3,481 research outputs found

    An Analysis of Climate Resilience Planning in Atlanta, Georgia

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    This research focused on identifying the spatial distribution of two potential climate hazards in the City of Atlanta, Georgia. Extreme heat (1) is one of Atlantaā€™s most significant threats, and flooding (2) continues to plague its communities. Potential socioeconomic predictors of extreme heat (poverty, percent of black residents) proved not to have strong relationships with high land surface temperature (LST) at the census tract level. Urban flooding was found to be at its highest risk in southern areas of the city. A content analysis of city governance was performed to see how much of the previously identified hazards are addressed in Atlanta city planning. Analysis showed that flooding is the most planned for, followed by drought, and then heat. Despite heat posing the largest threat, there were minimal climate resilience strategies to explicitly address it. These results can inform improved climate planning and policy within the city of Atlanta

    Elm Farm Research Centre Bulletin 79 July 2005

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    Regular newletter from Elm Farm Research Centre (EFRC)covering research, technical and policy articles, views and comment

    Models for Quality Improvement in CAHs: The Role of State Flex Programs (Briefing Paper #25)

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    A central goal of the Flex Program, as defined in the original and reauthorizing legislation, is to help Critical Access Hospitals (CAHs) develop and sustain effective quality improvement (QI) programs. This study examined the range of multi-CAH QI and performance measurement reporting initiatives supported by the Flex Program in nine states, assessed the role of State Flex Programs in developing and supporting these initiatives, and explored their impact on the QI programs of CAHs. Key Findings: State Flex Program funding was frequently the primary, if not sole, source of funding to support these efforts. Collaboration and shared learning are common Flex Program strategies underlying state QI initiatives. Quality measurement and reporting is a challenge due to a lack of agreement on common measures across state QI and benchmarking systems and a common belief that Hospital Compare measures are not ā€œrurally relevantā€ (i.e., specific to the needs of CAHs). Administrative, clinical, and board leadership and buy-in were consistently identified as crucial to the success and sustainability of CAH-level QI initiatives. States reported that the scope of their QI has to be scaled to the available resources and capacity of CAHs to avoid QI fatigue among CAH staff. There is limited hard evidence on the impact of the QI initiatives adopted by State Flex Programs; much of the ā€œevidenceā€ supporting these initiatives is anecdotal or based on postconference or webinar evaluations

    The Role of State Flex Programs in Supporting Quality Improvement in CAHs (Policy Brief #16)

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    This study examined QI activities supported by the Flex Program in nine states, assessed the role of the State Flex Programs in developing and supporting QI activities, and explored the effect of these initiatives on CAH QI efforts. Key Findings: The Flex Program has been instrumental in funding and providing leadership for the development of CAH quality improvement initiatives. Collaborative shared learning strategies have been central to the success of Flex Program QI programs. Scaling QI program activities to the capacity and resources of CAHs is critical to success. Administrative, clinical, and board leadership and buy-in are also critical to the success of CAH QI initiatives. Despite widespread support for these QI initiatives, there is limited hard evidence on their impact. Overlap between the quality measures in Hospital Compare and those used by state and multi-state QI reporting and benchmarking programs offers the opportunity for developing a common set of ā€œrural relevantā€ hospital quality measures

    Affective and Motivational Responses to 3D Body Imaging

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    Common body weight and composition testing has been shown to impact emotional, motivational, and behavioral responses. Three-dimensional body imaging is a relatively new technology to be utilized in medical and fitness settings to provide detailed body image feedback to the patient or client, while encouraging motivation to control body weight, fat, and shape. However, such responses to 3D body imaging have not been examined. To examine the acute affective and motivational responses to 3D body imaging (Fit3D) in a sample of college-aged women (N = 32), classified as either normal weight (NW; n = 13) or overweight/obese (OWOB; n = 19). Positive and negative affect were assessed with the Positive (PA) and Negative Affect (NA) Schedule (PANAS; range: 1-5), and one item assessed motivation to lose weight (range: 1-10). These variables were assessed immediately before and after a single 3D body imaging session. Participants had 1-minute to examine their 3D body scan, and then continued to examine their scan during all post-measures. Overall, PA did not change pre- to post-scan (3.11 Ā± .98 to 3.18 Ā± 1.07, p \u3e .05), nor did NA (1.52 Ā± .58 to 1.63 Ā± .89, p \u3e .05). In addition, there was not a time by BMI (NW versus OWOB) interaction for both PA and NA. Overall, motivation to lose weight slightly increased (6.41 Ā± 2.78 to 7.09 Ā± 2.75, p = .001). There was not an interaction of time by BMI, with both groups increasing over time. However, there was a between-subjects effect with OWOB holding higher pre-motivation to lose weight than NW participants (7.63 versus 4.62, respectively; p \u3c .01). Within the present sample of college-aged women, a 3D body image scanning session did not appear impact PA or NA responses, but did produce a slight increase in motivation to lose body weight in participants classified as NW or OWOB. This research provides foundational insight to future research and the use of this novel technology for health behavior change in fitness and clinical settings

    Ecological IVIS design : using EID to develop a novel in-vehicle information system

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    New in-vehicle information systems (IVIS) are emerging which purport to encourage more environment friendly or ā€˜greenā€™ driving. Meanwhile, wider concerns about road safety and in-car distractions remain. The ā€˜Foot-LITEā€™ project is an effort to balance these issues, aimed at achieving safer and greener driving through real-time driving information, presented via an in-vehicle interface which facilitates the desired behaviours while avoiding negative consequences. One way of achieving this is to use ecological interface design (EID) techniques. This article presents part of the formative human-centred design process for developing the in-car display through a series of rapid prototyping studies comparing EID against conventional interface design principles. We focus primarily on the visual display, although some development of an ecological auditory display is also presented. The results of feedback from potential users as well as subject matter experts are discussed with respect to implications for future interface design in this field

    A four gene signature of chromosome instability (CIN4) predicts for benefit from taxanes in the NCIC-CTG MA21 clinical trial.

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    Recent evidence demonstrated CIN4 as a predictive marker of anthracycline benefit in early breast cancer. An analysis of the NCIC CTG MA.21 clinical trial was performed to test the role of existing CIN gene expression signatures as prognostic and predictive markers in the context of taxane based chemotherapy.RNA was extracted from patients in cyclophosphamide, epirubicin and flurouracil (CEF) and epirubicin, cyclophosphamide and paclitaxel (EC/T) arms of the NCIC CTG MA.21 trial and analysed using NanoString technology.After multivariate analysis both high CIN25 and CIN70 score was significantly associated with an increased in RFS (HR 1.76, 95%CI 1.07-2.86, p=0.0018 and HR 1.59, 95%CI 1.12-2.25, p=0.0096 respectively). Patients whose tumours had low CIN4 gene expression scores were associated with an increase in RFS (HR: 0.64, 95% CI 0.39-1.03, p=0.06) when treated with EC/T compared to patients treated with CEF.In conclusion we have demonstrated CIN25 and CIN70 as prognostic markers in breast cancer and that CIN4 is a potential predictive maker of benefit from taxane treatment

    Effects of a 3D Body Imaging Trigger on Self-Perceived Attractiveness, Self-conscious Emotions and Coping

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    Novel technologies currently being utilized in fitness and clinical settings, such as 3D body scans, are proposed to act as a trigger or spark for weight control behavior. However, other weight-related triggers in women have been shown to produce variation in emotional and weight control responses, and there is limited research on their impact. The purpose of the study was to examine the acute effect of 3D body imaging system (Fit3D) on self-conscious emotions (guilt, shame, pride) and body weight-related coping in a sample of college-aged women (N = 30) classified as normal weight (NW, n = 12) or overweight/obese (OWOB, n = 18). To this end, the Body and Appearance-related Self-conscious Emotions Scale (BASES; range: 1-5) and the WEIGHTCOPE (range: 1-7) were used to assess self-conscious emotions and intention to utilize 10 different weight-related coping strategies following a single 3D body scanning session. Body fat percentage (BF%) was assessed via Dual-energy x-ray absorptiometry (DXA). Following the 3D scan, participants experienced low to moderate feelings of guilt (3.18 Ā± .99), shame (2.67 Ā± 1.05), authentic pride (2.68 Ā± .96), and hubristic pride (2.49 Ā± .87). Significant differences (p \u3c .05) were found between participants classified as NW or OWOB, respectively, in shame (2.11 Ā± .76 vs. 3.05 Ā± 1.07), guilt (2.82 Ā± .85 vs. 3.43 Ā± 1.02), and authentic pride (3.10 Ā± .78 vs. 2.39 Ā± .98). Increasing physical activity and self-regulation, eating healthier, and positively reframing the situation were the highest rated coping responses (M = 5.23 to 6.25). Differences were found between BMI groups for intention to cope by suppressing appetite (NW = 2.68 Ā± 1.05, OWOB = 3.56 Ā± 1.02; t = 2.24, p \u3c .05), supplement use (NW = 1.14 Ā± .22, OWOB = 1.85 Ā± 1.28; t = 2.30, p \u3c .05), and a trend for camouflaging body (NW = 2.70 Ā± .51, OWOB = 3.14 Ā± .99, t = 1.57, p = .06). Feelings of shame were correlated with intention to camouflage body (r = .46, p = .01), while authentic pride trended toward a negative correlation with suppressing appetite (r = -.31), camouflaging (r = -.35), and supplement use (-.34). In conclusion, an acute 3D body image scan session was shown to produce variation in self-conscious emotions (shame, guilt, and pride) and coping choices between NW and OWOB participants. These individual differences should be taken into consideration to better accommodate healthy behavior change following 3D imaging use

    Evaluation of reproductive strategies in captive California yellowtail (Seriola dorsalis) using genetic parentage analyses

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    A good understanding of spawning dynamics of species in aquaculture is vital in order to maximize egg production and quality as well as efficient allocation of food and space resources. The breeding program of California yellowtail (CYT; Seriola dorsalis previously Seriola lalandi) at Hubbs-SeaWorld Research Institute (HSWRI) is set up such that up to 30 wild caught brood fish can broadcast spawn in a group setting, just as CYT reproduce in the wild. The population of brood fish were originally caught offshore from Southern California, and are maintained under ambient sea water and natural lighting conditions. The spawning season at HSWRI lasted from March to September during the 2013 and 2014 study period. Reproductive output from this population of cultured CYT was evaluated through microsatellite-based parentage analyses whereby the percent contribution of offspring was determined across all spawning events over two years. Methods were first tested to determine the minimum sample size required to accurately describe the parental contributions in this specific group spawning environment. To do this, five spawns were selected from the 2013 season based on spawn volume, which was presumed to represent a high number of female parents thus representing the most complex spawning dynamic. For these five spawning events, there were 19 brood fish present, representing all possible parents. Actual assignment of samples sizes between 47 and over 300 was assessed for each spawn. Except in one instance, the parental contribution from sample size of 47 CYT offspring analyzed per spawn, was not statistically significantly different than a sample size of over 300 offspring per spawn (average P-value = 0.65). Simulated subsampling via computational bootstrapping, and subsequent statistical analysis, indicated that a sample size of 30 offspring per spawn was adequate to accurately describe the parental contributions. Based on this information, a samples size of 47 was used so that samples from two spawns could be run on a single 96 well plate, including one negative control sample per spawn. This constitutes one of the first studies of sample size quality control for genetic parentage contribution for an aquaculture species. Offspring were then analyzed from every spawning event (N = 130) over two spawning seasons to characterize spawning events of CYT. Analyzing all spawns during multiple spawning seasons allowed for determination of individual contribution levels, spawn pairings, and analysis of female fecundity. The breeding population consisted of 19 brood fish in 2013, and 37 in 2014; both years were roughly 50: 50 male ā€“ female. Brood fish added to the population in 2014 were smaller in terms of mass and total lengths. Spawning events tended to have one female contribute (primary female), with relatively equal paternal contribution during both the spawning events and season, for a possible lottery polygyny (Nunney, 1993) spawning system. One female in particular contributed 40% of all offspring during the two years, spawning nearly every 5-6 days during the spawning seasons. The larger females (~21 kg) had an average batch fecundity of ~490,000 eggs per spawn, while smaller females (~8.4 kg) only spawned 35,000 eggs per spawn. Annual and batch spawning totals were correlated to female mass (P \u3c 0.0005). All smaller brood fish spawned fewer times in the season than larger brood fish. This work constitutes the first-ever study of reproductive strategy (lottery polygyny) and parental contribution for a carangid species at the individual-level over several spawning events
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