The development of iHARP: a multiple instruction issue processor chip

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.---- Copyright IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.During the last decade RISC ideas on processor architecture have become widely accepted. RISC architectures achieve significant performance advantages over CISC architectures by striving to execute one instruction per cycle. However, a traditional RISC architemre can never execute more than one instruction per cycle. Achieving further performance improvements beyond RISC depends on developing processors which fetch and execute more than one operation in each processor cycle.Final Accepted Versio

Well communities

Well Communities provides a framework for communities and local organisations (public, private and third sector) to work together to improve health and wellbeing, build resilience and reduce inequalities. Key concepts in engaging communities for social change and health improvement are integral to the Well Communities approach. These include whole systems, holistic and assets-based working, community engagement and community led action, community development and capacity building, co-production, positive psychology and empowerment. Through work over nine years with 33 of the most disadvantaged neighbourhoods in London, these concepts have been translated into a practical framework for actio

Occupational pay comparisons: Easier said than done?

Purpose - The article aims to analyse the challenges in undertaking occupational pay comparisons and why this matters for evidence-based reward management, union bargaining strategies and perceptions of pay equity. Design/methodology/approach - The paper draws on the extant literature on pay and undertakes detailed quantitative analysis of teachers pay in Scotland relative to teachers elsewhere in the UK, graduates and other professional occupations in the private and public sectors. Findings - The key finding of this article is that alternative ways of analysing pay comparability produce significantly different outcomes – occupational pay comparisons require the identification of an appropriate comparator and appropriate measures of pay and hours, yet this is not straightforward. Different approaches to comparability may lead to key stakeholders holding widely differing views about pay equity, with employment relations implications. Research limitations/implications - Quantitative analyses of pay using large scale survey data are crucial to understanding relative occupational pay. However, quantitative analyses cannot provide in-depth and nuanced understanding of the nature of particular occupations. Moreover, the paper focuses at the occupational level and does not assess individual employee characteristics that may influence pay. Practical implications - These findings should inform employers (especially HR managers), employees and unions on pay policy, pay settlements and bargaining strategies. Originality/value - There is relatively little contemporary literature on the importance of, and challenges in undertaking, occupational pay comparisons

Shuttle derived atmospheric density model. Part 2: STS atmospheric implications for AOTV trajectory analysis, a proposed GRAM perturbation density model

A perturbation model to the Marshall Space Flight Center (MSFC) Global Reference Atmosphere Model (GRAM) was developed for use in the Aeroassist Orbital Transfer Vehicle (AOTV) trajectory and analysis. The model reflects NASA Space Shuttle experience over the first twelve entry flights. The GRAM was selected over the Air Force 1978 Reference Model because of its more general formulation and wider use throughout NASA. The add-on model, a simple scaling with altitude to reflect density structure encountered by the Shuttle Orbiter was selected principally to simplify implementation. Perturbations, by season, can be utilized to minimize the number of required simulations, however, exact Shuttle flight history can be exercised using the same model if desired. Such a perturbation model, though not meteorologically motivated, enables inclusion of High Resolution Accelerometer Package (HiRAP) results in the thermosphere. Provision is made to incorporate differing perturbations during the AOTV entry and exit phases of the aero-asist maneuver to account for trajectory displacement (geographic) along the ground track

Shuttle derived atmospheric density model. Part 1: Comparisons of the various ambient atmospheric source data with derived parameters from the first twelve STS entry flights, a data package for AOTV atmospheric development

The ambient atmospheric parameter comparisons versus derived values from the first twelve Space Shuttle Orbiter entry flights are presented. Available flights, flight data products, and data sources utilized are reviewed. Comparisons are presented based on remote meteorological measurements as well as two comprehensive models which incorporate latitudinal and seasonal effects. These are the Air Force 1978 Reference Atmosphere and the Marshall Space Flight Center Global Reference Model (GRAM). Atmospheric structure sensible in the Shuttle flight data is shown and discussed. A model for consideration in Aero-assisted Orbital Transfer Vehicle (AOTV) trajectory analysis, proposed to modify the GRAM data to emulate Shuttle experiments

Impact of birth weight and gender on early postnatal hypothalamic energy balance regulatory gene expression in the young lamb

Peer reviewedPreprin

PyPhi: A toolbox for integrated information theory

Integrated information theory provides a mathematical framework to fully characterize the cause-effect structure of a physical system. Here, we introduce PyPhi, a Python software package that implements this framework for causal analysis and unfolds the full cause-effect structure of discrete dynamical systems of binary elements. The software allows users to easily study these structures, serves as an up-to-date reference implementation of the formalisms of integrated information theory, and has been applied in research on complexity, emergence, and certain biological questions. We first provide an overview of the main algorithm and demonstrate PyPhi's functionality in the course of analyzing an example system, and then describe details of the algorithm's design and implementation. PyPhi can be installed with Python's package manager via the command 'pip install pyphi' on Linux and macOS systems equipped with Python 3.4 or higher. PyPhi is open-source and licensed under the GPLv3; the source code is hosted on GitHub at https://github.com/wmayner/pyphi . Comprehensive and continually-updated documentation is available at https://pyphi.readthedocs.io/ . The pyphi-users mailing list can be joined at https://groups.google.com/forum/#!forum/pyphi-users . A web-based graphical interface to the software is available at http://integratedinformationtheory.org/calculate.html .Comment: 22 pages, 4 figures, 6 pages of appendices. Supporting information "S1 Calculating Phi" can be found in the ancillary file