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We use a closed-loop algorithm to accurately program hafnium zirconium oxide (HZO) ferroelectric tunnel junctions (FTJs) to arbitrary chosen target conductance values. The key enabler is suppression of conductance growth. We have identified two different mechanisms contributing to the total conductance of FTJs. By controlling both, we demonstrated an up to threefold increase of the usable conducta
This study is an attempt to take advantage of a cerebellar model to control a biomimetic arm. The cerebellar controller is a modified MOSAIC model which adaptively controls the arm. We call this model ORF-MOSAIC (Organized by Receptive Fields MOdular Selection And Identification for Control). The arm features a musculoskeletal model which is controlled through muscle activations by means of optimi
Patrik Andersson Patrik Andersson är director musices vid Lunds universitet och föreståndare/prefekt för dess musikcentrum Odeum, samt dirigent och konstnärlig ledare för Akademiska Kapellet och universitetslektor i orkesterdirigering. Patrik har även givit ut läroböcker i orkesterdirigering: Orkesterdirigering. Partituranalys, gestik och ledarskap (Studentlitteratur 2013) och Orkesterledning. Led
https://www.odeum.lu.se/om-odeum/personal - 2026-07-15
If you are intermittently employed, which means hourly paid, you will report your working time digitally in Primula SSC. To be able to report in Primula SSC, you need a Lucat login. If you do not have one already, please contact the person who is responsible for your employment or your HR administrator.How-to time reportGo to Primula's website, choose Lund University and log in with your LU accoun
https://www.biology.lu.se/internal/employment/time-reporting - 2026-07-15
Senior lecturer Contact details Email: mattias [dot] wengelin [at] ses [dot] lu [dot] se Phone: +46 42 35 66 57 Mobile: +46 79 066 25 17Organisation Department of Service Studies WebpageMattias Wengelins profile in Lund University research portalOther affiliations Affiliated researcher Centre for preparedness and resilience (LUPREP) Publications Displaying of publications. Sorted by year, then tit
https://www.ses.lu.se/en/mattias-wengelin - 2026-07-15
Populärvetenskaplig beskrivning av forskningsprojektet Beslutsstöd Bo Tillgängligt (BBT), Oskar Jonsson 180410 1 Beslutsstöd Bo Tillgängligt Forskningsprojektet Beslutsstöd Bo Tillgängligt (BBT) handlar om förbättrad tillgänglighet i flerfamiljshus. Projektet finansieras under perioden 2018-2020 av Formas, ett statligt forskningsråd för hållbar utveckling. Den samhällsutmaning som projektet tar si
Feminist foreign policy initiatives have since they first appeared weathered criticism when put in relation to an active weapons export often to non-democratic states violating women’s rights. This paper then examines the Swedish case by using argumentation analysis as method to test the moral commitments of Sweden’s foreign policy initiative against recent arms deals. It was made to explore the p
Extensive COVID-19 information can generate information overload and confusion. Denmark and Sweden adopted different COVID-19 management strategies. Aim This study aimed to compare search strategies, perceptions and effects of COVID-19 information, in general and specifically in social media, in residents in Denmark and Sweden. Subject and methods Quantitative data from a sample of respondents (n AimExtensive COVID-19 information can generate information overload and confusion. Denmark and Sweden adopted different COVID-19 management strategies.This study aimed to compare search strategies, perceptions and effects of COVID-19 information, in general and specifically in social media, in residents in Denmark and Sweden.Subject and methodsQuantitative data from a sample of respondents (n = 61
We report on local nowcasting (short-term forecasting) of coronavirus disease (COVID-19) hospitalizations based on syndromic (symptom) data recorded in regular healthcare routines in Östergötland County (population ≈465,000), Sweden, early in the pandemic, when broad laboratory testing was unavailable. Daily nowcasts were supplied to the local healthcare management based on analyses of the time la
Over three-quarters of the world’s poor live in rural areas and many of them depend on agriculture to earn a living. In a context of climate change, Agriculture, Forestry and Other Land Use (AFOLU) is addressed as one of the main sources of Greenhouse Gas (GHG) emissions. Hence, the sustainability transition in the agricultural sector has become one of the most prominent development areas in the 2
Head of Department, senior lecturer, associate professor Contact details Email: malin [dot] zillinger [at] ses [dot] lu [dot] se Phone: +46 42 35 66 11Organisation Department of Service Studies WebpageMalin Zillingers profile in Lund University research portalOther affiliations Senior lecturer Department of Service Studies Affiliated professor CIRCLE Affiliated researcher Centre for preparedness a
https://www.ses.lu.se/en/malin-zillinger - 2026-07-15
For multi-vehicle complex traffic scenarios in shared spaces such as intelligent intersections, safe coordination and trajectory planning is challenging due to computational complexity. To meet this challenge, we introduce a computationally efficient method for generating collision-free trajectories along predefined vehicle paths. We reformulate a constrained minimum-time trajectory planning probl
Time constants in spiking neural networks (SNNs) are crucial for determining performance. While prior work shows that learning time constants can improve accuracy, it typically assumes near-optimal initial values and rarely examines recovery from poor initializations. We systematically study how membrane and synaptic time constants affect SNN performance using multiple training strategies. Our res
This paper explores the dynamics of human-robot collaboration through a comparative study of human-assisted and system-assisted approaches in a search and rescue application. Leveraging virtual environments and mixed-reality interfaces, the study evaluates task performance, workload, usability, and subjective experiences of participants. Results indicate that the system-assisted approach significa
A major problem in CTG analysis is that detectionof a suspicious pattern in short intervals so that one can reducethe damage caused by a delay of an automatic monitoringsystem. In this paper, we aim for improving intrapartumsurveillance based on signal processing and machine learningtechniques. We evaluate a classification method on a real dataset.
This article builds on recent works on witnessing, socially engaged documentary filmmaking and studies on the role of new digital technologies for witnessing trauma, recording memories and enabling activism. In a devastating earthquake in Sichuan province on 12 May 2008, almost 90,000 people, at least 5000 of them being children, died. Parents and bystanders provided the first footage of the earth
Completely analyzed and closed issue reports in software development projects, particularly in the development of safety-critical systems, often carry important information about issue-related change locations. These locations may be in the source code, as well as traces to test cases affected by the issue, and related design and requirements documents. In order to help developers analyze new issu
Recent advances in stroke treatment have provided effective tools to successfully treat ischemic stroke, but still a majority of patients are not treated due to late arrival to hospital. With modern stroke treatment, earlier arrival would greatly improve the overall treatment results. This prospective study was performed to asses the capability of bilateral accelerometers worn in bracelets 24/7 to
Simultaneous Localization And Mapping (SLAM) is an important component in solving the problem of autonomous navigation — allowing machines such as selfdriving cars and mobile robots to find their way in the world without human instruction. Though there is a steadily growing body of literature in the field of SLAM, far fewer works currently address using hardware acceleration to speed up this compu
Energies with high-order non-submodular interactions have been shown to be very useful in vision due to their high modeling power. Optimization of such energies, however, is generally NP-hard. A naive approach that works for small problem instances is exhaustive search, that is, enumera- tion of all possible labelings of the underlying graph. We propose a general minimization approach for large gr
