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The purpose of this research is to identify and categorize customer’s personal service requests and to determine the extent to which these categories can be facilitated with self-service technologies (SST). Hence, this study bridges the gap between customer service and self-service. This is particularly relevant, as a knowledge gap has been identified between the research field of personal custome
Additiv tillverkning (AM) är vanligtvis relaterat till snabb prototypframställning, även om det nu för tiden blir ett verkligt alternativ för mindre serieproduktioner. Expansionen av denna teknik är direkt relaterad till produktionskostnaderna, men med rätt verktyg i designfasen är det möjligt att även hjälpa utvecklarna av en produkt att välja vilket som är det bästa materialet eller AM-tekniken Additive manufacturing (AM) is commonly related to rapid prototyping, although nowadays it is becoming a real option for small-batch production. The expansion of this technique is directly related with the production costs. However, with the supporting tool in the conceptual phase of design it is possible to guide the product developers at selecting the most appropriate material and AM technology
Background:Traditional primary care is characterized by patient consultations via phone and physical visits. However, the current development in Swedish primary care is to blend digital solutions with traditional solutions. This paper addresses this development by examining the normalization of embedding and integrating a digital health care platform into everyday care routines in a primary care c
Background: Cardiovascular diseases (CVDs) are the leading cause of mortality and are among the foremost causes of disability globally. CVD burden has continued to increase in most countries since 1990, with trends driven by changing exposures to harmful risk factors, population growth, and population aging. Objectives: We report estimates of global, national, and subnational CVD burden, including
The objective of this study is to describe a completely new 10-day gross primary production (GPP) product(MGPP LSA-411) based on data from the geostationary SEVIRI/MSG satellite within the LSA SAF (Land SurfaceAnalysis SAF) as part of the SAF (Satellite Application Facility) network of EUMETSAT.The methodology relies on the Monteith approach. It considers that GPP is proportional to the absorbedph
The cohorts Malmö Diet Cancer, MDC, and Malmö Preventive Project, MPP, have together studied about 50,000 Malmö residents. The surveys began in the 1970s and the re-surveys were completed in 2012. In 2013, in Malmö started the Malmö Offspring Study, MOS, which investigates children and grandchildren to former participants in MDC. The cohorts have generated important results The information and bl
https://www.malmo-kohorter.lu.se/cohorts - 2026-07-05
Classification is a means to facilitate communication among actors in a field of practice. In the construction sector classification plays a major role in specifications, structuring of documents, calculation of costs, etc. The need for general classification systems grows with the increased internationalisation of the construction market and the rapid development towards a computer integrated con
This chapter explains that the causation inquiry performed by the European Court of Human Rights for determining breach of positive obligations has to be understood in light of the normative structural considerations that underpin state responsibility under the European Convention on Human Rights (ECHR). In particular, the responsibility system is not shaped by the corrective justice rationale tha
Background. Traditional crash-based analysis of road safety at individual sites has its shortcomings due to low numbers and the random nature of crashes at individual sites and the related statistical issues, as well as the under-reporting of crashes and lack of information on contributing factors and the process preceding crashes. To get around the problem, road safety analysis based on surrogateAbstract Background. Traditional crash-based analysis of road safety at individual sites has its shortcomings due to low numbers and the random nature of crashes at individual sites and the related statistical issues, as well as the under-reporting of crashes and lack of information on contributing factors and the process preceding crashes. To get around the problem, road safety analysis based on
During the last two decades, molecular methods to study mitochondrial DNA sequence variation have become an important part in the studies of avian haemosporidians. Up until recently, these methods have primarily been used for identification of the parasites and for tentative phylogenetic reconstructions, allowing researchers not trained in traditional parasitology to compare data across the globe.
The transient electromagnetic (TEM) method is widely used in resistivity mapping but rarely applied in monitoring experiments. In this study, we present an algorithm to invert time-lapse TEM data, with inversion of both synthetic data and field data. Three main novelties distinguish this new inversion algorithm: i) a multiple-mesh approach is used for the definition of model parameters and forward
Artificial intelligence (AI) and machine learning (ML) is expected to have a significant effect in the use of algorithmic trading (AT). AT is already dominating the type of trading in financial markets, and ML can increase the capacity of electronic trading. The rationale of this study is to examine the current adoption of AI and ML in AT, and why trading firms in the financial industry should use
Internet Metaphors and Norms. To what extent is digital “openness” also creating a modern “Panopticon”? I.e. to what extent is the conceptual imaginary of relevance for the legitimacy of modern data practices in terms of privacy? This paper argues that conceptual battles around what the Internet is and the digital development means are significant battles. The metaphorical descriptions of the inte
Light microscopy is a powerful single-cell technique that allows for quantitative spatial information at subcellular resolution. However, unlike flow cytometry and single-cell sequencing techniques, microscopy has issues achieving high-quality population-wide sample characterization while maintaining high resolution. Here, we present a general framework, data-driven microscopy (DDM), that uses popLight microscopy is a powerful single-cell technique that allows for quantitative spatial information at subcellular resolution. However, unlike flow cytometry and single-cell sequencing techniques, microscopy has issues achieving high-quality population-wide sample characterization while maintaining high resolution. Here, we present a general framework, data-driven microscopy (DDM), that uses pop
Obesity is a known risk factor for development of osteoarthritis (OA). Numerical tools like finite-element (FE) models combined with degenerative algorithms have been developed to understand the interplay between OA and obesity. In this study, we aimed to predict knee cartilage degeneration in a cohort of obese adults to investigate the importance of patient-specific information on degeneration pr
