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We describe the outcome of a data challenge conducted as part of the Dark Machines (https://www.darkmachines.org) initiative and the Les Houches 2019 workshop on Physics at TeV colliders. The challenged aims to detect signals of new physics at the Large Hadron Collider (LHC) using unsupervised machine learning algorithms. First, we propose how an anomaly score could be implemented to define model-
Synthetic biology has established powerful tools to precisely control cell function. Engineering these systems to meet clinical requirements has enormous medical implications. Here, we adopted a clinically driven design process to build receptors for the autonomous control of therapeutic cells. We examined the function of key domains involved in regulated intramembrane proteolysis and showed that
Soil and groundwater contamination is an increasingly recognised threat to public health and the environment around the globe. New types of contaminants continue to emerge, and awareness of their threat, continues to develop. Many countries have national clean-up programs with priority lists of the most hazardous contaminated sites. Investigation and remediation of these sites, however, take a lon
This paper presents the hardware/software generation backend of a code generation framework. The backend aims at synthesizing complete systems based on RISC-V cores with accelerators from a single-language description. The framework takes the dataflow description of an algorithm as input and generates a combination of hardware (in Chisel) and software (in C) that interacts with the hardware. The h
Studies on animal colour vision typically focus on the chromatic aspect of colour, which is related to the spectral distribution, and disregard the achromatic aspect, which is related to the intensity (“brightness”) of a stimulus. Although the chromatic component of vision is often most reliable for object recognition because it is fairly context independent, the achromatic component may provide a
Hydrodynamic forces from ships operating in sheltered, confined fairways can result in increased wave impact and sediment transport leading to loss of land and habitats. Nature-based solutions (NBS) offer the potential to mitigate ship-induced erosion and increase biodiversity and ecosystem services. The aim of this study is to evaluate the performance of NBS in a sheltered, confined fairway locat
Abstract in ItalianQuesta esposizione propone in maniera teoretica una critica dell’esagerazione come approccio utile a qualsiasi filosofia che si occupi dei cosiddetti temi esistenziali. Si segue l’esempio dell’esagerazione per proporre un pensare oltre l’essere, in contrasto con la questione dell’essere senza esagerazione. Infine, si propone la critica propria dell’esagerazione come atteggiamentThis theoretical exposition proposes the critique of exaggeration as the approach to any philosophy that deals with the so-called existential themes. It provides the example of exaggeration in thinking beyond being in contrast to the question of being without exaggeration. Finally, it proposes the critique of exaggeration as a philosophical attitude that resists the temptation to seriously engage
Background: Sick leave due to stress-related mental ill health increases in society. In occupational therapy, occupational balance is considered important for experiencing health and well-being. Thus, knowledge regarding occupational balance and occupational value constitute essential parts of occupational therapists’ work with people suffering from occupational ill health. Objective: The aim of t
The least absolute shrinkage and selection operator (LASSO) algorithm is a promising method for sparse source location in time–division multiplexing (TDM) multiple–input, multiple– output (MIMO) radar systems, with notable performance gains in regard to resolution enhancement and side lobe suppression. However, the current batch LASSO algorithm suffers from high– computational complexity when deal
The use of molecular data to study the evolutionary history of organisms has revolutionized the field of systematics. Now with the appearance of high throughput sequencing (HTS) technologies, more and more genetic sequence data are available. One of the important sources of genetic data for phylogenetic analyses has been mitochondrial DNA. The limitations of mitochondrial DNA for the study of phyl
Propionic acid (PA) is a naturally occurring short chain fatty acid produced by microbial fermentation of the indigestible foods in the intestine, having a positive effect on the gastrointestinal health. PA inhibits the growth of pathogenic bacteria and molds; hence it is widely used as preservative for food, feed and grains. It is also used as a component in several industrial products like polym
Impairment of normal hematopoiesis and leukemia progression are 2 well-linked processes during leukemia development and are controlled by the bone marrow (BM) niche. Extracellular matrix proteins, including laminin, are important BM niche components. However, their role in hematopoiesis regeneration and leukemia is unknown. Laminin α4 (Lama4), a major receptor-binding chain of several laminins, is
Purpose: Accuracy investigation of volumetric navigators for motion correction, with emphasis on geometric EPI distortions at ultrahigh field. Methods: High-resolution Dixon images were collected in different head positions and reconstructed to water, fat, T2*, and B0 maps. Resolution reduction was performed, and the T2* and B0 maps were used to apply effects of TE and EPI distortions to simulate
Organic electrochemical transistors formed by in operando electropolymerization of the semiconducting channel are increasingly becoming recognized as a simple and effective implementation of synapses in neuromorphic hardware. However, very few studies have reported the requirements that must be met to ensure that the polymer spreads along the substrate to form a functional conducting channel. The
The performance of structural timber connections is of utmost importance since they control the global response of the building. A ductile failure mechanism on the global scale is desirable, especially in the design of structures in seismic areas, where dissipative components in which ductile failure modes need to be ensured are considered. Therefore, the knowledge of possible brittle failure mode
This paper presents a two-stage procedure to create a surface integrity predictor. The first stage includes data clustering, which allows to evaluate the achievable surface quality. The second stage consists in training the model to predict which cluster the machined surface will belong to. To demonstrate the applicability, an experimental plan for machining of Inconel 718 in milling was developed
