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A Socio-Material Study of User Involvement: Interrogating the practices of technology development for older people in a digitalised world

Population ageing and increased digitalization each constitute an ongoing and profound transformation within contemporary modes of living, as growing advances in technological development mix and intermingle with the lived realities of older people as the final recipients. It is against the backdrop of this interplay that user involvement has enjoyed ever-rising advocacy to an almost normative deg

Motivating vaccination with financial incentives

Governments and organizations often offer cash payments for vaccination. How effective are such payments? A literature review shows that incentives usually increase vaccination, especially for nonhesitant populations and when using guaranteed payments. Concerns about negative unintended consequences are unsupported. We also discuss open questions and avenues for future research.

Xenografts Show Signs of Concentric Hypertrophy and Dynamic Left Ventricular Outflow Tract Obstruction after Orthotopic Pig-to-baboon Heart Transplantation

Background. Orthotopic cardiac xenotransplantation has seen substantial advancement in the last years and the initiation of a clinical pilot study is close. However, donor organ overgrowth has been a major hurdle for preclinical experiments, resulting in loss of function and the decease of the recipient. A better understanding of the pathogenesis of organ overgrowth after xenotransplantation is ne

Data-driven estimation of scalar quantities from planar velocity measurements by deep learning applied to temperature in thermal convection

The measurement of the transport of scalar quantities within flows is oftentimes laborious, difficult or even unfeasible. On the other hand, velocity measurement techniques are very advanced and give high-resolution, high-fidelity experimental data. Hence, we explore the capabilities of a deep learning model to predict the scalar quantity, in our case temperature, from measured velocity data. Our

Efficacy of immune checkpoint inhibitors in alveolar soft-part sarcoma : results from a retrospective worldwide registry

Background: Conventional cytotoxic drugs are not effective in alveolar soft-part sarcoma (ASPS). Immune checkpoint (programmed cell death protein 1/programmed death-ligand 1) inhibitors (ICIs) are promising drugs in ASPS. A worldwide registry explored the efficacy of ICI in ASPS. Materials and methods: Data from adult patients diagnosed with ASPS and treated with ICI for advanced disease in expert

Pulmonary delivery systems for antimicrobial peptides

Bacterial infections of the respiratory tract cause millions of deaths annually. Several diseases exist wherein (1) bacterial infection is the main cause of disease (e.g., tuberculosis and bacterial pneumonia), (2) bacterial infection is a consequence of disease and worsens the disease prognosis (e.g., cystic fibrosis), and (3) bacteria-triggered inflammation propagates the disease (e.g., chronic

NATURAL FIRE TESTS ON GLT COLUMNS INCLUDING THE COOLING DOWN PHASE

This paper presents the data and the results of seven fire tests performed on glue laminated timber columns in a compartment built especially for the tests and in which timber wood cribs created a so-called natural fire. These tests are part of a research programme titled "burnout resistance" to establish a new methodology to better describe performance of structural elements during the whole dura

A perspective-taking university course for cancer survivors, loved ones and healthcare professionals

Denna studie redovisar resultaten av en universitetskurs som syftar till att utforska och förbättra samarbetet inom vården med både canceröverlevare, anhöriga och vårdpersonal som studenter.Centralt i kursen var förståelsen för och att röra sig mellan varandras perspektiv. Genom att arbeta inom ramar inspirerade av problembaserat lärande (PBL), skapade små grupper bestående av minst en canceröverlThis study reports the results of a university course aimed at exploring and improving cooperation in healthcare with both cancer survivors, loved ones and healthcare professionals as students.Central to the course was the understanding of and moving between each other's perspectives. Operating within a framework inspired by problem-based learning (PBL), small groups consisting of at least one can

Certified Core-Guided MaxSAT Solving

In the last couple of decades, developments in SAT-based optimization have led to highly efficient maximum satisfiability (MaxSAT) solvers, but in contrast to the SAT solvers on which MaxSAT solving rests, there has been little parallel development of techniques to prove the correctness of MaxSAT results. We show how pseudo-Boolean proof logging can be used to certify state-of-the-art core-guided