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Good adherence to adjuvant endocrine therapy in early breast cancer – a population-based study based on the Swedish Prescribed Drug Register

Introduction: Adjuvant endocrine therapy improves recurrence-free and overall survival in primary breast cancer. However, not all patients complete their planned treatment, mostly because of side-effects. The aim of this study was to examine the adherence to adjuvant endocrine therapy in a cohort of primary breast cancer patients in Region Jönköping County, Sweden, after 3 and 5 years. Material an

Topology optimization of finite strain viscoplastic systems under transient loads

A transient finite strain viscoplastic model is implemented in a gradient-based topology optimization framework to design impact mitigating structures. The model's kinematics relies on the multiplicative split of the deformation gradient, and the constitutive response is based on isotropic hardening viscoplasticity. To solve the mechanical balance laws, the implicit Newmark-beta method is used tog

Subnational government tax revenue capacity and effort convergence : New evidence from sequential unit root tests

Convergence in revenue capacity and effort around rising trends help more subnational governments assume their devolved functions. We examine the extent of such convergence by estimating the proportion of all pairwise convergent gaps in a panel of 48 combined state-local governments (SLGs) over the period 1981–2013 using a novel methodology. We found no evidence of convergence in tax revenue capac

A panel of biomarkers for diagnosis of prostate cancer using urine samples

Background/Aim: Prostate cancer (PCa) diagnosis using patient urine samples represents a non-invasive and more convenient method than the conventional biopsy and prostate-specific antigen (PSA) test. This study intended to identify a biomarker panel to distinguish PCa from benign prostate using urine samples. Materials and Methods: We identified six biomarkers with differential gene expression in

Development and application of laser diagnostics - from laboratory devices towards practical combustion engines

For many decades, research work on combustion has been focused on improving combustion efficiency and reducing harmful emissions. Laser diagnostics is one of the best ways to investigate the combustion process and emission formation as it is non-intrusive and it has high spatiotemporal resolution. In this thesis work, many laser diagnostics have been developed and employed for combustion research.

Artificiell intelligens: vems ansvar?

Detta kapitel tar ett politiskt perspektiv på liv med artificiell intelligens som exempel. Kapitlet undersöker politiska initiativ om robotar och artificiell intelligens för att se hur beslutsfattare och deras rådgivare resonerar kring frågor om etik, demokrati och ansvar.