130,935 research outputs found
Digital Evidence: An Indian Perspective
No full textConference paper by Tejas D. Karia. Mr Karia, a Principal Associate with Amarchand & Mangaldas & Suresh A. Shroff & Co, Advocates & Solicitors, New Delhi, India obtained his LLB from ILS Law College, Pune (2000), and LLM from Gujarat University, India (2002) and the LSE, London (2003). He specializes in international commercial arbitration and IT law
Digital Evidence: An Indian Perspective
No full textConference paper by Tejas D. Karia. Mr Karia, a Principal Associate with Amarchand & Mangaldas & Suresh A. Shroff & Co, Advocates & Solicitors, New Delhi, India obtained his LLB from ILS Law College, Pune (2000), and LLM from Gujarat University, India (2002) and the LSE, London (2003). He specializes in international commercial arbitration and IT law
HOMBRE SECANDO TEJAS [Material gráfico]
No full textEN LA IMAGEN D. ALFREDO MELIÁN MARRERO, MARIDO DE ANA FALCÓN FELIPE (ALUMNA DE LA CASA TALLER DE MOYA) SECANDO TEJAS JUNTO AL CAMPO DE FÚTBOL DE MOYACopia digital. Madrid : Ministerio de Educación, Cultura y Deporte. Subdirección General de Coordinación Bibliotecaria, 201
MeSH term explosion and author rank improve expert recommendations
No full textInformation overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Prevalence of MDR-XDR TB at a tertiary care hospital in Pune, India: 2015-2016 a retrospective study
No full textThe tuberculosis (TB) epidemic is one of the biggest public health challenges in the world today. One of the top 10 causes of death worldwide, TB has caused an estimated 1.4 million deaths in 2015. Recently, the emergence of multi-drug resistant tuberculosis (MDR-TB) and extensively drug-resistant (XDR-TB) has alarmed public health officials, as it significantly hampers effective TB control. MDR and XDR-TB cases present a significant infectious disease burden in developing countries as they require a substantially longer time to treat than drug-susceptible TB. Furthermore, they entail the need for second-line injectable anti-TB drugs, which are more expensive, have more severe side-effects and require a more intense regimen of patient observation. The World Health Organization (WHO) in 2015 estimated that out of 1,740,435 notified cases in India, 28 876 were MDR/RR-TB and 3 048 were XDR-TB, representing a significant global burden of drug resistant TB. This problem is further compounded by the paucity of TB monitoring in large tertiary care hospitals in India where most patients go to seek treatment. A study was carried out to examine prevalence of drug resistance amongst all TB cases presented to a large urban tertiary care hospital in Pune, India, to document patterns in first-and second-line drug susceptibility for suspected MDR and XDR cases and inspect drug resistance in the two clinical manifestations of TB: pulmonary and extra pulmonary. The retrospective analysis showed a high prevalence of MDR and XDR in confirmed cases (41%), with XDR-TB taking up a larger proportion (59%). No monoresistant cases were observed in the data set analyzed. INH+RIF+EMB+SM had the largest proportion (41%) of first-line drug resistance in suspected MDR-TB cases. The highest proportion of resistance to second-line drugs was seen in FQ+Amk (50%). Lastly, pulmonary TB (PTB) was more prevalent than Extrapulmonary TB (EPTB); though XDR-TB was more prevalent in EPTB; correlating with global patterns of resistance
"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.
FIGURE 2 in Two more new species of Cnemaspis Strauch, 1887 (Squamata: Gekkonidae) from the northern Western Ghats, Maharashtra, India
No full textFIGURE 2. Cnemaspis koynaensis sp. nov. (holotype, NCBS-BH685): (A) dorsal view of body, (B) ventral view of body, (C) dorsal view of tail, and (D) ventral view of tail. Scale bars 10 mm.Published as part of Khandekar, Akshay, Thackeray, Tejas & Agarwal, Ishan, 2019, Two more new species of Cnemaspis Strauch, 1887 (Squamata: Gekkonidae) from the northern Western Ghats, Maharashtra, India, pp. 43-70 in Zootaxa 4656 (1) on page 48, DOI: 10.11646/zootaxa.4656.1.2, http://zenodo.org/record/336668
Dispelling the Myths Behind First-author Citation Counts
No full textWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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