Neonaticide: A Comprehensive Review of Investigative and Pathologic Aspects of 55 Cases

Analysis of neonaticide cases from a law enforcement perspective is virtually non-existent in the research literature. Nonetheless, law enforcement and prosecutors face unique challenges when investigating and prosecuting neonaticide; and a specialized, informed approach is necessary. By highlighting the crime scene characteristics and autopsy findings of 55 neonaticide victims, the authors hope to assist the law enforcement and legal communities in their neonaticide investigations. Specifically, this article clarifies how neonaticide occurs by chronologically examining the pregnancy, the birth and death of the infant, the subsequent crime scene (or scenes) and the pathological findings. The article also highlights the potential challenges that may arise during investigation and prosecution of these cases in addition to providing the forensic community with recommended investigative techniques.     

Normative beliefs about aggression as a mediator of narcissistic exploitativeness and cyberbullying

The current study examined normative beliefs about aggression as a mediator between narcissistic exploitativeness and cyberbullying using two Asian adolescent samples from Singapore and Malaysia. Narcissistic exploitativeness was significantly and positively associated with cyberbullying and normative beliefs about aggression and normative beliefs about aggression were significantly and positively associated with cyberbullying. Normative beliefs about aggression were a significant partial mediator in both samples; these beliefs about aggression served as one possible mechanism of action by which narcissistic exploitativeness could exert its influence on cyberbullying. Findings extended previous empirical research by showing that such beliefs can be the mechanism of action not only in offline but also in online contexts and across cultures. Cyberbullying prevention and intervention efforts should include modification of norms and beliefs supportive of the legitimacy and acceptability of cyberbullying.     

Domestic violence and sexual assault service goal priorities

We investigated agency directors' perspectives about how service goals should be prioritized for domestic violence and sexual assault service subtypes, including crisis, legal advocacy, medical advocacy, counseling, support group, and shelter services. A sample of 97 (94% response rate) North Carolina domestic violence and/or sexual assault agency directors completed a survey asking participants to rank the importance of service goals. Overall, participants considered emotional support provision to be a critical service goal priority across all service types. Social support and self-care service strategies were deemed less important. However, prioritization of other service goals varied depending on the service type. Statistically significant differences on service goal prioritization based on key agency characteristics were also examined, and agency characteristics were found to relate to differences in service goal prioritization.     

The Helpseeking Experiences of Men Who Sustain Intimate Partner Violence: An Overlooked Population and Implications for Practice

For over 30 years, research has shown that men can and do sustain intimate partner violence (IPV) from their female partners. This is the first large-scale, nationally-based, quantitative study to systematically detail the helpseeking experiences of men who have sustained IPV from their female partners. The sample is composed of 302 men who were recruited from resources specializing in men’s issues. Results indicate that men who seek help for IPV victimization have the most positive experiences in seeking help from family/friends, and mental health and medical providers. They have the least positive experiences with members of the DV service system. Cumulative positive helpseeking experiences were associated with lower levels of abusing alcohol; cumulative negative experiences were associated with higher rates of exceeding a clinical cut-off for post-traumatic stress disorder. Results are discussed in terms of implications for the social service sector and for future research.     

Prior Victimization, Region, and Neighborhood Effects on Fear of Crime in Mumbai, India

Research in Western countries has found that prior victimization, region, and neighborhood effects, such as high population density, residential instability and low social cohesion as well as related characteristics such as litter, public drunkenness, and abandoned storefronts, are all significant predictors of fear of crime. The present study examined the extent to which these factors were associated with predicting fear of crime in one of the fastest growing economies in the world – India. Data from the International Crime Victimization Survey (ICVS), conducted under the auspices of the United Nations Interregional Crime and Justice Institute, suggest that, similar to findings from Western literature (with the exception of car theft and burglary), prior victimization is strongly related to fear of crime. However, contrary to findings from the Western literature, fear of crime appeared to be stronger among the middle classes than among the lower and higher classes. Moreover, limitations of the study and suggestions for future research are also discussed.     

Social capital, lobbying and community-based interest groups

Recent discussions of social capital within the public choice literature have tended to focus on its role in solving collective action problems and promoting political accountability. Consequently, two areas of inquiry remain underexplored: (1) the role social capital plays in facilitating lobbying and rent seeking, and (2) the possibility that the availability of government resources can cause community-based groups to re-orient their stocks of social capital away from mutual assistance and toward lobbying and rent seeking. This article examines the relationship between social capital and lobbying in New Orleans??s post-Katrina recovery.     

The Future of Consumer Web Data: A European/US Perspective

The article considers the subject of clickstream data from aEuropean/US perspective, taking into account the Data ProtectionFramework (Data Protection Directive 95/46/EC; Directive onPrivacy and Electronic Communications 2002/58/EC) and the USlegal framework and in particular, the Wiretap Act U.S.C. 2701(2004) and related statutes. It examines the extent to whichclickstream data is considered "personal data" within the DataProtection Directive and the implications to consumers and businesses.     

Patella sex determination by 3D statistical shape models and nonlinear classifiers

Sex determination is one of the essential steps in personal identification of an individual from skeletal remains. Most elements of the skeleton have been subjected to discriminant function analysis for sex estimation, but little work has been done in terms of the patella. This paper proposes a new sex determination method from the patella using a novel automated feature extraction technique. A dataset of 228 patellae (95 females and 133 males) was amassed from the William M. Bass Donated Skeletal Collection from the University of Tennessee and was subjected to noninvasive high resolution computed tomography (CT). After the CT data were segmented, a set of features was automatically extracted, normalized, and ranked. The segmentation process with surface smoothing minimizes the noise from enthesophytes and ultimately allows our methods to distinguish variations in patellar morphology. These features include geometric features, moments, principal axes, and principal components. A feature vector of dimension 45 for each subject was then constructed. A set of statistical and supervised neural network classification methods were used to classify the sex of the patellar feature vectors. Nonlinear classifiers such as neural networks have been used in previous research to analyze several medical diagnosis problems, including quantitative tissue characterization and automated chromosome classification. In this paper, different classification methods were compared. Classification success ranged from 83.77% average classification rate using labels from a Fuzzy C-Means (FCM) clustering step, to 90.3% for linear discriminant classification (LDC). We obtained results of 96.02% and 93.51% training and testing classification rates, respectively, using feed-forward backpropagation neural networks (NN). These promising results using newly developed features and the application of nonlinear classifiers encourage the usage of these methods in forensic anthropology for identifying the sex of an individual from incomplete skeletons retaining at least one patella.     

Research note: The founders and survivors project

This paper describes the multidisciplinary project Founders and Survivors: Australian Life Courses in Historical Context. Individual life courses, families and generations through the nineteenth and twentieth centuries are being reconstituted from a wide range of data including convict records; birth, death and marriage registrations; and World War I service records. The project will result in a longitudinal study of Australian settlement, the long-run effects of forced labour and emigration on health and survival, family formation, intergenerational morbidity and mortality, and social and geographic mobility.