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Pulsar binaries are important targets for ground-based and future space-borne gravitational-wave (GW) detectors. In order for improving detector design and assessing detector performances, it is a prerequisite to understand the astrophysics of GW sources such as the population size or merger rates. Here, we summarize recent results for Galactic merger rates of two known types of pulsar binaries: (
Biological diversity encompasses the genetic diversity within each species, the range of species in a given ecosystem e.g. species diversity and the diversity of ecosystems across an entire region (Primack, 2000). At present 1 per cent of the world’s described species are threatened with extinction. The most pervasive and overriding threat is habitat loss and degradation due to human activity such
The article analyses the role of the historical dimension in official Swedish debate, with a focus on the Swedish government's Living History information project on the Holocaust
Students working in groups is a commonly used method of instruction in higher education, popularized by the introduction of problem based learning. As a result, management of small groups of people has become an important skill for teachers. The objective of our study is to investigate why conflicts arise in student groups at the Faculty of Engineering at Lund University and how teachers manage th
I argue along the following lines: For Wollstonecraft, liberty is independence in two different spheres, one presupposing the other. On the one hand, liberty is independence in relation to others, in the sense of not being vulnerable to their whim or arbitrary will. Call this social, or political, liberty. For liberty understood in this way, infringements do not require individual instances of int
Gate arrays are often presented as a convenient means for ASIC prototyping. Obviously, they can both perform the same function and therefore be built from the same behavioral description. Design development implies a process of subsequent parameter bindings, leaving steadily less freedom for the remaining implementation choices. On the other hand, the ASIC offers more place & route freedom tha
Prostate Cancer Diagnosis and Treatment Enhancement Through the Power of Big Data in Europe (PIONEER) is a European network of excellence for big data in prostate cancer, consisting of 32 private and public stakeholders from 9 countries across Europe. Launched by the Innovative Medicines Initiative 2 and part of the Big Data for Better Outcomes Programme (BD4BO), the overarching goal of PIONEER is
Objectives: To evaluate how surgeon heterogeneity – the variation in outcomes between individual surgeons – influences functional and oncological outcomes after robot-assisted laparoscopic prostatectomy (RALP) and retropubic radical prostatectomy (RRP), and to assess whether surgeon heterogeneity affects the comparison between RALP and RRP. Patients and Methods: Laparoscopic Prostatectomy Robot Op
Background: To use the European Association of Urology Research Foundation (EAURF) registry data to determine the proportion of contemporary Lower Urinary Tract Symptoms associated with Benign Prostatic Enlargement (LUTS/BPE) patients prescribed phytotherapy, and to determine their subjective quality of life and clinical progression responses. Methods: This was a prospective multicenter multinatio
Purpose: Differences exist concerning when and how to perform lymph node dissection (LND) during radical prostatectomy due to lack of high-grade evidence to its safety and efficacy. We aimed to compare readmission rates between limited and extended LND during open radical prostatectomy (ORP) and robot-assisted radical prostatectomy (RARP). Materials and methods: We conducted a prospective trial of
Planning and navigation in real-time traffic is challenging, since the driving environment (e.g., road network and infrastructure) is complex and the accurate prediction of surrounding vehicles is hard. To address this, this paper proposes an environment and uncertainty-aware robust motion-planning strategy. The method achieves environment awareness by considering road-geometry constraints in the
Safe motion planning for robotic systems in dynamic environments is nontrivial in the presence of uncertain obstacles, where estimation of obstacle uncertainties is crucial in predicting future motions of dynamic obstacles. The worst case characterization gives a conservative uncertainty prediction and may result in infeasible motion planning for the ego robotic system. In this article, an efficie
