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Objectives: Mildred Trotter was an anatomist and physical anthropologist whose studies on hair morphology, growth, somatic distribution, and trait relationships to age and ethnogeographic population were foundational to the field of microscopical hair analysis. The collection of human hair samples she assembled for her research has been an underutilized resource for studies on human hair variation. We applied updated methods and reviewed Trotter's original data to reassess the relationship hair traits have to diverse population labels. Methods: Hair form and pigmentation patterns were measured from a subset of the hair samples accumulated by Trotter and we compared our data to Trotter's original results. Variability in hair traits were tested within individuals, within populations, and among ethnogeographic groups. Results: Measured hair cross‐section dimensions and melanosome density and distribution revealed substantial variability within individuals and ethnogeographic populations. Hair traits were found to not be distinctly separable by ancestry but instead showed continuous variation across human populations. Trotter's measurements were precise and the dataset she compiled remains valid, though the conclusions should be reviewed in light of our current understanding of human variation. Discussion: Our findings support moving away from categorical ancestry classifications and eliminating the use of outdated racial typologies in favor of more descriptive trait analysis. Detailed analysis of trait pattern distributions are presented that may be useful for future research on human variation. We point to the need for additional research on human variation and hair trait relationships with reference to known population affinity. [ABSTRACT FROM AUTHOR]

Proximity control is a common component of many classroom management strategies and has been shown to reduce disruptive behavior as well as increase academic engagement among students. Much of the research on proximity control to date has been conducted in structured classroom settings or in combination with other behavioral management techniques. This applied study investigated the effect of proximity control on student behavior in a large, unstructured setting using an ABAB withdrawal design. Results indicate that staff proximity was effective at reducing inappropriate student behavior. The study also explored the acceptability of the treatment among staff participants. Staff reported lower levels of acceptability for the implementation of proximity control compared to pretreatment methods of monitoring. A discussion of these findings and implications is included.

An 11-year-old boy presented in an outpatient clinic with a vocal habit that occurred during reading and conversation. A brief reading assessment was conducted to determine an effective intervention to decrease the habit. A modified version of the word error-correction procedure resulted in positive changes and was implemented by his mother during home reading practices. Significant decreases in the rate of vocal habit were observed during home reading probes, generalization probes, and follow-up.

We evaluated the impact of antecedent specificity in goal statements on adherence to positive behavior-management strategies. Teaching staff were recruited from 2 different school settings where there were routine expectations to use behavior-specific praise in the classroom, but adherence was poor. In a concurrent multiple baseline design, the use of behavior-specific praise by 4 participants was found to be unaffected by goal statements that increasingly specified the behavior to be used and the conditions under which the behavior should occur. However, adherence by 3 of the 4 participants did change when goal statements included teacher-specified frequencies with which the behavior should occur. Results were systematically replicated in a second study in which, in a concurrent multiple baseline design, 3 participants showed marked increases in adherence when goal statements specified the target behavior, the conditions under which it should occur, and the frequency with which it should occur.

School psychologists are tasked with ensuring treatment integrity because the level of intervention implementation affects decisions about student progress. Treatment integrity includes multiple dimensions that may impact the effectiveness of an intervention including adherence, dosage, quality, and engagement. Unfortunately, treatment integrity is not routinely monitored in consultation. A systematic framework is needed to better prepare practitioners to assess, analyze, and intervene when there are treatment integrity failures. A framework for monitoring and improving multiple dimensions of treatment integrity in natural settings is proposed to provide guidance to practitioners through two phases. The first phase focuses on improving initial treatment integrity and the second phase outlines a problem-solving process for improving treatment integrity.

Introduction: Multi-view data offer advantages over single-view data for characterizing individuals, which is crucial in precision medicine toward personalized prevention, diagnosis, or treatment follow-up. Methods: Here, we develop a network-guided multi-view clustering framework named netMUG to identify actionable subgroups of individuals. This pipeline first adopts sparse multiple canonical correlation analysis to select multi-view features possibly informed by extraneous data, which are then used to construct individual-specific networks (ISNs). Finally, the individual subtypes are automatically derived by hierarchical clustering on these network representations. Results: We applied netMUG to a dataset containing genomic data and facial images to obtain BMI-informed multi-view strata and showed how it could be used for a refined obesity characterization. Benchmark analysis of netMUG on synthetic data with known strata of individuals indicated its superior performance compared with both baseline and benchmark methods for multi-view clustering. The clustering derived from netMUG achieved an adjusted Rand index of 1 with respect to the synthesized true labels. In addition, the real-data analysis revealed subgroups strongly linked to BMI and genetic and facial determinants of these subgroups. Discussion: netMUG provides a powerful strategy, exploiting individual-specific networks to identify meaningful and actionable strata. Moreover, the implementation is easy to generalize to accommodate heterogeneous data sources or highlight data structures. [ABSTRACT FROM AUTHOR]

Identifying regions of the human genome that have been targets of natural selection will provide important insights into human evolutionary history and may facilitate the identification of complex disease genes. Although the signature that natural selection imparts on DNA sequence variation is difficult to disentangle from the effects of neutral processes such as population demographic history, selective and demographic forces can be distinguished by analyzing multiple loci dispersed throughout the genome. We studied the molecular evolution of 132 genes by comprehensively resequencing them in 24 African-Americans and 23 European-Americans. We developed a rigorous computational approach for taking into account multiple hypothesis tests and demographic history and found that while many apparent selective events can instead be explained by demography, there is also strong evidence for positive or balancing selection at eight genes in the European-American population, but none in the African-American population. Our results suggest that the migration of modern humans out of Africa into new environments was accompanied by genetic adaptations to emergent selective forces. In addition, a region containing four contiguous genes on Chromosome 7 showed striking evidence of a recent selective sweep in European-Americans. More generally, our results have important implications for mapping genes underlying complex human diseases.

Direct observation is often considered the "gold standard" for assessing the function, frequency, and intensity of problem behavior. Currently, the literature investigating the construct validity of direct observation conducted in the clinic setting reveals conflicting results. Previous studies on the construct validity of clinic-based observations of parent and child interaction have focused on correlating behavior rates across clinic and home settings. These studies provide some preliminary data on how accurately in-clinic observations reflect the rates of behavior in the home setting; however, they provide little information regarding the interaction patterns between the parent and the child. The current study explores a method of assessing construct validity by comparing parent-child interactions in the clinic with parent-child interactions in the home. Results of this investigation suggest parents and children may exhibit similar rates of behavior in the clinic and home during structured activities and similar types of interactions during those activities. (Contains 5 tables and 8 figures.)

The effectiveness of fixed-time delivery of attention to increase the on-task behavior of 2 students in general education was examined. The teacher in this study provided attention to students on a 5-min fixed-time schedule and responded to students in her typical manner between cued intervals. An ABAB withdrawal design was used to test the effects of the intervention. The results of this study indicate that a fixed-time schedule of attention was effective in increasing students' on-task behavior and decreasing their off-task behavior. Implications of the study for research and practice are discussed.

Selective mutism is a childhood disorder that most school psychologists and educational providers will come across at least once in their careers. Selective mutism is associated with significant impairment in educational settings where speaking is necessary for academic and social skill development. Effective treatments for selective mutism typically involve shaping or stimulus fading procedures. Choosing an effective treatment strategy for a child with selective mutism is dependent upon careful analysis of data gathered during the assessment process. This article focuses on behavior observations as a primary source of data for effective decision making regarding treatment for selective mutism. Previous literature on behavior observation and selective mutism is reviewed and guidelines are presented for decision making based on observational data. This article presents two case studies that illustrate the use of observational data for treatment decision making. In addition, the role of behavioral observations to inform selective mutism treatment decisions in practice and the need for future research on this topic are discussed. (Contains 5 tables and 1 figure.)

This study examined the effects of effective command training with teachers on students' compliance rates and academic engagement. Three target students were selected who were exhibiting compliance rates substantially below peers. The students' teachers were taught how to provide effective commands. Results indicated that students' rates of compliance increased with increased use of effective commands. When verbal praise was added contingent on compliance, students' rates of compliance increased even more. In addition, academic engagement was shown to increase as student compliance increased and disruptive competing behaviors decreased. Implications for consultation and intervention in the classroom to increase student compliance and academic behaviors are discussed. (Contains 4 tables and 4 figures.)