Introduction. The first step in the forensic identification is sex determination followed by age and stature estimation, as both are sex-dependent. The mandible is the largest, strongest and most durable bone in the face. Mandible is important for sex confirmation in absence of a complete pelvis and skull. Aim. The aim of the present study was to determine sex of human mandible from morphology, morphometric measurements as well as discriminant function analysis from the CT scan. Materials and methods. The present retrospective study comprised 79 subjects (48 males, 31 females), with age group between 18 and 74 years, and were obtained from the post mortem computed tomography data in the Hospital Kuala Lumpur. The parameters were divided into three morphologic and nine morphometric parameters, which were measured by using Osirix MD Software 3D Volume Rendering. Results. The Chi-square test showed that men were significantly association with square-shaped chin (92%), prominent muscle marking (85%) and everted gonial glare, whereas women had pointed chin (84%), less prominent muscle marking (90%) and inverted gonial glare (80%). All parameter measurements showed significantly greater values in males than in females by independent t-test (p< 0.01). By discriminant analysis, the classification accuracy was 78.5%, the sensitivity was 79.2% and the specificity was 77.4%. The discriminant function equation was formulated based on bigonial breath and condylar height, which were the best predictors. Conclusion. In conclusion, the mandible could be distinguished according to the sex. The results of the study can be used for identification of damaged and/or unknown mandible in the Malaysian population.

Background Sex estimation using the subpubic angle of the pelvis is highly accurate for identification of unknown skeletonized remains. This study compared two methods for measuring the subpubic angle from reconstructed three-dimensional (3D) pelvic models. The aims were to quantify the differences in the subpubic angle measurement by Checkpoint (Method 1) and MeshLab + OnScreenProtractor (Method 2), to determine the 95% limits of agreement and to identify any measurement bias. Multislice computed tomography (MSCT) scans of 85 individuals were used in this study. The MSCT scans were performed on a Siemens SOMATOM Sensation 64 scanner (Siemens Germany Ltd.). Segmentation of the MSCT scans was performed using 3D Slicer to reconstruct 3D pelvic models. Subpubic angle was measured on Checkpoint using four landmarks (Method 1), and with OnScreenProtractor on MeshLab (Method 2). Results The intraclass correlation coefficient (ICC) showed a high correlation between repeated measurements in both methods. Subpubic angle measurements by Method 1 and Method 2 were significantly different (p < 0.05). Method 2 (M = 82.2 degrees, SD = 13.5 degrees), consistently showed a larger subpubic angle measurement than Method 1 (M = 77.3 degrees, SD = 12.3 degrees) (consistent bias). More than 95% of the differences (82/85) between Checkpoint and MeshLab fell within the 95% limits of agreement (- 1.4 degrees and 11.4 degrees). Conclusion Checkpoint and MeshLab displayed significantly different subpubic angle measurement on a 3D pelvic model, but within the 95% limits of agreement. The MeshLab tended to give a larger measurement (5 degrees), across the magnitude of the subpubic angle. The decision to use the two methods interchangeably depended on the clinical judgment of the observer.

The purpose of this research is to investigate the effects of financial decision behavior on firm performance of Indonesian public companies using panel data. The dynamic generalized method of moment is utilized in this study. The results show that firm performance is dynamic in nature, which indicates that last year performance affects current performance significantly. Empirical result of financial decision behavior shows that investment, leverage, and dividend per share (DPS) have significant impact on firm performance. Specifically, investment has negative impact on firm performance. Meanwhile leverage has negative effects on return on assets (ROA), but positively affects Tobin's Q. Moreover, DPS positively affects ROA and Tobin's Q. This finding suggests that investment decision of Indonesian firms is overinvestment, indicated with higher investment affects firm performance negatively. Similarly with leverage, the finding reveals that Indonesian public companies borrowed external fund more than they required (overleverage). The positive effect of DPS on firm performance implies that dividends payout to shareholders create good signal to the market, in which managers uses dividend to deliver private information to the market. However, based on the coefficient of financial decision variables, the impact is more on the market performance and less on the accounting performance.

Introduction: Hanging is one of the most common methods of suicide in Malaysia, and to date, there is a rise in the number of deaths by hanging among adults. The purpose of this study was to determine the pattern of hanging in Malaysia from the year 2000 till 2009. Methods: The sample comprised 108 cases received at the Universiti Kebangsaan Malaysia Medical Centre, and five parameters, namely, age, sex, racial affiliation, marital status, and medical history were studied. Results: Of the 108 cases, 56% was reported to be Chinese. Suicide by hanging was more predominant in males (81%), and a high number of cases were seen in age groups of 21 to 30, 31 to 40 and 41 to 50 years. Of the cases studied, half of them were married, and previous history of physical and mental illness and alcohol intoxication were reported. Conclusions: In brief, this data would help the higher authorities in detecting the causes of suicide by hanging, as well as detecting the high risk groups with suicidal tendencies. In this way, suicide can be prevented and thus, the rate of suicide by hanging could be reduced in Malaysian.

Estimation of stature plays a significant role in establishing personal identity in forensic anthropology. The objective is to derive specific population regression equations to estimate stature from hand and foot measurements in the Malaysian population. A prospective cross-sectional study was done with 400 staffs and students, who were randomly chosen from Universiti Kebangsaan Malaysia Medical Centre (UKMMC) and ranged from 19 to 60 years old. The subjects comprised 200 males and 200 females (257 Malay, 112 Chinese and 31 Indian). Eleven parameters, such as hand length 1, hand length 2, hand length 3, hand length 4, hand length 5, hand length, palm length, hand breadth, maximum hand breadth, foot breadth and foot length were measured twice by measuring tape and Vernier callipers, and were averaged. Results revealed that the parameters exhibited a significant difference between sexes and ethnic groups (p < 0.05). The relative TEM was 0.7 and 1.37% for intra- and inter-observational analyses, respectively, which were acceptable for measurement accuracy. Paired t-tests showed close approximation between estimated and true stature. Thus, the regressions could be used for stature estimation in the Malaysian population. Further study is needed to evaluate and validate the results for future use.

Scapulae have been widely studied for its potential in differentiating sex in skeletal remains, especially when traditionally used sexually dimorphic bones were not available. The present work aimed to investigate sexual dimorphism of scapulae, and to develop and validate the population-specific metric standards of the Malaysian population using three-dimensional (3D) computed tomographic (CT) scapula models. Each scapula was measured for five variables with a digital caliper and analysed for independent T-test and discriminant analysis, where a leave-one-out cross-validation was applied. Moreover, a set of different samples (hold-out sample) was used to validate the established discriminant functions (DF). Consequently, all measurements showed significant differences between males and females (p < 0.001) and morphological breadth was discovered as the most sexually dimorphic scapulae measurements. Six DFs with classification accuracy ranging from 84.4% to 93.1% were generated. From the functions, stepwise DF predicted the highest classification accuracy. Additionally, the stepwise DF exhibited 95% classification accuracy when tested on the hold-out sample compared to univariate DFs which showed 82.5-92.5% accuracy. In conclusion, the virtual 3D scapulae models were sexually dimorphic, and the discriminant functions were significant in identifying skeletonized remains using scapulae bone in the Malaysian population.

Introduction. Stature is one of the characteristics that could be used to identify human, besides age, sex and racial affiliation. This is useful when the body found is either dismembered, mutilated or even decomposed, and helps in narrowing down the missing person's identity. Aim. The main aim of the present study was to construct regression functions for stature estimation by using lower limb bones in the Malaysian population. Materials and Methods. The sample comprised 87 adult individuals (81 males, 6 females) aged between 20 to 79 years. The parameters such as thigh length, lower leg length, leg length, foot length, foot height and foot breadth were measured. They were measured by a ruler and measuring tape. Statistical analysis involved independent t-test to analyse the difference between lower limbs in male and female. The Pearson's correlation test was used to analyse correlations between lower limb parameters and stature, and the linear regressions were used to form equations. The paired t-test was used to compare between actual stature and estimated stature by using the equations formed. Result. Using independent t-test, there was a significant difference (p< 0.05) in the measurement between males and females with regard to leg length, thigh length, lower leg length, foot length and foot breadth. The thigh length, leg length and foot length were observed to have strong correlations with stature with p= 0.75, p= 0.81 and p= 0.69, respectively. Linear regressions were formulated for stature estimation. Paired t-test showed no significant difference between actual stature and estimated stature. Conclusion. It is concluded that regression functions can be used to estimate stature to identify skeletal remains in the Malaysia population.

Sex determination is one of the main steps in the identification of human skeletal remains. It constitutes an initial step in personal identification from the skeletal remains. The aim of the present study was to provide the population-specific sex discriminating osteometric standards to aid human identification. The present study was conducted on 87 (174 sides) slices of crania using postmortem computed tomography in 45 males and 42 females, aged between 18 and 75 years. About 22 parameters of crania were measured using Osirix software 3-D Volume Rendering. Results showed that all parameters were significantly higher in males than in females except for orbital height of the left eye by independent t test (P<0.01). By discriminant analysis, the classification accuracy was 85.1%, and by regression, the classification accuracy ranged from 78.2% to 86.2%. In conclusion, cranium can be used to distinguish between males and females in the Malaysian population. The results of the present study can be used as a forensic tool for identification of unknown crania.