The American Psychological Association's Society of Clinical Psychology recently adopted the "Tolin Criteria" to evaluate empirically supported treatments. These criteria better account for strength and quality of rapidly accumulating evidence bases for various treatments. Here we apply this framework to cognitive behavioral therapy for insomnia (CBT-I). Following procedures outlined by Tolin, McKay, et al. (2015), Step 1 included an examination of quantitative systematic reviews; nine met inclusion criteria. Step 2 evaluated review quality and effect size data. We found high-quality evidence that CBT-I produces clinically and statistically significant effects on insomnia and other sleep-related outcomes. Based on the Tolin Criteria, the literature merits a "strong" recommendation for CBT-I. This report is a working model for subsequent applications of the Tolin Criteria.This study examined early adolescent autonomy and relatedness during disagreements with friends as key social competencies likely to predict academic achievement during the transition to high school and academic attainment into early adulthood. A sample of 184 adolescents was followed through age 29 to assess predictions to academic success from observed autonomy and relatedness during a disagreement task with a close friend. Observed autonomy and relatedness at age 13 predicted relative increases in grade point average (GPA) from 13 to 15, and greater academic attainment by age 29, after accounting for baseline GPA. Findings remained after accounting for peer acceptance, social competence, scholastic competence, externalizing and depressive symptoms, suggesting a key role for autonomy and relatedness during disagreements in helping adolescents navigate challenges in the transition to high school and beyond.In response to the opioid epidemic, there have been several national and state-level policies enacted. Consideration of how criminal justice-involved individuals are affected by such policies has received limited attention, despite disproportionately higher use among this population. Bivariate statistics examined yearly trends and logistic regressiosns examined demographic correlates of nonmedical prescription opioid and heroin use among Kentucky inmates over an eight-year time-span of important national and local policy changes (n=34,542). Results indicate that among incarcerated individuals, prior use of heroin increased 204% from 2008 to 2016, with increases possibly linked to key policy changes associated with OxyContin reformulation and state implementation of a prescription drug monitoring program. The current incarcerated population had more severe use patterns when considering general population research. Consideration of criminal justice-involved populations is crucial to understanding and treating the opioid epidemic.Our understanding of synaptic connectivity in the brain relies on the ability to accurately trace sparsely labeled neurons from 3D optical microscopy stacks of images. A variety of automated algorithms and software tools have been developed for this task. These algorithms can capture the general layout of neurites with high fidelity, but the resulting traces often contain topological errors such as broken and incorrectly merged branches. Even a small number of isolated topological errors can drastically alter the connectivity, and therefore, their detection and correction are paramount for connectomics studies. Here, we describe an automated trace proofreading approach that utilizes machine learning to correct trace topology. Multiple stacks of neuron images were traced by two users to create a labeled dataset and assess the baseline of inter-user variability. All traces were then disconnected at branch points and a deep neural network was trained to detect the correct way of reconnecting the branches. Custom morphological features were generated for each cluster of branch points, in a way that is dependent on a merging scenario but invariant to translations, rotations, and reflections of the cluster in the imaging plane. The features and image volume centered at the branch point were used for training a neural network that concatenates these input streams and outputs the confidence measure for different branch merging scenarios. The designed method significantly reduces the number of topological errors in automated traces and comes close to the accuracy achieved by expert users which is the gold standard in the field.Yields of organoindium reagents synthesized from indium metal were previously reported to be highly dependent on metal batch and supplier due to the presence or absence of anticaking agent. Here, single-particle fluorescence microscopy established that MgO, an additive in some batches nominally for anticaking, significantly increased the physisorption of small-molecule organics onto the surface of the resulting MgO-coated indium metal particles. An inert and relatively nonpolar boron dipyrromethene fluorophore with a hydrocarbon tail provided a sensitive probe for this surface physisorption. SEM images revealed markedly different surface properties of indium particles either with or without MgO, consistent with their different physisorption properties observed by fluorescence microscopy. We further documented incomplete commercial bottle labeling regarding the presence and composition of this anticaking agent, both within our laboratory and previously in the literature, which may complicate reproducibility between laboratories. see more Trimethylsilyl chloride pretreatment, a step employed in a subset of reported synthetic procedures, removed the anticaking agent and produced particles with similar physisorption properties as commercial batches of indium powder distributed without the anticaking agent. These data indicate the possibility of an additional substrate/catalyst physisorption mechanism by which the anticaking agent may be influencing synthetic procedures that generate organoindium reagents from indium metal, in addition to simple anticaking.Youth in foster care often experience more difficulty in school compared to their non-foster care peers. Difficulties exist across domains of academic functioning, including both performance (e.g., low grades) and behavioral health (e.g., high externalizing concerns) in school. One factor that has shown to be associated with positive academic functioning in the general population but remains to be comprehensively examined among youth in foster care is social support. This includes examining specific sources of support for youth in foster care and taking into consideration the context of the frequent placement disruptions many children in foster care experience. This study sought to determine which sources of social support are associated with academic functioning for youth in foster care by examining child-report of social support from parents, teachers, friends, and classmates in relation to school grades and teacher-reported behavioral health outcomes. Information on each source of social support was obtained from the self-report of 257 youth in foster care, and information on placement characteristics were obtained from child welfare casefiles.