Results 71 to 80 of about 161,542 (309)

Network divergence analysis identifies adaptive gene modules and two orthogonal vulnerability axes in pancreatic cancer

open access: yesMolecular Oncology, EarlyView.
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson   +9 more
wiley   +1 more source

Stress-constrained topology optimization using the constrained natural element method [PDF]

open access: yes
This paper presents a topology optimization framework to achieve volume minimization with Crossland fatigue constraints under proportional loading using the Constrained Natural Element Method.
CHEN, Yanda   +4 more
core   +1 more source

Cell‐cycle‐specific lesion evolution rather than inhibition of double‐strand‐break repair underpins cisplatin radiosensitization

open access: yesMolecular Oncology, EarlyView.
We analyze cisplatin–DNA adducts (CDAs) and double‐strand breaks (DSBs) in a cell‐cycle‐dependent manner. We find that CDAs form similarly across all cell cycle phases. DSBs arise only in S‐phase. CDAs might not directly impair DSB repair, but S‐phase DSB lesions evolve in the presence of CDAs and disrupt repair in G2, also causing radiosensitization ...
Ye Qiu   +10 more
wiley   +1 more source

Self-adaptive root growth model for constrained multi-objective optimization

open access: yes, 2013
This paper presents a general optimization model gleaned ideas from plant root growth behaviors in the soil. The purpose of the study is to investigate a novel biologically inspired methodology for complex system modelling and computation, particularly ...
Zhu YL(朱云龙)   +5 more
core   +1 more source

Topology Optimization Using the Constrained Natural Element Method [PDF]

open access: yes, 2022
This paper focuses on a new topology optimization method for structures combining the solid isotropic material with penalization method (SIMP) and the constrained natural element method (CNEM).
CHEN, Yanda   +3 more
core  

Investigation of the iCC Framework Performance for Solving Constrained LSGO Problems

open access: yesAlgorithms, 2020
Many modern real-valued optimization tasks use “black-box” (BB) models for evaluating objective functions and they are high-dimensional and constrained.
Alexey Vakhnin, Evgenii Sopov
doaj   +1 more source

Solving Constrained Mean-Variance Portfolio Optimization Problems Using Spiral Optimization Algorithm

open access: yesInternational Journal of Financial Studies, 2022
Portfolio optimization is an activity for balancing return and risk. In this paper, we used mean-variance (M-V) portfolio models with buy-in threshold and cardinality constraints.
Werry Febrianti   +2 more
doaj   +1 more source

Interpreting the effects of DNA polymerase variants at the structural level

open access: yesMolecular Oncology, EarlyView.
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

Improved Cuckoo Search (ICS) algorthm for constrained optimization problems

open access: yesLatin American Journal of Solids and Structures
Constrained optimization is very important issue in engineering design. The problem of constrained optimization contains the objective function with linear and nonlinear constraint equations.
Radovan R. Bulatović   +3 more
doaj   +1 more source

A Multi-Strategy Seeker Optimization Algorithm for Optimization Constrained Engineering Problems

open access: yesIEEE Access, 2022
This paper proposes a multi-strategy seeker optimization algorithm (MSSOA) for optimization constrained engineering problems. In this paper, three strategies were adopted to improve the poor searching capability of the seeker optimization algorithm (SOA).
Shaomi Duan, Huilong Luo, Haipeng Liu
doaj   +1 more source

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