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Detaljhandeln är en bransch som har fått utstå kritik för att ha svårigheter med innovation. Samtidigt präglas dagens värld av globalisering där information sprids snabbt, bland annat är hållbarhet och grön konsumtion trender som blir större. Innovation är ett begrepp som i de flesta fall associeras med tekniska aspekter, för handeln kan det däremot handla om nya produkter eller affärsmodeller. Hä

Bakgrund: tidigare studier visar att kvinnor upplever att föräldragrupper inte förbereder dem för amning. Det är viktigt att studera hur kvinnor upplever amningsinformation under graviditeten då detta kan öka amningsfrekvensen. Syfte: Att undersöka kvinnors upplevelse av amningsinformation under graviditeten. Metod: en kvalitativ studie gjordes och elva kvinnor intervjuades. Kvalitativ innehålls

With the growth of mobile computing, users will have simultaneous access to multiple overlaid networks, each with different characteristics, services and costs. This paper introduces TOMTEN (TOtal Management Of Transmissions for the ENd-user), a framework for managing resources in both this type of environment as well as the traditional single network environment. TOMTEN is a reactive framework th

With the growth of mobile computing, users will have simultaneous access to multiple networks, each with different characteristics, services and costs. This paper introduces TOMTEN (TOtal Management Of Transmissions for the ENd-user), a framework for managing resources in this environment. TOMTEN is a reactive framework that is only active when either the application is started up or the user indi

ABSTRACT Background: Prediabetes is a global epidemic with rising prevalence rates, but its diagnosis based on traditional risk factors is challenging. Application of novel machine-intelligence based methods to public health databases could provide valuable insights into the disease process. Aim: To build predictive models to elucidate the determinants of prediabetes using machine learning algorit

Objective: To identify predictors of prediabetes using feature selection and machine learning on a nationally representative sample of the US population. Materials and methods: We analyzed n = 6346 men and women enrolled in the National Health and Nutrition Examination Survey 2013-2014. Prediabetes was defined using American Diabetes Association guidelines. The sample was randomly partitioned to Objective: To identify predictors of prediabetes using feature selection and machine learning on a nationally representative sample of the US population. Materials and methods: We analyzed n = 6346 men and women enrolled in the National Health and Nutrition Examination Survey 2013-2014. Prediabetes was defined using American Diabetes Association guidelines. The sample was randomly partitioned to t

This dissertation investigates how different regions are financially integrated with the US capital markets and how the level of integration has changed over time. The research has been conducted by using an event study methodology to examine the impact on domestic stock prices following foreign cross-listings on US stock exchanges. A sample of 556 ADR programs initiated by companies from 38 count

BACKGROUND: MicroRNAs (miRNAs) are sought-after biomarkers of complex, polygenic diseases such as type 2 diabetes (T2D). Data-driven biocomputing provides robust and novel avenues for synthesizing evidence from individual miRNA seq studies.OBJECTIVE: To identify miRNA markers associated with T2D, via a data-driven, biocomputing approach on high throughput transcriptomics.MATERIALS AND METHODS: The