Kai Cui

Nov 3, 2024 | kaicui726.medium.com | Kai Cui

Kai Cui - Data Science·Follow4 min read·--Photo by Pau Casals on UnsplashExperimentation is a critical process for scientific discovery. It is especially useful in establishing causal relations between intervention (cause) and effect. Among many causal inference techniques, the most popular one is AB Test. It is a randomised controlled trail (RCT) where each unit (user/geo/day) is randomly assigned to a control group and treatment (with intervention) group.

Oct 21, 2024 | chemistry-europe.onlinelibrary.wiley.com | Kai Cui |Yuli Jing |Xiaohong Li

Cu/SiO2 catalysts are widely applied to the hydrogenation of dimethyl oxalate and ethylene carbonate to the corresponding ethylene glycol and methanol simultaneously, while ethylene glycol and methanol are important bulk commodities and raw materials for the production of oxygen-containing chemicals and fuels.

May 22, 2024 | onlinelibrary.wiley.com | Kai Cui |Resources Utilization |Zhao Zhang |Congxu Wang

Conflict of interests The authors declare no conflict of interest. Supporting Information As a service to our authors and readers, this journal provides supporting information supplied by the authors. Such materials are peer reviewed and may be re-organized for online delivery, but are not copy-edited or typeset. Technical support issues arising from supporting information (other than missing files) should be addressed to the authors.

Apr 15, 2024 | nature.com | Zhongchao Li |Bo Zhang |Xuetao Shi |Kai Cui |Zhicheng Sun |Mingming Li | +3 more

AbstractNotable-HCC (NCT05185531) is a phase 1b trial, aiming to evaluate the safety and preliminary effectiveness of neoadjuvant PD-1 blockade plus stereotactic body radiotherapy (SBRT) in early-stage resectable hepatocellular carcinoma (HCC). Twenty patients with HCC of BCLC stage 0-A received 3\(\times \) Gy SBRT and two cycles of tislelizumab, an anti-PD-1 monoclonal antibody before the curative HCC resection.

Dec 24, 2023 | researchgate.net | Kai Cui

... Additionally, AI can be understood from the perspective of the (theoretical) ability of an intelligent machine situated on a continuum, from specific to general intelligence or from basic to super intelligence. Some forms of AI within this continuum can be distinguished by names, such as Narrow AI, General AI, Weak AI, Strong AI [35]. ... ... 35 Hyperparameters (outside the model) vs parameters(inside the model). ...