1,722,546 research outputs found
Reimagining and Relocating Gorkhas: A Postcolonial Glimpse in Frontier, a Short Story by Shiv Kumar Rai
This paper contains the Postcolonial approach to Frontier, a short story by Shiv Kumar Rai. The story Frontier contains some limited aspects of Postcolonialism and the process of psychological indoctrination can be seen as disillusionment. During the colonial rule of India, the Gorkhas fought many wars under British Rule. Therefore, the paper analyses how, in the name of "promotion," "bravery" and "medals," the Gorkha soldiers have been used by the colonizer in the war. It shows how they have realized a need to search for their identity and relocate their place; this realization is a spark that emerges from the breakdown of this colonial illusion and dismantles the colonial indoctrination. This paper also presents a glimpse of the history of Darjeeling, the colonial influence on the Indian Gorkhas, and the process of deconstruction of the Gorkhas' illusion of war and bravery
Genomic prediction for heat and herbicide tolerance in faba bean
Genomic selection (GS) has potential to accelerate the genetic gain in crop plants. This study was undertaken to assess the accuracy and potential of GS in faba bean [Vicia faba (L.)] and to enhance its application in breeding programs. A set of 118 diverse faba bean accessions were phenotyped for key agronomic traits under herbicide and heat stress across 16 environments in Morocco, Lebanon, Sudan, and the United States. These accessions were genotyped, revealing 170 single nucleotide polymorphisms (SNPs) strongly associated with target traits. kompetitive allele-specific PCR (KASP) markers were subsequently designed and validated on 4512 diverse breeding lines. Prediction accuracy (PA) was assessed using the reproducing kernel Hilbert space model, with and without genotype-by-environment interactions and taking into consideration two cross-validation (CV) strategies: CV1 (predicting new lines) and CV2 (predicting complete records from unbalanced data). Additionally, 75 KASP markers with known association with heat tolerance traits were prioritized to estimate the PA of the models. The results showed a comparable PA between the two models, with CV1 outperforming CV2. This highlighted the difficulty in predicting the performance of untested lines in tested environments compared to lines evaluated in some environments but not others. Moreover, SNP subset size and composition significantly impacted PA, especially under heat stress. The highest accuracies were observed for days to flowering and plant height under heat stress and for plant height and grain yield under herbicide environments, indicating that these traits are ideal for training population selection. Optimizing the size and composition of the training population will enhance the effectiveness of GS in faba bean breeding
sj-docx-1-ijl-10.1177_15347346241227530 - Supplemental material for Effectiveness of Stem Cell Therapy for Diabetic Foot Ulcers: A Systematic Review and GRADE Compliant Bootstrapped Meta-Analysis of Randomized Clinical Trials
Supplemental material, sj-docx-1-ijl-10.1177_15347346241227530 for Effectiveness of Stem Cell Therapy for Diabetic Foot Ulcers: A Systematic Review and GRADE Compliant Bootstrapped Meta-Analysis of Randomized Clinical Trials by Shiv Kumar Mudgal, Subodh Kumar, Rakhi Gaur, Harminder Singh, Dibyajyoti Saikia, Saurabh Varshney, Pratima Gupta, Ashoo Grover and Seshadri Reddy Varikasuvu in The International Journal of Lower Extremity Wounds</p
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We 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
We 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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