Results 121 to 130 of about 1,846,953 (347)
Searching, Matching and Education: a Note [PDF]
In this paper the individual optimal level of education is set in a frictional labor market, where matching is not perfect. Also search frictions are a function of the average education can improve economic efficiency, not only through improvements in ...
João Cerejeira Silva
core
Molecular 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
An Empirical Micro Matching Model with an Application to Italy and Spain [PDF]
A large literature investigates the role of frictions in explaining labour market dynamics. Their presence is often summarized by an aggregate matching function relating the number of job matches to total unemployment and total vacancies.
Eliana Viviano, Franco Peracchi
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Molecular Oncology, EarlyView.This work identified serum proteins associated with pancreatic epithelial neoplasms (PanINs) and early‐stage PDAC. Proteomics screens assessed genetically engineered mice with abundant PanINs, KPC mice (Lox‐STOP‐Lox‐KrasG12D/+ Lox‐STOP‐Lox‐Trp53R172H/+ Pdx1‐Cre) before PDAC development and also early‐stage PDAC patients (n = 31), compared to benign ...
Hannah Mearns +10 more
wiley +1 more source
Structural and Cyclical Unemployment: What Can Be Derived from the Matching Function? (in English) [PDF]
We explain movements in the U-V (unemployment and vacancy) space – that is, the relation-ship between stocks of unemployment and job vacancies, known as the Beveridge curve – in the Czech Republic during 1995–2004.
Daniel Münich, Kamil Galušèák
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Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers
Molecular Oncology, EarlyView.This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel +6 more
wiley +1 more source
An image inpainting method based on weighted priority and classification matching
Dianxin kexue, 2017 The calculation of the priority of the pixel to be repaired and the determination of the best matching block are based on two basic steps of the texture synthesis image inpainting method.The traditional method is not suitable because it is difficult to ...
Yan CAO, Wei JIN, Randi FU
doaj +2 more sources
Using matching, instrumental variables and control functions to estimate economic choice models [PDF]
This paper investigates four topics. (1) It examines the different roles played by the propensity score (probabilitiy of selection) in matching, instrumental variable and control functions methods.
Heckman, James, Navarro-Lozano, Salvador
core +3 more sources
Molecular Oncology, EarlyView.Aldehyde dehydrogenase 1A1 (ALDH1A1) is a cancer stem cell marker in several malignancies. We established a novel epithelial cell line from rectal adenocarcinoma with unique overexpression of this enzyme. Genetic attenuation of ALDH1A1 led to increased invasive capacity and metastatic potential, the inhibition of proliferation activity, and ultimately ...
Martina Poturnajova +25 more
wiley +1 more source
Matching Optimization for Automated Negotiation: From a Privacy-Enhanced Data Modeling Perspective
MathematicsAutomated negotiation in multi-agent electronic commerce environments relies heavily on efficient and reliable matching mechanisms to connect negotiation participants.
Ya Zhang, Ruiyang Cao, Jinghua Wu
doaj +1 more source