Results 71 to 80 of about 440,308 (260)

Clinical performance of the urine‐based TERT promoter AbsoluteQ Digital PCR for non‐invasive detection of bladder cancer

open access: yesMolecular Oncology, EarlyView.
A urine‐based digital PCR assay targeting two hotspot TERT promoter variants detected bladder cancer with high sensitivity and no false positives in this case–control cohort. The streamlined AbsoluteQ workflow outperformed Sanger sequencing and supports non‐invasive molecular testing for bladder cancer detection.
Anna Nykel   +12 more
wiley   +1 more source

A Column-Generation-Based Exact Algorithm to Solve the Full-Truckload Vehicle-Routing Problem

open access: yesMathematics
This study addresses a specialized variant of the full-truckload delivery problem inspired by a Turkish logistics firm that operates in the liquid transportation sector.
Toygar Emre, Rizvan Erol
doaj   +1 more source

A hybrid column generation algorithm based on metaheuristic optimization

open access: yesTransport, 2016
The exact solution and heuristic solution have their own strengths and weaknesses on solving the Vehicle Routing Problems with Time Windows (VRPTW).
Wenbin Hu   +5 more
doaj   +1 more source

A novel quinazolinone insulin receptor inhibitor and its synergy with an EGFR inhibitor in glucose‐driven glioblastoma

open access: yesMolecular Oncology, EarlyView.
The novel styrylquinazolinone‐based molecule W1B effectively suppresses glioblastoma by inhibiting IGF1R and EGFR. In high‐glucose microenvironments driving tumor resistance, W1B acts synergistically with the EGFR inhibitor dacomitinib. This combination safely blocks compensatory survival signaling in zebrafish xenograft models. Showcasing promising in
Patryk Rurka   +9 more
wiley   +1 more source

Combinatorial Robust Optimization with Decision-Dependent Information Discovery and Polyhedral Uncertainty

open access: yesOpen Journal of Mathematical Optimization
Given a nominal combinatorial optimization problem, we consider a robust two-stages variant with polyhedral cost uncertainty, called Decision-Dependent Information Discovery (DDID). In the first stage, DDID selects a subset of uncertain cost coefficients
Omer, Jérémy   +2 more
doaj   +1 more source

The Column Generation Technique for Public Transport Line Planning by IP-Solver

open access: yesCommunications, 2010
The paper deals with an application of the column generation method to the public transport line planning making use of a common optimization environment.
Jaroslav Janacek, Jan Sirc
doaj   +1 more source

Column Generation

open access: yes
Abstract This chapter describes the classical column generation algorithm used to solve a linear program with a huge number of variables. Besides its main properties, we offer several practical hints to be included in any worthwhile implementation and present a few classical examples of its application.
Jacques Desrosiers   +3 more
openaire   +1 more source

Tumor B‐cell infiltration in platinum‐treated advanced muscle‐invasive urothelial carcinoma

open access: yesMolecular Oncology, EarlyView.
Bladder tumors with higher pretreatment memory B‐cell infiltration were linked to longer survival after cisplatin chemotherapy, but not carboplatin. These tumors also showed more organized immune structures (tertiary lymphoid structures) and a shared pro‐inflammatory B‐cell‐rich community, suggesting that memory B cells may help identify patients most ...
Konrad Stawiski   +10 more
wiley   +1 more source

Dynamic Generation of Cutting Patterns in Sawmills for Sustainable Planning

open access: yesMathematics
This study proposes two optimization models and a column-generation algorithm, applied at the root node, to support tactical planning in sawmills by dynamically generating log cutting patterns aligned with sustainability and efficiency objectives ...
Jorge Félix Mena-Reyes   +3 more
doaj   +1 more source

Speeding up column generation for robust wireless network planning

open access: yesEURO Journal on Computational Optimization, 2013
The wireless network planning problem consists of base station placement and traffic node assignment to base stations. To incorporate traffic demand uncertainties, we follow the Γ-robustness approach by Bertsimas and Sim.
Grit Claßen   +2 more
doaj   +1 more source

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