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We discuss the process of developing and implementing this intervention, as well as explore feasibility and initial clinical insights. In short, BASIC is an easy-to-adopt intervention that is designed to be effective in a single session, making it well-suited for handling the increased demand for mental health services due to COVID-19.Minority youth, because of structural, ecological, and societal inequalities, are at heightened risk of reporting depression and experiencing negative sanctions associated with delinquency. Sociological theories suggest that greater exposure to ecological risk factors at the peer, family, school and community levels are associated with elevated rates of youth depression and delinquency. Desensitization theory posits that repeated exposures to ongoing stressors result in a numbing of psychological and behavioral responses. Thus, it remains unclear whether racial/ethnic differences exist with regards to how contextual stressors correlate with depression and delinquency. Using a sample of 616 Black, 687 Latinx, and 1,318 White youth, this study explores racial/ethnic differences across four ecological risk factors of risky peers, low family warmth, poor school engagement, and community violence as they relate to youth delinquency and depression. Data were collected through in-school survey of youth from 16 public schools surrounding a major city in the Midwest. Significant racial/ethnic differences provided partial support for the desensitization theory. Among Black youth, the magnitude of relationships between ecological risk factors and delinquency was significantly weaker for three of the four predictors and for all four predictors of depression in comparison to White youth. Among Latinx youth, the magnitude of relationships between ecological risk factors was significantly weaker for depression, but not delinquency, in comparison to White youth. Results indicate that ecological risk factors may have differential associations to youth depression and delinquency, which may call for culturally tailored intervention approaches.Discrete choice models (DCMs) are a class of models for modeling response variables that take values from a set of alternatives. Examples include logistic regression, probit regression, and multinomial logistic regression. These models are also referred together as generalized linear models. Although there exist methods for the goodness of fit of DCMs, defining intuitive residuals for such models has been difficult due to the fact that the responses are categorical values instead of continuous numbers. In this article, we propose the surrogate residual for DCMs based on the surrogate approach (Liu and Zhang 2018), which deals with an ordinal response. We consider categorical responses that may or may not be ordered. We shall show that our residual can be used to diagnose misspecification in the aspects of mean structure, individual-specific coefficients, and interaction effects. Supplementary materials for this article are available online.3D printing is a popular nonconventional manufacturing technique used to print 3D objects by using conventional and nonconventional materials. The application and uses of 3D printing are rapidly increasing in each dimension of the engineering and medical sectors. This article overviews the multipurpose applications of 3D printing based on current research. In the beginning, various popular methods including fused deposition method, stereolithography 3D printing method, powder bed fusion method, digital light processing method, and metal transfer dynamic method used in 3D printing are discussed. Popular materials utilized randomly in printing techniques such as hydrogel, ABS, steel, silver, and epoxy are overviewed. Engineering applications under the current development of the printing technique which include electrode, 4D printing technique, twisting object, photosensitive polymer, and engines are focused. Printing of medical equipment including artificial tissues, scaffolds, bioprinted model, prostheses, surgical instruments, COVID-19, skull, and heart is of major focus. Characterization techniques of the printed 3D products are mentioned. learn more In addition, potential challenges and future prospects are evaluated based on the current scenario. This review article will work as a masterpiece for the researchers interested to work in this field.Establishing evidence- and research-based practices relies upon research synthesis of individual studies in reviews and meta analyses. Further summarizing scientific evidence about a specific topic by synthesizing reviews is an area of need to determine practices that have a strong evidence base and to identify areas of methodological weakness and gaps in the literature. A mega-review of literature reviews, systematic reviews, and meta-analyses on interventions using aided augmentative and alternative communication (AAC) interventions for children with intellectual and developmental disabilities from 2000 to mid-2020 was conducted. Participant and interventionist demographics, interventions, settings, outcomes, and recommendations of each review were reported and summarized. A MeaSurement Tool to Assess systematic Reviews Revised (AMSTAR 2; Shea et al., 2017) was used to examine the methodological rigor of 84 included reviews. Over the past 20 years, published reviews have increased slightly in methodological rigor but demonstrate a number of methodological weaknesses that detract from the strength of evidence for AAC interventions with this population. Suggestions for improving the methodological rigor of literature reviews and areas for future research specific to AAC interventions are discussed.Due to the COVID-19 pandemic, educators have been forced to rapidly transition away from in-person learning environments to completely online formats. Many of these educators have had little or no training and experience teaching online, contributing to stress and anxiety. To compound this problem even further, there are a multitude of online learning technologies from which to choose that can be relatively costly and require an intensive production process. In an effort to provide immediate relief to those dealing with this problem, we detail how interteaching, an empirically supported behavioral teaching technique, can be used to cultivate an interactive online learning environment in either an asynchronous or synchronous format. Specifically, we describe some best practices and provide some examples on how to generate active student responding (ASR) as well as provide pinpointed performance-based feedback. We specifically reference the relatively easy-to-use online software Kaltura, but it is hoped that our suggestions inspire others to develop and use these strategies across a variety of platforms in effort to provide evidence-based quality education during this crisis.