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.

Risking the social bond: motivations to defend or to repair when dealing with displeasing information

Abstract: Our choice to withhold or disclose displeasing information to another can motivate concern about damage to our social bonds. In two experiments, using two different samples of university students in Norway, (N = 174 and N = 217), we found that withholding unpleasant information led to greater concern for self- image and social-image than did disclosure. We also found that withholding elicited more shame, inferiority and rejection than disclosure, and in Experiment 2, withholding elicited more defensive motivation than disclosure. Consistent with our model, defensive motivation was mostly explained by concern for social-image, whereas relationship repair motivation was mostly explained by concern for self-image and felt shame. We discuss implications for the literature on shame and social bonds.

Alternative careers at the first level of management.

Abstract: First-line nurse managers are frequently torn between conflicting demands from management and employees, and previous research suggests that nurse managers use a variety of responses to cope with these demands. The purpose of this paper is to explore the influence of social support on nurse managers’ responses to role-conflict.,Two focused ethnographic studies involving participant observation and interviews with seven first-line nurse managers were completed. One study included first-line nurse managers from four units in two municipalities (2005), while the second included three first-line nurse managers from a hospital in Norway (2015-2016).,Three types of responses were identified: the embracing managerialism career, the emphasising managerialism career and the emphasising professionalism career. Emphasising managerialism was associated with role distance from the role of nurse, whereas emphasising professionalism involved role distance from the managerial role.,This study provides insights into first-line nurse managers’ responses to role conflict, by identifying the mechanisms involved and an opportunity to develop a theoretical framework for future studies among nurse managers.

Two-dimensional ternary locally resonant phononic crystals with a comblike coating

Abstract: Two-dimensional ternary locally resonant phononic crystals used to consist of cylindrical scatterers with uniform coatings in their exterior. An alternative coating scheme with a comblike profile is proposed and investigated in this letter. The band structures are calculated by using the finite element method. It is found that a complete bandgap at a significantly low frequency can be induced. The mechanism for such a change is suggested by using an equivalent spring-mass model based on analyzing the eigen modes at the bandgap edges. Consistent results are obtained from the numerical results and the analysis of the spring-mass model.

On the Track of the Worker Collectivity: Its Various Adventures Over the Past 60 Years

Abstract: In the 1950s, the Norwegian sociologist Sverre Lysgaard investigated social relations at a pulp and paper mill, the result of which was his theory of the “worker collectivity.” This is an informal defense organization among subordinate employees against a company’s work organization and goals. Our research group returned to the same plant, which until 2012 was still a pulp and paper mill, with two questions in mind: Was the worker collectivity still present at the plant? What had happened since Lysgaard’s study when it came to the preconditions for the existence of the worker collectivity?

Towards the Automation of a Chemical Sulphonation Process with Machine Learning

Abstract: Nowadays, the continuous improvement and automation of industrial processes has become a key factor in many fields, and in the chemical industry, it is no exception. This translates into a more efficient use of resources, reduced production time, output of higher quality and reduced waste. Given the complexity of today's industrial processes, it becomes infeasible to monitor and optimize them without the use of information technologies and analytics. In recent years, machine learning methods have been used to automate processes and provide decision support. All of this, based on analyzing large amounts of data generated in a continuous manner. In this paper, we present the results of applying machine learning methods during a chemical sulphonation process with the objective of automating the product quality analysis which currently is performed manually. We used data from process parameters to train different models including Random Forest, Neural Network and linear regression in order to predict product quality values. Our experiments showed that it is possible to predict those product quality values with good accuracy, thus, having the potential to reduce time. Specifically, the best results were obtained with Random Forest with a mean absolute error of 0.089 and a correlation of 0.978.