Results 71 to 80 of about 450,572 (276)
Molecular Oncology, EarlyView.A mouse model for vascular normalization and a human breast cancer cohort were studied to understand the relationship between vascular leakage and tumor immune suppression. For this, endothelial and immune cell RNAseq, staining for vascular function, and immune cell profiling were employed.
Liqun He +8 more
wiley +1 more source
Adaptive Large Neighborhood Search on the Graphics Processing Unit
European Journal of Operational Research, 2019 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lukas Bach, Geir Hasle, Christian Schulz
openaire +3 more sources
Molecular Oncology, EarlyView.Clinical trials on PARP inhibitors in urothelial carcinoma (UC) showed limited efficacy and a lack of predictive biomarkers. We propose SLFN5, SLFN11, and OAS1 as UC‐specific response predictors. We suggest Talazoparib as the better PARP inhibitor for UC than Olaparib.
Jutta Schmitz +15 more
wiley +1 more source
AlgorithmsThis study focuses on the integrated scheduling issues of imaging and data transmission for Earth observation satellites, where each target needs to be imaged and transmitted within a feasible time window.
Guanfei Yu, Kunlun Zhang
doaj +1 more source
Jurnal Manajemen Industri dan Logistik, 2020 Two-echelon location routing problem (2E-LRP) is a problem that considers distribution problem in a two-level / echelon transport system. The first echelon considers trips from a main depot to a set of selected satellite.
Winarno (Universitas Singaperbangsa Karawang) +1 more
doaj +1 more source
Comparison of heuristic approaches for the multiple depot vehicle scheduling problem [PDF]
, 2006 Given a set of timetabled tasks, the multi-depot vehicle scheduling problem is a well-known problem that consists of determining least-cost schedules for vehicles assigned to several depots such that each task is accomplished exactly once by a vehicle ...
Desaulniers, G. (Guy) +3 more
core
A variable neighborhood search simheuristic for project portfolio selection under uncertainty [PDF]
, 2018 With limited nancial resources, decision-makers in rms and governments face the task of selecting the best portfolio of projects to invest in. As the pool of project proposals increases and more realistic constraints are considered, the problem becomes
Döering, Jana +4 more
core +1 more source
Learning Large Neighborhood Search Policy for Integer Programming
, 2021 We propose a deep reinforcement learning (RL) method to learn large neighborhood search (LNS) policy for integer programming (IP). The RL policy is trained as the destroy operator to select a subset of variables at each step, which is reoptimized by an IP solver as the repair operator.
WU, Yaoxin +3 more
openaire +3 more sources
Molecular Oncology, EarlyView.Development of therapies targeting cancer‐associated fibroblasts (CAFs) necessitates preclinical model systems that faithfully represent CAF–tumor biology. We established an in vitro coculture system of patient‐derived pancreatic CAFs and tumor cell lines and demonstrated its recapitulation of primary CAF–tumor biology with single‐cell transcriptomics ...
Elysia Saputra +10 more
wiley +1 more source
Large neighborhood search for route and fleet optimization in frozen food distribution
OPSIThis study develops an optimization model to enhance the distribution efficiency of a frozen food distributor. The company faces operational inefficiencies due to excessive fleet capacity and conventional route assignment methods, which increase travel ...
Jonathan Andrepa Simbolon +6 more
doaj +1 more source