Results 51 to 60 of about 99,030 (308)
RELIABILITY OF A STRUCTURE USING CHANCE CONSTRAINED PROGRAMMING
In the evaluation of a structural reliability, it is important to seek the probability distribution of the structure, but in many cases, it is difficult to determine it for complex structures. In this paper the limit analysis of a structure with probabilistic natures is rewritten to a stochastic mathematical programming problem (i.e. chance-constrained
GEN, MASAHIRO +2 more
openaire +3 more sources
An Analytical Safe Approximation to Joint Chance-Constrained Programming With Additive Gaussian Noises [PDF]
We propose a safe approximation to joint chance-constrained programming, where the constraint functions are additively dependent on a normally-distributed random vector.
Nan I. Li, I. Kolmanovsky, A. Girard
semanticscholar +1 more source
Design and analysis strategies for robust microbiome ageing research
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
Multi-objective Stochastic Programming to Optimize Number Determination of Manpower Problem in Job Shop Manufacturing Systems [PDF]
One of the most popular approaches to solve multi-objective stochastic problems is Chance Constrained Programming (CCP). Based on this approach, a deterministic equivalent model is presented for multi-objective stochastic problem and then is optimized by
Mostafa Ekhtiari
doaj
A Dynamic Economic Dispatch Model Incorporating Wind Power Based on Chance Constrained Programming
In order to maintain the stability and security of the power system, the uncertainty and intermittency of wind power must be taken into account in economic dispatch (ED) problems.
Wushan Cheng, Haifeng Zhang
doaj +1 more source
Dormant cancer cells can hide in distant organs for years, evading treatment and the immune system. This review highlights how signals from the surrounding tissue and immune environment keep these cells inactive or trigger their reawakening. Understanding these mechanisms may help develop therapies to eliminate or control dormant cells and prevent ...
Kanishka Tiwary +1 more
wiley +1 more source
Tumor B‐cell infiltration in platinum‐treated advanced muscle‐invasive urothelial carcinoma
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
Modeling Multi-Objective, Multi-Product and Multi-Period Supplier Selection Problem Considering Stochastic Demand [PDF]
In this paper, a multi-objective, multi-period and multi-product mixed integer programming model for the supplier selection and quota allocation problem under an all-unit quantity discount policy, constrained storage space and stochastic demand is ...
Mehdi Seifbarghy, Foruzan Naseri
doaj +1 more source
This review summarizes the transcription factors, repressive chromatin‐modifying complexes, and epigenetic mechanisms that control fetal hemoglobin repression. Notably, many regulators of γ‐globin silencing also function in transcriptional and epigenetic networks that drive cancer, highlighting opportunities to translate advances in hemoglobinopathy ...
Meigen Yu +3 more
wiley +1 more source
Spatial biology in cancer epigenetics
Spatial epigenomics combines molecular profiling with tissue architecture to reveal how gene regulation is organized within intact tissues. In cancer, these technologies uncover the mechanisms driving tumor heterogeneity and microenvironmental interactions, opening new opportunities for biomarker discovery and precision medicine.
Eva Crespo‐García, Manel Esteller
wiley +1 more source

