Results 61 to 70 of about 277,827 (338)
Hybrid Defect Prediction Model Based on Counterfactual Feature Optimization
Software defect prediction is critical to ensuring software quality. Researchers have worked on building various defect prediction models to improve the performance of defect prediction.
Wei Zheng +5 more
doaj +1 more source
DEFECT PHENOMENA IN SUPERCONDUCTING OXIDES AND ANALOGOUS CERAMIC OXIDES [PDF]
In this review we discuss defect phenomena in superconducting oxides. We survey those aspects of oxide superconductors which relate them most closely to conventional ceramic oxides, concentrating on processes and behaviour related to defects.
SMITH, LW, STONEHAM, AM
core +1 more source
Diversity and complexity in neural organoids
Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley +1 more source
A Survey on Transfer Learning for Cross-Project Defect Prediction
Software defect prediction involves predicting which components in a software program, like classes or functions, are likely to have defects, based on metrics that describe those components.
Bruno Sotto-Mayor, Meir Kalech
doaj +1 more source
Grand Unification in Higher Dimensions [PDF]
We have recently proposed an alternative picture for the physics at the scale of gauge coupling unification, where the unified symmetry is realized in higher dimensions but is broken locally by a symmetry breaking defect.
Ahmed +57 more
core +2 more sources
Exploiting metabolic adaptations to overcome dabrafenib treatment resistance in melanoma cells
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 +17 more
wiley +1 more source
Machine Learning Empowered Software Prediction System
Prediction of software defects is one of the most active study fields in software engineering today. Using a defect prediction model, a list of code prone to defects may be compiled. Using a defect prediction model, software may be made more reliable by
Abdul Syukor Mohamad
doaj +1 more source
Pharmacologic ascorbate (vitamin C) increases ROS, disrupts cellular metabolism, and induces DNA damage in CRPC cells. These effects sensitize tumors to PARP inhibition, producing synergistic growth suppression with olaparib in vitro and significantly delayed tumor progression in vivo. Pyruvate rescue confirms ROS‐dependent activity.
Nicolas Gordon +13 more
wiley +1 more source
Software defect prediction is an active research area. Researchers have proposed many approaches to overcome the imbalanced defect problem and build highly effective machine learning models that are not biased towards the majority class.
Amani Alqarni, Hamoud Aljamaan
doaj +1 more source
Inhomogeneous Magnetoelectric Effect on Defect in Multiferroic Material: Symmetry Prediction
Inhomogeneous magnetoelectric effect in magnetization distribution heterogeneities (0-degree domain walls) appeared on crystal lattice defect of the multiferroic material has been investigated.
B Tanygin +16 more
core +1 more source

