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To link to full-text access for this article, visit this link: http://dx.doi.org/10.1016/j.forsciint.2009.03.021 Byline: Ann H. Ross (a), Suzanne M. Abel (b), Deborah Radisch (c) Keywords: Child abuse; Fatalities; Injury pattern Abstract: According to the US Department of Health and Human Services, in 2005, an estimated 1460 children died of maltreatment. The purpose of this study is to further examine the pattern of bony injuries in child maltreatment fatalities, with an emphasis on the prevalence of antemortem fractures and the presence of associated perimortem fractures. The sample was 162 male and female children. The majority of the data were collected from the case files of the NC Child Fatality Prevention Team at the Office of the Chief Medical Examiner in Chapel Hill, North Carolina (n =152) spanning from 2000 to 2005. An additional 10 cases from 2001 to 2006 were included from the Charleston County Coroner's Office, Charleston, SC. Six age categories were used in this study: 0-3 months, 4-6 months, 7-9 months, 10-16 months, 17 months to 2 years, and 2-6 years. Lesions were documented and categorized into four general body loci: craniofacial, thoraco/abdominal, appendicular, and multiple. The peak age categories of death were 0-3 months (25%) and 2-6 years (19%), with 50% of deaths occurring in infants 9 months old or younger. The body locus most frequently affected was craniofacial. Author Affiliation: (a) Department of Sociology and Anthropology, NC State University, 1911 Building, CB 8107, Raleigh, NC 27695-8107, United States (b) Charleston County Coroner's Office, 4050 Bridgeview Drive, North Charleston, SC 29405, United States (c) Office of the Chief Medical Examiner, CB 7580, Chapel Hill, NC 27599-7580, United States Article History: Received 7 July 2008; Revised 30 November 2008; Accepted 21 March 2009

While assessing skeletal injuries in human skeletal remains, forensic anthropologists are frequently presented with fractured, fragmented, or otherwise modified skeletal remains. The examination of evidence and the mechanisms of skeletal injuries often require that separate osseous elements be permanently or temporarily reassembled or reconstructed. If not dealt with properly, such reconstructions may impede accurate interpretation of the evidence. Nowadays, routine forensic examinations increasingly incorporate digital imaging technologies. As a result, a variety of PC-assisted imaging techniques, collectively referred to as the virtual approach, have been made available to treat fragmentary skeletal remains. The present study employs a 3D virtual approach to assess mechanisms of skeletal injuries, and provides an expert opinion of causative tools in three forensic cases involving human skeletal remains where integrity was compromised by multiple peri- or postmortem alterations resulting in fragmentation and/or incompleteness. Three fragmentary skulls and an incomplete set of foot bones with evidence of perimortem fractures (gunshot wounds) and sharp force trauma (saw marks) were digitized using a desktop laser scanner. The digitized skeletal elements were reassembled in the virtual workspace using functionalities incorporated in AMIRA® version 5.0 software, and simultaneously in real physical space by traditional reconstructive approaches. For this study, the original skeletal fragments were substituted by replicas built by 3D printing. Inter-method differences were quantified by mesh-based comparison after the physically reassembled elements had been re-digitized. Observed differences were further reinforced by visualizing local variations using colormaps and other advanced 3D visualization techniques. In addition, intra-operator and inter-operator error was computed. The results demonstrate that the importance of incorporating the virtual approach into the assessment of skeletal injuries increases with the complexity and state of preservation of a forensic case. While in relatively simple cases the virtual approach is a welcome extension to a traditional approach, which merely facilitates the analysis, in more complex and extensively fragmentary cases such as multiple gunshot wounds or dismemberment, the virtual approach can be a crucial step in applying the principles of gunshot wounds or sharp force traumatic mechanisms. The unrestricted manipulation with digital elements enabling limitless repairs and adjustments to a "best-case scenario" also produced smaller inter-operator variation in comparison to the traditional approach. [ABSTRACT FROM AUTHOR]

In the framework of forensic anthropology osteometric techniques are generally preferred over visual examinations due to a higher level of reproducibility and repeatability; qualities that are crucial within a legal context. The use of osteometric methods has been further reinforced by incorporating statistically-based algorithms and large reference samples in a variety of user-friendly software applications. However, the continued increase in admixture of human populations have made the use of osteometric methods for estimation of ancestry much more complex, which confounds one of major requirements of ancestry assessment - intra-population homogeneity. The present paper tests the accuracy of ancestry and sex assessment using four identification software tools, specifically FORDISC 2.0, FORDISC 3.1.293, COLIPR 1.5.2 and 3D-ID 1.0. Software accuracy was tested in a sample of 174 documented human crania of Brazilian origin composed of different ancestral groups (i.e., European Brazilians, Afro-Brazilians, and Japanese Brazilians and of admixed ancestry). The results show that regardless of the software algorithm employed and composition of the reference database, all methods were able to allocate approximately 50% of Brazilian specimens to an appropriate major reference group. Of the three ancestral groups, Afro-Brazilians were especially prone to misclassification. Japanese Brazilians, by contrast, were shown to be relatively easily recognizable as being of Asian descent but at the same time showed a strong affinity towards Hispanic crania, in particularly when the classification based on FDB was carried out in FORDISC. For crania of admixed origin all of the algorithms showed a considerable higher rate of inconsistency with a tendency for misclassification into Asian and American Hispanic groups. Sex assessments revealed an overall modest to poor reliability (60-71% of correctly classified specimens) using the tested software programs with unbalanced individual rates for males and females. The highest and atypically balanced rate of classification for sex assessment was provided by COLIPR software, which reached 78% of correctly assessed crania. [ABSTRACT FROM AUTHOR]

Abstract: Technological advancements in embedded systems due to Moore's law have led to the proliferation of wireless sensor networks (WSNs) in different application domains (e.g., defense, health care, surveillance systems) with different application requirements (e.g., lifetime, reliability). Many commercial-off-the-shelf (COTS) sensor nodes can be specialized to meet these requirements using tunable parameters (e.g., processor voltage and frequency) to specialize the operating state. Since a sensor node's performance depends greatly on environmental stimuli, dynamic optimizations enable sensor nodes to automatically determine their operating state in situ. However, dynamic optimization methodology development given a large design space and resource constraints (memory and computational) is an extremely challenging task. In this paper, we propose a lightweight dynamic optimization methodology that intelligently selects initial tunable parameter values to produce a high-quality initial operating state in one-shot for time-critical or highly constrained applications. Further operating state improvements are made using an efficient greedy exploration algorithm, achieving optimal or near-optimal operating states while exploring only 0.04% of the design space on average. We also propose an application metrics estimation model, which is leveraged by our dynamic optimization methodology, to estimate high-level application metrics (e.g., lifetime, throughput) from sensor node tunable parameters and hardware specific internals. [Copyright &y& Elsevier]

Abstract: The structural breakdown of skeletal remains follows a lengthy decomposition process, progressing from the appearance of cracking along the bone to complete loss of shape and skeletal integrity, that can occur in as early as 6 years or as long as 30. The length of time a set of skeletal remains takes to decompose depends heavily upon its micro-environment, the local context in which decomposition agents act on remains. Critical changes in the micro-context can drastically increase or slow the process. The burial of remains below the surface has been found to effectively shut out many of the most destructive decaying agents, such as the natural elements and insect and animal activity. This causes an increase in the amount of time needed to breakdown the skeletal remains. A better understanding of the decomposition process in varying micro-contexts is important for the ability to correctly estimate time since burial. This can aid not only in understanding of archaeological remains, but also in the identification of individuals in modern forensic and human rights cases. This study details the observations made during the excavation and analysis of burials on the Isla de Coiba off the coast of Panama. The excavation took place during the summer 2003 in an effort to identify several individuals who were believed to be part of the ‘disappeared’, people who went missing and believed to have been murdered under orders by the Torrijos and Noriega military regimes. Through the fieldwork analysis a decomposition timeline, specific for the Coiba micro-environment, was created. This new set of stages can be used to estimate time since burial in other areas whose local context is similar to that found on Coiba. [ABSTRACT FROM AUTHOR]

The main objective is to investigate the geographical variation in ovarian cancer and uterine cancer mortality, and to test associations between some risk factors and these cancer types in the contiguous US for mortality and for incidence. The modern disease surveillance software SaTScan™ was used for a spatial cluster analysis to assess any observable geographical variation in ovarian and uterine cancer mortality rates and to identify and test for spatial clusters with elevated relative risk. The analyses were first completed using age adjusted cancer rates for ovarian cancer and for uterine cancer. The cancer data was then adjusted for the risk factors (or covariates) obesity rate, smoking rate, urban, poverty rate, college education rate, race, opioids mortality rate, and for arsenic intake from well water rate. All used data for cancer mortality were for 2000–2014 while incidence data were for 2011–2015. There exist seven significant mortality clusters of ovarian cancer, with large clusters in NW, NE and SE of the US, and there exist two large mortality clusters of uterine cancer in NE and Central US. Most risk factors studied for mortality and for incidence were significant at significance levels much lower than 0.05 for either of the two cancer types, except race for ovarian cancer mortality and arsenic for ovarian incidence. This study has identified several important factors, and these findings could be used for a more effective search for cancer prevention for uterine and ovarian cancer. The accuracy of the data could not be controlled as data were downloaded from websites. While the mortality data was complete, the incidence data had counties with missing data. The data were obtained at the county resolution. No data were available on women who had one type of cancer and then had the second type of cancer later in life. Only purely spatial clusters were studied and no temporal analysis was done. Unlabelled Image • There exist several clusters for geographical areas where the ovarian cancer mortality rate is significantly higher than in the rest of the USA. • The heat map of the age adjusted uterine cancer mortality rate identifies geographical areas with higher cancer rates than in the rest of the USA. • There are significant associations between ovarian and uterine cancer mortality rates and the studied covariates. • There are significant associations between ovarian and uterine cancer incidence rates and the studied covariates [ABSTRACT FROM AUTHOR]

Abstract: In the analysis of human skeletal or otherwise unidentifiable remains the assessment of sex is an initial vital element when rendering a biological profile. As such other aspects of the biological profile are sex-specific (e.g. stature and age) and cannot be successfully determined without this preliminary assessment. In addition, the estimation of stature is an essential parameter of the biological profile, which is often used to confirm or exclude presumptive identifications. The purpose of this study is to present newly developed local identification criteria for the estimation of sex from the postcrania and stature for Chileans. Linear discriminant functions were derived for the humerus and femur. Sexing accuracies of 87%, 86%, and 82% were achieved. Furthermore, new univariate predictive stature equations are presented using a Bayesian approach for the humerus, femur and tibia. [ABSTRACT FROM AUTHOR]

Craniofacial superimposition has the potential to be used as an identification method when other traditional biological techniques are not applicable due to insufficient quality or absence of ante-mortem and post-mortem data. Despite having been used in many countries as a method of inclusion and exclusion for over a century it lacks standards. Thus, the purpose of this research is to provide forensic practitioners with standard criteria for analysing skull-face relationships. Thirty-seven experts from 16 different institutions participated in this study, which consisted of evaluating 65 criteria for assessing skull-face anatomical consistency on a sample of 24 different skull-face superimpositions. An unbiased statistical analysis established the most objective and discriminative criteria. Results did not show strong associations, however, important insights to address lack of standards were provided. In addition, a novel methodology for understanding and standardizing identification methods based on the observation of morphological patterns has been proposed. [ABSTRACT FROM AUTHOR]