Communities and Local Government and Work and Pensions Committees. Oral evidence: Future of Supported Housing, 27th February, 2017. Transcript of evidence session.

Evidence given on 27th February, 2017 by Dr Jonathan Hobson to Commons Joint Select Committee inquiry on the Future of Supported Housing. Evidence based on work by Dr Jon Hobson, Dr Kenny Lynch, Pauline Dooley

Speech Communication

Contains reports on two research projects.United States Air Force, Electronic Systems Division (Contract AF19(628)-3325)National Science Foundation (Grant G-16526)National Institutes of Health (Grant MH-04737-03 and Grant NB-04332-01)National Aeronautics and Space Administration (Grant NsG-496

Speech Communication

Contains research objectives and reports on two research objectives.U.S. Air Force (Air Force Cambridge Research Center, Air Research and Development Command) under Contract AF19(604)-6102National Science Foundatio

Chapter XV: Success Factors for the Global Implementation of ERP / HRMS Software

This research observes a global implementation of enterprise resource planning (ERP)/human resources management system (HRMS) software at an international company. The software was implemented in 16 countries. Variables such as cultural differences, communication-distance, management support, trust, and resistance to change were evaluated in the literature review. These variables have an impact on implementation success during global HRMS implementation. Further analyses on specific success factors faced with global implementations were evaluated using semi-structured interviews. The authors prepared a questionnaire to further explore the data. Respondents rated questions related to management support the highest overall. An interesting find was that the semi-structured interview results indicated that the software chosen was not a perfect fit for the global community. The mean for questions related to global HRMS success was higher for respondents located in the United States than those located in other locations

Modeling deficit irrigation in alfalfa production

A conceptual agronomic model EPIC was extended to consider the effects of salinity in alfalfa production under optimal and water stress irrigation conditions. The extended model was calibrated and validated with observed lysimeter data. The model parameters that affected alfalfa yield and soil salinity the most were wilting point, field capacity, hydraulic conductivity, nitrate concentration, biomass energy ratio, seeding rate, average soil salinity EC e at which crop yield is reduced by 50% ( EC50 ), and initial soil gypsum concentration. The calibrated and validated model was then applied to an alfalfa deficit irrigation study. The four irrigation treatments included optimum check, minimum stress, short stress, and long stress, each of which produced differential alfalfa yields. The purpose of summer deficit irrigation was to ascertain how much agricultural water at what cost could be made available for urban water uses during water shortfalls. The results of model simulation were found to be satisfactory under all irrigation treatments though the model slightly overestimated the yields and underestimated the soil EC e at the end of short and long stress treatments. An economic component is included to determine the appropriate compensation for farmers undergoing a range of deficit irrigations

Speech Communication

Contains research objectives and reports on two research projects.U.S. Air Force (Electronic Systems Division) under Contract AF19(604)-6102National Science Foundation (Grant G-10800)National Science Foundation (Grant G-7364)National Science Foundation (Grant G-16526)National Institutes of Health (Grant MP-4737

Speech Communication

Contains reports on three research projects.U.S. Air Force, Electronic Systems Division (Contract AF19(604)-6102)National Science Foundation (Grant G-10800)National Science Foundation (Grant G-16526)National Institutes of Health(Grant MH-04737-02

Speech Communication

Contains reports on six research projects.U. S. Air Force Command and Control Development Division under Contract AF19(604)-6102National Science Foundatio