, Long L, Reese SE, Hong GH, Myles IA, Zerbe CS, Chetchotisakd P, Shih JH.   +7 more
europepmc   +1 more source

A methionine‐lined active site governs carbocation stabilization and product specificity in a bacterial terpene synthase

FEBS Letters, EarlyView.
This study reveals a unique active site enriched in methionine residues and demonstrates that these residues play a critical role by stabilizing carbocation intermediates through novel sulfur–cation interactions. Structure‐guided mutagenesis further revealed variants with significantly altered product profiles, enhancing pseudopterosin formation. These
Marion Ringel, Carl P. O. Helmer, Shani Zev, Ronja Driller, Emily Buhr, Markus Reinbold, Renana Schwartz, Gabriel Foley, Mikael Boden, Daniel Garbe, Gerhard Schenk, Dan Thomas Major, Bernhard Loll, Thomas Brück   +13 more
wiley   +1 more source

Noninvasive prenatal prediction of fetal haplotype with Spearman rank correlation analysis model. [PDF]

Mol Genet Genomic Med, 2022
Hanxiao D, Luming S, Songchang C, Jingmin Y, Yueping Z, Shuo Z, Hongyan C, Ning J, Daru L.   +8 more
europepmc   +1 more source

Aggressive prostate cancer is associated with pericyte dysfunction

Molecular Oncology, EarlyView.
Tumor‐produced TGF‐β drives pericyte dysfunction in prostate cancer. This dysfunction is characterized by downregulation of some canonical pericyte markers (i.e., DES, CSPG4, and ACTA2) while maintaining the expression of others (i.e., PDGFRB, NOTCH3, and RGS5).
Anabel Martinez‐Romero, Ane Martinez‐Larrinaga, Joaquim Grego‐Bessa, Saioa Garcia‐Longarte, Hielke van Splunder, Ianire Astobiza, Amaia Ercilla, Laura Bozal‐Basterra, Isabel Mendizabal, Pilar Villacampa, Arkaitz Carracedo, Mariona Graupera   +11 more
wiley   +1 more source

Heterogeneidade e avaliação genética em bovinos, estudo utilizando dados simulados = Heterogeneity and genetic evaluation in bovines, a study using simulated data

Acta Scientiarum: Animal Sciences, 2008
Para estudar os efeitos de heterogeneidade sobre a avaliação genética de bovinos, foram simuladas várias estruturas de dados com heterogeneidade para diferentes parâmetros, com e sem conexidade genética entre rebanhos. O “software” Genesys foi usado para
Antonio Policarpo Souza Carneiro, Robledo de Almeida Torres, Paulo Sávio Lopes, Ricardo Frederico Euclydes, Paulo Luiz Souza Carneiro, Fabyano Fonseca e Silva   +5 more
doaj  

An Improved Ranking-Based Feature Enhancement Approach for Robust Speaker Recognition

IEEE Access, 2016
Although the field of automatic speaker or speech recognition has been extensively studied over the past decades, the lack of robustness has remained a major challenge.
Furong Yan, Aidong Men, Bo Yang, Zhuqing Jiang   +3 more
doaj   +1 more source

FBA-PRCC. Partial Rank Correlation Coefficient (PRCC) Global Sensitivity Analysis (GSA) in Application to Constraint-Based Models. [PDF]

Biomolecules, 2023
Sorokin A, Goryanin I.
europepmc   +1 more source