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Ferroelectric Memristors - Materials, Interfaces and Applications

The backbone of modern computing systems rely on two key things: logic and memory, and while computing power hasseen tremendous advancements through scaling of the fundamental building block – the transistor, memory access hasn’tevolved as rapidly, leading to significant memory-bound systems. Additionally, the rapid evolution of machine learningand deep neural network (DNN) applications, has expos

Interim Report on Gribshunden (1495) Excavations: 2019–2021

We present an interim archaeological report on the ship- wreck of the Danish-Norwegian flagship Gribshunden. Built in 1485, extensively employed by King Hans as his floating castle, and ultimately lost in June 1495 en route to Kalmar, the ship carried people and material selected to further the political goal of re-unifying the Nordic region. Three field campaigns led by Lund University and Blekin

Proteomic analysis shows decreased type I fibers and ectopic fat accumulation in skeletal muscle from women with PCOS

Background: Polycystic ovary syndrome's (PCOS) main feature is hyperandrogenism, which is linked to a higher risk of metabolic disorders. Gene expression analyses in adipose tissue and skeletal muscle reveal dysregulated metabolic pathways in women with PCOS, but these differences do not necessarily lead to changes in protein levels and biological function. Methods: To advance our understanding of

Symptoms during pregnancy in primiparous women with congenital heart disease

Background: As more women with congenital heart disease (CHD) are reaching childbearing age, it becomes more common for their symptoms to be evaluated during pregnancy. However, pregnancy-related symptoms are similar to those caused by heart disease. This study investigated the prevalence of factors associated with symptoms during pregnancy in women with CHD. Methods: The national birth register w

Low-power Acceleration of Convolutional Neural Networks using Near Memory Computing on a RISC-V SoC

The recent peak in interest for artificial intelligence, partly fueled by languagemodels such as ChatGPT, is pushing the demand for machine learning and dataprocessing in everyday applications, such as self-driving cars, where low latency iscrucial and typically achieved through edge computing. The vast amount of dataprocessing required intensifies the existing performance bottleneck of the datamo

Parity-conserving Cooper-pair transport and ideal superconducting diode in planar germanium

Superconductor/semiconductor hybrid devices have attracted increasing interest in the past years. Superconducting electronics aims to complement semiconductor technology, while hybrid architectures are at the forefront of new ideas such as topological superconductivity and protected qubits. In this work, we engineer the induced superconductivity in two-dimensional germanium hole gas by varying the