Metadata

2020 ◽  
Vol 47 (8) ◽  
pp. 696-713
Author(s):  
Matthew S. Mayernik
Keyword(s):  
Professional Practice ◽  
Academic Research ◽  
Computational Techniques ◽  
Daily Lives ◽  
Origin And Evolution ◽  
Research Problems ◽  
Human Effort ◽  
High Level ◽  
Information Sciences

Meta­data in various forms pervades our institutions, technologies, and daily lives. Meta­data is a distinct focus of academic research and professional practice for many people within the library and information sciences (LIS). This article is an exploration of the concept of “meta­data.” It presents a high-level introduction to the topic with analysis of key research problems and practical challenges. The paper discusses varying understandings of what “meta­data” means, the origin and evolution of meta­data as an important topic within information and data fields, and the central characteristics of that which gets called “meta­data.” Meta­data can be understood as both process and product and can result from both human effort and computational techniques. Given the central role meta­data have in the establishment of know­ledge, evidence, and truth, it is necessary for researchers and professionals within LIS to think critically about our meta­data practices and systems.

Bayesian Estimation of DSGE Models

2015 ◽  
Author(s):  
Edward P. Herbst ◽  
Frank Schorfheide
Keyword(s):  
Monte Carlo ◽  
Sequential Monte Carlo ◽  
Likelihood Function ◽  
Academic Research ◽  
Dynamic Stochastic General Equilibrium ◽  
Computational Techniques ◽  
Dsge Models ◽  
Monte Carlo Techniques ◽  
Dynamic Stochastic ◽  
Theoretical Foundations

Dynamic stochastic general equilibrium (DSGE) models have become one of the workhorses of modern macroeconomics and are extensively used for academic research as well as forecasting and policy analysis at central banks. This book introduces readers to state-of-the-art computational techniques used in the Bayesian analysis of DSGE models. The book covers Markov chain Monte Carlo techniques for linearized DSGE models, novel sequential Monte Carlo methods that can be used for parameter inference, and the estimation of nonlinear DSGE models based on particle filter approximations of the likelihood function. The theoretical foundations of the algorithms are discussed in depth, and detailed empirical applications and numerical illustrations are provided. The book also gives invaluable advice on how to tailor these algorithms to specific applications and assess the accuracy and reliability of the computations. The book is essential reading for graduate students, academic researchers, and practitioners at policy institutions.

Procurement Analytics: Enabling Data Architectures in the Age of Big Data

2020 ◽  
Author(s):  
Michael Goul ◽  
T. S. Raghu ◽  
Ziru Li
Keyword(s):  
Big Data ◽  
Academic Research ◽  
Research Literature ◽  
Structured Interviews ◽  
Data Space ◽  
Prescriptive Analytics ◽  
Data Architecture ◽  
The Future ◽  
High Level ◽  
Area Data

As procurement organizations increasingly move from a cost-and-efficiency emphasis to a profit-and-growth emphasis, flexible data architecture will become an integral part of a procurement analytics strategy. It is therefore imperative for procurement leaders to understand and address digitization trends in supply chains and to develop strategies to create robust data architecture and analytics strategies for the future. This chapter assesses and examines the ways companies can organize their procurement data architectures in the big data space to mitigate current limitations and to lay foundations for the discovery of new insights. It sets out to understand and define the levels of maturity in procurement organizations as they pertain to the capture, curation, exploitation, and management of procurement data. The chapter then develops a framework for articulating the value proposition of moving between maturity levels and examines what the future entails for companies with mature data architectures. In addition to surveying the practitioner and academic research literature on procurement data analytics, the chapter presents detailed and structured interviews with over fifteen procurement experts from companies around the globe. The chapter finds several important and useful strategies that have helped procurement organizations design strategic roadmaps for the development of robust data architectures. It then further identifies four archetype procurement area data architecture contexts. In addition, this chapter details exemplary high-level mature data architecture for each archetype and examines the critical assumptions underlying each one. Data architectures built for the future need a design approach that supports both descriptive and real-time, prescriptive analytics.

A Case of Academic Social Networking Sites Usage in Malaysia

2016 ◽  
Vol 9 (2) ◽  
pp. 88-99 ◽  
Author(s):  
Maryam Salahshour ◽  
Halina Mohamed Dahlan ◽  
Noorminshah A. Iahad
Keyword(s):  
Social Networking ◽  
Social Networking Sites ◽  
Academic Research ◽  
Perceived Usefulness ◽  
Privacy And Security ◽  
Daily Lives ◽  
Research Activities ◽  
New Type ◽  
Technology And Communication ◽  
The Impact

Social networking tools have become an integral part of our daily lives. Recently, a new type of Social Networking Sites (SNSs) namely Academic Social Networking sites (ASNSs) has attracted global users. There is perceived usefulness on the impact of ASNSs on patterns of academic research activities. However, it remains unclear why some researchers do not use ASNSs at all. The purpose of this paper is therefore to explore the ASNSs usage among Malaysian academic researchers and to investigate benefits, specific purpose, drivers and barriers of using ASNSs. A total of 210 completed cases were collected through paper-based and online-based questionnaire. In order to show the outcome of the research, descriptive interpretation of data is performed. The overall findings of this research indicate that there is low rate of ASNSs usage among researchers. In addition, the results show that colleagues, attitude toward technology and communication benefits are the drivers to use ASNSs and trust, privacy and security are the common barriers regarding to use ASNSs.

scholarly journals Fabric Vest Socket with Embroidered Electrodes for Control of Myoelectric Prosthesis

Sensors ◽  
2020 ◽  
Vol 20 (4) ◽  
pp. 1196 ◽  
Author(s):  
Seulah Lee ◽  
Babar Jamil ◽  
Sunhong Kim ◽  
Youngjin Choi
Keyword(s):  
Signal To Noise Ratio ◽  
Cost Effective ◽  
Electrode Impedance ◽  
Rigid Support ◽  
Daily Lives ◽  
Myoelectric Prosthesis ◽  
Myoelectric Prostheses ◽  
Average Classification Accuracy ◽  
High Level ◽  
Semg Signals

Myoelectric prostheses assist users to live their daily lives. However, the majority of users are primarily confined to forearm amputees because the surface electromyography (sEMG) that understands the motion intents should be acquired from a residual limb for control of the myoelectric prosthesis. This study proposes a novel fabric vest socket that includes embroidered electrodes suitable for a high-level upper amputee, especially for shoulder disarticulation. The fabric vest socket consists of rigid support and a fabric vest with embroidered electrodes. Several experiments were conducted to verify the practicality of the developed vest socket with embroidered electrodes. The sEMG signals were measured using commercial Ag/AgCl electrodes for a comparison to verify the performance of the embroidered electrodes in terms of signal amplitudes, the skin-electrode impedance, and signal-to-noise ratio (SNR). These results showed that the embroidered electrodes were as effective as the commercial electrodes. Then, posture classification was carried out by able-bodied subjects for the usability of the developed vest socket. The average classification accuracy for each subject reached 97.92%, and for all the subjects it was 93.2%. In other words, the fabric vest socket with the embroidered electrodes could measure sEMG signals with high accuracy. Therefore, it is expected that it can be readily worn by high-level amputees to control their myoelectric prostheses, as well as it is cost effective for fabrication as compared with the traditional socket.

scholarly journals Knowledge Re-production and Transfer: Translating Practice into Theory

2019 ◽  
Author(s):  
Ahmed Alaoui
Keyword(s):  
Professional Practice ◽  
Academic Research ◽  
Research Model ◽  
Leading Role ◽  
Academic Researchers ◽  
The Future ◽  
Practice Based Research ◽  
The University ◽  
Cross Fertilization ◽  
Positive Impacts

This paper argues that cross-fertilization among translation academic researchers, practitioners and trainers is needed for all the actors involved in the translation enterprise. It calls for a practice-based research model to materialize the mechanisms needed for the interaction and collaboration of the three stakeholders, which would have positive impacts on the translation landscape. Given that this cross-fertilization can only be beneficial if it is structured and sustained, then it has to be formalized and institutionalized. A plan will be proposed as to how this can be materialized. It is a thesis of this paper that professional practice needs academic research (theories) to shape it, and theory can only have functional dimensions through professional practice; therefore, there is a pressing need to bridge the gap between “knowing” and “doing” in translation. To the extent that this position is valid the university is invited to play a leading role in materializing this objective, with a view to shaping the future of the translation profession and preserving translation education in Arab universities.

scholarly journals An Exploration of Neighborhood Residents’ Cognition of and Participation in Low-Carbon Behaviors in Wuhan, China

2018 ◽  
Vol 2018 ◽  
pp. 1-9
Author(s):  
Wenjun Peng ◽  
Xiaoming Wang ◽  
Lijun Guo
Keyword(s):  
Energy Conservation ◽  
Questionnaire Survey ◽  
Resource Consumption ◽  
Low Carbon ◽  
Economic Interests ◽  
Daily Lives ◽  
Initial Stage ◽  
Efficient Resource ◽  
The Government ◽  
High Level

This paper analyzed neighborhood residents’ cognition of and participation in low-carbon behaviors, basing on a questionnaire survey launched in a neighborhood in Wuhan, China. Results indicate that most respondents concerned the low-carbon impact on their daily lives and expected the government to make differences in low-carbon transition. Neighborhood residents’ participation in low-carbon behaviors was mainly reflected in three aspects: home energy conservation (HEC), efficient resource consumption (ERC), and recycling habits (RH), which were extracted from the five categories out of the 15 observed variables. Many interviewees had high level of participation in low-carbon behaviors that affect their economic interests. But these neighborhood residents rarely participated in public low-carbon behaviors such as planting trees or cooperative low-carbon behaviors. Therefore, these neighborhood residents’ participation in low-carbon behaviors was still on the initial stage. Specific proposals were put forward to promote urban low-carbonization further.

scholarly journals A strategic managerial approach to corporate sports hospitality: the case of Belgian football

2020 ◽  
Vol 35 (1) ◽  
pp. 61-75
Author(s):  
Matteo Balliauw ◽  
Thomas Verlinden ◽  
Lisa De Croocq ◽  
Aline Fobe ◽  
Tomas Van Den Spiegel
Keyword(s):  
Ad Hoc ◽  
Academic Research ◽  
Secondary Data ◽  
Holistic Approach ◽  
Primary Data ◽  
Economic Downturn ◽  
Management Process ◽  
Content Type ◽  
Marketing Tool ◽  
High Level

Purpose Corporate sports hospitality (CSH) is a relationship marketing tool whereby customers and other stakeholders are invited by a company buying CSH from a club to attend a sports event. The CSH product involves premium seating and optional services such as catering. This industry has been perceived to be in decline, especially in times of economic downturn. The purposes of this paper are a quantification of the CSH industry’s value and the development of a formal CSH management process for both companies and clubs. Design/methodology/approach A case study from the highest division in Belgian football (soccer) is conducted, involving interviews and quantitative data collection as the primary data source, in addition to secondary data and insights from the literature. As opposed to literature, this paper uses a holistic approach, combining the perspective of the club and the CSH buying company with attention for customers. Findings CSH returns account for an important share of club revenues (>10%), despite the smaller market compared to the American major sports leagues. Since a club experiences the strongest competitive impact from substitutes and other clubs in the league, and CSH is often managed on an ad hoc base, disposing of a formal management process is crucial for both clubs and companies. For companies buying CSH, not only return on investment but also return on other objectives matters. Moreover, CSH is at least as effective to deepen existing business relationships as to create new ones. Research limitations/implications The paper provides clubs and companies with a theoretic background and practical key performance indicators (KPIs) to base their managerial decisions on. Although external validity to other Belgian venue-based sports can reasonably be assumed, translating the findings to other countries or non-venue based sports requires caution. Originality/value Little academic research about the CSH industry is available. Specific KPIs to define objectives and measure output, as well as feedback loops for clubs and companies, are developed. The proposed CSH management process follows the same high-level steps, but with different specific actions per actor, leading to a better understanding of similarities and differences of both processes, and a better co-creation of the CSH event.

Constrained Multibody Dynamics With Python: From Symbolic Equation Generation to Publication

2013 ◽  
Author(s):  
Gilbert Gede ◽  
Dale L. Peterson ◽  
Angadh S. Nanjangud ◽  
Jason K. Moore ◽  
Mont Hubbard
Keyword(s):  
Open Source ◽  
Undergraduate Students ◽  
Multibody Systems ◽  
Degrees Of Freedom ◽  
Equations Of Motion ◽  
Academic Research ◽  
General Purpose ◽  
Engineering Software ◽  
Symbolic Equations Of Motion ◽  
High Level

Symbolic equations of motion (EOMs) for multibody systems are desirable for simulation, stability analyses, control system design, and parameter studies. Despite this, the majority of engineering software designed to analyze multibody systems are numeric in nature (or present a purely numeric user interface). To our knowledge, none of the existing software packages are 1) fully symbolic, 2) open source, and 3) implemented in a popular, general, purpose high level programming language. In response, we extended SymPy (an existing computer algebra system implemented in Python) with functionality for derivation of symbolic EOMs for constrained multibody systems with many degrees of freedom. We present the design and implementation of the software and cover the basic usage and workflow for solving and analyzing problems. The intended audience is the academic research community, graduate and advanced undergraduate students, and those in industry analyzing multibody systems. We demonstrate the software by deriving the EOMs of a N-link pendulum, show its capabilities for LATEX output, and how it integrates with other Python scientific libraries — allowing for numerical simulation, publication quality plotting, animation, and online notebooks designed for sharing results. This software fills a unique role in dynamics and is attractive to academics and industry because of its BSD open source license which permits open source or commercial use of the code.

Research Collaboration with Community Organizations: A Case Example

2003 ◽  
Vol 84 (1) ◽  
pp. 75-79 ◽  
Author(s):  
Deborah B. Smith
Keyword(s):  
Research Collaboration ◽  
Academic Research ◽  
Community Organizations ◽  
State University ◽  
Research Experience ◽  
Community Based Organization ◽  
High Level ◽  
The University ◽  
Collaborative Efforts

This case example details a collaborative research experience between an urban state university and a community-based organization. The project combined the author's interest in midlife volunteering with the organization's need for long-term planning in volunteer and program development. Important components of this endeavor mirror those previously reported in the literature as necessary for collaborative success, including shared concerns, good timing, strong stakeholder groups, involvement of high-level visible leaders, and development of respect and trust. In addition, the author found that prior involvement between the university and the organization helped, as did the author's prior experience with collaborative efforts. Also discussed are the positive outcomes and challenges of undertaking academic research with community organizations.

The History of Tidal Predictions in the United Kingdom before the Twentieth Century.

1972 ◽  
Vol 73 ◽  
pp. 13-23 ◽  
Author(s):  
J. R. Rossiter
Keyword(s):  
United Kingdom ◽  
Academic Research ◽  
Gravitational Theory ◽  
Raw Material ◽  
Computational Techniques ◽  
Applied Theory ◽  
Full Potential ◽  
Remarkable Feature ◽  
The United Kingdom ◽  
Lord Kelvin

SynopsisThe relationship between the scientist for whom the theory of tides has always offered a fertile field for academic research, and the practical man whose operational need for tide tables has seldom coincided with the desire to seek a full understanding of tidal phenomena, have played a fundamental role in the development of accurate tidal predictions.Until the last decade, without the sympathetic collaboration of the scientist, the intelligent mariner was rarely able to satisfy the more demanding of his own requirements for tidal forecasts; academic dilettantism was (and still is) of little use to him. In the United Kingdom, the earliest recorded efforts, those of John Wallingford, Abbott of St Albans in the thirteenth century, were only intermittently improved, as for example by John Flamstead during the seventeenth century, until the full potential of Isaac Newton's work on gravitational theory was utilised systematically by Sir Joshua Lubbock, Lord Kelvin and Sir George Darwin in the second half of the nineteenth century. The extension and refinement of the framework of applied theory so formed was then taken over by A. T. Doodson until the dawn of the digital computation revolution just over a decade ago.The nature, scope and quality of tidal predictions over the centuries have seen many changes in response to demands for improvement, which are as pressing today as at any time in the past. Perhaps the most remarkable feature of this trend has been the way in which the development of techniques for observing tidal variations—the raw material from which predictions are derived—has failed to keep pace with advances in theory, computational techniques and practical usage.

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