Search results for "Formations"
showing 10 items of 680 documents
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…
Famiglie, disagio e servizio sociale
2019
Il volume raccoglie contributi che intendono disvelare la natura sociale e culturale della famiglia. Gli autori dei contributi hanno messo in evidenza come la famiglia, lungi dall'essere una entità ovvia e data per scontata, sia invece il prodotto di aspettative, comportamenti socialmente strutturati, oltre che di negoziazioni e di rapporti di potere e dinamiche, talvolta profondamente conflittuali. The volume collects contributions that intend to reveal the social and cultural nature of the family.
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…
Elastic Wave Near-Cloaking
2020
Cloaking elastic waves has, in contrast to the cloaking of electromagnetic waves, remained a fundamental challenge: the latter successfully uses the invariance of Maxwell's equations, from which the field of transformational optics has emerged, whereas the elastic Navier equations are not invariant under coordinate transformations. Our aim is to overcome this challenge, at least in practical terms, and thereby unlock applications in mechanics, ultrasound, vibration mitigation, non-destructive evaluation and elastic wave control. We achieve near-cloaking by recognising that, despite the lack of invariance, a decoupling into a system of form invariant potential equations together with a quant…
Politics and Procurement: Evidence from Cleaning Contracts
2007
We study the effects of politics on public procurement in Swedish municipalities in 199098 using data on cleaning services. No procuring municipality committed to a standard auction format or to an ...