An investigation into the enhancement of fingermarks in blood on fruit and vegetables

A number of studies have reported the successful enhancement of latent fingermarks on fruit and vegetables. A study was set up to identify the most effective technique for the enhancement of fingermarks in blood on various fruit and vegetables. The enhancement techniques targeted different components in blood and consisted of protein stains (e.g. acid black 1), peroxidase reagents (e.g. leuco crystal violet) and amino acid stains (e.g. ninhydrin). Different variables such as the ageing periods of the marks and a diminishing series were employed to assess the suitability and sensitivity of the enhancement techniques.Overall, the use of different protein stains appeared to be the most effective techniques for the enhancement of fingermarks in blood on fruit and vegetables. In addition, the aubergine and cucumber skins appeared to be the most responsive surface to the different chemical techniques during enhancement. On the contrary, little or no enhancement was achieved for fingermarks in blood on the nectarine fruit.     

Comment on Dowell Myers and Elizabeth Gearin's “current preferences and future demand for denser residential environments”: In praise…or at least acceptance…of ambiguity

Abstract

It is clear that attempts to discern consumer attitudes toward neighborhood form yield only ambiguity. Denser, more walkable residential environments are impossible to define in a universally applicable manner because of the unique characteristics of an individual neighborhood and its relationship to a region's climate, tradition, and heritage. Consumer preferences are likewise ambiguous and contradictory; this is simply due to many Americans’ lack of personal familiarity with compact, walkable neighborhoods.     

Preliminary Validation of Handheld X‐Ray Fluorescence Spectrometry: Distinguishing Osseous and Dental Tissue from Nonbone Material of Similar Chemical Composition

One of the tasks of a forensic anthropologist is to sort human bone fragments from other materials, which can be difficult when dealing with highly fragmented and taphonomically modified material. The purpose of this research is to develop a method using handheld X‐ray fluorescence (HHXRF) spectrometry to distinguish human and nonhuman bone/teeth from nonbone materials of similar chemical composition using multivariate statistical analyses. The sample materials were derived primarily from previous studies: human bone and teeth, nonhuman bone, nonbiological materials, nonbone biological materials, and taphonomically modified materials. The testing included two phases, testing both the reliability of the instrument and the accuracy of the technique. The results indicate that osseous and dental tissue can be distinguished from nonbone material of similar chemical composition with a high degree of accuracy (94%). While it was not possible to discriminate rock apatite and synthetic hydroxyapatite from bone/teeth, this technique successfully discriminated ivory and octocoral.     

A Theoretical Analysis of Alcohol Regulation and Drinking-Related Economic Crime

Alcohol consumption is widely believed to influence criminal activity, and numerous sociological, criminological, and psychological studies demonstrate an apparent positive correlation between drinking and crime. Using a multiattribute model of offender and victim behavior, this study examines the theoretical effects of changes in the price of alcohol on the incidence of crimes committed for economic gain. It is shown that in the general case price effects do not result in an unambiguous decrease in the rates of crime or victimization even when the models are constructed to impose a bias towards the finding of a causal negative price effect. Using a modified model of the drinking offender that imposes even further structure on the model, it is shown that the realization and magnitude of a negative equilibrium alcohol price effect will likely depend upon the implementation of complementary alcohol control policies. The implications of the theoretical analysis to policy implementation and empirical research are also considered.     

An investigation into the empirical relationship between time with peers,friendship, and delinquency

Purpose

Much of the research on peer influence has examined the relationship between peer associations and delinquency. Relatively little empirical research has addressed the effects of delinquent behavior on peer intimacy and time spent with peers. Our research attempts to fill these gaps in the literature as we hypothesize that, net of peer delinquency, delinquents spend more time with their peers but are less closely attached to their peers.

Methods

Using data from two waves of the National Youth Survey (NYS), we present two sets of regression models to account for selection bias resulting from whether respondents reported having friends. To assess the stability of our findings, we supplement our presented findings with extensive use of alternate estimation strategies.

Results

Conclusions regarding our hypotheses do not vary by estimation strategy. Delinquents spend more time with their peers, but delinquents and non-delinquents do not report differences in closeness to their peers.

Conclusions

Given our control variables, our finding introduces complexity in the causal priority between time spent with peers and delinquency. Prior delinquency may be a predictor of more time with peers, but partly as an avenue for opportunities for crime, not for the sake of friendship.     

Raman spectroscopy and laser desorption mass spectrometry for minimal destructive forensic analysis of black and color inkjet printed documents

Inkjet ink analysis is the best way to discriminate between printed documents, or even though more difficult, to connect an inkjet printed document with a brand or model of printers. Raman spectroscopy and laser desorption mass spectrometry (LDMS) have been demonstrated as powerful tools for dyes and pigments analysis, which are ink components. The aim of this work is to evaluate the aforementioned techniques for inkjet inks analysis in terms of discriminating power, information quality, and nondestructive capability. So, we investigated 10 different inkjet ink cartridges (primary colors and black), 7 from the HP manufacturer and one each from Epson, Canon and Lexmark. This paper demonstrates the capabilities of three methods: Raman spectroscopy, LDMS and MALDI-MS. Raman spectroscopy, as it is preferable to try the nondestructive approach first, is successfully adapted to the analysis of color printed documents in most cases. For analysis of color inkjet inks by LDMS, we show that a MALDI matrix (9-aminoacridine, 9AA) is needed to desorb and to ionize dyes from most inkjet inks (except Epson inks). Therefore, a method was developed to apply the 9AA MALDI matrix directly onto the piece of paper while avoiding analyte spreading. The obtained mass spectra are very discriminating and lead to information about ink additives and paper compositions. Discrimination of black inkjet printed documents is more difficult because of the common use of carbon black as the principal pigment. We show for the first time the possibility to discriminate between two black-printed documents coming from different, as well as from the same, manufacturers. Mass spectra recorded from black inks in positive ion mode LDMS detect polyethylene glycol polymers which have characteristic mass distributions and end groups. Moreover, software has been developed for rapid and objective comparison of the low mass range of these positive mode LDMS spectra which have characteristic unknown peaks.     

Duel or Dual: An Interdisciplinary Approach to Parenting Coordination for Uber‐Conflicted Parenting Relationships

Parenting coordination for families struggling with severe conflict can be challenging for both the family and the parenting coordinator (PC). These families can put an inordinate strain on the PC as they lobby their positions and try to bias the PC against the other parent. The interdisciplinary dual‐PC model is an innovative approach using aspects of the collaborative practice model to enhance the efficacy of the process while utilizing the strengths of both disciplines. Through a case illustration, the identification of the family dynamics and situations that give rise to use of this approach shall become clear. This article also demonstrates the potential benefits to both the family and the PCs. All aspects synthesize into a cohesive, well‐balanced approach to the uber‐conflicted parenting relationships.     

The Analysis of Bounded Count Data in Criminology

Background

Criminological research utilizes several types of delinquency scales, including frequency counts and, increasingly, variety scores. The latter counts the number of distinct types of crimes an individual has committed. Often, variety scores are modeled via count regression techniques (e.g., Poisson, negative binomial), which are best suited to the analysis of unbounded count data. Variety scores, however, are inherently bounded.

Methods

We review common regression approaches for count data and then advocate for a different, more suitable approach for variety scores—binomial regression, and zero-inflated binomial regression, which allow one to consider variety scores as a series of binomial trials, thus accounting for bounding. We provide a demonstration with two simulations and data from the Fayetteville Youth Study.

Conclusions

Binomial regression generally performs better than traditional regression models when modeling variety scores. Importantly, the interpretation of binomial regression models is straightforward and related to the more familiar logistic regression. We recommend researchers use binomial regression models when faced with variety delinquency scores.

     

Cyberbullying Among Chilean Students and the Protective Effects of Positive School Communities

Cyberbullying is a type of bullying that involves the use of technology to harm other students. Most researchers have examined individual-level characteristics, but the perception of school climate and school characteristics such as type, size, and level of vulnerabilities have not been considered using multilevel methods. Using a sample of 8,237 Chilean seventh graders from 1,322 schools we examined individual- and school-level predictors of cyberbullying perpetration. Cyberbullying perpetration was predicted by prior victimization, interpersonal relationships, and gender. We found an interaction effect between interpersonal relationships and teacher support for victims. Our findings support the notion that school policies and culture can play a vital role in the prevention of cyberbullying, supporting a protective resilience model.