Results 31 to 40 of about 313,548 (70)

Natural history of left ventricular mechanics in transplanted hearts: relationships with clinical variables and genetic expression profiles of allograft rejection.

open access: yesJACC Cardiovascular Imaging, 2010
M. Eleid   +8 more
semanticscholar   +1 more source

A Hybrid Genetic Expression Programming and Genetic Algorithm (GEP-GA) of Auto-Modeling Electrical Equivalent Circuit for Particle Structure Measurement With Electrochemical Impedance Spectroscopy (EIS)

IEEE Sensors Journal, 2023
A hybrid Genetic Expression Program and Genetic Algorithm (GEP-GA) is proposed for auto-modeling the Electrical Equivalent Circuit (EEC) of particle structure measurement with Electrochemical Impedance Spectroscopy (EIS).
Jianfen Wan   +5 more
semanticscholar   +1 more source

On the Application of Machine Learning in Savonius Wind Turbine Technology: An Estimation of Turbine Performance Using Artificial Neural Network and Genetic Expression Programming

Journal of energy resources technology, 2021
This paper addresses the application of artificial neural network (ANN) and genetic expression programming (GEP), the popular artificial intelligence and machine learning methods, in order to estimate the Savonius wind rotor's performance based on ...
Umang H. Rathod, V. Kulkarni, U. Saha
semanticscholar   +1 more source

Genetic effects on gene expression across human tissues

open access: yesNature, 2017
Characterization of the molecular function of the human genome and its variation across individuals is essential for identifying the cellular mechanisms that underlie human genetic traits and diseases.
Alexis Battle   +2 more
exaly   +2 more sources

Optimization of genetic code expansion in the baculovirus expression vector system (BEVS).

Protein Expression and Purification, 2023
The production of recombinant proteins containing unnatural amino acids, commonly known as genetic code expansion (GCE), represents a breakthrough in protein engineering that allows for the creation of proteins having novel designed properties.
C. Cronin
semanticscholar   +1 more source

Role of Genetic Polymorphism and Expression of Angiopoietin-2 in Patients with Primary Liver Cancer Among the Southeastern Chinese Hans Population

Genetic Testing and Molecular Biomarkers, 2023
Background: Angiopoietin-2 (Ang2)-mediated angiogenesis plays a crucial role in the pathogenesis of vascular-rich cancers. However, the genetic polymorphism and expression level of Ang2 in patients with primary liver cancer remain unknown.
Bin Wang   +4 more
semanticscholar   +1 more source

Estimation of Clear-Water Local Scour at Pile Groups Using Genetic Expression Programming and Multivariate Adaptive Regression Splines

Journal of waterway, port, coastal, and ocean engineering, 2019
The physical process of scour around pile groups is complex. Due to economical and geotechnical considerations, multiple pile bridge piers have become more common in bridge designs.
S. Bateni   +3 more
semanticscholar   +1 more source

Application of genetic expression programming and artificial neural network for prediction of CBR

International Journal on Road Materials and Pavement Design, 2018
The CBR (California bearing ratio) value is an important parameter of the subgrade soil required for the design of pavements. The present study deals with the application of genetic expression programming (GEP) and artificial neural network (ANN) for the
A. Tenpe, Anjan Patel
semanticscholar   +1 more source

A review of microbial responses to biochar addition in anaerobic digestion system: Community, cellular and genetic level findings.

Bioresource Technology, 2023
Biochar, as a well-developed porous material with various excellent properties, has been widely researched and confirmed its promotion effects on anaerobic digestion (AD).
Weixin Zhao   +6 more
semanticscholar   +1 more source

Estimating uniaxial compressive strength of rocks using genetic expression programming

open access: yesJournal of Rock Mechanics and Geotechnical Engineering, 2013
The aim of this paper is to estimate the uniaxial compressive strength (UCS) of rocks with different characteristics by using genetic expression programming (GEP).
A. Özbek, M. Unsal, Aydin Dikec
exaly   +2 more sources

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