16,803 research outputs found
Novice User’s Trust of Data Mining Technology
Although data mining has been widely and successfully used in the domain of business operations, research into how novice end users might make an adoption decision is sparse and much needed. This paper employs a view that trust is generally assumed to be an important precondition for the adoption of any information technology and identifies the antecedents of trust in data mining systems synthesizing empirical studies on people’s trust in computer-mediated services as well as multiple anecdotal evidences documented in the literature
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The Effects of Motivation, Satisfaction and Perceived Value on Tourist Recommendation
Shuyue Huang is a PhD Candidate, school of hospitality, food & tourism management at University of Guelph. She got a BSc in Urban/Rural Planning & Management & Resources Environment in 2008, and an MSc in Human Geography in Sun Yat-Sen University, China. Her research interests include hospitality and tourism management, consumer behaviour, service management, and tourism planning.
Ye Shen is a PhD student in the school of hospitality, food and tourism management, University of Guelph. She got a BBM at Southeast University and an MSc at Peking University, and participated in various tourism planning projects at China Academy of Urban Planning & Design. Her research interests include tourist behaviour and destination management.
Dr. Hwan-Suk Chris Choi is a professor in the school of hospitality, food and tourism management (HFTM) at University of Guelph. His research focuses on three main specialties including destination management (e.g. monitoring system, planning, policy making and safety & security), tourist behaviour, and research methodology.</p
Teaching Students Mainframe Skills for the Niche Market: An Exploratory Proposal
Contrary to the common belief, mainframe is here to stay in corporate Information Technology (IT) infrastructure. Many organizations find it more advantageous in leveraging the mainframe and are adding more workloads and exploiting new technologies. They increase the mainframe usage and leverage it to drive business value and become more successful. However, the mainframe industry faces the challenge of talent shortage because many older mainframe professionals are retiring. On the other hand, very few universities teach students mainframe skills. The high demand of mainframe jobs and the low supply of college graduates with mainframe skills present a unique opportunity for Information Systems (IS) programs to train students mainframe skills for job placement in the niche market. Therefore, we propose the idea of exploring teaching students mainframe skills in IS curriculum. Several excellent programs and resources to prepare students with mainframe skills are also reported in this paper
Pauli paramagnetism of an ideal Fermi gas
We show how to use trapped ultracold atoms to measure the magnetic
susceptibility of a two-component Fermi gas. The method is illustrated for a
non-interacting gas of Li, using the tunability of interactions around a
wide Feshbach resonances. The susceptibility versus effective magnetic field is
directly obtained from the inhomogeneous density profile of the trapped atomic
cloud. The wings of the cloud realize the high field limit where the
polarization approaches 100%, which is not accessible for an electron gas.Comment: 5 pages, 4 figure
CSGM Designer: a platform for designing cross-species intron-spanning genic markers linked with genome information of legumes.
BackgroundGenetic markers are tools that can facilitate molecular breeding, even in species lacking genomic resources. An important class of genetic markers is those based on orthologous genes, because they can guide hypotheses about conserved gene function, a situation that is well documented for a number of agronomic traits. For under-studied species a key bottleneck in gene-based marker development is the need to develop molecular tools (e.g., oligonucleotide primers) that reliably access genes with orthology to the genomes of well-characterized reference species.ResultsHere we report an efficient platform for the design of cross-species gene-derived markers in legumes. The automated platform, named CSGM Designer (URL: http://tgil.donga.ac.kr/CSGMdesigner), facilitates rapid and systematic design of cross-species genic markers. The underlying database is composed of genome data from five legume species whose genomes are substantially characterized. Use of CSGM is enhanced by graphical displays of query results, which we describe as "circular viewer" and "search-within-results" functions. CSGM provides a virtual PCR representation (eHT-PCR) that predicts the specificity of each primer pair simultaneously in multiple genomes. CSGM Designer output was experimentally validated for the amplification of orthologous genes using 16 genotypes representing 12 crop and model legume species, distributed among the galegoid and phaseoloid clades. Successful cross-species amplification was obtained for 85.3% of PCR primer combinations.ConclusionCSGM Designer spans the divide between well-characterized crop and model legume species and their less well-characterized relatives. The outcome is PCR primers that target highly conserved genes for polymorphism discovery, enabling functional inferences and ultimately facilitating trait-associated molecular breeding
SUSTAINABILITYAND GROWTH OFONLINE KNOWLEDGE COMMUNITIES: EXAMINING THE IMPORTANCE OFPERCEIVED COMMUNITYSUPPORTAND PERCEIVED LEADER SUPPORT
Voluntary behaviors (i.e., knowledge contribution and word of mouth) are important to the sustainability and growth of online knowledge communities. Although previous studies have identified various factors leading to knowledge contribution and related behaviors, the underlying psychological processes have rarely been examined. In particular, previous studies have not examined how characteristics of online knowledge communities influence voluntary behaviors through support perception. This study aims to fill the gap in the literature by developing and testing a model to explain voluntary behaviors in online knowledge communities. To develop the research model, we drew on theories of justice, organizational support, and citizenship behavior to explain the influence of characteristics of online knowledge communities on individuals\u27 voluntary behaviors through their perceptions of support from the community and the leader. The research model was tested on survey data collected from 214 online knowledge community users. The results largely supported our model. In particular, we found that pro-sharing norm and information need fulfillment affect perceived community support. Perceived recognition from leader and perceived co-presence of leader affect perceived leader support. Additionally, perceived community support was found to be important in shaping knowledge contribution and word of mouth. Perceived leader support was found to influence individuals\u27 knowledge contribution behavior. Theoretical and Practical implications are discussed
Engineering essential genes with a jump board strategy using CRISPR/Cas9
Here, we describe a platformed “jump board” strategy and its application in systematically engineering the essential microRNA let-7 (Fig. 1A-E) and protein coding gene lin-28 (Fig. 1F) in C. elegans. We chose the jump board protospacer sequence (INPP4A) which is (1) comprised of a PAM site and a protospacer antisense to a crRNA with experimentally confirmed high editing efficiency (INPP4A-crRNA), and (2) non-homologous to C. elegans genome, including the genetic balancer we used (mnDp1). Notably, the jump board protospacer contains an EcoRV restriction site, which can be utilized for rapid large-scale genotyping by which HDR events can be identified in the F1 generation (Fig. 1C). Using the jump board strategy, we have so far created 28 let-7 alleles for various experimental purposes, among which 15 alleles showed lethality and require rescue by mnDp1. Note that the let-7 jump board allele (ma393) itself is a new let-7 null allele in which the precursor-let-7 is completely removed
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