Brazil soybean yield covariance model

A model based on multiple regression was developed to estimate soybean yields for the seven soybean-growing states of Brazil. The meteorological data of these seven states were pooled and the years 1975 to 1980 were used to model since there was no technological trend in the yields during these years. Predictor variables were derived from monthly total precipitation and monthly average temperature

Program computes equilibrium normal shock and stagnation point solutions for arbitrary gas mixtures

Program computes solutions for flow parameters in arbitrary gas mixtures behind a normal and a reflected normal shock, for in-flight and shock-tube stagnation conditions. Equilibrium flow calculations are made by a free-energy minimization technique coupled with the steady-flow conservation equations and a modified Newton-Raphson iterative scheme

Argentina soybean yield model

A model based on multiple regression was developed to estimate soybean yields for the country of Argentina. A meteorological data set was obtained for the country by averaging data for stations within the soybean growing area. Predictor variables for the model were derived from monthly total precipitation and monthly average temperature. A trend variable was included for the years 1969 to 1978 since an increasing trend in yields due to technology was observed between these years

Argentina wheat yield model

Five models based on multiple regression were developed to estimate wheat yields for the five wheat growing provinces of Argentina. Meteorological data sets were obtained for each province by averaging data for stations within each province. Predictor variables for the models were derived from monthly total precipitation, average monthly mean temperature, and average monthly maximum temperature. Buenos Aires was the only province for which a trend variable was included because of increasing trend in yield due to technology from 1950 to 1963

A perfect-gas analysis of the expansion tunnel, a modification to the expansion tube

Perfect gas analysis of expansion shock tunnel with nozzle to stabilize expansio

Brazil wheat yield covariance model

A model based on multiple regression was developed to estimate wheat yields for the wheat growing states of Rio Grande do Sul, Parana, and Santa Catarina in Brazil. The meteorological data of these three states were pooled and the years 1972 to 1979 were used to develop the model since there was no technological trend in the yields during these years. Predictor variables were derived from monthly total precipitation, average monthly mean temperature, and average monthly maximum temperature

Argentina corn yield model

A model based on multiple regression was developed to estimate corn yields for the country of Argentina. A meteorological data set was obtained for the country by averaging data for stations within the corn-growing area. Predictor variables for the model were derived from monthly total precipitation, average monthly mean temperature, and average monthly maximum temperature. A trend variable was included for the years 1965 to 1980 since an increasing trend in yields due to technology was observed between these years

Experiences of Living With the Nonmotor Symptoms of Parkinson's Disease: A Photovoice Study.

Nonmotor symptoms (NMSs) are frequently experienced by people with Parkinson's disease (PD) and are often perceived as their most bothersome symptoms. However, these remain poorly understood with suboptimal clinical management. These unmet needs are an important determinant of health-related quality of life (QoL) in PD. The aim of this study was to gain insights into the experience of living with the NMS of PD in real-time using participatory action methodology. Using the photovoice method, 14 people with PD took photographs to document their experiences of living with the NMS of PD. They composed corresponding written narratives to capture the impact of NMS on their daily activities and QoL. In total, 152 photographs and corresponding narratives were analysed using thematic analysis with an inductive approach. Four interrelated themes were identified. Emotional well-being and sense of self encompassed a process of adjustment to living with PD. Engaging in valued activities, adopting a positive mindset and utilising coping strategies were thought to enhance confidence and self-esteem. Social support and societal awareness highlighted the importance of supportive relationships and socialising to aid participation and avoid isolation. Barriers to social engagement included the unpredictability of NMS and nonvisible NMS being neglected or misunderstood. Findings demonstrated the far-reaching impact of nonmotor aspects of PD on emotional, occupational and social dimensions. These needs could be addressed through person-centred and comprehensive approaches to care. This study utilised a participatory research approach allowing participants to choose the subjects that mattered to them and how to present their results. Additionally, a group workshop was held with people with PD, their family members and healthcare professionals to guide theme development. [Abstract copyright: © 2024 The Author(s). Health Expectations published by John Wiley & Sons Ltd.

Salmonid Angling in the Gisborne District: application of the river values assessment system (RiVAS)

The River Values Assessment System (RiVAS) was applied by a River Expert Panel to ten resource and user attributes to assess 13 rivers in the Gisborne District for their salmonid angling value. The method was applied to differentiate rivers of national significance (n=4: Ruakituri River, Koranga River, Motu River, Opato Stream), regional significance (n=5: Waitahaia River, Waingakia Stream, Raukokore River, Takaputahi River, Hangaroa River) and local significance (n=2: Wharekopae River, Mangapoike River). The data available from the National Angling Survey were debated by the Expert Panel (low survey responses), so the Expert Panel relied on their own assessments for most attributes. The Panel undertook an independent assessment and three rivers on the cusp of significance thresholds were adjusted with reference to the Panel assessments.This work was mostly funded by the Ministry of Science and Information as part of the Envirolink grant 1012-GSDC92

Surface pressure measurement by oxygen quenching of luminescence

Methods and compositions for measuring the pressure of an oxygen-containing gas on an aerodynamic surface, by oxygen-quenching of luminescence of molecular sensors is disclosed. Objects are coated with luminescent films containing a first sensor and at least one of two additional sensors, each of the sensors having luminescences that have different dependencies on temperature and oxygen pressure. Methods and compositions are also provided for improving pressure measurements (qualitative or quantitive) on surfaces coated with a film having one or more types of sensor