Results 81 to 90 of about 1,906,785 (292)

A Structural Analysis of the Correlated Random Coefficient Wage Regression Model [PDF]

We estimate a finite mixture dynamic programming model of schooling decisions in which the log wage regression function is set in a random coefficient framework.
Christian Belzil, Jörgen Hansen
core  

A Study of Panel Logit Model and Adaptive Neuro-Fuzzy Inference System in the Prediction of Financial Distress Periods [PDF]

, 2010
The purpose of this paper is to present two different approaches of financial distress pre-warning models appropriate for risk supervisors, investors and policy makers. We examine a sample of the financial institutions and electronic companies of Taiwan
Giovanis, Eleftherios
core  

Basroparib inhibits YAP‐driven cancers by stabilizing angiomotin

Molecular 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, Dong Young Kim, Yuna Kim, Uk‐Il Kim, Jae‐Sung Kim   +4 more
wiley   +1 more source

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

Molecular 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

Análises da persistência na lactação de vacas da raça Holandesa, usando produção no dia do controle e modelo de regressão aleatória Analysis of persistency in the lactation of Holstein cows using test-day yield and random regression model

Revista Brasileira de Zootecnia, 2004
Foram utilizados 87.045 registros de produção de leite, na primeira lactação, de 11.023 vacas da raça Holandesa, obtidos nos anos de 1997 a 2001, em diferentes rebanhos distribuídos em dez núcleos do Estado de Minas Gerais.
Jaime Araujo Cobuci, Ricardo Frederico Euclydes, Claudio Napolis Costa, Paulo Sávio Lopes, Robledo de Ameida Torres, Carmen Silva Pereira   +5 more
doaj   +1 more source

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

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, Michael W. Rohr, Joseph A. Goode, Sai Preethi Nakkina, Jignesh G. Parikh, Deborah A. Altomare   +5 more
wiley   +1 more source

Random Forest Regression May Become the Optimal Regression Model for Osteoarthritis of the Knee in Elderly, in the Context of Embodied Cognition and Psychosomatic Medicine

Journal of Multidisciplinary Healthcare
Guangyuan Ma,1,* Junjie Chen,2,3,* Jingchi Li,2,3 Hui Shi,1 Yi Chen1 1School of Humanities and Management, Southwest Medical University, Luzhou, Sichuan, People’s Republic of China; 2Department of Orthopedics, The Affiliated Traditional ...
Ma G, Chen J, Li J, Shi H, Chen Y
doaj  

A novel analysis of random forest regression model for wind speed forecasting

Cogent Engineering
This article uses a random forest regression (RFR) model to analyze wind speed forecasting. Wind energy is one of the more critical potentials in renewable energy sources for producing a clean and safe environment. Accurate and stable wind forecasting is
Sathyaraj J, Sankardoss V
doaj   +1 more source

Genetic parameters for test-day model with random regressions for production traits of Czech Holstein cattle

Czech Journal of Animal Science, 2005
Multiple-lactation random regression model was applied to test-day records of milk, fat and protein yields in the first three lactations of the Czech Holstein breed.
L. Zavadilová, J. Jamrozik, L.R. Schaeffer   +2 more
doaj   +1 more source

Decomposition of ethnic heterogeneity on growth [PDF]

Empirical results from a random-effects regression model show that ethnic heterogeneity has a negative effect on growth. The negative effect is seen largely in the hampering of efficiency improvements, but not capital accumulation.Ethnic ...
Yamamura, Eiji
core   +1 more source