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“It works in Denmark”- a quantitative study on Danish stop and search zones

År 2004 implementerade Danmark en ny lag, som tillåter polisen att utfärda så kallade visitationszoner, som ett verktyg för att bekämpa framför allt våldsbrott. I Sverige, har implementering av sådana zoner blivit ett återkommande inslag i den politiska debatten och riksdagsmotioner, i samband med att bekämpa gängbrottslighet. Ett vanligt argument för implementering är ”det fungerar i Danmark”. ÄnIn 2004, Denmark implemented a new law which allows the police to issue so-called “Stop & Search zones”, as a measure to defeat mainly violent crimes. In Sweden, the implementation of such zones is a current frequently occurring matter in the political debate and parliamentary motions, in the context of defeating gang crime. One common argument in favor of implementation is “It works in Denmar

A Different Welcoming : a comparative case study on the Danish refugee debate

This thesis concerns the refugee debate in Denmark. The study is a comparative case study in order to examine different aspects of the refugee debate. The aim of the study is to investigate the different approaches with focus on the reactions to the movement of refugees in 2015 and the war in Ukraine in 2022. The study aims to highlight how the refugees are portrayed in the Danish debate and explo

Environmental tax as a measure for achieving sustainable development obligations in the EU

Environmental tax measures have the potential to be great tools for achieving sustainable development goals in the EU. The different dimensions of sustainability need to be balanced in order to achieve sustainable development goals. In the EU, tax law has been focussed too much on the economic dimension, and too little on the environmental dimension, which could lead to environmental sustainabilit

The Effect of the COVID-19 Pandemic on Green Fiscal Policies in Sweden

The push for sustainable development has become a central priority of governments in recent decades, and targeted fiscal policies tailored to meet environmental problems have arisen. In 2020, the COVID-19 pandemic launched the world into the most significant economic recession since the Great Depression of the 1930s. This paper examines how the COVID-19 pandemic has influenced green fiscal policie

Use of Stochastic Switching in the Training of Binarized Neural Networks

Most prior research into the field of Binarized Neural Networks (BNNs) has been motivated by a desire to optimize Deep Learning computations on traditional hardware. These methods rely on bit-wise operations to drastically decrease computation time, however to address the resulting loss in accuracy it is common practice to reintroduce continuous parameters and train using batch normalization. Here

Stärkt barnrätt med barnfridsbrottslagen? De upplevda effekterna i arbetet med barnavårdsärenden i koppling till den nya barnfridsbrottslagen

Background: The effects of children witnessing violence in theirs close relationships are according to previous research very extensive and can in many cases have devastating and lifelong consequences for the children in their upcoming close relationships with other people. The Swedish legal system has in different ways tried to strengthen the rights of children who are victims of witnessing viole

“You are the only disabled student here; you must conform to us!” A Foucauldian discourse analysis of inclusive education and disability in Indonesia

It has been almost 20 years since inclusive education was first implemented in Indonesia; however, based on the previous studies, the realities surrounding inclusive education strategies remain disappointing as disabled students continue to face discrimination and segregation in school. By taking into account how inclusive education discourse is constituted within national documents and affects th

Tensor Decompositions of EEG Signals for Transfer Learning Applications

In this report, tensor decomposition methods of EEG signals have been evaluated for the purpose of transfer learning. The aim has been to address the person-to-person Brain-Computer Interface (BCI) calibration problem by transferring training data between sessions, which can shorten calibration times, extend the amount of training data, and enable using data from simulated environments in real wor

Community Walk : a co-costumed "walking and talking" performance

Community Walk (a co-costumed "performance") locomoted through the central area of Copenhagen on July 30, 2020. Community walk was a part of the festival Wa(l)king Copenhagen. During 12 hours I "walked and talked" co-costumed to 12 difference co-wearers _ one hour with each wearer. Wa(l)king Copenhagen was developed and organized by Metropolis (Copenhagen’s International Theatre) as a response to

Oxygen targets and 6-month outcome after out of hospital cardiac arrest : a pre-planned sub-analysis of the targeted hypothermia versus targeted normothermia after Out-of-Hospital Cardiac Arrest (TTM2) trial

Background: Optimal oxygen targets in patients resuscitated after cardiac arrest are uncertain. The primary aim of this study was to describe the values of partial pressure of oxygen values (PaO2) and the episodes of hypoxemia and hyperoxemia occurring within the first 72 h of mechanical ventilation in out of hospital cardiac arrest (OHCA) patients. The secondary aim was to evaluate the associatio

Subjective cognitive decline and anxious/depressive symptoms during the COVID-19 pandemic : what is the role of stress perception, stress resilience, and β-amyloid?

Background: The COVID-19 pandemic may worsen the mental health of people reporting subjective cognitive decline (SCD) and therefore their clinical prognosis. We aimed to investigate the association between the intensity of SCD and anxious/depressive symptoms during confinement and the underlying mechanisms. Methods: Two hundred fifty cognitively unimpaired participants completed the Hospital Anxie

Multi-cohort and longitudinal Bayesian clustering study of stage and subtype in Alzheimer’s disease

Understanding Alzheimer’s disease (AD) heterogeneity is important for understanding the underlying pathophysiological mechanisms of AD. However, AD atrophy subtypes may reflect different disease stages or biologically distinct subtypes. Here we use longitudinal magnetic resonance imaging data (891 participants with AD dementia, 305 healthy control participants) from four international cohorts, and

Luteolin, a Potent Anticancer Compound : From Chemistry to Cellular Interactions and Synergetic Perspectives

Increasing rates of cancer incidence and the toxicity concerns of existing chemotherapeutic agents have intensified the research to explore more alternative routes to combat tumor. Luteolin, a flavone found in numerous fruits, vegetables, and herbs, has exhibited a number of biological activities, such as anticancer and anti-inflammatory. Luteolin inhibits tumor growth by targeting cellular proces

Internet-based cognitive behavior therapy for eating disorders – Development and feasibility evaluation

Background: Eating disorders (ED) are severe psychiatric conditions, characterized by decreased quality of life and high mortality. However, only a minority of patients with ED seek care and very few receive treatment. Internet-delivered cognitive behavioral therapy (ICBT) has the potential to increase access to evidence-based treatments. Aims: The aims of the present study were to (1) develop and

Kollektivtrafikens sårbarhet i Covid-19-eran : En holistisk strategi framåt

The role of public transport in society is crucial, particularly for those who do not have access to alternative transport modes. For public transport to be able to fulfil its societal role, it should not be perceived as unsafe or unhealthy by its (potential) users. Several studies from all over the world have shown that anxiety has increased remarkably during the pandemic, and it is likely to las

Detecting red blood cells and platelets in blood smears using a single multi-class object detector

I examensarbetet har maskininlärning använts för att kombinera detektionen av röda blod-kroppar och blodplättar. En snabbare lösning i jämförelse med dagens separata algoritmer på företaget utformades, med prestanda i samma klass.Blood analysis is an integral part of diagnostic medicine and used in most medical fields. The concentrations of red blood cells and platelets, and ratio between these, are used for diagnosing several diseases. CellaVision develops machines and software for automatically capturing images of blood sample smears and detecting its cellular contents. The company currently has separate algorithms for d