Results 71 to 80 of about 253,604 (271)
IqgC is a RasGAP from Dictyostelium discoideum. IqgC binds RasG via its RasGAP domain and deactivates it on macroendocytic cups, thereby suppressing the uptake of fluid and particles. IqgC has a positive effect on cell‐substratum adhesion, and its RGCt domain is required for recruitment to ventral foci.
Vedrana Filić +3 more
wiley +1 more source
Optimizing Fault Detection for Big Data Analytics Through Evolutionary Computation [PDF]
P Jothi, Mona Dwivedi
openalex +1 more source
Under environmental changes, the expression level of neuropeptide (NP) and neuropeptide receptor (NPR) genes changes to confer context‐dependent adaptation to the model organism Drosophila melanogaster. Through finding more regulatory elements in the NPR genes in comparison with their ligands (NPs), we found that NPR‐biased transcriptional regulation ...
SeungHeui Ryu +6 more
wiley +1 more source
Interactive Evolutionary Computation for Analyzing Human Awareness Mechanisms
We discuss the importance of establishing awareness science and show the idea of using interactive evolutionary computation (IEC) as a tool for analyzing awareness mechanism and making awareness models.
Hideyuki Takagi
doaj +1 more source
Efficient Computation of Fitness Function for Evolutionary Clustering
Evolutionary algorithms (EAs) are random search heuristics which can solve various optimization problems. There are plenty of papers describing different approaches developed to apply evolutionary algorithms to the clustering problem, although none of ...
Sergey Muravyov +3 more
doaj +1 more source
This study optimizes a two‐step induction system to generate PGCLCs from chicken ESCs. The induced cells express germline markers and migrate to gonads in ovo, offering a novel approach for avian genetic resource conservation. Primordial germ cells (PGCs) are the progenitor cells of sperm and eggs.
Zeyu Li +10 more
wiley +1 more source
Review of Reinforcement Learning and Evolutionary Computation Methods for StrategyExploration [PDF]
Reinforcement learning and evolutionary computation,as two types of nature-inspired learning paradigms,are the mainstream methods for solving strategy exploration problems,and the fusion of these two types of methods provides a general solution for ...
WANG Yao, LUO Junren, ZHOU Yanzhong, GU Xueqiang, ZHANG Wanpeng
doaj +1 more source
Elitism Levels Traverse Mechanism For The Derivation of Upper Bounds on Unimodal Functions [PDF]
In this article we present an Elitism Levels Traverse Mechanism that we designed to find bounds on population-based Evolutionary algorithms solving unimodal functions. We prove its efficiency theoretically and test it on OneMax function deriving bounds c{
Ter-Sarkisov, Aram
core +1 more source
Call for papers: Special issue on deep learning and evolutionary computation for satellite imagery [PDF]
Krishna P. Singh, Akansha Singh
openalex +1 more source
The impact of Hnrnpl deficiency on transcriptional patterns of developing muscle cells
We performed nanopore whole‐transcriptome sequencing comparing RNA from Hnrnpl‐knockdown versus control C2C12 myoblasts to investigate the contributions of Hnrnpl to muscle development. Our results indicate that Hnrnpl regulates the expression of genes involved with Notch signaling and skeletal muscle, particularly splicing patterns of specific muscle ...
Hannah R. Littel +8 more
wiley +1 more source

