Search results for "Library Sciences"

Știrile false: limite și perspective ale analizei lingvistice

2020

This article sets out to offer an overview and a review of the latest linguistic research into fake news. To this end, the authors put forward a critical discussion of the paradigms and instruments deployed over the past decade to analyze and identify this textual (micro)genre, from natural language processing techniques to critical discourse analysis. The conclusion of our study is that a proper understanding of the fake news phenomenon can only be achieved by bringing together qualitative and quantitative methods.

Operaționalizarea experimentului în critica literară românească

2021

This study has a two-fold structure, in its first part exploring various models of experimental literature, proposed by researchers such as Gerald Prince and Warren Motte, as well as theoretical attempts to define and analyze experimental literature in Romania. The second part focuses on the quantitative analysis of keywords related to “the experimental” found in literary histories of Romanian literature authored by E. Lovinescu, G. Călinescu, Nicolae Manolescu, and Mihai Iovănel, as well as The General Dictionary of Romanian Literature and The Chronological Dictionary of the Romanian Novel. By simply searching several pointedly chosen terms in the corpus, a cartography of what is considere…

An author keyword analysis for mapping Sport Sciences

2018

[EN] Scientific production has increased exponentially in recent years. It is necessary to find methodological strategies for understanding holistic or macro views of the major research trends developed in specific fields. Data mining is a useful technique to address this task. In particular, our study presents a global analysis of the information generated during last decades in the Sport Sciences Category (SSC) included in the Web of Science database. An analysis of the frequency of appearance and the dynamics of the Author Keywords (AKs) has been made for the last thirty years. Likewise, the network of co-occurrences established between words and the survival time of new words that have …

Public Institutions as Learning Environments in Finland

2012

Public cultural institutions in this article are understood to be a part of the built up environment. The services provided by these are available to all citizens in Finland. These include: libraries, museums, various art institutions, theatres, music institutions and science centres. The expertise of the writers of the article is based on museums and libraries as learning environments, so the content of the article will focus on them. Finland has a broad network of public libraries and museums.

Institutional characteristics and managers’ perceptions of accounting information: impact on e-government use and organisational performance

2017

The use of e-government practices facilitates the disclosure of accounting information, and lets citizens monitor how public managers administer their financial resources and assets. In order to as...

Entrepreneurship in the Middle East and North Africa: A Bibliometric Analysis

2018

Bibliometrics is an important field of information science that enables bibliographic material to be studied quantitatively. Using bibliometric techniques, this chapter offers an overview of entrepreneurship research in the Middle East and North Africa. Using the Web of Science and Scopus databases, we identify the most relevant research in this field, classified by the most influential authors and the top papers, journals and countries. The sample includes 657 articles published from 1963 to 2016, from 387 different sources. The findings show that studies addressing this topic have been published mainly in non-JCR-indexed journals. In contrast, it is important to note that the top papers (…

Relevance of Big Data for Business and Management. Exploratory Insights (Part I)

2018

Abstract Over the last few decades Big Data has impetuously penetrated almost every domain of human interest/action and it has (more or less consciously) become a ubiquitous presence of day to day life. The main questions this exploratory paper seeks to address (throughout its two parts) are the following: What is the (actual) impact of Big Data on Business & Management and How can businesses (through their management) leverage the potential of Big Data to their benefit? A gradual, step by step approach (based on literature review and a variety of secondary data) will guide the paper in search for answers to the abovementioned questions: starting with a concise history of the topic Big …

ISARIC-COVID-19 dataset: A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19

2022

The International Severe Acute Respiratory and Emerging Infection Consortium (ISARIC) COVID-19 dataset is one of the largest international databases of prospectively collected clinical data on people hospitalized with COVID-19. This dataset was compiled during the COVID-19 pandemic by a network of hospitals that collect data using the ISARIC-World Health Organization Clinical Characterization Protocol and data tools. The database includes data from more than 705,000 patients, collected in more than 60 countries and 1,500 centres worldwide. Patient data are available from acute hospital admissions with COVID-19 and outpatient follow-ups. The data include signs and symptoms, pre-existing como…

Fair Pairwise Learning to Rank

2020

Ranking algorithms based on Neural Networks have been a topic of recent research. Ranking is employed in everyday applications like product recommendations, search results, or even in finding good candidates for hiring. However, Neural Networks are mostly opaque tools, and it is hard to evaluate why a specific candidate, for instance, was not considered. Therefore, for neural-based ranking methods to be trustworthy, it is crucial to guarantee that the outcome is fair and that the decisions are not discriminating people according to sensitive attributes such as gender, sexual orientation, or ethnicity.In this work we present a family of fair pairwise learning to rank approaches based on Neur…

2020

Peer review is often criticized for being flawed, subjective and biased, but research into peer review has been hindered by a lack of access to peer review reports. Here we report the results of a study in which text-analysis software was used to determine the linguistic characteristics of 472,449 peer review reports. A range of characteristics (including analytical tone, authenticity, clout, three measures of sentiment, and morality) were studied as a function of reviewer recommendation, area of research, type of peer review and reviewer gender. We found that reviewer recommendation had the biggest impact on the linguistic characteristics of reports, and that area of research, type of peer…