Results 111 to 120 of about 381,564 (342)

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

Enhancing Dynamic Production Scheduling And Resource Allocation Through Adaptive Control Systems With Deep Reinforcement Learning

Proceedings of the Conference on Production Systems and Logistics
Traditional production scheduling and resource allocation methods often struggle to adapt to changing conditions in manufacturing environments.
Aderoba, Olugbenga, Mpofu, Khumbulani, Adenuga, Olukorede, Bibili Nzengue, Alliance   +3 more
doaj   +1 more source

Optimization model for production scheduling taking into account preventive maintenance in an uncertainty-based production system. [PDF]

Heliyon, 2023
Penchev P, Vitliemov P, Georgiev I.
europepmc   +1 more source

PYCR1 inhibition in bone marrow stromal cells enhances bortezomib sensitivity in multiple myeloma cells by altering their metabolism

Molecular Oncology, EarlyView.
This study investigated how PYCR1 inhibition in bone marrow stromal cells (BMSCs) indirectly affects multiple myeloma (MM) cell metabolism and viability. Culturing MM cells in conditioned medium from PYCR1‐silenced BMSCs impaired oxidative phosphorylation and increased sensitivity to bortezomib.
Inge Oudaert, Lauren van den Broecke, Osman Aksoy, Judith Lind, Sonia Vallet, Arne Van der Vreken, Gamze Ates, Ann Massie, Ken Maes, Kim De Veirman, Elke De Bruyne, Karin Vanderkerken, Klaus Podar, Eline Menu   +13 more
wiley   +1 more source

Modeling and optimization of bakery production scheduling to minimize makespan and oven idle time. [PDF]

Sci Rep, 2023
Babor M, Paquet-Durand O, Kohlus R, Hitzmann B.   +3 more
europepmc   +1 more source

Exact methods for tardiness objectives in production scheduling

, 2022
Ioannis Avgerinos, Ioannis Mourtos, Stavros Vatikiotis, Georgios Zois   +3 more
openalex   +1 more source

An improved adaptive neural network for job-shop scheduling [PDF]

This article is posted here with permission of IEEE - Copyright @ 2005 IEEEJob-shop scheduling is one of the most difficult production scheduling problems in industry.
Yang, S
core   +3 more sources

Inhibition of CDK9 enhances AML cell death induced by combined venetoclax and azacitidine

Molecular Oncology, EarlyView.
The CDK9 inhibitor AZD4573 downregulates c‐MYC and MCL‐1 to induce death of cytarabine (AraC)‐resistant AML cells. This enhances VEN + AZA‐induced cell death significantly more than any combination of two of the three drugs in AraC‐resistant AML cells.
Shuangshuang Wu, Jianlei Zhao, Aaban Asfar Azmi, Avanti Gupte, Jenna Thibodeau, Shuang Liu, Jinli Yang, Guan Wang, Holly Edwards, Lisa A. Polin, Juiwanna Kushner, Sijana H. Dzinic, Kathryn White, Julie Boerner, Maik Hüttemann, Jay Yang, Yue Wang, Jeffrey W. Taub, Yubin Ge   +18 more
wiley   +1 more source

Enumeration optimization of open pit production scheduling based on mobile capacity search domain. [PDF]

Sci Rep, 2023
Xu X, Gu X, Wang Q, Zhao Y, Kong W, Zhu Z, Wang F.   +6 more
europepmc   +1 more source

Usage of clustering methods for sequence plan optimization in steel production [PDF]

, 2016
The paper deals with production scheduling of heat sequences while are steel types casted on continuous casting device. For production scheduling are used k-means clustering and fuzzy clustering methods. The parameters for cluster analysis are chemical
David, Jiří, Frischerová, Lucie, Švec, Pavel   +2 more
core   +2 more sources