Results 61 to 70 of about 681,060 (327)

Targeted modulation of IGFL2‐AS1 reveals its translational potential in cervical adenocarcinoma

Molecular Oncology, EarlyView.
Cervical adenocarcinoma patients face worse outcomes than squamous cell carcinoma counterparts despite similar treatment. The identification of IGFL2‐AS1's differential expression provides a molecular basis for distinguishing these histotypes, paving the way for personalized therapies and improved survival in vulnerable populations globally.
Ricardo Cesar Cintra, Lucca Paolo Hsu Helmich, Daniel Rodrigues de Bastos, Laura Sichero, Patrícia Savio de Araujo‐Souza, Fabio Passetti, Luisa Lina Villa   +6 more
wiley   +1 more source

Improving Search Accuracy in Large-Scale Biased Multiobjective Optimization Through Local Search

International Journal of Computational Intelligence Systems
Biased multiobjective optimization problems pose a challenge for evolutionary algorithms in obtaining high-accuracy solutions, and as the number of decision variables increases, this challenge becomes increasingly difficult to overcome.
Feng Yin, Bin Cao
doaj   +1 more source

TDSD: A New Evolutionary Algorithm Based on Triple Distinct Search Dynamics

IEEE Access, 2020
Spherical evolution is a recently proposed nature-inspired meta-heuristic algorithm which is proven to have nontrivial efficiency and effectiveness in solving complex optimization problems.
Xiaosi Li, Zonghui Cai, Yirui Wang, Yuki Todo, Jiujun Cheng, Shangce Gao   +5 more
doaj   +1 more source

Optimizing One Million Variable NK Landscapes by Hybridizing Deterministic Recombination and Local Search [PDF]

, 2017
In gray-box optimization, the search algorithms have access to the variable interaction graph (VIG) of the optimization problem. For Mk Landscapes (and NK Landscapes) we can use the VIG to identify an improving solution in the Hamming neighborhood in ...
Darrell, Whitley, Francisco, Chicano, Gabriela, Ochoa, Renato, Tinós   +3 more
core  

Combinatorial Optimization by Iterative Partial Transcription

, 1999
A procedure is presented which considerably improves the performance of local search based heuristic algorithms for combinatorial optimization problems.
A. Möbius, B. Freisleben, D- Dresden, P. Merz, Typeset Using Revtex   +4 more
core   +2 more sources

Effectiveness of Local Search for Geometric Optimization

, 2015
What is the effectiveness of local search algorithms for geometric problems in the plane? We prove that local search with neighborhoods of magnitude 1/epsilon^c is an approximation scheme for the following problems in the Euclidean plane: TSP with random inputs, Steiner tree with random inputs, uniform facility location (with worst case inputs), and ...
Cohen-Addad, Vincent, Mathieu, Claire
openaire   +4 more sources

Local Optimization Method with Global Multidimensional Search

Journal of Global Optimization, 2005
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Adil M. Bagirov, Alexander M. Rubinov, Jiapu Zhang   +2 more
openaire   +2 more sources

Deciphering transcriptional plasticity in pancreatic ductal adenocarcinoma reveals alterations in sensory neuron innervation

Molecular Oncology, EarlyView.
Pancreatic sensory neurons innervating healthy and PDAC tissue were retrogradely labeled and profiled by single‐cell RNA sequencing. Tumor‐associated innervation showed a dominant neurofilament‐positive subtype, altered mitochondrial gene signatures, and reduced non‐peptidergic neurons.
Elena Genova, Michele Montrone, Uday Rangaswamy, Francesco Diversi, Irene Schiavo, Denise Ferrarini, Roberta Di Florio, Irene Longo, Michele Coscia, Nicola Zamboni, Giorgia Demontis, Lisa Veghini, Vincenzo Corbo, Remo Sanges, Paul Heppenstall   +14 more
wiley   +1 more source

A Self-Adaptive Heuristic Algorithm for Combinatorial Optimization Problems [PDF]

International Journal of Computational Intelligence Systems, 2014
This paper introduces a new self-tuning mechanism to the local search heuristic for solving of combinatorial optimization problems. Parameter tuning of heuristics makes them difficult to apply, as parameter tuning itself is an optimization problem.
Cigdem Alabas-Uslu, Berna Dengiz
doaj   +1 more source

A light‐triggered Time‐Resolved X‐ray Solution Scattering (TR‐XSS) workflow with application to protein conformational dynamics

FEBS Open Bio, EarlyView.
Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei, Fredrik Orädd, Konstantinos Magkakis, Magnus Andersson   +3 more
wiley   +1 more source