Editorial

In the past years, digital signal processing (DSP) algorithms and architectures for baseband communication systems have fuelled the delivery of applications such as 3G mobile communications and wireless LAN to mass markets. This was made possible by a tremendous growth in the performance of computational devices such as digital signal processors and FPGAs, as well as an increase in sampling rates of conversion devices to potentially several 100 MHz. While the development of both computational devices and ADCs/DACs continues, thus permitting DSP to be applied at IF sampling rates and possibly beyond, the opportunities for further enhancing radio devices by DSP algorithms and architectures arise. Against this background of development, an IEE/EURASIP conference on “DSP-Enabled Radio” was held at the Institute for System Level Integration (ISLI) in Livingston, Scotland, in September 2003. This very lively one-and-ahalf- day event brought together 120 researchers from both industry and academia with a strong international participation. It was the spirit of this DSP-Enabled Radio conference and the contributions therein that brought to life the idea to this special issue. This issue contains both contributions from the event and responses to an open call for papers

Longitudinal Monitoring of SARS-CoV-2 IgM and IgG Seropositivity to Detect COVID-19.

BackgroundSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is a novel beta-coronavirus that has recently emerged as the cause of the 2019 coronavirus pandemic (COVID-19). Polymerase chain reaction (PCR) based tests are optimal and recommended for the diagnosis of an acute SARS-CoV-2 infection. Serology tests for viral antibodies provide an important tool to diagnose previous exposure to the virus. Here we evaluate the analytical performance parameters of the Diazyme SARS-CoV-2 IgM/IgG serology assays and describe the kinetics of IgM and IgG seroconversion observed in patients with PCR-confirmed COVID-19 who were admitted to our hospital.MethodsWe validated the performance of the Diazyme assay in 235 presumed SARS-CoV-2 negative subjects to determine specificity. Subsequently, we evaluated the SARS-CoV-2 IgM and IgG seroconversion of 54 PCR-confirmed COVID-19 patients and determined sensitivity of the assay at three different timeframes.ResultSensitivity and specificity for detecting seropositivity at ≥15 days following a positive SARS-CoV-2 PCR result, was 100.0% and 98.7% when assaying for the panel of IgM and IgG. The median time to seropositivity observed for a reactive IgM and IgG result from the date of a positive PCR was 5 days (IQR: 2.75-9 days) and 4 days (IQR: 2.75-6.75 days), respectively.ConclusionsOur data demonstrate that the Diazyme IgM/IgG assays are suited for the purpose of detecting SARS-CoV-2 IgG and IgM in patients with suspected SARS-CoV-2 infections. For the first time, we report longitudinal data showing the evolution of seroconversion for both IgG and IgM in a cohort of acutely ill patients in the United States. We also demonstrate a low false positive rate in patients who were presumed to be disease free

FEniCS-HPC: Automated predictive high-performance finite element computing with applications in aerodynamics

Developing multiphysics finite element methods (FEM) and scalable HPC implementations can be very challenging in terms of software complexity and performance, even more so with the addition of goal-oriented adaptive mesh refinement. To manage the complexity we in this work present general adaptive stabilized methods with automated implementation in the FEniCS-HPC automated open source software framework. This allows taking the weak form of a partial differential equation (PDE) as input in near-mathematical notation and automatically generating the low-level implementation source code and auxiliary equations and quantities necessary for the adaptivity. We demonstrate new optimal strong scaling results for the whole adaptive framework applied to turbulent flow on massively parallel architectures down to 25000 vertices per core with ca. 5000 cores with the MPI-based PETSc backend and for assembly down to 500 vertices per core with ca. 20000 cores with the PGAS-based JANPACK backend. As a demonstration of the power of the combination of the scalability together with the adaptive methodology allowing prediction of gross quantities in turbulent flow we present an application in aerodynamics of a full DLR-F11 aircraft in connection with the HiLift-PW2 benchmarking workshop with good match to experiments

Plasma Magnetohydrodynamics and Energy Conversion

Contains reports on three research project.U. S. Air Force (Aeronautical Systems Division) under Contract AF33 (615)-1083Air Force Aero Propulsion Laboratory, Wright-Patterson Air Force Base, OhioNational Science Foundation (Grant G-24073

Plants, people and health: Three disciplines at work in Namaqualand

In Paulshoek, Namaqualand, three research projects focusing on medicinal plants were developed concurrently. The projects were based in the disciplines of anthropology, botany and chemistry. In this paper, we explore how these projects related to one another and describe the conversations that occurred in the process of searching for transdisciplinary knowledge. The projects ostensibly shared a common object of knowledge, but it was through working together that the medicinal plants constituted us as a community of scholars. As our insight into our respective disciplinary relationships with the plants grew, so did our understanding of the limitations of our respective disciplinary positions. The process made possible a ‘reimagination’ of both the object of study and our relationships to it and to one another. The research project, conceptualised in 2009, engaged current debates on indigenous knowledge and its historical erasures, and offered an approach that has potential to produce new knowledges while respecting the integrity of the disciplines. This approach requires a non-competitive attitude to research and one that acknowledges the contributions that can be made by multiple approaches

Plasma Magnetohydrodynamics and Energy Conversion

Contains reports on five research projects.U. S. Air Force (Research and Technology Division) under Contract AF33(615)-1083 with the Air Force Aero Propulsion Laboratory, Wright-Patterson Air Force Base, Ohi

Must Milton Friedman Embrace Stakeholder Theory?

Milton Friedman famously stated that the only social responsibility of business is to increase its profits, a position now known as the shareholder model of business. Subsequently, the stakeholder model, associated with Edward Freeman, has been widely seen as a heuristically stronger theory of the responsibilities of the firm to the society in which it is situated. Friedman's position, nevertheless, has retained currency among many business thinkers. In this paper we argue that Friedman's economic writings assume an economy in which businesses operate under the protections of limited liability, which allows corporations to privatize their gains while externalizing their losses. By accepting limited liability, Friedman must also accept a view of business as embedded in social interdependency, which serves as the logical and moral foundation for corporate social responsibility (CSR). To restore consistency to his economic principles, Friedman must refuse limited liability or modify his doctrine on CSR and the related stakeholder model of business

Brief Report: The Value of a Patient Global Assessment of Disease Activity in Granulomatosis With Polyangiitis (Wegener's)

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/102695/1/art38248.pd