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Blood is a common biological fluid in forensic investigations, offering significant evidential value. Currently employed presumptive blood tests often lack specificity and are sample destructive, which can compromise downstream analysis. Within this study, the development of an optical biosensor for detecting human red blood cells (RBCs) has been explored to address such limitations. Aptamer-based biosensors, termed aptasensors, offer a promising alternative due to their high specificity and affinity for target analytes. Aptamers are short, single-stranded DNA or RNA sequences that form stable three-dimensional structures, allowing them to bind to specific targets selectively. A nanoflare design has been employed within this work, consisting of a quenching gold nanoparticle (AuNP), DNA aptamer sequences, and complementary fluorophore-labelled flares operating through a fluorescence resonance energy transfer (FRET) mechanism. In the presence of RBCs, the aptamer–flare complex is disrupted, restoring fluorescence and indicating the presence of blood. Two aptamers, N1 and BB1, with a demonstrated binding affinity to RBCs, were selected for inclusion within the nanoflare. This study aimed to optimise three features of the design: aptamer conjugation to AuNPs, aptamer hybridisation to complementary flares, and flare displacement in the presence of RBCs. Fluorescence restoration was achieved with both the N1 and BB1 nanoflares, demonstrating the potential for a functional biosensor to be utilised within the forensic workflow. It is hoped that introducing such an aptasensor could enhance the forensic workflow. This aptasensor could replace current tests with a specific and sensitive reagent that can be used for real-time detection, improving the standard of forensic blood analysis. [ABSTRACT FROM AUTHOR]

Scapula shape is highly variable across humans and appears to be sexually dimorphic—differing significantly between biological males and females. However, previous investigations of sexual dimorphism in scapula shape have not considered the effects of allometry (the relationship between size and shape). Disentangling allometry from sexual dimorphism is necessary because apparent sex‐based differences in shape could be due to inherent differences in body size. This study aimed to investigate sexual dimorphism in scapula shape and examine the role of allometry in sex‐based variation. We used three‐dimensional geometric morphometrics with Procrustes ANOVA to quantify scapula shape variation associated with sex and size in 125 scapulae. Scapula shape significantly differed between males and females, and males tended to have larger scapulae than females for the same body height. We found that males and females exhibited distinct allometric relationships, and sexually dimorphic shape changes did not align with male‐ or female‐specific allometry. A secondary test revealed that sexual dimorphism in scapula shape persisted between males and females of similar body heights. Overall, our findings indicate that there are sex‐based differences in scapula shape that cannot be attributed to size‐shape relationships. Our results shed light on the potential role of sexual selection in human shoulder evolution, present new hypotheses for biomechanical differences in shoulder function between sexes, and identify relevant traits for improving sex classification accuracy in forensic analyses. [ABSTRACT FROM AUTHOR]

Background: Child abuse in Taiwan is a major societal concern that severely affects the well-being of children. Despite the complexity in detecting abuse, reports of child abuse are increasing, evidenced by a rise in cases and heightened awareness. This study utilizes judicial judgments as a lens to understand the varied interpretations of child abuse by clinical and forensic experts and explores the broader epidemiological trends of such abuse within the declining youth population of Taiwan. Methods: We conducted a retrospective study by analyzing official court judgments on child abuse allegations judged from 2008 to 2022 from the online database of Judicial Yuan. Furthermore, the study analyzed demographic factors, injury patterns, and opinions from various experts. Results: The results reveal that severe criminal cases of child abuse predominantly involve biological fathers as the primary offenders and physical abuse as the most common form of maltreatment. Victims are typically aged less than 5 years, which frequently leads to an unfavorable prognosis. Analysis also highlights the TEN-4-FACESp acronym as a highly predictive indicator of child abuse and underscores the prevalence of abusive head trauma (AHT). Moreover, the findings emphasize ongoing disparities in opinions between forensic medical examiners and clinical physicians, especially in AHT cases, which potentially influences judicial decisions. Conclusions: In summary, the study reveals ongoing disagreements between forensic medical examiners and clinical physicians, especially in cases of AHT, which may impact judicial decisions. Promoting consensus through interdisciplinary collaboration and improved communication can aid in revealing the truth in child abuse cases. [ABSTRACT FROM AUTHOR]

Background: diatoms are unicellular algae that have been used for more than a century for forensic purposes to diagnose drowning, with more or less success depending on the historical era. Although many years have passed, scientific research on diatoms has never ceased, which testifies to their enduring allure in forensics. Of course, diatom research has evolved and expanded over time, changing with the availability of new techniques and technologies. The volume of articles and their production over a period of many years has resulted in old, current, and new knowledge on diatoms being scattered over a large number of books and articles. Objectives: the purpose of this narrative literature review is, therefore, to summarize all this information and bring it together in a single work that can be useful for those who are studying diatoms and their usefulness for forensics for the first time, for those who are looking for proven methods of analysis, and finally for those who are interested in exploring new frontiers of research. Methods: a comprehensive literature search that included all studies dealing with the applications of diatoms in forensic science was performed in the most popular electronic databases. Results: traditional methods have been complemented by molecular and imaging methods and, more recently, by artificial intelligence. In addition, new biological substrates have been found for the analysis of diatoms. Conclusions: all this has led, on the one hand, to the consolidation of a whole body of knowledge on diatoms, on which this forensic analysis is still based, and, on the other hand, has opened up numerous new research directions. [ABSTRACT FROM AUTHOR]

Combating wildlife crimes in South Africa requires accurate identification of traded species and their products. Diagnostic morphological characteristics needed to identify species are often lost when specimens are processed and customs officials lack the expertise to identify species. As a potential solution, DNA barcoding can be used to identify morphologically indistinguishable specimens in forensic cases. However, barcoding is hindered by the reliance on comprehensive, validated DNA barcode reference databases, which are currently limited. To overcome this limitation, we constructed a barcode library of cytochrome c oxidase subunit 1 and cytochrome b sequences for threatened and protected mammals exploited in southern Africa. Additionally, we included closely related or morphologically similar species and assessed the database's ability to identify species accurately. Published southern African sequences were incorporated to estimate intraspecific and interspecific variation. Neighbor-joining trees successfully discriminated 94%–95% of the taxa. However, some widespread species exhibited high intraspecific distances (>2%), suggesting geographic sub-structuring or cryptic speciation. Lack of reliable published data prevented the unambiguous discrimination of certain species. This study highlights the efficacy of DNA barcoding in species identification, particularly for forensic applications. It also highlights the need for a taxonomic re-evaluation of certain widespread species and challenging genera. [ABSTRACT FROM AUTHOR]

Metagenomic studies have revolutionized the study of novel phages. However these studies trade depth of coverage for breadth. We show that the targeted sequencing of a small region of a phage terminase family can provide sufficient sequence diversity to serve as an individual-specific barcode or a "phageprint", defined as the relative abundance profile of the variants within a terminase family. By collecting ~700 oral samples from ~100 individuals living on multiple continents, we found a consistent trend wherein each individual harbors one or two dominant variants that coexist with numerous low-abundance variants. By tracking phageprints over the span of a month across ten individuals, we observed that phageprints were generally stable, and found instances of concordant temporal fluctuations of variants shared between partners. To quantify these patterns further, we built machine learning models that, with high precision and recall, distinguished individuals even when we eliminated the most abundant variants and further downsampled phageprints to 2% of the remaining variants. Except between partners, phageprints are dissimilar between individuals, and neither country-of-residence, genetics, diet nor cohabitation seem to play a role in the relatedness of phageprints across individuals. By sampling from six different oral sites, we were able to study the impact of millimeters to a few centimeters of separation on an individual's phageprint and found that such limited spatial separation results in site-specific phageprints. [ABSTRACT FROM AUTHOR]

As digital crime continues to rise, the preservation of digital evidence has become a critical phase in digital forensic investigations. This phase focuses on securing and maintaining the integrity of evidence for legal proceedings. Existing solutions for evidence preservation, such as centralized storage systems and cloud frameworks, present challenges related to security and collaboration. In this paper, we propose a novel framework that addresses these challenges in the preservation phase of forensics. Our framework employs a combination of advanced technologies, including the following: (1) Segmenting evidence into smaller components for improved security and manageability, (2) Utilizing steganography for covert evidence preservation, and (3) Implementing blockchain to ensure the integrity and immutability of evidence. Additionally, we incorporate Long Short-Term Memory (LSTM) networks to enhance steganography in the evidence preservation process. This approach aims to provide a secure, scalable, and reliable solution for preserving digital evidence, contributing to the effectiveness of digital forensic investigations. An experiment using linguistic steganography showed that the LSTM autoencoder effectively generates coherent text from bit streams, with low perplexity and high accuracy. Our solution outperforms existing methods across multiple datasets, providing a secure and scalable approach for digital evidence preservation. [ABSTRACT FROM AUTHOR]

Background: The thresholds of mechanical inputs for bruising caused by blunt impact are important in the fields of machine safety and forensics. However, reliable data on these thresholds remain inadequate owing to a lack of in vivo experiments, which are crucial for investigating the occurrence of bruising. Since experiments involving live human participants are limited owing to ethical concerns, finite-element method (FEM) simulations of the bruising mechanism should be used to compensate for the lack of experimental data by estimating the thresholds under various conditions, which requires clarifying the mechanism of formation of actual bruises. Therefore, this study aimed to visualize the mechanism underlying the formation of bruises caused by blunt impact to enable FEM simulations to estimate the thresholds of mechanical inputs for bruising. Methods: In vivo microscopy of a transparent glass catfish subjected to blunt contact with an indenter was performed. The fish were anesthetized by immersing them in buffered MS-222 (75–100 mg/L) and then fixed on a subject tray. The indenter, made of transparent acrylic and having a rectangular contact area with dimensions of 1.0 mm × 1.5 mm, was loaded onto the lateral side of the caudal region of the fish. Blood vessels and surrounding tissues were examined through the transparent indenter using a microscope equipped with a video camera. The contact force was measured using a force-sensing table. Results: One of the processes of rupturing thin blood vessels, which are an essential component of the bruising mechanism, was observed and recorded as a movie. The soft tissue surrounding the thin blood vessel extended in a plane perpendicular to the compressive contact force. Subsequently, the thin blood vessel was pulled into a straight configuration. Next, it was stretched in the axial direction and finally ruptured. Conclusion: The results obtained indicate that the extension of the surrounding tissue in the direction perpendicular to the contact force as well as the extension of the thin blood vessels are important factors in the bruising mechanism, which must be reproduced by FEM simulation to estimate the thresholds. [ABSTRACT FROM AUTHOR]

This narrative review explores the potential, complexities, and consequences of using artificial intelligence (AI) to screen large government-held facial image databases for the early detection of rare genetic diseases. Government-held facial image databases, combined with the power of artificial intelligence, offer the potential to revolutionize the early diagnosis of rare genetic diseases. AI-powered phenotyping, as exemplified by the Face2Gene app, enables highly accurate genetic assessments from simple photographs. This and similar breakthrough technologies raise significant privacy and ethical concerns about potential government overreach augmented with the power of AI. This paper explores the concept, methods, and legal complexities of AI-based phenotyping within the EU. It highlights the transformative potential of such tools for public health while emphasizing the critical need to balance innovation with the protection of individual privacy and ethical boundaries. This comprehensive overview underscores the urgent need to develop robust safeguards around individual rights while responsibly utilizing AI's potential for improved healthcare outcomes, including within a forensic context. Furthermore, the intersection of AI and sensitive genetic data necessitates proactive cybersecurity measures. Current and future developments must focus on securing AI models against attacks, ensuring data integrity, and safeguarding the privacy of individuals within this technological landscape. [ABSTRACT FROM AUTHOR]

Simple Summary: As an important group of species in forensic entomology, sarcosaprophagous beetles can provide valuable clues to the postmortem interval of cadavers, especially in the late stages of decay. However, compared with flies, these species have not received much attention, and their potential value in forensic science is yet to be fully exploited. Therefore, in order to attract people's attention to them and to increase their use in forensic practice, we conducted a bibliometric analysis of the literature on sarcosaprophagous beetles, statistically analyzed the beetles mentioned in successions, cases, and other experiments in relation to cadavers, briefly introduced each family of sarcosaprophagous beetles, and discussed the value of their immature species identification and forensic postmortem interval estimation. In forensic entomology, research focused on sarcosaprophagous flies, but the sarcosaprophagous beetles, as important "forensic indicator species" of late-stage PMI in cadaver decomposition, received less attention. To increase attention on, and use and understanding of, sarcosaprophagous beetles in forensic entomology, this paper presents a bibliometric analysis of the available relevant literature. The occurrence frequency of beetle families and species from succession studies, actual cases, and experiments were calculated and illustrated using graphs. As a result, a total of 14 families and 1077 species associated with carcasses were collected, with Staphylinidae being the most frequently recorded among the families, and Necrobia rufipes (Fabricius, 1781) (Coleoptera: Cleridae) being the most frequently recorded species. In addition, a brief introduction of the cadaver-related beetles of each family is given, and research on the species identification of the immature stages, age estimation of the immature stages, and estimation of the arrival time of sarcosaprophagous beetles are discussed and prospected. This work will aid in the increased use of sarcosaprophagous beetles in forensic science practice in the future. [ABSTRACT FROM AUTHOR]

Sarcophaga (=Parasarcophaga) (Liopygia) ruficornis (Fabricius, 1794) is a species of medical–veterinary and forensic importance, as its immatures cause myiasis in humans and animals and colonize carcasses and cadavers. Therefore, investigations into the biology and morphology of this species, with a particular focus on pupae that constitute ≥50% of the developmental period for the immatures, are pertinent. Although there are biological and morphological studies of pupae, the intrapuparial development at different temperatures has not yet been analysed. Therefore, the present study aimed to describe how temperature (22, 27 and 32 ± 1°C) affects the development and morphology of S. (L.) ruficornis pupae at 60 ± 10% relative humidity and a 12‐h photoperiod. Ten pupae were collected, euthanized and fixed every 4 h from pupariation until 24 h and every 8 h until the emergence of the first adult. Emergence occurred at 440, 272 and 232 h at 22, 27 and 32°C, with 590, 380 and 330 pupae, respectively. The highest mortality occurred at 32°C. Eight periods were defined, and sex was determined in pharate adult stage; in addition, 40 key morphological characteristics to estimate pupal age were presented. These findings can serve as a basis for studies on the biology and morphology of the pupa of S. (L.) ruficornis, particularly in bionomics, control and forensics, helping researchers and experts. [ABSTRACT FROM AUTHOR]

This work reports on the development of an analyte sampling strategy on a plasmonic substrate to amplify the detection capability of a dual analytical system, paper spray ionization–mass spectrometry (PSI-MS) and surface-enhanced Raman spectroscopy (SERS). While simply applying only an analyte solution to the plasmonic paper results in a limited degree of SERS enhancement, the introduction of plasmonic gold nanoparticles (AuNPs) greatly improves the SERS signals without sacrificing PSI-MS sensitivity. It is initially revealed that the concentration of AuNPs and the type of analytes highly influence the SERS signals and their variations due to the "coffee ring effect" flow mechanism induced during sampling and the degree of the interfacial interactions (e.g., van der Waals, electrostatic, covalent) between the plasmonic substrate and analyte. Subsequent PSI treatment at high voltage conditions further impacts the overall SERS responses, where the signal sensitivity and homogeneity significantly increase throughout the entire substrate, suggesting the ready migration of adsorbed analytes regardless of their interfacial attractive forces. The PSI-induced notable SERS enhancements are presumably associated with creating unique conditions for local aggregation of the AuNPs to induce effective plasmonic couplings and hot spots (i.e., electromagnetic effect) and for repositioning analytes in close proximity to a plasmonic surface to increase polarizability (i.e., chemical effect). The optimized sampling and PSI conditions are also applicable to multi-analyte analysis by SERS and MS, with greatly enhanced detection capability and signal uniformity. [ABSTRACT FROM AUTHOR]

Forensics is a complex science that makes use of numerous techniques, methods and procedures from various fields in order to discover traces, facts or circumstances and turn them into evidence. The development of forensics is spectacular and overlaps with advances in other sciences such as chemistry, physics, medicine, computer science, biology, geology, anthropology, etc. The applicability of forensics is not limited to criminal trials, but is useful in all legal, administrative and other areas. In the context of the crisis and the deficits in various areas, the tendency to minimize the importance of forensics in the institutions for the training and improving specialists in this field is inexplicable. Deficits in the field of discovery and evaluation of evidence are one of the causes of the reduced efficiency of the judicial system and the decrease of confidence in justice. [ABSTRACT FROM AUTHOR]

Forensics, as a science and practice, is essential for solving criminal cases in compliance with the principles of criminal procedure, as well as for the correct administration of justice as a whole. As a discipline, forensic science is particularly complex, which is why it uses many methods, from the simplest ones based on human sensory organs, to the most complex ones, such as DNA analysis and modeling. At the same time, forensic examination and investigation is an important field of science for managing evidence in a criminal case and bringing criminals to justice. In the current context, in which crimes and criminal phenomena have acquired a new dimension through their internationalization and complexity, forensic examination and investigation implies the need to use advanced technologies, based on modern methods and tools, scientifically validated. Moreover, some of the methods and principles of forensics, as we will try to present them in the following lines, can also be applied in other areas of legal practice, such as the civil, administrative and contravention procedural field etc., in order to support in achieving their goal by using scientific methods and means in law enforcement and justice. As a science of law, the most important role of forensic methods is related to the adoption of legal and correct decisions, as a result of the contribution of innovative forensic thinking in the process of administration and evaluation of evidence in all judicial and extrajudicial cases under investigation. Through the prism of the forensic education strictly necessary for any jurist, through this study we aim to provide an overview of the complex system of methods of this science which, used in good faith, can certainly be in the service of truth and justice. In the first part of this article we will analyze the general methods of knowledge specific to several sciences. In the second part of the article, which will be published in the next issue of the journal, we will analyze the methods specific to the science of forensics, the methods specific to other sciences applied in forensics, the principles of forensics - criminal procedural principles, with an important role in finding the truth, concluding it with a series of conclusions. [ABSTRACT FROM AUTHOR]

The fast-evolving field of remote tele-assessment does not yet have official guidelines on ethical practice, but ethics codes and advisories offer salient points and recommended procedures. The American Psychological Association's (APA, 2017a) ethics code offers principles and standards that can guide researchers in neuropsychological assessment, but multiple challenges reduce the reliability and validity of the assessments undertaken in this modality. The article will focus on these challenges, which span the spectrum of the phases in practice, from informed consent to interpreting data for reports. Among other limitations compared to face-to-face assessments, tele-assessment might have technical, security, and privacy difficulties, issues in clarity in receiving auditory, visual, and nonverbal communication, and testing difficulties, for example, performance validity assessment. Therefore, the results of tests using neuropsychological tele-assessment forensically might lack the required reliability and validity, which acts to limit the conclusions that can be drawn from the data gathered and the generalizability. That said, the limited research is growing, and does demonstrate some equivalence in neuropsychological tele-assessment and in-person assessment. The article is based on an extensive literature search, and it includes a sample informed consent form that indicates the limitations of tele-assessment. The article considers forensic and clinical applications, as well. [ABSTRACT FROM AUTHOR]

Abstract Background Child abuse in Taiwan is a major societal concern that severely affects the well-being of children. Despite the complexity in detecting abuse, reports of child abuse are increasing, evidenced by a rise in cases and heightened awareness. This study utilizes judicial judgments as a lens to understand the varied interpretations of child abuse by clinical and forensic experts and explores the broader epidemiological trends of such abuse within the declining youth population of Taiwan. Methods We conducted a retrospective study by analyzing official court judgments on child abuse allegations judged from 2008 to 2022 from the online database of Judicial Yuan. Furthermore, the study analyzed demographic factors, injury patterns, and opinions from various experts. Results The results reveal that severe criminal cases of child abuse predominantly involve biological fathers as the primary offenders and physical abuse as the most common form of maltreatment. Victims are typically aged less than 5 years, which frequently leads to an unfavorable prognosis. Analysis also highlights the TEN-4-FACESp acronym as a highly predictive indicator of child abuse and underscores the prevalence of abusive head trauma (AHT). Moreover, the findings emphasize ongoing disparities in opinions between forensic medical examiners and clinical physicians, especially in AHT cases, which potentially influences judicial decisions. Conclusions In summary, the study reveals ongoing disagreements between forensic medical examiners and clinical physicians, especially in cases of AHT, which may impact judicial decisions. Promoting consensus through interdisciplinary collaboration and improved communication can aid in revealing the truth in child abuse cases.

Abstract Background The thresholds of mechanical inputs for bruising caused by blunt impact are important in the fields of machine safety and forensics. However, reliable data on these thresholds remain inadequate owing to a lack of in vivo experiments, which are crucial for investigating the occurrence of bruising. Since experiments involving live human participants are limited owing to ethical concerns, finite-element method (FEM) simulations of the bruising mechanism should be used to compensate for the lack of experimental data by estimating the thresholds under various conditions, which requires clarifying the mechanism of formation of actual bruises. Therefore, this study aimed to visualize the mechanism underlying the formation of bruises caused by blunt impact to enable FEM simulations to estimate the thresholds of mechanical inputs for bruising. Methods In vivo microscopy of a transparent glass catfish subjected to blunt contact with an indenter was performed. The fish were anesthetized by immersing them in buffered MS-222 (75–100 mg/L) and then fixed on a subject tray. The indenter, made of transparent acrylic and having a rectangular contact area with dimensions of 1.0 mm × 1.5 mm, was loaded onto the lateral side of the caudal region of the fish. Blood vessels and surrounding tissues were examined through the transparent indenter using a microscope equipped with a video camera. The contact force was measured using a force-sensing table. Results One of the processes of rupturing thin blood vessels, which are an essential component of the bruising mechanism, was observed and recorded as a movie. The soft tissue surrounding the thin blood vessel extended in a plane perpendicular to the compressive contact force. Subsequently, the thin blood vessel was pulled into a straight configuration. Next, it was stretched in the axial direction and finally ruptured. Conclusion The results obtained indicate that the extension of the surrounding tissue in the direction perpendicular to the contact force as well as the extension of the thin blood vessels are important factors in the bruising mechanism, which must be reproduced by FEM simulation to estimate the thresholds.

Smartphones contain a vast amount of information about their users, which can be used as evidence in criminal cases. However, the sheer volume of data can make it challenging for forensic investigators to identify and use the most relevant information. Neutrosophic logic is a generalization of fuzzy logic that allows for uncertainty and vagueness, making it a more potent tool for dealing with the ambiguity of real-world data. The proposed framework aims to identify and utilize the most relevant information for forensic investigators, making it easier to solve criminal cases using Neutrosophic logic. This novel approach provides a more powerful tool for dealing with the ambiguity of smartphone data, ultimately improving the accuracy and effectiveness of forensic investigations. Our research has utilized Neutrosophic logic to evaluate the degree of truth, falsity, or Indeterminacy of this information. Additionally, this study analyzes conversations between individuals using Excel's fuzzy lookup add-in to determine the percentage of truth and false in each conversation. The results were compiled into a dataset and utilized a Neutrosophic Python code to evaluate the information. The results indicate the percentage of truth, false, and Indeterminacy in each conversation and which can be used to determine its admissibility as evidence and which not. [ABSTRACT FROM AUTHOR]

Kurdish smugglers have been targeted and killed by security forces in Turkey's Van borderlands systematically and with impunity. In response, the killed smugglers' families and their lawyers conducted what I call vernacular counterforensics—the forensic examination both of the killings and of the legal authorities' failure to investigate them properly. Associating the Kurdish borderlands with terrorism, the legal authorities often avoided collecting evidence on the killings to make potential perpetrators remain unknown or legally authorize the killings. By documenting this impunity work through their counterforensics, Kurdish complainants and lawyers demonstrated the judiciary's complicity in the systemization of state anti‐Kurdish violence. While anthropological studies show that criminal law operates by individualizing violation claims and perpetrators, vernacular counterforensics illustrates a distinct use of criminal law that reveals, rather than blurs, the state crimes' systematic‐collective aspects. Rather than differentiating technoscientifically produced crime scene evidence from the political circumstances of state crimes, Kurdish complainants and their lawyers used the selective production of such evidence to corroborate the killings' unlawfulness and their systematic‐collective character. This dual use of forensic evidence permits us to rethink analytical and methodological premises that view forensic evidence as fully verifiable and universally applicable and contrast it against contextual and contingent knowledge forms. [ABSTRACT FROM AUTHOR]

This article seeks to examine the co-productions of security and emerging technologies in the two contexts of forensic genetics and forensic facial identification. These surfacing co-productions, deemed here as 'forensic biosecurity', are evolving rapidly in both theoretical and practical terms. Definitions and conceptualisations of security are contingent and multiple, impacting forensic biological techniques and innovations in both predictable and unpredictable ways. The military, counter-terrorism, law enforcement, immigration, customs, border patrol, mass disasters, cold case reviews, health, defence, private security, and biometric applications are just a few of the many security environments where forensic biological techniques are applied. The continual development of variations in forensic genetics and facial identification renders a futher blurring of traditional evidence with that of intelligence. Drawing in particular from Joly's (in: S. Hilgartner, C. Miller, and R. Hagendijk (eds) Science and democracy: Making knowledge and making power in the biosciences and beyond, Taylor and Francis, London, 2015) work on emerging technologies, forensic biosecurity is analysed from a science and technology studies (STS) perspective. An emerging technology in the initial stages is thought to be highly flexible with the potential impacts on society and criminal justice being possibly difficult to predict. Once the science and/or technology has become entrenched and mainstream, it may be difficult to change. The enthusiasm portrayed by law enforcement and security agencies regarding emerging technologies, shows that it is important to remain somewhat cautious about the proliferation of these techniques. While such science and technologies appear to be effective and innovative in the present, it is difficult to accurately forecast or predict the future consequences of such innovations. [ABSTRACT FROM AUTHOR]

Anaphylaxis is a life-threatening condition characterized by a rapid onset, requiring immediate intervention. It occurs through immunologic or non-immunologic mechanisms and can be triggered by various factors such as foods, medications or insect venoms. The spectrum of symptoms is broad, with skin, respiratory, and gastrointestinal symptoms being most commonly observed. Diagnosis relies on clinical criteria, with the primary treatment involving the intramuscular administration of adrenaline. Prevention involves avoiding triggers and if avoidance is not possible, desensitization should be considered. Deaths from anaphylactic shock are rare and often result from delayed or improper medical assistance and the absence of witnesses to summon help. It is estimated that around 1% of anaphylactic shock cases result in death. Deaths from intentional attempts to induce anaphylactic reactions through suicide are rare. Postmortem diagnosis presents a challenge due to the lack of specific changes, therefore it is essential to thoroughly assess the circumstances of death, medical history and exclude other potential causes. Identifying factors that may trigger an anaphylactic reaction, such as ingested foods or contact with allergens is crucial. A rapid and accurate diagnosis is key to avoid errors resulting from post-mortem processes. Histopathological examinations and the measurement of biochemical markers, such as tryptase and IgE levels, may be helpful in determining the cause of death.

Abstract The accurate classification of human activities in crime scenes during forensics (criminalistics) is of utmost importance in classifying suspicious and unlawful activities, easing their acceptability and interpretability by judges during legal procedures in courts or by other non-experts in the field of forensics. This paper implements machine learning (ML) algorithms: support vector machine (SVM) and decision tree (DT), to demonstrate with a high accuracy, how data emanating from smartphones’ sensors reveal and isolate relevant information about static and dynamic human activities in criminalistics. Smartphones’ data from five different sensors (accelerometer, gravity, orientation, Gyroscope and light), related to ten recurrent crime scenes activities, grouped into three classes of events (normal, felony and none-felony events) are classified by the proposed algorithms, with novelty being the classification decisions based on the entire period of the events and not instantaneous decision makings. Three independent data-subsets were made, with permutations done between them and at each time, two sets used for training and the third set used for testing. Time- and frequency-domain features were initially used separately and then combined for the model training and testing. The best average training accuracies of 100% and 97.8% were obtained for the DT and SVM, respectively, and the testing accuracies of 89.1% were obtained for both algorithms. We therefore believe that these results will serve as a solid persuasive and convincing argument to judges and non-experts of the field of forensics to accept and easily interpret computer-aided classification of suspicious activities emanating from criminalistic studies.

Integrating robots into industrial automation has led to a revolutionary transformation in executing complex tasks, harnessing precision and efficiency. The Robot Operating System (ROS) has played a significant role in driving this advancement. ROS Bag files in robots are crucial for preserving data, as they provide a format for recording and playing back ROS message data. These files serve as a comprehensive log of a robot's sensory inputs and operational activities, enabling detailed analysis and reconstruction of the robot's interactions and performance over time. However, there have been instances where security considerations were overlooked, giving rise to concerns about unauthorized access, data theft, and malicious actions. This research investigates the forensic potential of data generated by robots, with a particular focus on ROS Bag data. By analyzing ROS Bag data, we aim to uncover how such information can be used in forensic investigations to reconstruct events, diagnose system failures, and verify compliance with operational protocols. The components of the ROS ecosystem were examined, identifying the challenges in parsing ROS Bag files and underscoring the need for specialized tools. This analysis highlights the security risks associated with plain text communication within legacy ROS systems, emphasizing the importance of encryption. While providing valuable insights, this research calls for further exploration, tool development, and enhanced security practices in robotics and digital forensics, aiming to lay the foundation for effective crime resolution involving robots.

Research work on the effectiveness of voice disguise techniques is important for the development of biometric systems (surveillance) as well as phonoscopic research (forensics). A speaker recognition system or a listener can be deliberately or non-deliberately misled by technical or natural methods. It is important to determine the impact of these techniques on both automatic systems and live listeners. This paper presents the results of listening tests conducted on a group of 40 people. The effectiveness of speaker recognition was investigated using selected natural (chosen from four groups of deliberate natural techniques: phonation, phonemic, prosodic and deformation) and technical (pitch shifting, GSM coding) voice disguise techniques. The results were related to the previously obtained outcomes for the automatic method of verification carried out using a classical speaker recognition system based on MFCC (Mel Frequency Cepstral Coefficients) parameterisation and GMM (Gaussian Mixture Models) classification.

This narrative review explores the potential, complexities, and consequences of using artificial intelligence (AI) to screen large government-held facial image databases for the early detection of rare genetic diseases. Government-held facial image databases, combined with the power of artificial intelligence, offer the potential to revolutionize the early diagnosis of rare genetic diseases. AI-powered phenotyping, as exemplified by the Face2Gene app, enables highly accurate genetic assessments from simple photographs. This and similar breakthrough technologies raise significant privacy and ethical concerns about potential government overreach augmented with the power of AI. This paper explores the concept, methods, and legal complexities of AI-based phenotyping within the EU. It highlights the transformative potential of such tools for public health while emphasizing the critical need to balance innovation with the protection of individual privacy and ethical boundaries. This comprehensive overview underscores the urgent need to develop robust safeguards around individual rights while responsibly utilizing AI’s potential for improved healthcare outcomes, including within a forensic context. Furthermore, the intersection of AI and sensitive genetic data necessitates proactive cybersecurity measures. Current and future developments must focus on securing AI models against attacks, ensuring data integrity, and safeguarding the privacy of individuals within this technological landscape.

Background Forensic age estimation is not difficult when the body is found in good condition, but in cases of severe decomposition or damage, such as burnt or separated body parts, then the analysis can only be done with bones and teeth. There has been abundant research and development in the field of related biochemistry over the years. Various molecular changes occur in hard tissues and long-lived proteins, such as those in bones and teeth during the physiological process of aging. Aspartic acid racemization and DNA methylation are still the most frequently used age estimation methods because of their advantages in accuracy. Method This study aimed to compare the accuracy of DNA methylation and aspartic acid racemization methods for age estimation. Journal articles were searched in the electronic databases PubMed, Scopus, and Semantic Scholar of 2017-2022 according to PRISMA guidelines. Result Twelve journal articles were eligible for review. The DNA methylation method is quite simple to use because of commercially available methylation kits. Furthermore, the results can be obtained relatively quickly without requiring many samples, and the method is less sensitive to thermal and other damage than the aspartic acid racemization method. Conclusion The aspartic acid racemization method for age estimation has high accuracy, especially in determining age at death. However, temperature and the condition of the teeth affect the racemization of aspartic acid. Given that DNA methylation is generally stable in a wide range of temperatures, it provides a better approach to determining the chronological age even from charred remains.

The Internet of Things forensics is a specialised field within digital forensics that focuses on the identification of security incidents, as well as the collection and analysis of evidence with the aim of preventing future attacks on IoT networks. IoT forensics differs from other digital forensic fields due to the unique characteristics of IoT devices, such as limited processing power and connectivity. Although numerous studies are available on IoT forensics, the field is rapidly evolving, and comprehensive surveys are needed to keep up with new developments, emerging threats, and evolving best practices. In this respect, this paper aims to review the state of the art in IoT forensics and discuss the challenges in current investigation techniques. A qualitative analysis of related reviews in the field of IoT forensics has been conducted, identifying key issues and assessing primary obstacles. Despite the variety of topics and approaches, common issues emerge. The majority of these issues are related to the collection and pre-processing of evidence because of the counter-analysis techniques and challenges associated with gathering data from devices and the cloud. Our analysis extends beyond technological problems; it further identifies the procedural problems with preparedness, reporting, and presentation as well as ethical issues. In particular, it provides insights into emerging threats and challenges in IoT forensics, increases awareness and understanding of the importance of IoT forensics in preventing cybercrimes, and ensures the security and privacy of IoT devices and networks. Our findings make a substantial contribution to the field of IoT forensics, as they not only involve a critical analysis of the challenges presented in existing works but also identify numerous problems. These insights will greatly assist researchers in identifying appropriate directions for their future research. [ABSTRACT FROM AUTHOR]

The accurate classification of human activities in crime scenes during forensics (criminalistics) is of utmost importance in classifying suspicious and unlawful activities, easing their acceptability and interpretability by judges during legal procedures in courts or by other non-experts in the field of forensics. This paper implements machine learning (ML) algorithms: support vector machine (SVM) and decision tree (DT), to demonstrate with a high accuracy, how data emanating from smartphones' sensors reveal and isolate relevant information about static and dynamic human activities in criminalistics. Smartphones' data from five different sensors (accelerometer, gravity, orientation, Gyroscope and light), related to ten recurrent crime scenes activities, grouped into three classes of events (normal, felony and none-felony events) are classified by the proposed algorithms, with novelty being the classification decisions based on the entire period of the events and not instantaneous decision makings. Three independent data-subsets were made, with permutations done between them and at each time, two sets used for training and the third set used for testing. Time- and frequency-domain features were initially used separately and then combined for the model training and testing. The best average training accuracies of 100% and 97.8% were obtained for the DT and SVM, respectively, and the testing accuracies of 89.1% were obtained for both algorithms. We therefore believe that these results will serve as a solid persuasive and convincing argument to judges and non-experts of the field of forensics to accept and easily interpret computer-aided classification of suspicious activities emanating from criminalistic studies. [ABSTRACT FROM AUTHOR]

Abstract: Aim: The article aims to examine how addiction-related crime is dealt with in German-speaking countries and what similarities and differences exist. Method: Comparative legal analysis of criminal sanctions law in Germany, Austria, and Switzerland. Results: The three legal systems show basic structural similarities (two-track system, specific measures for addiction-related delinquency, chronological order in the execution phase, and treatability prognosis as a requirement). However, there are also differences in terms of available legal instruments and enforcement (crediting to the sentence, diversionary options, outpatient vs. inpatient options, etc.). The stronger focus on custodial measures in Germany has led to a sharp increase in the number of orders. This development cannot be observed in Switzerland and Austria. Conclusions: The study suggests that there are interactions between the existence of diversionary/ambulatory options and the ordering of custodial measures. In addition, this analysis provides relevant insights into how criminal sanctions law relating to addiction-related delinquency could be developed. [ABSTRACT FROM AUTHOR]

We investigated the utility of nuclear and cytoplasmic single nucleotide polymorphism (SNP) markers for timber tracking of the intensively logged and commercialized Amazonian tree Jacaranda copaia. Eight hundred and thirty-two trees were sampled (cambium or leaves) from 38 sampling sites in Bolivia, Brazil, French Guiana, and Peru. A total of 128 SNP markers (113 nuclear, 11 chloroplastic, and 4 mitochondrial) were used for genotyping the samples. Bayesian cluster analyses were carried out to group individuals into homogeneous genetic groups for tests to self-assign groups of individuals or individuals to their population of origin. Cluster analysis based on all the SNP markers detected seven main genetic groups. Genetic differentiation was high among populations (0.484) and among genetic groups (0.415), and populations showed a strong isolation-by-distance pattern. Self-assignment testing of the groups of individuals for all loci was able to determine the population origin of all the samples (accuracy = 100%). Self-assignment tests of individuals were able to assign the origin of 94.5%–100% of individuals (accuracy: 91.7%–100%). Our results show that the use of the 128 SNP markers is suitable to correctly determine the origin of J. copaia timber, and they should be considered a useful tool for customs and local and international police. [ABSTRACT FROM AUTHOR]

In the rapidly evolving landscape of modern technology, the convergence of blockchain innovation and machine learning advancements presents unparalleled opportunities to enhance computer forensics. This study introduces SentinelFusion, an ensemble-based machine learning framework designed to bolster secrecy, privacy, and data integrity within blockchain systems. By integrating cutting-edge blockchain security properties with the predictive capabilities of machine learning, SentinelFusion aims to improve the detection and prevention of security breaches and data tampering. Utilizing a comprehensive blockchain-based dataset of various criminal activities, the framework leverages multiple machine learning models, including support vector machines, K-nearest neighbors, naive Bayes, logistic regression, and decision trees, alongside the novel SentinelFusion ensemble model. Extensive evaluation metrics such as accuracy, precision, recall, and F1 score are used to assess model performance. The results demonstrate that SentinelFusion outperforms individual models, achieving an accuracy, precision, recall, and F1 score of 0.99. This study's findings underscore the potential of combining blockchain technology and machine learning to advance computer forensics, providing valuable insights for practitioners and researchers in the field. [ABSTRACT FROM AUTHOR]

Australian social workers are routinely employed in forensic roles, including forensic medicine, domestic and family violence, youth justice, probation or parole, and correctional work. Forensic social work often is considered to be a specialist area of social work due to the required additional knowledge of the law, crime, victimology, comorbidity, and intersectionality. Globally, and in Australia, concerns have been raised about the training and education of forensic social workers. In Australia, there is no clear forensic social work education pathway; there are no tertiary forensic social work courses, and the AASW does not recognise forensics in their credentialing program. Thus, practitioners are seen to qualify through their generic studies. The purpose of this study was to ascertain the extent to which forensic knowledge features in the current AASW accredited undergraduate social work programs. A content analysis of available 2023 Bachelor of Social Work programs was undertaken to reveal any disparity of forensic offerings under a generic qualification. This research is positioned within the wider "generic practice versus specialisation" debate in Australian social work education. It raises concerns about the fragmented nature of forensic studies within Australian social work education. There is a lack of clarity around what constitutes useful and sufficient forensic studies within Australian social work education, in the absence of specialist programs. There is little opportunity for social work students to gain "social work specific" forensic training in their qualifying education. Further consideration of a specialist forensic social work pathway could assist with the advanced training of this workforce. [ABSTRACT FROM AUTHOR]

• Freshwater environmental DNA shows potential for forensic application. • Consideration of filtration and preservation methods essential. • Validation of eDNA methods required before application. • Implementation possible in wildlife crime investigation casework. Environmental DNA (eDNA) is widely used in biodiversity, conservation, and ecological studies but despite its successes, similar approaches have not yet been regularly applied to assist in wildlife crime investigations. The purpose of this paper is to review current eDNA methods and assess their potential forensic application in freshwater environments considering collection, transport and persistence, analysis, and interpretation, while identifying additional research required to present eDNA evidence in court. An extensive review of the literature suggests that commonly used collection methods can be easily adapted for forensic frameworks providing they address the appropriate investigative questions and take into consideration the uniqueness of the target species, its habitat, and the requirements of the end user. The use of eDNA methods to inform conservationists, monitor biodiversity and impacts of climate change, and detect invasive species and pathogens shows confidence within the scientific community, making the acceptance of these methods by the criminal justice system highly possible. To contextualise the potential application of eDNA on forensic investigations, two test cases are explored involving i) species detection and ii) species localisation. Recommendations for future work within the forensic eDNA discipline include development of suitable standardised collection methods, considered collection strategies, forensically validated assays and publication of procedures and empirical research studies to support implementation within the legal system. [ABSTRACT FROM AUTHOR]

The article examines the peculiarities of the emergence and formation of methods of forensic investigation, which over time, in the 19th century, took shape in the science of forensics. To solve the problems, the authors used several methods, both general scientific and special. Among them: formallegal, comparative-legal, historical-legal, dialectical, historical, systemic, hermeneutic, etc. The authors identified the main, in their opinion, stages of the development of criminology in Ukraine, starting with the formation of the Old Russian state. The first steps of the creation and implementation of forensic methods during the investigation of crimes, which were enshrined in the most famous monuments of law – «Laws of King Hammurabi», «Laws of the XII Tables», Byzantine legal collections, «Ruska Pravda», «Lithuanian Statutes», «The rights by which the Little Russian people are judged.» The article proves that the formation of individual manifestations of forensic research in Ukrainian lands during the Middle Ages and the first centuries of modern history was based on world experience in this area, as well as on the idea of justice, the need to restore law and order. It is emphasized that the formation of ideas about the methods of forensic research that appeared in Ukraine is connected with the genesis of the Ukrainian legal system and turned, over time, into one of its institutions. The authors suggest that, in contrast to the application of punishment, which had a class character, the organization of forensic investigations established the truth and therefore did not depend on the class affiliation of the participants in legal relations. The opinion that both in ancient times and at the beginning of the Middle Ages, forensic methods were closely intertwined with the elements of the investigative process, within which they were actually applied, is substantiated. It was established that the crippling forms of punishment, which were applied by court decision, were also intended to «emphasize» the identity of the criminal, to single him out in order to facilitate the search in case of repeated offenses. The authors concluded that the legal regulation of forensic research methods became a guarantee of their development, distribution and transformation, over time, into an independent science. [ABSTRACT FROM AUTHOR]

A death that occurs inside a prison cell initiates a distinct set of procedures from those around a death on the outside. When a confined space within a penal institution of total surveillance and control becomes a crime scene, it may reflect the prevailing institutional cultures and the ways in which they react and adapt. This paper analyses the case of Marcos, who was found dead in a Portuguese prison cell which he shared with another individual. From the discovery of the body to the crime scene inspection by the police, and from the autopsy to the trial, the qualitative analysis of the inscriptions produced in this case reveals and highlight the epistemic cultures involved. As each culture is developed from the professional practices and modes of acquiring and using knowledge, the analysis of their logic contributes to an understanding of how forensic evidence is co-produced and appropriated in the Portuguese legal context. We identify five epistemic cultures: institutional defence, hunch, office, bubble, and 'rubber stamp'. We argue that the apparent neutrality of an inquisitorial criminal justice system enables the development of particular ways of producing, understanding and using scientific knowledge and forensic evidence. [ABSTRACT FROM AUTHOR]

Community colleges serve a substantial percentage of college-age students in the United States, many of whom arrive with negative attitudes toward mathematics, despite there being many STEM-related fields available to community college graduates. The current paper summarizes the creation of a day-long activity that assists students in developing applied mathematical skills in a format that aligns with the experiential learning theory. Students at a community college in Texas are learning math by engaging with a popular topic, crime scene investigation, through an annual event, established in 2017, called NVCsi. Students interact with hands-on activities that combine forensics, mathematics, and other disciplines. The implementation of the event is described so that other colleges can develop their own experiential learning event. Planned data collection for future event cycles are described, as are limitations and constraints of the NVCsi event with a discussion of planned modifications. [ABSTRACT FROM AUTHOR]

The development of analytical methods for the rapid detection of noxious species in forensic, environmental and biological samples is a global trend. This work reports a new, portable and low‐cost electroanalytical method for the ultrasensitive detection of bromadiolone using pencil graphite electrode (PGE) and square‐wave adsorptive stripping voltammetry (SWAdSV). Bromadiolone exhibited an irreversible cathodic peak at around −0.8 V in acid medium (2.5 to 5.5), which was unreported in literature until now. Considering this novel electrochemical behavior, a redox reaction mechanism for bromadiolone reduction on PGE is proposed. The limit of detection (LOD) obtained was 0.50 nmol L−1, which is close or lower than those obtained in some chromatographic methods utilized for analyzing biological samples. This LOD is also below the value recommended by the World Health Organization (WHO) regarding analytical methods employed to detect bromadiolone in environmental/biological samples. A linear response was observed in the concentration range from 2.0 to 100.0 nmol L−1. Quantitative assays performed in spiked samples of surface water and synthetic urine suggested good accuracy (recoveries between 93 and 107 %) and great precision (relative standard deviations were ≤3.9 %). Furthermore, the method was successfully applied for the screening of bromadiolone in real forensic samples, which is an approach unexplored in previous works. In this sense, the proposed PGE‐SWAdSV method described here shows great potential for the rapid and sensitive detection of bromadiolone in forensic, biological and environmental fields. [ABSTRACT FROM AUTHOR]

AbstractTotal ambient PM2.5 concentrations within six major metropolitan core-based statistical areas (CBSAs) were evaluated using a previously published approach that combines interpolation and fixed effect regression models to disentangle background from local PM2.5 contributions. The results demonstrate differences and similarities across the cities, including seasonal patterns, the magnitude of total PM2.5 concentrations, and local vs. background apportionment. Los Angeles generally had the greatest total and local PM2.5 concentrations, and monitoring locations in Seattle generally had the lowest total and local PM2.5 concentrations. In terms of seasonal change, mean total PM2.5 concentrations varied the most in Dallas and the least in Tampa, while mean total PM2.5 concentrations varied the most spatially in Los Angeles and the least spatially in Dallas. Additionally, mean local PM2.5 concentrations varied the most seasonally in Los Angeles and the least seasonally in Tampa, while mean local PM2.5 concentrations varied the most spatially in Seattle and the least spatially in Charlotte and Dallas. Local attribution in Charlotte, Dallas, Pittsburgh, and Tampa were most similar. Local attribution varied more widely in Los Angeles and Seattle. The analyses found distance to major U.S. roadways as an important indicator for total and local ambient PM2.5 concentrations. Accurate distinctions of local vs. background contributions and point vs. non-point source contributions allow for regulatory, mitigatory, and community efforts to be optimized at the appropriate spatial levels (i.e., local, regional, state, or national) and target toward the most impactful source sectors when seeking to take steps that reduce total community PM2.5 exposures (e.g., reducing vehicular emissions). [ABSTRACT FROM AUTHOR]

Forensic pharmacology involves interpreting the concentration of a drug or toxin found in the dead body in relationship to premortem events. Immediately after death, the concentrations of practically all drugs will be subject to multiple processes resulting in drug redistribution. Interpretation of a specific post-mortem result requires the integration of many independent and interacting antemortem, mortem and post-mortem factors. The consequences can be as far reaching as conviction or exoneration from the charge of murder. [ABSTRACT FROM AUTHOR]

Blood is the most encountered type of biological evidence in violent crimes and contains pertinent information to a forensic investigation. The false presumption that blood encountered at a crime scene is human may not be realised until after costly and sample-consuming tests are performed. To address the question of blood origin, the novel application of visible-near infrared hyperspectral imaging (HSI) is used for the detection and discrimination of human and animal bloodstains. The HSI system used is a portable, non-contact, non-destructive method for the determination of blood origin. A support vector machine (SVM) binary classifier was trained for the discrimination of bloodstains of human (n = 20) and five animal species: pig (n = 20), mouse (n = 16), rat (n = 5), rabbit (n = 5), and cow (n = 20). On an independent test set, the SVM model achieved accuracy, precision, sensitivity, and specificity values of 96, 97, 95, and 96%, respectively. Segmented images of bloodstains aged over a period of two months were produced, allowing for the clear visualisation of the discrimination of human and animal bloodstains. The inclusion of such a system in a forensic investigation workflow not only removes ambiguity surrounding blood origin, but can potentially be used in tandem with HSI bloodstain age determination methods for rapid on-scene forensic analysis. [ABSTRACT FROM AUTHOR]

Automatic age estimation has garnered significant interest among researchers because of its potential practical uses. The current systematic review was undertaken to critically appraise developments and performance of AI models designed for automated estimation using dento-maxillofacial radiographic images. In order to ensure consistency in their approach, the researchers followed the diagnostic test accuracy guidelines outlined in PRISMA-DTA for this systematic review. They conducted an electronic search across various databases such as PubMed, Scopus, Embase, Cochrane, Web of Science, Google Scholar, and the Saudi Digital Library to identify relevant articles published between the years 2000 and 2024. A total of 26 articles that satisfied the inclusion criteria were subjected to a risk of bias assessment using QUADAS-2, which revealed a flawless risk of bias in both arms for the patient-selection domain. Additionally, the certainty of evidence was evaluated using the GRADE approach. AI technology has primarily been utilized for automated age estimation through tooth development stages, tooth and bone parameters, bone age measurements, and pulp–tooth ratio. The AI models employed in the studies achieved a remarkably high precision of 99.05% and accuracy of 99.98% in the age estimation for models using tooth development stages and bone age measurements, respectively. The application of AI as an additional diagnostic tool within the realm of age estimation demonstrates significant promise. [ABSTRACT FROM AUTHOR]

The promise of efficiency is a catalyst for technological development in forensic science and crime scene investigation practices. Crime scene investigators aim to locate and document every potential trace for evidence and investigate crime scenes as quickly, accurately and objectively as possible. This narrative suggests that performance leads the police to adopt new efficient technologies. But to what extent is this narrative reflective of actual practices? Through examining how crime scene investigators use existing technologies in practice, i.e. traditional or 'low-tech' methods and tools such as DNA detection dogs and manual documentation tools, this article shows that the use of low-tech persists even under the pressure to perform and achieve. The study finds that low-tech remains attractive as a less-restraining alternative to digital and high-tech solutions. It is also contrast to, integrated with or necessary in co-existence with high-tech for crime scene investigations practices to function. The study draws on fieldwork conducted at police stations in Norway, including interviews and participatory observation of investigations in practice, to discuss the persistent attractions of low-tech and what the implications are for research into policing and technology. [ABSTRACT FROM AUTHOR]

Metagenomic studies have revolutionized the study of novel phages. However these studies trade depth of coverage for breadth. We show that the targeted sequencing of a small region of a phage terminase family can provide sufficient sequence diversity to serve as an individual-specific barcode or a “phageprint’’, defined as the relative abundance profile of the variants within a terminase family. By collecting ~700 oral samples from ~100 individuals living on multiple continents, we found a consistent trend wherein each individual harbors one or two dominant variants that coexist with numerous low-abundance variants. By tracking phageprints over the span of a month across ten individuals, we observed that phageprints were generally stable, and found instances of concordant temporal fluctuations of variants shared between partners. To quantify these patterns further, we built machine learning models that, with high precision and recall, distinguished individuals even when we eliminated the most abundant variants and further downsampled phageprints to 2% of the remaining variants. Except between partners, phageprints are dissimilar between individuals, and neither country-of-residence, genetics, diet nor cohabitation seem to play a role in the relatedness of phageprints across individuals. By sampling from six different oral sites, we were able to study the impact of millimeters to a few centimeters of separation on an individual’s phageprint and found that such limited spatial separation results in site-specific phageprints.

Latent palmprints are integral to crime scene investigations, constituting a significant portion of encountered prints. They often suffer from poor ridge impressions, noise, and pronounced creases, setting them apart from other palmprint types. While progressive enhancement techniques are widely used for fingerprints, palmprints with numerous thick creases and larger sizes benefit more from region-growing techniques. Frequency domain-based palmprint enhancement excels in separating creases from ridges and reshaping ridge structures accurately. The key challenge lies in identifying suitable initial blocks for both region-growing and iterative enhancement techniques. Existing frequency domain-based quality maps, primarily designed for fingerprints, exhibit limited performance when applied to palmprints, especially latent ones. To address these issues, this paper introduces a new approach that combines region-growing and frequency domain-based enhancement techniques to improve latent palmprints. Our method leverages high-quality blocks, employs the orientation field obtained in the frequency domain to correct possible orientation errors in starting blocks, and utilizes varying weights to enhance all block types effectively. The experimental results indicate that the proposed approach surpasses the existing state-of-the-art techniques in terms of recognition accuracy.