131,255 research outputs found
Attribution Analysis Tool
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The attribution analysis spreadsheet is developed based on the model discussed in the Center for Real Estate and Finance at Cornell report called Measuring the Value Added of Hotel REIT Managers Using MSA Benchmarks: A Return-Based Attribution Analysis Approach by Walter I. Boudry, Crocker H. Liu, and Andrey D. Ukhov.
Attribution analysis also known as style analysis allows investors and managers to assess the extent to which managers add value to their firm’s common stock returns. Given a set of passive indices, the excel worksheet constructs a benchmark portfolio that most closely replicates the actual performance of a manager’s portfolio over a specified time period. Management performance is then measured relative to this benchmark portfolio. For more detailed information on how attribution analysis is used with respect to the performance of real estate commingled real estate funds to ascertain if a manager possesses skill or is simply lucky in his or her acquisitions, please see the NCREIF. For a useful publication on how it is used in practice, please click here.
Measurement of D production in diffractive deep inelastic scattering at HERA D ∗ production in diffractive deep inelastic scattering at HERA
No full textMeasurements of D∗ (2010) meson production in diffractive deep inelastic scattering (5 < Q2 < 100 GeV2) are presented which are based on HERA data recorded at a centre-of-mass energy √ s = 319 GeV with an integrated luminosity of 287 pb−1. The reaction ep → eXY is studied, where the system X, containing at least one D∗ (2010) meson, is separated from a leading low-mass proton dissociative system Y by a large rapidity gap. The kinematics of D∗ candidates are reconstructed in the D∗ → Kππ decay channel. The measured cross sections compare favourably with next-to-leading order QCD predictions, where charm quarks are produced via boson-gluon fusion. The charm quarks are then independently fragmented to the D∗ mesons. The calculations rely on the collinear factorisation theorem and are based on diffractive parton densities previously obtained by H1 from fits to inclusive diffractive cross sections. The data are further used to determine the diffractive to inclusive D∗ production ratio in deep inelastic scatterin
MeSH term explosion and author rank improve expert recommendations
No full textInformation overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank
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
"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.
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
Scholarly Communication and Publishing Lunch and Learn Talk #11: The ULS Open Access Author Fee Fund
No full textAt the May 2014 talk, you will learn about the ULS Open Access Author Fee Fund--what it is, why we do it, how it works, and how the program is going so far
Laying foundations for effective machine learning in law enforcement. Majura – A labelling schema for child exploitation materials
No full textThe health impacts of repeated exposure to distressing concepts such as child exploitation materials (CEM, aka ‘child pornography’) have become a major concern to law enforcement agencies and associated entities. Existing methods for ‘flagging’ materials largely rely upon prior knowledge, whilst predictive methods are unreliable, particularly when compared with equivalent tools used for detecting ‘lawful’ pornography. In this paper we detail the design and implementation of a deep-learning based CEM classifier, leveraging existing pornography detection methods to overcome infrastructure and corpora limitations in this field. Specifically, we further existing research through direct access to numerous contemporary, real-world, annotated cases taken from Australian Federal Police holdings, demonstrating the dangers of overfitting due to the influence of individual users’ proclivities. We quantify the performance of skin tone analysis in CEM cases, showing it to be of limited use. We assess the performance of our classifier and show it to be sufficient for use in forensic triage and ‘early warning’ of CEM, but of limited efficacy for categorising against existing scales for measuring child abuse severity. We identify limitations currently faced by researchers and practitioners in this field, whose restricted access to training material is exacerbated by inconsistent and unsuitable annotation schemas. Whilst adequate for their intended use, we show existing schemas to be unsuitable for training machine learning (ML) models, and introduce a new, flexible, objective, and tested annotation schema specifically designed for cross-jurisdictional collaborative use. This work, combined with a world-first ‘illicit data airlock’ project currently under construction, has the potential to bring a ‘ground truth’ dataset and processing facilities to researchers worldwide without compromising quality, safety, ethics and legality
The supplementation of a corn/barley-based diet with bacterial xylanase did not prevent diarrhoea of ETEC susceptible piglets, but favoured the persistence of Lactobacillus reuteri in the gut
No full textExogenous enzymes can favour the release of shorter polymers of the dietary fibre, favouring the development of a beneficial digestive microflora. The addition of bacterial xylanase to a weaner pig diet was tested for its impact on the intestinal microbiota and digestive homeostasis. Thirty-two pigs genetically susceptible to enterotoxigenic Escherichia coli (ETEC), equally divided into two experimental groups, were used to increase the risk of diarrhoea and test the response of xylanase under conditions representing those severe situations which are frequently present on farms. Pigs, weaned at 25 ± 1 days, were fed a corn/barley standard diet without (Group CO) or with (Group XY) 100 g/t xylanase from BELFEED NV, Belgium. Blood samples (for measuring the reactive oxygen metabolites) and faeces were taken 14 and 28 days from the beginning of the trial. On day 28, the pigs were euthanised and jejunal samples were collected.The faecal bacteria16S rRNA gene was sequenced using a MiSeq Reagent Kit V3-V4 on a MiSeq-Illumina platform. The pigs had diffuse diarrhoea starting from day 4. On the morning of day 8 and for the two following days, all the pigs were treated with Enrofloxacin intramuscularly. The efficacy of the Enrofloxacin was confirmed using the ETEC F18 growth inhibition test. Four animals in each treatment group died or were suppressed to reduce pain. The diet did not change growth, the faecal score or the reactive oxygen metabolites in the blood. The XY treatment trended to increase villus length in the jejunum (p = 0.066). The operational taxonomic unit (OTU) distribution was fairly homogeneous, the microbial diversity indices were not changed by the treatment, and the per phylum abundances were homogenous among the diets and were dominated by Bacteroidetes and Firmicutes. The beneficial xylose-fermenting Lactobacillus reuteri persisted after weaning in the XY treatment group (P < 0.05). The Beta Diversity was clusterised for the time of sampling (P = 0.003). The supplementation with xylanase did not improve growth or protection against ETEC, but the effect on some beneficial bacteria species is merits additional study
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