1,721,556 research outputs found
Aloe trinervis sp. nov.: A new succulent species from Indian Desert (Asphodelaceae)
No full textKumar, Suresh, Purohit, C.S., Kulloli, Ravikiran N. (2020): Aloe trinervis sp. nov.: A new succulent species from Indian Desert (Asphodelaceae). Journal of Asia-Pacific Biodiversity 13 (2): 325-330, DOI: 10.1016/j.japb.2020.03.001, URL: http://dx.doi.org/10.1016/j.japb.2020.03.00
Figure 1 in Aloe trinervis sp. nov.: A new succulent species from Indian Desert (Asphodelaceae)
No full textFigure 1. Map showing occurrence of Aloe trinervis in the Indian desert.Published as part of Kumar, Suresh, Purohit, C.S. & Kulloli, Ravikiran N., 2020, Aloe trinervis sp. nov.: A new succulent species from Indian Desert (Asphodelaceae), pp. 325-330 in Journal of Asia-Pacific Biodiversity 13 (2) on page 326, DOI: 10.1016/j.japb.2020.03.001, http://zenodo.org/record/439579
Editorial: Novel cancer treatments based on autophagy modulation
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An evaluation of author productivity in artificial neural networks research in India during 1991-2014
No full textThe study examines the conformity of Lotka’s law to authorship distribution in the field of Artificial Neural Networks research (ANNs) in India during 1991–2014 using Science Citation Index-Expanded. There were 3411 articles contributed by 5654 unique authors. Lotka’s law was tested using methodology suggested by Pao and compared with maximum likelihood method advocated by Nicholls. The main elements involved in fitting in Lotka’s law were identified. These includes criterion for taking a certain pair of observed data points for calculating Lotka’s gradient, the constant for measurement of single author productivity and assessing goodness-of-fit. The results suggested that author productivity distribution, predicted by the modified Lotka’s Law suggested by Pao, was confirmed to the ANNs discipline in India whereas methodology suggested by Nicholls was not able to explain the author productivity distribution for the same. Evaluation of the prolific authors indicated that most of them are among the top position in their respective institutions. However, they were not listed as first author in their publications supporting that all the authors should be considered while analysing author productivity
"But we’re already doing it!" Examining conceptual blurring between health promotion and palliative care
No full textOver the past decade, an increasing number of palliative care service providers have attempted to integrate health promotion into their organisational practice. A key factor in the success of this endeavour has been the recognition by these providers of the conceptual ‘fit’ between two seemingly disparate approaches to health care. When informed of the elements of health promotion, palliative care professionals have expressed their recognition in their declaration: ‘But we’re already doing it!’ (Rosenberg 2007).\ud
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Yet it appears that this association between the two suggests that health promotion in palliative care organisations is being understood in poorly defined ways. ‘Health promotion’ can be incorrectly assumed to be synonymous with ‘health education’; ‘death education’ can be understood to be synonymous with providing information about palliative care resources. Whilst these activities may be worthwhile within themselves, their presence in the activities of an organisation does not constitute the practice of health promoting palliative care (HPPC) (Kellehear 1999)..
Author productivity in the field of Human Computer Interaction (HCI) research
No full text273-285The study analyses the distribution of
productivity of authors in the field of HCI research as reflected in their
publication output from Science Citation Index-Expanded for 2006 to 2011. The
purpose of this study is to test Lotka’s law of author productivity using the
methodology outlined by Pao (1985) and compare it with the modifications
suggested by Nicholls (1987). A data set of 63137 articles is studied. Author
productivity data is disaggregated into 21 data sets, one each for top 20
countries beside the world data set. The values of Lotka’s exponent and
constant are calculated by both
linear least square method and maximum likelihood method. The K-S
goodness-of-fit test is conducted at the 0.10 level of significance. There is
not much difference observed in the distribution of publications and the
distribution obtained using Pao’s procedure and modifications suggested by
Nicholls. This study finds that literature in the field of HCI research studies
does conform to Lotka’s law with reliable results for 18 out of 21 data sets.
So, Lotka’s law can be used in HCI research as a standardized means of
measuring author publication productivity.
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Author productivity in the field Human Computer Interaction (HCI) research
Full text linkThe study analyses the distribution of productivity of authors in the field of HCI research as reflected in their publication output from Science Citation Index-Expanded for 2006 to 2011. The purpose of this study is to test Lotka’s law of author productivity using the methodology outlined by Pao (1985) and compare it with the modifications suggested by Nicholls (1987). A data set of 63137 articles is studied. Author productivity data is disaggregated into 21 data sets, one each for top 20 countries beside the world data set. The values of Lotka’s exponent and constant are calculated by both linear least square method and maximum likelihood method. The K-S goodness-of-fit test is conducted at the 0.10 level of significance. There is not much difference observed in the distribution of publications and the distribution obtained using Pao’s procedure and modifications suggested by Nicholls. This study finds that literature in the field of HCI research studies does conform to Lotka’s law with reliable results for 18 out of 21 data sets. So, Lotka’s law can be used in HCI research as a standardized means of measuring author publication productivity
High Strain Rate Behavior of Stir Cast Hybrid Al-Si Matrix Composites Using Split Hopkinson Pressure Bar
No full textAluminum alloy based metal matrix composites are widely used in different engineering applications that are subjected to dynamic loading conditions. In the present study, aluminum alloy Al-Si7Cu3Mn0.5(LM27) composites are manufactured by a stir casting route with two different weight percentages and different size of SiC and TiO2. The reinforcement particles of 15 μm and 115 μm sizes are reinforced in a concentration of 3wt. % and 12wt. %. Split Hopkinson pressure bar is used to evaluate dynamic compressive behavior of the composites at the strain rate of 700, 1500 and 2500 s−1. Microstrucutral examination of fine size reinforced composites exhibited the formation of globular silicon that is arranged around the particles. Micro-hardness of the particle–matrix interface of the fine particle reinforced composite is higher in comparison to composite reinforced with coarse particles. At the strain rate of 700 s−1, at higher concentration of reinforcement particles the fine particles reinforced composites exhibit maximum strength whereas lower concentration of fine particle reinforced composite showed the maximum strain. Strain sensitivity is exhibited by all the composites and strength shows an increasing trend with an increase in the strain rate. The fine particles reinforced composites exhibited maximum flow stress at higher weight percent of reinforcement particles whereas maximum strain is found at lower weight percent of fine particles. The dynamic compressive behavior of composite is found dependent on the degradation of elastic modulus, stress localization phenomena and debonding characteristics
A comparison study of structural wind tunnel tests and code-based approaches in evaluating wind loads on tall buildings
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