186,937 research outputs found
Decrease in gyrase A protein expression in _E. coli_ cells inhibited by antisense ribozymes
No full textRNase P complexed with external guide sequence (EGS) represents a novel nucleic-acid-based gene interference approach to modulate gene expression. Nucleic acid-based gene interference technologies represent promising strategies for specific inhibition of mRNA sequences of choice. Recently, small interfering RNAs have been implicated in inducing endogenous RNase of the RNA-induced silencing complex in the RNA interference pathway to inhibit gene expression and growth of several human viruses. We report down regulation of protein expression of _E. coli_ gyrase A, an essential gene for DNA supercoiling and antibiotic susceptibility in BL21 (DE3) strain of _E. coli_, using Ribonuclease P based external guide sequence (EGS) technique. EGS directed against gyrase A gene that was cloned into pUC vector, which contains the ampicillin (Amp) resistance gene. The recombinant plasmid pT7EGyrA was transformed into BL21 (DE3) and inductions were performed using IPTG. Western blot was done to investigate the downregulation of gyrase A protein. The results showed a significant decrease of gyrase A suggesting the utility of EGS RNAs in gene therapy applications, by inhibiting the expression of essential proteins
Effects of teaching games for understanding approach on students' learning outcomes / Malathi Balakrishnan
No full textThe present study investigated the effects of Teaching Games for Understanding (TGfU) approach on students’ learning outcomes. The study employed a quasi-experimental non-equivalent pretest-posttest control group design. Seventytwo (72) year four primary school physical education students from four intact classes were randomly assigned to an experimental group (n = 36) and a control group (n =
36). The experimental group students were exposed with TGfU approach and the control group students were with the Traditional Skill approach for handball game. The research was carried for six weeks in a primary physical education school setting. Research instruments used in this study were the Game Performance Assessment Instrument (GPAI) to measure students’ tactical understanding and decision making in 3 versus 3 game situations; Situational Motivational Scale Instrument to evaluate students’ motivation after the game session and 30 meter handball dribbling skill test to measure students’ skill performance. Reliability and validity of the instruments were assessed in the pilot study. Quantitative data were analyzed using Analysis of covariance (ANCOVA) and Mann-Whitney U test. Further focus group interview data
were transcribed, coded and analyzed with cross-case analysis. The major findings of this study revealed that there was a significant main effect of treatment on students’ learning outcome. ANCOVA analysis revealed that
there was significant main effect of TGfU approach on students’ cognitive learning outcome (F (1, 69) = 248.83, p < .05). Also it showed that there were significant main
effects of TGfU approach on students’ psychomotor learning outcome (F (1, 69) =37.44, p < .05). The Mann- Whitney U test result revealed students’ situational motivation was significant: U = 35.5, z = -6.95, p < .05. The TGfU approach group students had an average mean rank of 53.5 compared to traditional skill approach students’ average mean rank of 19.40. The result showed that the TGfU approach
enhances students’ situational motivation in handball game. The evidence gathered from the qualitative data showed that students with TGfU had better cognitive understanding in decision making and problem solving ability compared to students taught under the traditional skill approach.
The findings of this study have theoretical significance as well as pedagogical implications. In addition the findings of this study suggested the importance of TGfU approach to improve primary student’s tactical understanding and decision making in handball. This study also helps to inform a better physical education game learning approach for students and provide suggestion for future research using TGfU approach
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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
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
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
Dr. Edward P. Wimberly, ITC, July 2011
No full textThis video is a conversation with Dr. Edward P. Wimberly. Dr. Wimberly talks about his book, "No Shame in Wesley's Gospel: A Twenty-First Century Pastoral Gospel". Brad Ost, AUC Woodruff Library, is the interviewer
Author Rights and Scholarly Publishing
No full textOriginally posted at
http://blog.library.gsu.edu/2014/10/24/author-rights-and-scholarly-publishing/</p
Advances in proteomic technologies and their scope of application in understanding plant–pathogen interactions
No full textProteomics, one of the major tools of ‘omics’ is evolving phenomenally since the development and application
of two-dimensional gel electrophoresis coupled with mass spectrometry at the end of twentieth century. However,
the adoption and application of advanced proteomic technologies in understanding plant–pathogen interactions
are far less, when compared to their application in other related fields of systems biology. Hence, this review is
diligently focused on the advances in various proteomic approaches and their gamut of applications in different facets of phyto-pathoproteomics. Especially, the scope and application of proteomics in understanding fundamental concepts of plant–pathogen interactions such as identification of pathogenicity determinants (effector proteins), disease resistance proteins (resistance and pathogenesisrelated proteins) and their regulation by post-translational modifications have been portrayed. This review, for the first time, presents a critical appraisal of various proteomic applications by assessing all phyto-pathoproteomics-related research publications that were published in peer reviewed journals, during the period 2000–2016. This assessment has revealed the present status and contribution of proteomic applications in different categories of p phytopathoproteomics, namely, cellular components, host–pathogen interactions, model and non-model plants, and utilization of different proteomic approaches. Comprehensively, the analysis highlights the burgeoning application of global proteome approaches in various crop diseases, and demand for acceleration in deploying advanced proteomic technologies to thoroughly comprehend the intricacies of complex and rapidly evolving plant–pathogen interactions
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