Ballastic signature identification systems study

The results are described of an attempt to establish a uniform procedure for documenting (recording) expended bullet signatures as effortlessly as possible and to build a comprehensive library of these signatures in a form that will permit the automated comparison of a new suspect bullet with the prestored library. The ultimate objective is to achieve a standardized format that will permit nationwide interaction between police departments, crime laboratories, and other interested law enforcement agencies

The impact of victim-perpetrator relationship, reputation, and initial point of resistance on officers’ responsibility and authenticity ratings towards hypothetical rape cases

Purpose: Previous studies suggest that judgments of responsibility and authenticity made towards hypothetical rape cases differ when specific case factors are varied. However, few studies have examined whether police officers exhibit similar variations in judgment. Methods: Sixteen vignettes depicting a hypothetical rape scenario were created. Vignettes varied on victim-perpetrator relationship, victim reputation, and initial point of resistance. Police officers from a large police force in the United Kingdom (n = 808) provided judgments of victim and perpetrator responsibility, as well as rape authenticity. Results: Officers rated perpetrators as less responsible and gave lower rape authenticity ratings when a partner was the perpetrator, and in ‘late’ resistance scenarios. Officers rated victims as more responsible in ‘bad’ reputation conditions and in ‘late’ resistance conditions. Additional effects of officer sex and receipt of specialist training were also found (i.e., male officers rated the victim as more responsible than female officers), as were several interactions between factors. Conclusions: Results suggest that police officers in the UK may judge victims of rape differentially based on extra-legal case factors. The potential impact on the investigation of rape cases is discussed, and a recommendation for thorough and prompt review of specialist and non-specialist training is made

The Influence of ‘high’ vs. ‘low’ rape myth acceptance on police officers’ judgements of victim and perpetrator responsibility, and rape authenticity

Purpose: Previous studies suggest that officers’ level of rape myth acceptance (RMA) is predictive of their case decision making and judgements towards victim-survivors. However, few studies have directly assessed the relationship between RMA and responsibility and authenticity judgments. Methods: 808 UK police officers categorised as ‘high’ or ‘low’ in rape myth acceptance made judgements of victim and perpetrator responsibility, and case authenticity, towards one of 16 vignettes depicting a hypothetical rape scenario varying on victim-perpetrator relationship, victim reputation, and initial point of resistance. Results: Officers categorised as ‘high’ in RMA rated victims as more responsible, perpetrators as less responsible, and cases as less authentic than those deemed to be ‘low’ in RMA. When rape-myth related factors were present, both individually and in combination, judgements by officers ‘high’ in RMA were more negative than those ‘low’ in RMA. Conclusions: Results suggest that officers ‘high’ in RMA may judge victims of rape differently to those ‘low’ in RMA, particularly when rape myth-related extra-legal case factors are present. The potential implications for training and selection are discussed

Van der Waals interactions in DFT made easy by Wannier functions

Ubiquitous Van der Waals interactions between atoms and molecules are important for many molecular and solid structures. These systems are often studied from first principles using the Density Functional Theory (DFT). However, the commonly used DFT functionals fail to capture the essence of Van der Waals effects. Many attempts to correct for this problem have been proposed, which are not completely satisfactory because they are either very complex and computationally expensive or have a basic semiempirical character. We here describe a novel approach, based on the use of the Maximally-Localized Wannier functions, that appears to be promising, being simple, efficient, accurate, and transferable (charge polarization effects are naturally included). The results of test applications are presented.Comment: submitted to Phys. Rev. Let

Investigating the demographic and attitudinal predictors of rape myth acceptance in U.K. Police officers: developing an evidence-base for training and professional development

Efforts to understand rape myth acceptance (RMA) as a cognitive framework in police, unifying key cognitive/attitudinal and demographic factors into one coherent model, are lacking. Using a cross-sectional survey design, predictors of RMA were assessed by linear hierarchical regression, including demographic (age, length of service, gender, experience of specialist rape investigation training) and attitudinal factors (hostility towards women, sexist attitudes, and explicit power/sex beliefs) among officers from a large U.K. police force (N = 912). The final model explained 44% of variance in RMA. Gender and previous specialist training significantly predicted RMA, but to a much lesser extent than attitudinal variables, which explain 42% of RMA variance. Only specialist rape investigation training remained significant when attitudinal variables were added. The greater contribution from attitudinal variables suggests that efforts to address RMA in officers must consider the broader attitudinal structures underpinning RMA. Findings highlight implications for evidence- based training for rape investigators

An integrated approach to system design, reliability, and diagnosis

The requirement for ultradependability of computer systems in future avionics and space applications necessitates a top-down, integrated systems engineering approach for design, implementation, testing, and operation. The functional analyses of hardware and software systems must be combined by models that are flexible enough to represent their interactions and behavior. The information contained in these models must be accessible throughout all phases of the system life cycle in order to maintain consistency and accuracy in design and operational decisions. One approach being taken by researchers at Ames Research Center is the creation of an object-oriented environment that integrates information about system components required in the reliability evaluation with behavioral information useful for diagnostic algorithms. Procedures have been developed at Ames that perform reliability evaluations during design and failure diagnoses during system operation. These procedures utilize information from a central source, structured as object-oriented fault trees. Fault trees were selected because they are a flexible model widely used in aerospace applications and because they give a concise, structured representation of system behavior. The utility of this integrated environment for aerospace applications in light of our experiences during its development and use is described. The techniques for reliability evaluation and failure diagnosis are discussed, and current extensions of the environment and areas requiring further development are summarized

A diagnosis system using object-oriented fault tree models

Spaceborne computing systems must provide reliable, continuous operation for extended periods. Due to weight, power, and volume constraints, these systems must manage resources very effectively. A fault diagnosis algorithm is described which enables fast and flexible diagnoses in the dynamic distributed computing environments planned for future space missions. The algorithm uses a knowledge base that is easily changed and updated to reflect current system status. Augmented fault trees represented in an object-oriented form provide deep system knowledge that is easy to access and revise as a system changes. Given such a fault tree, a set of failure events that have occurred, and a set of failure events that have not occurred, this diagnosis system uses forward and backward chaining to propagate causal and temporal information about other failure events in the system being diagnosed. Once the system has established temporal and causal constraints, it reasons backward from heuristically selected failure events to find a set of basic failure events which are a likely cause of the occurrence of the top failure event in the fault tree. The diagnosis system has been implemented in common LISP using Flavors