Xia L.,Zhejiang Ocean University
World Transactions on Engineering and Technology Education | Year: 2015
In the Internet era, it is possible and necessary for tutors engaged in on-line teaching to reflect on the learning process, so as to continuously improve the on-line teaching. Based on a Moodle on-line course, as a sample, an analysis of on-line teaching reflection, from the perspective of tutors, was conducted. A new form of teaching reflection was also explored. The results of the research have indicated that learning analytics is effective in supporting tutors' reflections on interactive on-line teaching and learning. First, analysis of tutors' and learners' behaviour during learning can help tutors grasp the full picture of a learner's development on an on-line course. Second, an analysis of interactive forums can help tutors focus on key teaching and learning activities, and achieve a more accurate analysis than with face-to-face teaching. © 2015 WIETE.
Li D.,Zhejiang Ocean University
Fuzzy Sets and Systems | Year: 2016
In this note, we show by counterexamples that Theorems 9 and 10, and Propositions 7, 18, 19 and 20 in a previous paper by Gera and Dombi (2008)  contain some flaws and then we provide the correct versions. © 2014 Elsevier B.V.
Xu T.,Zhejiang Ocean University
PloS one | Year: 2012
Hepcidin antimicrobial peptide (HAMP) is a small cysteine-rich peptide and a key molecule of the innate immune system against bacterial infections. Molecular cloning and genomic characterization of HAMP gene in the miiuy croaker (Miichthys miiuy) were reported in this study. The miiuy croaker HAMP was predicted to encode a prepropeptide of 99 amino acids, a tentative RX(K/R)R cleavage motif and eight characteristic cysteine residues were also identified. The gene organization is also similar to corresponding genes in mammals and fish consisting of three exons and two introns. Sequence polymorphism analysis showed that only two different sequences were identified and encoded two proteins in six individuals. As reported for most other species, the expression level was highest in liver and an up-regulation of transcription was seen in spleen, intestine and kidney examined at 24 h after injection of pathogenic bacteria, Vibrio anguillarum, the expression pattern implied that miiuy croaker HAMP is an important component of the first line defense against invading pathogens. In addition, we report on the underlying mechanism that maintains sequences diversity among fish and mammalian species, respectively. A series of site-model tests implemented in the CODEML program revealed that moderate positive Darwinian selection is likely to cause the molecular evolution in the fish HAMP2 genes and it also showed that the fish HAMP1 genes and HAMP2 genes under different selection pressures.
Wu W.-Z.,Zhejiang Ocean University
Fundamenta Informaticae | Year: 2012
Statisticians and database users often encounter the problem of missing or imprecise data obtained by a random experiment. Such a data set is called a random incomplete information table. In this paper, we study knowledge reduction in random incomplete information tables and random incomplete decision tables by using a hybrid model based on the rough set theory and the Dempster-Shafer theory of evidence. The concepts of random belief reducts and random plausibility reducts in random incomplete information tables and random incomplete decision tables are introduced. The relationships among the lower approximation reduct, the upper approximation reduct, the random belief reduct, the random plausibility reduct, and the classical reduct in random incomplete decision tables are examined.
Wu W.-Z.,Zhejiang Ocean University |
Leung Y.,Chinese University of Hong Kong
International Journal of Approximate Reasoning | Year: 2013
Human beings often observe objects or deal with data hierarchically structured at different levels of granulations. In this paper, we study optimal scale selection in multi-scale decision tables from the perspective of granular computation. A multi-scale information table is an attribute-value system in which each object under each attribute is represented by different scales at different levels of granulations having a granular information transformation from a finer to a coarser labelled value. The concept of multi-scale information tables in the context of rough sets is introduced. Lower and upper approximations with reference to different levels of granulations in multi-scale information tables are defined and their properties are examined. Optimal scale selection with various requirements in multi-scale decision tables with the standard rough set model and a dual probabilistic rough set model are discussed respectively. Relationships among different notions of optimal scales in multi-scale decision tables are further analyzed. © 2013 Elsevier Inc. All rights reserved.