In this paper we investigate protocols for scheduling applications that consist of large numbers of identical, independent tasks on large-scale computing platforms. By imposing a tree structure on an overlay network of computing nodes, our previous work showed that it is possible to compute the schedule which leads to the optimal steady-state task completion rate. However, implementing this opt...

This demo shows an ODRL editor where RDF policies can be defined and enforced to grant access personal data stored in Solid Pods. Policies are represented using OAC, the profile for Access Control, which allows definition of complex, fine-grained permissive prohibitive that aligned with GDPR requirements regarding processing data. In addition, a second demonstrator is presented simulate app’s r...

Smoothing splines provide a powerful and flexible means for nonparametric estimation inference. With cubic time complexity, fitting smoothing spline models to large data is computationally prohibitive. In this paper, we use the theoretical optimal eigenspace derive low-rank approximation of estimates. We develop method approximate eigensystem when it unknown error bounds The proposed methods ar...

Interpolating unstructured data using barycentric coordinates becomes infeasible at high dimensions due to the prohibitive memory requirements of building a Delaunay triangulation. We present new algorithm construct ad-hoc simplices that are empirically guaranteed contain target coordinates, based on nearest neighbor heuristic and an iterative dimensionality reduction through projection. use th...

Drug use among young people is increasing in Africa. To prevent drug use, it essential to understand the motivations, environments, and characteristics of users. Although there are established risk factors for little known about reasons why adolescents take drugs. This study investigated given by a sample secondary school pupils using drugs other substances, specifically, how circumvent restric...

INTRODUCTION The use of multi-parametric (MP) MRI to diagnose prostate cancer has been the subject of intense research, with many studies showing positive results. The purpose of our study is to better understand the accessibility, role, and perceived accuracy of MP-MRI in practice by surveying practicing urologists. MATERIALS AND METHODS Surveys were sent to 7,400 practicing American Urologi...