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Photophysical image analysis : Unsupervised probabilistic thresholding for images from electron-multiplying charge-coupled devices

We introduce the concept photophysical image analysis (PIA) and an associated pipeline for unsupervised probabilistic image thresholding for images recorded by electron-multiplying charge-coupled device (EMCCD) cameras. We base our approach on a closed-form analytic expression for the characteristic function (Fourier-transform of the probability mass function) for the image counts recorded in an E

Machine learning evaluation for identification of M-proteins in human serum

Serum electrophoresis (SPEP) is a method used to analyze the distribution of the most important proteins in the blood. The major clinical question is the presence of monoclonal fraction(s) of antibodies (M-protein/paraprotein), which is essential for the diagnosis and follow-up of hematological diseases, such as multiple myeloma. Recent studies have shown that machine learning can be used to asses

Included on paper, excluded in practice: or vice versa? : Formal and actual target groups of Barnahus across jurisdictions

The ongoing diffusion and European standardisation of the Barnahus model has involved a general expansion of the Barnahus target group, and variations in terms of inclusion and exclusion of different groups of children, such as those who have experienced domestic violence and those who have exhibited sexually harmful behaviour. Based on policy documents, reports, standards, and regulations from Sw

The wide-field, multiplexed, spectroscopic facility WEAVE: Survey design, overview, and simulated implementation : Monthly Notices of the Royal Astronomical Society

WEAVE, the new wide-field, massively multiplexed spectroscopic survey facility for the William Herschel Telescope, saw first light in late 2022. WEAVE comprises a new 2-deg field-of-view prime-focus corrector system, a nearly 1000-multiplex fibre positioner, 20 individually deployable ‘mini’ integral field units (IFUs), and a single large IFU. These fibre systems feed a dual-beam spectrograph cove

Deliberating the conditions for implementing the Barnahus model : Knowledge drawn from an institutional analysis

Referring to the PROMISE network’s European Barnahus quality standards, this concluding chapter further explores the institutional tensions identified in the previous chapters. Although these standards are important for securing the Barnahus model’s authenticity in the ongoing diffusion, they do not sufficiently address the possible tensions and dilemmas involved. We argue that if the Barnahus mod

Governance of collective energy systems; : Framework and typology to analyse governance of current AE (Aquathermal Energy) and other relevant heating systems

The aim of this WaterWarmth project Work Package 6.1 report is to present a number of relevant frameworks available to analyse and/or assess the governance of current heating systems and future energy system innovation, in particular with a focus on aquathermal energy (AE) systems. At the basis of the report was a broad survey of the academic and other literature by project researchers on ways to

Look-Ahead Screening Rules for the Lasso

The lasso is a popular method to induce shrinkage and sparsity in the solution vector (coefficients) of regression problems, particularly when there are many predictors relative to the number of observations. Solving the lasso in this high-dimensional setting can, however, be computationally demanding. Fortunately, this demand can be alleviated via the use of screening rules that discard predictor

Kvalitetskontroll av markstabilisering med elektrisk resistivitetstomografi : ASSERT (Assessment of Soil Stabilisation using Electrical Resistivity Tomography)

Projektet har fokus på kvalitetskontroll av markstabilisering med elektrisk resistivitetstomografi (ERT). Stabilisering kan göras i form av KC-pelare, jetpelare, ytstabilisering och masstabilisering, genom inblandning av cement, kalk, slagg, flygaska eller kombinationer av dessa. Markstabilisering kan vara mycket attraktivt för såväl miljö som ekonomi, men det finns behov av bättre metoder för kva

Implementing Lean 4.0: A Review of Case Studies in Pharmaceutical Industry Transformation

Purpose: The purpose of this systematic review is to critically analyse pharmaceutical industry case studies on the implementation of Lean 4.0 methodologies to synthesize key lessons, benefits, and best practices. The goal is to inform decisions and guide investments in related technologies for enhancing quality, compliance, efficiency and responsiveness across production and supply chain processe

Natur på skolgården för lärande, hälsa och hållbarhet

Gröna och artrika utemiljöer främjar barns och ungas välbefinnande och kunskap, bådegenom hälsofördelar kopplade till biologisk mångfald och genom att skapa förutsättningarför lek och lärande om natur och miljöfrågor. Skolgården skulle kunna bidra till allt detta,men är idag i hög grad en outnyttjad plats för biologisk mångfald och klimatanpassningav städer. I denna policy brief presenteras huvuds

Effect of ageing on machining performance of grey cast iron and its compensation by cutting speed management

Grey cast iron is known for its poor machinability directly after casting, but attains excellent machining performance after ageing. The present work explores the impact of cutting speed on the performance of pcBN machining for non-aged material. Findings suggest that tool wear can be minimized by identifying an optimal cutting speed that supports the formation of a stable Al2O3 and MnS build-up l

The association of precarious employment to the unmet need for healthcare in Sweden: a prospective cohort study with multiple follow-ups

Introduction: Access to healthcare is a critical determinant of health and central to Swedish public health policy. Sweden, like many other countries has seen a rise in precarious employment and there has been substantial research into the negative health effects associated with it. In accordance with vertical equality in health care, people exposed to precarious employment should consequently hav

Hall’s Marriage Theorem and Related Aspects

The main focus of this thesis is to study Hall’s Marriage Theorem, which was named after, and proven by the English mathematician Philip Hall in 1935 [6]. The theorem can be stated in terms of different mathematical fields and there are several equivalent theorems proven by other mathematicians [3]. This thesis is mainly going to focus on the graph-theoretic formulation. When stated in terms of gr

Challenges and opportunities for increasing the use of low‑risk plant protection products in sustainable production. A review

Plant production systems worldwide are struggling to meet the diverse and increasing needs of humankind while also facing challenges such as climate change and biodiversity loss. This, combined with the desirable transition from the use of conventional pesticides to more sustainable plant protection solutions, has led to an urgent, and increasing, need for lowrisk plant protection products (PPPs)

Informing Static Mapping and Local Scheduling of Stream Programs with Trace Analysis

Due to their natural and inherent way of capturing concurrency, dataflow descriptions of stream programs have seen prevalent usage in fields such as video processing, networks and scientific computing. They are often deployed on manycore, heterogeneous and distributed architectures. Despite robust research on the topic, obstacles still exist in evaluating the performance of stream programs accurat

Automated Patch Clamp for the Detection of Tetrodotoxin in Pufferfish Samples

Tetrodotoxin (TTX) is a marine toxin responsible for many intoxications around the world. Its presence in some pufferfish species and, as recently reported, in shellfish, poses a serious health concern. Although TTX is not routinely monitored, there is a need for fast, sensitive, reliable, and simple methods for its detection and quantification. In this work, we describe the use of an automated pa

Deep learning-based auditory attention decoding in listeners with hearing impairment

This study develops a deep learning method for fast auditory attention decoding (AAD) using electroencephalography (EEG) from listeners with hearing impairment. It addresses three classification tasks: differentiating noise from speech-in-noise, classifying the direction of attended speech (left vs. right) and identifying the activation status of hearing aid noise reduction (NR) algorithms (OFF vs