Food and Mood: Exploring the determinants of food choices and the effects of food consumption on mood among women in Inner London.

Introduction: The aim of this study was to explore the relationship between food and mood against the backdrop of increased mental health and nutrition cognizance within public health and scientific discourses. Mood was defined as encompassing positive or negative affect. Methodology: A constructionist qualitative approach underpinned this study. Convenience sampling in two faith-based settings was utilised for recruiting participants, who were aged 19-80 (median,48) years. In total 22 Christian women were included in the research, eighteen were in focus groups and four were in individual semi structured interviews. All were church-attending women in inner London. A thematic analysis was carried out, resulting in four central themes relating to food choice and food-induced mood states. Findings: Women identified a number of internal and external factors as influencing their food choices and the effect of food intake on their moods. Food choice was influenced by mood; mood was influenced by food choice. Low mood was associated with unhealthy food consumption, apparent addiction to certain foods and overeating. Improved mood was associated with more healthy eating and eating in social and familial settings. Discussion: Findings indicate food and mood are interconnected through a complex web of factors, as women respond to individual, environmental, cultural and social cues. Targeting socio-cultural and environmental influences and developing supportive public health services, via faith-based or community-based institutions could help to support more women in their struggle to manage the food and mood continuum. Successful implementation of health policies that recognise the psychological and social determinants of food choice and the effect of food consumption on mood, is essential, as is as more research into life-cycle causal factors linking food choice to moo

Investigation of seismicity and related effects at NASA Ames-Dryden Flight Research Facility, Computer Center, Edwards, California

This report discusses a geological and seismological investigation of the NASA Ames-Dryden Flight Research Facility site at Edwards, California. Results are presented as seismic design criteria, with design values of the pertinent ground motion parameters, probability of recurrence, and recommended analogous time-history accelerograms with their corresponding spectra. The recommendations apply specifically to the Dryden site and should not be extrapolated to other sites with varying foundation and geologic conditions or different seismic environments

Time Series Forecasting: The Case for the Single Source of Error State Space

The state space approach to modelling univariate time series is now widely used both in theory and in applications. However, the very richness of the framework means that quite different model formulations are possible, even when they purport to describe the same phenomena. In this paper, we examine the single source of error [SSOE] scheme, which has perfectly correlated error components. We then proceed to compare SSOE to the more common version of the state space models, for which all the error terms are independent; we refer to this as the multiple source of error [MSOE] scheme. As expected, there are many similarities between the MSOE and SSOE schemes, but also some important differences. Both have ARIMA models as their reduced forms, although the mapping is more transparent for SSOE. Further, SSOE does not require a canonical form to complete its specification. An appealing feature of SSOE is that the estimates of the state variables converge in probability to their true values, thereby leading to a formal inferential structure for the ad-hoc exponential smoothing methods for forecasting. The parameter space for SSOE models may be specified to match that of the corresponding ARIMA scheme, or it may be restricted to meaningful sub-spaces, as for MSOE but with somewhat different outcomes. The SSOE formulation enables straightforward extensions to certain classes of non-linear models, including a linear trend with multiplicative seasonals version that underlies the Holt-Winters forecasting method. Conditionally heteroscedastic models may be developed in a similar manner. Finally we note that smoothing and decomposition, two crucial practical issues, may be performed within the SSOE framework.ARIMA, Dynamic Linear Models, Equivalence, Exponential Smoothing, Forecasting, GARCH, Holt's Method, Holt-Winters Method, Kalman Filter, Prediction Intervals.

Evaluation of liquid methane storage and transfer problems in supersonic aircraft

Evaluation of liquid methane storage and transfer problems for future supersonic aircraft cryogenic fuel requirement

Tests to experimentally determine the natural frequencies of the saturn s-ic test stand, phase i

Natural frequencies of Saturn test stand during horizontal vibrations at several force level

Integrated washland management for flood defence and biodiversity

A combination of reform of agricultural policy, changing priorities in the countryside, growing commitment to protect and enhance biodiversity, and concerns about increased flood risk in lowlands have drawn attention to the potential contribution that managed washlands can make to deliver benefits to biodiversity and flood management. In this context, and with funding from Defra and English Nature, the study reported here1 set out to determine the scope for simultaneously achieving flood management and biodiversity objectives, and how this might be achieved in practice. The broad purpose is to inform policy on washland creation and management, including mechanisms for implementation if deemed appropriate