Estimation of population affinity using proximal femoral measurements based on computed tomographic images in the Japanese and western Australian populations.

The present study analyzes morphological differences femora of contemporary Japanese and Western Australian individuals and investigates the feasibility of population affinity estimation based on computed tomographic (CT) data. The latter is deemed to be of practical importance because most anthropological methods rely on the assessment of aspects of skull morphology, which when damaged and/or unavailable, often hampers attempts to estimate population affinity. The study sample comprised CT scans of 297 (146 females; 151 males) Japanese and 330 (145 females; 185 males) Western Australian adult individuals. A total of 10 measurements were acquired in two-dimensional CT images of the left and right femora; two machine learning methods (random forest modeling [RFM]) and support vector machine [SVM]) were then applied for population affinity classification. The accuracy of the two-way (sex-specific and sex-mixed) model was between 71.38 and 82.07% and 76.09-86.09% for RFM and SVM, respectively. Sex-specific (female and male) models were slightly more accurate compared to the sex-mixed models; there were no considerable differences in the correct classification rates between the female- and male-specific models. All the classification accuracies were higher in the Western Australian population, except for the male model using SVM. The four-way sex and population affinity model had an overall classification accuracy of 74.96% and 79.11% for RFM and SVM, respectively. The Western Australian females had the lowest correct classification rate followed by the Japanese males. Our data indicate that femoral measurements may be particularly useful for classification of Japanese and Western Australian individuals.

Population affinity estimation using pelvic measurements based on computed tomographic data acquired from Japanese and Western Australian populations.

The present study analyzes morphological differences in the pelvis of Japanese and Western Australian individuals and investigates the feasibility of population affinity classification based on computed tomography (CT) data. The Japanese and Western Australian samples comprise CT scans of 207 (103 females; 104 males) and 158 (78 females; 80 males) adult individuals, respectively. Following volumetric reconstruction, a total of 19 pelvic landmarks were obtained on each sample, and 11 measurements, including two angles, were calculated. Machine learning methods (random forest modeling [RFM] and support vector machine [SVM]) were used to classify population affinity. Classification accuracy of the two-way models was approximately 80% for RFM: the two-way sex-specific and sex-mixed models for SVM achieved > 90% and > 85%, respectively. The sex-specific models had higher accurate classification rates than the sex-mixed models, except for the Japanese male sample. The classification accuracy of the four-way sex and population affinity model had an overall classification accuracy of 76.71% for RFM and 87.67% for SVM. All the correct classification rates were higher in the Japanese relative to the Western Australian sample. Our data suggest that pelvic morphology is sufficiently distinct between Japanese and Western Australian individuals to facilitate the accurate classification of population affinity based on measurements acquired in CT images. To the best of our knowledge, this is the first study investigating the feasibility of population affinity estimation based on CT images of the pelvis, which appears as a viable supplement to traditional approaches based on cranio-facial morphology.

Estimation of ancestry from cranial measurements based on MDCT data acquired in a Japanese and Western Australian population.

The estimation of ancestry is important not only towards establishing identity but also as a required precursor to facilitating the accurate estimation of other attributes such as sex, age at death, and stature. The present study aims to analyze morphological variation in the crania of Japanese and Western Australian individuals and test predictive models based on machine learning for their potential forensic application. The Japanese and Western Australian samples comprise computed tomography (CT) scans of 230 (111 female; 119 male) and 225 adult individuals (112 female; 113 male), respectively. A total of 18 measurements were calculated, and machine learning methods (random forest modeling, RFM; support vector machine, SVM) were used to classify ancestry. The two-way unisex model achieved an overall accuracy of 93.2% for RFM and 97.1% for SVM, respectively. The four-way sex and ancestry model demonstrated an overall classification accuracy of 84.0% for RFM and 93.0% for SVM. The sex-specific models were most accurate in the female samples (♀ 95.1% for RFM and 100% for SVM; ♂91.4% for RFM and 97.4% for SVM). Our findings suggest that cranial measurements acquired in CT images can be used to accurately classify Japanese and Western Australian individuals into their respective population. This is the first study to assess the feasibility of ancestry estimation using three-dimensional CT images of the skull.

Demonstrating the empirical effect of population specificity of anthropological standards in a contemporary Australian population.

The ability to differentiate individuals based on their biological sex is essential for the creation of an accurate anthropological assessment; it is therefore crucial that the standards that facilitate this are likewise accurate. Given the relative paucity of population-specific anthropological standards formulated specifically for application in the contemporary Australian population, forensic anthropological assessments have historically relied on the application of established methods developed using population geographically and/or temporally disparate. The aim of the present paper is, therefore, to assess the accuracy and reliability of established cranial sex estimation methods, developed from geographically distinct populations, as applied to the contemporary Australian population. Comparison between the original stated accuracy and sex bias values (where applicable) and those achieved after application to the Australian population provides insight into the importance of having anthropological standards optimised for application in specific jurisdictions. The sample analysed comprised computed tomographic (CT) cranial scans of 771 (385 female and 386 male) individuals collected from five Australian states/territories. Cranial CT scans were visualised as three-dimensional volume-rendered reconstructions using OsiriX®. On each cranium, 76 cranial landmarks were acquired, and 36 linear inter-landmark measurements were calculated using MorphDB. A total of 35 predictive models taken from Giles and Elliot (1963), Iscan et al. (1995), Ogawa et al. (2013), Steyn and Iscan (1998) and Kranioti et al. (2008) were tested. Application to the Australian population resulted in an average decrease in accuracy of 21.2%, with an associated sex bias range between - 64.0 and 99.7% (average sex bias value of 29.6%), relative to the original studies. The present investigation has highlighted the inherent inaccuracies of applying models derived from geographically and/or temporally disparate populations. It is, therefore, imperative that statistical models developed from a population consistent with the decedent be used for the estimation of sex in forensic casework.

Cult, herding, and 'pilgrimage' in the Late Neolithic of north-west Arabia: Excavations at a mustatil east of AlUla.

Since the 1970s, monumental stone structures now called mustatil have been documented across Saudi Arabia. However, it was not until 2017 that the first intensive and systematic study of this structure type was undertaken, although this study could not determine the precise function of these features. Recent excavations in AlUla have now determined that these structures fulfilled a ritual purpose, with specifically selected elements of both wild and domestic taxa deposited around a betyl. This paper outlines the results of the University of Western Australia's work at site IDIHA-0008222, a 140 m long mustatil (IDIHA-F-0011081), located 55 km east of AlUla. Work at this site sheds new and important light on the cult, herding and 'pilgrimage' in the Late Neolithic of north-west Arabia, with the site revealing one of the earliest chronometrically dated betyls in the Arabian Peninsula and some of the earliest evidence for domestic cattle in northern Arabia.

Lower Levels of Classroom Aggression Predict Stronger Relations Between Peer Victimization and Reactive Versus Proactive Aggression.

We examined the concurrent relations of children's reactive and proactive aggression with their experience of peer victimization. Extending previous research, we assessed these relations at both the child and classroom levels. We predicted that reactive aggression would relate positively to peer victimization, proactive aggression would relate negatively to peer victimization, and that these relations would vary with classroom levels of aggression. Participants included 1,291 fourth- and fifth-grade children (681 girls; M age = 10.14 years) and their 72 teachers from 9 schools in one public school district in the Mid-Atlantic United States. Children completed self-report measures of peer victimization and teachers completed measures of aggression for each child in their classrooms. Via two-level regression (level 1 = child; level 2 = classroom), reactive aggression related positively to peer victimization and proactive aggression related negatively to peer victimization. The positive relation between reactive aggression and peer victimization was only significant in classrooms with low levels of reactive aggression. The negative relation between proactive aggression and peer victimization was only significant in classrooms with low levels of proactive aggression. Our hypotheses were supported and offered further evidence for differential relations of reactive and proactive aggression with peer victimization at the child level, while demonstrating the important role of classroom norms for aggression in moderating these relations.

Using Three Reporters to Identify Pre-Adolescent Peer Victims through Latent Profile Analysis.

The goals of the current study were to use a three-reporter methodology and multi-level Latent Profile Analysis: (a) to determine the victim groups that emerge; (b) to evaluate the stability of victim groups over one school year; and (c) to examine differences among victim groups across the adjustment constructs of aggression, depression, anxiety, and negative peer relations. Our sample included 1440 racially/ethnically diverse 4th- and 5th-grade children (Mage = 10.15; 50% female). At the beginning (T1) and end (T2) of the school year, children completed both self and peer reports of victimization, teachers reported on students' victimization, and we collected data from multiple reporters on aggression, depression, anxiety, and negative peer relations. At T1, two groups emerged: non-victims (low across all reporters) and victims (high across all reporters). At T2, four groups emerged: non-victims (low across all reporters), moderate victims (moderate across all reporters), discordant high victims (high on self report, very high on peer report, moderate on teacher report), and concordant high victims (high across all reporters). The stability of victim groups from T1 to T2 was largely driven by non-victims; T1 victims dispersed fairly evenly across the four groups at T2. In term of adjustment, non-victims fared best across time points and adjustment constructs. At T2, the three victim groups increased in maladjustment from moderate victims to discordant high victims to concordant high victims. These findings support the use of three-reporter assessment and a multi-level LPA approach to identify children victimized by their peers.

Implementation of targeted mental health interventions in urban schools: Preliminary findings for impact of training strategy on program fidelity.

School-based mental health programs are increasingly recognized as methods by which to improve children's access to evidence-based practices (EBPs), particularly in urban under resourced communities. School-wide positive behavior interventions and supports (PBIS) is one approach to integrating mental health services into school-based programming; however, school providers require training and support to implement programs as intended. We have conducted a randomized controlled trial to compare two models for training school-based personnel to deliver group EBPs to children at high risk of developing internalizing or externalizing problems. School personnel (N = 24) from 6 schools in a large urban school district were trained with either a basic training and consultation strategy, or an enhanced training and consultation strategy. Preliminary findings show that the enhanced strategy resulted in 9% higher content fidelity than the basic strategy. School personnel who were switched to the basic strategy had slightly lower content fidelity for the last two years of the trial and school personnel who continued to receive basic consultation during the step-down phase saw their fidelity decline. The two conditions did not differ with regard to process fidelity.

Group CBT for Externalizing Disorders in Urban Schools: Effect of Training Strategy on Treatment Fidelity and Child Outcomes.

Public schools are an ideal setting for the delivery of mental health services to children. Unfortunately, services provided in schools, and more so in urban schools, have been found to lead to little or no significant clinical improvements. Studies with urban school children seldom report on the effects of clinician training on treatment fidelity and child outcomes. This study examines the differential effects of two levels of school-based counselor training: training workshop with basic consultation (C) vs. training workshop plus enhanced consultation (C+) on treatment fidelity and child outcomes. Fourteen school staff members (counselors) were randomly assigned to C or C+. Counselors implemented a group cognitive behavioral therapy protocol (Coping Power Program, CPP) for children with or at risk for externalizing behavior disorders. Independent coders coded each CPP session for content and process fidelity. Changes in outcomes from pre to post were assessed via a parent psychiatric interview and interviewer-rated severity of illness and global impairment. Counselors in C+ delivered CPP with significantly higher levels of content and process fidelity compared to counselors in C. Both C and C+ resulted in significant improvement in interviewer-rated impairment; the conditions did not differ from each other with regard to impairment. Groups did not differ with regard to pre- to- posttreatment changes in diagnostic severity level. School-based behavioral health staff in urban schools are able to implement interventions with fidelity and clinical effectiveness when provided with ongoing consultation. Enhanced consultation resulted in higher fidelity. Enhanced consultation did not result in better student outcomes compared to basic consultation. Implications for resource allocation decisions with staff training in EBP are discussed.

Caregivers' Advice and Children's Bystander Behaviors During Bullying Incidents.

Many bullying prevention programs take a bystander approach, which encourages children to intervene when they are bystanders to bullying incidents. Little is known about how caregivers' advice to children might promote or undermine the positive bystander behaviors targeted by these programs. Accordingly, the aim of the current study was to investigate relations between caregivers' advice and children's bystander behavior during bullying situations. Participants were 106 racially/ethnically diverse 4th- and 5th-grade students (M age = 10.5 years, SD = .71 years), their classmates, and their caregivers. During classroom visits, peers reported on children's bystander behaviors. During home visits, caregivers and children completed a coded interaction task in which caregivers advised children about how to respond to bullying situations at school. Results suggested that (a) bystander intervention was positively predicted by caregivers' advice to help/comfort the victim, (b) bystander passivity was positively predicted by caregivers' advice to not intervene and negatively predicted by caregivers' advice to help/comfort the victim, and (c) bystander reinforcement/assistance of the bully was positively predicted by caregivers' advice not to intervene and not to tell adults. Results support a link between caregivers' advice at home and children's corresponding behavior when they are bystanders to bullying situations at school. These results emphasize the importance of collaboration between families and schools to reduce school bullying. Implications and directions for future research are discussed.

Teacher factors contributing to dosage of the KiVa anti-bullying program.

The KiVa Anti-Bullying Program (KiVa) seeks to meet the growing need for anti-bullying programming through a school-based, teacher-led intervention for elementary school children. The goals of this study were to examine how intervention dosage impacts outcomes of KiVa and how teacher factors influence dosage. Participants included 74 teachers and 1409 4th- and 5th-grade students in nine elementary schools. Teachers and students completed data collection at the beginning and end of the school year, including measures of bullying and victimization, correlates of victimization (depression, anxiety, peer rejection, withdrawal, and school avoidance), intervention cognitions/emotions (anti-bullying attitudes, and empathy toward victims), bystander behaviors, and teacher factors thought to relate to dosage (self-efficacy for teaching, professional burnout, perceived principal support, expected effectiveness of KiVa, perceived feasibility of KiVa). The dosage of KiVa delivered to classrooms was measured throughout the school year. Results highlight dosage as an important predictor of change in bullying, victimization, correlates of victimization, bystander behavior, and intervention cognitions/emotions. Of the teacher factors, professional burnout uniquely predicted intervention dosage. A comprehensive structural equation model linking professional burnout to dosage and then to child-level outcomes demonstrated good fit. Implications for intervention design and implementation are discussed.