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Abstract This study aims to examine the impact of forensic accounting services on reducing money laundering. Its originality lies in its exploration of the effects of each of the four forensic accounting services individ...

IntroductionInjury assessment and forensic decision support are pivotal challenges in sports medicine, requiring advanced methods to interpret complex biomechanical and medical imaging evidence under uncertainty. This st...

Abstract Transcriptome sequencing data offer a valuable resource for inferring genetic variants, yet their application in forensic individual identification and kinship analysis remains insufficiently explored. This stud...

Introduction: Malingering, the intentional fabrication or exaggeration of symptoms for external gain, remains a significant challenge in forensic psychiatry. Psychiatric illnesses are particularly vulnerable to malingeri...

Aim of the study. To evaluate the reliability of assessing characteristic odor intensity, specifically alcohol, during forensic medical examinations of cadavers without signs of decomposition. Materials and methods. A...

The integration of humans with computers is advancing biometric systems, particularly in utilizing DNA biometrics for human verification and identification, especially in forensic contexts. DNA analysis has significantly...

The relentless pursuit of athletic excellence is shadowed by the equally persistent evolution of performance-enhancing drugs (PEDs). In recent years, the antidoping landscape has been profoundly shaped by the rise of two...

Recent research into decomposition has shed light on the intricate interplay within multi-kingdom communities, with microbial populations emerging as key players in the breakdown process and emphasizing their interaction...

Abstract Sphenoid sinus fluid is considered a supportive indicator of drowning in forensic medicine, but traditional manual assessment on postmortem computed tomography (PMCT) is labor-intensive and observer-dependent. E...

"The rapid proliferation of deepfake videos poses a growing threat to the integrity of digital information and public discourse. Traditional detection methods, often based on convolutional neural networks or artifact-spe...