179,490 research outputs found
Sphagneticola trilobata (L.) Pruski: an aromatic invasive agricultural weed abundant in alpha-pinene
No full textSphagneticola trilobata (L.) Pruski (Asteraceae) is an essential oil- bearing soil creeper, with ethnomedicinal claims. The chemical composition of the volatile metabolites of the leaves, stem, and flowers were analyzed by means of gas chromatography-mass spectrometry (GC-MS). A total of forty constituents were identified, accounting for 98.2-99.5% of the oils composition. The predominant compounds in the leaf oil were α-pinene (57.9%) and germacrene D (7.1%), while α-pinene characterized the stem (89.5%) and flower (95.8%) oils. S. trilobata is a natural rich source of α- pinene, and can be exploited for further useful benefit
Dataset for: Experimental Demonstration of Dual O+C-band WDM Transmission over 50-km SSMF with Direct Detection
No full textDataset supports the paper 'Yang Hong, Kyle R. H. Bottrill, Natsupa Taengnoi, Naresh K. Thipparapu, Yu Wang, Andrey A. Umnikov, Jayanta K. Sahu, David J. Richardson,and Periklis Petropoulos Experimental Demonstration of Dual O+C-band WDM Transmission over 50-km SSMF with Direct Detection IEEE/OSA Journal of Lightwave Technology. DOI 10.1109/JLT.2020.2964155
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Data for Experimental Demonstration of 50-Gb/s/λ O-band CWDM Direct-Detection Transmission over 100-km SMF
No full textThis dataset supports the publication:
Yang Hong, Natsupa Taengnoi, Kyle R. H. Bottrill, Naresh K. Thipparapu, Yu Wang, Jayanta K. Sahu, David J. Richardson and Periklis Petropoulos
Experimental Demonstration of 50-Gb/s/λ O-band CWDM Direct-Detection Transmission over 100-km SMF
Asia Communications and Photonics Conference 2021
https://doi.org/10.1364/ACPC.2021.W1B.2
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ML-assisted Equalization for 50-Gb/s/λ O-band CWDM Transmission over 100-km SMF
No full textThis dataset supports the publication:
Yang Hong, Stavros Deligiannidis, Natsupa Taengnoi, Kyle R. H. Bottrill, Naresh K. Thipparapu, Yu Wang, Jayanta K. Sahu, David J. Richardson, Charis Mesaritakis, Adonis Bogris, and Periklis Petropoulos
ML-assisted Equalization for 50 Gb/s/λ O-band CWDM Transmission over 100-km SMF
IEEE Journal of Selected Topics in Quantum Electronics
10.1109/JSTQE.2022.3155990</span
Transcriptomic responses to coaggregation between oral bacteria / Naresh V R Mutha
No full textCell-cell interactions between genetically distinct oral bacteria form macroscopic clumps known as coaggregates. These interactions, termed coaggregation contribute to the formation of highly structured multispecies communities in oral cavity, known as oral biofilms. Individual species also compete and collaborate with other neighboring species through metabolic interactions allowing growth of other species by coaggregation. This study involves the mixing of selected pairs of oral bacteria to form coaggregates and quantifying differential gene expression levels in each pair in comparison with mono-species coaggregation. The dual RNA-Seq approach made it possible to see how bacteria respond to one another leading to different metabolic interactions for each pairing in coaggregation. In this perspective, Streptococcus gordonii was coaggregated with selected oral bacteria. The aim was to analyze transcription data from separate pairings of Streptococcus gordonii with Fusobacterium nucleatum (first pair), Veillonella parvula (second pair) and Streptococcus oralis (third pair) to understand gene regulation mechanisms involved in coaggregation. The data analysis involved comparison of mRNA profiles in mono-species cultures vs coaggregates. Significant differentiallyexpressed genes and pathways in S. gordonii among all three bacterial pairings were compared to determine whether common mechanisms exist between oral bacterial coaggregates analyzed in this study. In the first pairing a total of 119 genes differentially expressed in S. gordonii following coaggregation with F. nucleatum whereas only 16 genes had shown differential expression in F. nucleatum. In both species, genes involved in amino acid and carbohydrate metabolism were strongly affected by coaggregation. In particular, one 8- gene operon in F. nucleatum encoding sialic acid uptake and catabolism was up regulated to 2-5 fold following coaggregation. In S. gordonii, a gene cluster encoding functions for phosphotransferase system-mediated uptake of lactose and galactose was down regulated up to 3-fold in response to coaggregation. In the second pairing a total of 272 genes differentially expressed in V. parvula, including 39 genes in oxidoreductases processes. In S. gordonii, there was a high degree of inter-sample variation. Nevertheless, 69 genes were identified as potentially regulated by coaggregation, including two phosphotransferase system transported and several other genes involved in carbohydrate metabolism. In third pairing a total of 22 genes in S. oralis and 72 genes in S. gordonii were regulated following coaggregation. A 6-gene operon encoding tryptophan in S. oralis was down regulated to 1.5-fold following coaggregation whereas mainly transporter genes in S. gordonii were up-regulated. A large cluster encoding transporters and two component (NisK/SpaK) regulatory system was upregulated to 2-4 folds in coaggregation
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
"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.
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
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