296,365 research outputs found
hyemin-han/BayesFactorFMRI: BayesFactorFMRI V1.0.0
No full textBayesFactorFMRI is a tool developed with R and Python to allow neuroimaging researchers to conduct Bayesian second-level analysis of fMRI data and Bayesian meta-analysis of fMRI images with multiprocessing. This tool was developed to expedite computationally intensive Bayesian fMRI analysis through multiprocessing. Its GUI allows researchers who are not experts in computer programming to feasibly perform Bayesian fMRI analysis. BayesFactorFMRI is available via or GitHub for download. It would be widely reused by neuroimaging researchers who intend to analyse their fMRI data with Bayesian analysis with better sensitivity compared with classical analysis while saving time by distributing analysis tasks into multiple processes.
Please refer to and cite these articles when you use BayesFactorFMRI:
Journal of Open Research Software paper. Bayesian multiple comparison correction: Han, H. (in press). Implementation of Bayesian multiple comparison correction in the second-level analysis of fMRI data: With pilot analyses of simulation and real fMRI datasets based on voxelwise inference. Cognitive Neuroscience, 11(3), 157-169. http://bit.ly/2S6Uka2 Bayesian meta-analysis: Han, H., & Park, J. (2019). Bayesian meta-analysis of fMRI image data. Cognitive Neuroscience, 10(2), 66-76. http://bit.ly/2RCbxZ
hyemin-han/BayesFMRI: The first release of BayesFMRI
No full textBayesFMRI is a tool developed with R and Python to allow neuroimaging researchers to conduct Bayesian second-level analysis of fMRI data and Bayesian meta-analysis of fMRI images with multiprocessing. This tool was developed to expedite computationally intensive Bayesian fMRI analysis through multiprocessing. Its GUI allows researchers who are not experts in computer programming to feasibly perform Bayesian fMRI analysis. BayesFMRI is available via or GitHub for download. It would be widely reused by neuroimaging researchers who intend to analyse their fMRI data with Bayesian analysis with better sensitivity compared with classical analysis while saving time by distributing analysis tasks into multiple processes.
Please refer to and cite these articles when you use BayesFMRI:
Bayesian multiple comparison correction: Han, H. (in press). Implementation of Bayesian multiple comparison correction in the second-level analysis of fMRI data: With pilot analyses of simulation and real fMRI datasets based on voxelwise inference. Cognitive Neuroscience. http://bit.ly/2S6Uka2
Bayesian meta-analysis: Han, H., & Park, J. (2019). Bayesian meta-analysis of fMRI image data. Cognitive Neuroscience, 10(2), 66-76. http://bit.ly/2RCbxZY
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Indices of innovation: application of Data Envelopment Analysis and Malmquist Index Analysis in the assessment of R&D efficiency in R&D-critical sectors
No full textMaintaining or increasing R&D efficiency and productivity is a constant challenge for R&D-driven businesses, and companies in these sectors often explore strategies seen be effective in related sectors, for example the adoption of ‘open’ innovation by the pharmaceutical sector, based on its observed success in the information technology sector as reported by Chesbrough. The papers in this thesis address two gaps in the research literature: (1) the relative lack of established quantitative measures of the performance of open or other innovation strategies, and (2) the continuing challenge of assessing the effectiveness or otherwise of the OI paradigm outside its original high-tech industry focus. The pharmaceutical industry has been claimed as one of the pioneering industries where the principle of OI has been applied. In view of the limitations of prior research on R&D efficiency and OI in this industry, the question of whether OI is the best or only prescription for innovation in the pharmaceutical industry remains a strategic one. The first paper in the sequence identifies and explores systematic measures of innovation by investigating the adaptation and application of DEA as a candidate technique for analysing the R&D efficiency performance, using data on China’s high-tech industry sectors. The second paper explores how such ‘indices of innovation’ could be used to measure performance in terms of changes in R&D efficiency over time, in a case study of Procter and Gamble, a company widely recognised as an early adopter of OI. The third paper builds on the first two, using DEA and MI as ‘indices of innovation’ to measure whether adopting OI is leading to increased R&D efficiency in the pharmaceutical sector. Taken together, these papers explore (a) the feasibility if DEA and MI as new quantitative econometric ‘indices of innovation’, (b) their correlation with a known case of open innovation, and (c) to test the hypothesis that open innovation is increasing R&D efficiency in the pharmaceutical industr
Appropriate Similarity Measures for Author Cocitation Analysis
No full textWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Prochetostoma Han
No full textKey to the three known species of Prochetostoma Han 1 Scutum dark brown; crossvein r-m situated distinctly proximal to mid length of cell dm; short brown marking extending from costal margin at middle of cell r 1 separate from transverse marking covering crossvein r-m......... P. contemnens (Hering) - Scutum entirely yellow brown; crossvein r-m situated slightly distal to mid length of cell dm; short brown marking extending from costal margin at middle of cell r 1 connected to transverse marking through crossvein r-m(Fig. 3 b)................. 2 2 Transverse marking covering crossvein r-m connected or nearly connected to apical C-shaped band covering crossvein dm-cu at posterior margin of cell cua; apex of C-shaped band not expanded; Ƥ with 3 pairs of lateral dark markings on T 3–5; 3 abdomen with markings only on T 5............................................................. P. bhutanicum Han - Transverse marking covering crossvein r-m clearly separate from apical C-shaped band covering crossvein dm-cu at posterior margin of cell cua; apex of C-shaped band expanded (Fig. 3 b); both sexes with 3 pairs of lateral dark markings on T 3–5................................................................................. P. expandens Sueyoshi & HanPublished as part of Sueyoshi, Masahiro & Han, Ho-Yeon, 2011, Prochetostoma expandens (Diptera: Tephritidae) sp. n., a fruit parasite of Ilex integra Thunberg (Aquifoliaceae) in Japan, pp. 39-50 in Zootaxa 2784 on page 47, DOI: 10.5281/zenodo.20204
sj-pdf-3-han-10.1177_15589447211043217 – Supplemental material for Systematic Comparison of Ligament Reconstruction With Tendon Interposition and Suture-Button Suspensionplasty for Trapeziometacarpal Osteoarthritis
No full textSupplemental material, sj-pdf-3-han-10.1177_15589447211043217 for Systematic Comparison of Ligament Reconstruction With Tendon Interposition and Suture-Button Suspensionplasty for Trapeziometacarpal Osteoarthritis by Austin E. Wininger, Erin I. Orozco, Alex Han, Matthew B. Burn and Shari R. Liberman in HAND</p
sj-pdf-1-han-10.1177_15589447211043217 – Supplemental material for Systematic Comparison of Ligament Reconstruction With Tendon Interposition and Suture-Button Suspensionplasty for Trapeziometacarpal Osteoarthritis
No full textSupplemental material, sj-pdf-1-han-10.1177_15589447211043217 for Systematic Comparison of Ligament Reconstruction With Tendon Interposition and Suture-Button Suspensionplasty for Trapeziometacarpal Osteoarthritis by Austin E. Wininger, Erin I. Orozco, Alex Han, Matthew B. Burn and Shari R. Liberman in HAND</p
sj-pdf-2-han-10.1177_15589447211043217 – Supplemental material for Systematic Comparison of Ligament Reconstruction With Tendon Interposition and Suture-Button Suspensionplasty for Trapeziometacarpal Osteoarthritis
No full textSupplemental material, sj-pdf-2-han-10.1177_15589447211043217 for Systematic Comparison of Ligament Reconstruction With Tendon Interposition and Suture-Button Suspensionplasty for Trapeziometacarpal Osteoarthritis by Austin E. Wininger, Erin I. Orozco, Alex Han, Matthew B. Burn and Shari R. Liberman in HAND</p
"Closing the R&D Gap, Evaluating the Sources of R&D Spending"
No full textBoth spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.
Also By The Same Author: AKTiveAuthor, a Citation Graph Approach to Name Disambiguation
No full textThe desire for definitive data and the semantic web drive for inference over heterogeneous data sources requires co-reference resolution to be performed on those data. In particular, name disambiguation is required to allow accurate publication lists, citation counts and impact measures to be determined. This paper describes a graph-based approach to author disambiguation on large-scale citation networks. Using self-citation, co-authorship and document source analyses, AKTiveAuthor clusters papers, achieving precision of 0.997 and recall of 0.818 over a test group of eight surname clusters
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