Search results for "Matematikk"

Genomic analysis of anadromous brown trout (Salmo trutta) reveals new insights into connectivity patterns and population divergence

2018

Master's thesis Aquatic Ecology BIO500 - University of Agder 2018 A large body of studies on brown trout genetics currently exists. However, fewer of these studies have been conducted on anadromous brown trout (sea trout) and have been limited to only a few genetic markers like allozymes, mtDNA or microsatellites. Here we analyzed population structure and connectivity in sea trout applying a modern genomic approach, analyzing 503 single nucleotide polymorphic variants (SNP’s) by next generation sequencing. We studied four streams along the Skagerrak coast and found an overall significant population structure (FST = 0.0161; P<0.01) which further seemed to constitute of three genetically dist…

Kopepoder langs Skagerrakkysten - En oversikt basert på morfologisk og molekylærgenetisk identifisering

2018

Masteroppgave akvatisk økologi BIO500 - Universitetet i Agder 2018 Konfidensiell til / confidential until 01.07.2023

Theoretical Studies in Solar Cell Physics

2022

Paper VI is excluded from the dissertation until it will be published. In this thesis, we develop analytical models with the purpose of expanding knowledge and gaining understanding of some of the internal mechanisms that limit the efficiency of single-junction solar cells. We focus on three distinct topics: fundamental energy losses, the temperature sensitivity of single-junction solar cells and the effect of the series resistance on the maximum power point. The thesis is divided in two parts. The first part reviews basic solar cell physics topics and introduces some more advanced concepts to provide the reader with the necessary background to understand the attached papers. The latter con…

Recolonization and recovery of an Arctic benthic community subject to mine-tailings deposits

2023

Information Quality in Secondary Use of EHR Data : A Case Study of Quality Management in a Norwegian Hospital

2019

The motivation for undertaking this study relates to my experiences from practice in a public hospital, where I have observed variations in reaching organizational goals of quality management informed by electronic health records (EHR) data. For example, while some departments and units have long-time traditions in meeting the quality goals that are set locally, regionally, or nationally, other departments and units struggle to meet the same quality goals. Thus, generating actionable information by reusing routinely collected EHR data does not necessary lead to action in response to the information. This process of generating information from existing EHR data, and communicating and using s…

SMS-based Real-time Data Collection for Evaluation of Situational Awareness and Common Operational Picture : Lessons Learned from A Field Exercise

2020

Managing complex multi-agency emergency operations requires that the key actors have a holistic, correct and dynamic situational awareness (SA) and that the involved actors establish a common operational picture (COP). Establishing SA and COP are key objectives in many multi-agency exercises, however, reported research shows limitations in existing methods and approaches for collecting the data required for evaluating this. By being able to capture near real-time information during different phases of the exercise we will be better positioned to identify what works well and what does not work in the process of establishing SA and COP. Our paper presents an example of real-time data collecti…

Introduction to the HICSS-54 Software Development for Mobile Devices, the Internet-of-Things, and Cyber-Physical Systems Minitrack

2021

Towards Designing AI-Enabled Adaptive Learning Systems

2023

Artificial Intelligence (AI) is increasingly becoming an important component of the education sector, both in primary education and in higher education. The rapid advancement of computing technologies and big data processing techniques has made it possible to implement AI in education. AI and machine learning techniques are now being used to deliver chatbots like ChatGPT; intelligent tutoring systems; automatic grading systems; and other advanced learning systems like AI Adaptive Learning Systems, in the education sector. These advanced learning systems, AI enabled Adaptive Learning Systems (AI-ALS), is the focus of my doctoral dissertation. AI-ALS are the most advanced generation of adapti…

Supporting Humanitarian Relief Distribution Decision-Making under Deep Uncertainty : A System Design Approach

2020

With respect to copyright, all the papers were excluded from the dissertation. Disasters threaten society with widespread destruction of infrastructure and livelihood. For their survival, affected inhabitants depend on immediate humanitarian assistance from diverse organizations. During quick responses, humanitarian decision- makers (HDMs) act rapidly to distribute necessary relief goods, despite the deep, prevailing uncertainty that arises from scarce, conflicting, and uncertain information. To support HDMs in humanitarian relief distribution (HRD) decision-making, humanitarian logistics (HL) researchers have developed various mathematical models. These models are, however, specific to dis…

Enhancing the Benefits Management Model for Complex eHealth Efforts

2020

This thesis suggests five ways to improve BM in complex eHealth efforts. First, the concept of BR was defined to clarify the existing conflation of the BR and BM concepts. Second, an extended and enhanced BMM was developed that incorporated the BM context, levels of complexity for both organizational and interorganizational initiatives, and the critical aspects of learning and governance. Third, three propositions concerning learning and governance in BM were suggested based on the new model, which can be used to inform future BM studies and guide empirical work. Fourth, the propositions were further translated into a six-question checklist to stimulate learning from the BM process itself. …