Preventing child abuse: a review of community-based projects II: Issues arising from reviews and future directions

Detailed examination of evaluated community programmes for the prevention of physical child abuse and neglect shows that success depends on matching the skills of the staff to the needs of the families. The relative inefficiency of risk screening and attrition from prevention programmes argues for comprehensive as well as focused aspects of programmes and variation in which is available. Sexual abuse prevention programmes have usually been implemented in schools but are more successful when the focus includes bullying and when children and parents are also actively involved. This is also true of bullying programmes. In establishing risk for abuse, more effective methods are required to assess aspects of family life that are not readily observable, including involved but non-resident adult males. It is important not only to approach abuse prevention by intervening in different ways and at different points in the network of processes within and around the family, but also to find cost-effective ways of sustaining preventative efforts. © 1998 John Wiley & Sons, Ltd.     

Lean Six Sigma approach in an Indian auto ancillary conglomerate: a case study

The purpose of this article is to illustrate how Lean Six Sigma (LSS) methodology was applied to an Auto ancillary conglomerate in India for achieving operational excellence. The research reported in this paper is based on a case study carried out using LSS methodology in improving yield of a semi-automated transfer line process of the organisation. The root causes for the problem were identified and validated through data based analysis from LSS tool box, at different stages in the study. The application of LSS methodology resulted in reduction of drilling defects while machining injector bodies and reduced the Defects Per Million Opportunities from 38,000 to 5600. The application of this methodology had a significant financial impact (saving of about INR 1.4 million per annum) on the bottom-line of the company.     

Effects of Dynamic Attributes of Smiles in Human and Synthetic Faces: A Simulated Job Interview Setting

We examined the effects of the temporal quality of smile displays on impressions and decisions made in a simulated job interview. We also investigated whether similar judgments were made in response to synthetic (Study 1) and human facial stimuli (Study 2). Participants viewed short video excerpts of female interviewees exhibiting dynamic authentic smiles, dynamic fake smiles, or neutral expressions, and rated them with respect to a number of attributes. In both studies, perceivers’ judgments and employment decisions were significantly shaped by the temporal quality of smiles, with dynamic authentic smiles generally leading to more favorable job, person, and expression ratings than dynamic fake smiles or neutral expressions. Furthermore, authentically smiling interviewees were judged to be more suitable and were more likely to be short-listed and selected for the job. The findings show a high degree of correspondence in the effects created by synthetic and human facial stimuli, suggesting that temporal features of smiles similarly influence perceivers’ judgments and decisions across the two types of stimulus.

Midnight regulations and the Cinderella effect

Recent studies have shown preliminary evidence of a tendency for outgoing administrations to generate a flurry of last-minute regulatory activity. This so-called Cinderella effect is described as resulting from the combination of an administration being in power yet, because it is out-going, not being subject to political ramifications from its actions. In this paper, we look at monthly regulatory activity over the past 30 years and compare the baseline growth in regulations (measured using the proxy of pages in the Federal Register) to the growth immediately following a Presidential election when the sitting President is re-elected, not re-elected, and when the party in control of the White House changes. We find significant evidence supporting the existence of a Cinderella effect.     

An approach for finding fully Bayesian optimal designs using normal-based approximations to loss functions

The generation of decision-theoretic Bayesian optimal designs is complicated by the significant computational challenge of minimising an analytically intractable expected loss function over a, potentially, high-dimensional design space. A new general approach for approximately finding Bayesian optimal designs is proposed which uses computationally efficient normal-based approximations to posterior summaries to aid in approximating the expected loss. This new approach is demonstrated on illustrative, yet challenging, examples including hierarchical models for blocked experiments, and experimental aims of parameter estimation and model discrimination. Where possible, the results of the proposed methodology are compared, both in terms of performance and computing time, to results from using computationally more expensive, but potentially more accurate, Monte Carlo approximations. Moreover, the methodology is also applied to problems where the use of Monte Carlo approximations is computationally infeasible.     

Ethical issues in tracking cellular telephones at an event

Early in 2007, the CSIR conducted an experiment to track the cellular telephones of a small group of people as they moved to and from an event, to test the viability of using such tracking to provide the participants with useful traffic information. This project raised a number of ethical issues, which prompted this paper and which we discuss here. These include:

• the ethics of modelling data, including the treatment of research participants;

• privacy and surveillance issues related to tracking the movement of people;

• the risks inherent in being tracked vs the benefits of being tracked; and

• the ethics related to sending messages to drivers.

We have reviewed the literature on ethics and used the results to assemble a check list of relevant ethical issues, adding a few of our own (i.e. a deontological ethics approach), against which the conduct of this research project was assessed. We also provide an overview of the experiment and the results obtained.     

Advances on a Decision Analytic Approach to Exposure-Based Chemical Prioritization

The volume and variety of manufactured chemicals is increasing, although little is known about the risks associated with the frequency and extent of human exposure to most chemicals. The EPA and the recent signing of the Lautenberg Act have both signaled the need for high-throughput methods to characterize and screen chemicals based on exposure potential, such that more comprehensive toxicity research can be informed. Prior work of Mitchell et al. using multicriteria decision analysis tools to prioritize chemicals for further research is enhanced here, resulting in a high-level chemical prioritization tool for risk-based screening. Reliable exposure information is a key gap in currently available engineering analytics to support predictive environmental and health risk assessments. An elicitation with 32 experts informed relative prioritization of risks from chemical properties and human use factors, and the values for each chemical associated with each metric were approximated with data from EPA's CP_CAT database. Three different versions of the model were evaluated using distinct weight profiles, resulting in three different ranked chemical prioritizations with only a small degree of variation across weight profiles. Future work will aim to include greater input from human factors experts and better define qualitative metrics.     

A Lean Six Sigma framework for the reduction of ship loading commercial time in the iron ore pelletising industry

Evidence suggests that specifically designed frameworks to implement Lean Six Sigma (LSS) projects to tackle particular problems are more effective than ‘generic’ versions. This paper proposes an implementation framework to effectively deploy LSS to improve a key operation and performance indicator, i.e. ship loading commercial time, of one of the largest world producer of iron ore. This article therefore contributes with a refined framework to effectively implement LSS, and documents its successful application and effectiveness within the context of the case organisation. The LSS framework and project contributed in helping the studied organisation to improve both the capability of its ship loading process and commercial time by more than 30%, resulting in operational savings in the range of $300,000 USD per year. The systematic nature of the framework proposed also helped the organisation to establish a standardised routine to improve its operations. Managerial implications exposing the challenges faced during the implementation of LSS are also discussed to serve as lessons learnt to be considered in other LSS projects. Managers and engineers incharge of improving operations and processes can benefit from this paper as it can be used as a guide to direct the conduction of LSS projects and the empirical application of its principles and tools.