Cognitive Diagnosis Testlet Model for Multiple-Choice ItemsLei Guo, Wenjie Zhou, Nai-Qing Song & Xiao Li
Testlet design is very popular in educational and psychological assessments. This article proposes a new cognitive diagnosis model, the Multiple-Choice Cognitive Diagnostic Testlet (MC-CDT) model for a test with testlets consisting of multiple-choice (MC) items. The MC-CDT model uses the original examinees’ responses to MC items instead of dichotomously scored data (i.e. correct or incorrect) so that it retains the information from different distractors and thus enhances the diagnostic power of MC items. The MCMC...
Block-wise Variable Selection for Clustering via Latent States of Mixture ModelsBeomseok Seo, Lin Lin & Jia Li
Mixture modeling is a major paradigm for clustering in statistics. In this paper, we develop a new block-wise variable selection method for clustering by exploiting the latent states of the hidden Markov model on variable blocks or the Gaussian mixture model. The variable blocks are formed by depth-first-search on a dendrogram created based on the mutual information between any pair of variables. It is demonstrated that the latent states of the variable blocks together with...
Angiopoietin-like protein 8, molecular cloning and regulating lipid accumulation in goat intramuscular preadipocytesWei Huang, Yaqiu Lin, Hua Xiang, Jiangjiang Zhu & Yong Wang
This study aimed to clone the full-length open reading frame (ORF) of goat ANGPTL8 gene sequence, reveal its molecular and expression characteristics, and explore its effect on the differentiation of goat intramuscular preadipocytes. The full-length ORF sequence of goat ANGPTL8 gene was cloned by RT-PCR technology, and bioinformatics analysis was performed by related biological software. RT-qPCR was used to detect the expression of ANGPTL8 mRNA in goat tissues. Further use of RNA interference to study...
An analysis of the optimal intrusion force of the maxillary central incisor with root horizontal resorption using the finite element method and curve fittingXin Zhang, Min-Qi Li, Jie Guo, Heng-Wei Yang, Jian Yu & Guo-Ju Li
There are no studies on the optimal intrusion force in orthodontic patients with the existing root resorption (RR). The study aimed to analyze the optimal intrusion force for central incisors with existing horizontal root resorption using the finite element method (FEM). We calculated the optimal intrusion force using the finite element method and curve fitting. We found that with the increase of the maxillary central incisor’s root horizontal resorption length, the optimal intrusion force interval’s...
Outdoor air pollution and the risk of asthma exacerbations in single lag0 and lag1 exposure patterns: a systematic review and meta-analysisJunjun Huang, Xiaoyu Yang, Fangfang Fan, Yan Hu, Xi Wang, Sainan Zhu, Guanhua Ren & Guangfa Wang
Objective: To synthesize evidence regarding the relationship between outdoor air pollution and risk of asthma exacerbations in single lag0 and lag1 exposure patterns. Methods: We performed a systematic literature search using PubMed, Embase, Cochrane Library, Web of Science, ClinicalTrials, China National Knowledge Internet, Chinese BioMedical, and Wanfang databases. Articles published until August 1, 2020 and the reference lists of the relevant articles were reviewed. Two authors independently evaluated the eligible articles and performed structured extraction...
Removal of harmful algae by Shigella sp. H3 and Alcaligenes sp. H5: algicidal pathways and characteristicsGang Xue, Xiaonuan Wang, Chenlan Xu, Binxue Song & Hong Chen
Application of algicidal bacteria is a promising technology to control harmful algal blooms (HABs). In this study, algicidal bacteria strains Shigella sp. H3 and Alcaligenes sp. H5 were obtained via two different isolation methods from the same lake water sample, with optimal algicidal efficiencies 96% and 74% against algae mixture. The Shigella sp. H3 and Alcaligenes sp. H5 lysed algae cells through cells-to-cells direct contact and secretion of algicidal metabolites, respectively. The stronger algicidal capability...
Cognitive Diagnosis Testlet Model for Multiple-Choice ItemsLei Guo, Wenjie Zhou & Xiao Li
Testlet design is very popular in educational and psychological assessments. This article proposes a new cognitive diagnosis model, the Multiple-Choice Cognitive Diagnostic Testlet (MC-CDT) model for a test with testlets consisting of multiple-choice (MC) items. The MC-CDT model uses the original examinees' responses to MC items instead of dichotomously scored data (i.e. correct or incorrect) to retain the information from different distractors and thus enhance the MC items' diagnostic power. The MCMC algorithm is adopted...
First Affiliated Hospital of Chongqing Medical University7
University of Chinese Academy of Sciences6
Chengdu University of Traditional Chinese Medicine4
North West Agriculture and Forestry University3
Shanghai Jiao Tong University3
Chinese Academy of Medical Sciences & Peking Union Medical College3
Central South University2