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.
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.
Li T.-J.,Zhejiang Ocean University |
Yang X.-P.,Zhejiang Ocean University
International Journal of Approximate Reasoning | Year: 2014
Probabilistic approaches were successfully applied to the theory of rough sets in recent decades. As a result, various types of probabilistic rough set models have been proposed in constructive approaches. This paper focuses on axiomatic approaches of probabilistic rough sets. Some new properties of probabilistic rough set approximation operators are examined in detail. By investigating the dependence among these properties, the axiom sets characterizing two types of the probabilistic rough set approximation operators are given. Each set of axioms guarantees the existence of an equivalence relation reproducing the corresponding probabilistic rough set approximation operators. © 2013 Elsevier Inc.
Wu W.-Z.,Zhejiang Ocean University |
Leung Y.,Chinese University of Hong Kong
Information Sciences | Year: 2011
Granular computing and acquisition of if-then rules are two basic issues in knowledge representation and data mining. A formal approach to granular computing with multi-scale data measured at different levels of granulations is proposed in this paper. The concept of labelled blocks determined by a surjective function is first introduced. Lower and upper label-block approximations of sets are then defined. Multi-scale granular labelled partitions and multi-scale decision granular labelled partitions as well as their derived rough set approximations are further formulated to analyze hierarchically structured data. Finally, the concept of multi-scale information tables in the context of rough set is proposed and the unravelling of decision rules at different scales in multi-scale decision tables is discussed. © 2011 Elsevier Inc. All rights reserved.
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.
Cai Y.,Zhejiang Ocean University
Advanced Materials Research | Year: 2012
The ideas of energy-saving, environmental protection and low-carbon and all kinds of disciplines are of great relevance. Lack of resources and environmental deterioration are the serious but common problems that mankind are facing now. Being the first scholar to put forward the theory of breadth and depth of space to divide ocean development resources and other resources, the author once again originally found the depth space resources of the development and utilization of plant energy and other renewable resources on land and the characteristics of depth space resources, and also discussed his theoretical view on depth space resources control power deeply. In future, people who can scientifically and rationally develop and use energy and other resources will both own the key to harmonious development with nature concerning energy and other resources exploration of nations and human kind, and the key to peace and primary material base controlling the fate of the world and human. The article focuses on the depth space development and the regarding new resources which will bring a broad and long-term interests and influence on resource and environment problems, the harmony of human society and sustainable development, as well as play a significant role in the area of economy and new geopolitics in the future. © (2012) Trans Tech Publications, Switzerland.
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.
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.
Zhejiang Ocean University | Date: 2013-05-17
A wave power generator device having hypoid racks includes a buoyant tank, a roller mechanism, guide posts, a power generation platform, a hydraulic energy conversion mechanism and a cross lifting lever. The power generation platform is mounted on guide posts extended into the seabed. The cross lifting lever is provided in the throughhole in the middle of the platform. The lower part of the cross lifting lever is fixed with the buoyant tank by a movable connection rod. The roller mechanism is mounted at both sides of the buoyant tank and appressed to the guide posts. The hydraulic energy conversion mechanism includes a housing, one-way hydraulic cylinders, rolling wheels and is mounted on the power generation platform in cooperation with the cross lifting lever to achieve energy conversion motion to solve the control and adaption problem for a water level difference during the wave power generation.
Agency: European Commission | Branch: FP7 | Program: CP-TP | Phase: KBBE.2012.2.4-02 | Award Amount: 5.06M | Year: 2013
Despite many efforts to ensure that only high-quality and safe products are put on the market, fish-borne parasites continue to pose risks to human health, with zoonotic infections and allergic reactions mainly following consumption of raw, lightly cooked, or marinated seafood. The PARASITE proposal is presented by a multidisciplinary consortium of 12 European and 3 Asian research institutions and 6 European SMEs. It aims to provide new scientific evidence and technological developments to detect, monitor, and mitigate impacts of zoonotic parasites, mainly anisakid nematodes but also trematode metacercariae, occurring in European and imported fishery products. The Project will address the research needs identified by EFSA regarding the risk of seafood-borne parasites. It also will facilitate close cooperation between scientists and end-users to produce new technological solutions and management tools for both European and imported fishery products. The Work Plan has been organized in 9 work packages, each covering different stages of a risk assessment framework, providing new epidemiological data, monitoring tools, development and implementation of parasite detection devices, technological tools for their mitigation, and dissemination of key results to all the stakeholders and the general public. Risk assessment of zoonotic parasites will ensure significant progress beyond the state of the art. This will be achieved by improving molecular hazard identification, antigen/allergen characterization, parasite exposure assessment, detection methods and treatments for industrial and other end-users, and an integrated quantitative risk analysis based on powerful statistics and modelling, The main results will impact by (1) contributing to enhanced seafood safety, with consequent benefits for public health and consumer confidence, (2) strengthening the competitiveness of European seafood, from the net to the plate and (3) improving EU food safety policies.