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Early design stages of a refreshable pin display : user involvement and design recommendations

When designing novel technology, many of the important design decisions tend to be taken early in the process, which is also when it is usually easier to modify the design. Thus, it is important to learn as much as possible, as early as possible in any design process. This work is carried out within the EU project ABILITY, which aims at developing novel refreshable tactile displays. Previously, we

LAS22 (re)Activating architectures

The 2022 edition of Lund Architecture Symposium (LAS22) will engage in (re)activating architectures. During recent years, architecture has frequently been used to communicate the ramifications of contemporary life and culture. Rarer is the communication of architecture’s role within these ramifications. Responding to this dilemma, this symposium will explore architecture that takes a much more act

On properties of hydraulic equilibria in district heating networks

District heating networks are an integral part of the energy system in many countries. In future smart energy systems, they are expected to enhance energy flexibility and support the integration of renewable and waste energy sources. An important aspect of these networks is the control of flow rates, which dictates the heat delivered to consumers. This paper concerns the properties of flow rates i

Construction robot prototype : "Bettan"

Construction robot prototype for onsite work. Consists of an ABB IRB4600 mounted on a spindle crane chassi for mobility. Housed in a container for weather protection and logistics.

Challenging assumptions about migrant language use : Evidence from a Swedish study with the Experience Sampling Method and the Lang-Track-App

In an era of global migration, where public discourse often assumes that migrants lack exposure to and command of local majority language(s), it is a crucial research task to understand how migrants learn and use new languages in their everyday lives. This study provides empirical evidence about the quantity and nature of everyday language exposure and use (LEU) among migrants in Sweden. Using the

Nonlinear Dynamical Unbalanced Optimal Transport : Relaxation and Duality

In this paper, we introduce a generalized dynamical unbalanced optimal transport framework by incorporating limited control input and mass dissipation, addressing limitations in conventional optimal transport for control applications. We derive a convex dual of the problem using dual optimal control techniques developed before and during the 1990s, transforming the non-convex optimization into a m

ROSSMARie: A Domain-Specific Language To Express Dynamic Safety Rules and Recovery Strategies for Autonomous Robots

Ensuring functional safety is a critical challenge for autonomous robots, as they must operate reliably and predictably despite uncertainty. However, existing safety measures can over-constrain the system, limiting the robot’s availability to perform its assigned task. To address this problem, we propose a more flexible strategy that equips robots with theability to adapt to system failures and re

Towards optimization of anomaly detection in DevOps

Context: DevOps has recently become a mainstream solution for bridging the gaps between development (Dev) and operations (Ops) enabling cross-functional collaboration. The DevOps concept of continuous monitoring may bring a lot of benefits to development teams such as early detection of run-time errors and various performance anomalies. Objective: We aim to explore deep learning (DL) solutions for

Conversion efficiency of flight power is low, but increases with flight speed in the migratory bat Pipistrellus nathusii

The efficiency with which flying animals convert metabolic power to mechanical power dictates an individual's flight behaviour and energy requirements. Despite the significance of this parameter, we lack empirical data on conversion efficiency for most species as in vivo measurements are notoriously difficult to obtain. Furthermore, conversion efficiency is often assumed to be constant across flig

A Literature Survey of Assertions in Software Testing

Assertions are one of the most useful automated techniques for checking program’s behaviour and hence have been used for different verification and validation tasks. We provide an overview of the last two decades of research involving ‘assertions’ in software testing. Based on a term–based search, we filtered the inclusion of relevant papers and synthesised them w.r.t. the problem addressed, the s

Age and sex differences in cause-specific excess mortality and years of life lost associated with COVID-19 infection in the Swedish population

Background: Estimating excess mortality and years of life lost (YLL) attributed to coronavirus disease 19 (COVID-19) infection provides a comprehensive picture of the mortality burden on society. We aimed to estimate the impact of the COVID-19 pandemic on age- and sex-specific excess mortality and YLL in Sweden during the first 17 months of the pandemic. Methods: In this population-based observati

Storage Assignment using Nested Annealing and Hamming Distances

The assignment of products to storage locations significantly impacts the efficiency of warehouse operations. We propose a multi-phase optimizer for a Storage Location Assignment Problem (SLAP) where solution quality is based on a distance estimate of future-forecasted order picking. Candidate assignments are first sampled using a Markov Chain accept/reject method. Future-forecasted pick-rounds ar

Development and initial validation of a multivariable predictive Early Adversity Scale for Schizophrenia (EAS-Sz) using register data to quantify environmental risk for adult schizophrenia diagnosis after childhood exposure to adversity

Background Additional to a child's genetic inheritance, environmental exposures are associated with schizophrenia. Many are broadly described as childhood adversity; modelling the combined impact of these is complex. We aimed to develop and validate a scale on childhood adversity, independent of genetic and other environmental liabilities, for use in schizophrenia risk analysis models, using data

Viral vector-mediated overexpression of α-synuclein as a progressive model of Parkinson's disease

The discovery of the role of α-synuclein in the pathogenesis of Parkinson's disease (PD) has opened new possibilities for the development of more authentic models of Parkinson's disease. Recombinant adeno-associated virus (AAV) and lentivirus (LV) vectors are efficient tools for expression of genes locally in subsets of neurons in the brain and can be used to express human wild-type or mutated α-s

GDNF fails to exert neuroprotection in a rat {alpha}-synuclein model of Parkinson's disease.

The neuroprotective effect of the glial cell line-derived neurotrophic factor has been extensively studied in various toxic models of Parkinson's disease. However, it remains unclear whether this neurotrophic factor can protect against the toxicity induced by the aggregation-prone protein α-synuclein. Targeted overexpression of human wild-type α-synuclein in the nigrostriatal system, using adeno

Radial head and neck fractures

Popular Abstract in Swedish Strålbensfrakturer i armbågsleden I denna avhandling har jag försökt kartlägga hur det går för individer som drabbats av ett benbrott i anslutning till armbågen. I underarmen finns två ben, strålbenet och armbågsbenet. Strålbenets övre del ledar dels mot överarmsbenet men också mot armbågsbenet. När en person ramlar med utsträckt arm finns det risk att det uppstår ett All elbow fractures between 1969 – 1979 (n=2965) registered at the radiographic archives at the Malmö University Hospital, where all radiographs are saved since a century, were evaluated. Fractures of the radial head and neck were classified according to the by Broberg and Morrey modified Mason classification. A Mason type I fracture is a less than 2 mm displaced fracture of the radial head or nec

Indication of cracking during pressing of advanced thin plates using an AE-based monitoring system

The acoustic emission that is detectable in the forming of complex thin part plates contains information about the quality of the pressed plates. The information can be used as process control and to filter out advanced thin plates with defects such as cracks. The article describes the results obtained in a try-out pressing process in special developed punch-die pairs with different pressing

eHealth in Pediatric Surgery : Impact on Postsurgical Care After Reconstructive Surgery for Anorectal Malformations and Hirschsprung's Disease

Background: To support care after discharge following surgery for anorectal malformations (ARM) and Hirschsprung's disease (HD), an eHealth device was invented, offering families bilateral communication through chat, photo, questionaries and video. Aim: To explore the impact of eHealth on postoperative patterns of expert consultation, complications and treatment after discharge following surgery f

Optimal Control on Positive Cones

An optimal control problem on finite-dimensional positive cones is stated. Under a critical assumption on the cone, the corresponding Bellman equation is satisfied by a linear function, which can be computed by convex optimization. A separate theorem relates the assumption on the cone to the existence of minimal elements in certain subsets of the dual cone. Three special cases are derived as examp

Attack Stealthiness and Detection of Multiagent Systems : A Zero-Sum Formulation

Cybersecurity has in recent years emerged as a paramount concern in the design and operation of industrial systems and civil infrastructures, due mainly to their susceptibility to malicious cyber attacks which take advantage of the vulnerability of communication networks and IT devices. In this paper, we investigate such an attack and counter attack scenario by considering multiagent systems, a so