Transcending time: the forensic anthropological case study of three unidentified transgender women in Italy in the early 1990s.

In forensic anthropology, the estimation of skeletal sex results in a dichotomous outcome: male or female. This poses challenges when dealing with transgender individuals. Italy has the highest rate per capita of transgender murders, making their identification a compelling issue. This study presents three cases of unidentified skeletal remains of transgender women (MtF) that underwent autopsies in the 1990s at the Institute of Legal Medicine of Milan. The transgender status of the individuals was determined from the autopsy records which indicated the co-existence of breast implants and male genitalia. The biological profile was created by estimating sex, age, ancestry, and stature, and the bones were investigated looking for evidence of Facial Feminization Surgery (FFS). Anthropological estimations revealed that the skeletons belong to male, adults, European individuals, between 164 and 184 cm. Fragmented gelatinous masses were found in association with two skeletons, which were interpreted as remnants of breast implants. In two cases, signs of remodeling of the cortical surface were observed on the zygomatic bones, although the bone marks observed here were not specific enough to link them to FFS. Despite some limitations, this study highlights the need for greater awareness among practitioners about this limitedly addressed issue, advocating for a more inclusive forensic anthropology that strives to improve methods and interpretation of evidence for the identification of transgender individuals.

Exploring the Risk of Resulting in Homicide and Suicide in Spanish Missing Person Cases.

The study explores in depth the relationship between missing persons' psychosocial and criminological characteristics/circumstances and violent-fatal outcomes (suicide and homicide). A relational analytical explicative study of 929 cases and controls was designed using a retrospective and stratified design. Data gathering was conducted through the content analysis of judicial and police information, as well as the development of psychological autopsy techniques and semi-structured interviews with the persons involved in the missing person cases including offenders in prison. Bivariate and multivariate statistical techniques were utilised for analyses. The findings showed that there are different risk and protective factors which can distinguish between good state of health, suicide, and homicide outcomes. This research entails implications for prevention and police risk assessment system.

A Novel Integration of Face-Recognition Algorithms with a Soft Voting Scheme for Efficiently Tracking Missing Person in Challenging Large-Gathering Scenarios.

The probability of losing vulnerable companions, such as children or older ones, in large gatherings is high, and their tracking is challenging. We proposed a novel integration of face-recognition algorithms with a soft voting scheme, which was applied, on low-resolution cropped images of detected faces, in order to locate missing persons in a challenging large-crowd gathering. We considered the large-crowd gathering scenarios at Al Nabvi mosque Madinah. It is a highly uncontrolled environment with a low-resolution-images data set gathered from moving cameras. The proposed model first performs real-time face-detection from camera-captured images, and then it uses the missing person's profile face image and applies well-known face-recognition algorithms for personal identification, and their predictions are further combined to obtain more mature prediction. The presence of a missing person is determined by a small set of consecutive frames. The novelty of this work lies in using several recognition algorithms in parallel and combining their predictions by a unique soft-voting scheme, which in return not only provides a mature prediction with spatio-temporal values but also mitigates the false results of individual recognition algorithms. The experimental results of our model showed reasonably good accuracy of missing person's identification in an extremely challenging large-gathering scenario.

Tracking Missing Person in Large Crowd Gathering Using Intelligent Video Surveillance.

Locating a missing child or elderly person in a large gathering through face recognition in videos is still challenging because of various dynamic factors. In this paper, we present an intelligent mechanism for tracking missing persons in an unconstrained large gathering scenario of Al-Nabawi Mosque, Madinah, KSA. The proposed mechanism in this paper is unique in two aspects. First, there are various proposals existing in the literature that deal with face detection and recognition in high-quality images of a large crowd but none of them tested tracking of a missing person in low resolution images of a large gathering scenario. Secondly, our proposed mechanism is unique in the sense that it employs four phases: (a) report missing person online through web and mobile app based on spatio-temporal features; (b) geo fence set estimation for reducing search space; (c) face detection using the fusion of Viola Jones cascades LBP, CART, and HAAR to optimize the results of the localization of face regions; and (d) face recognition to find a missing person based on the profile image of reported missing person. The overall results of our proposed intelligent tracking mechanism suggest good performance when tested on a challenging dataset of 2208 low resolution images of large crowd gathering.

Reliability of phenotype estimation and extended classification of ancestry using decedent samples.

The Illumina® MiSeq FGx™, in conjunction with the ForenSeq™ DNA Signature Prep kit, produces genotypes of the CODIS-required short tandem repeats and provides phenotype and biogeographical ancestry estimations via phenotype-informative and ancestry-informative markers, respectively. Although both markers have been validated for use in forensic biology, there is little data to determine the practical utility of these estimations to assist in identifying missing persons using decedent casework samples. The accuracy and utility of phenotypic and ancestral estimations were investigated for 300 samples received by the Los Angeles County Department of Medical Examiner-Coroner. piSNP genotypes were translated into hair and eye colors using the Forenseq™ Universal Analysis Software (UAS) on the MiSeq FGx™ and the HIrisPlex System, and statistical accuracy was evaluated in context with the reported decedent characteristics. Similarly, estimates of each decedent's biogeographical ancestry were compared to assess the efficacy of these markers to predict ancestry correctly. The average UAS and the HIrisPlex system prediction accuracy for brown and blue eyes were 95.3% and 96.2%, respectively. Intermediate eye color could not be predicted with high accuracy using either system. Other than the black hair phenotype reporting an accuracy that exceeded 90% using either system, hair color was also too variable to be predicted with high accuracy. The FROG-kb database distinguishes decedents adequately beyond the Asian, African, European, and Admixed American global ancestries provided by the MiSeq FGx™ UAS PCA plots. FROG-kb correctly identified Middle Eastern, Pacific Islander, Latin American, or Jewish ancestries with accuracies of 70.0%, 81.8%, 73.8%, and 86.7%, respectively.

Everything Seems So Illogical: Constructing Missingness Between Life and Death in Israel.

This paper discusses the case of missing persons in Israel, to show how the category of "missingness" is constructed by the people who have been left behind, and how this may threaten the life-death dichotomy assumption. The field of missing persons in Israel is characterized not only by high uncertainty, but also by the absence of relevant cultural scripts. Based on a narrative ethnography of missingness in Israel, I claim that a new and subversive social category of "missingness" can be constructed following the absence of cultural scripts. The left-behinds fluctuate not only between different assumptions about the missing person's fate; they also fluctuate between acceptance of the life-death dichotomy, thus yearning for a solution to a temporary in-between state, and blurring this dichotomy, and thus constructing "missingness" as a new stable and subversive ontological category. Under this category, new rites of passage are also negotiated and constructed.

A standalone humanitarian DNA identification database system to increase identification of human remains of foreign nationals.

The identification of missing persons and human remains is a worldwide problem which has been exacerbated with increased migrations and rampant human trafficking and smuggling cases. DNA typing and DNA databases are primary tools and resources used to help identify human remains and missing persons. The foundation of most, if not all, national DNA database systems, e.g., CODIS, is law enforcement identification. With such database systems, compliance with statutory and operational requirements is necessary to ensure the integrity of the databases. However, because of conditions in their homelands, relatives of missing persons at times may not trust the government and may be reluctant to contact a law enforcement agency, making it difficult to satisfy the law enforcement nexus necessary for entry into a national DNA database. A potential solution to increase the identification of unidentified human remains found within the USA, such as those that may be of foreign nationals, the University of North Texas Center for Human Identification (UNTCHI) has created a Humanitarian DNA Identification DNA Database (HDID) that enables family reference sample DNA profiles from non-US citizens to be compared with the DNA profiles from unidentified human remains within its local database system. This short communication describes the needs, basis, policies, and practices to inform the scientific, investigative, and legal communities and the public so that various entities may become aware and consider submitting family reference sample (FRS) profiles from foreign nationals for the purpose of searching against UNTCHI's HDID. It is our hope that by creating this HDID, another vehicle is available to support identification of human remains within the USA and to bring much needed answers to the family members of missing persons. The HDID will merge high forensic quality and best practices with the broader accessibility for non-US families to voluntarily donate DNA profiles for searching for missing loved ones.

Critical Separation Versus Effective Sweep Width: Bridging the Old and New Search-and-Rescue Worlds.

INTRODUCTION: "Critical separation" is a simple method for spacing searchers intended to produce a predictable probability of detection (POD). A more precise method, based on effective sweep width (W), has been adopted only slowly. Accurate PODs are critical in planning priorities in future operational periods. Therefore, it would be useful to know what POD a critical separation determination actually produces. METHODS: Detection ranges (Rd) were measured on high- and low-visibility adult mannequins (stuffed Tyvek suits of varying colors) and a red helmet detected by 6 searcher volunteers. Conversion factors previously described in the literature were used to convert Rds into predicted Ws and the previously described logit model to convert Ws into PODs. RESULTS: The Rds were 26±6 m (mean±SD) for the high-visibility mannequin, 15±5 m for the low-visibility mannequin, and 24±6 m for the helmet used in the critical separation determination. The predicted Ws were 47±15 m, 16±8 m, and 42±14 m, respectively. Critical separation would therefore result in predicted PODs of 67±17% or 32±16% for nonresponsive adults in high- versus low-visibility clothing. CONCLUSIONS: Critical separation is a simple, quick way to array searchers in the field. The current study suggests that the value of critical separation in producing the 50% target POD will depend on the whether the search object used for the critical separation determination has a similar detectability/W to the actual target of the search effort. Still, the results from a critical separation determination may offer more predictability and reliability than the common practice of POD estimation by team leaders.

Weight-of-evidence for DNA identification of missing persons and human remains using CODIS.

DNA Identification of unidentified human remains (UHR) is performed in Israel by comparing the UHR's short tandem repeat (STR) profiles to a national database of STR profiles taken from relatives of missing persons. Kinship analysis is performed using the CODIS 7.0 software and results are stated as a Joint Pedigree Likelihood Ratio (JPLR). The weight-of-evidence for JPLR has never been studied, making it difficult to interpret the meaning of specific values in terms of whether UHR are related to specific pedigrees. Therefore, the aim of this study was to statistically determine the practical meaning and context of the JPLR. We used 440 million pairs of simulated DNA profiles and 294 pairs of real ones from known siblings, parent/offspring and unrelated persons. A Score-Based Likelihood Ratio (SBLR) was empirically constructed, validated and compared to both JPLR and the LR produced by CODIS. Our results show that CODIS's JPLR and LR values for single-person pedigrees overestimate the level of support for both "parent/child" and "siblings" propositions relative to the "unrelated" proposition, by up to two orders of magnitude. A practical table is given for correcting this phenomenon, with statistical interpretation (i.e. SBLR) for each JPLR score, including verbal levels of propositional support ranging from "no support" (SBLR<2) to "extremely strong" (SBLR>1 Million).

Assessment of impact of DNA extraction methods on analysis of human remain samples on massively parallel sequencing success.

Skeletal remains recovered from missing persons' cases are often exposed to harsh environmental conditions resulting in the DNA being damaged, degraded, and/or the samples containing PCR inhibitors. In this study, the efficacy of common extraction methods was evaluated to remove high levels of PCR inhibitors commonly encountered with human remains, and their downstream compatibility with the two leading sequencing chemistries and platforms for human identification purposes. Blood, hair, and bone samples were spiked with high levels of inhibitors commonly identified in each particular substrate in order to test the efficiency of various DNA extraction methods prior to sequencing. Samples were extracted using three commercial extraction kits (DNA IQ™, DNA Investigator, and PrepFiler® BTA), organic (blood and hair only), and two total demineralization protocols (bone only)). Massively parallel sequencing (MPS) was performed using two different systems: Precision ID chemistry and a custom AmpliSeq™ STR and iiSNP panel on the Ion S5™ System and the ForenSeq DNA Signature Prep Kit on the MiSeq FGx™. The overall results showed that all DNA extraction methods were efficient and are fully compatible with both MPS systems. Key performance indicators such as STR and SNP reportable alleles, read depth, and heterozygote balance were comparable for each extraction method. In samples where CE-based STRs yielded partial profiles (bone), MPS-based STRs generated more complete or full profiles. Moreover, MPS panels contain more STR loci than current CE-based STR kits and also include SNPs, which can further increase the power of discrimination obtained from these samples, making MPS a desirable choice for the forensic analysis of such challenging samples.

In limbo: A systematic review of psychological responses and coping among people with a missing loved one.

OBJECTIVE: This review explored psychological responses and coping among loved ones left behind when a person is missing. METHOD: A systematic search identified 42 studies that reported data gathered among people with a missing loved one regarding psychological symptoms and/or coping strategies. Studies were arranged according to context of disappearance: forced (a result of war/conflict, abduction, forced separation) or unclear (reason unknown)/unspecified circumstances. RESULTS: The most consistent findings for psychological symptoms were reports of depression, anxiety, posttraumatic stress, and prolonged grief reactions. When the disappearance was unclear/unspecified, people more often reported use of cognitive avoidance and continuing a bond as coping strategies. When the disappearance was forced, people more often reported use of informal support seeking. CONCLUSIONS: Further research is warranted to clarify (a) the generalizability of findings to those left behind under circumstances where the ambiguity may be greater and (b) the acceptability of various targeted psychological interventions.

Posttraumatic Growth Among Family Members With Missing Persons From War in Kosovo: Association With Social Support and Community Involvement.

There is almost no data on the role of social support and in general on posttraumatic growth among people who have missing family member(s) as result of war and who experience ambiguous loss. This study explores relationship between reported posttraumatic growth and perceived social support and social activism in community-based organizations dealing directly with issues of missing persons. Family members who reported higher levels of social support from family, friends, and important others reported significant higher levels of posttraumatic growth. Family members that reported being active in community-based organizations reported significant higher averages in posttraumatic growth scores in total and its subscales. Regression analyses indicates that factors associated posttraumatic growth were as follows: being active in community organization dealing with missing person's issues and higher levels of social support from friends and family. Findings provide insight for clinicians working with this population and psycho social experts working in postconflict contexts.

When age-progressed images are unreliable: The roles of external features and age range.

When children go missing for many years, investigators commission age-progressed images from forensic artists to depict an updated appearance. These images have anecdotal success, and systematic research has found they lead to accurate recognition rates comparable to outdated photos. The present study examines the reliability of age progressions of the same individuals created by different artists. Eight artists first generated age progressions of eight targets across three age ranges. Eighty-five participants then evaluated the similarity of these images against other images depicting the same targets progressed at the same age ranges, viewing either whole faces or faces with external features concealed. Similarities were highest over shorter age ranges and when external features were concealed. Implications drawn from theory and application are discussed.

Recognition of computerized facial approximations by familiar assessors.

Studies testing the effectiveness of facial approximations typically involve groups of participants who are unfamiliar with the approximated individual(s). This limitation requires the use of photograph arrays including a picture of the subject for comparison to the facial approximation. While this practice is often necessary due to the difficulty in obtaining a group of assessors who are familiar with the approximated subject, it may not accurately simulate the thought process of the target audience (friends and family members) in comparing a mental image of the approximated subject to the facial approximation. As part of a larger process to evaluate the effectiveness and best implementation of the ReFace facial approximation software program, the rare opportunity arose to conduct a recognition study using assessors who were personally acquainted with the subjects of the approximations. ReFace facial approximations were generated based on preexisting medical scans, and co-workers of the scan donors were tested on whether they could accurately pick out the approximation of their colleague from arrays of facial approximations. Results from the study demonstrated an overall poor recognition performance (i.e., where a single choice within a pool is not enforced) for individuals who were familiar with the approximated subjects. Out of 220 recognition tests only 10.5% resulted in the assessor selecting the correct approximation (or correctly choosing not to make a selection when the array consisted only of foils), an outcome that was not significantly different from the 9% random chance rate. When allowed to select multiple approximations the assessors felt resembled the target individual, the overall sensitivity for ReFace approximations was 16.0% and the overall specificity was 81.8%. These results differ markedly from the results of a previous study using assessors who were unfamiliar with the approximated subjects. Some possible explanations for this disparity in performance were examined, and it was ultimately concluded that ReFace facial approximations may have limited effectiveness if used in the traditional way. However, some promising alternative uses are explored that may expand the utility of facial approximations for aiding in the identification of unknown human remains.

The role of the dentist in identifying missing and unidentified persons.

The longer a person is missing, the more profound the need for dental records becomes. In 2013, there were >84,000 missing persons and >8,000 unidentified persons registered in the National Crime Information Center (NCIC) database. Tens of thousands of families are left without answers or closure, always maintaining hope that their relative will be located. Law enforcement needs the cooperation of organized dentistry to procure dental records, translate their findings, and upload them into the NCIC database for cross-matching with unidentified person records created by medical examiner and coroner departments across the United States and Canada.

Use of the visual range of detection to estimate effective sweep width for land search and rescue based on 10 detection experiments in North America.

OBJECTIVE: Standard-of-practice search management requires that the probability of detection (POD) be determined for each search resource after a task. To calculate the POD, a detection index (W) is obtained by field experiments. Because of the complexities of the land environment, search planners need a way to estimate the value of W without conducting formal experiments. We demonstrate a robust empirical correlation between detection range (Rd) and W, and argue that Rd may reliably be used as a quick field estimate for W. METHODS: We obtained the average maximum detection range (AMDR), Rd, and W values from 10 detection experiments conducted throughout North America. We measured the correlation between Rd and W, and tested whether the apparent relationship between W and Rd was statistically significant. RESULTS: On average we found W ≈ 1.645 × Rd with a strong correlation (R(2) = .827). The high-visibility class had W ≈ 1.773 × Rd (also R(2) = .867), the medium-visibility class had W ≈ 1.556 × Rd (R(2) = .560), and the low-visibility had a correction factor of 1.135 (R(2) = .319) for Rd to W. Using analysis of variance and post hoc testing, only the high- and low-visibility classes were significantly different from each other (P < .01). We also found a high correlation between the AMDR and Rd (R(2) = .9974). CONCLUSIONS: Although additional experiments are required for the medium- and low-visibility search objects and in the dry-domain ecoregion, we suggest search planners use the following correction factors to convert field-measured Rd to an estimate of the effective sweep width (W): high-visibility W = 1.8 × Rd; medium-visibility W = 1.6 × Rd; and low-visibility W = 1.1 × Rd.

A bibliometric analysis of research trends for missing persons globally and in East Asia from 2000 to 2021.

A bibliometric analysis was performed to explore the current research status and development trends for missing persons globally and in East Asia and to identify research hotspots and frontiers relating to this topic. A search was conducted to identify relevant literature on missing persons using the Web of Science Core Collection database for the period 2000-2021. Subsequently, a knowledge map was constructed using CiteSpace software to perform a visual analysis of the distribution of authors and institutions, journals, and national/regional distribution; citation frequency; high-frequency keywords; and emerging research hotspots. The results showed firstly that discussions on missing persons and related topics in East Asia are held at the regional scale. There is a paucity of research on this topic, which has been conducted on a limited scale, lacks depth and possibly innovation, and entails limited discussion in this region. Secondly, there is a lack of social science research on missing persons and related topics worldwide. Thirdly, relevant research in East Asia should continue to preserve its own characteristics, effectively addressing current issues and enabling more people to participate in social science-oriented discussions focusing on the topic of missing persons. This approach provides a promising direction for pursuing the sustainable development of the topic of missing persons. Key points: The strengths and weaknesses of current research on missing persons in East Asia were identified by comparing the respective literatures on missing persons and related topics in East Asia and worldwide during the period 2000-2021.Bibliometric analysis was performed using CiteSpace visual charts to explore keywords, authorship and co-authorship, intercountry collaboration, and other relevant co-citationities.Insights were obtained on current research breakthroughs relating to the topic of missing persons, and cutting-edge social science research on this topic was identified.

Managing large volume data sets in the process of identifying missing persons: Contributions from the International Commission on Missing Persons.

The process of locating and identifying missing persons presents a complex challenge that hinges on the collection and comparison of diverse data sets. This commentary offers an overview of some of the difficulties and considerations associated with data management in the context of large-scale missing person identifications. Such complexities include the uniqueness of each disaster event, the response time to the event, the variable quality and quantity of data, and the involvement of numerous stakeholders, all of which contribute to the intricacies of data management. In addition, the paramount considerations of privacy and ethical standards further compound these challenges, especially when dealing with sensitive information such as genetic data. This commentary describes the integrated Data Management System (iDMS) developed by the International Commission on Missing Persons (ICMP) as one example of a comprehensive, freely available solution for data collection, storage, protection, and analysis in missing person cases. The various advantages of the system are discussed, including the system's interoperability among the diverse array of stakeholders involved. While the iDMS streamlines data management processes and therefore represents a significant advancement in the field of missing person identification, it is concluded that the pending issue extends beyond the software tools to encompass the lack of political will among stakeholders to collaborate there remains a pressing need for all stakeholders involved in the identification process to commit to a mechanism that facilitates compatibility and interoperability if different tools are used in disaster victim identification (DVI) scenarios.

Operationalisation of the ForenSeq® Kintelligence Kit for Australian unidentified and missing persons casework.

Single nucleotide polymorphism (SNP) genotyping technologies can generate investigative leads for human remains identification, including estimation of biological sex, biogeographical ancestry (BGA), externally visible characteristics (EVCs), identity, uniparental lineage and extended kinship. The ForenSeq® Kintelligence Kit provides forensic laboratories with the ability to apply this suite of genetic tools to forensic samples using one panel targeting 10,230 SNPs (including 56 ancestry-informative, 24 phenotype-informative, 94 identity-informative, 106 X chromosome, 85 Y chromosome and 9867 kinship-informative SNPs) sequenced on the MiSeq FGx® Sequencing System. The ForenSeq® Kintelligence Kit has been internally validated, optimised and operationalised by the Australian Federal Police National DNA Program for Unidentified and Missing Persons (AFP Program) for coronial casework. The internal validation was conducted according to the Scientific Working Group on DNA Analysis Methods guidelines (excluding mixture analysis), focussing on sample types typically encountered in human remains identification casework, such as bones, teeth, nail, blood and hair. The workflow was optimised for a high throughput library preparation and sequencing workflow, and additional analytical thresholds were developed to improve genotyping accuracy for low DNA input samples. Additionally, the genetic intelligence generated from the kit was compared to the self-declared biological sex, EVCs and BGA of the DNA donors to assess concordance. The kit was able to produce high quality SNP profiles from 1.0 ng down to 0.1 ng of DNA, with high repeatability and reproducibility, and minimal background noise. The prediction accuracy for biological sex (95%), hair colour (58%), eye colour (74%) and BGA inferences (consistent: 74%; partially consistent: 10%; inconclusive: 16%) was determined based on self-declared data. Additionally, SNP profiles from a volunteer family group of ten related individuals were uploaded to GEDmatch PRO™ to assess kinship accuracy. The kit was capable of detecting (97%) and accurately classifying (90%) genetic relationships spanning from first to fifth degree. The Kintelligence Kit provides the AFP Program with a robust and reliable genetic intelligence tool for unidentified and missing persons investigations, which has been designed to sequence multiple challenging samples in a single multiplexed assay using existing laboratory instrumentation.

The Ambiguous Loss Inventory Plus (ALI+): Introduction of a Measure of Psychological Reactions to the Disappearance of a Loved One.

BACKGROUND: The disappearance of a significant person is an ambiguous loss due to the persistent uncertainty about the whereabouts of the person. Measures specifically capturing the psychological consequences of ambiguous loss are lacking. Therefore, this study aimed to develop the Ambiguous Loss Inventory Plus (ALI+) and evaluated its suitability for use with relatives of missing persons. METHODS: ALI+ items were generated based on established measures for prolonged grief symptoms and literature on psychological responses to ambiguous loss. Eight relatives of missing persons (three refugees, five non-refugees) and seven international experts on ambiguous loss rated all items in terms of understandability and relevance on a scale from 1 (not at all) to 5 (very well). RESULTS: On average, the comprehensibility of the items was rated as high (all items ≥ 3.7). Likewise, all items were rated as relevant for the assessment of common responses to the disappearance of a loved one. Only minor changes were made to the wording of the items based on the experts' feedback. CONCLUSIONS: These descriptive results indicate that the ALI+ seems to cover the intended concept, thus showing promising face and content validity. However, further psychometric evaluations of the ALI+ are needed.