Results 51 to 60 of about 11,997,994 (262)
The constrained optimization of autothermal reforming (ATR) processes involving multiple conflicting objectives, such as operational expenditure (OPEX), carbon footprint, and hydrogen production, remains a critical challenge in process systems ...
Sahar Shahriari, Davood Iranshahi
doaj +1 more source
Composite ultra-thin boom can be folded elastically. Moreover, such booms are able to self-deploy by releasing stored strain energy, which can be applied in deployable antenna, solar sail, and optical telescopes.
Hui Yang +3 more
doaj +1 more source
Infrared Small Target Detection via Non-Convex Tensor Rank Surrogate Joint Local Contrast Energy
Small target detection is a crucial technique that restricts the performance of many infrared imaging systems. In this paper, a novel detection model of infrared small target via non-convex tensor rank surrogate joint local contrast energy (NTRS) is ...
Xuewei Guan +3 more
doaj +1 more source
Speeding up Composite Differential Evolution for structural optimization using neural networks
Composite Differential Evolution (CoDE) is categorized as a (µ + λ)-Evolutionary Algorithm where each parent produces three trials. Thanks to that, the CoDE algorithm has a strong search capacity.
Tran-Hieu Nguyen, Anh-Tuan Vu
doaj +1 more source
This study identifies ARHGAP5, in addition to the frequently mutated ARHGAP35, as significantly mutated in endometrial cancer. Mutations in both genes co‐occur and are associated with their correlated downregulation. Functional CRISPR studies show that both paralogs regulate similar pathways, including actin cytoskeleton organization.
Mathilde Pinault +12 more
wiley +1 more source
Tin-Smelting Parameter Optimization via an RBFN-Assisted Dynamic Multiobjective Approach
Tin smelting in a top-blowing furnace is a key non-ferrous metallurgical process in which tin recovery, energy consumption, and the service life of the magnesia–chrome refractory lining are affected by strongly coupled operating variables.
Zhaojun Ma +4 more
doaj +1 more source
Dimensional Variation Analysis for Rigid Part Assembly With an Improvement of Monte Carlo Simulation
Dimensional variation has significant effect on the quality of product. Recently, Monte Carlo (MC) simulation is widely used in dimensional variation analysis, with high accuracy and adaptability, but there is the problem of low computational efficiency.
Wenbin Tang +2 more
doaj +1 more source
Reprogramming tumor cells with LCOR mRNA nanotherapy to enhance immunotherapy
LCOR (Ligand‐dependent corepressor) mRNA encapsulated in polymeric nanoparticles restores LCOR activity in tumor cells, constraining aggressive tumor cell states and increasing tumor immunogenicity. This reprogramming makes tumor cells more vulnerable to T‐cell attack and enhances their response to immune‐checkpoint immunotherapy.
Gabriel Serra‐Mir +9 more
wiley +1 more source
Versatile vector tools for efficient protein screening across multiple expression systems
A unified vector toolkit enables rapid protein expression screening across E. coli, insect, and mammalian cells. A single primer pair amplifies the target gene, which is inserted into any vector via a standardized interface. This streamlined workflow eliminates repeated cloning steps, accelerating the identification of optimal expression conditions for
Zhimin Zhu +5 more
wiley +1 more source
Combining an ε-Constraint Method with the Pareto Global Constraint [PDF]
Many real-life problems involve multiple conflicting objectives; hence, the decision maker is provided with a set of trade-off solutions, the Pareto front.
Bouvry, Pascal +2 more
core +1 more source

