Results 131 to 140 of about 524,719 (351)
Enriching Reverse Engineering with Feature Analysis
, 2007 System comprehension is a prerequisite for software maintenance and evolution, but it is a time-consuming and costly activity. In an effort to support system comprehension, researchers have devised many different reverse engineering techniques.
Greevy, Orla
core
FEBS Letters, EarlyView.Plasma membranes contain dynamic nanoscale domains that organize lipids and receptors. Because viruses operate at similar scales, this architecture shapes early infection steps, including attachment, receptor engagement, and entry. Using influenza A virus and HIV‐1 as examples, we highlight how receptor nanoclusters, multivalent glycan interactions ...
Jan Schlegel, Christian Sieben
wiley +1 more source
Towards Feature-Oriented Specification and Development with Event-B
, 2007 A proposal is made for the development of a feature-oriented reuse capability for safety-critical software construction using rigorous methods. We pr´ecis the Event-B language - the evolution of the B-Method of J.-R.
Poppleton, Michael
core
FEBS Letters, EarlyView.Embryo‐like structures (stembryos) are an innovative tool, but they are hindered by experimental variability and limited developmental potential. DNA methylation is crucial for mammalian development, but its status in stembryo models is poorly characterized.
Sara Canil +4 more
wiley +1 more source
pH‐mediated activation of the lysosomal arginine sensor SLC38A9
FEBS Letters, EarlyView.Cells monitor nutrient levels via the lysosomal transporter SLC38A9 to activate the mechanistic target of rapamycin complex 1 (mTORC1). This study reveals that SLC38A9 function is regulated by pH. We identified histidine 544 as a critical pH sensor that undergoes conformational changes to control amino acid efflux from lysosomes; therefore, it ...
Xuelang Mu, Ampon Sae Her, Tamir Gonen
wiley +1 more source
Feature engineering for energy systems
, 2020 Features play an important role in machine learning applications. This report explores several fundamental elements of feature engineering as well as automated feature Specifically, we deploy the state-of-the-art feature engineering tool known as ...
Liew, Wee Yeong
core
Web-based graphical user interface for automated materials feature engineering for machine learning
Science and Technology of Advanced Materials: MethodsDesigning descriptors for materials and catalysts within machine learning is a complex process. In particular, material compositions can be represented using information from the periodic table. Additionally, feature engineering and feature selection add
Yoshiki Hasukawa +5 more
doaj +1 more source
FEBS Letters, EarlyView.Ascidian Ciona larvae initially show strong clockwise tail twisting, which is largely corrected during development. However, a small residual twist remains. This study shows that organized helical myofibrils in tail muscles mechanically stabilize this residual asymmetry, preventing complete restoration of bilateral symmetry and revealing how embryos ...
Yuki S. Kogure +3 more
wiley +1 more source
FEBS Letters, EarlyView.Septin 9 polybasic domains couple phosphoinositide‐rich membrane binding to centrosome positioning, Golgi organization, and microtubule acetylation to control epithelial polarity. Their loss disrupts this axis, causing centrosome mispositioning, Golgi fragmentation, reduced microtubule acetylation, and polarity inversion via upregulation of the ...
Ting ting Cai +4 more
wiley +1 more source
Automating feature engineering in machine Learning
, 2020 Feature engineering is a vital part of machine learning that transforms massive raw data into the applicable feature set, and many algorithms of feature engineering have been proposed to promote the efficiency and accuracy of this process.
Zhu, Haoyu
core