Results 11 to 20 of about 82,206 (311)
Dynamic flexible job-shop scheduling (DFJSS) is a challenging combinational optimization problem that takes the dynamic environment into account. Genetic programming hyperheuristics (GPHH) have been widely used to evolve scheduling heuristics for job ...
Fangfang Zhang+3 more
semanticscholar +1 more source
On the Job-Shop Scheduling Problem [PDF]
This is a proposal for the application of discrete linear programming to the typical job-shop scheduling problem—one that involves both sequencing restrictions and also noninterference constraints for individual pieces of equipment. Thus far, no attempt has been made to establish the computational feasibility of the approach in the case of large-scale
openaire +5 more sources
Research on Adaptive Job Shop Scheduling Problems Based on Dueling Double DQN
Traditional approaches for job shop scheduling problems are ill-suited to deal with complex and changeable production environments due to their limited real-time responsiveness.
B. Han, Jianjun Yang
semanticscholar +1 more source
Actor-Critic Deep Reinforcement Learning for Solving Job Shop Scheduling Problems
In the past decades, many optimization methods have been devised and applied to job shop scheduling problem (JSSP) to find the optimal solution.
Chien-Liang Liu+2 more
semanticscholar +1 more source
Loss of the frequently mutated chromatin remodeler ARID1A, a subunit of the SWI/SNF cBAF complex, results in less open chromatin, alternative splicing, and the failure to stop cells from progressing through the cell cycle after DNA damage in bladder (cancer) cells. Created in BioRender. Epigenetic regulators, such as the SWI/SNF complex, with important
Rebecca M. Schlösser+11 more
wiley +1 more source
We identified adaptor protein ShcD as upregulated in triple‐negative breast cancer and found its expression to be correlated with reduced patient survival and increased invasion in cell models. Using a proteomic screen, we identified novel ShcD binding partners involved in EGFR signaling pathways.
Hayley R. Lau+11 more
wiley +1 more source
Job Shop Scheduling by Local Search [PDF]
We survey solution methods for the job shop scheduling problem with an emphasis on local search. Both deterministic and randomized local search methods as well as the proposed neighborhoods are discussed. We compare the computational performance of the various methods in terms of their effectiveness and efficiency on a standard set of problem ...
Jan Karel Lenstra+2 more
openaire +2 more sources
Targeted protein degradation in oncology: novel therapeutic opportunity for solid tumours?
Current anticancer therapies are limited by the occurrence of resistance and undruggability of most proteins. Targeted protein degraders are novel, promising agents that trigger the selective degradation of previously undruggable proteins through the recruitment of the ubiquitin–proteasome machinery. Their mechanism of action raises exciting challenges,
Noé Herbel, Sophie Postel‐Vinay
wiley +1 more source
This study presents a novel AI‐based diagnostic approach—comprehensive serum glycopeptide spectra analysis (CSGSA)—that integrates tumor markers and enriched glycopeptides from serum. Using a neural network model, this method accurately distinguishes liver and pancreatic cancers from healthy individuals.
Motoyuki Kohjima+6 more
wiley +1 more source
Microglia (BV2) and IL‐4‐treated BMDMs promote astrocytoma clustering and inhibit tumor growth, not shown in other macrophage cells. In vivo, microglial co‐implantation enhances CD8+ T cell infiltration, elevates Granzyme B, lowers circulating MDSCs, and extends survival only in immune‐competent mice, but not in immune‐deficient mice.
Tzu‐Chieh Sun+5 more
wiley +1 more source