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. ...

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 ...

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 ...

Background Subclonal evolution during primary breast cancer treatment is largely unexplored. We aimed to assess the dynamic changes in subclonal composition of treatment-naïve breast cancers during neoadjuvant ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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. ...

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 ...

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, ...

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 ...

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 ...

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 ...

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 ...

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, ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Industrial analytics that includes among others equipment diagnosis and anomaly detection heavily relies on integration of heterogeneous production data. Knowledge Graphs (KGs) as the data format and ontologies as the ...

In the context of Industry 4.0 and Internet of Things (IoT), modern manufacturing and production lines are equipped with software systems and sensors that constantly collect and send a high volume of data.

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 ...

Video monitoring and surveillance of commercial fisheries in world oceans has been proposed by the governing bodies of several nations as a response to crimes such as overfishing. Traditional video monitoring systems may ...

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 ...

Intelligent robots aimed for performing music and playing musical instruments have been developed in recent years. With the advancements in artificial intelligence and robotic systems, new capabilities have been explored ...

Introduction. Modern industry witnesses a fast growth in volume and complexity of heterogeneous manufacturing (big) data thanks to the technological advances of Industry 4.0, including development in perception, communication, ...

Generating genuinely creative and novel artifacts with machine learning is still a challenge in the world of computational science. A creative machine learning agent can be beneficial for applications where novel solutions ...

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 ...

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 ...

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 ...

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 ...

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 ...

Background Studies of shifts in microbial community composition has many applications. For studies at species or subspecies levels, the 16S amplicon sequencing lacks resolution and is often replaced by ...

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 ...

Background Colorectal cancer (CRC) screening reduces CRC incidence and mortality. However, current screening methods are either hampered by invasiveness or suboptimal performance, limiting their effectiveness ...

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 ...

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 ...

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 ...

Blending spline constructions are generated by blending local geometry using a smooth basis function. Compared with de facto industry standards used within CAGD, blending spline constructions are structurally complex. However, ...

In the natural sciences, there are many examples of physical systems which can be modeled by differential equations, such as the flow of water through soil or the deformation of a bridge under load. By developing mathematical ...

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 ...

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 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 ...

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 ...

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 ...

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 ...

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. ...

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 ...

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) ...

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 ...

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 ...

In this thesis, we have studied how to support sustainable consumption through design interventions and have through our design process created a practice-oriented methodology to investigate and intervein in a collection ...

In this thesis, we have studied how to support sustainable consumption through design interventions and have through our design process created a practice-oriented methodology to investigate and intervein in a collection ...

A general issue in climate science is the handling of big data and running complex and computationally heavy simulations. In this paper, we explore the potential of using machine learning (ML) to spare computational time ...

Accurate positioning of autonomous underwater vehicles is a major challenge. The long-term drift is problematic if global position updates are not available, and for applications such as repeat-pass interferometry and ...

Predicting the future using deep learning models is a research field of increasing interest. However, there is a lack of established evaluation methods for assessing their predictive abilities. Images and videos are targeted ...

We present an overview of the detection of point scatterers in ultrasound images and suggest strategies for evaluating and measuring the detection performance. We use synthetic aperture Field II simulations of a point ...

Supply chain (SC) activities generate huge amount of data that can be used in decision making processes. However, proper data analytics techniques are required to combine, organize, and analyze data from different sources ...

It is increasingly common to introduce agile coaches to help gain speed and advantage in agile companies. Following the success of Spotify, the role of the agile coach has branched out in terms of tasks and responsibilities, ...

Eliciting scalability requirements during agile software development is complicated and poorly described in previous research. This article presents a lightweight artifact for eliciting scalability requirements during agile ...

Given the considerable success of companies such as Apple, Amazon or Airbnb, the term platform is on everyone’s lips today. Accordingly, platforms have long since also found their way into service science. However, mastering ...

The transcription factor MYB is a master regulator in haematopoietic progenitor cells and a pioneer factor affecting differentiation and proliferation of these cells. Leukaemic transformation may be promoted by high MYB ...

For generic software such as a health information system to be effective it must be properly adapted to its local environment. This localization often requires that applications be remade from scratch, something that puts ...

Modern communication systems and networks, e.g., Internet of Things (IoT) and cellular networks, generate a massive and heterogeneous amount of traffic data. In such networks, the traditional network management techniques ...

Purpose Mental illness presents a huge individual, societal and economic challenges, currently accounting for 20% of the worldwide burden of disease. There is a gap between the need for and access to services. Digital ...

Gastrointestinal (GI) endoscopy has been an active field of research motivated by the large number of highly lethal GI cancers. Early GI cancer precursors are often missed during the endoscopic surveillance. The high missed ...

To attain their goals, attackers have developed highly automated intelligence-driven attack capabilities. In contrast, defenders are still challenged by prolonged detection and response times due to their insufficient ...

Abstract Musical expertise improves the precision of timing perception and performance – but is this expertise generic, or is it tied to the specific style(s) and genre(s) of one’s musical training? We asked expert musicians ...

Deploying a new network architecture in the Internet requires changing some, but not necessarily all elements between communicating applications. One way to achieve gradual deployment is a proxy or gateway which ''translates'' ...

Polydimethylsiloxane (PDMS) has been used in microfluidic systems for years, as it can be easily structured and its flexibility makes it easy to integrate actuators including pneumatic pumps. In addition, the good optical ...

Grid cells in the medial entorhinal cortex (MEC) exhibit remarkable spatial activity patterns with spikes coordinated by theta oscillations driven by the medial septal area (MSA). Spikes from grid cells progress relative ...

Currently, most acoustic positioning strategies are based on broadband coding and the pulse compression technique to obtain better accuracy and robustness against in-band noise. However, the accuracy and robustness of these ...