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The existing information supports the use of this material as described in this safety assessment. 5-Hydroxy-7-decenoic acid δ-lactone was evaluated for genotoxicity, repeated dose toxicity, reproductive toxicity, local respiratory toxicity, phototoxicity/photoallergenicity, skin sensitization, and environmental safety. Data from read-across material tetrahydro-6-(3-pentenyl)-2H-pyran-2-one (CAS #

Food systems are primary drivers of human and environmental health, but the understanding of their diverse and dynamic co-transformation remains limited. We use a data-driven approach to disentangle different development pathways of national food systems (i.e. ‘transformation archetypes’) based on historical, intertwined trends of food system structure (agricultural inputs and outputs and food tra

This article examines the emergence of a ‘migration industry’ as a result of European border externalisation and security outsourcing practices to curb migration flows from Libya. It argues that the management of migration has been partly delegated to a network of interlinked private and public actors which constitute a complex migration governance structure that ultimately gives rise to issues of

This article interrogates the digital storytelling of Sweden’s feminist foreign policy. Drawing on scholarship on state feminism and digital diplomacy, it shows how digital platforms offer opportunities to reproduce narratives of state feminism through storytelling. We propose that digital diplomacy is used to advance feminist foreign policy through emotional sense-making that requires the telling

Breast cancer is the most common type of cancer globally. Early detection is important for reducing the morbidity and mortality of breast cancer. The aim of this study was to evaluate the performance of different machine learning models to classify malignant or benign lesions on breast ultrasound images. Three different convolutional neural network approaches were implemented: (a) Simple convolutiBreast cancer is the most common type of cancer globally. Early detection is important for reducing the morbidity and mortality of breast cancer. The aim of this study was to evaluate the performance of different machine learning models to classify malignant or benign lesions on breast ultrasound images. Three different convolutional neural network approaches were implemented: (a) Simple convoluti

Background: GCA is a systemic vasculitis of the elderly, viewed by many as a disease with multiple and overlapping clinical phenotypes. Retrospective studies have shown differences in clinical presentation between these phenotypes. To reflect the heterogeneity of GCA and novel diagnostic methods, new classification criteria have been proposed. Methods: This is a retrospective study of newly diagno

When the COVID-19 pandemic hit in 2020, many governments tried to contain the spread of the virus by legally restricting social life and imposing national lockdowns. The Swedish government did not enforce a national lockdown, but instead appealed to the individual’s self-responsibility to follow specific containment recommendations developed by the Swedish Public Health Agency. Sweden is thus an e

Background: Cernitin™ pollen extracts (brand name Cernilton®) alleviates symptoms related to common lower uro-genital tract disorders in men. The underlying mechanisms are ill-defined but the inflammatory pathway could be one of them. In a previous in vitro study it was shown that Cernitin™ induce a regulatory effect on inflammatory parameters. Methods: In this study, male Sprague Dawley rats were

This study takes its departure from literature on the far-reaching engagements from civil society during the 2015 “refugee crisis” in Europe as it seeks to understand the status of collaborative governance at the local level. It takes an in-depth look of Malmö, a city in Sweden which in 2015 became the centre for the Swedish refugee reception and solidarity initiatives. The study identifies challe

Achieving effectiveness and efficiency in supply chains is one of the focus areas for industry as well as for academic research. One way to achieve these goals is to design and develop product and packaging systems (See Figure 1) which can meet the needs of different actors in the supply chain. Packaging, as an interface between the supply chain and its main customers (the end users), affects supp

The purpose of this study was to clarify the internal change of concrete structures during drying. Therefore, we used X-ray CT to investigate water content and volume changes inside cement paste specimens during drying. Changes in the CT image intensities and measurements on the images indicated water content and volume changes, including local changes detected with digital volume correlation. Nex

This paper introduces the ForestValue research project CLICKdesign - delivering fingertip knowledge to enable service life performance specification of wood. The consortium is working on a primary innovation to move from the complex, fragmented and general to the easy-to-use, consolidated and specific by provision of a digital tool for specifiers. Other materials tackle this and provide designers

There is a pressing need to capture and track subtle cognitive change at the preclinical stage of Alzheimer's disease (AD) rapidly, cost-effectively, and with high sensitivity. Concurrently, the landscape of digital cognitive assessment is rapidly evolving as technology advances, older adult tech-adoption increases, and external events (i.e., COVID-19) necessitate remote digital assessment. Here,

The application of robotic solutions to small-batch production is challenging: economical constraints tend to dramatically limit the time for setting up new batches. Organizing robot tasks into modular software components, called skills, and allowing the assignment of multiple concurrent tasks to a single robot is potentially game-changing. However, due to cycle time constraints, it may be necessa

Monocular depth estimation is a highly challenging problem that is often addressed with deep neural networks. While these use recognition of high level image features to predict reasonably looking depth maps,the result often has poor metric accuracy. Moreover,the standard feed forward architecture does not allow modification of the prediction based on cues other than the image.In this paper we rel

Background: The collection and sharing of genomic and health data underpins global efforts to develop genomic medicine services. 'Your DNA, Your Say' is a cross-sectional survey with the goal of gathering lay public attitudes toward the access and sharing of deoxyribonucleic acid (DNA) information and medical information. It suggests significant international variation in the willingness to share