A Bibliometric and Visual Analysis of the Current Status and Trends of Forensic Mixed Stain Research.

OBJECTIVES: To explore the context and hotspot changes of forensic mixed stain research through bibliometric approach. METHODS: The literature of forensic mixed stain included in the core collection of Web of Science database from 2011 to 2022 were collected as the study object, and the annual publication number, countrie (region), institution, journal, keywords, etc. were bibliometrically and visually analyzed using the R-based Bibliometrix 1.1.6 package and VOSviewer 1.6.18 software. RESULTS: A total of 732 articles on forensic mixed stain were included from 2011 to 2022, with the annual number of articles published and the annual citation frequency showing a steady increase year by year. Among the 59 countries (regions) with the most published articles, the United States ranked first with 246 articles, followed by China with 153 articles. The literature came from 104 journals, and the total number of articles published in the top 10 journals was 633. FORENSIC SCI INT GENET ranked first with 307 articles. Visual analysis using VOSviewer software showed that keywords could be divided into four research clusters, namely the genetic marker development group (blue), the mixed stain typing analysis theory group (red), the sequencing analysis group (yellow), and the case sample research group (green). It can be divided into four development stages in terms of different time periods: early development (2011-2013), middle development (2014-2016), rapid development (2017-2020) and latest development (2021-2022). CONCLUSIONS: The number of publications by domestic and foreign scholars in the study of mixed stain in forensic science is showing a relatively stable trend. Machine learning, next generation sequencing and other research have been the hottest topics that have attracted the most attention in recent years, which is expected to further develop the theory of mixed stain typing and sequencing analysis in forensic mixed stain research.

Visualization Analysis of Artificial Intelligence Literature in Forensic Research.

OBJECTIVES: To analyze the literature on artificial intelligence in forensic research from 2012 to 2022 in the Web of Science Core Collection Database, to explore research hotspots and developmental trends. METHODS: A total of 736 articles on artificial intelligence in forensic medicine in the Web of Science Core Collection Database from 2012 to 2022 were visualized and analyzed through the literature measuring tool CiteSpace. The authors, institution, country (region), title, journal, keywords, cited references and other information of relevant literatures were analyzed. RESULTS: A total of 736 articles published in 220 journals by 355 authors from 289 institutions in 69 countries (regions) were identified, with the number of articles published showing an increasing trend year by year. Among them, the United States had the highest number of publications and China ranked the second. Academy of Forensic Science had the highest number of publications among the institutions. Forensic Science International, Journal of Forensic Sciences, International Journal of Legal Medicine ranked high in publication and citation frequency. Through the analysis of keywords, it was found that the research hotspots of artificial intelligence in the forensic field mainly focused on the use of artificial intelligence technology for sex and age estimation, cause of death analysis, postmortem interval estimation, individual identification and so on. CONCLUSIONS: It is necessary to pay attention to international and institutional cooperation and to strengthen the cross-disciplinary research. Exploring the combination of advanced artificial intelligence technologies with forensic research will be a hotspot and direction for future research.

The Latest Research Progress on Cell-Free DNA and Prospects of Its Forensic Application.

In recent years, with the continuous progress of DNA extraction and detection technology, cell-free DNA(cfDNA)has been widely used in the life science field, and its potential application value in forensic identification is becoming more and more obvious. This paper reviews the concept, formation mechanism, and classification of cfDNA, etc., and describes the latest research progress of cfDNA in personal identification of crime scene touch DNA samples and non-invasive prenatal paternity testing (NIPPT). Meanwhile, this paper summarizes the potential application of cfDNA in injury inference, and discusses the advantages and disadvantages of common cfDNA analysis methods and techniques, and its application prospects, to provide a new idea for the wide application of cfDNA in the field of forensic science.

Ground penetrating radar and electrical resistivity tomography surveys with a subsequent intrusive investigation in search for the missing Beaumont children in Adelaide, South Australia.

Jane, Arnna, and Grant Beaumont went missing from Glenelg Beach in Adelaide, South Australia on 26 January (Australia Day) 1966. Despite multiple land and sea searches over nearly 60 years, the children have not been found. New credible eyewitness testimony led to a site of interest at the now disused New Castalloy factory in North Plympton, Adelaide. This site has a complex stratigraphy of anthropogenic fill, which made ground penetrating radar (GPR) investigations unpromising. Electrical resistivity tomography (ERT), while not commonly used in a forensic capacity, provided an alternative approach that allowed suitable depth penetration to resolve a feature of interest, which was subsequently excavated by the South Australia Police. This feature did contain organic, and animal remains but, sadly, not the grave of Jane, Arnna, and Grant Beaumont. However, this investigation highlights the potential to use ERT in a forensic capacity, as well as the limitations of using geophysical techniques for covert burial detection.

The Sydney Declaration - An unique opportunity for Africa.

The Sydney Declaration (SD) has the inherent virtue of shifting the focus from the tools used in forensic science to the fundamental characteristics of appropriate forensic practice analysis of a situation and all related trace data for the purpose of resolving a case. Though several differences might be observed between countries regarding the technologies used, the fundamental principle of forensic logical reasoning are universally applicable to all contexts and environments and not only restricted to sophisticated, well-resourced, established forensic science laboratories based in countries that offer adequate resources, strong networks and legal frameworks. In Africa, several countries lack resources to train practitioners and to develop forensic science institutes, laboratories and other relevant institutions. The SD can serve as departure point to attain appropriate forensic science outcomes. Upholding its sound guidance can help forensic science practitioners remain faithful to their science, acknowledge their limits, give expert opinions based solely on facts and scientific analysis and interpretation, whilst also enhancing communication with their stakeholders. As forensic science develops in Africa, the SD presents a timely opportunity for us to proceed with a common understanding and a solid foundation through which our field can grow.

Forensic analysis of iOS binary cookie files.

iPhone operating system (iOS) devices utilize binary cookies as a data storage tool, encoding user-specific information within an often-neglected element of smartphone analysis. This binary format contains details such as cookie flags, expiration, and creation dates, domain, and value of the cookie. These data are invaluable for forensic investigations. This study presents a comprehensive methodology to decode and extract valuable data from these files, enhancing the ability to recover user activity information from iOS devices. This paper provides an in-depth forensic investigation into the structure and function of iOS binary cookie files. Our proposed forensic technique includes a combination of reverse engineering and custom-built Python scripts to decode the binary structure. The results of our research demonstrate that these cookie files can reveal an array of important digital traces, including user preferences, visited websites, and timestamps of online activities. It concludes that the forensic analysis of iOS binary cookie files can be a tool for forensic investigators and cybersecurity professionals. In the rapidly evolving domain of digital forensics, this research contributes to our understanding of less-explored data sources within iOS devices and their potential value in investigative contexts.

Exploring the ethical dimensions in forensic entomology: From codes of conduct to professional accountability.

This article investigates a critical part of professional careers: adhering to a code of ethics that defines proper behavior within the context of one's specialized practice. It aims to improve the setting of forensic entomology work by highlighting the ethical issues that frequently emerge. The primary goal is to uncover common ethical issues involved in this field's everyday activities and provide informed advice on appropriate resolution options. This investigation dives into the complex interaction of religious beliefs, cultural aspects, and issues of ethics, evaluating their relevance in forensic entomology. It examines a wide range of ethical issues, from the ethics involved in collecting samples at crime scenes and morguesto the ethics created into scientific investigations, report writing, and court testimony. These guiding principles are critical in setting scientific standards and building public trust in forensic entomology's ability to provide exceptional services. Notably, regardless of whether the forensic entomology service provider is accredited by any validating organization, these ethical requirements remain critical, emphasizing their global application.

Special Issue "Molecular Biology in Forensic Science: Past, Present and Future".

Molecular biology has always represented an enviable tool in the fields of biosciences, diagnostics, and forensic sciences [...].

Towards a forensic semiotics.

For years, forensic science has been criticized for its lack of scientific foundations, explaining its methodological drawbacks. Notwithstanding recommendations to upgrade quality management and counter cognitive biases, the ontology of the trace and the very nature of forensic science amplified by its decision context is rarely invoked as sources of inescapable errors. Understanding what (forensic) science is could even reconcile the prescriptive approach and the descriptive cognitive reality, through an unexplored pathway, Peirce's semiotics. The implementation of a semiotic line of arguments could concur to the transparency of scientific opinions for security and justice purposes, with rich potentialities in sight.

[The accuracy of the causes of death with judicial intervention in Catalonia in the period 2015-2020. Effect of declaration through IML-Web application]. / La precisión de las causas de defunción con intervención judicial en Cataluña en el periodo 2015-2020. Efecto de la declaración a través de la aplicación IML-Web.

OBJECTIVE: On January first, 2020, the Institutes of Legal Medicine and Forensic Sciences (IMLCF) began to inform the causes of death directly to the National Statistics Institute (INE) through a web application (IML-Web). The objective of this study was to evaluate the impact of the implementation of this application on the quality of the data collected. METHODS: A descriptive study using deaths data with judicial intervention that occurred in Catalonia was carried out. The data of the period 2015-2018 and 2019 was compared with 2020. The percentages, with confidence intervals, of the causes of death that were not specific, according to different classifications, were calculated on the total of cases by period and territory. RESULTS: The total percentage of non-specific deaths had decreased, not significantly, by 1.6 points between the period 2015-2018 and 2020. The same indicator between 2019 and 2020 had decreased by 13.4 points. The percentage of non-specific deaths from external causes showed significant drops between both periods and 2020. In general, the indicators displayed territorial differences. CONCLUSIONS: The roll-out of the IML-Web implies, compared to 2019, an improvement in the quality of the data. On the other hand, compared to the period 2015-2018, the data show a similar level of quality. Generally, it is assessed that the information provided by IMLCF of Catalonia through the IML-Web is accurate, but still has room for improvement.

OBJECTIVE: A partir del 1 enero de 2020, los Institutos de Medicina Legal y Ciencias Forenses (IMLCF) empezaron a declarar las causas de muerte directamente al Instituto Nacional de Estadística (INE) mediante una aplicación web (IML-Web). El objetivo de este trabajo fue evaluar el impacto de la implementación de esta aplicación en la calidad de los datos recogidos. METHODS: Se realizó un estudio descriptivo utilizando datos de las defunciones con intervención judicial ocurridas en Cataluña. Se comparó la información del período 2015-2018 y de 2019 con la de 2020. Se calcularon los porcentajes, con intervalo de confianza, de las causas de defunción poco específicas, según diferentes clasificaciones, sobre el total de causas por período y división judicial. RESULTS: El porcentaje total de causas de defunción poco específicas se redujo, de forma no significativa, 1,6 puntos entre el período 2015-2018 y el año 2020. El mismo indicador entre el año 2019 y 2020 se redujo 13,4 puntos. El porcentaje de defunciones poco específicas de causas externas mostró reducciones estadísticamente significativas entre ambos períodos. En general los indicadores mostraron diferencias territoriales. CONCLUSIONS: La implementación del IML-Web en el año 2020 supone, en comparación con 2019, una mejora en la calidad de la información notificada. En cambio, si se compara con el período 2015-2018, los datos muestran una calidad similar. A nivel general se valora que la información proporcionada por el IMLCF de Cataluña a través del IML-Web es precisa, pero todavía tiene margen de mejora.

Assessing iPhone LiDAR & Recon-3D for determining area of origin in bloodstain pattern analysis.

Bloodstain pattern analysis (BPA) has proven to be a useful tool in forensic and criminal investigations for quite some time. Traditionally, documenting a crime scene for a bloodletting event was completed using manual techniques, physical strings, and a tape measure. In more recent years, laser scanners and 3D software programs have become a preferred method to capture accurate data that improves the validity and reliability of BPA. The initial cost of laser scanning equipment is relatively high, rendering these systems inaccessible to some police and smaller agencies. Recon-3D is a newly developed iPhone application that utilizes the iPhone LiDAR sensor in combination with video data to create 3D point clouds of crime scenes. To assess the viability of Recon-3D for area of origin analysis, two tests were performed. One was a series of bloodstain impacts which were analyzed in FARO Zone 3D software, while the second was a series of 6 repeated Recon-3D scans of two 90-degree walls which was then compared to the FARO Focus S350 scanner using CloudCompare software. A total of eight impact patterns were made at three different distances from a wall. The area of origin was measured and compared to the known location of the blood source. The average total 3D error for the area of origin set at 25, 50, and 100 cm from two perpendicular walls was found to be 6.04, 15.16, and 36.59 cm, respectively. These results are similar to past studies where programs such as HemoSpat have been used. The results of the point cloud comparison show that on average, 95% of the points from Recon-3D fall below a threshold of 3.6 mm when compared to a FARO Focus S350 laser scanner. Thus, the results of this test suggest that Recon-3D is an accurate and affordable scanning application for bloodstain patterns at crime scenes and the data provide acceptable results for area of origin analysis in BPA programs which accept laser scanner data.

Prescription eyeglasses as a forensic physical evidence: Prediction of age based on refractive error measures using machine learning algorithm.

Refractive errors (RE) are commonly reported visual impairment problems worldwide. Previous clinical studies demonstrated age-related changes in human eyes. We hypothesized that the binocular RE metrics including sphere and cylinder power, axis orientation, and interpupillary distance (IPD) can be used for forensic age estimation of an unknown individual. RE data of both eyes were collected from the clinical optometric exams and prescription glasses of 2027 Egyptian individuals aged between 2 to 93 years. The differences between age groups as well as sides, and sexual dimorphism were explored. Two modeling methods were compared: multiple and stepwise linear regression (LR) versus machine learning Regression Forest (RFM). Data were apportioned into training and test datasets with a ratio of 80/20. The results showed significant differences among the age groups in each eye for all variables. Stepwise LR improved the results over models based on the one-sided lens due to selection of IPD in addition to the left and right axis, and left sphere as independent variables. For the RFM, the left axis and IPD were the most important features. RFM outperformed LR in terms of accuracy and root mean squared error (RMSE). The estimated age within ±10 years showed 81.4% accuracy rate and RMSE = 8.9 years versus 38.5% accuracy rate and RMSE = 17.99 years using RFM and stepwise LR, respectively, in the test set. The current study upholds the significance of the age-related changes of refractive error in formulating alternative forensic age estimation models when standard methods are unavailable.

Forensic evidence preservation following an incident of rape: The role of the victim.

BACKGROUND:  Rape has a high prevalence in South Africa. The collection of credible and valid forensic evidence is a key legal factor that impacts case trial outcomes. Victim behaviour around the time of the rape can impact the collection and the integrity of forensic evidence, and can have a direct effect on case progression and conviction. Despite the importance of victim behaviour, few studies have been done on the role of victims in preserving forensic evidence. This article discusses how common personal hygiene practices undertaken by rape victims after being raped can impact the quality and validity of forensic evidence. This investigation was done with the aim of elucidating the role of victims in preserving forensic evidence post rape. METHODS:  This was a descriptive, retrospective clinical audit of all rape victims managed at Robert Mangaliso Sobukwe Hospital forensic unit in South Africa from 01 January 2020 to 31 March 2022. RESULTS:  A total of 192 rape cases over the study period were included in this review. The median age of rape victims was 20 years (minimum 2 years; maximum 76 years). The majority (n = 178; 92.7%) of the victims were female. About 44.8% (n = 86) of the victims reported that they had urinated post-rape and prior to forensic examination, 20.8% (n = 40) had changed their clothing, 8.3% (n = 16) had showered, 6.8% (n = 13) had bathed, 4.2% (n = 8) had douched, and only 1.0% (n = 2) had defecated. Only 44 (22.9%) of the victims reported to have ingested alcohol or spiked drinks before the rape. CONCLUSION:  These findings suggest that some rape victims engaged in personal hygiene practices that could militate against forensic evidence preservation. This finding, therefore, indicates the need for public awareness about ways to preserve evidence to the greatest extent possible after an incident of rape.Contribution: We provide simple guidelines for victims on the preservation of forensic evidence following rape and before detailed forensic medical examination and evidence collection.

geoFOR: A collaborative forensic taphonomy database for estimating the postmortem interval.

Accurately assessing the postmortem interval (PMI), or the time since death, remains elusive within forensic science research and application. This paper introduces geoFOR, a web-based collaborative application that utilizes ArcGIS and machine learning to deliver improved PMI predictions. The geoFOR application provides a standardized, collaborative forensic taphonomy database that gives practitioners a readily available tool to enter case information that automates the collection of environmental data and delivers a PMI prediction using statistically robust methods. After case submission, the cross-validating machine learning PMI predictive model results in a R² value of 0.82. Contributors receive a predicted PMI with an 80% confidence interval. The geoFOR database currently contains 2529 entries from across the U.S. and includes cases from medicolegal investigations and longitudinal studies from human decomposition facilities. We present the overall findings of the data collected so far and compare results from medicolegal cases and longitudinal studies to highlight previously poorly understood limitations involved in the difficult task of PMI estimation. This novel approach for building a reference dataset of human decomposition is forensically and geographically representative of the realities in which human remains are discovered which allows for continual improvement of PMI estimations as more data is captured. It is our goal that the geoFOR data repository follow the principles of Open Science and be made available to forensic researchers to test, refine, and improve PMI models. Mass collaboration and data sharing can ultimately address enduring issues associated with accurately estimating the PMI within medicolegal death investigations.

Monitoring of simulated clandestine graves of victims using UAVs, GPR, electrical tomography and conductivity over 4-8 years post-burial to aid forensic search investigators in Colombia, South America.

In Colombia there are estimated to be over 121,000 missing people and victims of forced disappearances. Forensic investigators therefore need assistance in determining optimal detection techniques for buried victims, to give victims' families closure and for the wider community to see that justice is being served. Previous research has created 12 controlled simulated clandestine graves of typical Colombian murder victim scenarios at 0.5 m - 1.2 m depths in savannah and rainforest sites in Colombia. The 0-3 years of geophysical monitoring results of were published, with this paper reporting on 4-8 years monitoring of both UAV drone results and geophysical data. The UAV results from the year 8 survey, published for first time from Colombia, showed that the simulated graves could still be located using NDVI and NIR multi-spectral data, but not using optical or other multi-spectral data. The 0-3 years of geophysical data found the simulated clandestine graves could be detected with electrical resistivity and GPR methods, with the 4-8 year surveys evidencing that they could still be detected using bulk ground conductivity surveys, GPR horizontal time slice datasets and 2D ERT profiles. Research implications suggest initial use of UAV remote sensing technology to pinpoint likely search areas, before subsequent ground reconnaissance, geophysical surveys and their interpretation, before intrusive investigation methods are employed for detecting missing and disappeared persons in Colombia.

Use of different imaging techniques in stab wound analysis.

Stab wound analysis is a relatively new field of study in forensic science, and there is currently much debate regarding the effectiveness of the analysis due to a lack of validation studies. Furthermore, the underlying viewpoints on the success of stab wound analysis vary. Examination of cut marks, for example, can reveal a variety of characteristics which can be used to determine the type of weapon that was used to inflict them. However, published studies are not consistent when identifying knife blade characteristics, instead considering a wide variety of morphological aspects and their potential value in forensic scenarios. The existing research methodology is therefore inadequate to reliably inform in such contexts, and future experimental design should be influenced by the conditional variance in stabbings in order to provide reliable findings. The research presented here takes a systematic approach to the problem, compiling the published literature (up to September 2023) on the use of different imaging methods applied to stab wound examination to create a taxonomy to examine trends in methodological approaches in both research and investigative settings. This approach identified that published studies could be classified as either morphological or morphometrical, and further sub-classified based on their degree of success and the findings reached. This emphasises the importance of prioritising research into mark data, and the need for a multi-technique, multi-disciplinary approach. A decision tree was created to illustrate which mark attributes should be studied for which purpose, and using which imaging method(s). Furthermore, the research presented identifies two key areas in stab wound research which should be the focus of standardisation efforts, namely methodological procedures and mark characteristic collection. Knife markings are difficult to interpret, but further research and standardisation of kerf mark analysis, as highlighted here, will improve the efficiency and reliability of both forensic investigations and future experimental studies.

Alterations in microbiome of COVID-19 patients and its impact on forensic investigations.

The human microbiome is vital for maintaining human health and has garnered substantial attention in recent years, particularly in the context of the coronavirus disease 2019 (COVID-19) outbreak. Studies have underscored significant alterations in the microbiome of COVID-19 patients across various body niches, including the gut, respiratory tract, oral cavity, skin, and vagina. These changes manifest as shifts in microbiota composition, characterized by an increase in opportunistic pathogens and a decrease in beneficial commensal bacteria. Such microbiome transformations may play a pivotal role in influencing the course and severity of COVID-19, potentially contributing to the inflammatory response. This ongoing relationship between COVID-19 and the human microbiome serves as a compelling subject of research, underscoring the necessity for further investigations into the underlying mechanisms and their implications for patient health. Additionally, these alterations in the microbiome may have significant ramifications for forensic investigations, given the microbiome's potential in establishing individual characteristics. Consequently, changes in the microbiome could introduce a level of complexity into forensic determinations. As research progresses, a more profound understanding of the human microbiome within the context of COVID-19 may offer valuable insights into disease prevention, treatment strategies, and its potential applications in forensic science. Consequently, this paper aims to provide an overarching review of microbiome alterations due to COVID-19 and the associated impact on forensic applications, bridging the gap between the altered microbiome of COVID-19 patients and the challenges forensic investigations may encounter when analyzing this microbiome as a forensic biomarker.