Results 41 to 50 of about 12,494 (260)

A Robust Stochastic Programming Approach for Blood Collection and Distribution Network Design [PDF]

International Journal of Research in Industrial Engineering, 2014
Blood supply chain network design isanessentialpart of the total blood management systems.In this paper, a mixed integer non-linear programming (MINLP) model for the concerned problem is developed.
B. Zahiri, M. Mousazadeh, A. Bozorgi-Amiri   +2 more
doaj   +2 more sources

A Two-Phase Pattern Generation and Production Planning Procedure for the Stochastic Skiving Process

Applied Computational Intelligence and Soft Computing, 2023
The stochastic skiving stock problem (SSP), a relatively new combinatorial optimization problem, is considered in this paper. The conventional SSP seeks to determine the optimum structure that skives small pieces of different sizes side by side to form ...
Tolga Kudret Karaca, Funda Samanlioglu, Ayca Altay   +2 more
doaj   +1 more source

Cancer cell‐intrinsic type 1 interferon: production, signaling, and outcomes within sex‐biased, female malignancies

Molecular Oncology, EarlyView.
The cell‐autonomous roles of interferon type 1 vary based on duration and intensity. While acute, robust signaling results in cancer cell cytotoxic effects, sustained, low‐level signaling is associated with tumor‐promoting effects. This review summarizes current research of IFN‐1 in cancer and within the clinical setting, with an emphasis on female ...
Ashlyn Conant, Nora Badiner, Sharon Asariah, Kiera McGivney, Vishwa Shah, Tise Suzuki, Yevgeniya J. Ioffe, Juli J. Unternaehrer   +7 more
wiley   +1 more source

Distributionally robust multi-stage stochastic programming for mid- and long-term cross-regional power markets

International Journal of Electrical Power & Energy Systems
The widespread integration of renewable energy sources (RESs) has presented significant challenges in deregulated power markets. The inherent uncertainty of RES poses challenges for clearing cross-temporal and cross-regional transactions, manifesting as ...
Yuhan Huang, Tao Ding, Xiaosheng Zhang, Shuhai Feng, Yiding Jin, Yangsheng Sun, Tong Xing   +6 more
doaj   +1 more source

Robust two-stage stochastic linear programs with moment constraints [PDF]

Optimization, 2014
We consider the two-stage stochastic linear programming model, in which the recourse function is a worst case expected value over a set of probabilistic distributions. These distributions share the same first- and second-order moments. By using duality of semi-infinite programming and assuming knowledge on extreme points of the dual polyhedron of the ...
GAO, Sarah Yini, KONG, Lingchen, SUN, Jie   +2 more
openaire   +2 more sources

Mutant NPM1 in Acute Myeloid Leukemia Initiation and Maintenance

Aging and Cancer, EarlyView.
NPM1 mutations drive acute myeloid leukemia by acting as neomorphic transcriptional regulators that cooperate with Menin–MLL and XPO1 to sustain HOX/MEIS1 expression and block differentiation. Targeting these mutant‐specific transcriptional dependencies provides a rational therapeutic strategy for NPM1‐mutated AML.
Yanan Jiang, Zhong Fan, Runmeng Liu, Xiaotian Zhang   +3 more
wiley   +1 more source

Stochastic Optimal Control for Uncertain Structural Systems Under Random Excitations Based on Bayes Optimal Estimation

Buildings
Stochastic vibration control of uncertain structures under random loading is an important problem and its minimax optimal control strategy remains to be developed.
Hua Lei, Zhao-Zhong Ying, Zu-Guang Ying
doaj   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Regression based scenario generation: Applications for performance management

Operations Research Perspectives, 2019
Regression analysis is a common tool in performance management and measurement in industry. Many firms wish to optimise their performance using Stochastic Programming but to the best of our knowledge there exists no scenario generation method for ...
Sovan Mitra, Sungmook Lim, Andreas Karathanasopoulos   +2 more
doaj   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source