Search results for "data"

Toward modernizing the systematic review pipeline in genetics: efficient updating via data mining

2012

Purpose: The aim of this study was to demonstrate that modern data mining tools can be used as one step in reducing the labor necessary to produce and maintain systematic reviews. Methods: We used four continuously updated, manually curated resources that summarize MEDLINE-indexed articles in entire fields using systematic review methods (PDGene, AlzGene, and SzGene for genetic determinants of Parkinson disease, Alzheimer disease, and schizophrenia, respectively; and the Tufts Cost-Effectiveness Analysis (CEA) Registry for cost-effectiveness analyses). In each data set, we trained a classification model on citations screened up until 2009. We then evaluated the ability of the model to class…

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

"No better, no worse - but definitely different" : the presentation of target cultures in two English textbook-series for Finnish secondary school ch…

2007

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.

Can we automate expert-based journal rankings? Analysis of the Finnish publication indicator

2020

The publication indicator of the Finnish research funding system is based on a manual ranking of scholarly publication channels. These ranks, which represent the evaluated quality of the channels, are continuously kept up to date and thoroughly reevaluated every four years by groups of nominated scholars belonging to different disciplinary panels. This expert-based decision-making process is informed by available citation-based metrics and other relevant metadata characterizing the publication channels. The purpose of this paper is to introduce various approaches that can explain the basis and evolution of the quality of publication channels, i.e., ranks. This is important for the academic …

Yksilön yksityisyys esineiden internetin ja asiakasdatan näkökulmasta

2018

Esineiden internetin luoma heterogeeninen ympäristö voi aiheuttaa ihmisille useita erilaisia yksityisyysuhkia, koska tiedonkeruu esineiden internetissä on erittäin laajaa ja passiivista. Tiedonkeruu kohdistuu usein yksilöiden henkilökohtaisiin tietoihin, mikä voi olla vahingollista heidän yksityisyydellensä. Yritykset voivat hyödyntää näitä tietoja useilla liiketoimintansa osa-alueilla. Yritysten näkökulmasta esineiden internet luo uusia tehokkaita mahdollisuuksia kerätä ja hyödyntää asiakasdataa, mikä voi vaikuttaa vahvasti yksityisyysuhkien realisoitumiseen. Tämä kandidaatin tutkielma käsittelee esineiden internetin ja asiakasdatan luomia uhkia yksityisyydelle yksilön näkökulmasta. Tutkie…

Suomen kansalliset SOTE-tiedonlähteet ja tietojen hyödyntäminen

2018

Yhteiskunnallinen tiede

2017

Kirja-arvostelu teoksesta Esa Väliverronen: Julkinen tiede. Vastapaino. Tampere 2016. nonPeerReviewed