Results 81 to 90 of about 192,884 (311)
Molecular 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
Evolutionary testing in component-based real-time system construction
, 2022 S.1393Execution time analysis is an essential verification activity during real-time system development. This activity can be performed dynamically through optimization-based analysis techniques such as evolutionary testing, and it is already ...
Groß, H.-G., Mayer, N.
core +1 more source
Comparison of Evolutionary Techniques for Value-at-Risk Calculation
, 2007 The Value-at-Risk (VaR)approach has been used for measuring and controlling the market risks in financial institutions. Studies show that the t-distribution is more suited to representing the financial asset returns in VaR calculations than the commonly used normal distribution.
Gonul Uludag +3 more
openaire +2 more sources
Comparative study on the application of evolutionary optimization techniques to orbit transfer maneuvers [PDF]
, 2008 Orbit transfer maneuvers are here considered as benchmark cases for comparing performance of different optimization techniques in the framework of direct methods. Two different classes of evolutionary algorithms, a conventional genetic algorithm and an
Avanzini, Giulio +3 more
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Molecular 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
Evolutionary Computation and Its Applications in Neural and Fuzzy Systems
Applied 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
Electricity Peak Load Forecasting using CGP based Neuro Evolutionary Techniques
International 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
Exploring Evolutionary Economic Geographies [PDF]
Evolutionary approaches in economics have gathered increasing support over the last 25 years. Despite an impressive body of literature, economists are still far from formulating a coherent research paradigm.
David L. Rigby, Jürgen Essletzbichler
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Synthesis of a compact wind profile using evolutionary algorithms for wind turbine system with storage [PDF]
, 2012 In this paper, the authors investigate two methodologies for synthesizing compact wind speed profiles by means of evolutionary algorithms. Such profile can be considered as input parameter in a prospective design process by optimization of a passive wind
Jamel Belhadj +9 more
core +1 more source
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
wiley +1 more source