375 research outputs found
Synthesis of novel cylic monomers for hydrogel polymers
The aim of the project was to synthesise hydrophilic derivatives of 1,2-dihydroxy-3,5-cyclohexadiene (DHCD) and to copolymerise these derivatives with 2-hydroxyethyl methacrylate (HEMA), to give a completely new range of hydrogel materials. It was thought that hydro gels incorporating hydrophilic derivatives of DHCD could have good mechanical properties and good water binding ability. A model compound for cis-DHCD was sought, as cis-DHCD was expensive and stable under only a narrow range of conditions. Catechol was found to be an excellent model for cis-DHCD, as 1H NMR spectroscopy indicated that both compounds contained eclipsed hydroxy groups and flat rings. A number of catechol derivatives were prepared in good yield, under non-acidic conditions at room temperature. The limited availabilty of cis-DHCD led to an investigation into synthesising hydrophilic derivatives of both cis and trans-DHCD indirectly. Hydrophobic derivatives were easily prepared by indirect routes, but it was found that hydrophilic derivatives were considerably more difficult to synthesise. A number of novel routes to both cis and trans-DHCD were also explored. Copolymerisation of diacetate, dimethylcarbonate and dipivalate derivatives of cis-DHCD with HEMA, to form a hitherto unknown group of hydrogels, is reported. Hydrogels containing these monomers showed significant improvements in both tensile strength and Youngs modulus, at both equivalent composition and water content, over the corresponding HEMA / styrene and HEMA / methyl methacrylate analogues. It was observed that derivatives of trans-DHCD polymerise with difficulty. 1H NMR studies indicated that both faces of the ring were shielded by the pendant groups thereby preventing efficient polymerisation of the trans monomers
Developmental trajectories of autistic social traits in the general population
BACKGROUND: Autistic people show diverse trajectories of autistic traits over time, a phenomenon labelled 'chronogeneity'. For example, some show a decrease in symptoms, whilst others experience an intensification of difficulties. Autism spectrum disorder (ASD) is a dimensional condition, representing one end of a trait continuum that extends throughout the population. To date, no studies have investigated chronogeneity across the full range of autistic traits. We investigated the nature and clinical significance of autism trait chronogeneity in a large, general population sample. METHODS: Autistic social/communication traits (ASTs) were measured in the Avon Longitudinal Study of Parents and Children using the Social and Communication Disorders Checklist (SCDC) at ages 7, 10, 13 and 16 (N = 9744). We used Growth Mixture Modelling (GMM) to identify groups defined by their AST trajectories. Measures of ASD diagnosis, sex, IQ and mental health (internalising and externalising) were used to investigate external validity of the derived trajectory groups. RESULTS: The selected GMM model identified four AST trajectory groups: (i) Persistent High (2.3% of sample), (ii) Persistent Low (83.5%), (iii) Increasing (7.3%) and (iv) Decreasing (6.9%) trajectories. The Increasing group, in which females were a slight majority (53.2%), showed dramatic increases in SCDC scores during adolescence, accompanied by escalating internalising and externalising difficulties. Two-thirds (63.6%) of the Decreasing group were male. CONCLUSIONS: Clinicians should note that for some young people autism-trait-like social difficulties first emerge during adolescence accompanied by problems with mood, anxiety, conduct and attention. A converse, majority-male group shows decreasing social difficulties during adolescence
Study of Forces During Ultrasonic Vibration Assisted Grinding
AbstractRadial and tangential grinding forces were presented as four components connected with workpiece material microcutting and plastic deformation, and friction of cutting and abrasive grains (AGs) with the workpiece.The depth of abrasive grain penetration in the workpiece and the cutting width are determined with regard to ultrasonic vibrations (USV) amplitude and frequency. Summing up of the forces from single grains was conducted by using a multiple integral, provided that one of the integration limits is a function describing change of the depth of the AGs penetration in the workpiece material which depends on the USV parameters. Dependencies were obtained for calculation of all grinding force components at different vibration amplitudes and frequencies when various number of USV waves fits the contact arc of the grain and the workpiece.Experimental values of grinding forces turned out to be 10 – 15% lower than those when USV waves are not applied
Structural models of genome-wide covariance explain variation in autism spectrum disorder symptoms
Polygenic risk scores for clinical ADHD are associated with impaired educational achievement and lower IQ in children and adults from the general population
Structural models of genome-wide covariance identify multiple common dimensions in autism
Common genetic variation has been associated with multiple symptoms in Autism Spectrum Disorder (ASD). However, our knowledge of shared genetic factor structures contributing to this highly heterogeneous neurodevelopmental condition is limited. Here, we developed a structural equation modelling framework to directly model genome-wide covariance across core and non-core ASD phenotypes, studying autistic individuals of European descent using a case-only design. We identified three independent genetic factors most strongly linked to language/cognition, behaviour and motor development, respectively, when studying a population-representative sample (N=5,331). These analyses revealed novel associations. For example, developmental delay in acquiring personal-social skills was inversely related to language, while developmental motor delay was linked to self-injurious behaviour. We largely confirmed the three-factorial structure in independent ASD-simplex families (N=1,946), but uncovered simplex-specific genetic overlap between behaviour and language phenotypes. Thus, the common genetic architecture in ASD is multi-dimensional and contributes, in combination with ascertainment-specific patterns, to phenotypic heterogeneity
Polygenic risk for psychiatric disorder reveals distinct association profiles across social behaviour in the general population
Genome-wide association meta-analysis of expressive and receptive vocabulary from infancy to early childhood
Genetic links between social-communication traits, ADHD traits and clinical ADHD during development
Polygenic risk for mental disorder reveals distinct association profiles across social behaviour in the general population
Many mental health conditions present a spectrum of social difficulties that overlaps with social behaviour in the general population including shared but little characterised genetic links. Here, we systematically investigate heterogeneity in shared genetic liabilities with attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorders (ASD), bipolar disorder (BP), major depression (MD) and schizophrenia across a spectrum of different social symptoms. Longitudinally assessed low-prosociality and peer-problem scores in two UK population-based cohorts (4–17 years; parent- and teacher-reports; Avon Longitudinal Study of Parents and Children(ALSPAC): N ≤ 6,174; Twins Early Development Study(TEDS): N ≤ 7,112) were regressed on polygenic risk scores for disorder, as informed by genome-wide summary statistics from large consortia, using negative binomial regression models. Across ALSPAC and TEDS, we replicated univariate polygenic associations between social behaviour and risk for ADHD, MD and schizophrenia. Modelling variation in univariate genetic effects jointly using random-effect meta-regression revealed evidence for polygenic links between social behaviour and ADHD, ASD, MD, and schizophrenia risk, but not BP. Differences in age, reporter and social trait captured 45–88% in univariate effect variation. Cross-disorder adjusted analyses demonstrated that age-related heterogeneity in univariate effects is shared across mental health conditions, while reporter- and social trait-specific heterogeneity captures disorder-specific profiles. In particular, ADHD, MD, and ASD polygenic risk were more strongly linked to peer problems than low prosociality, while schizophrenia was associated with low prosociality only. The identified association profiles suggest differences in the social genetic architecture across mental disorders when investigating polygenic overlap with population-based social symptoms spanning 13 years of child and adolescent development
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