Results 111 to 120 of about 321,863 (350)
Molecular Oncology, EarlyView.B‐cell chronic lymphocytic leukemia (B‐CLL) and monoclonal B‐cell lymphocytosis (MBL) show altered proteomes and phosphoproteomes, analyzed using mass spectrometry, protein microarrays, and western blotting. Identifying 2970 proteins and 316 phosphoproteins, including 55 novel phosphopeptides, we reveal BCR and NF‐kβ/STAT3 signaling in disease ...
Paula Díez +17 more
wiley +1 more source
Synthesis of Artificial Magnetic Conductors Using Structure-Based Evolutionary Design
International Journal of Antennas and Propagation, 2013 An evolutionary programming approach, the so-called structure based evolutionary design, is applied to the synthesis of planar periodic electronic band gap in order to obtain an artificial magnetic conductor surface.
Luisa Deias +3 more
doaj +1 more source
Creativity and Artificial Intelligence: A Digital Art Perspective [PDF]
arXiv, 2018 This paper describes the application of artificial intelligence to the creation of digital art. AI is a computational paradigm that codifies intelligence into machines. There are generally three types of artificial intelligence and these are machine learning, evolutionary programming and soft computing.
arxiv
Molecular Oncology, EarlyView.Breast cancer metastasis is associated with myeloid cell dysregulation and the lung‐specific accumulation of tumor‐supportive Gr1+ cells. Gr1+ cells support metastasis, in part, through a CHI3L1‐mediated mechanism, which can be targeted and inhibited with cargo‐free, polymeric nanoparticles.
Jeffrey A. Ma +9 more
wiley +1 more source
Computational Complexity Analysis of Simple Genetic Programming On Two Problems Modeling Isolated Program Semantics [PDF]
arXiv, 2010 Analyzing the computational complexity of evolutionary algorithms for binary search spaces has significantly increased their theoretical understanding. With this paper, we start the computational complexity analysis of genetic programming. We set up several simplified genetic programming algorithms and analyze them on two separable model problems ...
arxiv
An efficient memetic, permutation-based evolutionary algorithm for real-world train timetabling [PDF]
, 2005 Train timetabling is a difficult and very tightly constrained combinatorial problem that deals with the construction of train schedules. We focus on the particular problem of local reconstruction of the schedule following a small perturbation, seeking ...
Schoenauer, Marc, Semet, Yann
core +2 more sources
FEBS Open Bio, EarlyView.The tumor microenvironment is a dynamic, multifaceted complex system of interdependent cellular, biochemical, and biophysical components. Three‐dimensional in vitro models of the tumor microenvironment enable a better understanding of these interactions and their impact on cancer progression and therapeutic resistance.
Salma T. Rafik +3 more
wiley +1 more source
EC-KitY: Evolutionary computation tool kit in Python with seamless machine learning integration
SoftwareX, 2023 EC-KitY is a comprehensive Python library for doing evolutionary computation (EC), licensed under the BSD 3-Clause License, and compatible with scikit-learn.
Moshe Sipper +3 more
doaj
Linear Programming by Solving Systems of Differential Equations Using Game Theory [PDF]
In this paper we will solve some linear programming problems by solving systems of differential equations using game theory. The linear programming problem must be a classical constraints problem or a classical menu problem, i.e.
Ciuiu, Daniel
core +1 more source
FEBS Open Bio, EarlyView.Liver‐specific knockout of N6‐methyladenosine (m6A) methyltransferase METTL3 significantly accelerated hepatic tumor initiation under various oncogenic challenges, contrary to the previously reported oncogenic role of METTL3 in liver cancer cell lines or xenograft models. Mechanistically, METTL3 deficiency reduced m6A deposition on Manf transcripts and
Bo Cui +15 more
wiley +1 more source