Results 61 to 70 of about 705,258 (293)

Dimensional Regularisation and Factorisation Schemes in the BFKL Equation at Subleading Leve

open access: yes, 2005
We study the anomalous dimensions and coefficient functions generated by the BFKL equation in 4+2 epsilon dimensions, by investigating both running coupling effects, and the inclusion of the full next-to-leading kernel.
Dimitri Colferai   +11 more
core   +2 more sources

Basroparib inhibits YAP‐driven cancers by stabilizing angiomotin

open access: yesMolecular Oncology, EarlyView.
Basroparib, a selective tankyrase inhibitor, suppresses Wnt signaling and attenuates YAP‐driven oncogenic programs by stabilizing angiomotin. It promotes AMOT–YAP complex formation, enforces cytoplasmic YAP sequestration, inhibits YAP/TEAD transcription, and sensitizes YAP‐active cancers, including KRAS‐mutant colorectal cancer, to MEK inhibition.
Young‐Ju Kwon   +4 more
wiley   +1 more source

Assessment of the performance of haematological and non-invasive fibrotic indices for the monitoring of chronic HBV infection: a pilot study in a Ghanaian population

open access: yesBMC Research Notes, 2023
Objective Haematological and liver fibrotic markers could be appreciably utilized for effective monitoring of Chronic Hepatitis B viral (HBV) infection, thereby increasing patient’s treatment outcome.
Eric N. Y. Nyarko   +4 more
doaj   +1 more source

RaMBat: Accurate identification of medulloblastoma subtypes from diverse data sources with severe batch effects

open access: yesMolecular Oncology, EarlyView.
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley   +1 more source

Estimating Systematic Risk: Case For Borsa Istanbul

open access: yesSelçuk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 2014
The structure of the data set has a great impact on the estimation results. Especially the methods, which are affected by outliers like Ordinary Least Squares OLS , will lead to biased results.
Filiz Yeşilyurt   +2 more
doaj  

The Connection between Systematic Risk and Corporate Income Tax (A case study of the Tehran Stock Exchange) [PDF]

open access: yesFaslnāmah-i Pizhūhish/Nāmah-i Iqtisādī, 2014
Corporate income taxes are the major source of tax revenues. This tax affects the systematic risks that companies confront with. Based on the data about 283 companies over period 2004-2011, we use random effects panel data models to examine the ...
Ayub Abozari   +2 more
doaj  

Estimating beta-mixing coefficients.

open access: yesJMLR workshop and conference proceedings, 2011
Comment: 9 pages, accepted by AIStats.
McDonald, Daniel J.   +2 more
openaire   +2 more sources

Colorectal cancer‐derived FGF19 is a metabolically active serum biomarker that exerts enteroendocrine effects on mouse liver

open access: yesMolecular Oncology, EarlyView.
Meta‐transcriptome analysis identified FGF19 as a peptide enteroendocrine hormone associated with colorectal cancer prognosis. In vivo xenograft models showed release of FGF19 into the blood at levels that correlated with tumor volumes. Tumoral‐FGF19 altered murine liver metabolism through FGFR4, thereby reducing bile acid synthesis and increasing ...
Jordan M. Beardsley   +5 more
wiley   +1 more source

Estimate Beta Coefficient of CAPM Based on a Fuzzy Regression with Interactive Coefficients

open access: yesJournal of Applied Mathematics and Physics, 2015
In the Capital Asset Pricing Model (CAPM), beta coefficient is a very important parameter to be estimated. The most commonly used estimating methods are the Ordinary Least Squares (OLS) and some Robust Regression Techniques (RRT). However, these traditional methods make strong as sumptions which are unrealistic.
Yalei Du, Qiujun Lu
openaire   +2 more sources

Network divergence analysis identifies adaptive gene modules and two orthogonal vulnerability axes in pancreatic cancer

open access: yesMolecular Oncology, EarlyView.
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson   +9 more
wiley   +1 more source

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