Search results for "informations"
showing 10 items of 428 documents
Evaluation of Inciso: A system for automatic elaboration of a Citation Index in Social Science Spanish Journal
2007
We have developed a system that can elaborate a citation index in an automated way. It has been tested with Spanish journals. We need evaluate our system, mainly in effectiveness of the retrieval of citations. Criteria for evaluation of the system is presented and discussed, and the results of the application to our system are showed and analyzed.
The relationship between online vigilance and affective well-being in everyday life: Combining smartphone logging with experience sampling
2021
Contains fulltext : 220301.pdf (Publisher’s version ) (Open Access) Through communication technology, users find themselves constantly connected to others to such an extent that they routinely develop a mindset of connectedness. This mindset has been defined as online vigilance. Although there is a large body of research on media use and well-being, the question of how online vigilance impacts well-being remains unanswered. In this preregistered study, we combine experience sampling and smartphone logging to address the relation of online vigilance and affective well-being in everyday life. Seventy-five Android users answered eight daily surveys over five days (N = 1615) whilst having their…
Eliciting Information on the Vulnerability Black Market from Interviews
2010
Threats to computing prompted by software vulnerabilities are abundant and costly for those affected. Adding to this problem is the emerging vulnerability black markets (VBMs), since they become places to trade malware and exploits. VBMs are discussed based on information derived from interviews with security researchers. The effort is enriched by further examination of documents surrounding the disclosure of four selected vulnerabilities cases. The result suggests that the VBMs is bifurcated into two distinct parts; the skilled-hacker and the script-kiddie VBMs with a possible link between them, where the latter become places to sell malware or exploit kits after the zero day vulnerability…
Interviews with Community Healthcare Registered Nurses in Norway: Examination Practices and Clinical Evaluation Processes
2021
Abstract Aim This study describes the examination practices and clinical evaluation processes that Registered Nurses in Norway perform in the community healthcare sector. Design A qualitative exploratory design. Methods Twenty interviews were conducted with Registered Nurses employed in the community healthcare sector in Norway. The data were analysed using a thematic analysis. Results We found four major themes: (1) evaluations are embedded in nurses’ daily work, (2) significance of a Registered Nurse's clinical competency, (3) different tasks require various roles and (4) access to resources and equipment. Registered Nurses possess several skills in a range of different examination techni…
Empirically-derived subgroups of Facebook users and their association with personality characteristics: a Latent Class Analysis
2018
Abstract In recent years, considerable research effort has been directed at the identification of relationships between psychological variables and Facebook usage indicators. However, the identification of homogeneous subgroups of individuals based on similar Facebook usage characteristics still presents a challenge. This study aims: (1) to empirically determine homogeneous groups of Facebook users based on variables regarding their personal experience on Facebook, by using a Latent Class Analysis; and (2) to examine the association between an individual's personality and interpersonal characteristics and the empirically-derived profiles of Facebook usage. Eight hundred and eleven Facebook …
ASR performance prediction on unseen broadcast programs using convolutional neural networks
2018
In this paper, we address a relatively new task: prediction of ASR performance on unseen broadcast programs. We first propose an heterogenous French corpus dedicated to this task. Two prediction approaches are compared: a state-of-the-art performance prediction based on regression (engineered features) and a new strategy based on convolutional neural networks (learnt features). We particularly focus on the combination of both textual (ASR transcription) and signal inputs. While the joint use of textual and signal features did not work for the regression baseline, the combination of inputs for CNNs leads to the best WER prediction performance. We also show that our CNN prediction remarkably …
Multilingual Clustering of Streaming News
2018
Clustering news across languages enables efficient media monitoring by aggregating articles from multilingual sources into coherent stories. Doing so in an online setting allows scalable processing of massive news streams. To this end, we describe a novel method for clustering an incoming stream of multilingual documents into monolingual and crosslingual story clusters. Unlike typical clustering approaches that consider a small and known number of labels, we tackle the problem of discovering an ever growing number of cluster labels in an online fashion, using real news datasets in multiple languages. Our method is simple to implement, computationally efficient and produces state-of-the-art …
Quantum GestART: Identifying and Applying Correlations between Mathematics, Art, and Perceptual Organization
2020
Mathematics can help analyze the arts and inspire new artwork. Mathematics can also help make transformations from one artistic medium to another, considering exceptions and choices, as well as artists' individual and unique contributions. We propose a method based on diagrammatic thinking and quantum formalism. We exploit decompositions of complex forms into a set of simple shapes, discretization of complex images, and Dirac notation, imagining a world of "prototypes" that can be connected to obtain a fine or coarse-graining approximation of a given visual image. Visual prototypes are exchanged with auditory ones, and the information (position, size) characterizing visual prototypes is con…
PESI - a taxonomic backbone for Europe
2015
Reliable taxonomy underpins communication in all of biology, not least nature conservation and sustainable use of ecosystem resources. The flexibility of taxonomic interpretations, however, presents a serious challenge for end-users of taxonomic concepts. Users need standardised and continuously harmonised taxonomic reference systems, as well as highquality and complete taxonomic data sets, but these are generally lacking for nonspecialists. The solution is in dynamic, expertly curated web-based taxonomic tools. The Pan-European Species-directories Infrastructure (PESI) worked to solve this key issue by providing a taxonomic e-infrastructure for Europe. It strengthened the relevant social (…
GESTURES AS A COMMUNICATION FEATURE IN CHILDREN WITH DEVELOPMENTAL LANGUAGE DISORDER
2019
Gestures as non-verbal communication allow us to express our attitude, emotional state, and it functions unconsciously. The verbal communication appears in the life of a child about 2 years of age and gradually replaces the non-verbal communication. However, children with DLD (Developmental Language Disorder) at the age of 3 and more do not speak or speak using separate sounds and combinations of sounds in their speech and use gestures broadly; it helps them to communicate with others. The aim of the article is to explore what kind of gestures as non-verbal communication are used by children with DLD in order to communicate with peers and adults. Based on the scientific literature of the re…