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VNN : verification-friendly neural networks with hard robustness guarantees

Machine learning techniques often lack formal correctness guarantees, evidenced by the widespread adversarial examples that plague most deep-learning applications. This lack of formal guarantees resulted in several research efforts that aim at verifying Deep Neural Networks (DNNs), with a particular focus on safety-critical applications. However, formal verification techniques still face major sca

DMEL: THE DIFFERENTIABLE LOG-MEL SPECTROGRAM AS A TRAINABLE LAYER IN NEURAL NETWORKS

In this paper we present the differentiable log-Mel spectrogram (DMEL) for audio classification. DMEL uses a Gaussian window, with a window length that can be jointly optimized with the neural network. DMEL is used as the input layer in different neural networks and evaluated on standard audio datasets. We show that DMEL achieves a higher average test accuracy for sub-optimal initial choices of th

Towards Generation of Human Hematopoietic Stem Cells from Pluripotent Stem Cells.

Popular Abstract in Swedish Idag har patienter med blodcancer (leukemi) eller genetiskt betingade blodsjukdomar (sickelcellanemi etc.) begränsad tillgång till behandlingar som effektivt och riskfritt botar sjukdomstillståndet. Detta arbete inkluderar forskningsresultat ämnade att bidra till utveckling av konceptuellt nya behandlingsmetoder för olika typer av blodsjukdomar. Ett fungerande blodsysteThere is a pressing need for compatible Hematopoietic Stem Cells (HSCs), in high quantities and of good clinical quality, to ensure optimal treatment for patients with various blood malignancies. Pluripotent Stem Cells (PSCs) have the potential to be a source for generating HSCs. The indefinite expansion capacity of PSCs, combined with the possibility of creating these cells from patient-specific

Risk factors for cancers of unknown primary site: Results from the prospective EPIC cohort

Cancer of unknown primary site (CUP) may be called an orphan disease, as it is diagnosed when metastases are detected while the primary tumor typically remains undetected, and because little research has been done on its primary causes. So far, few epidemiological studies, if any, have addressed possible risk factors for CUP. We analyzed data from the European Prospective Investigation into Cancer

Enhanced science-stakeholder communication to improve ecosystem model performances for climate change impact assessments.

In recent years, climate impact assessments of relevance to the agricultural and forestry sectors have received considerable attention. Current ecosystem models commonly capture the effect of a warmer climate on biomass production, but they rarely sufficiently capture potential losses caused by pests, pathogens and extreme weather events. In addition, alternative management regimes may not be inte

Exploring Bottlenecks in Market-Driven Requirements Management Processes with Discrete Event Simulation

This paper presents a study where a market-driven requirements management process is simulated. In market-driven software development, generic software packages are released to a market with many customers. New requirements are continuously issued, and the objective of the requirements management process is to elicit, manage, and prioritize the requirements. In the presented study, a specific requ

Antimicrobial resistance in urinary pathogens among Swedish nursing home residents remains low: a cross-sectional study comparing antimicrobial resistance from 2003 to 2012

Background: There are several risk factors for the colonisation, infection and spreading of antibiotic resistant bacteria among elderly residents of nursing homes. An updated estimate of the native prevalence of antimicrobial resistance in uropathogens among Swedish nursing home residents is needed. Methods: Urine specimens were collected for culture and antimicrobial susceptibility testing agains

Impacts of the EU's Common Agricultural Policy “Greening” Reform on Agricultural Development, Biodiversity, and Ecosystem Services

The EU's Common Agricultural Policy (CAP) has had limited success in mitigating agriculture's environmental degradation. In this paper we simulate the impacts of the 2013 “greening” reform on biodiversity and ecosystem services in environmentally contrasting landscapes. We do this by integrating an agent-based model of structural change with spatial ecological production functions, and show that t

Asthma and extrapulmonary comorbidities in a middle-aged general population : results from the SCAPIS study

Introduction Asthma may increase the risk of comorbidities and systemic inflammation, but population data are scarce. This study aimed to compare comorbidities and systemic inflammation between those with and without current asthma and to identify characteristics linked to comorbidities and biomarkers. Methods In a cross-sectional analysis of 28 828 people aged 50–64 in the Swedish CArdioPulmonary

Identification of Relevant ECG Features for Epileptic Seizure Prediction Using Interpretable Machine Learning

Epileptic seizure prediction holds the potential to enhance the quality of life for individuals with epilepsy by enabling the possibility of timely administration of medication and first aid, as well as preventing subsequent accidents. In this paper, we consider the well-established Heart Rate Variability (HRV) and Lorenz features, and augment them with the electrocardiogram (ECG) multifractality

Interdisciplinary risks–a delicate balance between trust and critical review

We argue that the subject matter and objectives of risk science establish it as an inherently interdisciplinary field, closely connected to both academic disciplines and practical applications. However, risk research faces a range of interdisciplinary challenges. These include the production of low-quality research—characterised by superficial and insufficiently grounded conclusions—a lack of mutu

Effect of tool geometry and flank wear on drill temperature during CFRP machining

Carbon Fibre-Reinforced Polymers (CFRP) are a fast growing market of high performance materials and components. Thermally induced damage during machining processes such as drilling or routing are among the limiting factors for product quality, yet accurate temperature measurement remains challenging. This study develops a methodology which combines machinable thermocouples and IR thermometry techn

Advancing industry 4.0 with microfabrication of K-type TFTCs on stainless steel 316 L substrates : a study on SiO2 insulation, substrate thickness, and surface roughness optimization

Thin-film thermocouples (TFTCs) are critical for real-time temperature monitoring in advanced manufacturing processes where conventional sensors fail due to spatial constraints or complex geometries. This study develops K-type TFTCs on stainless steel 316 L substrates with optimized SiO₂/SiO insulation layers for industrial deployment. In particular, two types of stainless steel substrates were in

Volatile Organic Compound release during litter decomposition in the Arctic

Litter decomposition is a source of gaseous products, including volatile organic compounds (VOCs) to the atmosphere. The quantity and the chemical composition of the VOC blends released from litter vary between plant species and depend on environmental factors and litter microbial communities. Here, we assessed VOC release from decomposing litter in a 3-year incubation conducted in a climate manip

Publikationslista sapes mars 2016sv

1 Vetenskapliga publikationer från forskningsmiljön SAPES 2010 – 2016 Ahrenfeldt, E.J., Klatt, B.K., Arildsen, J., Trandem, N., Andersson, G.K.S., Tscharntke, T., Smith, H.G. and Sigsgaard, L. 2015. Pollinator Communities in Strawberry Crops - Variation at Multiple Spatial Scales. Bulletin of Entomological Research 105, 497-506. Albizua, A., Williams, A., Hedlund, K. and Pascual, U. 2015. Crop Rot

https://www.cec.lu.se/sv/sites/cec.lu.se.sv/files/publikationslista_sapes_mars_2016sv.pdf - 2026-05-25

Riktlinjer för friskvårdsförmån vid Lunds universitet I 2019 I

Microsoft Word - Beslut Riktlinjer friskvÃ¥rd 20191127 Postadress: Box 117, 221 00 Lund Besöksadress: Paradisgatan 5 c, 221 00 Lund Telefon 046-222 71 09 vx 046-222 00 00 Webbadress www.lu.se E-post jenny.palmgren@hr.lu.se Sekt ionen HR Riktlinjer för friskvårdsförmån vid Lunds universitet Bakgrund Lunds universitet uppmuntrar och ger möjligheter till ett regelbundet aktivt deltagande i hälsofrämj

https://www.medarbetarwebben.lu.se/sites/medarbetarwebben.lu.se/files/riktlinjer-for-friskvardsforman-vid-lu.pdf - 2026-05-25

167 MP279 You Et Al. Joint Modeling AOAS 2024

Joint modeling of multistate and nonparametric multivariate longitudinal data The Annals of Applied Statistics 2024, Vol. 18, No. 3, 2444–2461 https://doi.org/10.1214/24-AOAS1889 © Institute of Mathematical Statistics, 2024 JOINT MODELING OF MULTISTATE AND NONPARAMETRIC MULTIVARIATE LONGITUDINAL DATA BY LU YOU1,a, FALASTIN SALAMI2,c, CARINA TÖRN2,d, ÅKE LERNMARK2,e AND ROY TAMURA1,b 1Health Inform

https://www.teddy.lu.se/sites/teddy.lu.se/files/2025-01/167_MP279_You%20et%20al.%20%20Joint%20modeling%20_AOAS_2024.pdf - 2026-05-25

InfraVis-The Swedish Research Infrastructure for Visualization Support

Essentially all academic research of today relies on analysis of data from a wide range of sources. Several underpinning, and rapidly developing, technologies are supporting the analysis of this data. Visualization serves as an interface to this ecosystem of tools and methods and integrates them into environments supporting scientific workflows, effectively sharing cognitive load between computers