Results 61 to 70 of about 1,503,716 (266)

Distributed Computational Framework for Large-Scale Stochastic Convex Optimization

Energies, 2020
This paper presents a distributed computational framework for stochastic convex optimization problems using the so-called scenario approach. Such a problem arises, for example, in a large-scale network of interconnected linear systems with local and ...
Vahab Rostampour, Tamás Keviczky
doaj   +1 more source

Computer program for parameter optimization [PDF]

, 1968
Flexible, large scale digital computer program was designed for the solution of a wide range of multivariable parameter optimization problems.
Glatt, C. R., Hague, D. S.
core   +1 more source

Self-optimization in Large Scale Assembly

Procedia Engineering, 2013
Proceedings of the 5th Manufacturing Engineering Society International Conference : Zaragoza 26-28 June 2013 / Martín, Juan José Aguilar and Fabra, José Antonio Yagüe and Domingo, Miguel Ángel Lope and Mazo, Jorge Santolaria and García, José Antonio Albajez 5th Manufacturing Engineering Society International Conference, MESIC 2013, Zaragoza, Spain, 26 ...
Schmitt, Robert H., Jatzkowski, Philipp, Janßen, Markus, Bertelsmeier, Felix   +3 more
openaire   +2 more sources

Characterizing the salivary RNA landscape to identify potential diagnostic, prognostic, and follow‐up biomarkers for breast cancer

Molecular Oncology, EarlyView.
This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan, Irina Primac, Emre Etlioglu, Laurens Debruyne, Ann Janssen, Magy Sallam, Kevin Tabury, Roel Quintens, Wiebren Tjalma, Mohammed Abderrafi Benotmane   +9 more
wiley   +1 more source

A genetic algorithm with two-step rank-based encoding for closed-loop supply chain network design

Mathematical Biosciences and Engineering, 2022
The closed-loop supply chain (CLSC) plays an important role in sustainable development and can help to increase the economic benefits of enterprises. The optimization for the CLSC network is a complicated problem, since it often has a large problem scale
Bowen Ding, Zhaobin Ma, Shuoyan Ren, Yi Gu, Pengjiang Qian, Xin Zhang   +5 more
doaj   +1 more source

Integrated genomic and proteomic profiling reveals insights into chemoradiation resistance in cervical cancer

Molecular Oncology, EarlyView.
A comprehensive genomic and proteomic analysis of cervical cancer revealed STK11 and STX3 as a potential biomarkers of chemoradiation resistance. Our study demonstrated EGFR as a therapeutic target, paving the way for precision strategies to overcome treatment failure and the DNA repair pathway as a critical mechanism of resistance.
Janani Sambath, Irene A. George, Srikanth S. Manda, Prasanth Ariyannur, Ekta R. Dhawale, Raja Sekhar Kommu, Rajan Datar, Darshana Patil, Vinita Trivedi, Manisha Singh, Kumar Prabhash, Sewanti Limaye, Richa Chauhan, Prashant Kumar   +13 more
wiley   +1 more source

Constraint adjustment and computational resource allocation strategies for decomposition-based large-scale optimization of ship cabin structures

Zhongguo Jianchuan Yanjiu
ObjectiveTo enhance the application effectiveness of the decomposition-based optimization method in the large-scale optimization design of ship cabin structures, a constraint progressive relaxation adjustment strategy and a computational resource ...
Qiangjun LUO, Jun LIU, Puyu JIANG, Yuansheng CHENG   +3 more
doaj   +1 more source

YAP1::TFE3 mediates endothelial‐to‐mesenchymal plasticity in epithelioid hemangioendothelioma

Molecular Oncology, EarlyView.
The YAP1::TFE3 fusion protein drives endothelial‐to‐mesenchymal transition (EndMT) plasticity, resulting in the loss of endothelial characteristics and gain of mesenchymal‐like properties, including resistance to anoikis, increased migratory capacity, and loss of contact growth inhibition in endothelial cells.
Ant Murphy, Samuel Hartzler, Paula A. Vargas Carranza, Shyaman Jayasundara, Madison E. Yates, Nimod D. Janson, Bozhi Liu, Annaleigh Benton, Majid Kazemian, Jason A. Hanna   +9 more
wiley   +1 more source

CLMOAS: collaborative large-scale multi-objective optimization algorithms with adaptive strategies

Frontiers in Computer Science
In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of decision variables.
Peng Wang, Yanxiu Fu, Huiping Yuan, Zhongyang Xiao, Chi Huang, Zhao Yang, Yijing Zhang, Fenglin Zhou   +7 more
doaj   +1 more source

Modeling hepatic fibrosis in TP53 knockout iPSC‐derived human liver organoids

Molecular Oncology, EarlyView.
This study developed iPSC‐derived human liver organoids with TP53 gene knockout to model human liver fibrosis. These organoids showed elevated myofibroblast activation, early disease markers, and advanced fibrotic hallmarks. The use of profibrotic differentiation medium further amplified the fibrotic signature seen in the organoids.
Mustafa Karabicici, Soheil Akbari, Ceyda Caliskan, Canan Celiker, Ozden Oz, Leman Binokay, Gökhan Karakulah, Serif Senturk, Esra Erdal   +8 more
wiley   +1 more source