Comparison of competency recognition accuracy between grounded theory and content analysis method.

Comparison of competency recognition accuracy between grounded theory and content analysis method.</p

Comparison of the accuracy of competency recognition between grounded theory and content analysis method.

Comparison of the accuracy of competency recognition between grounded theory and content analysis method.</p

Comparison of average scores of training programs for tourism majors with different competency training mechanisms (B1: Logical thinking ability; B2: Communication skills; B3: Foresight consciousness; B4: Information technology capability).

Comparison of average scores of training programs for tourism majors with different competency training mechanisms (B1: Logical thinking ability; B2: Communication skills; B3: Foresight consciousness; B4: Information technology capability).</p

Statistics of the grading results of tourism majors based on different competency training mechanisms (A1: Practical ability; A2: Innovative ability; A3: Cooperation ability; A4: Lifelong learning ability).

Statistics of the grading results of tourism majors based on different competency training mechanisms (A1: Practical ability; A2: Innovative ability; A3: Cooperation ability; A4: Lifelong learning ability).</p

Statistics of scores of music majors based on different competency training mechanisms (A1: Practical ability; A2: Innovative ability; A3: Cooperation ability; A4: Lifelong learning ability).

Statistics of scores of music majors based on different competency training mechanisms (A1: Practical ability; A2: Innovative ability; A3: Cooperation ability; A4: Lifelong learning ability).</p

Pseudo-code flow of algorithm for establishing competency training mechanism model of tourism undergraduates based on grounded theory.

Pseudo-code flow of algorithm for establishing competency training mechanism model of tourism undergraduates based on grounded theory.</p

Comparison of standard errors of training programs for tourism majors with different competency training mechanisms (B1: Logical thinking ability; B2: Communication skills; B3: Foresight consciousness; B4: Information technology capability).

Comparison of standard errors of training programs for tourism majors with different competency training mechanisms (B1: Logical thinking ability; B2: Communication skills; B3: Foresight consciousness; B4: Information technology capability).</p

Key factors of tourism professional competence training mechanism.

Key factors of tourism professional competence training mechanism.</p

Additional file 6: of Gene expression profiling of 1200 pancreatic ductal adenocarcinoma reveals novel subtypes

Table S3. Significantly enriched gene sets for each subtype. (XLS 883 kb

Developing Geospatial Data Analysis Building Blocks (GABBS)

Geospatial Data Analysis Building Blocks (GABBs) is an NSF-funded Data Infrastructure Building Blocks (DIBBS) project to create a powerful yet easy-to-use web-based system that provides the software building blocks allowing researchers. who are typically not a computer expert, to self-manage, curate, share, analyze, and visualize geospatial data for their research. This opens the way for rapid development of a variety of web-enabled interactive tools for probing and presenting geospatial data. The development of GABBS building blocks is driven by the requirements from several user communities, including hydrologic modeling and data sharing, applied economics modeling workflow, meteorological data management and visualization, K-12 education tools, and high education course development with online modeling support. GABBs also integrate XSEDE resources, Globus, iRODS and other cyberinfrastructure support, enabling large scale computation and data capabilities for the user community. This poster will present the design and implementation of the GABBS software consisting of geospatial data management functions that are integrated into HUBzero’s Project data space, software and hardware based mapping libraries and map viewer widgets for geospatial tool development, and dynamic invocation of data analysis tools from the Hub Project data space.<div><br></div><div>Team members include: Larry Biehl, Rajesh Kalyanam, Rob Campbell, Betsy Hillery, Carolyn Ellis, Derrick Kearney, Leif Delgass, Kevin Wojkovich, Erich Huebner, Hou-Jen Ko, Nelson Villoria, Venkatesh Merwarde, Adnan Rajib, Jaewoo Shin, I Luk Kim</div> <div> <div> <div> <p> <br></p> </div> </div> </div