DePaul University

About: DePaul University is a education organization based out in Chicago, Illinois, United States. It is known for research contribution in the topics: Population & Context (language use). The organization has 5658 authors who have published 11562 publications receiving 295257 citations.

Evidence-Based Psychosocial Treatments for Ethnic Minority Youth

Abstract: This article reviews research on evidence-based treatments (EBTs) for ethnic minority youth using criteria from Chambless et al. (1998), Chambless et al. (1996), and Chambless and Hollon (1998). Although no well-established treatments were identified, probably efficacious or possibly efficacious treatments were found for ethnic minority youth with anxiety-related problems, attention-deficit/hyperactivity disorder, depression, conduct problems, substance use problems, trauma-related syndromes, and other clinical problems. In addition, all studies met either Nathan and Gorman's (2002) Type 1 or Type 2 methodological criteria. A brief meta-analysis showed overall treatment effects of medium magnitude (d = .44). Effects were larger when EBTs were compared to no treatment (d = .58) or psychological placebos (d = .51) versus treatment as usual (d = .22). Youth ethnicity (African American, Latino, mixed/other minority), problem type, clinical severity, diagnostic status, and culture-responsive treatment status did not moderate treatment outcome. Most studies had low statistical power and poor representation of less acculturated youth. Few tests of cultural adaptation effects have been conducted in the literature and culturally validated outcome measures are mostly lacking. Recommendations for clinical practice and future research directions are provided.

Evaluating Complexity, Code Churn, and Developer Activity Metrics as Indicators of Software Vulnerabilities

Abstract: Security inspection and testing require experts in security who think like an attacker. Security experts need to know code locations on which to focus their testing and inspection efforts. Since vulnerabilities are rare occurrences, locating vulnerable code locations can be a challenging task. We investigated whether software metrics obtained from source code and development history are discriminative and predictive of vulnerable code locations. If so, security experts can use this prediction to prioritize security inspection and testing efforts. The metrics we investigated fall into three categories: complexity, code churn, and developer activity metrics. We performed two empirical case studies on large, widely used open-source projects: the Mozilla Firefox web browser and the Red Hat Enterprise Linux kernel. The results indicate that 24 of the 28 metrics collected are discriminative of vulnerabilities for both projects. The models using all three types of metrics together predicted over 80 percent of the known vulnerable files with less than 25 percent false positives for both projects. Compared to a random selection of files for inspection and testing, these models would have reduced the number of files and the number of lines of code to inspect or test by over 71 and 28 percent, respectively, for both projects.

Latent Semantic Analysis

Abstract: Latent semantic analysis (LSA) is a technique for comparing texts using a vector-based representation that is learned from a corpus This article begins with a description of the history of LSA and its basic functionality LSA enjoys both theoretical support and empirical results that show how it matches human behavior A number of the experiments that compare LSA with humans are described here The article also describes a few of the many successful applications of LSA to text-processing problems and finishes by presenting a number of current research directions

Organizational Absorptive Capacity and Responsiveness: An Empirical Investigation of Growth‐Oriented SMEs

Abstract: This study examines the relationship between firm absorptive capacity and organizational responsiveness in the context of growth–oriented small and medium–sized enterprises (SMEs). By testing the d...

For Slow Scholarship: A Feminist Politics of Resistance through Collective Action in the Neoliberal University

Abstract: The neoliberal university requires high productivity in compressed time frames. Though the neoliberal transformation of the university is well documented, the isolating effects and embodied work conditions of such increasing demands are too rarely discussed. In this article, we develop a feminist ethics of care that challenges these working conditions. Our politics foreground collective action and the contention that good scholarship requires time: to think, write, read, research, analyze, edit, organize, and resist the growing administrative and professional demands that disrupt these crucial processes of intellectual growth and personal freedom. This collectively written article explores alternatives to the fast-paced, metric-oriented neoliberal university through a slow-moving conversation on ways to slow down and claim time for slow scholarship and collective action informed by feminist politics. We examine temporal regimes of the neoliberal university and their embodied effects. We then consider strategies for slowing scholarship with the objective of contributing to the slow scholarship movement. This slowing down represents both a commitment to good scholarship, teaching, and service and a collective feminist ethics of care that challenges the accelerated time and elitism of the neoliberal university. Above all, we argue in favor of the slow scholarship movement and contribute some resistance strategies that foreground collaborative, collective, communal ways forward.