3D diffractive imaging of nanoparticle ensembles using an X-ray laser

We report the 3D structure determination of gold nanoparticles (AuNPs) by X-ray single particle imaging (SPI). Around 10 million diffraction patterns from gold nanoparticles were measured in less than 100 hours of beam time, more than 100 times the amount of data in any single prior SPI experiment, using the new capabilities of the European X-ray free electron laser which allow measurements of 1500 frames per second. A classification and structural sorting method was developed to disentangle the heterogeneity of the particles and to obtain a resolution of better than 3 nm. With these new experimental and analytical developments, we have entered a new era for the SPI method and the path towards close-to-atomic resolution imaging of biomolecules is apparent

Dynamics and inertia of skyrmionic spin structures

Skyrmions are topologically protected winding vector fields characterized by a spherical topology. Magnetic skyrmions can arise as the result of the interplay of various interactions, including exchange, dipolar and anisotropy energy in the case of magnetic bubbles and an additional Dzyaloshinskii-Moriya interaction in the case of chiral skyrmions. Whereas the static and low-frequency dynamics of skyrmions are already well under control, their gigahertz dynamical behaviour has not been directly observed in real space. Here, we image the gigahertz gyrotropic eigenmode dynamics of a single magnetic bubble and use its trajectory to experimentally confirm its skyrmion topology. The particular trajectory points to the presence of strong inertia, with a mass much larger than predicted by existing theories. This mass is endowed by the topological confinement of the skyrmion and the energy associated with its size change. It is thereby expected to be found in all skyrmionic structures in magnetic systems and beyond. Our experiments demonstrate that the mass term plays a key role in describing skyrmion dynamics.

A participatory parent-focused intervention promoting physical activity in preschools: design of a cluster-randomized trial

<p>Abstract</p> <p>Background</p> <p>With rates of childhood obesity increasing, physical activity (PA) promotion especially in young children has assumed greater importance. Given the limited effectiveness of most interventions to date, new approaches are needed. The General Systems theory suggests that involving parents as intervention targets may be effective in fostering healthier life styles in children. We describe the development of a parent-focused participatory intervention and the procedures used to evaluate its effectiveness in increasing daily PA in preschoolers.</p> <p>Methods/Design</p> <p>Thirty-seven South German preschools were identified for this study and agreed to participate. Using a two-armed, controlled cluster-randomized trial design we test a participatory intervention with parents as the primary target group and potential agents of behavioural change. Specifically, the intervention is designed to engage parents in the development, refinement and selection of project ideas to promote PA and in incorporating these ideas into daily routines within the preschool community, consisting of children, teachers and parents. Our study is embedded within an existing state-sponsored programme providing structured gym lessons to preschool children. Thus, child-based PA outcomes from the study arm with the parent-focused intervention and the state-sponsored programme are compared with those from the study arm with the state-sponsored programme alone. The evaluation entails baseline measurements of study outcomes as well as follow-up measurements at 6 and 12 months. Accelerometry measures PA intensity over a period of six days, with the mean over six days used as the primary outcome measure. Secondary outcomes include childrens' BMI, a sum of averaged skin fold thickness measurements across multiple sites, and PA behaviour. Longitudinal multilevel models are used to assess within-subject change and between-group differences in study outcomes, adjusted for covariates at the preschool and individual levels. Teacher qualitative interviews monitor the intervention implementation process.</p> <p>Discussion</p> <p>Participatory approaches that actively involve parents have the potential to promote PA in ways that might be better tailored to local needs and more sustainable. Our mixed methods approach to assess the intervention efficacy and implementation employing both quantitative and qualitative measures within a cluster-randomized controlled trial may serve as a framework for evaluating public health interventions in preschool settings.</p> <p>Trial Registration</p> <p><b>clinicaltrials.gov No: NCT00987532</b></p

Testosterone, cortisol, and serotonin as key regulators of social aggression: A review and theoretical perspective

In human and non-human animals the steroid hormones cortisol and testosterone are involved in social aggression and recent studies suggest that these steroids might jointly regulate this behavior. It has been hypothesized that the imbalance between cortisol and testosterone levels is predictive for aggressive psychopathology, with high testosterone to cortisol ratio predisposing to a socially aggressive behavioral style. In this review, we focus on the effects of cortisol and testosterone on human social aggression, as well as on how they might modulate the aggression circuitry of the human brain. Recently, serotonin is hypothesized to differentiate between impulsive and instrumental aggression, and we will briefly review evidence on this hypothesis. The aim of this article is to provide a theoretical framework for the role of steroids and serotonin in impulsive social aggression in humans

Supplementary Material for: Differential Associations of Dopamine-Related Polymorphisms with Discrete Components of Reaction Time Variability: Relevance for Attention Deficit/Hyperactivity Disorder

<b><i>Background:</i></b> Reaction time variability (RTV) is considered a valid endophenotype of attention deficit/hyperactivity disorder (ADHD). It is also often used to examine the efficacy of drug treatment or individual patients' treatment responses and has been furthermore suggested to significantly reduce the potential number of false-positive diagnoses. Among the most commonly investigated candidate genes for ADHD are DRD2, SLC6A3 (DAT), COMT and MAOA. Genetic associations have, however, proven inconclusive or inconsistent. <b><i>Methods:</i></b> Due to the complexity of dopaminergic neurotransmission in the two distinct prosencephalic dopamine pathways, we examined whether the effects of dopamine-related candidate polymorphisms in the genes DRD2, SLC6A3, COMT and MAOA may be differentially associated with discrete subcomponents of RTV, rather than global RTV. A total of 260 healthy volunteers were genotyped for the aforementioned polymorphisms and performed a reaction time paradigm able to distinguish between sensory and motor reaction time. <b><i>Results:</i></b> We found that functional polymorphisms in the genes encoding for dopamine-catabolizing enzymes (i.e. COMT and MAOA) are associated with motor RTV but not with sensory RTV, whereas vice versa the gene DRD2 influences sensory but not motor RTV. No significant associations for the gene SLC6A3 (DAT) were found. <b><i>Conclusions:</i></b> Our results give new insight into the inconsistent state of the literature regarding genetic associations of RTV and clearly show that the examination of subcomponents thereof explains far more variance compared to global RTV. This could be of great relevance to the use of RTV in basic research, clinical diagnostics and pharmacological studies examining the efficacy of novel drug treatments

CryptOpt: Automatic Optimization of Straightline Code

Manual engineering of high-performance implementations typically consumes many resources and requires in-depth knowledge of the hardware. Compilers try to address these problems; however, they are limited by design in what they can do. To address this, we present CryptOpt, an automatic optimizer for long stretches of straightline code. Experimental results across eight hardware platforms show that CryptOpt achieves a speedup factor of up to 2.56 over current off-the-shelf compilers.Joel Kuepper, David Wu, Andres Erbsen, Jason Gross, Owen Conoly, Chuyue Sun, Samuel Tian, Adam Chlipala, Chitchanok Chuengsatiansup, Daniel Genkin, Markus Wagner, Yuval Yaro