Under an Elsevier user license open archiveAbstract Objectives About 190,000 Germans experience a myocardial infarction each year. Of these, 25% may be eligible for an implantable cardioverter defibrillator (ICD) due to low left ventricular ejection fraction. Given the high costs of implantation, the...
Supply-side barriers (e.g. shortage of specialist mental health professionals) and demand-side barriers (e.g. lack of awareness about depression) lead to limited availability of evidence-based interventions, poor demand for care, and low levels of adherence to care. The aim of our study is ...
The necessary sample size was calculated using the public access software G*Power 3.1.9.7 for Windows [20]. The primary outcome of depression, as measured by the EPDS, was used to estimate the required sample size. Previous meta-analyses that found mindfulness in the perinatal period reduced de...
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Licensing Note: This media pack includes a Restricted Use license for Oracle Retail Predictive Application Server (RPAS) - Enterprise Engine to support Oracle® Retail Merchandise Financial Planning only. Value-Added Reseller (VAR) Language Oracle Retail VAR Applications The following restrictions and ...
where Xf denotes the feasible space, here, the set of parameter vectors for which the condition (1) holds. Because Xf is not known explicitly, the formula (3) is typically evaluated through stochastic integration, e.g., using Monte Carlo (MC) analysis. In MC, Y is estimated as $$ Y\...
Repository files navigation README Code of conduct MIT licenseOpenWeedLocatorWelcome to the OpenWeedLocator (OWL) project, an opensource hardware and software weed detector that uses entirely off-the-shelf componentry, very simple green-detection algorithms (with capacity to upgrade to in-crop detecti...
Under a Creative Commons license open accessAbstract Network slicing is a promising technique that has vastly increased the manifoldness of network services to be supported through isolated slices in a shared radio access network (RAN). Due to resource isolation, effective resource allocation for coexi...
Antenna design has evolved from bulkier to small portable designs but there is a need for smarter antenna design using machine learning algorithms that can meet today’s high growing demand for smart and fast devices. Here in this research, main focus is
Deep Learning (DL) methods are powerful analytical tools for microscopy and can outperform conventional image processing pipelines. Despite the enthusiasm and innovations fuelled by DL technology, the need to access powerful and compatible resources to t