124,195 research outputs found
Viewpoint cinema and construction of identity:Dr Rajkumar phenomenon in Karnataka
No full textAided by science and technology cinema has become a medium for entertainment, business, dialogue, propaganda, education, religion, and culture. The year 1954 becomes extremely important for Kannada cinema as there comes a turning point. The movie Bedara Kannappa starring S. P. MuthuRaj rechristened as Rajkumar by the film’s producer Gubbi Veeranna was released. The movie created box office history gave a much needed boost to the ailing and struggling Kannada cinema. Rajkumar was to set the standards for both acting skills, sustenance and consolidation of the mass adulation that followed him. He was a product of theatre which nurtured and refined him. His impeccable voice complimented his acting. Another significant contribution has been introducing the best of Kannada literary works and poetry to the Kannada subaltern by their cinematic reproductions. Gradually, one sees the evolution of a least educated, rural, backward caste man becoming the symbol of Kannada, cultural icon and the identity of Kannada cinema
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No full textThe well-characterized ruthenium(II) biscarboxylate complex [Ru(O(2)CMes)(2)(p-cymene)] enabled versatile direct (hetero)arylations of C(sp(3))-H bonds with low (co)catalyst loading and ample substrate scope. Detailed mechanistic studies provided strong support for a facile and reversible C(sp(3))-H bond metalation
Highly Cited Works on Human Clinical Trials
No full textThe aim of this study was to determine landscapes of the most cited publications on Human Clinical Trials. The top 856 most cited publications on Human Clinical Trials were identified from Web of Science database. The 856 most cited papers on Human Clinical Trials were published between 1989 and 2021 with an average Citation per paper is 1065.46 (Citations range: 400–6319) and are included among the 56 most cited papers in in New England Journal of Medicine with 50851 Citations followed by Journal of Clinical Oncology with 43200 Citations, JAMA Journal of the American Medical Association with 28875 Citations, Nature with 26456 and Lancet with 25181 Citations. The most Cited Countries are: USA with 453423 Citations followed by UK with 100930 Citations, Canada with 84220, France with 61930, Germany with 61752 and India ranked 31st Place according to Citations with 4409. The most cited publications on Human Clinical Trials are highly impactful, landmark studies representing Institutions, Countries, Sources and authorship pattern. A clinical trial is a research study in human volunteers to answer specific health questions. Carefully conducted clinical trials are fastest and safest way to find treatment that work in people and way to improve health. These influential publications have immensely inspiration research for invention of Drugs, Vaccines and Medicines
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No full textBook Chapter. Book Title: Coastal Agricultural Resource Inventory: An overview and way forward. (2020). Ed(s): Chakurkar E. B., Desai A. R., Thangam M., Manohara K. K., Shivasharanappa N., Gokuldas P.P., Rajkumar R. S., Mahajan G. R., Susitha R., Vishwanatha Reddy K., Sreekanth G. B., Paramesha V., Das B., Desai S., Chethan Kumar H. B., Mayekar T. and Nayak N. ICAR–CCARI, Old Goa, Goa, India. ISBN - 978-93-5406-829-4, pp: 1-288.Not AvailableNot Availabl
Customised customer support using a soft computing approach
No full textThis paper describes the research and development of a methodology to identify
the type of information required by the service advisor (CSA) within customer
contact centre (CCC) environment. Data was collected through case studies
carried out within five customer contact centres to derive the categories for
customers and advisors based on demographic, experience, business value and
behavioural attributes. We provide the methodology to develop a fuzzy expert
system which assigns a new customer or advisor to the predefined categories. The
authors have explained the steps which were followed for the development of the
fuzzy expert system. A prototype system has been designed and developed to
identify the type of customer and CSA based on the demographic, experience and
behavioural attributes. The authors illustrate analysis with real data, based on
the work with large scale customer contact centres. Validation of the
information requirement model was carried out at the contact centres
A Multi-Language Comparison of Influences on Author Verification using Character N-Grams
No full textWe create a new multi-language corpus for author verification based on Wikipedia talkpages, and evaluate the influence that differences in topic and time have on character n-gram author profiles. Topic alignment between two texts is found to increase author verification precision, and an authors writing style is found to change over time, but not more significantly after 3 years than after 1 year.Information ArchitectureWISElectrical Engineering, Mathematics and Computer Scienc
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
The vanishing author in computer-generated works: a critical analysis of recent Australian case law
No full textAbstract
The use of software is ubiquitous in the creation of many copyright works, yet the requirement in copyright law that every work have a human author who engages in independent intellectual effort means that its use may prevent copyright subsistence. Several recent Australian cases have refocused attention on authorship as an essential criterion of copyright subsistence, and these cases suggest that much computer-produced output may be authorless and thus lack copyright protection. This article, the first in a two-part series, analyses how each case deals with the question of authorship of computer-produced works and why the use of software diminishes copyright protection for a significant number of computer-generated works. The article critiques the application of conventional notions of human authorship developed in the pre-computer age to modern productions and suggests alternative approaches to authorship that satisfy both the major objectives of copyright policy and the need to adapt to the computer age. The article argues that, without a broader judicial approach to authorship of computer-generated works, Parliament must remedy the lacuna in protection for these ‘authorless’ works. Possible solutions for reform are suggested. In a forthcoming article, the author comprehensively examines those reform proposals
Inductive Pairwise Ranking: Going Beyond the n log(n) Barrier
No full textWe study the problem of ranking a set of items from nonactively chosen pairwise preferences where each item has feature information with it. We propose and characterize a very broad class of preference matrices giving rise to the Feature Low Rank (FLR) model, which subsumes several models ranging from the classic Bradley–Terry–Luce (BTL) (Bradley and Terry 1952) and Thurstone (Thurstone 1927) models to the recently proposed blade-chest (Chen and Joachims 2016) and generic low-rank preference (Rajkumar and Agarwal 2016) models. We use the technique of matrix completion in the presence of side information to develop the Inductive Pairwise Ranking (IPR) algorithm that provably learns a good ranking under the FLR model, in a sample-efficient manner. In practice, through systematic synthetic simulations, we confirm our theoretical findings regarding improvements in the sample complexity due to the use of feature information. Moreover, on popular real-world preference learning datasets, with as less as 10% sampling of the pairwise comparisons, our method recovers a good ranking
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