Sexual dimorphism and topological variability in fingerprint ridge density in a north-west Indian population.

The science of fingerprints is very crucial in criminal investigation as it helps identify perpetrators or victims of a crime. Fingerprint ridge density (FPRD), which refers to the number of ridges within a specific area on the epidermal skin layer of the distal phalanges in humans, has been found to differ between males and females. This study attempts to estimate the sex from FPRD and evaluates the diversity in FPRD across several topological areas. The study involves 208 participants (120 males, 88 females) between the ages 18 to 25 years from a North-west Indian population. Fingerprints were collected, and FPRD was accessed in radial, ulnar, and proximal areas as recommended by Gutierrez-Redomero et al. (Forensic Sci Int 180(1):17-22, 2008). FPRD has been quantified using the techniques described by Acree (Forensic Sci Int 102(1):35-44, 1999). When evaluating FPRD in the lateral pocket loops and twin loops, the proximal-side core was considered. The study reveals that males have a mean fingerprint ridge density of 12.82 ridges/25 mm2 while females have 13.01 ridges/25 mm2. Females have higher fingerprint ridge density solely in the proximal area; males have higher fingerprint ridge density in both radial and ulnar areas. In conclusion, this research underscores the potential of fingerprint ridge density as a parameter for investigating population variations and individual identification. Future studies on fingerprint ridge density in India's diverse population will help establish reference ranges, allowing for sex and likely population group estimation, making it a valuable tool for preliminary examinations and exclusion criteria for sex estimation in crime scene investigations.

Global adoption of facial recognition technology with special reference to India-Present status and future recommendations.

The face is the most essential part of the human body, and because of its distinctive traits, it is crucial for recognizing people. Facial recognition technology (FRT) is one of the most successful and fascinating technologies of the modern times. The world is moving towards contactless FRT after the COVID-19 pandemic. Due to its contactless biometric characteristics, FRT is becoming quite popular worldwide. Businesses are replacing conventional fingerprint scanners with artificial intelligence-based FRT, opening up enormous commercial prospects. Security and surveillance, authentication/access control systems, digital healthcare, photo retrieval, etc., are some sectors where its use has become essential. In the present communication, we presented the global adoption of FRT, its rising trend in the market, utilization of the technology in various sectors, its challenges and rising concerns with special reference to India and worldwide.

ChatGPT: Forensic, legal, and ethical issues.

Artificial intelligence (AI) refers to a group of technologies that enable people to perform a variety of activities, including observing, comprehending, analysing and translating data, among other things. Nowadays, practically every school of thought is interested in AI. One such innovation, a chatbot by the name of ChatGPT (Chat Generative Pre-Trained Transformer), launched by OpenAI recently, has taken the internet by storm. It had one million users within 1 week of its launch. The present communication explores the practicability and versatility of the ChatGPT in forensic examinations and scenarios, and also addresses the ethical and legal issues surrounding its usage. The observations suggest that the said technology, in its current form, has limited relevance in the realm of forensic science and the law. Only human critical thinking, expertise, and practical experience can provide the information and competencies needed in the realms of forensics, research, clinical and legal practices. Thus, the ChatGPT should be used with utmost caution in the disciplines of medicine, forensic science and the law, irrespective of its many positive attributes.

Development, detection and decipherment of obfuscated fingerprints in humans: Implications for forensic casework.

Fingerprints have been widely used and accepted as an effective method of human identification. This biometric tool aids in criminal investigations for personal identity for over a century. Whilst the Automatic Fingerprint Identification System (AFIS) has bolstered security efforts, it has also opened doors to potential scams, affecting both civilian and law enforcement operations. Despite extensive research on fingerprint authentication issues, very little attention has been given to addressing the problem of fingerprint alteration or obfuscation. Fraudsters, with the guidance of experts, have developed new techniques to obscure their fingerprints intentionally. Fingerprint obfuscation is the deliberate alteration of fingerprint patterns with the aim of concealing their true identity, raising concerns amongst security and investigative organizations. The objective of the current communication is to highlight the numerous techniques used for obfuscation, forgery and alteration of fingerprints in humans. It further accentuates the need for identification and interpretation of these altered fingerprints and recommends notifying law enforcement agencies of potential threats.

ChatGPT: ethical concerns and challenges in academics and research.

INTRODUCTION: The emergence of artificial intelligence (AI) has presented several opportunities to ease human work. AI applications are available for almost every domain of life. A new technology, Chat Generative Pre-Trained Transformer (ChatGPT), was introduced by OpenAI in November 2022, and has become a topic of discussion across the world. ChatGPT-3 has brought many opportunities, as well as ethical and privacy considerations. ChatGPT is a large language model (LLM) which has been trained on the events that happened until 2021. The use of AI and its assisted technologies in scientific writing is against research and publication ethics. Therefore, policies and guidelines need to be developed over the use of such tools in scientific writing. The main objective of the present study was to highlight the use of AI and AI assisted technologies such as the ChatGPT and other chatbots in the scientific writing and in the research domain resulting in bias, spread of inaccurate information and plagiarism. METHODOLOGY: Experiments were designed to test the accuracy of ChatGPT when used in research and academic writing. RESULTS: The information provided by ChatGPT was inaccurate and may have far-reaching implications in the field of medical science and engineering. Critical thinking should be encouraged among researchers to raise awareness about the associated privacy and ethical risks. CONCLUSIONS: Regulations for ethical and privacy concerns related to the use of ChatGPT in academics and research need to be developed.

Methods of forensic facial reconstruction and human identification: historical background, significance, and limitations.

Facial reconstruction is the most frequently used method for human identification in forensic examinations. It is a complex and time-consuming technique and an actively growing field with a wide array of applications. The methods of forensic facial reconstruction are helpful in those cases where other methods of identification are not applicable. Identification of the dead is always a challenging task for forensic teams in cases involving terrorists' attacks and mass disasters where the corpses are fragmented, decomposed, and skeletonized. In such cases, only the skeletal remains and few other clues are available to establish the identity of a person. The progress of facial reconstruction was initiated in the nineteenth century, reconstructing the facial profiles of some famous and rich people. Various novel techniques for facial reconstruction have been devised in the recent past. We conducted literature search, using databases PubMed, Scopus, Web of Science, and ScienceDirect for analyzing different methods developed and practiced till date for human facial reconstruction. We outline the brief history along with a discussion regarding the different methods of forensic facial reconstruction and their limitations. We also discuss future recommendations and preferences for further research in the field of forensic facial reconstruction and human identification.

Impact of prolonged wearing of face masks - medical and forensic implications.

Since December 2019, the global outbreak of coronavirus disease had a significant impact on humanity. Because of the large number of casualties worldwide, the WHO (World Health Organization) declared the coronavirus disease caused by SARS-CoV-2 a pandemic. Since the start of the pandemic, facial masks have become essential as well as mandatory to protect ourselves from COVID-19. As a result of the pandemic, healthcare professionals (HCPs) have been required to wear personal protective equipment (PPE) for extended periods. Wearing face masks for an extended period has been shown to have several negative effects on HCPs. Additionally, face masks have hampered the use of digital techniques for facial identification. This paper examines the effects of wearing face masks for an extended period, as well as the effect of wearing face masks on facial identification technology. The Web of Science, PubMed, and Scopus databases were searched and screened for relevant studies. According to the current review, prolonged use of masks was found to be associated with adverse effects on the face and skin, including acne, redness, rashes, and itching. The use of masks also resulted in headaches, hypoxic conditions, and changes in voice and speech parameters. This communication in no way intends to advocate the discontinuation of wearing masks, on the contrary, the primary goal of this article is to spread awareness about the adverse effects associated with prolonged use of facial masks (N95, KF94, or surgical). This will help in increasing compliance with mask mandates by helping to develop preventive solutions to the problems that tend to deter the general public. This also demonstrates how the use of masks has become a challenge for facial recognition technologies.

Development and Evaluation of Solid Lipid Nanoparticles of N-6-Furfuryl Adenine for Prevention of Photoaging.

N-6-furfuryl adenine (N6FA) also known as "kinetin" is a biologically active natural phytochemical. It belongs to the category of cytokinins, the natural plant growth hormones that promote cell division and play role in cell differentiation. Overall, N6FA aids in increasing the plant's life span. Human cells also contain.small quantities of N6FA. Scientists are trying to understand its function in humans. N6FA is being investigated for its properties such as antiplatelet, antioxidant, antiproliferative and anti-aging effects on human cells. The aim of the present investigation was to prepare solid lipid nanoparticle (SLN) based topical formulations of N6FA and to evaluate its efficacy against ultraviolet (UV) radiation induced skin photodamage. SLNs were prepared by hot microemulsion technique and optimized for the type and concentration of lipid and surfactant(s). The optimized SLN formulation was characterized in terms of particle size, drug entrapment efficiency, zeta potential and pH; evaluated for stability, spreadability, ex-vivo skin permeation and photoprotective effects against UV induced skin damage. The cumulative amount of drug permeated through mice skin using SLNs was 3 folds higher than from conventional cream base. The results of biochemical and histopathological investigations of skin treated with N6FA loaded SLNs clearly demonstrated the efficacy of optimized formulation in preventing photodamage (lesions, ulcers and changes in skin integrity) due to chronic UV exposure. The effects were comparable with widely used marketed formulation, Garnier wrinkle lift anti-aging cream. Results suggested that N6FA incorporated into SLNs may provide therapeutic as well as cosmeceutical benefits.