Qinhuangdao Science and Technology Bureau

Machine learning prediction of UHPC creep coefficient using optimized extremely randomized trees

The increased mechanics, durability, and affordability of ultra-high-performance concrete (UHPC) with regular Coarse Aggregate (CA) make it promising. machine learning (ML) was used to study UHPC Creep. Using feature significance analysis, the Aggregate-To-Cement Ratio (AG/C), co...

Development of ferroptosis-related prognostic signature for lung adenocarcinoma and association of fibroblast-enriched RGS4 with favorable prognosis

Lung adenocarcinoma (LUAD) is characterized by high incidence and low survival rate. The molecular network of ferroptosis in lung adenocarcinoma requires further investigation, and this study aims to develop a ferroptosis-related prognostic model and identify the potential biomar...

Integrated physiological and transcriptomic analyses reveal the mechanisms of exogenous selenium-mediated alleviation of saline-alkali stress in tomato seedlings

Abstract Background Tomato growth is severely constrained by saline-alkali stress. Although the mitigating effects of exogenous selenium on various abiotic stresses have been documented, its physiological and molecular regulatory mechanisms in tomato seedlings under saline-alkali...

LB-Louvain: Balancing Transaction Locality and Shard Load in Account-Based State Sharding

Account-based state sharding improves blockchain parallelism by distributing account states and transaction execution across physical shards, but effective placement must preserve transaction locality without concentrating processing demand on a small number of shards. This paper...