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BACKGROUND: Integration of oncology and palliative care has been shown to increase quality of life in advanced disease. To meet the needs of the growing older population, integration of palliative care and geriatrics has been proposed but scarcely described.OBJECTIVES: The aim of this study was to integrate palliative care into geriatrics by a structured care guide, the Swedish Palliative Care Gui

Mental time travel lies at the frontier of research into motivational persistence in language learning (Dörnyei, 2020). This article introduces the theory of episodic future thinking (D’Argembeau, 2016, 2020), and examines the key components of autobiographical knowledge and personally important goals. With findings on the long-term goals and career aspirations of preservice English teachers as a

Decisions to admit or refuse admission to intensive care for acute exacerbations of COPD (AECOPD) can be difficult, due to an uncertainty about prognosis. Few studies have evaluated outcomes after intensive care for AECOPD in patients with chronic respiratory failure requiring long-term oxygen therapy (LTOT). In this nationwide observational cohort study, we investigated survival after first-time

GWAS studies have identified hundreds of loci that associate with obesity and type 2 diabetes. However, the functional relevance of the genetic variants, and their impact on disease or traits, is largely unknown. To address those questions, we applied functional genomics approaches to study genetic variants pertinent to obesity and type 2 diabetes-related traits.In paper I, we demonstrate that rs6

Background: [18F]PSMA-1007 is a prostate specific membrane antigen (PSMA) ligand for positron emission tomography (PET) imaging of prostate cancer. Current guidelines recommend imaging 90–120 min after injection but strong data about optimal timing is lacking. Our aim was to study whether imaging after 1 h and 2 h leads to a different number of detected lesions, with a specific focus on lesions th

This longitudinal study examined the relationship between flexibility-activity and blood-pressure (BP) change among older adults in Japan. Our study included 452 older adults who took part in our survey in both 2012/2013 and 2017/2018. The seated systolic blood pressure (SBP) and diastolic BP (DBP) were measured both at baseline and at the 5 years follow-up. The frequencies of the different physic

Patch testing with fragrance allergens has been performed for over half a century, and the protocol has been continually developed and standardised. Fragrance mixes I and II and Myroxylon pereirae resin are commonly used as screening fragrance allergens in patch testing.During the past few decades, linalool and limonene hydroperoxides have emerged as contact allergens as a result of high rates of

For the past two decades, immunotherapy revolutionized cancer treatment. However, responses vary significantly among eligible patients and some cancer types are not yet open to immunotherapy. Several mechanisms contribute to immunotherapy resistance, including loss of antigen presentation machinery and immunosuppression. Conventional dendritic cells type 1 (cDC1) are a rare population of professio

The advent of optogenetic tools has had a profound impact on modern neuroscience research, revolutionizing our understanding of the brain. These tools offer a remarkable ability to precisely manipulate specific groups of neurons with an unprecedented level of temporal precision, on the order of milliseconds. This breakthrough has significantly advanced our knowledge of various physiological and pa

Background: Sepsis is common in the intensive care unit (ICU). Two of the ICU’s most widely used mortality prediction models are the Simplified Acute Physiology Score 3 (SAPS-3) and the Sequential Organ Failure Assessment (SOFA) score. We aimed to assess the mortality prediction performance of SAPS-3 and SOFA upon ICU admission for sepsis and find a simpler mortality prediction model for these pat

Stream processing applications are naturally described as dataflow programs. Dataflow programs modelled as actor networks are well suited to describe concurrent and computationally intensive problems. Realistic dataflow programs are typically characterized by highly dynamic behaviour, limiting the applicability of static analysis techniques. In this work we explore using dynamic analyses of datafl

Future global temperature change will have significant effects on society and ecosystems. Earth system models (ESM) are the primary tools to explore future climate change. However, ESMs have great uncertainty and often run at a coarse spatial resolution (usually about 2°). Accurate high-spatial-resolution temperature dataset are needed to improve our understanding of temperature variations and for

BACKGROUND: Imaging ovarian cancer (OC) includes evaluating peritoneal carcinomatosis (PC) and enlarged cardio phrenic lymph nodes (CPLN) by computed tomography (CT), and thorough evaluation is tedious work. A "CT short score" with high-risk CT parameters might be a more pragmatic approach, but it is not known if such a short score associates with aggressive OC subtypes and impaired OC survival. F

By relying on theory from sociology of law and data feminism, this study showcases the norms guiding development in human-robot interaction. This qualitative study consists of an ethnography of the HRI conference 2021 and expert interviews which were merged and analysed using an ethnographic content analysis method on NVivo. The socio-legal data feminist lens enables to pinpoint the lack of clear

Although hip fractures are common and severe, there is insufficient evidence concerning which type of rehabilitation is most beneficial. The primary aim of this three-armed pilot study was to investigate any difference in outcome after hip fractures between and within groups in terms of balance, everyday activities, and health-related quality of life (HRQoL) following different home rehabilitation

By drawing from recent progress in AI, this chapter scrutinises implications of a specific imaginary of automated futures: the possible resurrection of the dead. Necrorobotics is proposed as a field of critical studies on the use of data and design based on one specific dead individual in order to “resurrect” that individual. That is, to mimic or create some level of robotic agency for the sake of

As retail is becoming increasingly digitised in its operation and consumer relationships, much faith is put into automation, prediction and insights drawn from consumer data to shape consumer experiences and expectations. Under the umbrella of data-collection and artificial intelligence (AI), this chapter studies the role of consumer trust in retail personalisation. We draw empirical insights from