A descriptive and comparative study of the school adjustment counsellor program in the commonwealth of Massachusetts and in the communities of Waltham, Malden, Brookline, and Northborough

Thesis (M.S.)--Boston Universit

A biogeochemical study of nutrient dynamics in artificial soil

Artificial soils have been employed within the Biomes of the Eden Project since its construction in 2000. Produced from sand, bark, composted green waste and lignite clay, these soils were designed to have their nutrient concentrations controlled through careful fertiliser applications. However, following variable environmental conditions, management practices and planting, the soils across the site are performing variably with regard to nutrient retention and storage. Experiments were conducted to assess the performances of an artificial soil in terms of nutrient cycling. This was carried out in three phases: Firstly, soils from the Humid Tropics and Outdoor biomes were sampled and examined, using a range of analytical techniques, to determine the nutrient characteristics of the established artificial soils from across the Eden Project site. This demonstrated that many of the nutrient concentrations of the artificial soils were consistent with those reported for naturally formed soils within comparable environments. All soil samples were of sandy loam texture (ISO 14688-1), with the sand-sized fraction representing > 50 % of the particle size composition. Statistical analyses suggested that management practices had a greater impact on the nutrient characteristics of artificial soils than environmental conditions. Secondly, an artificial soil was produced, following the Eden Project protocol, to examine its performance under controlled environmental conditions. This was packed into 4 columns (1 m height by 110 mm diameter), maintained at 15 ˚C and subjected to an irrigation regime for 52 weeks. Following 26 weeks of irrigation, 2 of the 4 columns were fertilised. Leachate was analysed for dissolved constituents as were solid samples of the fresh soil and of soil samples collected from the columns following 52 weeks irrigation. Leachate concentrations for all nutrients, excepting phosphate, were observed to decline over the irrigation period. Leached phosphate concentrations increased from weeks 0 to 2, and then remained relatively constant. Low nitrogen concentrations within the leachate from weeks 2 to 38 were caused by nitrogen immobilisation within the soil, whilst subsequent mineralisation resulted in increased concentrations from Week 38. Analyses of solid phase constituents determined little variation with depth. Fertiliser application demonstrated a significant (p < 0.05) increase in leachate concentrations for some dissolved organic nitrogen and nitrate, phosphate, magnesium and calcium and a decrease in pH. Fertiliser application observations showed less prominent differences for the extracted and solid phase constituents. Thirdly, biochar was applied to the artificial soil at three concentrations (10 %, 5 % and 2 %) plus a control (0 %), to determine whether biochar application may improve nutrient characteristics of artificial soils. The biochar amended soils were packed into mesocosms and maintained at 15 ˚C for 6 weeks. In general, leachate analyses demonstrated a decrease in nutrient losses to leaching with increasing biochar concentration, highlighting the potential for improved nutrient retention within the soils.European Social Fund, Eden Project, Camborne School of Mines - University of Exete

Making community pharmacies psychologically informed environments (PIE):a feasibility study to improve engagement with people using drug services in Scotland

Funding: This work was funded by a research grant from Pharmacy Research UK: PRUK 2019-PA3-CM.Aim   This developmental study tested the feasibility of training pharmacy staff on the psychologically informed environments (PIE) approach to improve the delivery of care. Background: Community pharmacies provide key services to people who use drugs (PWUD) through needle exchange services, medication-assisted treatment and naloxone distribution. PWUD often have trauma backgrounds, and an approach that has been demonstrated to work well in the homeless sector is PIEs. Methods  Bespoke training was provided by clinical psychologists and assessed by questionnaire. Staff interviews explored changes made following PIE training to adapt the delivery of care. Changes in attitude of staff following training were assessed by questionnaire. Peer researchers interviewed patient/client on observed changes and experiences in participating pharmacies. Staff interviews were conducted six months after training to determine what changes, if any, staff had implemented. Normalisation process theory (NPT) provided a framework for assessing change. Findings Three pharmacies (16 staff) participated. Training evaluation was positive; all participants rated training structure and delivery as 'very good' or 'excellent'. There was no statistically significant change in attitudes. COVID-19 lockdowns restricted follow-up data collection. Staff interviews revealed training had encouraged staff to reflect on their practice and communication and consider potentially discriminatory practice. PIE informed communication skills were applied to manage COVID-19 changes. Staff across pharmacies noted mental health challenges for patients. Five patients were interviewed but COVID-19 delays in data collection meant changes in delivery of care were difficult to recall. However, they did reflect on interactions with pharmacy staff generally. Across staff and patient interviews, there was possible conflation of practice changes due to COVID-19 and the training. However, the study found that training pharmacy teams in PIE was feasible, well received, and further development is recommended. There was evidence of the four NPT domains to support change (coherence, cognitive participation, collective action and reflexive monitoring).Publisher PDFPeer reviewe

Using Task Technology Fit Theory to Guide the Codesign of Mobile Clinical Decision Support Systems

A clinical decision support system (CDSS) is designed to assist health professionals in perioperative patient management. Robust CDSSs are vital to deliver enhanced healthcare services. Incorporating the latest advancements in digital technologies, mobile device based CDSSs are being introduced to healthcare settings at a considerable pace. However, given the nascency of this tech-health synergy, well-defined systematic approaches to be followed to design and develop mobile CDSSs to ensure developed technological solutions are of best fit-for-purpose, are lacking. To address this void, this study proposes an approach combining Task Technology Fit theory and Design Science Research Methodology, to guide the design and development of mobile CDSSs. The proposed approach is applied to a case study to design a mobile CDSS to assist perioperative optimization of surgery patients. The learnings from the case study are reported

New Insights into the Structure, Geology and Hydrocarbon Prospectivity along the Central-Northern Corona Ridge, Faroe-Shetland Basin

Acknowledgements This paper forms part of the lead author’s Ph.D. research conducted as part of the Natural Environment Research Council (NERC) Centre for Doctoral Training (CDT) in Oil and Gas at the University of Aberdeen. It is funded by the University of Aberdeen and sponsored by Total E&P UK Limited, whose support is gratefully acknowledged. PGS are thanked for the generous provision of the FSB MegaSurveyPlus seismic dataset to the Ph.D. project and also for permission to publish part of the dataset (Fig. 3). This paper contains information provided by the North Sea Transition Authority and/or other third parties. Seismic data used throughout this paper were purchased from the UK North Sea Transition Authority (NSTA) National Data Repository (NDR) portal. Well data used throughout this paper are freely available and can be downloaded from the UK NSTA NDR portal. Core photographs were obtained from the BGS Offshore well database. Seismic interpretation was undertaken using Schlumberger Petrel software and well log interpretation was performed using Schlumberger Techlog software, of which academic licenses were kindly provided by Schlumberger and are gratefully acknowledged. Thanks to Conrado Climent, Ole-Petter Hansen, Michael Hertle, Anders Madsen, and Stuart Archer for invaluable discussions during the lead author’s time spent working with TotalEnergies in Copenhagen. Thanks also to Christopher Bugg and Matthew Rowlands at TotalEnergies in Aberdeen. Reviewers Tony Doré, Peter Dromgoole and Clayton Grove are thanked for their detailed constructive reviews which improved this manuscript. The views held within this paper do not necessarily represent the views of Schlumberger, TotalEnergies and Ørsted. Funding: The University of Aberdeen (grant number: RT10121-14), Natural Environment Research Council Centre for Doctoral Training (CDT) in Oil and Gas (grant number: NE/M00578X/1) and Total E&P UK Limited. Principal award-recipient: Lucinda Kate Layfield.Peer reviewedPublisher PD

Efficacy of a compulsory homework programme for increasing physical activity and improving nutrition in children: A cluster randomised controlled trial

Background: Most physical activity interventions in children focus on the school setting; however, children typically engage in more sedentary activities and spend more time eating when at home. The primary aim of this cluster randomised controlled trial was to investigate the effects of a compulsory, health-related homework programme on physical activity, dietary patterns, and body size in primary school-aged children. Methods: A total of 675 children aged 7-10 years from 16 New Zealand primary schools participated in the Healthy Homework study. Schools were randomised into intervention and control groups (1:1 allocation). Intervention schools implemented an 8-week applied homework and in-class teaching module designed to increase physical activity and improve dietary patterns. Physical activity was the primary outcome measure, and was assessed using two sealed pedometers that monitored school- and home-based activity separately. Secondary outcome measures included screen-based sedentary time and selected dietary patterns assessed via parental proxy questionnaire. In addition, height, weight, and waist circumference were measured to obtain body mass index (BMI) and waist-to-height ratio (WHtR). All measurements were taken at baseline (T0), immediately post-intervention (T1), and 6-months post-intervention (T2). Changes in outcome measures over time were estimated using generalised linear mixed models (GLMMs) that adjusted for fixed (group, age, sex, group x time) and random (subjects nested within schools) effects. Intervention effects were also quantified using GLMMs adjusted for baseline values. Results: Significant intervention effects were observed for weekday physical activity at home (T1 [P &lt; 0.001] and T2 [P = 0.019]), weekend physical activity (T1 [P &lt; 0.001] and T2 [P &lt; 0.001]), BMI (T2 only [P = 0.020]) and fruit consumption (T1 only [P = 0.036]). Additional analyses revealed that the greatest improvements in physical activity occurred in children from the most socioeconomically deprived schools. No consistent effects on sedentary time, WHtR, or other dietary patterns were observed. Conclusions: A compulsory health-related homework programme resulted in substantial and consistent increases in children's physical activity - particularly outside of school and on weekends - with limited effects on body size and fruit consumption. Overall, our findings support the integration of compulsory home-focused strategies for improving health behaviours into primary education curricula. Trial registration: Australian New Zealand Clinical Trials Registry, ACTRN12618000590268. Registered 17 April 2018. © 2019 The Author(s)

Effects of polygenic risk for suicide attempt and risky behavior on brain structure in young people with familial risk of bipolar disorder

Bipolar disorder (BD) is associated with a 20–30-fold increased suicide risk compared to the general population. First-degree relatives of BD patients show inflated rates of psychopathology including suicidal behaviors. As reliable biomarkers of suicide attempts (SA) are lacking, we examined associations between suicide-related polygenic risk scores (PRSs)—a quantitative index of genomic risk—and variability in brain structures implicated in SA. Participants (n = 206; aged 12–30 years) were unrelated individuals of European ancestry and comprised three groups: 41 BD cases, 96 BD relatives (“high risk”), and 69 controls. Genotyping employed PsychArray, followed by imputation. Three PRSs were computed using genome-wide association data for SA in BD (SA-in-BD), SA in major depressive disorder (SA-in-MDD) (Mullins et al., 2019, The American Journal of Psychiatry, 176(8), 651–660), and risky behavior (Karlsson Linnér et al., 2019, Nature Genetics, 51(2), 245–257). Structural magnetic resonance imaging processing employed FreeSurfer v5.3.0. General linear models were constructed using 32 regions-of-interest identified from suicide neuroimaging literature, with false-discovery-rate correction. SA-in-MDD and SA-in-BD PRSs negatively predicted parahippocampal thickness, with the latter association modified by group membership. SA-in-BD and Risky Behavior PRSs inversely predicted rostral and caudal anterior cingulate structure, respectively, with the latter effect driven by the “high risk” group. SA-in-MDD and SA-in-BD PRSs positively predicted cuneus structure, irrespective of group. This study demonstrated associations between PRSs for suicide-related phenotypes and structural variability in brain regions implicated in SA. Future exploration of extended PRSs, in conjunction with a range of biological, phenotypic, environmental, and experiential data in high risk populations, may inform predictive models for suicidal behaviors.Australian National Health and Medical Research Council (NHMRC); Lansdowne Foundation, Paul and Jenny Reid, Good Talk, and the Keith Pettigrew Family Bequest. DNA extraction was undertaken by Genetic Repositories Australia (GRA; www.neura.edu.au/GRA), Claudio Toma is a recipient of a “Ramón y Cajal” fellowship (RYC2018-024106-I) from the Spanish MINECO. This research was undertaken with the assistance of resources from the National Computational Infrastructure (NCI), which is supported by the Australian Governmen

Novel real-time PCR species identification assays for British and Irish bats and their application to a non-invasive survey of bat roosts in Ireland

Detection and monitoring of extant bat populations are crucial for conservation success. Non-invasive genetic analysis of bat droppings collected at roosts could be very useful in this respect as a rapid, cost‐efficient monitoring tool. We developed species‐specific real-time PCR assays for 18 British and Irish bat species to enable non‐invasive, large‐scale distribution monitoring, which were then applied to a field survey in Ireland. One hundred and sixty-four DNA samples were collected from 95 bat roosts, of which 73% of samples were identified to species, and the resident bat species were identified at 89% of roosts. However, identification success varied between roost types, ranging from 22% for underground sites to 92% for bat boxes. This panel of DNA tests will be especially useful in cases where roosts contain multiple species, where the number of bats present is small, or bats are otherwise difficult to directly observe. The methodology could be applied to the surveillance of proposed development sites, post development mitigation measures, distribution surveys, bat box schemes and the evaluation of agri-environmental bat box schemes

Quantification of MDMA in seized tablets using benchtop 1H NMR spectroscopy in the absence of internal standards

Recreational MDMA use is a worldwide problem. Tablet dosage varies, thus entailing a requirement for quantitative analysis. The quantification of MDMA in tablets using benchtop 1H NMR spectroscopy via either linear regression (‘manual’ method) or partial least square regression (‘automated’ method) approaches are reported, without the need for an internal standard, and compared against contemporaneously obtained GC–MS data. Twenty samples were evaluated of which 15 were proven to contain MDMA, via qualitative NMR (hit score ≥ 0.97) and GC–MS (Rt = 5.6 min) analysis. Quantitative NMR analysis showed that the mean value of MDMA content was 42.6% w/w by the manual method and 45.9% w/w by the automated method. The mean value obtained from GC analysis was 44.0% w/w. A substantial proportion (n = 9) of the tablets tested possessed > 190 mg of MDMA (range 133–223 mg, average of all techniques’ calculations for each tablet). This value is higher than the reported average MDMA content of tablets by the European Monitoring Centre for Drugs and Drug Addiction (EMCDDA), which was ca. 125 mg of MDMA per tablet in 2016