Search results for " data"
showing 10 items of 7516 documents
Creating the Socio-technical Context Needed to Derive Benefits from Big Data Initiatives in Healthcare
2021
The application of big data in healthcare typifies a complex socio-technical sys- tem. However, although research and practice have advanced the technical aspects of big data, comparable advancements in the social aspects (i.e., human and structural aspects) are lagging. Literature, especially on socio-technical theory, suggests that organizations may only derive benefits from big data initiatives when technical initiatives are adequate- ly complemented by social interventions. Thus, seeing that big data is receiving consider- able attention in healthcare, researchers have called for further research into the social aspects of the application of big data in healthcare. Adopting a socio-tech…
E-Sports y brecha de género: la percepción de las profesionales españolas
2019
The present paper aims to identify the causes of under-representation of women in E-sports. According to a genre perspective, interest in videogames at the amateur level is quite similar. However, in its professional level, female participation becomes very limited. The fact that physical effort is irrelevant (a requirement for ?traditional sports?) could be considered a variable that would negatively affect greater to equality in the conditions of access and participation of women in electronic sports. Against any predictions, the data on the presence of women are elocuent: few women, with much lower wages than men to remunerate same skills, and a general complaint by the female profession…
Problem Transformation Methods with Distance-Based Learning for Multi-Target Regression
2020
Multi-target regression is a special subset of supervised machine learning problems. Problem transformation methods are used in the field to improve the performance of basic methods. The purpose of this article is to test the use of recently popularized distance-based methods, the minimal learning machine (MLM) and the extreme minimal learning machine (EMLM), in problem transformation. The main advantage of the full data variants of these methods is the lack of any meta-parameter. The experimental results for the MLM and EMLM show promising potential, emphasizing the utility of the problem transformation especially with the EMLM. peerReviewed
High Frequency Data Acquisition System for Modelling the Impact of Visitors on the Thermo-Hygrometric Conditions of Archaeological Sites: A Casa di D…
2018
[EN] The characterization of the microclimatic conditions is fundamental for the preventive conservation of archaeological sites. In this context, the identification of the factors that influence the thermo-hygrometric equilibrium is key to determine the causes of cultural heritage deterioration. In this work, a characterization of the thermo-hygrometric conditions of Casa di Diana (Ostia Antica, Italy) is carried out analyzing the data of temperature and relative humidity recorded by a system of sensors with high monitoring frequency. Sensors are installed in parallel, calibrated and synchronized with a microcontroller. A data set of 793,620 data, arranged in a matrix with 66,135 rows and …
IDPlanT: the Italian database of plant translocation
2021
IDPlanT is the Italian Database of Plant Translocation, an initiative of the Nature Conservation Working Group of the Italian Botanical Society. IDPlanT currently includes 185 plant translocations. The establishment of a national database on plant translocation is a key step forward in data sharing and techniques improvement in this field of plant conservation. Supplemental data for this article is available online at https://doi.org/10.1080/11263504.2021.1985004.
Ihmisen visuaalinen hahmottamiskyky ja fysiologisen datan esittäminen
2015
Tutkimuksen tarkoituksena oli saada ymmärrys siitä, miten ihminen ymmär-tää visuaalista dataa ja miten fysiologista dataa kannattaa visualisoida. Tutki-muksen teoriaosuudessa syvennyttiin ihmisen visuaaliseen havaitsemis- ja hahmottamiskykyyn, tiedon visualisointiin ja visuaaliseen käytettävyyteen. Edellä mainittujen pohjalta luotiin suunnitteluperiaatteet fysiologisen (graafi-sen) datan esittämiselle. Tutkimuksen toimintaosuudessa tarkastelun kohtee-na oli Firstbeat Technologies Oy:n Hyvinvointianalyysin palautesivu, josta opinnäytteentekijä rakensi vaihtoehtoisen version perustuen suunnitteluperi-aatteisiin. Tutkimuksen taustalla oli ajatus Hyvinvointianalyysin tulossivujen selkiyttämises…
Information, Communications and Media Technologies for Sustainability: Constructing Data-Driven Policy Narratives
2021
This paper introduces the idea of data-driven narratives to examine how the use of information, communications, and media technologies (ICMTs) impacts the sustainable growth of economies. While ICMTs have regularly been advocated as a policy tool for growth and development, there is a research gap in empirical studies validating how such policies may be effective. This analysis is based on historical panel data from 39 economies across the developed North (19) and developing South (20). The industry-standard Cross-Industry Standard Process for Data Mining (CRISP-DM) methodology was applied to construct narratives that weave extant theories with empirical data. The art of developing data-dri…
Sense experience and differentiation : Husserl on bodily awareness
2023
This article outlines the basic ingredients of Husserl’s theory of bodily awareness. It first analyses the concepts of hyletic and kinesthetic sensibility, and illustrates the interwovenness and equiprimordiality of Me and not-Me in Husserl’s account. Second, it shows how the concept of the lived body emerges from this complex sensible foundation. Thirdly, it argues that, as the area of intersection between the Me and the not-Me, bodily awareness is the initial locus of differentiation between Me and not-Me: an area where the experiential distinction between the Me and the not-Me is constantly negotiated. peerReviewed
Qualitative analysis of housing demand using Google trends data
2019
Big data analytics often refer to the breakdown of huge amounts of data into a more readable and useful format. This study utilises Google Trends big data as a proxy for an analysis of housing demand. We employ a qualitative method (fuzzy set/Qualitative Comparative Analysis, fsQCA), instead of a quantitative method, for our estimate and forecast. The empirical results show that fsQCA successfully forecasts seasonal time series, even though the dataset is small in size. Our findings fill the gap in the qualitative and time series forecasting literature, and the forecasting procedure herein also offers a good standard for industry.
Dynamic Usage-based Principles in the Development of L2 Finnish Evaluative Constructions
2021
Abstract This study investigates the formal verbalizations of evaluation used by four beginning L2 learners of Finnish from a dynamic usage-based perspective. Longitudinal data collected weekly were used to investigate what kind of constructions learners use to express evaluation and how these interact and develop over time. The results show that when a new construction is acquired in the L2, another related construction might regress. The results also point to increased variability in the construction during a phase of rapid development and reduced variability in the phases of regression or slower progress. These findings add to our understanding of a developing L2 as a system in which cha…