Creating cohesive citizens in England? : exploring the role of diversity, deprivation and democratic climate at school

Over the past decade, cohesion and integration have been a key concern for policymakers in countries across Europe and North America. The rapid increase in immigration, coupled with the perception of rapid social change and instability, is seen to have presented communities and governments with a range of ‘new’ challenges. In the attendant debates, schools are often presented as part of the solution to these challenges, but much remains unknown about the relationship between schools and community cohesion. This article therefore explores the role of schools as a site of socialisation for children and young people and their role in fostering the attitudes, behaviours and norms that are typically associated with citizens in a cohesive society. This article focuses in particular on the role of school demographics and school climate and uses longitudinal data from students in England to examine these relationships

Moments of Moments of the Characteristic Polynomials of Random Orthogonal and Symplectic Matrices

Using asymptotics of Toeplitz+Hankel determinants, we establish formulae for the asymptotics of the moments of the moments of the characteristic polynomials of random orthogonal and symplectic matrices, as the matrix-size tends to infinity. Our results are analogous to those that Fahs obtained for random unitary matrices in [14]. A key feature of the formulae we derive is that the phase transitions in the moments of moments are seen to depend on the symmetry group in question in a significant way

Demystifying emotion-processing: autism, alexithymia, and the underlying psychological mechanisms

Despite extensive research, the mechanisms underpinning successful emotion recognition remain unclear. Constructionist, template-matching, and signal detection theories illuminate several emotion-related psychological processes that may be involved – namely the conceptualisation, experience, visual representation, and production of emotion – however, this requires empirical verification. Therefore, across the six empirical chapters described here, I developed and applied several novel experimental paradigms to assess the way in which individuals conceptualise, experience, visualise, produce and recognise emotion, and created new mathematically plausible, mechanistic models that shed light on the processes involved in emotion recognition. In doing so, I identified several candidate mechanisms that may underpin the emotion recognition difficulties seen in a range of clinical conditions, including autism spectrum disorder, and I (1) determined whether there are differences between autistic and non- autistic individuals in these emotion-related psychological processes, and (2) ascertained whether differences therein underpin emotion recognition challenges for autistic people. Ten years ago, it was theorised that the emotion-related difficulties of autistic individuals do not stem from autism per se, but rather alexithymia – a subclinical condition highly prevalent in the autistic population characterised by difficulties identifying and describing emotions. Since its inception, this theory has gained empirical support, with multiple studies documenting that alexithymia, and not autism, is associated with emotion- processing differences. However, to date, this evidence has largely been confined to the domain of emotion recognition. As such, it is unclear whether there are differences between autistic and non-autistic individuals in the conceptualisation, experience, visual representation, and production of emotion, after controlling for alexithymia. Here, I resolved this ambiguity, discerning the explanatory scope of the “alexithymia hypothesis”: there were no differences between autistic and non-autistic individuals in the understanding or differentiation of emotion concepts (Chapter 6), the precision or differentiation of emotional experiences (Chapter 6), and the speed (Chapter 3) or differentiation of visual emotion representations (Chapter 5), after controlling for alexithymia. Nevertheless, there were differences between groups with respect to the precision of visual representations (Chapter 5), the production of emotional facial expressions (Chapter 7), and recognition of specific emotions (Chapter 2), even after accounting for this confound. Despite suggestions that autistic individuals adopt alternative strategies to recognise the emotions of others, very few studies have examined mechanistic differences in emotion recognition between autistic and non-autistic people. Therefore, here I aimed to compare the processes involved in emotion recognition for these groups. Across multiple empirical chapters, I identified that there are similarities and differences in the processes implicated in emotion recognition for autistic and non-autistic people (Chapters 4, 5, 6, and 7), with autistic individuals relying on fewer emotion-related psychological processes. By elucidating several candidate mechanisms underpinning superior emotion recognition, my doctoral work paves the way for future supportive interventions to help both autistic and non-autistic individuals to accurately interpret other people’s emotions, thus ultimately fostering more successful and fluid social interactions

Evaluating the efficacy of visual assessment of gilt vulva size prior to puberty on subsequent reproductive performance

Objective: This study’s objective was to assess the relationship between visually assigned prepubertal vulva score and subsequent sow productivity in a commercial production system. Materials and Methods: The study was conducted at a genetic nucleus herd, where farm personnel visually classified prepubertal gilts into categories: vulva score 1 (VS1; below average size), VS2 (average vulva size), and VS3 (above average vulva size), at approximately 15 wk of age. Reproductive performance from gilts incorporated into the breeding herd were tracked through 2 parities of production. Results and Discussion: Age at parity 1 (P1) was greatest (P ≤ 0.01) in gilts assigned a VS1 score compared with those receiving a VS2 or VS3 score. The P1 total pigs born for gilts categorized as VS2, VS3, and VS2/3 (VS2 and VS3 combined into one group) was greater (P ≤ 0.05) compared with gilts receiving a score of VS1. The number of pigs born alive was also lower (P ≤ 0.05) for gilts assigned a VS1 compared with those assigned VS2 or VS3 and the combined group (VS2/3). Second parity litter performance was not affected (P \u3e 0.18) by prepubertal vulva score assignment, although total pigs born and pigs born alive through 2 parities combined tended to be greater (P ≤ 0.08) for gilts in the combined VS2/VS3 group compared with those assigned a score of VS1. Implications and Applications: These results suggest that visually assessing prepubertal vulva development may identify females more likely to farrow at a younger age with improved P1 litter performance

Commensal observing with the Allen Telescope array: software command and control

The Allen Telescope Array (ATA) is a Large-Number-Small-Diameter radio telescope array currently with 42 individual antennas and 5 independent back-end science systems (2 imaging FX correlators and 3 time domain beam formers) located at the Hat Creek Radio Observatory (HCRO). The goal of the ATA is to run multiple back-ends simultaneously, supporting multiple science projects commensally. The primary software control systems are based on a combination of Java, JRuby and Ruby on Rails. The primary control API is simplified to provide easy integration with new back-end systems while the lower layers of the software stack are handled by a master observing system. Scheduling observations for the ATA is based on finding a union between the science needs of multiple projects and automatically determining an efficient path to operating the various sub-components to meet those needs. When completed, the ATA is expected to be a world-class radio telescope, combining dedicated SETI projects with numerous radio astronomy science projects.Comment: SPIE Conference Proceedings, Software and Cyberinfrastructure for Astronomy, Nicole M. Radziwill; Alan Bridger, Editors, 77400Z, Vol 774

The Cultivation of <i>Arabidopsis </i>for Experimental Research Using Commercially Available Peat-Based and Peat-Free Growing Media

Experimental research involving Arabidopsis thaliana often involves the quantification of phenotypic traits during cultivation on compost or other growing media. Many commercially-available growing media contain peat, but peat extraction is not sustainable due to its very slow rate of formation. Moreover, peat extraction reduces peatland biodiversity and releases stored carbon and methane into the atmosphere. Here, we compared the experimental performance of Arabidopsis on peat-based and several types of commercially-available peat-free growing media (variously formed from coir, composted bark, wood-fibre, and domestic compost), to provide guidance for reducing peat use in plant sciences research with Arabidopsis. Arabidopsis biomass accumulation and seed yield were reduced by cultivation on several types of peat-free growing media. Arabidopsis performed extremely poorly on coir alone, presumably because this medium was completely nitrate-free. Some peat-free growing media were more susceptible to fungal contamination. We found that autoclaving of control (peat-based) growing media had no effect upon any physiological parameters that we examined, compared with non-autoclaved control growing media, under our experimental conditions. Overall, we conclude that Arabidopsis performs best when cultivated on peat-based growing media because seed yield was almost always reduced when peat-free media were used. This may be because standard laboratory protocols and growth conditions for Arabidopsis are optimized for peat-based media. However, during the vegetative growth phase several phenotypic traits were comparable between plants cultivated on peat-based and some peat-free media, suggesting that under certain circumstances peat-free media can be suitable for phenotypic analysis of Arabidopsis

Harnessing publicly available genetic data to prioritize lipid modifying therapeutic targets for prevention of coronary heart disease based on dysglycemic risk

Therapeutic interventions that lower LDL-cholesterol effectively reduce the risk of coronary artery disease (CAD). However, statins, the most widely prescribed LDL-cholesterol lowering drugs, increase diabetes risk. We used genome-wide association study (GWAS) data in the public domain to investigate the relationship of LDL-C and diabetes and identify loci encoding potential drug targets for LDL-cholesterol modification without causing dysglycemia. We obtained summary-level GWAS data for LDL-C from GLGC, glycemic traits from MAGIC, diabetes from DIAGRAM and CAD from CARDIoGRAMplusC4D consortia. Mendelian randomization analyses identified a one standard deviation (SD) increase in LDL-C caused an increased risk of CAD (odds ratio [OR] 1.63 (95 % confidence interval [CI] 1.55, 1.71), which was not influenced by removing SNPs associated with diabetes. LDL-C/CAD-associated SNPs showed consistent effect directions (binomial P = 6.85 × 10−5). Conversely, a 1-SD increase in LDL-C was causally protective of diabetes (OR 0.86; 95 % CI 0.81, 0.91), however LDL-cholesterol/diabetes-associated SNPs did not show consistent effect directions (binomial P = 0.15). HMGCR, our positive control, associated with LDL-C, CAD and a glycemic composite (derived from GWAS meta-analysis of four glycemic traits and diabetes). In contrast, PCSK9, APOB, LPA, CETP, PLG, NPC1L1 and ALDH2 were identified as “druggable” loci that alter LDL-C and risk of CAD without displaying associations with dysglycemia. In conclusion, LDL-C increases the risk of CAD and the relationship is independent of any association of LDL-C with diabetes. Loci that encode targets of emerging LDL-C lowering drugs do not associate with dysglycemia, and this provides provisional evidence that new LDL-C lowering drugs (such as PCSK9 inhibitors) may not influence risk of diabetes

The effect of rotavirus vaccine on diarrhoea mortality

Background Approximately 39% of the global diarrhoea deaths in children aged 5 years may be attributable to rotavirus infection. Two rotavirus vaccines were recently introduced to the market, with evidence of efficacy in the USA, Europe and Latin America. We sought to estimate the effectiveness of these vaccines against rotavirus morbidity and mortality