Results 81 to 90 of about 1,785,688 (300)
Dirty engineering data-driven inverse prediction machine learning model
Scientific Reports, 2020 Most data-driven machine learning (ML) approaches established in metallurgy research fields are focused on a build-up of reliable quantitative models that predict a material property from a given set of material conditions.
Jin-Woong Lee +5 more
doaj +1 more source
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
Model-Driven Approaches for Reverse Engineering—A Systematic Literature Review
IEEE AccessMany organizations depend on software systems to accomplish their daily tasks, but these systems need to be maintained and evolved to cope with various changes and requirements.
Hanan Abdulwahab Siala +2 more
doaj +1 more source
An Integrated Modeling, Simulation and Analysis Framework for Engineering Complex Systems
IEEE Access, 2019 The discipline of component-based modeling and simulation offers promising gains in reducing cost, time, and the complexity of model development through the (re)use of modular components.
Imran Mahmood +4 more
doaj +1 more source
Model-Driven Software Engineering in Practice, Second Edition
Model-Driven Software Engineering in Practice, 2017 This book discusses how model-based approaches can improve the daily practice of software professionals. This is known as Model-Driven Software Engineering (MDSE) or, simply, Model-Driven Engineering (MDE).
Marco Brambilla, Jordi Cabot, M. Wimmer
semanticscholar +1 more source
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
Model Driven Language Engineering
Electronic Notes in Theoretical Computer Science, 2003 AbstractThere is currently much interest in model driven approaches to software engineering. The basic idea is to make business, architecture and design models frst class artefacts that are not discarded once the code gets built, but rather can be exercised independently, be reconciled with each other and underlying implementations, and used to ...
openaire +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
A Hitchhiker's Guide to Model-Driven Engineering for Data-Centric Systems
IEEE Software, 2020 The models and data framework demystifies the different roles that models and data play in software development and operation and clarifies where machine learning and artificial intelligence techniques could be used.
Benoît Combemale +24 more
semanticscholar +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