Results 51 to 60 of about 741,553 (274)

Clinical Course and Impact of Breaks in Therapy for Children With Relapsed/Refractory Solid Tumors

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Pediatric relapsed or refractory (R/R) solid tumors carry a dismal prognosis, and postrelapse patient experiences are not well described. We present postrelapse outcomes, including number of R/R events and subsequent therapy regimens.
Matthew T. McEvoy   +5 more
wiley   +1 more source

Two-Stage Adaptive Large Neighbourhood Search for Team Formation and Worker Assignment Problems in Cellular Manufacturing Systems

open access: yesApplied Sciences, 2022
We present a novel mathematical programming model to address a team-oriented worker assignment problem, called the team formation and worker assignment problem (TFWAP).
Thanatat Pasupa, Sadami Suzuki
doaj   +1 more source

The Efficacy and Safety of Bevacizumab/Irinotecan/Temozolomide (BIT) for Relapsed/Refractory Neuroblastoma: The UK Children's Cancer and Leukaemia Group Experience

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Patients with high‐risk neuroblastoma who either are refractory to induction chemotherapy or relapse following multi‐modal treatment have a dismal prognosis. Based on data from the BEACON trial, since 2021 the UK national guidelines recommend bevacizumab, irinotecan, and temozolomide (BIT) for patients with relapsed/refractory ...
Thomas J. Jackson   +20 more
wiley   +1 more source

Deep Hierarchical Graph Correlation: A Two-Stage Approach to Well-Log Alignment Using CNNs and Dynamic Programming

open access: yesJournal of Marine Science and Engineering
Precise depth alignment of well logs is essential for reliable subsurface characterization, enabling accurate correlation of geological features across multiple wells.
Sushil Acharya   +3 more
doaj   +1 more source

Dual-UAV Payload Transportation Using Optimized Velocity Profiles via Real-Time Dynamic Programming

open access: yesDrones, 2023
In this paper, a real-time dynamic programming (RTDP) approach was developed for the first time to jointly carry a slung load using two unmanned aerial vehicles (UAVs) with a trajectory optimized for time and energy consumption.
Abdullah Mohiuddin   +3 more
doaj   +1 more source

Maximum Downside Semi Deviation Stochastic Programming for Portfolio Optimization Problem [PDF]

open access: yes, 2010
Portfolio optimization is an important research field in financial decision making. The chief character within optimization problems is the uncertainty of future returns. Probabilistic methods are used alongside optimization techniques.
Ibrahim, Khlipah   +1 more
core   +2 more sources

Implementing Health‐Related Quality of Life Assessment in Pediatric Oncology: A Feasibility Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background There is growing interest in embedding health‐related quality of life (HRQoL) assessment and patient‐reported outcome measures (PROMs) within clinical cancer care. This study evaluated the feasibility, acceptability, and usability of implementing an electronic PROM (ePROM) platform to measure HRQoL in children with cancer ...
Mikaela Doig   +13 more
wiley   +1 more source

AN INTEGRATED APPROACH BASED ON A BI-LEVEL GENETIC ALGORITHM AND A COMBINED ZONE- LP FOR THE FACILITY LAYOUT PROBLEM

open access: yesSouth African Journal of Industrial Engineering, 2019
In this study, a new integrated approach is presented to solve the facility layout problem with unequal areas in an open field. This approach includes a two-stage method and a bi-level genetic algorithm.
Mohamadi, Arash   +3 more
doaj   +1 more source

Synthesizing and tuning chemical reaction networks with specified behaviours

open access: yes, 2015
We consider how to generate chemical reaction networks (CRNs) from functional specifications. We propose a two-stage approach that combines synthesis by satisfiability modulo theories and Markov chain Monte Carlo based optimisation.
A Biere   +24 more
core   +1 more source

A Data-Driven Stochastic Reactive Power Optimization Considering Uncertainties in Active Distribution Networks and Decomposition Method [PDF]

open access: yes, 2018
To address the uncertain output of distributed generators (DGs) for reactive power optimization in active distribution networks, the stochastic programming model is widely used.
Bie, Zhaohong   +5 more
core   +2 more sources

Home - About - Disclaimer - Privacy