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FHI finner ingen sammenheng mellom unges mentale helse og sosiale medier. Forskerne ignorerer at de studerer et sosialt nettverk, ikke en samling enkeltindivider....

Subsea umbilical and power cables contain a large number of contact interfaces between different geometries and materials. These complex interactions rise significant challenges for accurately considering contact surface properties by using traditional analytical solutions or finite element methods...

This study presents a comprehensive theoretical and experimental examination of Raman spectra for prevalent pesticide metabolites in Danish groundwater. The objective is to facilitate sensor development and enhance chemical identification processes by creating a database for the Raman spectra of ter...

Når dilemmaer ligger til grunn for strategiske valg, finnes det sjelden enkle svar. Hvert alternativ kan være både riktig og galt, alt etter hvilket perspektiv man har. I denne artikkelen presenterer vi et rammeverk for hvordan ledere og ledergrupper kan fasilitere refleksjon og dialog i slike...

SERS sensors offer high sensitivity for real-time molecular detection but face limitations due to sample drying and reproducibility in exposure to samples. Integrating SERS with microfluidics addresses these issues. Here, we discuss microfluidic designs and material selection to enhance SERS...

We report the fabrication and characterization of a flexible, nanostructured surface-enhanced Raman spectroscopy sensor designed for integration in wearable optical devices. This sensor utilizes the bio-compatible material FlexDym®, which offers excellent flexibility and advantages in manufacturing...

Micro-Electromechanical systems (MEMS) structures using piezoelectric thin films have often delicate mechanical structures (e.g. membranes) combined with a thin-film stack consisting of electrodes, the piezoelectric material and other materials such as stress compensation layers. Analytical models...

This paper presents the development of miniaturized microplasma sources for gas analysis based on micro-electromechanical systems (MEMS) technology. We discuss critical device design aspects, from FEM modeling and device concept to fabrication and experimental validation. A functional demonstrator...

The microstructure of the ternary CaO-SiO2-B2O3 systems in both molten and glassy states were investigated by using in situ high-temperature Raman spectroscopy, quantum chemistry ab initio calculation and molecular dynamics (MD) simulation. Glass samples with varying B2O3 content (0-12 mol%) and...

The evaluation of propagation of seismic waves in fractured porous media is a critical endeavor in Earth Sciences and, hence, assessing attenuation and velocity dispersion through numerical solution of Biot’s equations of poroelasticity in the frequency-space is of large significance. The generation...

A common approach to mitigate delays in railway networks and improve timetable robustness is to incorporate time supplements. These supplements allow trains to accommodate small disturbances and reduce knock-on delays, often by permitting trains to run at their maximum allowed speed. However, most...

The Medical Device Coordination Group (MDCG) 2019-16 guidelines provide a structured framework for cybersecurity in Connected Medical Devices (CMDs) throughout their lifecycle, offering guidance on how to fulfil all the relevant essential requirements outlined in Annex I of both the Medical Device...

Carbon Capture and Storage (CCS) provides a promising mitigation technology for reducing the anthropogenic emission of carbon dioxide (CO₂) to the atmosphere. Despite CO₂ having been stored safely below the seafloor and the likelihood of leakage is considered small, experimental studies addressing...

Snake robots have the potential of contributing vastly in areas such as rescue missions, fire-fighting and maintenance where it may either be too narrow or too dangerous for personnel to operate. This thesis reports novel results within modelling and control of snake robots as steps toward...

Split learning, a promising approach in privacy-preserving machine learning, decentralizes model training by dividing it among client devices and a central server. However, split learning has exhibited a certain level of slowness in its vanilla approach, mainly due to the serial processing of...