Institution
Royal Thimphu College
About: Royal Thimphu College is a based out in . It is known for research contribution in the topics: Classical music & Popular music. The organization has 24 authors who have published 55 publications receiving 259 citations.
Topics: Classical music, Popular music, Music, Musical, Music education
Papers
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TL;DR: All vocal burst stimuli varied significantly in terms of the degree to which they were recognized across the 11 cultures, and the implications for current debates concerning the emotion conveyed in the voice are focused on.
Abstract: With data from 10 different globalized cultures and 1 remote, isolated village in Bhutan, we examined universals and cultural variations in the recognition of 16 nonverbal emotional vocalizations. College students in 10 nations (Study 1) and villagers in remote Bhutan (Study 2) were asked to match e
100 citations
Babeș-Bolyai University1, University of Vienna2, Tilburg University3, University of Cologne4, Bar-Ilan University5, Queensland University of Technology6, University of Queensland7, University of East Anglia8, American University in Cairo9, University of Murcia10, Dokuz Eylül University11, University of Turku12, Berlin School of Economics and Law13, National Research University – Higher School of Economics14, University of Malta15, University of Limerick16, University of Pretoria17, East China Normal University18, University of Nottingham19, Lahore University of Management Sciences20, Kochi University of Technology21, University of Fribourg22, National and Kapodistrian University of Athens23, University of Warsaw24, ESCP Europe25, University of East London26, Chiang Mai University27, University of Iceland28, Royal Thimphu College29, Dongguk University30, National Center for Public Policy Research31, University of Eastern Finland32, Uppsala University33, University of Gothenburg34, University of Debrecen35, Eötvös Loránd University36, Academy of Athens37, University of Reims Champagne-Ardenne38, Mackenzie Presbyterian University39, University of Tehran40, University of Trento41, Norwegian School of Economics42, University of Leeds43, Bridgewater State University44, National University of Colombia45, University of Cape Town46, University of Hong Kong47, University of Guelph48, Mykolas Romeris University49
TL;DR: In this article, the authors found that trust in authorities and power of authorities, as defined in the slippery slope framework, increase tax compliance intentions and mitigate intended tax evasion across societies that differ in economic, sociodemographic, political, and cultural backgrounds.
83 citations
01 Sep 2017
TL;DR: This work considers the issue of changing house price as a classification problem and applies machine learning techniques to predict whether house prices will rise or fall and applies various feature selection techniques such as variance influence factor, Information value, principle component analysis and data transformation techniques.
Abstract: The phenomenon of the falling or rising of the house prices has attracted interest from the researcher as well as many other interested parties. There have been many previous research works that used various regression techniques to address the question of the changes house price. This work considers the issue of changing house price as a classification problem and applies machine learning techniques to predict whether house prices will rise or fall. This work applies various feature selection techniques such as variance influence factor, Information value, principle component analysis and data transformation techniques such as outlier and missing value treatment as well as box-cox transformation techniques. The performance of the machine learning techniques is measured by the four parameters of accuracy, precision, specificity and sensitivity. The work considers two discrete values 0 and 1 as respective classes. If the value of the class is 0 then we consider that the price of the house has decreased and if the value of the class is 1 then we consider that the price of the house has increased.
26 citations
TL;DR: The results show the advantage of using density based indices over variance based indices mainly due to the former’s employment of distance measures & the kernel trick via Reproducing kernel Hilbert space (RKHS) that capture nonlinear relations among various intra/extracellular factors of the pathway in a higher dimensional space.
Abstract: Ever since the accidental discovery of Wingless [Sharma R.P., Drosophila information service, 1973, 50, p 134], research in the field of Wnt signaling pathway has taken significant strides in wet lab experiments and various cancer clinical trials, augmented by recent developments in advanced computational modeling of the pathway. Information rich gene expression profiles reveal various aspects of the signaling pathway and help in studying different issues simultaneously. Hitherto, not many computational studies exist which incorporate the simultaneous study of these issues. This manuscript ∙ explores the strength of contributing factors in the signaling pathway, ∙ analyzes the existing causal relations among the inter/extracellular factors effecting the pathway based on prior biological knowledge and ∙ investigates the deviations in fold changes in the recently found prevalence of psychophysical laws working in the pathway. To achieve this goal, local and global sensitivity analysis is conducted on the (non)linear responses between the factors obtained from static and time series expression profiles using the density (Hilbert-Schmidt Information Criterion) and variance (Sobol) based sensitivity indices. The results show the advantage of using density based indices over variance based indices mainly due to the former’s employment of distance measures & the kernel trick via Reproducing kernel Hilbert space (RKHS) that capture nonlinear relations among various intra/extracellular factors of the pathway in a higher dimensional space. In time series data, using these indices it is now possible to observe where in time, which factors get influenced & contribute to the pathway, as changes in concentration of the other factors are made. This synergy of prior biological knowledge, sensitivity analysis & representations in higher dimensional spaces can facilitate in time based administration of target therapeutic drugs & reveal hidden biological information within colorectal cancer samples.
20 citations
TL;DR: A novel approach to solve the VLSI floor planning problems is presented, based on iterative prototypes optimization with evolved improvement (POEMS) algorithm that uses a genetic algorithm for local search on each iteration and adopts a non-slicing structure B* tree for the placement of rectangle modules.
15 citations
Authors
Showing all 24 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Janet Ward Schofield | 33 | 73 | 5673 |
| Dorji Wangchuk | 8 | 18 | 260 |
| Nilanjan Ray | 7 | 39 | 149 |
| Shriprakash Sinha | 5 | 11 | 75 |
| Cathleen LeGrand | 4 | 22 | 48 |
| Somnath Chaudhuri | 4 | 12 | 60 |
| Jesse Montes | 3 | 4 | 17 |
| Jelle J.P. Wouters | 3 | 4 | 12 |
| Suchibrota Dutta | 2 | 15 | 36 |
| Ivan Stacy | 2 | 5 | 23 |
| Tenzin Phuntsho | 1 | 1 | 1 |
| Shiva Raj Bhattarai | 1 | 1 | 5 |
| Sanjeev Mehta | 1 | 1 | 41 |
| Sunil Kumar | 1 | 1 | 2 |
| Matthew J. Schuelka | 1 | 1 | 1 |