Search results for " Collection"

2020

Abstract Challenge is a key motivation for videogame play. But what kind of challenge types videogames include, and which of them players prefer? This article helps to answer the above questions by developing and validating Videogame Challenge Inventory (CHA), a psychometrically sound measurement for investigating players’ challenge preferences in videogames. Based on a review of literature, we developed a 38-item version of CHA that was included in a social media user survey (N = 813). An exploratory factor analysis (EFA) revealed a latent structure of five challenge types: Physical, Analytical, Socioemotional, Insight, and Foresight. CHA was amended in another EFA with USA-based survey da…

Predictors of time famine among Finnish employees - Work, family or leisure?

2009

The recent survey data indicates that the time famine is a common experience among employees, while the data of time use indicates increased leisure time. Similarly, there are different views on the causes of time famine. Firstly, in working life research time famine is usually explained by increasing requirements of work life. Secondly, in gender studies time famine is considered to be a product of family obligations. Thirdly, some authors interpret time famine as a phenomenon relating to the intensification of leisure. The aim of the study was to examine the extent and causes of time famine among Finnish employees. The analysis was based on the Finnish Use of Time data (1999–2000) and foc…

The deteriorating work-related well-being among statutory social workers in a rigorous economic context

2014

This article examines the connection between economic pressures and impaired well-being at work experienced by Finnish statutory social workers. The survey data were collected during the years 2011–2012. The respondents (N = 817) were social workers in statutory social services. The overall response rate was 46.5 and nearly 60% of all Finnish municipalities participated in the study. This study affirms the worrying state of the well-being at work of statutory social workers. Up to 43% of the respondents reported worsening of their work-related well-being during the past two years. On average, they had experienced impaired work-related well-being at least once a month. Nearly 18% reported ex…

The gender gap in teenagers’ incomes. A 30-year trend in Finland 1983–2013

2015

ABSTRACTIn this article, we examine the gender differences in disposable incomes of teenagers during a 30-year period 1983–2013, using large nationally representative survey data. Since the gender pay gap in working life has been rather persistent in Finland and the EU, it was necessary to see whether the gap persists in teenagers’ incomes as well. Although teenagers do not receive much income from work, they adapt to the structures of society during their teenage years and learn gender roles in consumption, education, and working life. Our results reveal that the gender pay gap has been rather persistent in Finland, particularly among 14- and 16-year-old teenagers. It is only among 18-year…

Sociodemographic Characteristics and Interests of FeverApp Users

2021

The FeverApp Registry is a model registry focusing on pediatric fever using a mobile app to collect data and present recommendations. The recorded interactions can clarify the relationship between user documentation and user information. This initial evaluation regarding features of participants and usage intensity of educational video, information library, and documentation of fever events covers the runtime of FeverApp for the first 14 months. Of the 1592 users, the educational opening video was viewed by 41.5%, the Info Library was viewed by 37.5%, and fever events were documented by 55.5%. In the current sample, the role of a mother (p &lt

Tuning Java to Run Interactive Multiagent Simulations over Jason

2010

Java-based simulation environments are currently used by many multiagent systems (MAS), since they mainly provide portability as well as an interesting reduction of the development cost. However, this kind of MAS are rarely considered when developing interactive applications with time response constraints. This paper analyses the performance provided by Jason, a well-known Java-based MAS platform, as a suitable framework for developing interactive multiagent simulations. We show how to tune both the heap size and the garbage collection of the Java Virtual Machine in order to achieve a good performance while executing a simple locomotion benchmark based on crowd simulations. Furthermore, the…

Structural analysis of the lipid A isolated from Hafnia alvei 32 and PCM 1192 lipopolysaccharides[S]

2010

Hafnia alvei, a Gram-negative bacterium, is an opportunistic pathogen associated with mixed hospital infections, bacteremia, septicemia, and respiratory diseases. The majority of clinical symptoms of diseases caused by this bacterium have a lipopolysaccharide (LPS, endotoxin)-related origin. The lipid A structure affects the biological activity of endotoxins predominantly. Thus, the structure of H. alvei lipid A was analyzed for the first time. The major form, asymmetrically hexa-acylated lipid A built of beta-D-GlcpN4P-(1-->6)-alpha-D-GlcpN1P substituted with (R)-14:0(3-OH) at N-2 and O-3, 14:0(3-(R)-O-12:0) at N-2', and 14:0(3-(R)-O-14:0) at O-3', was identified by ESI-MS(n) and MALDI-tim…

Correcting for non-ignorable missingness in smoking trends

2015

Data missing not at random (MNAR) is a major challenge in survey sampling. We propose an approach based on registry data to deal with non-ignorable missingness in health examination surveys. The approach relies on follow-up data available from administrative registers several years after the survey. For illustration we use data on smoking prevalence in Finnish National FINRISK study conducted in 1972-1997. The data consist of measured survey information including missingness indicators, register-based background information and register-based time-to-disease survival data. The parameters of missingness mechanism are estimable with these data although the original survey data are MNAR. The u…

Bayesian subcohort selection for longitudinal covariate measurements in follow‐up studies

2022

We propose an approach for the planning of longitudinal covariate measurements in follow-up studies where covariates are time-varying. We assume that the entire cohort cannot be selected for longitudinal measurements due to financial limitations, and study how a subset of the cohort should be selected optimally, in order to obtain precise estimates of covariate effects in a survival model. In our approach, the study will be designed sequentially utilizing the data collected in previous measurements of the individuals as prior information. We propose using a Bayesian optimality criterion in the subcohort selections, which is compared with simple random sampling using simulated and real follo…

Model-Assisted Estimation Through Random Forests in Finite Population Sampling

2021

In surveys, the interest lies in estimating finite population parameters such as population totals and means. In most surveys, some auxiliary information is available at the estimation stage. This information may be incorporated in the estimation procedures to increase their precision. In this article, we use random forests (RFs) to estimate the functional relationship between the survey variable and the auxiliary variables. In recent years, RFs have become attractive as National Statistical Offices have now access to a variety of data sources, potentially exhibiting a large number of observations on a large number of variables. We establish the theoretical properties of model-assisted proc…