Results 71 to 80 of about 6,029,102 (240)

Stimulator of interferon genes agonist augmented antitumor immunity of osimertinib in Egfr‐mutated lung cancer

open access: yesMolecular Oncology, EarlyView.
Combining osimertinib with the STING agonist ADU‐S100 activates innate and adaptive immunity to overcome the non‐inflamed microenvironment of Egfr‐mutant lung cancer. This combination increases NK and CD8+ T‐cell infiltration, associated with activation of the STING‐IRF3 pathway and local immunogenic cell death.
Jun Nishimura   +19 more
wiley   +1 more source

USP29‐regulated noncanonical stabilization of the hypoxia‐inducible factor‐α in aggressive prostate cancer

open access: yesMolecular Oncology, EarlyView.
We identify USP29 as the only DUB mirroring CA9 expression, a marker of hypoxia and HIF pathway activation associated with PCA aggressiveness. USP29 stabilizes HIF‐1α and HIF‐2α via a noncanonical mechanism that is independent of PHD/pVHL activity yet relies on proteasomal regulation, establishing USP29 as a previously unrecognized regulator of hypoxic
Amelie S Schober   +16 more
wiley   +1 more source

An evolutionary system for design exploration

open access: yes, 2009
This paper reports on the development of a multi-objective evolutionary developmental design environment, called EDDE. The goal of the system is to make it easier for designers to use evolutionary techniques to explore design possibilities.
P. Janssen, Janssen, P.H.T.
core  

Prospects for computational steering of evolutionary computation [PDF]

open access: yes, 2002
Currently, evolutionary computation (EC) typically takes place in batch mode: algorithms are run autonomously, with the user providing little or no intervention or guidance. Although it is rarely possible to specify in advance, on the basis of EC theory,
Thompson, M.   +3 more
core  

Investigation on Evolutionary Computation Techniques of a Nonlinear System

open access: yesModelling and Simulation in Engineering, 2011
The main aim of this work is to show that such a powerful optimizing tool like evolutionary algorithms (EAs) can be in reality used for the simulation and optimization of a nonlinear system.
Tran Trong Dao
doaj   +1 more source

New Molecular Genetic Techniques for the Inference of Evolutionary Relationships

open access: yesActa Biologica Slovenica, 1991
Molecular genetic techniques have advanced greatly in the last few years, and provided powerful tools for phylogenetic research. The two most important methods for characterising nucleic acids are restriction-enzyme fragment analysis, and nucleotide ...
Adam Marchant
doaj   +1 more source

PANoptosis in the pathogenesis of myelodysplastic syndromes

open access: yesMolecular Oncology, EarlyView.
PANoptosis, a combination of three types of programmed cell death, is mediated by a large protein complex called a PANoptosome. In healthy bone marrow hematopoietic cells, PANoptosis is restricted by inhibitory signaling. In MDS, bone marrow cells become sensitive to the PANoptotic stimuli due to the aberrant inactivation of inhibitory signaling or ...
Rohit Thalla   +4 more
wiley   +1 more source

Electricity Peak Load Forecasting using CGP based Neuro Evolutionary Techniques

open access: yesInternational Journal of Computational Intelligence Systems, 2016
Proficient Economic and Financial planning is critical to the successful and efficient operation of power generating and distributing units. This planning becomes quite facile if the accurate and precise knowledge regarding the required power load is ...
Gul Muhammad Khan, Rabia Arshad
doaj   +1 more source

Intrapatient tumour heterogeneity and clonal evolution in an autopsy study of metastatic salivary gland cancer

open access: yesMolecular Oncology, EarlyView.
Tumour heterogeneity and clonal evolution of metastatic salivary gland cancer were evaluated in two patients with adenoid carcinoma and one patient with myoepithelial carcinoma. Radiology‐guided autopsy enabled multi‐region sampling (total samples n = 149), followed by whole‐genome sequencing and phylogenetic reconstruction (17 tumour samples, 4–7 per ...
Gerben Lassche   +10 more
wiley   +1 more source

Evolutionary Computation and Its Applications in Neural and Fuzzy Systems

open access: yesApplied Computational Intelligence and Soft Computing, 2011
Neural networks and fuzzy systems are two soft-computing paradigms for system modelling. Adapting a neural or fuzzy system requires to solve two optimization problems: structural optimization and parametric optimization.
Biaobiao Zhang   +3 more
doaj   +1 more source

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