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CPAP Intervention as an Add-On Treatment to Lipid-Lowering Medication in Coronary Artery Disease Patients with Obstructive Sleep Apnea in the RICCADSA Trial

Dyslipidaemia is a well-known risk factor for coronary artery disease (CAD), and reducing lipid levels is essential for secondary prevention in management of these high-risk individuals. Dyslip-idaemia is common also in patients with obstructive sleep apnea (OSA). Continuous positive airway pressure (CPAP) is the first line treatment of OSA. However, evidence of a possible lipid-lowering effect of

A Prehospital Emergency Psychiatric Unit in an Ambulance Care Service from the Perspective of Prehospital Emergency Nurses : A Qualitative Study

The prevalence of mental illness is steadily increasing, and ambulance teams frequently attend cases with suspected mental illness. A pilot project, Psychiatric Emergency Response Team (PAP), was carried out in which a prehospital emergency nurse (PEN) was accompanied by a psychiatric specialist nurse in the assessment of individuals with mental illness. The aim of the present study was to evaluat

Car driving status and living arrangement associated with sarcopenia among rural japanese older adults : A cross-sectional study

Ensuring mobility after driving cessation is an important public health issue to prevent functional limitations, but this issue is still not fully understood in rural settings. The aim of this study was to test the hypothesis that being a non-driver and living alone is associated with a greater risk of sarcopenia among the community-dwelling elderly in rural Japanese areas. This study was conducte

Labour, Capital and Property Rights in a Land Abundant Peasant Economy : Explaining the Relative Success of Native Purchase Farmers in Southern Rhodesia, c. 1930-1960

The lack of secure property rights has been identified by a number of economists – past and present – as an obstacle for long-term growth of output of African farming. The foundation for such a claim is that insecure property rights hinder long-term capital investments. Although the observed infrequency of private property rights in African history is correct there are exceptions. This paper exami

Simulation of phase evolution in a Zr-based glass forming alloy during multiple laser remelting

Additive manufacturing by laser-based powder bed fusion is a promising technique for bulk metallic glass production. But, reheating by deposition of subsequent layers may cause local crystallisation of the alloy. To investigate the crystalline phase evolution during laser scanning of a Zr-based metallic glass-forming alloy, a simulation strategy based on the finite element method and the classical

Structural analysis of botulinum neurotoxins type B and E by Cryo-EM

Botulinum neurotoxins (BoNTs) are the causative agents of a potentially lethal paralytic disease targeting cholinergic nerve terminals. Multiple BoNT serotypes exist, with types A, B and E being the main cause of human botulism. Their extreme toxicity has been exploited for cosmetic and therapeutic uses to treat a wide range of neuromuscular disorders. Although naturally occurring BoNT types share

Exploring the Populist ‘Mind’: Anxiety, Fantasy, and Everyday Populism

This article is focused on the appeal of far-right populist politics in the everyday and how this appeal is related to continuity and change in the global order. Contemporary societies have witnessed an upsurge of populist movements and groups set on filling a political space by appealing to a population in search of solutions to an ever-changing political and economic landscape. Here, we specific

Anxiety and climate change : a validation of the Climate Anxiety Scale in a German-speaking quota sample and an investigation of psychological correlates

The climate crisis is an unprecedented existential threat that causes disturbing emotions, such as anxiety. Recently, Clayton and Karazsia measured climate anxiety as “a more clinically significant ‘anxious’ response to climate change” (2020, p. 9). To gain a more nuanced understanding of the phenomenon from an empirical psychological perspective, we translated the core of the Climate Anxiety Scal

Online Sparse Reconstruction for Scanning Radar Using Beam-Updating q-SPICE

The generalized sparse iterative covariance-based estimation ( $q$ -SPICE) algorithm was recently introduced for scanning radar applications, resulting in substantial improvements in the angular resolution and quality of the processed images. Regrettably, the computational complexity and storage cost are high and quickly increase with growing data size, limiting the applicability of the estimator.

Girth Analysis and Design of Periodically Time-Varying SC-LDPC Codes

Time-varying spatially coupled low-density parity-check (SC-LDPC) codes with very large period are characterized by significantly better error rate performance and girth properties than their time-invariant counterparts, but the number of parameters they require to be described is usually very large and unpractical. Time-invariant SC-LDPC codes, which can be seen as periodically time-varying codes

Optimal Design of Electronic Bouncers for Long-Pulse High-Power Modulators

Modern high-voltage high-power pulsed modulators typically generate pulses by discharging energy stored in one or more capacitor banks into the load. The capacitor discharge manifests itself as output pulse droop which must be compensated for. To eliminate such droop, modulators utilizing pulse transformers require external circuitry and, typically, passive resonant bouncer circuits are used. For

ACN-Sim : An Open-Source Simulator for Data-Driven Electric Vehicle Charging Research

ACN-Sim is a data-driven, open-source simulation environment designed to accelerate research in the field of smart electric vehicle (EV) charging. It fills the need in this community for a widely available, realistic simulation environment in which researchers can evaluate algorithms and test assumptions. ACN-Sim provides a modular, extensible architecture, which models the complexity of real char

High-dimensional channel estimation for simultaneous localization and communications

Simultaneous localization and communication (SLAC) is a desirable feature of 5G and beyond 5G wireless networks. To be able to implement SLAC, efficient high dimensional channel estimation methods are critical. This work presents a low-complexity multidimensional channel parameter estimation via rotational invariance techniques (MD-ESPRIT). We use both the spatial smoothing and forward-backward av