1,721,067 research outputs found
Knowledge Graphs, Automatic Feature Engineering and Machine Learning in Algorithmic Trading for Financial Markets
Full text linkThesis consists of novel ideas and practical implementations 1.Automatic
Features extractions using knowledge graph, proceeds new dataset with Au-
toML and Standard Machine Learning Pipeline for prediction. These new
features enhance the predictive power of Machine Learning Algorithms to
improve the accuracy. 2.Realtime price prediction of Cryptocurrency using
ML algorithms. Existing Studies only predict the price of Cryptocurrency
for static datasets. The proposed AI signal Machine predicts price of BTC
for four timeframes of 1Minute,3 Minute ,5 Minute and 15 Minute simulta-
neously.3.Developed AI Automated Trading Algorithm which can be used
for trading any instrument like Gold, Stock not limited to crypto currency.
The algorithm is based on Feature Engineering, the features extracted using
Automatic Features Engineering using knowledge graph
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
Variations on the Author
Full text link“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
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
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe 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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Development of tools to target antigen through mannose receptor
Full text linkDendritic cells (DC) are unique antigen presenting cells which play a major role in antigen presentation and initiation of the immune response by regulating B- and T- cell activation. Antigen targeting to DC receptors is an effective, safe and specific method for vaccine development. The mannose receptor (MR) is an endocytic receptor expressed by subpopulations of DC and antigen targeting through MR leads to enhanced antigen uptake and presentation to T -cells. This makes MR a favourite receptor for the development of vaccines against diseases that require T-cell immunity such as cancer and viral infections. This project sought to develop tools to target antigens through MR and investigate their ability to induce T-cells activation in vitro and in vivo. We have used three approaches to deliver antigen through MR; (i) MRspecific mAbs: 503 and 6C3, have been chemically linked to the melanoma epitope TRP-2, (ii) MR-specific chimeric antibodies carrying several model antigens have been generated by using genetic engineering and (iii) Glycopolymers and the suitable antigens such as a shorter version of model antigen ovalbumin (OVA), with and without N-glycosylation sites have been generated and characterised. Glycopolymer-OVA conjugates were prepared by chemical coupling but it requires further optimization. The binding efficiency of anti-MR antibodies has been assessed using ELISA and BIACORE and the glycopolymers have been tested for their interaction with MR. Immunisations were performed with anti-MR mAb-TRP2 conjugates which induced TRP-2 specific COS+ T-cells activation and improved humoral response. Due to limitations in this approach in terms of chemical coupling being an inefficient method and the potential involvement of Fc recetors (FcRs), chimeric Abs fused to model antigens and bearing mutated Fc were generated. These chimeric Abs, have been tested for their ability to induce T-cell activation in vitro and in vivo. But the progress has been hampered due to the labile nature of these reagents. In future, anti-MR chimeric Abs will be used to generate anti-MR single chain antibodies carrying OVA (ScFv-OVA) and the glycopolymer project will be taken up Dr. Manovani Giuseppe (School of Pharmacy, University of Nottingham). It will involve further optimization of chemical coupling of glycopolymers to a-glycosylated OVA-mini protein, and the in vitro Ag presentation assay to investigate whether glycopolymers mediated Ag targeting of APe enhance T-cells activation. These further studies would greatly benefit the understanding of the mechanisms associated with the elicitation of immune resposes as a result of Ag targeting through MR. Anti-MR reagents generated in this study along with appropriate adjuvant could be exploited to target malarial, cancerous and viral Ags for robust T-cell activation against these infectious diseases. On the other hand, the role of MR in homeostasis and allergy has been already established, and the anti-MR reagents generated in this study can be used to target allergens and self-Ags to APes in an attempt to induce tolerance.EThOS - Electronic Theses Online ServiceGBUnited Kingdo
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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