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Short knowledge transfer partnerships in the East Midlands low carbon sector
The East Midlands Regional Development Agency (emda) has been working with Further Education Colleges in the East Midlands for over three years on a number of projects designed to expand FE’s provision of low carbon skills. As part of this set of initiatives a proposal was made to introduce Knowledge Transfer Partnerships (KTP) to the FE sector specifically targeted at low carbon sector projects. This report identifies the stages in the project, the processes and experiences of the project, identifies its successes and problems and makes recommendations regarding future technology/knowledge transfer strategies for FE Colleges
Shaping the future for primary care education and training project. Education and training provision to deliver integrated health & social care: course finder
Within the Shaping the Future for Primary Care Education and Training Project, the literature review concerning integrated health and social care identified a number of
implications or recommendations for service and education. For education, these recommendations may be categorised under a number of headings or themes: Team working,
Communication, Role Awareness, Practice Development and Leadership,Partnership Working.
It would follow that if agencies in the North West are to deliver truly integrated health and social care services, educational curricula across the region should cover these themes.
Prior to the Shaping the Future Project there was no simple way of looking across the entire region to gain insights into current education and training provision. One of the
core objectives of the Shaping the Future Project was to develop a webbased Course Finder tool and to map existing regional provision of education and training which can
support the delivery of integrated health and social care service
Neural Network based Electron Identification in the ZEUS Calorimeter
We present an electron identification algorithm based on a neural network
approach applied to the ZEUS uranium calorimeter. The study is motivated by the
need to select deep inelastic, neutral current, electron proton interactions
characterized by the presence of a scattered electron in the final state. The
performance of the algorithm is compared to an electron identification method
based on a classical probabilistic approach. By means of a principle component
analysis the improvement in the performance is traced back to the number of
variables used in the neural network approach.Comment: 20 pages, latex, 16 figures appended as uuencoded fil
Evaluation of the Children’s Commissioning Support Resource. Final report
It is clear that the CCSR has not fully realised its initial goals and there are a range of factors
preventing it from doing so. - The interlinked nature of the issues influencing its success means that it is difficult at this stage to set a specific path towards improved effectiveness. It is clear however, that the
first and major step required is to develop much clearer ownership, leadership and direction
Persistent starspot signals on M dwarfs: multi-wavelength Doppler observations with the Habitable-zone Planet Finder and Keck/HIRES
Young, rapidly-rotating M dwarfs exhibit prominent starspots, which create
quasiperiodic signals in their photometric and Doppler spectroscopic
measurements. The periodic Doppler signals can mimic radial velocity (RV)
changes expected from orbiting exoplanets. Exoplanets can be distinguished from
activity-induced false positives by the chromaticity and long-term incoherence
of starspot signals, but these qualities are poorly constrained for
fully-convective M stars. Coherent photometric starspot signals on M dwarfs may
persist for hundreds of rotations, and the wavelength dependence of starspot RV
signals may not be consistent between stars due to differences in their
magnetic fields and active regions. We obtained precise multi-wavelength RVs of
four rapidly-rotating M dwarfs (AD Leo, G 227-22, GJ 1245B, GJ 3959) using the
near-infrared (NIR) Habitable-zone Planet Finder, and the optical Keck/HIRES
spectrometer. Our RVs are complemented by photometry from Kepler, TESS, and the
Las Cumbres Observatory (LCO) network of telescopes. We found that all four
stars exhibit large spot-induced Doppler signals at their rotation periods, and
investigated the longevity and optical-to-NIR chromaticity for these signals.
The phase curves remain coherent much longer than is typical for Sunlike stars.
Their chromaticity varies, and one star (GJ 3959) exhibits optical and NIR RV
modulation consistent in both phase and amplitude. In general, though, we find
that the NIR amplitudes are lower than their optical counterparts. We conclude
that starspot modulation for rapidly-rotating M stars frequently remains
coherent for hundreds of stellar rotations, and gives rise to Doppler signals
that, due to this coherence, may be mistaken for exoplanets.Comment: Accepted for publication in the Astrophysical Journa
Tests of Perturbative QCD and Jet Physics
I describe the current status of tests of perturbative QCD, using
measurements of jet, photon, weak boson and heavy flavor production from the
Tevatron, LEP and HERA. Measurements of the strong coupling constant are
described, and I conclude with a "wish list" for the future.Comment: To appear in the Proceedings of the XIX International Symposium on
Lepton and Photon Interactions at High Energies (LP99), Stanford University,
August 1999 Replaced version corrects Ref [31] and adds an additional plot to
Fig.2
Cactus: Issues for Sustainable Simulation Software
The Cactus Framework is an open-source, modular, portable programming
environment for the collaborative development and deployment of scientific
applications using high-performance computing. Its roots reach back to 1996 at
the National Center for Supercomputer Applications and the Albert Einstein
Institute in Germany, where its development jumpstarted. Since then, the Cactus
framework has witnessed major changes in hardware infrastructure as well as its
own community. This paper describes its endurance through these past changes
and, drawing upon lessons from its past, also discusses futureComment: submitted to the Workshop on Sustainable Software for Science:
Practice and Experiences 201
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