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While Bayesian Optimization (BO) is a very popular method for optimizing expensive black-box functions, it fails to leverage the experience of domain experts. This causes BO to waste function evaluations on bad design choices (e.g., machine learning hyperparameters) that the expert already knows to work poorly. To address this issue, we introduce Bayesian Optimization with a Prior for the Optimum
Purpose: Sinonasal malignancies (SNM) represent a rare and complex group of cancers that includes a wide range of histopathological subtypes. Data from population-based cohorts are scarce but warranted as a basis for randomized controlled treatment trials (RCTs). Our aim was to assess overall and histology subset-specific outcomes for SNM patients treated at a tertiary referral centre. Methods: A
Current criteria for the diagnosis of CKD in adults include persistent signs of kidney damage, such as increased urine albumin-to-creatinine ratio or a GFR below the threshold of 60 ml/min per 1.73 m2 This threshold has important caveats because it does not separate kidney disease from kidney aging, and therefore does not hold for all ages. In an extensive review of the literature, we found that G
A process for synthesis of a polymeric polyalcohol substantially and preferably built up form polyester units and composed of a monomeric or polymeric initiator molecule to which at least one dentritic branch (dendron) consisting of a number of branching generations is added. The branching generations comprise a polymericor monomeric branching chain extender having three reactive functions of whic
We present a xylosylated naphthoxyloside carrying a terminal azide functionality that can be used for conjugation using click chemistry. We show that this naphthoxyloside serves as a substrate for β4GalT7 and induces the formation of soluble glycosaminoglycan (GAG) chains with physiologically relevant lengths and sulfation patterns. Finally, we demonstrate its usefulness by conjugation to the Alex
We describe in this paper the performance under synchrotron radiation of a sealed gaseous detector, Vantec-1, operating at high pressure and less prone to discharges. It is consequently operating at high gain (>105) at high local counting rates up to 106 cps/mm2. To achieve these characteristics, a thin resistive layer is used on a glass plate between the mesh and the readout anode. The performanc
In June 2019, Ruddick was considering how to embed the management of a cryptocurrency in the rural Kenyan communities that were to use it. Initially introduced as paper currencies managed by a cooperative of rural residents, moving the currency system onto the blockchain implied a change in the monetary design. The case describes communal structures that organize economic life in rural Kenya, as w
Should the economic recovery from the 2019 novel coronavirus disease (COVID-19) be green? The current crisis is so severe that we should not take the answer for granted. It requires serious thought and we start by reviewing some arguments for and against a green approach. A crucial element is of course to see how different industries fare in the current crisis. Our empirical contribution is to exa
PurposeThis study investigates how global retailers develop sustainability through network interactions that influence institutionalized sustainability perceptions. The findings enable retailers to drive sustainability systematically and understand the critical internal and external issues.Design/methodology/approachThe study investigates how retailers can work to increase support for sustainabili
The Earth Hologenome Initiative (EHI) is a global collaboration to generate and analyse hologenomic data from wild animals and associated microorganisms using standardised methodologies underpinned by open and inclusive research principles. Initially focused on vertebrates, it aims to re-examine ecological and evolutionary questions by studying host–microbiota interactions from a systemic perspect
Poly-ADP-ribose polymerase-14 (PARP14) can modify proteins and nucleic acids by the reversible addition of a single ADP-ribose molecule. Aberrant PARP14 functions have been related to cancer and inflammation, and its domains are involved in processes related to viral infection. Previous research indicates that PARP14 functions might be mediated via a multitude of target proteins. In vitro studies
Background: Antibiotics provide only modest benefit in treating sore throat, although their effectiveness increases in people with positive throat swabs for group A beta-haemolytic streptococci (GABHS). It is unclear which antibiotic is the best choice if antibiotics are indicated. This is an update of a review first published in 2010, and updated in 2013, 2016, and 2021. Objectives: To assess the
This keynote presentation explores the transformative potential of digital technologies, with a specific focus on the Internet of Things (IoT), in revolutionizing food production for a more sustainable and efficient future. It delves into the critical issue of solid food waste and how digitization, through IoT, provides valuable insights to curtail waste and enhance resource efficiency in food man
The need for autonomous robot systems in both the service and the industrial domain is larger than ever. In the latter, the transition to small batches or even “batch size 1” in production created a need for robot control system architectures that can provide the required flexibility. Such architectures must not only have a sufficient knowledge integration framework. It must also support autonomou
Physical limitations of antennas above infinite perfect electric conductor (PEC) ground planes are determined using the stored electromagnetic energy. Stored energies are computed with the method of moments (MoM) and the image theory. Convex optimization is used to derive the G/Q ratio and Q-factor for a reference geometry, and the results are compared for different antenna types.
Purpose - For eigenvalue problems containing uncertain inputs characterized by fuzzy basic parameters, first-order perturbation methods have been developed to extract eigen solutions, but either the result accuracy or the computational efficiency of these methods is less satisfactory. The purpose of this paper is to present an efficient method for estimation of fuzzy eigenvalues with high accuracy
The pyISC is a Python API and extension to the C++ based Incremental Stream Clustering (ISC) anomaly detection and classification framework. The framework is based on parametric Bayesian statistical inference using the Bayesian Principal Anomaly (BPA), which enables to combine the output from several probability distributions. pyISC is designed to be easy to use and integrated with other Python li
A novel regularization method for shape optimization of contacting structures is proposed. The shape optimization avoids parameterizations via splines or the level set method by directly optimizing the nodes in the finite element mesh. In the past this approach was limited by numerical difficulties arising from mesh entanglement and serrated boundaries but recent advances in regularization techniq
