Results 101 to 110 of about 39,679 (279)

Optimizing Genetic Algorithm by Implementation of An Enhanced Selection Operator

JOIV: International Journal on Informatics Visualization
The Traveling Salesman Problem (TSP) represents an extensively researched challenge in combinatorial optimization. Genetic Algorithms (GAs), recognized for their nature-inspired approach, stand as potent heuristics for resolving combinatorial ...
Mohammed BinJubier, Mohd Arfian Ismail, Muhaini Othman, Shahreen Kasim, Hidra Amnur   +4 more
doaj   +1 more source

Designing Ising machines with higher order spin interactions and their application in solving combinatorial optimization. [PDF]

Sci Rep, 2023
Bashar MK, Shukla N.
europepmc   +1 more source

Next‐generation proteomics improves lung cancer risk prediction

Molecular Oncology, EarlyView.
This is one of very few studies that used prediagnostic blood samples from participants of two large population‐based cohorts. We identified, evaluated, and validated an innovative protein marker model that outperformed an established risk prediction model and criteria employed by low‐dose computed tomography in lung cancer screening trials.
Megha Bhardwaj, Clara Frick, Ben Schöttker, Bernd Holleczek, Hermann Brenner   +4 more
wiley   +1 more source

A hybrid neural combinatorial optimization framework assisted by automated algorithm design

Complex & Intelligent Systems
In recent years, the application of Neural Combinatorial Optimization (NCO) techniques in Combinatorial Optimization (CO) has emerged as a popular and promising research direction.
Liang Ma, Xingxing Hao, Wei Zhou, Qianbao He, Ruibang Zhang, Li Chen   +5 more
doaj   +1 more source

The Role of Experimental Noise in a Hybrid Classical-Molecular Computer to Solve Combinatorial Optimization Problems. [PDF]

ACS Cent Sci, 2023
Krasecki VK, Sharma A, Cavell AC, Forman C, Guo SY, Jensen ET, Smith MA, Czerwinski R, Friederich P, Hickman RJ, Gianneschi N, Aspuru-Guzik A, Cronin L, Goldsmith RH.   +13 more
europepmc   +1 more source

Exploiting metabolic adaptations to overcome dabrafenib treatment resistance in melanoma cells

Molecular Oncology, EarlyView.
We show that dabrafenib‐resistant melanoma cells undergo mitochondrial remodeling, leading to elevated respiration and ROS production balanced by stronger antioxidant defenses. This altered redox state promotes survival despite mitochondrial damage but renders resistant cells highly vulnerable to ROS‐inducing compounds such as PEITC, highlighting redox
Silvia Eller, Susanne Ebner, Carmen Haselrieder, Julia K. Günther, Astrid Drasche, Sophie Strich, Chiara Volani, Andrea Medici, Aleksandar Nikolajevic, Alex Deltedesco, Johannes E. Sigmund, Michael J. Blumer, Martin Hermann, Johanna Vanacker, Gerald Brandacher, Eduard Stefan, Omar Torres‐Quesada, Jakob Troppmair   +17 more
wiley   +1 more source

Organic Memristor-Based Flexible Neural Networks with Bio-Realistic Synaptic Plasticity for Complex Combinatorial Optimization. [PDF]

Adv Sci (Weinh), 2023
Kim H, Kim M, Lee A, Park HL, Jang J, Bae JH, Kang IM, Kim ES, Lee SH.   +8 more
europepmc   +1 more source

Predictive Maintenance Sensors Placement by Combinatorial Optimization [PDF]

, 2012
Daniela Borissova, Ivan Mustakerov, Lyubka Doukovska   +2 more
openalex   +1 more source

TREX1, a predator for treating MSI‐H tumors?

Molecular Oncology, EarlyView.
Immunotherapy benefits many patients; yet, some with MSI‐H tumors remain unresponsive despite their high immunogenicity. Xu et al. reveal that TREX1 enables immune evasion by degrading cytosolic DNA and suppressing cGAS–STING–IFN‐I signaling. TREX1 loss restores DNA sensing, increases CD8+ T and NK cell infiltration, and boosts antitumor immunity ...
Elena Benidovskaya, Joséphine Deneft, Marc Van den Eynde   +2 more
wiley   +1 more source

Initial Sample Selection in Bayesian Optimization for Combinatorial Optimization of Chemical Compounds. [PDF]

ACS Omega, 2023
Morishita T, Kaneko H.
europepmc   +1 more source