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Efficient and optimised resource allocation for augmented, virtual and mixed reality applications

Extended Reality (XR) serves as a broad term that encompasses several immersive technologies, including Augmented Reality (AR), Mixed Reality (MR), and Virtual Reality (VR). Currently, most XR devices are connected by cables, which restrict user mobility and negatively impact the overall Quality of Experience (QoE) for users. XR devices face limitations not only in terms of connectivity but also i

Evaluation of a new prediction model for the estimation of risk of obstetrical anal sphincter injuries

Background: Obstetrical anal sphincter injuries are complications of vaginal birth that have the potential to cause substantial maternal morbidity. Predicting these injuries might help to improve maternal care as well as antenatal counseling and patient education. Previous attempts to create prediction models have in many cases involved variables only known postpartum, which limits their use in an

A Lagrangian view on severe haze in Beijing : local and long-range sources of trace gases and primary and secondary aerosols

Beijing is particularly prone to frequent wintertime haze episodes. In this study, we introduce the FLEXPART (FLEXible PARTicle dispersion model) and SOSAA (the model to Simulate the concentration of Organic vapors, Sulfuric Acid, and Aerosols) modeling system for air quality analysis and applied the newly developed modeling system to a severe pollution episode during a case study in Beijing in No

Higher hospital level does not improve 30-day survival after road traffic accidents

Globally, road traffic accidents (RTAs) remain a major cause of death, particularly among individuals aged 15–30 years. While Sweden has been at the forefront of traffic safety through the Vision Zero initiative, in-hospital management remains crucial in determining RTA outcomes. Drawing on North American evidence suggesting improved survival at trauma centres, the Swedish healthcare system has in

Episodic events are flexibly encoded in both integrated and separated neural representations

Remembering everyday events involves noticing what different experiences share and preserving the details that set them apart, yet the neural processes supporting this balance remain unclear. Here, we record EEG while participants view naturalistic movie scenes that introduce episodic events with overlapping elements. Using time-resolved representational similarity analysis, we find that these eve

Associations between breathlessness and individuals' satisfaction with sexual life : a nationally representative internet survey

INTRODUCTION: Sexual life is important for many people and may be limited by breathlessness. We evaluated associations between breathlessness and individuals' perceived satisfaction with sexual lives and explored mediating factors in this relationship. METHODS: A cross-sectional, online, population-based survey of Australian adults with key demographics (age, sex, rurality, state/territory) reflec

The NILS Study Protocol : A Retrospective Validation Study of an Artificial Neural Network Based Preoperative Decision-Making Tool for Noninvasive Lymph Node Staging in Women with Primary Breast Cancer (ISRCTN14341750)

Newly diagnosed breast cancer (BC) patients with clinical T1–T2 N0 disease undergo sentinel-lymph-node (SLN) biopsy, although most of them have a benign SLN. The pilot noninvasive lymph node staging (NILS) artificial neural network (ANN) model to predict nodal status was published in 2019, showing the potential to identify patients with a low risk of SLN metastasis. The aim of this study is to ass

How is capability assessment related to risk assessment? Evaluating existing research and current application from a design science perspective

Several countries use capability assessments as a part of their efforts to manage risk. However, it is unclear how such assessments are connected to other risk management activities, e.g. risk assessment. Therefore, the aim of the present paper is to present a study of how capability assessment is related to risk assessment. Capability assessment methods were identified through a scoping study and

Hydraulic Parameter Estimation for District Heating Based on Laboratory Experiments

In this paper we consider calibration of hydraulic models for district heating networks based on operational data. We extend previous theoretical work on the topic to handle real-world complications, namely unknown valve characteristics and hysteresis. We generate two datasets in the Smart Water Infrastructure Laboratory in Aalborg, Denmark, on which we evaluate the proposed procedure. In the firs

Decentralized PI-control and Anti-windup in Resource Sharing Networks

We consider control of multiple stable first-order systems which have a control coupling described by an M-matrix. These agents are subject to incremental sector-bounded nonlinearities. We show that such plants can be globally asymptotically stabilized to a unique equilibrium using fully decentralized proportional integral anti-windup-equipped controllers subject to local tuning rules. In addition

Experiences from conducting rapid reviews in collaboration with practitioners — Two industrial cases

Context: Evidence-based software engineering (EBSE) aims to improve research utilization in practice. It relies on systematic methods to identify, appraise, and synthesize existing research findings to answer questions of interest for practice. However, the lack of practitioners’ involvement in these studies’ design, execution, and reporting indicates a lack of appreciation for the need for knowle

Demonstrating reconfigurability in water-based electromagnetic devices using a 3D-printed siphon

The rise of water-based electromagnetic devices opens up new possibilities for controlling electromagnetic performance due to the liquid state of crucial parts of the device. This letter proposes the siphon mechanism as a novel way to achieve reconfigurability in these types of electromagnetic devices. To demonstrate this, a simple polarization-reconfigurable device based on a siphon is introduced

Analysis and design of a GHz bandwidth adaptive bias circuit for an mmW Doherty amplifier

This paper derives theoretical results for adaptive bias in Doherty amplifiers and presents the design and measurements of an integrated adaptive bias circuit tailored for high peak-to-average high bandwidth signals. Fundamental equations for output power, impedance, and efficiency of the complete Doherty amplifier are derived. Even with ideal transistor models, the Doherty amplifier is fundamenta

Hilbert Metric for Nonlinear Consensus with Varying Topology

New results on continuous time nonlinear consensus under varying topology are presented. The results are proved utilizing non Lyapunov based methods, i.e., the Hilbert metric, showing the possibility of further investigation of Hilbert metric for consensus and synchronization problems.

On the H2 optimal control of uniformly damped mass-spring networks

In this paper we provide an analytical solution to an H2 optimal control problem, that applies whenever the process corresponds to a uniformly damped network of masses and springs. The solution covers both stable and unstable systems, and illustrates analytically how damping affects the levels of achievable performance. Furthermore, the resulting optimal controllers can be synthesised using passiv

Stability Analysis of Trajectories on Manifolds with Applications to Observer and Controller Design

This paper examines the local exponential stability (LES) of trajectories for nonlinear systems on Riemannian manifolds. We present necessary and sufficient conditions for LES of a trajectory on a Riemannian manifold by analyzing the complete lift of the system along the given trajectory. These conditions are coordinate-free which reveal fundamental relationships between exponential stability and

SkiROS2: A Skill-Based Robot Control Platform for ROS

The need for autonomous robot systems in both the service and the industrial domain is larger than ever. In the latter, the transition to small batches or even “batch size 1” in production created a need for robot control system architectures that can provide the required flexibility. Such architectures must not only have a sufficient knowledge integration framework. It must also support autonomou

Chemical composition of airborne particles inside and outside a Swedish residence assessed by real time aerosol mass spectrometry

A number of deleterious health effects have been identified from exposure to outdoor air-borne particulate matter. This issue is complicated by the fact that people are spending most of the time indoors, where particles of both indoor and outdoor origin are present. The aim of this work was to assess the differences in particle chemical composition inside and outside of the residence and gain bett