Challenging Behaviors in Young Children: The Father\u27s Role

In this study, the authors examined the parenting practices, developmental expectations, and stress levels of 136 fathers and the challenging and prosocial behaviors of their 1- to 5-year-old children. In addition, the authors systematically addressed fathers\u27 qualitative concerns about their parenting. The authors divided the participants into 4 groups and controlled for family socioeconomic status (SES) and the focus child\u27s gender. Results showed a significantly higher use of corporal and verbal punishment and parenting stress among lower income fathers. Secondary analyses demonstrated a significant effect of paternal disciplinary practices that emphasized the frequent use of corporal and verbal punishment on child behavior problems, regardless of SES level. On a positive note, fathers from both lower and higher SES groups had reasonable developmental expectations for their boys and girls, and they reported similar frequencies of their children\u27s prosocial behavior. The authors discuss the need for early parent education programs that include fathers and that teach specific strategies to address child behavior problems

Psychedelics Promote Structural and Functional Neural Plasticity.

Atrophy of neurons in the prefrontal cortex (PFC) plays a key role in the pathophysiology of depression and related disorders. The ability to promote both structural and functional plasticity in the PFC has been hypothesized to underlie the fast-acting antidepressant properties of the dissociative anesthetic ketamine. Here, we report that, like ketamine, serotonergic psychedelics are capable of robustly increasing neuritogenesis and/or spinogenesis both in vitro and in vivo. These changes in neuronal structure are accompanied by increased synapse number and function, as measured by fluorescence microscopy and electrophysiology. The structural changes induced by psychedelics appear to result from stimulation of the TrkB, mTOR, and 5-HT2A signaling pathways and could possibly explain the clinical effectiveness of these compounds. Our results underscore the therapeutic potential of psychedelics and, importantly, identify several lead scaffolds for medicinal chemistry efforts focused on developing plasticity-promoting compounds as safe, effective, and fast-acting treatments for depression and related disorders

The physical activity experiences of men with serious mental illness: Three short stories

Objectives: Although a considerable amount of research has explored the effects of physical activity on mental health, the voices of people with mental illness have been largely excluded from published reports. Through this study we aim to foreground service users' voices in order to shed light on the personal and subjective nature of the relationship between physical activity and serious mental illness (SMI). Methods: An interpretive case study approach was used to explore in depth the physical activity experiences of three men with SMI. Creative analytic practice was used to write three creative non-fictions which, as first-person narratives, foreground the participants' voices. Results: We present three short stories in an effort to communicate participants' personal and subjective experiences of physical activity in an accessible, engaging, and evocative manner. We hope to: (i) provide potentially motivating physical activity success stories for others who live with SMI; (ii) increase awareness among mental health professionals of the possibilities of physical activity; and (iii) provide an empathetic understanding of possibilities and problems of living with SMI which may help challenge the stigma surrounding mental illness. Conclusions: For us, the stories communicate the diversity and difference inherent in the ways men with SMI experience physical activity. We reflect on how the short story form allows these differences to be preserved and respected. We resist making further interpretations of the stories preferring instead to encourage the reader to form her or his own conclusions. © 2007 Elsevier Ltd. All rights reserved

Heterogeneity of cell surface glutamate and GABA receptor expression in Shank and CNTN4 autism mouse models

Autism spectrum disorder (ASD) refers to a large set of neurodevelopmental disorders, which have in common both repetitive behavior and abnormalities in social interactions and communication. Interestingly, most forms of ASD have a strong genetic contribution. However, the molecular underpinnings of this disorder remain elusive. The SHANK3 gene (and to a lesser degree SHANK2) which encode for the postsynaptic density (PSD) proteins SHANK3/SHANK2 and the CONTACTIN 4 gene which encodes for the neuronal glycoprotein CONTACTIN4 (CNTN4) exhibit mutated variants which are associated with ASD. Like many of the other genes associated with ASD, both SHANKs and CNTN4 affect synapse formation and function and are therefore related to the proper development and signaling capability of excitatory and inhibitory neuronal networks in the adult mammal brain. In this study we used mutant/knock-out mice of Shank2 (Shank2-/-), Shank3 (Shank3αβ-/-), and Cntn4 (Cntn4-/-) as ASD-models to explore whether these mice share a molecular signature in glutamatergic and GABAergic synaptic transmission in ASD-related brain regions. Using a biotinylation assay and subsequent western blotting we focused our analysis on cell surface expression of classical several ionotropic glutamate and GABA receptor subunits: GluA1, GluA2, and NR1GluN1 were analyzed for excitatory synaptic transmission, and the α1 subunit of the GABAA receptor was analyzed for inhibitory synaptic transmission. We found that both Shank2-/- and Shank3αβ-/- mice exhibit reduced levels of several cell surface glutamate receptors in most of the analyzed brain regions – especially in the striatum and thalamus – when compared to wildtype controls. Interestingly, even though Cntn4-/- mice also show reduced levels of some cell surface glutamate receptors in the cortex and hippocampus, increased levels of cell surface glutamate receptors were found in the striatum. Moreover, Cntn4-/- mice do not only show brain region-specific alterations in cell surface glutamate receptors but also a downregulation of cell surface GABA receptors in several of the analyzed brain regions. The results of this study suggest that even though mutations in defined genes can be associated with ASD this does not necessarily result in a common molecular phenotype in surface expression of glutamatergic and GABAergic receptor subunits in defined brain regions

Computers from plants we never made. Speculations

We discuss possible designs and prototypes of computing systems that could be based on morphological development of roots, interaction of roots, and analog electrical computation with plants, and plant-derived electronic components. In morphological plant processors data are represented by initial configuration of roots and configurations of sources of attractants and repellents; results of computation are represented by topology of the roots' network. Computation is implemented by the roots following gradients of attractants and repellents, as well as interacting with each other. Problems solvable by plant roots, in principle, include shortest-path, minimum spanning tree, Voronoi diagram, $\alpha$-shapes, convex subdivision of concave polygons. Electrical properties of plants can be modified by loading the plants with functional nanoparticles or coating parts of plants of conductive polymers. Thus, we are in position to make living variable resistors, capacitors, operational amplifiers, multipliers, potentiometers and fixed-function generators. The electrically modified plants can implement summation, integration with respect to time, inversion, multiplication, exponentiation, logarithm, division. Mathematical and engineering problems to be solved can be represented in plant root networks of resistive or reaction elements. Developments in plant-based computing architectures will trigger emergence of a unique community of biologists, electronic engineering and computer scientists working together to produce living electronic devices which future green computers will be made of.Comment: The chapter will be published in "Inspired by Nature. Computing inspired by physics, chemistry and biology. Essays presented to Julian Miller on the occasion of his 60th birthday", Editors: Susan Stepney and Andrew Adamatzky (Springer, 2017

Pollen Nightmare: Elevated Airborne Pollen Levels at Night

High airborne pollen concentrations are generally associated with daylight hours when it is sunny and warm and plants release pollen into the air (Alcázar et al. 1999; Dahl et al. 2013). In contrast, cooler night-time periods are usually considered to be the time of low-allergy risk. This opinion is often reflected in pollen allergy avoidance strategies presented by the media, where the most commonly repeated recommendation is to stay indoors during the day and plan outdoor activities for the evening. However, there is evidence to suggest that elevated concentrations of airborne pollen might also occur during the evening (e.g. Norris-Hill and Emberlin 1991). So, is the night really a time of low-allergy risk? We present the results of the comparative analysis of pollen concentrations during daytime and night-time hours for five allergenic pollen types (Burbach et al. 2009), i.e. alder (Alnus sp.), birch (Betula sp.), grasses (Poaceae), mugwort (Artemisia sp.) and ragweed (Ambrosia sp.)

A Conceptual Framework for Social, Behavioral, and Environmental Change through Stakeholder Engagement in Water Resource Management

Incorporating stakeholder engagement into environmental management may help in the pursuit of novel approaches for addressing complex water resource problems. However, evidence about how and under what circumstances stakeholder engagement enables desirable changes remains elusive. In this paper, we develop a conceptual framework for studying social and environmental changes possible through stakeholder engagement in water resource management, from inception to outcomes. We synthesize concepts from multiple literatures to provide a framework for tracing linkages from contextual conditions, through engagement process design features, to social learning, community capacity building, and behavioral change at individual, group, and group network levels, and ultimately to environmental change. We discuss opportunities to enhance the framework including through empirical applications to delineate scalar and temporal dimensions of social, behavioral, and environmental changes resulting from stakeholder engagement, and the potential for negative outcomes thus far glossed over in research on change through engagement

Evaluation of biases present in the cohort multiple randomised controlled trial design: a simulation study

Background The cohort multiple randomised controlled trial (cmRCT) design provides an opportunity to incorporate the benefits of randomisation within clinical practice; thus reducing costs, integrating electronic healthcare records, and improving external validity. This study aims to address a key concern of the cmRCT design: refusal to treatment is only present in the intervention arm, and this may lead to bias and reduce statistical power. Methods We used simulation studies to assess the effect of this refusal, both random and related to event risk, on bias of the effect estimator and statistical power. A series of simulations were undertaken that represent a cmRCT trial with time-to-event endpoint. Intention-to-treat (ITT), per protocol (PP), and instrumental variable (IV) analysis methods, two stage predictor substitution and two stage residual inclusion, were compared for various refusal scenarios. Results We found the IV methods provide a less biased estimator for the causal effect when refusal is present in the intervention arm, with the two stage residual inclusion method performing best with regards to minimum bias and sufficient power. We demonstrate that sample sizes should be adapted based on expected and actual refusal rates in order to be sufficiently powered for IV analysis. Conclusion We recommend running both an IV and ITT analyses in an individually randomised cmRCT as it is expected that the effect size of interest, or the effect we would observe in clinical practice, would lie somewhere between that estimated with ITT and IV analyses. The optimum (in terms of bias and power) instrumental variable method was the two stage residual inclusion method. We recommend using adaptive power calculations, updating them as refusal rates are collected in the trial recruitment phase in order to be sufficiently powered for IV analysis