215 research outputs found

    Family Assessment- Author Index

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    Author Index (12 pages) A-Z A Abbott, D.: 263 Abery, B.: 242 Abidin, R: 81, 265 Abramovitch, R: 134, 135, 136, 137, 139,142,143,144,145,146 Abril, s.: 118 Achenbach, T. M.: 12,47, 118, 223, 265 Acock, A. c.: 206 Adams, G. R: 205 Adams, S. J.: 226 Al-Khayyal, M.: 74 Alexander, J. F.: 75 Allisson, P. D.: 185 Alwin, D. F.: 182,191,194 Amato, P. R: 205- 231, 206, 207, 210, 213,215,216, 219, 221, 222, 224, 227,230 Ammerman, R : 263 Amoloza, T. 0 .: 170, 171,172,176, 179, 187, 188 Anastasi, A.: 265 Anderson, B. J.: 85 Anderson, c.: 117 Anderson, P. P.: 104 Anderson, S. A.: 79, 168, 177 Anthony, J.: 117 Apley, J.: 84 Aponte, H. J.: 117 Appelbaum, M.: 263 Arrington, A.: 11 Asher, S.: 82 Asterita, M. F. : 92 Attneave, c.: 121 Auslander, W. F: 85 Z Zane, N .: 107, 119 Zetlin, A.: 263 Zill, N.: 83 Zuo, J.: 171, 180, 18

    Family Assessment- Author Index

    No full text
    Author Index (12 pages) A-Z A Abbott, D.: 263 Abery, B.: 242 Abidin, R: 81, 265 Abramovitch, R: 134, 135, 136, 137, 139,142,143,144,145,146 Abril, s.: 118 Achenbach, T. M.: 12,47, 118, 223, 265 Acock, A. c.: 206 Adams, G. R: 205 Adams, S. J.: 226 Al-Khayyal, M.: 74 Alexander, J. F.: 75 Allisson, P. D.: 185 Alwin, D. F.: 182,191,194 Amato, P. R: 205- 231, 206, 207, 210, 213,215,216, 219, 221, 222, 224, 227,230 Ammerman, R : 263 Amoloza, T. 0 .: 170, 171,172,176, 179, 187, 188 Anastasi, A.: 265 Anderson, B. J.: 85 Anderson, c.: 117 Anderson, P. P.: 104 Anderson, S. A.: 79, 168, 177 Anthony, J.: 117 Apley, J.: 84 Aponte, H. J.: 117 Appelbaum, M.: 263 Arrington, A.: 11 Asher, S.: 82 Asterita, M. F. : 92 Attneave, c.: 121 Auslander, W. F: 85 Z Zane, N .: 107, 119 Zetlin, A.: 263 Zill, N.: 83 Zuo, J.: 171, 180, 18

    MANOVA modelling of a chiropractic longitudinal study using multiple imputation

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    The purpose of this report is to present the detailed statistical analysis of a randomised, placebo-controlled trial comparing two different treatment modalities to an intervention of no known benefit for people with acute or subacute thoracic spine pain. The therapy arms consist of Spinal Manipulative Therapy (SMT) and Graston Technique (GT) and the placebo is a non-functional ultrasound. A placebo group was utilised because at present there are no proven treatments for non-specific thoracic pain. This trial is registered with the Australia and New Zealand Clinical Trials Registry. Ethics approval has been granted by Murdoch University Human Research and Ethics Committee, number 2007/274. The aim of this three arm trial was to test the efficacy of SMT and GT as independent modalities compared to detuned ultrasound for the outcomes of pain and disability. The latter were measured using the Visual Analogue Scale (VAS) and a modified Oswestry Back Pain Disability Index. The study was conducted at the Murdoch University Chiropractic student clinic in Perth, Australia, and the protocol published in Crothers et al (2008). In this report, Section 2 provides an initial exploratory analysis of the data, Section 3 outlines the statistical models used in the final analysis, Section 4 defines these models in mathematical terms, Section 5 discusses the management of missing values via multiple imputation and Section 6 presents the results of the statistical modelling and hypothesis tests. The clinical study will be published in full elsewhere

    GROWTH AND DEVELOPMENT OF OPIUM POPPY (PAPAVER SOMNIFERUM L.) AS A FUNCTION OF TEMPERATURE

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    The U. S. State Dept. annually estimates yields of opium poppy (Papaver somniferum L.) and other narcotic crops around the world. When field sampling is possible, objective methods are used to estimate yields. However, field sampling is expensive and can be dangerous so other techniques are being sought. One method is to simulate crop performance using a computer model. To develop such a model, crop response to soil conditions, weather, and management practices must be understood. The first step in this process is to examine the influence of individual factors by growing the crop in controlled environments, keeping all factors except one at optimum levels, and varying that factor over a wide range. Temperature is a major weather variable. To study its effects on opium poppy, young seedlings were grown in controlled environment chambers in a 12h photoperiod at a light intensity of 1000±100μmol m^<-2> s^<-1> with day/night temperatures of 12/7℃, 16/11℃, 20/15℃, 24/19℃ and 28/23℃. Dry weights of plant parts and specific leaf area (SLA) were measured at various stages during plant development. The optimum mean temperature for poppy growth was between 16 and 20℃. Development rate was reduced at lower temperatures but remained relatively constant over the 20/15, 24/19, and 28/23℃ treatments. SLA was sensitive to temperature, maximizing at 19.5℃. Variation in SLA could explain some of the differences in relative growth rate and growth rate associated with temperature. Gum yield could be estimated from capsule dry weight or capsule volume using a linear regression model (r^2=0.71 and 0.75 respectively). Analyses of these data represent an important first step in quantifying the effects of temperature on poppy growth, development, and gum yield

    GROWTH AND DEVELOPMENT OF OPIUM POPPY (PAPAVER SOMNIFERUM L.) AS A FUNCTION OF TEMPERATURE

    No full text
    The U. S. State Dept. annually estimates yields of opium poppy (Papaver somniferum L.) and other narcotic crops around the world. When field sampling is possible, objective methods are used to estimate yields. However, field sampling is expensive and can be dangerous so other techniques are being sought. One method is to simulate crop performance using a computer model. To develop such a model, crop response to soil conditions, weather, and management practices must be understood. The first step in this process is to examine the influence of individual factors by growing the crop in controlled environments, keeping all factors except one at optimum levels, and varying that factor over a wide range. Temperature is a major weather variable. To study its effects on opium poppy, young seedlings were grown in controlled environment chambers in a 12h photoperiod at a light intensity of 1000±100μmol m^ s^ with day/night temperatures of 12/7℃, 16/11℃, 20/15℃, 24/19℃ and 28/23℃. Dry weights of plant parts and specific leaf area (SLA) were measured at various stages during plant development. The optimum mean temperature for poppy growth was between 16 and 20℃. Development rate was reduced at lower temperatures but remained relatively constant over the 20/15, 24/19, and 28/23℃ treatments. SLA was sensitive to temperature, maximizing at 19.5℃. Variation in SLA could explain some of the differences in relative growth rate and growth rate associated with temperature. Gum yield could be estimated from capsule dry weight or capsule volume using a linear regression model (r^2=0.71 and 0.75 respectively). Analyses of these data represent an important first step in quantifying the effects of temperature on poppy growth, development, and gum yield

    PHOTOPERIOD SENSITIVITY DURING SOYBEAN FLOWER DEVELOPMENT

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    Flowering in field-grown soybean [Glycine max (L.) Merr.] is difficult to pre-dict because the influences of photoperiod (P) and temperature are not well understood. The purpose of this research was to improve our understanding of how the photoperiod-sensitive and -insensitive phases of flower devel-opment are controlled by P. Controlled -environment studies were conducted in which \u27Johnston\u27 (maturity group VIII) soybean plants were switched from Ps between 12h and 14.75h to a P of 22h. All chambers were maintained at 25±1℃. The P experienced by plants before they were switched to 22h did not influence the length of the photoperiod-sensitive phase of flower development for P&le;13.5h. For P>13.5h, there was a linear increase in the number of days needed for P to cause flower induction (i. e. irreversible flower devel-opment) as P increased. The length of the photoperiod-insensitive phase also showed an increase when P during the photoperiod-sensitive phase was >13.5h. One of the reasons why it has been so difficult to predict flowering times in soybean is because the P experienced during the photoperiod-sensitive phase of flower development also affects the length of the photoperiod-insensitive phase

    PHOTOPERIOD SENSITIVITY DURING SOYBEAN FLOWER DEVELOPMENT

    No full text
    Flowering in field-grown soybean [Glycine max (L.) Merr.] is difficult to pre-dict because the influences of photoperiod (P) and temperature are not well understood. The purpose of this research was to improve our understanding of how the photoperiod-sensitive and -insensitive phases of flower devel-opment are controlled by P. Controlled -environment studies were conducted in which 'Johnston' (maturity group VIII) soybean plants were switched from Ps between 12h and 14.75h to a P of 22h. All chambers were maintained at 25±1℃. The P experienced by plants before they were switched to 22h did not influence the length of the photoperiod-sensitive phase of flower development for P&le;13.5h. For P>13.5h, there was a linear increase in the number of days needed for P to cause flower induction (i. e. irreversible flower devel-opment) as P increased. The length of the photoperiod-insensitive phase also showed an increase when P during the photoperiod-sensitive phase was >13.5h. One of the reasons why it has been so difficult to predict flowering times in soybean is because the P experienced during the photoperiod-sensitive phase of flower development also affects the length of the photoperiod-insensitive phase

    FLOWERING AND VEGETATIVE GROWTH IN OPIUM POPPY AS AFFECTED BY PHOTOPERIOD AND TEMPERATURE TREATMENTS

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    Estimating yields of illicit opium poppy requires knowledge of how climate and geography affect the crop. This experiment provided part of the database needed to predict flowering time and shoot biomass of poppy (Papaver somniferum L., 'album DC') for any geographical location. Plants were grown in chambers under a 12, 13, 14, or 24-h photoperiod and a 12-h thermoperiod of 25/20℃. Plants at 10 or 20 days after emergence (DAE) were transferred to separate chambers and treated for 48h with either (a) 10℃ and a 12-h photoperiod or (b) continuous light and a 12-h thermoperiod of 25/20℃. The 48-h interruption of each photoperiod treatment with continuous light decreased days to flower (DTF) for photoperiods<24h for both seedling ages, the effect being more pronounced at 10 DAE and for the 12-h photoperiod. The 48-h 10℃ interruption had no effect on DTF. The poppy flower was an increasingly larger proportion of the shoot biomass (from 6 to 15%) as photoperiod increased from 12 to 24h. DTF, plant height and shoot dry weight showed the same pattern of response to photoperiod, having minimum values in the 24-h photoperiod treatment and increasing in values with photoperiods&le;14h. Critical photoperiod, P_c, was calculated as 14.8h, by plotting DTF against photoperiod as two straight lines and determining their point of intersection. A similar approach using the reciprocal of DTF gave a P_c of 16h. Shoot dry weights from all treatments were found to be an exponential function of DTF. Results indicate that plant biomass at flowering can be estimated simply by knowing how photoperiod and temperature affect DTF. This result presupposes that the number of photosynthetically active days between plant emergence and flowering is the primary determinant of biomass. If environmental conditions irretrievably limit photosynthetic activity during this period, biomass would be overestimated
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