The first ever mass identification operation of skeletal remains conducted for the clandestine graves in Malaysia consisted of 165 individuals unearthed from 28 human trafficking transit camps located in Wang Kelian, along the Thai-Malaysia border. A DVI response was triggered in which expert teams comprising of pathologists, anthropologists, odontologists, radiologists and DNA experts were gathered at the identified operation centre. The Department of Forensic Medicine, Hospital Sultanah Bahiyah, Alor Star, Kedah, located approximately 75km away from Wang Kelian, was temporarily converted into a victim identification centre (VIC) as it is the nearest available forensic facility to the mass grave site. The mortuary operation was conducted over a period of 3 months from June to September 2015, and was divided into two phases; phase 1 involving the postmortem examination of the remains of 116 suspected individuals and for phase 2 the remains of 49 suspected individuals. The fact that the graves were of unknown individuals afforded the mass identification operation a sufficient duration of 2 weeks as preparatory phase enabling procedurals and daily victim identification workflow to be established, and the setting up of a temporary body storage for the designated mortuary. The temporary body storage has proven to be a significant factor in enabling the successful conclusion of the VIC operation to the final phase of temporary controlled burials. Recognition from two international observers, Mr. Andréas Patiño Umaña, from the International Committee of Red Cross (ICRC) and Prof. Noel Woodford from Victoria Institute of Forensic Medicine (VIFM) had proven the mortuary operation was in compliance to the international quality and standards. The overall victim identification and mortuary operation identified a number of significant challenges, in particular the management of commingled human remains as well as the compilation of postmortem data in the absence of antemortem data for future reconciliation. CF Index in this DVI operation is 9%, indicating the primary identifications in this operation were effective. Limitations and further improvements of the mass identification operation will be discussed. This paper details the planning, preparations and management of the mass identification operation on the exhumed human remains which was also a forensic humanitarian service for the dead with dignity and respect.
INTRODUCTION: This study on workplace injuries and risk reduction practices was part of the Malaysia National Health Morbidity Survey III (NHMS III) conducted in 2006.
METHODS: This cross-sectional population-based survey was conducted to determine the incidence of workplaces injuries and assess the magnitude of some important risk reduction practices among workers. Data were gathered through face-to-face household interviews using a pre-coded questionnaire.
RESULTS: Of the 22 880 eligible respondents, 88·2% (20 180) responded. The incidence rate for injuries at the workplace was 4·9 per 100 (95% CI: 4·6-5·2). The overall proportion of workers who had received occupational safety and health (OSH) training before or within 1 month of starting work was 33·6%. Among respondents who perceived that personal protective equipment (PPE) was required at their workplace, only 38·9% (95% CI: 37·8-39·4) were provided with it by their employers.
DISCUSSION: Further studies are urgently needed to identify reasons for and management of the low uptake of risk reduction practices. This issue needs to be addressed to ensure the safety and health of our working population.
Study name: National Health and Morbidity Survey (NHMS-2006)
Utilizing the multiple degrees of freedom offered by the data glove for each finger and the hand, a novel on-line signature verification system using the Singular Value Decomposition (SVD) numerical tool for signature classification and verification is presented. The proposed technique is based on the Singular Value Decomposition in finding r singular vectors sensing the maximal energy of glove data matrix A, called principal subspace, so the effective dimensionality of A can be reduced. Having modeled the data glove signature through its r-principal subspace, signature authentication is performed by finding the angles between the different subspaces. A demonstration of the data glove is presented as an effective high-bandwidth data entry device for signature verification. This SVD-based signature verification technique is tested and its performance is shown to be able to recognize forgery signatures with a false acceptance rate of less than 1.2%.
This study aims to provide baseline data to support the implementation of generic substitution policy in Malaysia by evaluating the community pharmacists' perceptions and opinions on generic substitution and current substitution practices.