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Objective: Studies have implied that fibroblasts may act as regulators of immune cells in the tumor microenvironment (TME). We investigated the clinical relevance of fibroblast activation protein (FAP) positive stroma in high-grade serous ovarian cancer (HGSC) in relation to CD8+ lymphocyte's infiltration. Methods: In a discovery cohort (N = 113) of HGSC, expression of FAP and CD8 in the TME was a

Expectations of what constitutes a positive customer experience have changed over time. Developments in technology and digital services have enabled new kinds of customer experience. As have new store formats and diversified retail offerings. Regardless of the form it has taken, customer experience has always been of paramount importance to retail managers. And it continues to be so. Over 50% of p

The new retail landscape is complex. New types of touchpoints and new store formats mean messy, non-linear customer journeys with multiple online and offline touchpoints. If we want to understand these journeys, and what value customers derive from new and innovative touchpoints, we must use methods that allow them to explain their own complex customer journeys in all their messy glory!

Purpose: To investigate long-term chronic postoperative inguinal pain (CPIP), QoL and recurrence in patients with a primary inguinal hernia comparing TEP to Lichtenstein. Material and methods: A questionnaire-based follow-up containing the Inguinal Pain Questionnaire (IPQ), the Cunningham Pain Scale and SF-36 was done 8 years after the TEPLICH RCT. The main objective was non-ignorable pain last we

This presentation presents a method for using Large Language Models (LLMs) to structure historical data about Swedish musical history. The research builds on the existing, human-created Stockholm Concert Database of concerts occurring in Stockholm between 1848-1908. Using this as a starting point, it details an experiment in automated extraction of information about concerts from historical Swedis

Despite significant circular migration flows historically and today, their economic impacts remain understudied. Using data on predominantly rural Swedish migrants who returned from the US during the Age of Mass Migration we estimate returns to temporary migration in terms of wealth, income, demographic and social outcomes. We find substantial wealth effects but limited evidence of increased labor

This chapter discusses how a number of contemporary algorithmic classification practices speak to the rebirth of the positivist idea of the body as a site of truth, consequently turning bodies into vulnerable sites of surveillance. Moreover, the chapter argues that rather than mitigating the biases in various training datasets and algorithmic systems to reduce algorithmic harms, what is needed is

In February 1825, the dikes broke after a spring tide in the Krummhörn region in East Frisia, Germany, causing a severe disaster. Although the flood did not claim many victims, substantial damage was done to the farmland, and the economic crisis that followed permanently changed the social structure in the Krummhörn. We study family reconstitutions of the region linked to information about socioec

The color of lakes is an essential indicator of the local ecological state, and the corresponding changes can reflect the physical and biochemical processes of lakes. However, worldwide changes in lake color and their drivers remain largely unknown. Here, we analyze the long-term color distributions and changes of 67,579 lakes worldwide from 1984 to 2021 by utilizing 32 million consistent satellit

Large Eddy Simulations (LES) are carried out targeting an unconfined premixed bluff body burner operated with ethanol, n-heptane, Jet A, and a Sustainable Aviation Fuel (SAF) labeled C1. The purpose is to validate the chosen simulation methodology for these fuels, which have not been simulated in the targeted case before, and to provide new information about how they burn and stabilize. The combus

While necessary to protect human lives, many of the measures implemented by governments to contain the COVID-19 pandemic imposed significant costs on the population. Drawing on an original representative survey fielded during the first wave of COVID-19 in April–June 2020 in Sweden and Denmark, we examine how members of different occupational groups evaluated their government's pandemic strategies.

Pan Evaporation (Ep) plays a pivotal role in water resource management, particularly in arid and semi-arid regions. This study assesses the predictive performance of a comprehensive range of advanced machine learning (ML) and deep learning (DL) algorithms for Ep prediction using readily available environmental sensing data. The models investigated include M5 Prime (M5P), M5Rule (M5R), Kstar, as we