Results 51 to 60 of about 3,657,954 (286)
ASSESSING SOFTWARE RELIABILITY USING GENETIC ALGORITHMS
The Journal of Engineering Research, 2019 The role of software reliability and quality improvement is becoming more important than any other issues related to software development. To date, we have various techniques that give a prediction of software reliability like neural networks, fuzzy ...
Rachna Jain, Arun Sharma
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Molecular Oncology, EarlyView.The novel styrylquinazolinone‐based molecule W1B effectively suppresses glioblastoma by inhibiting IGF1R and EGFR. In high‐glucose microenvironments driving tumor resistance, W1B acts synergistically with the EGFR inhibitor dacomitinib. This combination safely blocks compensatory survival signaling in zebrafish xenograft models. Showcasing promising in
Patryk Rurka +9 more
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Local Crossover: A New Genetic Operator for Grammatical Evolution
AlgorithmsThe presented work outlines a new genetic crossover operator, which can be used to solve problems by the Grammatical Evolution technique. This new operator intensively applies the one-point crossover procedure to randomly selected chromosomes with the ...
Ioannis G. Tsoulos +2 more
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Qualified Genetic Algorithms for Images Smoothing [PDF]
المجلة العراقية للعلوم الاحصائية, 2008 Four types of algorithms are suggested in this paper to smooth images; three of them work in the special domain and the fourth works in the frequency domain.
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Molecular Oncology, EarlyView.Single‐cell multi‐omics reveals epigenetic heterogeneity across therapy‐adaptive tumor states, including quiescent/dormant, drug‐tolerant persister, and EMT‐like phenotypes. By linking regulatory features with state‐associated biomarkers, these approaches inform biomarker‐guided therapeutic strategies for evolving tumors.
Hee Jung Kim +3 more
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IEEE AccessThis study investigates the application of a Genetic Algorithm (GA) for optimizing scheduling in automated cube storage warehouses, focusing on enhancing logistics processing speed.
Won Yong Ha
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Quantum Genetic Algorithms for Computer Scientists
Computers, 2016 Genetic algorithms (GAs) are a class of evolutionary algorithms inspired by Darwinian natural selection. They are popular heuristic optimisation methods based on simulated genetic mechanisms, i.e., mutation, crossover, etc.
Rafael Lahoz-Beltra
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Genetic Algorithm for Synchronization
, 2009 We present a novel approach to the synchronization problem. It is a well-known fact that a problem of finding minimal (or: the shortest) synchronizing word (MSW) for a given synchronizing automaton is NP-complete. In this paper we present the genetic algorithm which tries, for a given automaton, to find possibly short word that synchronizes it.
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Molecular Oncology, EarlyView.Breast cancer remains a major cause of cancer death in women, frequently developing endocrine therapy resistance. This study demonstrates that upregulated p21‐activated kinase 1 (PAK1) activity drives resistance to tamoxifen and long‐term estrogen deprivation in ER+ breast cancer models.
Luisa Schwarzmüller +10 more
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Molecular Oncology, EarlyView.Matched spatial transcriptomics and single‐nuclei RNA‐seq were generated for anaplastic and BRAFV600E papillary thyroid cancers revealing generic and tumor‐specific states occurring in cancer cells and in the tumor microenvironment. In this context, cancer dedifferentiation mirrored organoid maturation through ordered thyroid marker gain/loss ...
Adrien Tourneur +11 more
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