16,388 research outputs found
Author Correction: Evaluation of skin cancer resection guide using hyper‑realistic in‑vitro phantom fabricated by 3D printing
No full textThe original version of this Article contained an error in the spelling of the author Taehun Kim which was incorrectly given as Teahun Kim. The original Article has been corrected
Ready, set, go: Cortical hemodynamics during self-controlled sprint starts
No full textObjectives: Successful sprint starts require self-control: Athletes need to avoid a false start (impulse control) and at the same time need to start as fast as possible (action initiation). Research from cognitive neuroscience shows that such self-control acts hinge on activity in areas in the lateral Prefrontal Cortex (lPFC). We are harnessing these findings in order to accurately analyze and better understand the neural basis of self-controlled sprint start performance.
Design: In a within-subject experimental design, participants executed three different sprint start sequences (Ready-Set-Go) for ten times each. In the no-start condition, participants only had to avoid producing a false start (impulse control) and in the experimental conditions - either with fixed or with supposedly variable set-start intervals - they additionally had to execute a fast start (impulse control + action initiation).
Methods: We used functional near-infrared spectroscopy (fNIRS) to assess cerebral oxygenation in the lPFC during sprint start in 33 male participants.
Results: Results show that cerebral oxygenation increased after the set-signal and this increase was particularly pronounced in the fixed and supposedly-variable start conditions. Post-hoc analyses further indicated that oxygenation differences between no-start and the two start conditions were particularly pronounced in anterior parts of the LPFC.
Discussion: This is the first study to reveal oxygenation changes in self-control relevant cortical areas during sprint start performance. This substantiates the claim that sprint starts impose self-control demands and provides a much called for application of neuroscience findings to the sport context
New online international master of science in addiction studies: a joined effort to improve learning and access to training
No full textPaper No 310Femke Buisman-Pijlman, Mary Loos, Kim Wolff, Jason Whit
DBLP-derived labeled data for author name disambiguation
No full textThis is a DBLP-derived labeled data originally created by Dr. C. Lee Giles at Penn State University and filtered for duplicate removal and error correction by Dr. Jinseok Kim at University of Michigan. For more details, see references below.1. Kim, Jinseok (2018). Evaluating author name disambiguation for digital libraries: a case of DBLP. Scientometrics. doi:10.1007/s11192-018-2824-5 2. Kim, Jinseok & Kim, Jenna (2018). The impact of imbalanced training data on machine learning for author name disambiguation. Scientometrics. doi: 10.1007/s11192-018-2865-9Each row refers to an author name instance with following feature information separated by tab.author name: full name string extracted from DBLPunique author id: labels assigned manually by Dr. C. Lee Giles's teampaper id: assigned by Dr. Jinseok Kimauthor list: names of authors in the byline of the paperyear: publication yearvenue: conference or journal namestitle: stopwords removed and stemmed by the Porter's stemmerIf you want to use this dataset, please consider to cite papers below.For the original dataset: Han, H., Giles, L., Zha, H., Li, C., & Tsioutsiouliklis, K. (2004). Two Supervised Learning Approaches for Name Disambiguation in Author Citations. JCDL 2004: Proceedings of the Fourth ACM/IEEE Joint Conference on Digital Libraries, 296-305. doi:10.1145/996350.996419For the filtered dataset: 1. Kim, Jinseok (2018). Evaluating author name disambiguation for digital libraries: a case of DBLP. Scientometrics. doi:10.1007/s11192-018-2824-5 or2. Kim, Jinseok & Kim, Jenna (2018). The impact of imbalanced training data on machine learning for author name disambiguation. Scientometrics. doi: 10.1007/s11192-018-2865-9</div
Khoo Kay Kim, professor of Malaysian history : a biobibliometric study
No full textPresents an analysis of the publication productivity, authorship pattern, channels of communication, journal preference and language preference of Professor Dato' Khoo Kay Kim, Professor of Malaysian History in the University of Malaya, Kuala Lumpur. The results of this biobibliometric study indicate that he can be a role model for future Malaysian historians to emulate his various achievements especially in the field of history education
Anxious, Dismal, Giddy, Aggressive: Seth Kim-Cohen interviewed by Mark Peter Wright for Ear Room.
No full textA conversation with author Seth Kim-Cohen
Kim Gordon - no icon
No full textAs cofounder of legendary rock band Sonic Youth, best-selling author, and celebrated artist, Kim Gordon is one of the most singular and influential figures of the modern era. This personally curated scrapbook is an edgy and evocative portrait of Gordon s life, art, and style. Spanning from her childhood on Californian surf beaches in the 60s and 70s to New York s downtown art and music scene in the 80s and 90s where Sonic Youth was born. Through unpublished personal photographs, magazine and newspaper clippings, fashion editorials, and advertising campaigns, interspersed with Gordon s song lyrics, writings, artworks, private objects, and ephemera, this book demonstrates how Kim Gordon has been a role model for generations of women and me
Point Cloud Noise and Outlier Removal for Image-Based 3D Reconstruction
No full textWolff K, Kim C, Zimmer H, et al. Point Cloud Noise and Outlier Removal for Image-Based 3D Reconstruction. In: Proceedings of International Conference on 3D Vision. IEEE; 2016
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