Oct 2026· Analytica Chimica Acta· Vol 1420, pp.
345973
· 0 citations· 73 references
Medicine
Abstract
Artificial nanozymes integrate low cost and high sensitivity, and their rational design has become a research hotspot and core focus in the field. In this work, a novel high-sensitivity colorimetric detection platform was developed using MXene quantum dots (MQDs)-modified spherical Cu2O nanozymes (Cu2O/MQDs) for rutin detection. Combined experimental characterization and theoretical simulation were performed to study the catalytic mechanism of Cu2O/MQDs. Density functional theory (DFT) calculations theoretically revealed that the Cu-Ti bimetallic interfacial active sites endow the composite material with enhanced catalytic activity by accelerating the activation of H2O2 and the formation of hydroxyl radicals (•OH). Under optimized experimental conditions, the colorimetric sensing platform constructed with Cu2O/MQDs exhibited a linear detection range of 0-150 μM, with a calculated limit of detection (LOD) of 0.214 μM. Moreover, based on this detection mechanism, an artificial intelligence (AI)-assisted smartphone detection platform was developed to achieve more convenient, efficient, sensitive and reliable rutin detection, with an LOD of 0.054 μM. Based on the findings of this study, successful quantitative detection of rutin in environmental and pharmaceutical samples was achieved.
GAOKAO-Bench is introduced, an intuitive benchmark that employs questions from the Chinese GAOKAO examination as test samples, including both subjective and objective questions that contribute a robust evaluation benchmark for future large language models and offers valuable insights into the advantages and limitations of such models.
Xiaotian Zhang, Chun-yan Li, Yi Zong et al.· arXiv.org· 216 citations· ⚡17
Empirically, PRISM reduces the end-to-end time for data selection and model tuning to just 30% of conventional pipelines, and achieves this efficiency while simultaneously enhancing performance, surpassing models fine-tuned on the full dataset across eight multimodal and three language understanding benchmarks.
Jinhe Bi, Yifan Wang, Danqi Yan et al.· arXiv.org· 73 citations· ⚡4
The method, ECCOLA, is presented, which aims at making the high-level AI ethics principles more practical, making it possible for developers to more easily implement them in practice.
Ville Vakkuri, Kai-Kristian Kemell, P. Abrahamsson· EUROMICRO Conference on Soft...· 64 citations· ⚡6
This paper designs Markov decision processes (MDPs) for different combinatorial problems and proposes to train conditional GFlowNets to sample from the solution space and demonstrates that GFlowNet policies can efficiently find high-quality solutions.
Dinghuai Zhang, H. Dai, Esmeralda S. Whitammer et al.· Advances in Neural Informati...· 59 citations· ⚡8
An empirical study on the current state of practice in artificial intelligence ethics is conducted by means of a multiple case study of five case companies, which indicates a gap between research and practice in the area.
Ville Vakkuri, Kai-Kristian Kemell, Joni Kultanen et al.· arXiv.org· 56 citations· ⚡6