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Uniaxial hydroxyapatite growth on a self‐assembled protein scaffold

Biomineralization is a crucial process whereby organisms produce mineralized tissues such as teeth for mastication, bones for support, and shells for protection. Mineralized tissues are composed of hierarchically organized hydroxyapatite crystals, with a limited capacity to regenerate when demineralized or damaged past a critical size. Thus, the development of protein‐based materials that act as a

Novel branched oxetane polyester

A novel branched oxetane polyester having one or more oxetane groups is disclosed. Said branched oxetane polyester is the reaction product of at least one di, tri or polyhydric compound, at least one di, tri or polycarboxylic acid or an analogous alkyl ester, halide or anhydride, and at least one compound having at least one oxetane group and at least one hydroxyl group. Said di, tri or polyhydric

Compositions comprising photoinitiator and oxetane compound

An energy curable composition comprises a photoinitiator and a polymerisable compound of formula (I): where: R represents a C1 - C4 alkyl group, an aryl group or an aralkyl group; R represents a group of formula -O-R or a group R; R represents a C1 - C20 alkyl group, a C2 - C20 alkenyl group, an aryl group, an aralkyl group, a polyalkylene oxide group or a poly(lactone group); R represents a C1 -

Beaded and cross-linked poly(aminoalkylene) matrix and uses thereof

The present invention relates to the synthesis of a beaded and cross-linked, high loading capacity polymer for solid phase synthesis, purification of reaction mixtures, chromatographic separation procedures, and the like. The invention can thus be used for the isolation of molecular entities having an affinity for the polymer beads or a chemical entity attached thereto. The beaded polymer matrix c

Transition to Distance Education in 2020 : Challenges among University Faculty in Sweden

This study aims to describe the challenges that faculty faced in the transition to distance education in higher education during the COVID-19 pandemic in spring 2020. The study presents the results from a nationwide questionnaire, answered by 1,963 individuals, concerning the transition among university faculty in Sweden. The results highlight the main obstacles and describe the practices in teach

Regional kulturpolitik + konstnärlig forskning = utveckling av kulturinstitutioner?

Tidigare forskning har pekat på ökad instrumentalisering i regional kulturpolitik i Sverige efter Kultursamverkansmodellens införande. Denna studie visar på förändringar i Region Skånes kulturpolitiska argumentation som tvärtom innebär förstärkning av konstens och kulturens egenvärde, och vikten av utrymme för konstnärligt utvecklingsarbete. Den visar också på att Region Skåne provar nya sätt att

Detection of unilateral arm paresis after stroke by wearable accelerometers and machine learning

Recent advances in stroke treatment have provided effective tools to successfully treat ischemic stroke, but still a majority of patients are not treated due to late arrival to hospital. With modern stroke treatment, earlier arrival would greatly improve the overall treatment results. This prospective study was performed to asses the capability of bilateral accelerometers worn in bracelets 24/7 to

Efficient real-time radial distortion correction for UAVs

In this paper we present a novel algorithm for onboard radial distortion correction for unmanned aerial vehicles (UAVs) equipped with an inertial measurement unit (IMU), that runs in real-time. This approach makes calibration procedures redundant, thus allowing for exchange of optics extemporaneously. By utilizing the IMU data, the cameras can be aligned with the gravity direction. This allows us

Detection of left bundle branch block and obstructive coronary artery disease from myocardial perfusion scintigraphy using deep neural networks

Myocardial perfusion scintigraphy, which is a non-invasive imaging technique, is one of the most common cardiological examinations performed today, and is used for diagnosis of coronary artery disease. Currently the analysis is performed visually by physicians, but this is both a very time consuming and a subjective approach. These are two of the motivations for why an automatic tool to support th

Minimal solvers for indoor UAV positioning

In this paper we consider a collection of relative pose problems which arise naturally in applications for visual indoor navigation using unmanned aerial vehicles (UAVs). We focus on cases where additional information from an onboard IMU is available and thus provides a partial extrinsic calibration through the gravitational vector. The solvers are designed for a partially calibrated camera, for a

Prediction of obstructive coronary artery disease from myocardial perfusion scintigraphy using deep neural networks

For diagnosis and risk assessment in patients with stable ischemic heart disease, myocardial perfusion scintigraphy is one of the most common cardiological examinations performed today. There are however many motivations for why an artificial intelligence algorithm would provide useful input to this task. For example to reduce the subjectiveness and save time for the nuclear medicine physicians wo

Cerebrospinal Fluid Biomarker Levels as Markers for Nursing Home Placement and Survival Time in Alzheimer's Disease

BACKGROUND: Cerebrospinal fluid (CSF) biomarkers are associated with conversion from mild cognitive impairment to Alzheimer's disease (AD), but their predictive value for later end-points has been less evaluated with inconsistent results.OBJECTIVE: We investigated potential relationships between CSF amyloid-β1-42 (Aβ42), phosphorylated tau (P-tau), and total tau (T-tau) with time to nursing home p