3,178 research outputs found
Impact measures for libraries and information services
PURPOSE - To demonstrate the importance of impact / outcome research in libraries.
DESIGN/METHODOLOGY/APPROACH - The paper gives an overview of purposes and methods used in impact research and illustrates this through project experiences.
FINDINGS - Various projects worldwide are trying to prove that use of library services can positively influence skills and competences, attitudes and behaviour of users. The benefits that users experience by using library services can be assessed in terms of knowledge gained, higher information literacy, higher academic or professional success, social inclusion, and increase in individual well-being.
RESEARCH LIMITATIONS/IMPLICATIONS - The main problem of impact research is, that influences on an individual are manifold and that therefore it is difficult to trace changes and improvements back to the library. The paper shows methods that are tested and used at the present. More investigation is needed to identify methods that could be used to show a library’s overall impact or to develop measures that would permit benchmarking between institutions.
PRACTICAL IMPLICATIONS - The paper shows practical examples of impact assessment, covering “soft” methods like surveys, interviews, focus groups, observation and quantitative methods like tests, analysis of publications, or usage data.
ORIGINALITY/VALUE - The paper acquaints libraries with a topic that is not yet well known and, by showing practical examples, demonstrates how libraries can attempt to assess their impact
Comparison of co-located laser and metal oxide continuous monitoring systems
Accurate measurement of methane (CH4) concentrations on oil and gas sites is essential for accurate estimates of methane emission rates via inversion algorithms. Different types of continuous monitoring sensors are offered as commercial solutions, with varying accuracy. In this paper we compare data from co-located Metal Oxide (MOx) and Laser Spectroscopy (LS) sensors on a midstream oil and gas site, with the goal of quantifying the differences in raw concentration measurements between the two technologies. We first analyze the impact of meteorological variables on the difference between MOx and LS concentrations measurements taken at the same time and location, finding that temperatures from 30 to 70 degrees Fahrenheit and higher humidity contribute to larger concentration differences on average. Further, analysis of enhanced methane concentrations (likely from emissions on the site) recorded by both sets of sensors reveals that the LS sensors consistently record larger methane concentrations during these periods. This difference means that when using concentration measurements from both sensor technologies in inversion algorithms to estimate emission rates, using MOx sensor data would likely lead to underestimating emission rates, although we did not test this explicitly in this report
Measuring the impact of higher education libraries: the LIRG/SCONUL Impact Implementation Initiative
The Library and Information Research Group (LIRG) and the Society of College, National, and University Libraries (SCONUL) are working together on a joint initiative looking at the impact of higher education libraries on learning, teaching, and research. Twenty-two libraries have been involved in assessing the impact of particular services or new innovations in their institutions. This article considers why measuring impact is important, describes the background to the Impact Initiative and what led to it being set up, identifies the institutions that are involved and their chosen topics, outlines what is involved for the participating institutions, and reviews progress to date
Library performance measurement in the digital age
Book synopsis: University libraries around the world have embraced the possibilities of the digital learning environment, facilitating its use and proactively seeking to develop the provision of electronic resources and services. The digital environment offers opportunities and challenges for librarians in all aspects of their work - in information literacy, virtual reference, institutional repositories, e-learning, managing digital resources and social media. The authors in this timely book are leading experts in the field of library and information management, and are at the forefront of change in their respective institutions. University Libraries and Digital Learning Environments will be invaluable for all those involved in managing libraries or learning services, whether acquiring electronic resources or developing and delivering services in digital environments
Introduction
This introduction outlines the aims and themes of this volume. We discuss the central position of notation in the foundations of music scholarship as well as the various moves towards disciplinary innovation since the late twentieth century that have challenged it. We argue that the study of notation as material culture, understood in a broad sense in the wake of recent arguments for a general ‘material turn’, provides a fruitful way to attend to musical practices of reading and writing while avoiding a traditional work-based ideology. We connect this materialist approach to notation to recent developments in the study of musical instruments while also identifying precursors in the study of early music as well as the ethnomusicological study of non-western forms of notation. We conclude by outlining four important themes in the study of notation as material culture that also form the four parts of the volume: epistemology, embodiment, social relations, and technology
The LIRG/SCONUL Impact Initiative: assessing the impact of HE libraries on learning, teaching, and research
The LIRG/SCONUL Impact Initiative took place between July 2003 and December 2005. Twenty-two higher education institutions in the UK attempted to measure the impact of their services on learning, teaching, and research. Within the context of the programme, each institution investigated the impact of a new innovation. This paper provides a final overview of the two phases of the Impact Initiative and highlights some of the findings. Measuring impact is not easy but there are significant benefits for the profile and development of academic libraries in trying to do so. It provides guidance for libraries on assessing impact drawing upon the experience of the Impact Initiative
Author Attributions in Medieval Text Collections: An Exploration
This article examines the role and function of author attributions in multi-text manuscripts containing Dutch, English, French or German short verse narratives. The findings represent one strand of the investigations undertaken by the cross-European project ‘The Dynamics of the Medieval Manuscript’, which analysed the dissemination of short verse narratives and the principles of organisation underlying the compilation of text collections. Whilst short verse narratives are more commonly disseminated anonymously, there are manuscripts in which authorship is repeatedly attributed to a text or corpus. Through six case studies, this article explores medieval concepts of authorship and how they relate to constructions of authority, whether regarding an empirical figure or a literary construction. In addition, it looks at how authorship plays a role in manuscript compilation, and at the effects of attributions (by author and/or compiler) on reception. The case studies include manuscripts from the thirteenth to fifteenth centuries, produced in a range of social and cultural contexts, and featuring some of the most important European authors of short verse narratives: Rutebeuf, Baudouin de Condé, Der Striker, Konrad von Würzberg, Willem of Hildegaersberch, and Geoffrey Chaucer. The preliminary findings contribute to our understanding of author attributions in text collections from across northern Europe and point towards future lines of enquiry into the role of authorship in medieval textual dissemination
Batch Bayesian Learning of Large-Scale LS-SVMs Based on Low-rank Tensor Networks
Least Squares Support Vector Machines (LS-SVMs) are state-of-the-art learning algorithms that have been widely used for pattern recognition. The solution for an LS-SVM is found by solving a system of linear equations, which involves the computational complexity of O(N^3). When datasets get larger, solving LS-SVM problems with standard methods becomes burdensome or even unfeasible. The Tensor Train (TT) decomposition provides an approach to representing data in highly compressed formats without loss of accuracy. By converting vectors and matrices in the TT format, the storage and computational requirements can be greatly reduced. In this thesis, we develop a Bayesian learning method in the TT format to solve large-scale LS-SVM problems, which involves the computation of a matrix inverse. This method allows us to include the information we know about the model parameters in the prior distribution. As a result, we are able to obtain a probability distribution of the parameters, which enables us to construct confidence levels of the predictions. In the numerical experiment, we show that the developed method performs competitively with the current methods.Mechanical Engineering | Systems and Contro
Additive Manufacturing: Polymers Applicable for Laser Sintering (LS)
AbstractAdditive Manufacturing (AM) is close to become a production technique changing the way of part fabrication in future. Enhanced complexity and personalized features are aimed. The expectations in AM for the future are enormous and betimes it is considered as kind of the next industrial revolution. Laser Sintering (LS) of polymer powders is one component of the AM production techniques. However materials successfully applicable to Laser Sintering (LS) are very limited today. The presentation picks up this topic and gives a short introduction on the material available today. Important factors of polymer powders, their significance for effective LS processing and analytical approaches to access those values are presented in the main part. Concurrently the exceptional position of polyamide 12 powders is this connection is outlined
The Social Cost-of-Living: Welfare Foundations and Estimation
We present a new class of social cost-of-living indices and a nonparametric framework for estimating these and other social cost-of- living indices. Common social cost-of-living indices can be understood as aggregator functions of approximations of individual cost-of-living indices. The Consumer Price Index (CPI) is the expenditure-weighted average of first-order approximations of each individual’s cost-of-living index. This is troubling for three reasons. First, it has not been shown to have a welfare economic foundation for the case where agents are heterogeneous (as they clearly are.) Second, it uses an expenditure-weighted average which downweights the experience of poor households relative to rich households. Finally, it uses only first-order approximations of each individual’s cost-of-living index, and thus ignores substitution effects. We propose a “common-scaling” social cost-of-living index, which is defined as the single scaling to everyone’s expenditure which holds social welfare constant across a price change. Our approach has an explicit social welfare foundation and allows us to choose the weights on the costs of rich and poor households. We also give a unique solution for the welfare function for the case where the weights are independent of household expenditure. A first order approximation of our social cost-of- living index nests as special cases commonly used indices such as the CPI. We also provide a nonparametric method for estimating second- order approximations (which account for substitution effects).Inflation, Social cost-of-living, Demand, Average Derivatives
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