Østfold University College

About: Østfold University College is a education organization based out in Halden, Norway. It is known for research contribution in the topics: Context (language use) & Health care. The organization has 438 authors who have published 1213 publications receiving 12510 citations. The organization is also known as: HiØ.

The Association Between Heart Rate Variability and Neurocognitive and Socio-Emotional Development in Nepalese Infants.

Abstract: Background: Many young children in developing countries do not reach their developmental potential. Traditional methods for assessing developmental outcome are time consuming, thus, physiological measures that can contribute to the prediction of developmental outcomes in high risk groups have been suggested. Vagally mediated heart rate variability (vmHRV) is considered a neurophysiological or peripheral proxy for prefrontal and executive functioning and might serve as a supplement for traditional measurements of developmental status and as a potential useful risk indicator. Aim: In the present study, we wanted to describe the vmHRV in Nepalese infants and relate it to the Bayley Scales of infant and toddler development, 3. edition (Bayley-III) subscales. Methods: 600 Nepalese infants were included in the study. At 6-11 and 17-24 months, we measured neurodevelopmental and socio-emotional outcomes by the Bayley-III. Inter-beat intervals were recorded at two measurement points when the children were 17-24 months. Results: There was a high intraclass correlation between HRV indices generated from the two measurement points. No significant associations between vmHRV and Bayley-III sub scales were found at any time. Conclusion: This study is the first to describe vmHRV in healthy infants and the relationship between Bayley-III scores. Our results suggest that vmHRV is not associated with measures of general development in infancy.

A new Keynesian framework and wage and price dynamics in the USA

Abstract: This paper investigates theoretical implications from a new Keynesian model focusing on the labor market, by imposing them as testable restrictions in an estimated vector error correction model on US data from 1982Q3 to 2016Q1. By this, I conduct an important, but rarely addressed, step in assessing the empirical relevance of a theoretical new Keynesian model. Another advantage of this approach is that the cycle and trend components of the data are separated when imposing the testable restrictions, such that there is no need to filter the data series prior to estimation. The results show that most of the properties pertaining to the theoretical model cannot be rejected when imposed as restrictions. The new Keynesian model on the labor market is thus found to be empirically relevant. Furthermore, the estimated econometric model explains a large degree of the wage and price dynamics in the USA, such that the paper also provides an estimated macroeconometric model.

An Efficient Scheme for Determining the Power Loss in Wind-PV Based on Deep Learning

Abstract: Power loss is a bottleneck in every power system and it has been in focus of majority of the researchers and industry. This paper proposes a new method for determining the power loss in wind-solar power system based on deep learning. The main idea of the proposed scheme is to freeze the feature extraction layer of the deep Boltzmann network and deploy deep learning training model as the source model. The sample data with closer distribution with the data under consideration is selected by defining the maximum mean discrepancy contribution coefficient. The power loss calculation model is developed by configuring the deep neural network through the sample data. The deep learning model is deployed to simulate the non-linear mapping relationship between the load data, power supply data, bus voltage data and the grid loss rate during power grid operation. The proposed algorithm is applied to an actual power grid to evaluate its effectiveness. Simulation results show that the proposed algorithm effectively improved the system performance in terms of accuracy, fault tolerance, nonlinear fitting and timeliness as compared with existing schemes.

Visual arts and drawings to communicate and explore authentic life situations, a data collection method in caring science - a hermeneutic perspective.

Abstract: This methodological article aims to describe three methodological strategies for using drawings as a part of qualitative data collection methods in caring research based on hermeneutics. In some research interview situations, participants may have difficulties to express their experiences and feelings in words. The consequences may be that the descriptions in research reports will become superficial and not authentic, meaning, "telling it as it is". Drawn pictures may facilitate and support reflection related to the deepening of experiences and thoughts, and communicate and express more than words can do. It may also reveal thoughts and feelings the person drawing the picture was not aware of. Three methodological strategies are described: (1) Drawing a picture as an introduction or starting point for an interview, (2) During an ongoing interview, encouraging the participant to draw a picture when further explanation or description is needed for deepening the communication and (3) Drawing something in a pre-existing picture. The theoretical foundation of Gadamer's hermeneutic philosophy is discussed in relation to what a drawing is representing and presents. The interpretation of the drawn picture depends primarily on the creator of the picture, but at the same time the interpretation and understanding is a movement between the interviewer's and the participant's horizons, and thus is open for preunderstanding and new understanding. In contrast to an ordinary interview between two parties, an interview involving a drawing adds something specific to the conversation as it becomes a "trialogue" and not only a dialog. The drawn picture stands on its own. Using the participant's drawing can, therefore, be understood as an ongoing process with three parties involved: (1) the participant, (2) the researcher and (3) the drawing.