Social and Behavioral Sciences Commons^™

The Relationship Between Neighborhood Characteristics And Homicide In Karachi, Pakistan, Salma Hamza, Imran Khan, Linlin Lu, Hua Liu, Farkhunda Burke, Syed Nawaz-Ul-Huda, Muhammad Fahad Baqa, Aqil Tariq

Political Science & Geography Faculty Publications

The geographical concentration of criminal violence is closely associated with the social, demographic, and economic structural characteristics of neighborhoods. However, few studies have investigated homicide patterns and their relationships with neighborhoods in South Asian cities. In this study, the spatial and temporal patterns of homicide incidences in Karachi from 2009 to 2018 were analyzed using the local indicators of spatial association (LISA) method. Generalized linear modeling (GLM) and geographically weighted Poisson regression (GWPR) methods were implemented to examine the relationship between influential factors and the number of homicides during the 2009–2018 period. The results demonstrate that the homicide hotspot or …

Image Source Identification Using Convolutional Neural Networks In Iot Environment, Yan Wang, Qindong Sun, Dongzhu Rong, Shancang Li, Li Da Xu

Information Technology & Decision Sciences Faculty Publications

Digital image forensics is a key branch of digital forensics that based on forensic analysis of image authenticity and image content. The advances in new techniques, such as smart devices, Internet of Things (IoT), artificial images, and social networks, make forensic image analysis play an increasing role in a wide range of criminal case investigation. This work focuses on image source identification by analysing both the fingerprints of digital devices and images in IoT environment. A new convolutional neural network (CNN) method is proposed to identify the source devices that token an image in social IoT environment. The experimental results …

Evaluating Study Procedure Training Methods For A Remote Daily Diary Study Of Sexual Minority Women, Kristin E. Heron, Abby Braitman, Charlotte A. Dawson, Rachel I. Macintyre, Lindsay M. Howard, Robin J. Lewis

Psychology Faculty Publications

Background: Ecological momentary assessment (EMA) methods can be used to remotely assess physical and mental health in daily life for hard-to-reach, marginalized, and geographically dispersed populations in the U.S., such as sexual minority women (e.g., lesbian, bisexual). However, EMA studies are often complex, and engaging participants from afar can be a challenge. This study experimentally examined whether adding videos to written recruitment materials would improve consent rates, reduce dropout rates, and improve survey completion rates for an online daily diary study.

Methods: As part of a 2-week study of same-sex female couples' health, 376 women ages 18-35 were recruited from …