The current energy system is changing, mainly due to the rise of global energy consumption and the depletion of fossil energy sources. Therefore, promoting electric vehicles (EVs) and installing renewable energy resources ...

Our findings can enable organizations to be evidence-based when selecting management practices to achieve a higher return on investments in IT. We found a positive association with the realization of benefits when (i) ...

Partial orders and directed acyclic graphs are common data structures that arise naturally in numerous applications, and that define order between data points. Examples are orders of tasks in a project plan, transaction ...

We argue that there is a link between implicit computational complexity theory and reversible computation. We introduce inherently reversible programming languages which capture the complexity classes etime and Image 1. ...

Dry eye disease (DED) has a prevalence of between 5 and 50%, depending on the diagnostic criteria used and population under study. However, it remains one of the most underdiagnosed and undertreated conditions in ophthalmology. ...

Coalescence is a critical phenomenon in separation and transport processes. An improved understanding of coalescence can enhance current models predicting emulsion stability and separation. We here report a combined ...

Any attempt at a tight integration between semantic technologies and object oriented programming will invariably stumble over the gap between the two underlying object models. We illustrate how this semantic gap manifests ...

This study suggests a stochastic model for time series of daily zonal (circumpolar) mean stratospheric temperature at a given pressure level. It can be seen as an extension of previous studies which have developed stochastic ...

Distributed Acoustic Sensing (DAS) involves the transmission of laser pulses along a fiber-optic cable. These pulses are backscattered at fiber inhomogeneities and again detected by the same interrogator unit that emits ...

Ethics, explainability, responsibility, and accountability are important concepts for questioning the societal impacts of artificial intelligence and machine learning (AI), but are insufficient to guide the public sector ...

A vibrating surface in contact with a solid material will generate P- and S-waves in the solid. When the surface vibration is spatially attenuated, we must take into account that the generated waves are always inhomogeneous. ...

When neural networks are employed for high-stakes decision-making, it is desirable that they provide explanations for their prediction in order for us to understand the features that have contributed to the decision. At ...

Background There is an increasing interest in the role of epigenetics in epidemiology, but the emerging research field faces several critical biological and technical challenges. In particular, recent ...

Capillaries are the smallest vessels in the body which are responsible for delivering oxygen and nutrients to surrounding cells. Various life-threatening diseases are known to alter the density of healthy capillaries and ...

Background and aim Schizophrenia (SCZ) and bipolar disorder (BD) have a high comorbidity of alcohol use disorder (AUD), and both comorbid AUD and excessive alcohol consumption (AC) have been linked to greater illness ...

Background Evidence-based medicine propagates that medical/clinical decisions are made by taking into account high-quality evidence, most notably in the form of randomized clinical trials. Evidence-based ...

As a joint initiative, Aker BP, Lundin-Norway, Aker Solutions, TechnipFMC, Aibel and Aize, together with Sirius (the oil and gas research centre at the University of Oslo) have developed and demonstrated a common digital ...

Purpose This study aims to propose a service-dominant logic (S-DL)-informed framework for teaching innovation in the context of human–computer interaction (HCI) education involving large industrial projects. Design/m ...

Single-mode equivalent space-time representations of the acoustic wave propagating in a Biot poroelastic medium have previously been found only for asymptotic cases: In the low frequency regime, where the viscous skin depth ...

Digital requirements are essential for automated verification to work effectively. This case study will look at ways to digitize requirements in a project from the Oil & Gas sector, more specifically from an existing ...

In large-scale agile software development, many teams work together to achieve overarching project goals. The more teams, the greater the coordination requirements. Despite the growing popularity of large-scale agile, ...

We believe that challenging times demand HCI education to pay attention to current real-life, complex, systemic problems. Therefore, we suggest an integrated framework for teaching HCI that involves combining the transition ...

Many companies migrate to microservices because they help deliver value to customers quickly and continuously. However, like any architectural style, microservices are prone to architectural technical debt (ATD), which can ...

Changes in motor activity are core symptoms of mood episodes in bipolar disorder. The manic state is characterized by increased variance, augmented complexity and irregular circadian rhythmicity when compared to healthy ...

Background Matching treatment based on tumour molecular characteristics has revolutionized the treatment of some cancers and has given hope to many patients. Although personalized cancer care is an old ...

Argument mining is the process of automatic extraction of certain argu- mentation structures from data. Argument mining consists of several stages such as argument component detection, argument component clas- sification, ...

Artificial intelligence and machine learning have recently attracted considerable attention in the healthcare domain. The data used by machine learning algorithms in healthcare applications is often distributed over multiple ...

The 15 January 2022 Hunga, Tonga, volcano's explosive eruption produced the most powerful blast recorded in the last century, with an estimated equivalent TNT yield of 100–200 megatons. The blast energy was propagated ...

Background Machine learning (ML) methodology development for the classification of immune states in adaptive immune receptor repertoires (AIRRs) has seen a recent surge of interest. However, so far, there does not exist ...

The interaction design community has a long history of design and research for and with children, including designing installations for public spaces. This paper explores children's engagement in socio-cultural issues ...

This paper presents the design, control, and experimental evaluation of a novel fully automated robotic-assisted system for the positioning and insertion of a commercial full core biopsy instrument under guidance by ...

Abstract We describe an update of MirGeneDB, the manually curated microRNA gene database. Adhering to uniform and consistent criteria for microRNA annotation and nomenclature, we substantially expanded MirGeneDB ...

Privacy is a human right and an essential prerequisite for protecting fundamental human values, such as dignity and autonomy. However, people have difficulty understanding how their privacy is affected by the current ...

Teamwork is crucial in software development, particularly in agile development teams which are cross-functional and where team members work intensively together to develop a cohesive software solution. Effective teamwork ...

Most structured data today is still stored in relational databases, which makes it important to provide a translation between relational and semantic data. A relational to RDF mapping, such as R2RML [14], provides a way ...

Plants, fungi, humans and all other multicellular organisms go through the same process of growing step by step. Starting as a single cell with a genome containing all the genetic information of the organism, they grow ...

This thesis explores frugal digital innovation potentials for addressing health information systems challenges in resource-constrained settings. The main aim is to understand the technological, institutional, and social ...

Previous research on distributed teams indicates that physical distance between team members is problematic for team functioning. We advance this research by investigating the role of team members' psychological experiences ...

When analysing programs statically, one quickly runs into issues of too many states and too many transitions, which combine to make the state-space very large. Commutativity analysis is one strategy for reducing the ...

Background Policymakers need regular high-quality coverage data on care around the time of birth to accelerate progress for ending preventable maternal and newborn deaths and stillbirths. With increasing ...

Cyberattacks have the realistic potential of causing serious harm to humans, their assets and business processes. Cybersecurity is aimed at detecting, blocking and mitigating such threats and cyber threat intelligence is ...

The importance of a robust, yet responsive health information ecosystem has proven crucial with the COVID-19 pandemic. As contact tracing became a resource intensive task posing major challenges for the Norwegian public ...

Remote Direct Memory Access (RDMA) allows for direct memory access between separate computers and can decrease the overhead of inter-process communications (IPC) between connected computers. In combination with PCI Express ...

Denne oppgaven undersøker hvilke opplevelser togreisende legger vekt på i forbindelse med lengre togreiser. Ved å involvere deltakere fra målgruppen i å utforske designmuligheter i en digital designprosess, undersøker jeg ...

Electroencephalography (EEG) and magnetoencephalography (MEG) are among the most important techniques for non-invasively studying cognition and disease in the human brain. These signals are known to originate from cortical ...

Canary deployment is a well-known deployment strategy that allows companies to test their newest version of an application, also known as the canary, with a subset of the real network traffic. This enables engineers to ...

Background The limited availability of clinical texts for Natural Language Processing purposes is hindering the progress of the field. This article investigates the use of synthetic data for the annotation ...

Theorem proving formalizes the notion of deductive reasoning, while machine learning formalizes the notion of inductive reasoning. In this thesis, we present an overview of the current state of machine learning guided ...

Background Colorectal cancer is the 2nd leading cause of cancer-related deaths with few patients benefiting from biomarker-guided therapy. Mutation expression is essential for accurate interpretation of ...

The proliferation of technologies like Internet of Things (IoT) and Industrial IoT (IIoT) has led to rapid growth in the number of connected devices and the volume of data associated with IoT applications. It is expected ...

DRY (also known as Don’t Repeat Yourself) principle of software development has been a hot topic for more than three decades in IT world. More and more software developing groups enhance this principle and some corporations ...

Background With a motivation of quality assurance, machine learning techniques were trained to classify Norwegian radiology reports of paediatric CT examinations according to their description of abnormal ...

To memorize an experience, our brain is replaying associated sequences of neuronal activity in the hippocamus and associated regions. Since we remember only a fraction of our experiences, the brain must have a way to ...

We propose a novel integration of programming languages with semantic technologies. We create a semantic reflection mechanism by a direct mapping from program states to RDF knowledge graphs. This mechanism enables several ...

Health Information Systems (HIS) supports data managers in making informed decisions to allocate scarce resources. However, the benefits of HIS implementations in developing countries have been notoriously difficult to ...

Background Machine learning involves strategies and algorithms that may assist bioinformatics analyses in terms of data mining and knowledge discovery. In several applications, viz. in Life Sciences, it is ...

Background This trial evaluates interventions that utilize data entered at point-of-care in the Palestinian maternal and child eRegistry to generate Quality Improvement Dashboards (QID) for healthcare ...

Colonoscopy is considered the gold standard for detection of colorectal cancer and its precursors. Existing examination methods are, however, hampered by high overall miss-rate, and many abnormalities are left undetected. ...

This thesis explores empowerment in two equally important contexts. First, patient empowerment in rehabilitation. Second, empowerment of people with Mild Acquired Cognitive Impairments (MACI) in Participatory Design (PD) ...

In modern distributed systems, the slow speed of light is a true bottleneck. Due to this slow speed, packets sent over long distances will have significant latency. Depending on the context, this high latency can lead to ...

Algorithmic decision-making is rapidly evolving as a source of data-driven competitive advantage with important implications for analytical practices in multiple settings. Despite the ambitions for algorithmic and intelligent ...

Functional near-infrared spectroscopy (fNIRS) is a comparatively new noninvasive, portable, and easy-to-use brain imaging modality. However, complicated dexterous tasks such as individual finger-tapping, particularly using ...

This study investigates organizational strategies used to adapt to the digital innovation within the marketing industry, through an interpretative case study of a large Norwegian media agency, as part of a large Norwegian ...

Today the demand for large-scale Machine Learning (ML) models is increasing. Training such models require more and more hardware resources. Distributing ML training is a way to reduce training time. However, this depends ...

Denne oppgaven beskriver en case studie av NAV sine nettsider, med fokus på de utfordringene som nye brukere opplever ved bruk av NAV sine digitale tjenester. Denne case studien er gjennomført i perioden hvor Covid-19 ...

The ever-evolving threat landscape of cybersecurity has shown us that no bit of information is secure once enough time has elapsed. New methods of attack, analysis, and advancements in technology regularly break old ...

Abstract The aim of the present study was to describe the genetic structure of the Norwegian population using genotypes from 6369 unrelated individuals with detailed information about places of residence. Using standard ...

Robots operating in the real world will experience a range of different environments and tasks. It is essential for the robot to have the ability to adapt to its surroundings to work efficiently in changing conditions. ...

Avhandlingen tar for seg hvordan statsforvaltningen håndterer risiko knyttet til sin bruk av skytjenester og inneholder kvantitative og kvalitative undersøkelser rundt omfang av skytjenester og prosesser for tredjeparts ...

A proof of concept for a Watchdog Service for distributed object management.

Creating grippers that can perform tasks similar to a human hand's capability is a challenge yet to be solved. Most electrical actuators used in grippers have been geared, working at high numbers of revolutions per minute. ...

In robot drumming, performing double stroke rolls is a key ability. Human drummers learn to play double strokes by just trying it several times. For performing it, a model needs to be learned to provide anticipatory commands ...

In recent years, it has come to attention that governments have been doing mass surveillance of personal communications without the consent of the citizens. As a consequence of these revelations, developers have begun ...

Abstract Increased risk-taking is a central component of bipolar disorder (BIP) and is implicated in schizophrenia (SCZ). Risky behaviours, including smoking and alcohol use, are overrepresented in both disorders and ...

Parallel computations have become standard practice for simulating the complicated multi-phase flow in a petroleum reservoir. Increasingly sophisticated numerical techniques have been developed in this context. During the ...

A software product line (SPL) is a family of closely related software systems which capitalizes on the reusability and variability of the software products. An SPL can be modelled using a feature model, a tree-like structure ...

Most of the existing structured digital information today is still stored in relational databases. That’s why it is important for the Semantic Web effort to expose the information in relational databases as RDF, or allow ...

The thesis explores the use of transfer learning for automated segmentation of 2D echocardiograms in the situation where few labeled data are available for end-to-end training. The main focus is on transfer learning involving ...

The human brain seems to have the best of two worlds. It can solve complex tasks very quickly with little effort, and through the human body can be reacting to the environment heuristically. These types of interactions ...

C-type lectin-like domain family 16 member A (CLEC16A) is associated with autoimmune disorders, including multiple sclerosis (MS), but its functional relevance is not completely understood. CLEC16A is expressed in several ...

Modern multibeam echosounders (MBE) employ frequency-division techniques (FDT) to ensonify multiple sectors within the same ping cycle. This leads to improved performance in coverage rate, and yaw and pitch stabilization. ...

The large variety of compute-heavy and data-driven applications accelerate the need for a distributed I/O solution that enables cost-effective scaling of resources between networked hosts. For example, in a cluster system, ...