178,438 research outputs found
A new species of Asphondylia (Diptera: Cecidomyiidae) causing leaf galls on jujube, Ziziphus jujuba Mill. (Rhamnaceae) in India
No full textVasanthakumar, Duraikannu, Palanisamy, Senthilkumar, Peter, Vinny R., Sharma, Radheshyam M. (2020): A new species of Asphondylia (Diptera: Cecidomyiidae) causing leaf galls on jujube, Ziziphus jujuba Mill. (Rhamnaceae) in India. Zootaxa 4758 (1): 196-200, DOI: https://doi.org/10.11646/zootaxa.4758.1.1
Emergence of a common generalized synchronization manifold in network motifs of structurally different time-delay systems
Full text linkR. Suresh and D. V. Senthilkumar acknowledges the support from SERB-DST Fast Track scheme for Young Scientists. M. Lakshmanan (M. L.) has been supported by the DST, Government of India sponsored IRHPA research project. M. L. has also been supported by a DAE Raja Ramanna Fellowship.Peer reviewe
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe 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
Statistical Measures to Test the Stability of Face Recognition Approach: Duplicating Human Faces based on Cross-correlation Study
No full textThis literature work suggests a novel approach for rearranging train set developed by us. The rearrangement of train set is based on cross-correlation study of facial images of individual subjects. The new approach, tried five factual human face acknowledgment techniques with standard and Senthilkumar, face databases. Further, the stability of our proposed method tested with different statistical measures such as rank, kurtosis, mean, median, mode and skewness using large face database FERET. The experimental results show that, our approach of rearranging train sets certainly improves recognition accuracy compared to traditional approaches
"Closing the R&D Gap, Evaluating the Sources of R&D Spending"
Full text linkBoth 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.
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
FIGURES 1–10 in A new species of Asphondylia (Diptera: Cecidomyiidae) causing leaf galls on jujube, Ziziphus jujuba Mill. (Rhamnaceae) in India
No full textFIGURES 1–10. Asphondylia singanallurensis Vasanthakumar & Sharma, sp. nov. 1, male head (frontal). 2, male, 5th flagellomere. 3, female, 5th flagellomere. 4, first tarsomere 5, male abdominal segments (lateral). 6, female abdominal segments (lateral). 7, last tarsomere with claw and empodium. 8, pupal abdominal segments (dorsal). 9, larva, prothoracic spatula with adjacent papillae. 10, male terminalia (dorsal). Scale bars=100 μm 1,5,6,8; 50 μm 2,3,7,9,10; 20 μm 4Published as part of Vasanthakumar, Duraikannu, Palanisamy, Senthilkumar, Peter, Vinny R. & Sharma, Radheshyam M., 2020, A new species of Asphondylia (Diptera: Cecidomyiidae) causing leaf galls on jujube, Ziziphus jujuba Mill. (Rhamnaceae) in India, pp. 196-200 in Zootaxa 4758 (1) on page 197, DOI: 10.11646/zootaxa.4758.1.11, http://zenodo.org/record/373078
Genetically pyramiding protease-inhibitor genes for dual broad-spectrum resistance against insect and phytopathogens in transgenic tobacco
No full textFIGURES 11–22. 11, wing. 12, male flagellomere 10–12. 13, female flagellomere 10–12. 14 in A new species of Asphondylia (Diptera: Cecidomyiidae) causing leaf galls on jujube, Ziziphus jujuba Mill. (Rhamnaceae) in India
No full textFIGURES 11–22. 11, wing. 12, male flagellomere 10–12. 13, female flagellomere 10–12. 14, pupa, antennal horns 15, pupa, prothoracic spiracle. 16.pupa (dorsal). 17, Anterior part of pupa (ventral). 18, exit hole with pupal exuviae. 19, gall (dissected). 20, leaf gall. 21, gall (upper side). 22, gall (lower side). Scale bars=100 μm 11, 14; 50 μm 15; 500 μm 16.Published as part of Vasanthakumar, Duraikannu, Palanisamy, Senthilkumar, Peter, Vinny R. & Sharma, Radheshyam M., 2020, A new species of Asphondylia (Diptera: Cecidomyiidae) causing leaf galls on jujube, Ziziphus jujuba Mill. (Rhamnaceae) in India, pp. 196-200 in Zootaxa 4758 (1) on page 199, DOI: 10.11646/zootaxa.4758.1.11, http://zenodo.org/record/373078
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