The Goal-Based Outcome (GBO) Tool: Guidance Notes

“Setting goals makes you see where you need to go,makes you see what you are working on andwhatstill needsto be worked on.” Young perso

Long-term variations in fish assemblage, macrophyte community, and water quality in Lake Rotoroa (Hamilton Lake)

Lake Rotoroa (37º48’S, 175º16’E) is a small, shallow, polymictic lake located on the western side of Hamilton City. The lake covers an area of 0.54 km2 with a mean depth of 2.4 m, catchment and riparian margins have been significantly modified into a suburban park-like setting. Due to its urban location and recreational value, exotic flora and fauna have been intentionally and unintentionally introduced. This has resulted in fluctuations in water quality and changes in phytoplankton, fish, and macrophyte assemblages over the past 60 years. The overall aim of this thesis is to summarise the fluctuations in water quality and macrophyte community of Lake Rotoroa associated with introduction of exotic species, and to develop a general understanding of the ecosystem response. This study involved collating and analysing available information on fish assemblages, macrophyte community, and water quality in Lake Rotoroa. Data from nine fish surveys undertaken between 1976 and 2012 has been combined. Water quality and macrophyte data was supplied by NIWA, who have undertaken monitoring for Hamilton City Council as part of the national lakes monitoring programme. Fishing methods have varied from gill, trap, and fyke netting between 1976 and 2001, with boat electrofishing surveys between 2003 and 2012. Lake Rotoroa has a relatively diverse freshwater fish fauna, comprising two native and six exotic fish species. The fish assemblage is now dominated by the native shortfin eel (Anguilla australis), European perch (Perca fluviatilis), brown bullhead catfish (Ameiurus nebulosus), and tench (Tinca tinca), with low densities of rudd (Scardinius erythrophthalmus) and goldfish (Carassius auratus). Fish density and biomass have varied throughout the survey period, to some extent related to the environmental conditions and macrophyte cover. Macrophyte coverage and water quality have undergone considerable changes in the last 30 years, with the collapses of macrophytes stimulating decreases in water quality and increased perch abundance. In 1990, the macrophyte community collapsed with an associated release of nutrients into the water column, causing the lake to become supertrophic. Between 1992 and 2010, water quality improved, with a decrease phosphorus concentrations that apparently limited phytoplankton biomass and improved water clarity. This allowed macrophytes to recolonise the lake to 30% lake bed coverage in 2005 and a consequent improvement from supertrophic to a eutrophic state. Since 2009, the macrophyte community has undergone another collapse, with only a few clumps of native charophytes and Egeria densa present in 2011. The reduction of macrophytes has been accompanied by a decrease in water clarity. The collapse has been attributed to disturbance by grazing from the herbivorous rudd and foraging benthic feeding fish, although other stresses such as decreased water clarity and microcystins may also have had an influence. Further research is needed on the selectivity between passive and active fish capture methods used to allow accurate comparisons between the two methods. This will allow for density and biomass estimates to be made for the passive fishing methods previously used and allow greater insight into changes in abundance of fish populations in Lake Rotoroa

The Linear-Size Evolution of Classical Double Radio Sources

Recent investigations of how the median size of extragalactic radio sources change with redshift have produced inconsistent results. Eales compared the radio and optical properties of a bright 3C and faint 6C sample and concluded that $D\propto(1+z)^{-1.1\pm0.5}$ ($\Omega_0 = 0$), with $D$ being the median size of the radio sources at a given epoch and z the redshift. Oort, Katgert, and Windhorst, on the other hand, from a comparison of the properties of a number of radio samples, found much stronger evolution, with $D\propto(1+z)^{-3.3 \pm0.5}$. In this paper we attempt to resolve the difference. We have repeated the analysis of Eales using the virtually complete redshift information that now exists for the 6C sample. Confining our analysis to FR2 sources, which we argue is the best-understood class of radio sources and the least likely to be affected by selection effects, we find $D\propto(1+z)^{-1.2\pm0.5}$ ($\Omega_0 = 0$) and $D\propto(1+z)^{-1.7\pm0.4}$ ($\Omega_0 = 1$). Our complete redshift information allows us to gain insight into our result by plotting a radio luminosity-size (P-D) diagram for the 6C sample. The most obvious difference between the 3C and 6C P-D diagrams is the clump of sources in the 6C diagram at $D\sim 100 kpc, P_{151}\sim 5x10^{27} WHz^{-1}sr^{-1}$. These clump sources have similar sizes to the emission-line regions found around high-redshift radio galaxies, suggesting that the presence of dense line-emitting gas around high-redshift radio galaxies is responsible for the size evolution. We show that this explanation can quantitatively explain the observed size evolution, as long as there is either little X-ray emitting gas around these objects or, if there is, it is distributed in a similar way to the emission-line gas: highly anisotropic and inhomogeneous.Comment: compressed and uuencoded postscript file. 33 pages including 5 figures (441951 bytes). Accepted for publication in September Ap

Carlisle Memorial Volume

Table of Contents: The Carlisle Family Life Sketch of Dr. Carlisle - by Dr. Charles Forster Smith Dr. Carlisle as a Citizen - by Watson B. Duncan The Wofford Chapel Hour - by Dr. Henry Nelson Snyder Wofford College and its President Twenty Years Ago - by Dr. Robert A. Law Dr. Carlisle as a Teacher - by Dr. David Duncan Wallace Tributes to Dr. Carlislehttps://digitalcommons.wofford.edu/collegebooks/1005/thumbnail.jp

A first sample of faint radio sources with virtually complete redshifts: I. Infrared images, the Hubble diagram, and the alignment effect

We have obtained redshifts and infrared images for a sample of faint B2/6C radio sources whose fluxes are about six times fainter than those of sources in the bright 3C sample. We now have unambiguous redshifts for 90% of the sources, making this the first faint radio sample with such complete redshift information. We find that the infrared Hubble diagrams (K versus z) of the 3C sample and the B2/6C sample are similar at a low redshift (z < 0.6), but by a redshift about 1 the 6C/B2 galaxies are on average about 0.6 mags fainter in the K-band than 3C galaxies at the same redshift. This suggests that the bright K-magnitudes of 3C galaxies at a redshift of about 1 are not the result of stellar evolution, but of a correlation between infrared and radio luminosity. We also find that the infrared stuctures of B2/6C galaxies at z=1 are less clearly aligned with their radio structures than 3C galaxies at this redshift, implying that the strength of the alignment effect depends on radio luminosity. Finally, above a redshift of 2 we find that the dispersion in the K-z relation of the B2/6C sample is about 2.7 times greater than that at low redshift, a result which is expected if at these redshifts we are beginning to penetrate into the epoch in which radio galaxies formed.Comment: 26 pages (TEX), 39 postscript figures (six of the larger figures can be obtained from ftp://ftp.astro.cf.ac.uk/pub/sae), 5 latex tables, to appear in MNRA

Goal-based measurement in paediatric settings: implications for practice

There is an observed link between physical illness and mental health difficulties and an increased likelihood of mental health difficulties in young people with chronic health conditions. The main outcome focus in paediatric settings is on physical health outcomes and functioning. In terms of functioning, the focus is on quality of life, measures of emotional well-being and perceptions of personal change, which are likely to be multifaceted and vary between patients. To complement standardised and diagnostically based measures, goal-based outcome measurement may be considered. The aim of this paper is to build on previous research, to provide a reflective commentary based on the authors’ clinical and research experience in the use and interpretation of goal-based outcomes, to address what using goal-based measures for outcome purposes in these settings means practically. Examples are provided to demonstrate the importance of considering meaningful outcomes of importance to young people and how professionals may presume that physical ‘recovery’ is the goal of treatment, but what recovery means to that young person may be very nuanced. Further key considerations and suggested phrasing are given to introduce and work with young people’s goals