Results 81 to 90 of about 6,112,119 (319)
Multi-objective Variational Curves
AbstractRiemannian cubics in tension are critical points of the linear combination of two objective functionals, namely the squared $$L^2$$ L 2 norms of the velocity and acceleration of a curve on a Riemannian manifold.
C. Yalçin Kaya +2 more
openaire +3 more sources
Interpreting the effects of DNA polymerase variants at the structural level
Using MAVISp and molecular dynamics simulations, we analyzed over 60 000 missense variants in POLE and POLD1 from ClinVar, COSMIC, cBioPortal, and saturation mutagenesis. Identified mechanistic indicators, including stability, binding, and long‐range, enable structural interpretation, providing ACMG‐like evidence for possible reclassification of VUS ...
Matteo Arnaudi +7 more
wiley +1 more source
Multi‐objective decision‐making for road design
Multi‐objective analysis is a popular tool to solve many economic, managerial and construction problems. The objective of this research is to develop and implement a methodology for multi‐objective optimization of multi‐alternative decisions in road ...
Willem Karel M. Brauers +3 more
doaj
Radiotherapy (RT) response depends on the DNA repair capacity of tumor and host cells. We show that circulating tumor cell (CTC) counts and apoptosis rates before and after RT predict treatment response and outcome, which can be accessed via easily accessible liquid biopsy approaches. Created in BioRender. Wikman, H.
Yvonne Goy +10 more
wiley +1 more source
Discovering network community based on multi-objective optimization [PDF]
Community discovery is an important task in mining complex networks, and has important theoretical and application value in the terrorist organization identification, protein function prediction, public opinion analysis, etc.
Zhu, Xiaofeng +2 more
core +1 more source
Multi‐Objective Optimisation Framework for Heterogeneous Federated Learning
Federated learning is a distributed framework that trains a centralised model using data from multiple clients without transferring that data to a central server.
Jamshid Tursunboev +4 more
doaj +1 more source
Multi-objective cultural algorithms
Multi-objective optimization is a widely applicable technique in Engineering and Computer Science. In the past, Cultural Algorithms have been used to solve complex optimization and design problems with success. In this paper, we extend the Cultural Algorithm Framework to handle multi-objective problems.
Robert G. Reynolds, Dapeng Liu
openaire +2 more sources
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
Finding novel vulnerabilities of hypomorphic BRCA1 alleles
Synthetic lethality screens performed to identify novel vulnerabilities often model complete gene loss, thereby overlooking patient‐derived hypomorphic mutations. In this study, we have performed genome‐wide CRISPR screens on BRCA1 hypomorphic mutations, showing BRCA1I26A behaves like wild‐type, while BRCA1R1699Q mimics deficiency. Furthermore, we have
Anne Schreuder +10 more
wiley +1 more source
On the benefit of ∈-efficient solutions in multi objective space mission design [PDF]
In this work we consider multi-objective space mission design problems. We will show that it makes sense from the practical point of view to consider in addition to the (Pareto) optimal solutions also nearly optimal ones since this increases ...
Vasile, M. +2 more
core

