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Relevance and Goal-Focusing in Text Processing
This article reviews the role of relevance in text processing. It argues that relevance instructions provided by instructors and texts help readers identify text segments that are germane to a reading goal. A taxonomy of relevance instructions is presented and four basic types of relevance manipulations are considered (i.e., targeted segments, elaborative interrogation, perspective, and purpose). This article also describes a four-stage goal-focusing model to explain how relevance affects attention allocation and text understanding. Directions for future research and educational implications are also discussed.
Journal Article
Relevance and narrative research
\"Relevance and Narrative Research turns the vaguely defined evaluative tool 'relevance' into an object of study, firmly situating questions of relevance in the context of narrative theory. It examines what relevance can do for narrative research and vice versa\"-- Provided by publisher.
Book
A Guide to Utilization of the Microbiology Laboratory for Diagnosis of Infectious Diseases: 2018 Update by the Infectious Diseases Society of America and the American Society for Microbiology
The critical nature of the microbiology laboratory in infectious disease diagnosis calls for a close, positive working relationship between the physician/advanced practice provider and the microbiologists who provide enormous value to the healthcare team. This document, developed by experts in laboratory and adult and pediatric clinical medicine, provides information on which tests are valuable and in which contexts, and on tests that add little or no value for diagnostic decisions. This document presents a system-based approach rather than specimen-based approach, and includes bloodstream and cardiovascular system infections, central nervous system infections, ocular infections, soft tissue infections of the head and neck, upper and lower respiratory infections, infections of the gastrointestinal tract, intra-abdominal infections, bone and joint infections, urinary tract infections, genital infections, and other skin and soft tissue infections; or into etiologic agent groups, including arthropod-borne infections, viral syndromes, and blood and tissue parasite infections. Each section contains introductory concepts, a summary of key points, and detailed tables that list suspected agents; the most reliable tests to order; the samples (and volumes) to collect in order of preference; specimen transport devices, procedures, times, and temperatures; and detailed notes on specific issues regarding the test methods, such as when tests are likely to require a specialized laboratory or have prolonged turnaround times. In addition, the pediatric needs of specimen management are also emphasized. There is intentional redundancy among the tables and sections, as many agents and assay choices overlap. The document is intended to serve as a guidance for physicians in choosing tests that will aid them to quickly and accurately diagnose infectious diseases in their patients.
Journal Article
Guidelines for establishing practical relevance in logistics and supply chain management research
PurposeRigor and practical relevance are the foundations for logistics and supply chain management (LSCM) as an applied discipline. Whereas there are well-founded criteria for establishing methodological rigor, researchers must provide their own credible logic as to why their papers can influence practice. Accordingly, this paper aims to develop guidelines for establishing practical relevance in research papers.Design/methodology/approachA literature review of LSCM, marketing, operations management and management journals forms the foundation for these guidelines.FindingsRelevance criteria are identified; research should be problem-driven, timely and important, and findings should be implementable, nonobvious, novel and not too costly. Measures for researchers demonstrating the fulfillment of these criteria are identified as practitioner input, gray literature, funding, practitioner involvement and feedback. Researchers should also clearly articulate both problem relevance and the relevance of their findings.Research limitations/implicationsA lack of practical relevance is among the reasons for the rejection of papers by LSCM journals, but researchers can overcome this obstacle using these guidelines.Practical implicationsAt a metalevel, this paper contributes to research with greater practical relevance.Originality/valuePractical relevance is emphasized in the editorials of LSCM journals but has not yet been fully conceptualized from the authors' perspective.
Journal Article
Value Relevance of FAS No. 157 Fair Value Hierarchy Information and the Impact of Corporate Governance Mechanisms
Statement of Financial Accounting Standards No. 157 (FAS No. 157), Fair Value Measurements, prioritizes the source of information used in fair value measurements into three levels: (1) Level 1 (observable inputs from quoted prices in active markets), (2) Level 2 (indirectly observable inputs from quoted prices of comparable items in active markets, identical items in inactive markets, or other market-related information), and (3) Level 3 (unobservable, firm-generated inputs). Using quarterly reports of banking firms in 2008, we find that the value relevance of Level 1 and Level 2 fair values is greater than the value relevance of Level 3 fair values. In addition, we find evidence that the value relevance of fair values (especially Level 3 fair values) is greater for firms with strong corporate governance. Overall, our results support the relevance of fair value measurements under FAS No. 157, but weaker corporate governance machanisms may reduce the relevance of these measures.
Journal Article
Making Learning Personally Meaningful: A New Framework for Relevance Research
Personal relevance goes by many names in the motivation literature, stemming from a number of theoretical frameworks. Currently these lines of research are being conducted in parallel with little synthesis across them, perhaps because there is no unifying definition of the relevance construct within which this research can be situated. In this paper we propose a new framework to synthesize existing research on relevance and provide a common platform for researchers to communicate and collaborate. In light of this new framework we review the role of relevance in three prominent theories in the motivation literature: the four-phase model of interest development, expectancy-value theory, and self-determination theory. We then explore eight relevance constructs commonly used in the literature and the educational interventions that derive from them. Finally, we offer a synthesis of these constructs and suggest some directions for future research.
Journal Article
How to make users fall in love with a mobile application: A moderated-mediation analysis of perceived value and (brand) love
PurposeThe study aims to examine the indirect relationships via application (app) brand self-relevance emotions and self-relevance that underlie the relationships between perceived value of mobile apps and (brand) love with respect to mobile apps. The study further investigates the moderating role of user–app relationship duration in the formation process of brand love for mobile apps from a dynamic and long-term perspective.Design/methodology/approachA multiple moderated-mediation model is developed and empirically tested with a sample of 396 users of popular Chinese mobile educational apps.FindingsThe study reveals that utilitarian value exhibits positive indirect relationships with brand love for mobile apps through increased positive self-relevance emotions. All three types of perceived value of mobile apps (utilitarian, hedonic and social) affect app brand love positively via self-relevance. These three types of perceived value were found to be serially linked to brand love through self-relevance and self-relevance emotions. Furthermore, empirical evidence is found for the moderating effects of user–app relationship duration.Originality/valueBy testing mechanisms simultaneously in an integrative model, this study investigates the reasons for app brand love that attract a user into a lasting relationship with an app and extends knowledge of the app brand love building process in inducing strong and positive brand–self connections. Our study also makes practical contributions by offering insights into delivering the most desired benefits to mobile app users according to different contextual conditions, in order to attract and retain users in a more cost-effective manner.
Journal Article
Relevance assessments, bibliometrics, and altmetrics: a quantitative study on PubMed and arXiv
Relevance is a key element for analyzing bibliometrics and information retrieval (IR). In both domains, relevance decisions are discussed theoretically and sometimes evaluated in empirical studies. IR research is often based on test collections for which explicit relevance judgments are made, while bibliometrics is based on implicit relevance signals like citations or other non-traditional quantifiers like altmetrics. While both types of relevance decisions share common concepts, it has not been empirically investigated how they relate to each other on a larger scale. In this work, we compile a new dataset that aligns IR relevance judgments with traditional bibliometric relevance signals (and altmetrics) for life sciences and physics publications. The dataset covers PubMed and arXiv articles, for which relevance judgments are taken from TREC Precision Medicine and iSearch, respectively. It is augmented with bibliometric data from the Web of Science and Altmetrics. Based on the reviewed literature, we outline a mental framework supporting the answers to our research questions. Our empirical analysis shows that bibliometric (implicit) and IR (explicit) relevance signals are correlated. Likewise, there is a high correlation between biblio- and altmetrics, especially for documents with explicit positive relevance judgments. Furthermore, our cross-domain analysis demonstrates the presence of these relations in both research fields.
Journal Article
Extracting the Multiscale Backbone of Complex Weighted Networks
A large number of complex systems find a natural abstraction in the form of weighted networks whose nodes represent the elements of the system and the weighted edges identify the presence of an interaction and its relative strength. In recent years, the study of an increasing number of large-scale networks has highlighted the statistical heterogeneity of their interaction pattern, with degree and weight distributions that vary over many orders of magnitude. These features, along with the large number of elements and links, make the extraction of the truly relevant connections forming the network's backbone a very challenging problem. More specifically, coarse-graining approaches and filtering techniques come into conflict with the multiscale nature of large-scale systems. Here, we define a filtering method that offers a practical procedure to extract the relevant connection backbone in complex multiscale networks, preserving the edges that represent statistically significant deviations with respect to a null model for the local assignment of weights to edges. An important aspect of the method is that it does not belittle small-scale interactions and operates at all scales defined by the weight distribution. We apply our method to realworld network instances and compare the obtained results with alternative backbone extraction techniques.
Journal Article