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There is a need for ground-breaking technologies to boost crop yield, both grains and biomass, and their processing into economically competitive materials. Novel cereals with enhanced photosynthesis and assimilation of greenhouse gasses, such as carbon dioxide and ozone, and tailored straw suitable for industrial manufacturing, open a new perspective for the circular economy. Here we describe the

INTRODUCTION: The aim of this study was to compare different methods to predict acute coronary syndrome (ACS) using only data from a single electrocardiogram (ECG) in the emergency department (ED). METHOD: We compared the ACS prediction abilities of classical ECG criteria, human expert ECG interpretation, a logistic regression model and an artificial neural network ensemble (ANN). The ED ECG and d

During the past decade, scholars have produced a vast amount of research using linked historical individual-level data, shaping and changing our understanding of the past. This linked data revolution has been powered by methodological and computational advances, partly focused on supervised machine-learning methods that rely on training data. The importance of obtaining high-quality training data

Coalescence during emulsification has a significant effect on the outcome of the process, especially for the high volume fractions of disperse phase common in food and pharmaceutical processing. Controlling emulsification requires that the extent of coalescence during different conditions can be quantified. The step-down technique is the most commonly used method for measuring coalescence frequenc

Emergency abdominal surgery outcomes represent an internationally important marker of healthcare quality and capacity. In this study, a novel approach to investigating global surgical outcomes is proposed, involving collaborative methodology using 'snapshot' clinical data collection over a 2-week period. The primary aim is to identify internationally relevant, modifiable surgical practices (in ter

This report has been compiled within the framework of the programme on Regional Air Pollution in Developing Countries (RAPIDC), Phase III conducted during the period 2005-2008. RAPIDC is funded by the Department of Infrastructure and Economic Cooperation (INEC) of the Swedish International Development Cooperation Agency (SIDA). It is coordinated by the Stockholm Environment Institute (SEI) and car

As artificial intelligence (AI) becomes increasingly embedded in organisational operations, it introduces not only efficiency but also unique information security challenges. Traditional security practices cover common threats, however, the lack of transparency in AI output and the possibility of novel attacks such as data poisoning and phishing attacks show that these systems are poorly equipped

he historical legacy of colonialism worldwide has created challenges for Indigenous peoples, including racial discrimination and marginalization. This is reflected in, inter alia, the overrepresentation of Indigenous children in child welfare systems, even in countries performing comparably high in human right advancements otherwise. While there may be a broad spectrum of reasons for this issue, t

I mogna industrier prioriteras ofta verkningsgrad och processen snarare än själva produkten. Detta innebär att dessa industrier anpassar sig långsamt när de externa förhållandena skiftar. Exempel på sådan industri är Sveriges köttindustri. Denna präglas av stor klimatpåverkan, även stora mängder matsvinn. Nya teknologier undersökes i nuläget för att skärpa detta svinn; exempel på sådan teknologi äThe competitive landscape mature industries find themselves in tends to make them enforce practices that ruthlessly focus on efficiency and process. This narrow focus makes them slow to adapt to changes in the external environment in which they operate. One such case is the Swedish meat industry. Like many industries, there are downsides involved with meat production and for meat a significant one