135,298 research outputs found

    (d) Mosquée d'Al-Ashraf Barsbāy

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    Riad Muhammad. (d) Mosquée d'Al-Ashraf Barsbāy. In: Comité de Conservation des Monuments de l'Art Arabe. Fascicule 38, exercice 1936-1940, 1944. pp. 273-274

    Auditor Characteristics and Their Impact on Information Asymmetry in R&D Intensive Firms

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    A Master of Science thesis in Accounting (MSA) by Shahad Melhem Abdulrahman Al Melhem entitled, “Auditor Characteristics and Their Impact on Information Asymmetry in R&D Intensive Firms”, submitted in April 2025. Thesis advisor is Dr. Ashraf Khallaf. Soft copy is available (Thesis, Approval Signatures, Completion Certificate, and AUS Archives Consent Form).School of Business AdministrationDepartment of AccountingMaster of Science in Accounting (MSA

    Optimal product and manufacturing process selection : issues of formation and methods for parameter design

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    Also issued as Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1991.Includes bibliographical references (p. 112-114).Supported in part by the Leaders for Manufacturing Program at MIT.by Ashraf Alkhairy

    MeSH term explosion and author rank improve expert recommendations

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    Information 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

    Īnāl al-Ajrūd, al-Malik al-Ashraf

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    Al-Malik al-Ashraf Sayf al-Dīn Abū l-Naṣr Īnāl b. ʿAbdallāh al-ʿAlāʾī al-Ẓāhirī al-Nāṣirī (b. c.784/1382, d. 15 Jumādā I 865/26 February 1461), known as al-Ajrūd (“the beardless”), was sultan of Mamlūk Egypt and Syria (r. 1 Rabīʿ I 857–14 Jumādā I 865/12 March 1453–25 February 1461), following a long career of military slavery and leadership, court service, and family entrepreneurship, in Egypt (Cairo) and in Syria (Gaza, Safed), southeastern Anatolia (Edessa), and the eastern Mediterranean (Cyprus, Rhodes)

    Automating the determination of wave speed using the pu-loop method

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    The PU-loop (pressure-velocity loop) is a method for determining wave speed and relies on the linear relationship between the pressure and velocity in the absence of reflected waves. This linearity of the PU-loop during early systole, which is directly related to wave speed, has always been established by eye. This paper presents a new technique that establishes this linearity and thus determining wave speed online. Pressure and flow were measured in the ascending aorta of 11 anesthetised dogs. The slope of the PU-loop, indicating wave speed was determined by eye and by using the new technique. The difference between the slopes of the two methods is in the order of 3%. The new technique is convenient and allows for the online assessment of wave speed, which could be used as a bedside tool for the assessment of arterial compliance

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    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

    "Closing the R&D Gap, Evaluating the Sources of R&D Spending"

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    Both 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.

    A. D. Fricke, author

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    Black and white photograph of author, A. D. Fricke

    Dispelling the Myths Behind First-author Citation Counts

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    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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