Results 71 to 80 of about 3,048,704 (321)
Predicting the Damage of Urban Fires with Grammatical Evolution
Big Data and Cognitive ComputingFire, whether wild or urban, depends on the triad of oxygen, fuel, and heat. Urban fires, although smaller in scale, have devastating impacts, as evidenced by the 2018 wildfire in Mati, Attica (Greece), which claimed 104 lives.
Constantina Kopitsa +3 more
doaj +1 more source
Molecular Oncology, EarlyView.Glioma cells mainly express the endothelin receptor EDNRB, while EDNRA is restricted to a perivascular tumor subpopulation. Endothelin signaling reduces glioma cell proliferation while promoting migration and a proneural‐to‐mesenchymal transition associated with poor prognosis. This pathway activates Ca2+, K+, ERK, and STAT3 signalings and is regulated
Donovan Pineau +36 more
wiley +1 more source
IEEE Access, 2020 We present a new approach based on grammatical evolution (GE) aimed at addressing the analog electronic circuit design problem. In the new approach, called multi-grammatical evolution (MGE), a chromosome is a variable-length codon string that is divided ...
Federico Castejon, Enrique J. Carmona
doaj +1 more source
Restrictions on biological adaptation in language evolution
, 2009 Language acquisition and processing are governed by genetic constraints. A crucial unresolved question is how far these genetic constraints have co-evolved with language, perhaps resulting in a highly specialized, and species-specific language “module”;
Reali, F. +5 more
core +1 more source
Rapid screening of staphylokinase protein variants using an unpurified cell‐free expression system
FEBS Open Bio, EarlyView.An unpurified cell‐free protein synthesis (CFPS) platform enables rapid functional screening of staphylokinase variants. Direct plasminogen‐activation assays performed in microplate format provide real‐time activity readouts, allowing rapid identification and ranking of variants with improved or reduced fibrinolytic activity without protein ...
Maria Tomková +3 more
wiley +1 more source
Dynamic environments can speed up evolution with genetic programming
, 2011 We present a study of dynamic environments with genetic programming to ascertain if a dynamic environment can speed up evolution when compared to an equivalent static environment.
Miguel Nicolau +6 more
core +1 more source
Mass spectrometry based identification of AMP‐O‐Tris generated by Thermococcus onnurineus Cas10
FEBS Open Bio, EarlyView.Isolated Thermococcus onnurineus Cas10 generates the noncanonical ATP‐derived product AMP‐O‐Tris while in Tris‐containing buffer as identified via mass spectrometry, revealing relaxed nucleophile selectivity under isolated conditions. These findings suggest that multiprotein Csm complex assembly restricts Cas10 reactivity toward canonical cyclic ...
Su‐Jin Lee +6 more
wiley +1 more source
Grey Matter Volume in the Cerebellum is Related to the Processing of Grammatical Rules in a Second Language: A Structural Voxel-based Morphometry Study [PDF]
, 2013 The experience of learning and using a second language (L2) has been shown to affect the grey matter (GM) structure of the brain. Importantly, GM density in several cortical and subcortical areas has been shown to be related to performance in L2 ...
Marinis, Theo +6 more
core +1 more source
Dynamic Generation of Investment Recommendations Using Grammatical Evolution.
International Journal of Interactive Multimedia and Artificial Intelligence, 2021 The attainment of trading rules using Grammatical Evolution traditionally follows a static approach. A single rule is obtained and then used to generate investment recommendations over time.
Carlos Martín +2 more
doaj +1 more source
Population-based de novo molecule generation, using grammatical evolution [PDF]
, 2018 Automatic design with machine learning and molecular simulations has shown a remarkable ability to generate new and promising drug candidates. Current models, however, still have problems in simulation concurrency and molecular diversity.
N. Yoshikawa +4 more
semanticscholar +1 more source