We propose a method to improve the performance of the recently introduced rational dither modulation (RDM) watermarking scheme. The improvement is obtained by modifying the essentially scalar nature of RDM with the introduction of a vector quantiser. The vector quantiser is based on a properly modified version of classical trellis coded quantisation, thus leading to the new trellis-coded RDM sc...

A five-year experiment tested the response of aboveground net primary production (ANPP) and plant functional groups to manipulations in residual dry matter (RDM), reflecting typical grazing practices in Californian annual grasslands. The RDM treatments were 225, 560, 900 and 5000 kg ha with the latter treatment representing no grazing by livestock. ANPP in autumn, winter and spring showed a str...

Bandwidth Allocation Models (BAMs) configure and handle resource allocation (bandwidth, LSPs, fibre) in networks in general (IP/MPLS/DS-TE, optical domain, other). BAMs currently available for IP/MPLS/DS-TE networks (MAM, RDM, G-RDM and AllocTC-Sharing) basically define resource restrictions (bandwidth) by “class” (traffic class, application ś class, user ś class or other grouping criteria) and...

The management of research data is now a major challenge for research organisations. Vast quantities of born-digital data are being produced in a wide variety of forms at a rapid rate in universities. This paper analyses the contribution of academic libraries to research data management (RDM) in the wider institutional context. In particular it: examines the roles and relationships involved in ...

Prediction of unknown enzymatic reactions is useful for understanding biological processes such as reactions to external substances like endocrine disrupters. To create an accurate prediction, we need to define a similarity measure in the reaction. We have developed the KEGG RPAIR database which is a collection of chemical structure transformation patterns, called RDM patterns, for substrate-pr...

Purpose: To investigate the relationship between research data management (RDM) and data sharing in the formulation of RDM policies and development of practices in higher education institutions (HEIs). Design/methodology/approach: Two strands of work were undertaken sequentially: firstly, content analysis of 37 RDM policies from UK HEIs; secondly, two detailed case studies of institutions with ...

Objective: To support the assessment and improvement of research data management (RDM) practices to increase its reliability, this paper describes the development of a capability maturity model (CMM) for RDM. Improved RDM is now a critical need, but low awareness of – or lack of – data management is still common among research projects. Methods: A CMM includes four key elements: key practices, ...

The recoil distance method (RDM) for the measurements of lifetimes of excited nuclear levels in the range from about 1 ps to 1000 ps is reviewed. The New Yale Plunger Device for RDM experiments is introduced and the Differential Decay Curve Method for their analysis is reviewed. Results from recent RDM experiments on SD bands in the mass-190 region, shears bands in the neutron deficient lead is...

BACKGROUND Mebendazole (MBZ) is an extremely insoluble and therefore poorly absorbed drug and the variable clinical results may correlate with blood concentrations. The necessity of a prolonged high dose treatment of this drug increases the risk of adverse effects. METHODS In the present study we prepared redispersible microparticles (RDM) containing MBZ, an oral, poorly water-soluble drug, i...

The various RDM learning algorithms are developed by choosing different Λ(θ) for LIP models, including Projection, Recursive Dual Minimum, Recursive Dual Mean Minimum, λ-weighted Dual M<inimum, Instantaneous RDM and Batch RDM algorithms. An exmaple is shown the applications in adaptive identification and control fields.