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Background: Abdominal surgery for cancer carries a high risk of venous thromboembolism, but the optimal duration of postoperative thromboprophylaxis is unknown. Methods: We conducted a double-blind, multicenter trial in which patients undergoing planned curative open surgery for abdominal or pelvic cancer received enoxaparin (40 mg subcutaneously) daily for 6 to 10 days and were then randomly assi

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Abstract People with psychiatric disabilities (PD) are a vulnerable group, and should be offered support and rehabilitation when needed. Day centres that provide individually matched daily occupations are an important link to provide that. The present study aimed at gaining knowledge regarding the occupations performed in day centres, in terms of the participants' descriptions of what they were do

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We consider the problem of trajectory generation for time-optimal path tracking for the class of pseudo-omnidirectional mobile robots. An Euler-Lagrange model of the robot dynamics is derived, and by writing it on special form a convex reformulation of the path-tracking problem can be utilized. This enables the use and regeneration of time-optimal trajectories during runtime. The proposed approach

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Climate change and disasters pose a serious risk to sustainable development. In the South local coping strategies are an important element of adaptation to climate and disaster risk. Such strategies have arisen because of the limited assistance provided by urban actors and associated social security and governance systems. In contrast, in the North local coping strategies are comparatively poorly

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This report addresses the related problems of trajectory generation and time-optimal path tracking with online obstacle avoidance. We consider the class of four-wheeled vehicles with independent steering and driving on each wheel, also referred to as pseudo-omnidirectional vehicles. Appropriate approximations of the dynamic model enable a convex reformulation of the path-tracking problem. Using th

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The development of models that provide accurate spatio-temporal predictions of ambient air pollution at small spatial scales is of great importance for the assessment of potential health effects of air pollution. Here we present a spatio-temporal framework that predicts ambient air pollution by combining data from several different monitoring networks and deterministic air pollution model(s) with

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In this paper we discuss new adaptive proposal strategies for sequential Monte Carlo algorithms—also known as particle filters—relying on criteria evaluating the quality of the proposed particles. The choice of the proposal distribution is a major concern and can dramatically influence the quality of the estimates. Thus, we show how the long-used coefficient of variation (suggested by Kong et al.

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The world of work is central to development, if one defines development as economic and social progress and wellbeing of individuals, families and societies. In the last decades of globalization the International Labour Organization has struggled to retain relevance and ensure “decent work” for all. The introduction of the 2019 ILO Centenary Declaration for the Future of Work sets up new guiding p

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This thesis explores the audience’s reactions in regards to the phenomenon of norm-breaking ads in Sweden, focusing on the representation of immigrant minorities in advertisements. The aim is to understand if, how, and why, these ads engage audiences online and offline, at a time where public interest in institutionalized politics is on the decrease. The interviews and photo elicitation are a way

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Room acoustics, as a branch of architectural acoustics, has got more and more attention nowadays. One of the aims of the room acoustics is to develop different method to evaluate the acoustic performance of the rooms and to address human acoustic comfort needs. Meanwhile, the process of reverberation plays an important role in room acoustics, and it is also an evaluation standard of evaluating roo

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In digital integrated circuits, memories are often a limiter for main performance, power and area. Over the past decade, integrated memories have gained dominance in terms of area and power cost. In applications like machine learning or image processing the area share can be above 80% consuming more than 50% of the total power budget. On-chip memories in CMOS technologies can be categorized as sta

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We develop methods for estimation, inference and optimization of causal effects from observational data with continuous treatments. We present a counterfactual prediction method based on the potential outcomes framework that estimates the expected value of a potential outcome given a treatment level and confounders. We show that the method identifies the average generalized treatment effect (AGTE)

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In this thesis we are evaluating Bluetooth Low Energy (BLE) v5.1 in combination with Direction Of Arrival (DOA) algorithms and receiving antenna arrays for indoor positioning systems. The thesis is divided in two parts. The first part is the core of the thesis and is composed by the evaluation of DOA algorithms in a direction finding system. A campaign of measurements is carried out in an active i

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To develop treatments for currently uncurable neurological disorders, more knowledge is needed of the involved neural circuits and changes in gene expression. The padlock probe technique, in which linear DNA probes are circularized and amplified when hybridized to their cDNA target sequence, has previously been used for both multiplexed gene detection and neuronal projection mapping in brain tissu

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Violence against women is a serious human rights violation and a major cause of reduced of life, distress, injury and death for female. According to World Health Organization, 1 in 3 women around the world experience physical or sexual violence, mostly by an intimate partner. This study attempts to contribute to our understanding the problem of violence against women and State obligation with a f

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Background & Aim: The imaging process following the treatment of 177Lu-DOTATATE is in some medical clinics demanding on both patients and the clinic. Usually a number of images are acquired, with different time intervals to the time of injection. To facilitate for the patient and create the opportu- nity to treat more patients it is desirable to simplify the imaging process. At Skåne Universit

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Preservatives and non-ionic surfactants are frequently used in biological drugs for multiple dosage. However, the most commonly used surfactants and preservatives are known to be incompatible with each other, leading to the solution becoming turbid due to precipitation. This study aims to investigate at which concentration regions precipitation occurs between non-ionic surfactants (polysorbate

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Determining how proteins interact with each other to form complexes is very important for understanding both disease and cellular functions, but experimentally determining the structures of these complexes is both tedious and slow, which is why a great number of protein-protein docking algorithms have been developed to predict them. To this day, conformational changes in protein backbones have bee

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The purpose of this paper is to analyse the phenomenon of country branch’s communication alignment between the corporate and country-specifics, based on the example of the German development organisation GIZ and its country branch GIZ Pakistan. This includes how the communication strategy and concepts are aligned and how the alignment is negotiated and decided. The analysis is guided by the interp

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The thesis is to develop a 3D printer that easily and conveniently can print with recycled plastic such as PET bottles, plastic packaging and much more. The printer will be designed according to the needs of a developing country. The idea is not to create an additive manufacturing factory but an effective manufacturing tool for the locals in the less developed parts of the country. The printer can