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In search of the best method to predict acute coronary syndrome using only the electrocardiogram from the emergency department.

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

The measure of spatial position within groups that best predicts predation risk depends on group movement

Both empirical and theoretical studies show that an individual's spatial position within a group can impact the risk of being targeted by predators. Spatial positions can be quantified in numerous ways, but there are no direct comparisons of different spatial measures in predicting the risk of being targeted by real predators. Here, we assess these spatial measures in groups of stationary and movi

A Missed Steak: A Study of the Value Added by Dynamic Best-before Labels

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

Information Security Recommendations for Organisational AI Usage: A qualitative study exploring the adaptation of existing information security best practices for organisations utilizing AI systems

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

Realising Indigenous Children’s Rights: Aligning the Principles of Self-Determination and the Best Interests of the Child. The Case of Indigenous Peoples in Canada

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

Sun position and PV panels : a model to determine the best orientation

The correct positioning of photovoltaic panels is essential to ensure the maximum production of electrical energy. Two parameters are involved in this: the tilt angle and the angle of orientation. In the literature, though, the orientation angle receives little attention. In this work, I present an application I developed using the Python programming language in a GIS environment that can help fin

What makes a best exemplar?

This paper is part of a broader multilingual research project that addresses the relationships between affective phenomena (as units of personal experience), concepts (as units of cognitive processing) and the lexical items we use in talking about affective experience (as units of verbal communication. The focus will be here on data obtained in six Scandinavian and Romance languages (N=1093) with

Best living neighbourhood in the city : a GIS based multi criteria evaluation of ArRiyadh City

Popular science ArRiyadh, the capital city of the Kingdom of Saudi Arabia is one of the fastest growing cities in the world. During the last decade the population of the city has been increased to five million due to heavy migration towards the city. Due to this population pressure, the living conditions in the different neighborhoods of the city are different. The residents in any city are mainly

Error estimation, validity and best practice guidelines for quantifying coalescence frequency during emulsification using the step-down technique

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