A Group Randomized Trial of School-Based Teen Courts to Address the School to Prison Pipeline,Reduce Aggression and Violence,and Enhance School Safety in Middle and High School Students

ABSTRACT

This study evaluated the efficacy of School-Based Teen Courts (SBTCs) using a rigorous experimental trial with 24 middle- and high-schools randomly selected to receive SBTCs (n= 12) or to business-as-usual without any SBTC program (n = 12). Analyses examined school-level longitudinal growth models and individual-level pretest-posttest comparisons on school climate, student problems, and suspension rates. Longitudinal growth models revealed that SBTCs were significantly associated with positive changes in school satisfaction and reductions in delinquent friends for high school students, but showed no significant changes on other outcomes. Short-term suspensions decreased more than twice as much in SBTC schools versus comparison schools. There was a 47% reduction in bullying victimization in SBTC schools relative to a 22% reduction in comparison schools. These findings suggest that SBTCs have the potential to positively impact youth development.     

Relevance analysis using revision identifier in MS word

Electronic documents often contain personal or confidential information, which can be used as valuable evidence in criminal investigations. In the digital investigation, special techniques are required for grouping and screening electronic documents, because it is challenging to analyze relationships between numerous documents in storage devices manually. To this end, although techniques such as keyword search, similarity search, topic modeling, metadata analysis, and document clustering are continually being studied, there are still limitations for revealing the relevance of documents. Specifically, metadata used in previous research are not always values present in the documents, and clustering methods with specific keywords may be incomplete because text‐based contents (including metadata) can be easily modified or deleted by users. In this work, we propose a novel method to efficiently group Microsoft Office Word 2007+ (MS Word) files by using revision identifier (RSID). Through a thorough understanding of the RSID, examiners can predict organizations to which a specific user belongs, and further, it is likely to discover unexpected interpersonal relationships. An experiment with a public dataset (GovDocs) provides that it is possible to categorize documents more effectively by combining our proposal with previously studied methods. Furthermore, we introduce a new document tracking method to understand the editing history and movement of a file, and then demonstrate its usefulness through an experiment with documents from a real case.     

Risk and Protective Factors for Peer Victimization in Adolescents with ADHD

ABSTRACT

Youth with ADHD are more at-risk for peer victimization than their typically developing peers, and may not be benefiting from current interventions. Thus, we sought to examine risk (i.e., anxiety, depression, and forms of aggression) and protective (i.e., social skills and social acceptance) factors for peer victimization in this group. Participants were 123 young adolescents diagnosed with ADHD, who were attending grades six through eight. We found that relational aggression (i.e., excluding others from activities) and anxiety symptoms were among the strongest risk factors for victimization. Anxiety symptoms were associated with victimization over and above depressive symptoms. Social acceptance buffered risk conferred by the risk factors. Future work is needed to investigate the degree to which the relations among internalizing symptoms and victimization differ in youth with ADHD relative to typically developing youth, and assess causality of the relations.     

Increasing Community College Completion Rates Among Low-Income Students: Evidence from a Randomized Controlled Trial Evaluation of a Case-Management Intervention

Community college completion rates are low, especially among low-income students. The existing policy and research attention has primarily focused on academic and financial challenges, but there is ample reason to think that non-academic obstacles might be key drivers of dropout rates for low-income students. This study focuses on the role of “life barriers” and investigates the effectiveness of intensive case-management services for low-income community college students. We evaluate the impact of the Stay the Course (STC) intensive case-management program through a multi-armed randomized controlled trial evaluation conducted between 2013 and 2016 in Fort Worth, Texas. Analysis of administrative records indicates that STC significantly increased persistence and degree completion for women; estimates for the full sample are imprecise. The statistically significant estimates for women imply that STC tripled associate's degree receipt by 31.5 percentage points. We find no difference in outcomes between students in an emergency financial assistance (EFA) only treatment arm and the control group. Given program costs of $4,343 per person, the implied cost per additional associate's degree is $27,140. This study complements existing literature on financial and informational interventions designed to increase completion rates and is most closely related to the smaller literature examining coaching and mentoring interventions.     

A visualization approach to prioritizing insurance claims from complex,multi-PRP Superfund sites

Abstract

The severity of environmental insurance claims related to large multi-PRP Superfund sites has grown over the last 30?years. When an insured files a Superfund-related claim, allocated costs to the insured are typically unknown. Assessing the insured’s likely share of future cleanup costs is challenging. This article proposes a simple approach that allows claims professionals to visualize where their insured stands relative to other PRPs' potential allocation of cleanup costs. The resulting color-coded “heat map” allows claims professionals to easily assess and prioritize potential insured losses. It also provides a starting point for settlement negotiations, thus reducing frictional costs.     

Sexual Assault Victimization,Fear of Sexual Assault,and Self-Protective Behaviors: A Test of General Strain Theory

According to Agnew’s General Strain Theory, many individuals who experience strain are more likely to engage in crime or become delinquent. To date, past research has examined the relationship between victimization and fear of crime, as well as the corresponding relationship between fear of crime and self-protective behaviors. Yet, the mediating role fear of sexual assault may have in accounting for the association between prior sexual assault victimization and self-protective behaviors has not been evaluated. The current study addresses this gap in the literature using data collected from a random sample of college students from 12 universities in the United States. The results indicated that the relationship between prior sexual assault victimization and self-protective behavior is partially mediated by fear of sexual assault. The study concludes with a discussion of implications and limitations, as well as directions for future research.     

Ministerial Leadership and Endorsement of Bureaucrats: Experimental Evidence from Presidential Governments

Scholars have debated what constitutes effective ministerial leadership with respect to administrative competence versus political influence. The authors contribute experimental evidence to this debate through a unique survey design of endorsement experiments. Using original data from 949 national civil servants in South Korea, this article examines civil servants’ assessments of ministerial leadership in three central dimensions of public management: internal management, interbranch coordination, and policy formulation/implementation. Further, existing variation in the characteristics of agencies is used to test whether such variation induces systematic differences in civil servants’ responses. Findings show that that civil servants’ attitudes toward ministerial leadership are asymmetric in nature. Ministers with civil service backgrounds are endorsed in all three dimensions, whereas ministers with legislative backgrounds receive increased support only for interbranch coordination skills. The levels of support for ministers with different backgrounds also vary across agency types. This analysis has implications for public management practice and agency control in presidential governments.     

Comparing the Life-Cycle Costs of New Construction and Acquisition-Rehab of Affordable Multifamily Rental Housing

The cost of producing multifamily affordable housing may differ based on development type. Past attempts to compare the costs of producing multifamily housing through new construction or acquisition-rehab have been limited by an inability to adjust for variations in unit quality among different projects. The authors overcome this challenge by estimating the costs of developing and maintaining a property over a 50-year life cycle. Applying this approach to a convenience sample of 269 properties, the authors find new construction associated with life-cycle costs that are 25% to 45% higher than those of acquisition-rehab.     

Classification algorithm using halftone features of counterfeit bills and CNN

With recent advancements in image processing and printing technology, home printers have improved in performance and grown more widespread. As such, they have been increasingly used in counterfeiting and forgery. Most counterfeit bills in Korea have been created using home scanners and printers. The identification of printer model is thus necessary to rapidly track down criminals and solve crimes. Household printers can be largely divided into inkjet and laser printers. These two types of printers print halftone textures instead of continuous images. This study proposed a technique of printer classification based on halftone textures that can be observed in printed documents. Since halftone textures are expressed as periodic lattices, the images were transformed via FFT, which is highly effective at expressing periodicity. ResNet, known for its superior gradient flow, was used for training. The experiment was conducted on 12 color laser jets and 2 inkjets. Scans of bills printed by each printer were used, and halftone texture analysis was performed on these images for printer model classification. Each image was cropped into several parts; one of the cropped parts was analyzed. The analysis showed that laser printers could be 100% distinguished from inkjet printers. An accuracy of 98.44% was achieved in make classification. When 50 cropped images were used instead of a single image, the technique achieved 100% accuracy in model classification. The proposed technique is non-destructive; it offers high accessibility and efficiency as it can be performed using a scanner alone, without requiring additional optical equipment.