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Validation of a prediction model for post-chemotherapy fibrosis in nonseminoma patients

Objective: To validate Vergouwe's prediction model using the Swedish and Norwegian Testicular Cancer Group (SWENOTECA) RETROP database and to define its clinical utility. Materials and methods: Vergouwe's prediction model for benign histopathology in post-chemotherapy retroperitoneal lymph node dissection (PC-RPLND) uses the following variables: presence of teratoma in orchiectomy specimen; pre-ch

Nuclear physics midterm plan at Legnaro National Laboratories (LNL)

The next years will see the completion of the radioactive ion beam facility SPES (Selective Production of Exotic Species) and the upgrade of the accelerators complex at Istituto Nazionale di Fisica Nucleare – Legnaro National Laboratories (LNL) opening up new possibilities in the fields of nuclear structure, nuclear dynamics, nuclear astrophysics, and applications. The nuclear physics community ha

Fructan Enzymes in Microbes and Plants : Structure, Function, and Product Formation

Fructans—fructose-based oligo- or polysaccharides—are de novo synthesized from sucrose by transfructosylating enzymes of microorganisms and plants. Fructan-producing enzymes belong to glycoside hydrolase families 32 and 68. Levansucrases, inulosucrases, some invertases, sucrose:sucrose 1-fructosyl transferases, fructan:fructan 1-fructosyl transferases, sucrose:fructan 6-fructosyl transferases and

Safe transport of children with disabilities and medical conditions : caregiver experiences

Background: Road vehicle transportation is essential to support community access and participation for all children. However, little is known about the transport patterns of children with disabilities and medical conditions and their caregivers’ experiences supporting them to be transported safely in road vehicles in Australia. Aim: To understand the transport needs of children with disabilities a

Bounce: a Reliable Bayesian Optimization Algorithm for Combinatorial and Mixed Spaces

Impactful applications such as materials discovery, hardware design, neural architecture search, or portfolio optimization require optimizing high-dimensional black-box functions with mixed and combinatorial input spaces. While Bayesian optimization has recently made significant progress in solving such problems, an in-depth analysis reveals that the current state-of-the-art methods are not reliab

How does the regional presence of foreign-owned multinational enterprises affect local start-up performance

This paper analyses how the presence of foreign-owned multinational enterprises (MNEs) affects the performance of start-ups in the same region. Focusing on the population of Swedish start-ups and MNEs between 2007 and 2015, we investigate the relationship between start-up productivity and regional share of MNE employment. We find effects that differ by sectoral belonging of start-ups and MNEs. Not