Consequences of introducing mandatory reporting legislation for child sexual abuse

To improve detection of child sexual abuse, many jurisdictions have enacted mandatory reporting laws requiring selected persons to report known and suspected cases. In Ireland, the Child First approach previously incorporated only a policy-based approach to reporting. Due to a perceived lack of efficacy, the Children First Bill was drafted in 2012 to shift this policy guidance to a legislative approach. What effects will the new legislative reporting duties have on numbers of reports, and outcomes of reports, of suspected child sexual abuse? This paper will shed light on these important questions by presenting results of analyses of the introduction of legislative reporting obligations in two Australian States. Three questions will be explored: 1. Does introducing reporting legislation result in enhanced detection of child sexual abuse? 2. Do different reporter groups have different patterns of reporting? 3. What do the patterns of report numbers and outcomes indicate for child protection systems and communities?

Elementary teachers’ knowledge of legislative and policy duties for reporting child sexual abuse

This study examined elementary school teachers’ knowledge of their legislative and policy-based reporting duties with respect to child sexual abuse. Data were collected from 470 elementary school teachers from urban and rural government and nongovernment schools in 3 Australian states, which at the time of the study had 3 different legislative reporting duties for teachers. Teachers completed the 8-part Teacher Reporting Questionnaire (TRQ). Multinomial logistic regression analysis was used to determine factors associated with (a) teachers’ legislation knowledge and (b) teachers’ policy knowledge. Teachers with higher levels of knowledge had a combination of pre- and in-service training about child sexual abuse and more positive attitudes toward reporting, held administration positions in their school, and had reported child sexual abuse at least once during their teaching career. They were also more likely to work in the state with the strongest legislative reporting duty, which had been in place the longest.

An evaluation of different features and learning models for anomalous event detection

The huge amount of CCTV footage available makes it very burdensome to process these videos manually through human operators. This has made automated processing of video footage through computer vision technologies necessary. During the past several years, there has been a large effort to detect abnormal activities through computer vision techniques. Typically, the problem is formulated as a novelty detection task where the system is trained on normal data and is required to detect events which do not fit the learned ‘normal’ model. There is no precise and exact definition for an abnormal activity; it is dependent on the context of the scene. Hence there is a requirement for different feature sets to detect different kinds of abnormal activities. In this work we evaluate the performance of different state of the art features to detect the presence of the abnormal objects in the scene. These include optical flow vectors to detect motion related anomalies, textures of optical flow and image textures to detect the presence of abnormal objects. These extracted features in different combinations are modeled using different state of the art models such as Gaussian mixture model(GMM) and Semi- 2D Hidden Markov model(HMM) to analyse the performances. Further we apply perspective normalization to the extracted features to compensate for perspective distortion due to the distance between the camera and objects of consideration. The proposed approach is evaluated using the publicly available UCSD datasets and we demonstrate improved performance compared to other state of the art methods.

The acute effects of eccentrically-biased versus conventional weight training in older adults : a randomised controlled cross-over study

Background Whilst resistance training has been proven to convey considerable benefits to older people; immediately post-exercise there may be elevated transient risks for cardiac events and falls. Objectives and Measurements We assessed the acute effects of eccentrically-biased (EB) and conventional (CONV) resistance exercise on: platelet number, activation and granule exocytsosis; and mean velocity of centre of pressure displacement (Vm). Design, Setting, Participants and Intervention Ten older adults (7 males, 3 females; 69 ± 4 years) participated in this randomised controlled cross-over study in which they performed EB and CONV training sessions that were matched for total work and a control condition. Results Immediately post-exercise there was a statistically significant difference in platelet count between the control condition, in which it fell (pre 224 ± 35 109/L; post 211 ± 30 109/L: P < 0.05) and CONV in which it increased (pre 236 ± 55 109/L; post 242 ± 51 109/L: P > 0.05). There was no change in platelet activation and granule exocytsosis or Vm following EB and CONV. Conclusions Overall, while minor differences between regimens were observed, no major adverse effect on parameters of platelet function or centre of pressure displacement were observed acutely following either regimen. Eccentrically-biased and conventional resistance exercise training regimens do not appear to present an elevated acute risk in the context of changes to platelet function contributing to a cardiac event or postural stability increasing falls risk for apparently healthy older adults.

Development of the child abuse and neglect reporting self-efficacy questionnaire for nurses

Taiwan nurses are mandated to report known or suspected child abuse and neglect (CAN), and self-efficacy is known to have an important influence on professional behaviors. The aim of this study was to develop and test the CAN reporting self-efficacy (CANRSE) scale as a measure of nurses’ self-efficacy to report CAN. A sample of 496 nurses from Southern Taiwanese hospitals used the CANRSE scale. The psychometric evaluation of the scale included content validity, exploratory and confirmatory factor analyses, convergent validity, as well as Cronbach’s α and test−retest reliability. Satisfactory internal consistency (Cronbach’s α = 0.92) and test−retest reliability were demonstrated. Confirmatory factor analysis supported the proposed models as having acceptable model fit. Exploratory factor analysis and regression analyses showed that the CANRSE scale had good construct validity and criterion-related validity, respectively. Convergent validity was tested using the general self-efficacy scale and was found to be satisfactory (r = 0.53). The results indicate the CANRSE is reliable and valid, and further testing of its predictive validity is recommended. It can be used to examine the influence of professional self-efficacy in recognizing and reporting CAN cases and to evaluate the impact of training programs aimed at improving CAN reporting.

Compliance with standard precautions and occupational exposure reporting among operating room nurses in Australia

Occupational exposures of healthcare workers tend to occur because of inconsistent compliance with standard precautions. Also, incidence of occupational exposure is underreported among operating room personnel. The purpose of this project was to develop national estimates for compliance with standard precautions and occupational exposure reporting practices among operating room nurses in Australia. Data was obtained utilizing a 96-item self-report survey. The Standard Precautions and Occupational Exposure Reporting survey was distributed anonymously to 500 members of the Australian College of Operating Room Nurses. The Health Belief Model was the theoretical framework used to guide the analysis of data. Data was analysed to examine relationships between specific constructs of the Health Belief Model to identify factors that might influence the operating room nurse to undertake particular health behaviours to comply with standard precautions and occupational exposure reporting. Results of the study revealed compliance rates of 55.6% with double gloving, 59.1% with announcing sharps transfers, 71.9% with using a hands-free sharps pass technique, 81.9% with no needle recapping and 92.0% with adequate eye protection. Although 31.6% of respondents indicated receiving an occupational exposure in the past 12 months, only 82.6% of them reported their exposures. The results of this study provide national estimates of compliance with standard precautions and occupational exposure reporting among operating room nurses in Australia. These estimates can now be used as support for the development and implementation of measures to improve practices in order to reduce occupational exposures and, ultimately, disease transmission rates among this high-risk group.

Perceptions that influence occupational exposure reporting

Statistics on health care workers' occupational exposures to bloodborne pathogens underestimate the true extent of the problem because of a tendency for underreporting. A descriptive correlational design was used to investigate compliance with standard precautions and occupational exposure reporting practices among perioperative nurses in Australia. The study found that although intention to report both percutaneous and mucocutaneous exposures was relatively high, mean compliance rates for actually reporting exposures incurred were considerably lower. The perception of barriers to reporting significantly influenced compliance.

Stored blood products augment inflammation in a two-event model of Transfusion Related Acute Lung Injury (TRALI)

Aim/Background TRALI is hypothesised to develop via a two-event mechanism involving both the patieint's underlying morbidity and blood product factors. The storage of cellular products has been implicated in cases of non-antibody mediated TRALI, however the pathophysiological mechanisms are undefined. We investigated blood product storage-related modulation of inflmmatory cells and medicators involved in TRALI. Methods In an in vitro mode, fresh human whole blood was mixed with culture media (control) or LPS as a 1st event and "transfused" with 10% (v/v) pooled supernatant (SN) from Day 1 (d1, n=75) or Day 42 (D42, n=113) packed red blood cells (PRBCs) as a 2nd event. Following 6hrs, culture SN was used to assess the overall inflammatory response (cytometric bead array) and a duplicate assay containing protein transport inhibitor was used to assess neutrophil- and monocyte-specific inflmamatory responses using multi-colour flow cytometry. Panels: IL-6, IL-8, IL-10, IL-12, IL-1, TNF, MCP-1, IP-10, MIP-1. One-way ANOVA 95% CI. Results In the absence of LPS, exposure to D1 or D42 PRBC-SN reduced monocyte expression of IL-6, IL-8 and Il-10. D42 PRBC-SN also reduced monocyte IP-10, and the overall IL-8 production was increased. In the presence of LPS, D1-PRBC SN only modified overall IP-10 levels which were reduced. However, cf LPS alone, the combination of LPS and D42 PRBC-SN resulted in increased neutrophil and monocyte productionof IL-1 and IL-8 as well as reduced monocyte TNF production. Additionally, LPS and D42 PRBC-SN resulted in overall inflmmatory changes: elevated IL-8, event mechanism of TRALI pathogenesis, and highlights blood product storage duration as a factor contributing to the development of inflmamatory responses in non-antibody mediated TRALI.

Honesty about adverse events - more honoured in the breach than in the observance

The medical board of Australia Code of conduct reminds doctors that" "When adverse events occur, you have a responsibility to be open and honest in your communication with your patient, to review what has occurred and to report appropriately." More honoured in the breach rather than the observence may or may not be correct. Faced with the English concerns and the Netherlands research, an evidence based assessment of compliance with the ethical duty to disclose adverse events is warranted.

Methodologies for measuring research impact for a new interdisciplinary institute

Interdisciplinary research is often funded by national government initiatives or large corporate sponsorship, and as such, demands periodic reporting on the use of those funds. For reasons of accountability, governance and communication to the tax payer, knowledge of the outcomes of the research need to be measured and understood. The interdisciplinary approach to research raises many challenges for impact reporting. This presentation will consider what are the best practice workflow models and methodologies.Novel methodologies that can be added to the usual metrics of academic publications include analysis of percentage share of total publications in a subject or keyword field, calculating most cited publication in a key phrase category, analysis of who has cited or reviewed the work, and benchmarking of this data against others in that same category. At QUT, interest in how collaborative networking is trending in a research theme has led to the creation of some useful co-authorship graphs that demonstrate the network positions of authors and the strength of their scientific collaborations within a group. The scale of international collaborations is also worth including in the assessment. However, despite all of the tools and techniques available, the most useful way a researcher can help themselves and the process is to set up and maintain their researcher identifier and profile.

Social event detection at MediaEval 2013 : challenges, datasets and evaluation

In this paper, we provide an overview of the Social Event Detection (SED) task that is part of the MediaEval Bench mark for Multimedia Evaluation 2013. This task requires participants to discover social events and organize the re- lated media items in event-specific clusters within a collection of Web multimedia. Social events are events that are planned by people, attended by people and for which the social multimedia are also captured by people. We describe the challenges, datasets, and the evaluation methodology.

Selective combination of visual and thermal imaging for resilient localization in adverse conditions : day and night, smoke and fire

Long-term autonomy in robotics requires perception systems that are resilient to unusual but realistic conditions that will eventually occur during extended missions. For example, unmanned ground vehicles (UGVs) need to be capable of operating safely in adverse and low-visibility conditions, such as at night or in the presence of smoke. The key to a resilient UGV perception system lies in the use of multiple sensor modalities, e.g., operating at different frequencies of the electromagnetic spectrum, to compensate for the limitations of a single sensor type. In this paper, visual and infrared imaging are combined in a Visual-SLAM algorithm to achieve localization. We propose to evaluate the quality of data provided by each sensor modality prior to data combination. This evaluation is used to discard low-quality data, i.e., data most likely to induce large localization errors. In this way, perceptual failures are anticipated and mitigated. An extensive experimental evaluation is conducted on data sets collected with a UGV in a range of environments and adverse conditions, including the presence of smoke (obstructing the visual camera), fire, extreme heat (saturating the infrared camera), low-light conditions (dusk), and at night with sudden variations of artificial light. A total of 240 trajectory estimates are obtained using five different variations of data sources and data combination strategies in the localization method. In particular, the proposed approach for selective data combination is compared to methods using a single sensor type or combining both modalities without preselection. We show that the proposed framework allows for camera-based localization resilient to a large range of low-visibility conditions.

Laser-to-radar sensing redundancy for resilient perception in adverse environmental conditions

This paper presents an approach to promote the integrity of perception systems for outdoor unmanned ground vehicles (UGV) operating in challenging environmental conditions (presence of dust or smoke). The proposed technique automatically evaluates the consistency of the data provided by two sensing modalities: a 2D laser range finder and a millimetre-wave radar, allowing for perceptual failure mitigation. Experimental results, obtained with a UGV operating in rural environments, and an error analysis validate the approach.

An extensible framework for analysing resource behaviour using event logs

Business processes depend on human resources and managers must regularly evaluate the performance of their employees based on a number of measures, some of which are subjective in nature. As modern organisations use information systems to automate their business processes and record information about processes’ executions in event logs, it now becomes possible to get objective information about resource behaviours by analysing data recorded in event logs. We present an extensible framework for extracting knowledge from event logs about the behaviour of a human resource and for analysing the dynamics of this behaviour over time. The framework is fully automated and implements a predefined set of behavioural indicators for human resources. It also provides a means for organisations to define their own behavioural indicators, using the conventional Structured Query Language, and a means to analyse the dynamics of these indicators. The framework's applicability is demonstrated using an event log from a German bank.

A methodological approach to reporting corrected small field relative outputs

Purpose The goal of this work was to set out a methodology for measuring and reporting small field relative output and to assess the application of published correction factors across a population of linear accelerators. Methods and materials Measurements were made at 6 MV on five Varian iX accelerators using two PTW T60017 unshielded diodes. Relative output readings and profile measurements were made for nominal square field sizes of side 0.5 to 1.0 cm. The actual in-plane (A) and cross-plane (B) field widths were taken to be the FWHM at the 50% isodose level. An effective field size, defined as FSeff=A·B, was calculated and is presented as a field size metric. FSeffFSeff was used to linearly interpolate between published Monte Carlo (MC) calculated kQclin,Qmsrfclin,fmsr values to correct for the diode over-response in small fields. Results The relative output data reported as a function of the nominal field size were different across the accelerator population by up to nearly 10%. However, using the effective field size for reporting showed that the actual output ratios were consistent across the accelerator population to within the experimental uncertainty of ±1.0%. Correcting the measured relative output using kQclin,Qmsrfclin,fmsr at both the nominal and effective field sizes produce output factors that were not identical but differ by much less than the reported experimental and/or MC statistical uncertainties. Conclusions In general, the proposed methodology removes much of the ambiguity in reporting and interpreting small field dosimetric quantities and facilitates a clear dosimetric comparison across a population of linacs