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NETest in advanced high-grade gastroenteropancreatic neuroendocrine neoplasms

Molecular blood biomarkers are lacking for high-grade (HG) gastroenteropancreatic (GEP) neuroendocrine neoplasms (NEN). To histologically distinguish between neuroendocrine carcinoma (NEC), neuroendocrine tumors G3 (NET G3), adenocarcinoma and MINEN is often challenging. The mRNA-based NETest has diagnostic, prognostic and predictive value in neuroendocrine tumors G1-2 but has not been studied in

Towards low-valent calcium carbene complexes

Research of the recent years indicated that the heavy alkaline earth metals may possess a bonding behaviour similar to transition metals, where they are able to involve their d-orbitals in bonding. The exact nature of such bonds is still elusive and a point of discussion amongst researchers. To further study this, low- or zero-valent complexes of those metals are needed. The objective of this proj

Optimising Hydrogen Pump performance – Inducer design for cavitation mitigation

The aviation sector's contribution to global CO2 emissions requires the exploration of sustainable energy alternatives, with hydrogen emerging as a promising candidate. Despite their potential, hydrogen aircraft propulsion systems are not yet commercially viable, primarily due to technical challenges such as cavitation in hydrogen pumps. This study aims to analyse and optimise the design of hy

Approaches to welfare technology in municipal eldercare

Welfare technologies have been proposed in Scandinavian countries as way to ensure accessible and efficient care to those who need it. Significant investments have been made to develop and deploy these technologies. This study used a multiple case study design to explore how welfare technologies are implemented in Swedish eldercare practices. The multiple case study generated detailed knowledge an

A machine learning tool for identifying patients with newly diagnosed diabetes in primary care

Background and aim: It is crucial to identify a diabetes diagnosis early. Create a predictive model utilizing machine learning (ML) to identify new cases of diabetes in primary health care (PHC). Methods: A case-control study utilizing data on PHC visits for sex-, age, and PHC-matched controls. Stochastic gradient boosting was used to construct a model for predicting cases of diabetes based on dia

Polycrystalline cubic boron nitride body

A sintered polycrystalline cubic boron nitride (PCBN) body includes between 40 and 85 vol % of cubic boron nitride (cBN) particles and between 15 and 60 vol % of a binder phase. The binder phase has at least one metal oxide and at least one metal nitride. The metal oxide includes between 20 and 100 vol % of zirconium oxide (ZrO2) and up to 80 vol % of alumina (Al2O3) counted as a volume percentage

Central characteristics and critical success factors of design thinking for product development in industrial SMEs : a bibliometric analysis

Design thinking is an innovative methodology that may be applied by small and medium enterprises which emphasizes a human-centered approach to problem-solving, facilitating the creation of novel solutions for complex and open-ended challenges like the development of new products. Despite its recognized importance in business and academia, many industrial SMEs struggle with applying design thinking

Shared genetic factors between osteoarthritis and cardiovascular disease may underlie common etiology

Osteoarthritis is one of the most common musculoskeletal diseases and increases the risk of severe cardiovascular disease, like heart attack and stroke. In some individuals, osteoarthritis and cardiovascular disease will co-occur. This co-occurrence might be due to shared risk factors, for example high age, lifestyle factors and/or a shared genetic liability for the two diseases. Here, we show tha

Free Recall Outperforms Story Recall in Associations with Plasma Biomarkers in Preclinical Alzheimer Disease

Background: A decline in episodic memory is one of the earliest cognitive characteristics of Alzheimer disease and memory tests are heavily featured in cognitive composite endpoints that are used to demonstrate treatment efficacy. Assessments of episodic memory can take many forms including free recall, associate learning, and paragraph or story recall. Plasma biomarkers of Alzheimer disease are n

Gender blindness : on health and welfare technology, AI and gender equality in community care

Digital health and welfare technologies and artificial intelligence are proposed to revolutionise healthcare systems around the world by enabling new models of care. Digital health and welfare technologies enable remote monitoring and treatments, and artificial intelligence is proposed as a means of prediction instead of reaction to individuals’ health and as an enabler of proactive care and rehab

The Nietzschean Sellars : Remarks on the Nietzsche-Sellars view of mind

We discuss the striking similarities between Friedrich Nietzsche's and Wilfrid Sellars's respective philosophies of mind. Drawing especially on recent Nietzsche scholarship by Riccardi and Katsafanas, we argue that the Nietzschean picture of consciousness is essentially the same as Sellars's view of conceptually structured thought. In particular, we argue that both consider structured thinking to

Global, regional, and national burden of stroke and its risk factors, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

Background: Up-to-date estimates of stroke burden and attributable risks and their trends at global, regional, and national levels are essential for evidence-based health care, prevention, and resource allocation planning. We aimed to provide such estimates for the period 1990–2021. Methods: We estimated incidence, prevalence, death, and disability-adjusted life-year (DALY) counts and age-standard

Monotherapy with infusion therapies – useful or not?

Infusion pump-based therapies are an effective treatment option for patients with advanced Parkinson´s disease. Achieving monotherapy with infusion-based therapies could simplify the treatment regimen, provide better medication adherence, reduce adverse events and drug interactions. This review presents the literature data on the efficacy, safety, and achievability of monotherapy with all availabl

Cut-Offs for Disease Activity States in Axial Spondyloarthritis With Ankylosing Spondylitis Disease Activity Score (ASDAS) Based on C-Reactive Protein and ASDAS Based on Erythrocyte Sedimentation Rate : Are They Interchangeable?

Objective. Ankylosing Spondylitis Disease Activity Score based on C-reactive protein (ASDAS-CRP) is recommended over ASDAS based on erythrocyte sedimentation rate (ASDAS-ESR) to assess disease activity in axial spondyloarthritis (axSpA). Although ASDAS-CRP and ASDAS-ESR are not interchangeable, the same disease activity cut-offs are used for both. We aimed to estimate optimal ASDAS-ESR values corr

A Dialogue about Vaccine Side Effects : Understanding Difficult Pandemic Experiences

This paper investigates the relationship between the experiences of mass vaccinations against two pandemic viruses: the swine flu in 2009–2010 and COVID-19 in the early 2020s. We show how distressing memories from the swine flu vaccination, which led to the rare but severe adverse effect of narcolepsy in approximately 500 children in Sweden, were triggered by the COVID-19 pandemic. The narcolepsy

Metataxonomic analysis of halophilic archaea community in two geothermal oases in the southern Tunisian Sahara

This study assesses halophilic archaea's phylogenetic diversity in southern Tunisia's geothermal water. In the arid southern regions, limited surface freshwater resources make geothermal waters a vital source for oases and greenhouse irrigation. Three samples, including water, sediment, and halite-soil crust, were collected downstream of two geothermal springs of the Ksar Ghilane (KGH) and Zaouet

Precision treatment of beta-cell monogenic diabetes: a systematic review

Background: Beta-cell monogenic forms of diabetes have strong support for precision medicine. We systematically analyzed evidence for precision treatments for GCK-related hyperglycemia, HNF1A-, HNF4A- and HNF1B-diabetes, and mitochondrial diabetes (MD) due to m.3243 A > G variant, 6q24-transient neonatal diabetes mellitus (TND) and SLC19A2-diabetes. Methods: The search of PubMed, MEDLINE, and Emba

Effect of acetylation on wood-water interactions studied by sorption calorimetry

Sorption of water has a profound effect on the material properties of wood. The uptake of water vapour in wood and other materials releases more heat than the condensation of vapour to liquid water. This excess energy provides insights to the interactions and energy state of the absorbed water molecules. Modification of wood by acetylation is a common way of altering the wood-water interactions; h

Environmental–Economic Analysis of Multi-Node Community Microgrid Operation in Normal and Abnormal Conditions—A Case Study of Indonesia

This paper presents a comprehensive analysis of the operation management of a multi-node community microgrid (MG), emphasizing power flow constraints and the integration of photovoltaic (PV) and battery systems. This study formulates MG operation management as a multi-objective optimal power flow problem, aiming to minimize costs (maximize profits) and emissions simultaneously. The multi-objective