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Decision making in autonomic computing systems : Comparison of approaches and techniques

Autonomic computing systems adapt themselves thousands of times a second, to accomplish their goal despite changing environmental conditions and demands. The literature reports many decision mechanisms, but in most realizations a single one is applied. This paper compares some state-of-the-art decision making approaches, applied to a self-optimizing autonomic system that allocates resources to a s

Random forest modelling of high-dimensional mixed-type data for breast cancer classification

Advances in high-throughput technologies encourage the generation of large amounts of multiomics data to investigate complex diseases, including breast cancer. Given that the aetiologies of such diseases extend beyond a single biological entity, and that essential biological information can be carried by all data regardless of data type, integrative analyses are needed to identify clinically relev

Optimal Selection of the Regularization Function in a Weighted Total Variation Model. Part II : Algorithm, Its Analysis and Numerical Tests

Based on the weighted total variation model and its analysis pursued in Hintermüller and Rautenberg 2016, in this paper a continuous, i.e., infinite dimensional, projected gradient algorithm and its convergence analysis are presented. The method computes a stationary point of a regularized bilevel optimization problem for simultaneously recovering the image as well as determining a spatially distr

A convergent overlapping domain decomposition method for total variation minimization

In this paper we are concerned with the analysis of convergent sequential and parallel overlapping domain decomposition methods for the minimization of functionals formed by a discrepancy term with respect to the data and a total variation constraint. To our knowledge, this is the first successful attempt of addressing such a strategy for the nonlinear, nonadditive, and nonsmooth problem of total

On the development of all-cellulose capsules by vesicle-templated layer-by-layer assembly

Polymeric multilayer capsules formed by the layer-by-layer (LbL) technique are interesting candidates for the purposes of storage, encapsulation, and release of drugs and biomolecules for pharmaceutical and biomedical applications. In the current study, cellulose-based core-shell particles were developed via the LbL technique alternating two cellulose derivatives, anionic carboxymethyl-cellulose (

GenetIC - A new initial conditions generator to support genetically modified zoom simulations

We present genetIC, a new code for generating initial conditions for cosmological N-body simulations. The code allows precise, user-specified alterations to be made to arbitrary regions of the simulation (while maintaining consistency with the statistical ensemble). These "genetic modifications"allow, for example, the history, mass, or environment of a target halo to be altered in order to study t

Digitally Assisted Adaptive Non-Linearity Suppression Scheme for RF front ends

This paper presents a robust and low-complexity non-linearity suppression scheme for radio frequency (RF) transceiver building blocks to efficiently mitigate intermodulation distortion. The scheme consists of tunable RF components assisted by an auxiliary path equipped with an adaptive digital signal processing algorithm to provide the tuning control. This proposed concept of digitally-assisted tu

Impact of COVID-19 in paediatric early-phase cancer clinical trials in Europe : A report from the Innovative Therapies for Children with Cancer (ITCC) consortium

Introduction: Data regarding real-world impact on cancer clinical research during COVID-19 are scarce. We analysed the impact of the COVID-19 pandemic on the conduct of paediatric cancer phase I–II trials in Europe through the experience of the Innovative Therapies for Children with Cancer (ITCC). Methods: A survey was sent to all ITCC-accredited early-phase clinical trial hospitals including ques

A new tool to assess Clinical Diversity In Meta-analyses (CDIM) of interventions

Objective: To develop and validate Clinical Diversity In Meta-analyses (CDIM), a new tool for assessing clinical diversity between trials in meta-analyses of interventions. Study design and setting: The development of CDIM was based on consensus work informed by empirical literature and expertise. We drafted the CDIM tool, refined it, and validated CDIM for interrater scale reliability and agreeme

Novel metric “Implenarity” for characterization of shape and defectiveness : The case of CFRP hole quality

Image Processing is rapidly expanding as a technique for object and defect analysis because of the high ease of its coupling to automation and IT solutions. Yet, issues with transferability of the measurement approaches and metrics currently used in mechanical systems often remain unsolved. Study reports on the developed approach for shape and defectiveness characterization by combining Delaunay t

Transient Lipid-Protein Structures and Selective Ganglioside Uptake During α-Synuclein-Lipid Co-aggregation

α-Synuclein is a membrane-interacting protein involved in Parkinson’s disease. Here we have investigated the co-association of α-synuclein and lipids from ganglioside-containing model membranes. Our study relies on the reported importance of ganglioside lipids, which are found in high amounts in neurons and exosomes, on cell-to-cell prion-like transmission of misfolded α-synuclein. Samples taken a

Self-adaptive software meets control theory : A preliminary approach supporting reliability requirements

This paper investigates a novel approach to derive self-adaptive software by automatically modifying the model of the application using a control-theoretical approach. Self adaptation is achieved at the model level to assure that the model-which lives alongside the application at run-time- continues to satisfy its reliability requirements, despite changes in the environment that might lead to a vi

"Only to the benefit of some private persons" : The concept of "private" in records from the Swedish estates assembly, 1521-1731

In this article I explore the different and changing meanings of the concept “privat” in records from the Swedish Riksdag (state assembly) from the sixteenth to the beginning of the eighteenth century. I analyze how the concept was used in different contexts, such as questions concerning e.g. private and public religious practices, relations between individuals and communities, and relations betweIn this article I explore the different and changing meanings of the concept “privat” in records from the Swedish Riksdag (state assembly) from the sixteenth to the beginning of the eighteenth century. I analyze how the concept was used in different contexts, such as questions concerning e.g. private and public religious practices, relations between individuals and communities, and relations betwe

Membrane Protein Structures in Lipid Bilayers; Small-Angle Neutron Scattering With Contrast-Matched Bicontinuous Cubic Phases

This perspective describes advances in determining membrane protein structures in lipid bilayers using small-angle neutron scattering (SANS). Differentially labeled detergents with a homogeneous scattering length density facilitate contrast matching of detergent micelles; this has previously been used successfully to obtain the structures of membrane proteins. However, detergent micelles do not mi

Political Psychology of European Integration

Writing over two decades ago, Stuart Hall (1991) first told the story of European identity as contradictory processes of marking symbolic boundaries and constructing symbolic frontiers between inside and outside, interior and exterior, belonging and otherness, which are central to any account of the political psychology of European integration. The study of European integration has come a long way

Overlapping domain decomposition methods for total variation denoising

Alternating and parallel overlapping domain decomposition methods for the minimization of the total variation are presented. Their derivation is based on the predual formulation of the total variation minimization problem. In particular, the predual total variation minimization problem is decomposed into overlapping domains yielding subdomain problems in the respective dual space. Subsequently the