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Effect of Deformation Speed on Stress Corrosion and Fracture Toughness of Extruded Mg10Dy and Mg10Dy1Nd Using C-Ring Tests

The influence of the deformation speed in C-ring tests in Ringer's solution on crack initiation and propagation of extruded Mg10Dy and Mg10Dy1Nd is investigated. Deformation speeds varying from 2 to 0.012 mm/min allow corrosion times from a few minutes to hours. Both the crack initiation force (higher for Mg10Dy1Nd) and displacement (higher for Mg10Dy) increase with decreasing deformation speed up

Influence of Corrosion Extent on Residual Tensile Strength and Corrosion Fatigue Properties of an Mg-Y-Nd Alloy Characterized by μCT

This study focuses on the influence of inhomogeneous corrosion on the quasi-static and cyclic properties of an Mg−Y−Nd alloy. Uniform corrosion is essential for biodegradable implant materials to avoid notching effects and premature failure. Previous studies on extruded Mg−3Y−3RE have shown a pitting tendency in Ringer’s solution at 37 °C. Tensile tests on pre-corroded samples with different corro

On Rotational Waves of Limit Amplitude

In this note we discuss some recent results on extreme steady waves under gravity. They include the existence and regularity theorems for highest waves on finite depth with and without vorticity. Furthermore, we state new results concerning the asymptotic behavior of surface profiles near stagnation points. In particular, we find that the wave profile of an extreme wave is concave near each crest,

Non-local transitions and ground state switching in the self-organization of vascular networks

The model by D. Hu and D. Cai [Phys. Rev. Lett. 111, 138701 (2013). doi:10.1103/PhysRevLett.111.138701] describes the self-organization of vascular networks for transport of fluids from source to sinks. Diameters, and thereby, conductances, of vessel segments evolve so as to minimize a cost functional E . The cost is the trade-off between the power required for pumping the fluid and the energy con

Association between the EAT-Lancet Diet, Incidence of Cardiovascular Events, and All-cause Mortality : Results from a Swiss Cohort

BACKGROUND: An unhealthy diet is a major contributor to several noncommunicable diseases, including cardiovascular diseases (CVD), the leading cause of death worldwide. Additionally, our food system has significant impacts on the environment. The EAT-Lancet Commission has recommended a healthy diet that preserves global environmental resources.OBJECTIVE: This prospective study evaluated the associ

Improving neural network efficiency with multifidelity and dimensionality reduction techniques

Design problems in aerospace engineering often require numerous evaluations of expensive-to-evaluate high-fidelity models, resulting in prohibitive computational costs. One way to address the computational cost is through building surrogates, such as deep neural networks (DNNs). However, DNNs may only be an effective surrogate when sufficient evaluations of the high-fidelity model are required suc

Identifying Enablers for a Circular Healthcare Supply Chain : An Integrated Fuzzy DEMATEL-MMDE Approach with Hesitant Information

Over the past decade, the healthcare industries have been facing the issue of resource scarcity due to socio-political wars, the COVID-19 pandemic, the luxury lifestyles of people, and the prevalence of single-use medical devices. The circular economy (CE) can be vital in accommodating the evolving patient and provider demands. The CE defies the conventional take-make-dispose process and advocates

Institutional Complexity in World Politics

While the post-1945 period witnessed the rise of multilateralism and the creation of numerous international institutions to deal with cross-border issues, the 21st century is marked by their contestation and transformation. The United Nations, including its specialized agencies and several other bodies, has come under heavy criticism for the inability to effectively cope with global challenges. In

Immunological biomarkers in patients with radiographic axial spondyloarthritis, an exploratory longitudinal Swedish study

Objectives: There is a need for more specific biomarkers to diagnose and predict disease course in patients with axial spondyloarthritis (axSpA). This study aimed to study immunological plasma biomarkers at different time-points in radiographic (r)-axSpA patients overall and stratified by sex and compare these biomarker patterns in r-axSpA patients concerning disease phenotypes and disease activit

Treating shock with norepinephrine administered in midline catheters in an intermediary care unit : A retrospective cohort study

Objectives A rising incidence of septic shock as well as recommendations for early vasopressor initiation has increased the number of patients eligible for norepinephrine (NE). Traditionally, NE has been administered through central lines, in intensive care units, due to the risk of extravasation in peripheral lines. The aim of the current study is to determine the rate of complications and patien

GARCH-Informed Neural Networks for Volatility Prediction in Financial Markets

Volatility, which indicates the dispersion of returns, is a crucial measure of risk and is hence used extensively for pricing and discriminating between different financial investments. As a result, accurate volatility prediction receives extensive attention. The Generalized Autoregressive Conditional Heteroscedasticity (GARCH) model and its succeeding variants are well established models for stoc

Predicting troponin biomarker elevation from electrocardiograms using a deep neural network

Background Elevated troponin levels are a sensitive biomarker for cardiac injury. The quick and reliable prediction of troponin elevation for patients with chest pain from readily available ECGs may pose a valuable time-saving diagnostic tool during decision-making concerning this patient population. Methods and results The data used included 15 856 ECGs from patients presenting to the emergency r

Effectiveness of nutritional education intervention during pregnancy on birth outcomes in sub-Saharan Africa : a protocol for a systematic review and meta-analysis

Introduction Nutritional education intervention during pregnancy is the process of teaching pregnant women about the importance of a healthy diet and how to make healthy food choices. It is an important part of public health and vital to preventing adverse birth outcomes. Therefore, synthesising available evidence on the effect of nutritional education intervention on birth outcomes is essential f