In a previous study, mechanical engineering models were utilized to deduce impact velocity and droplet volume of circular bloodstains by measuring stain diameter and counting spines radiating from their outer edge. A blind trial study was subsequently undertaken to evaluate the accuracy of this technique, using an applied, crime scene methodology. Calculations from bloodstains produced on paper, drywall, and wood were used to derive surface-specific equations to predict 39 unknown mock crime scene bloodstains created over a range of impact velocities (2.2-5.7 m/sec) and droplet volumes (12-45 microL). Strong correlations were found between expected and observed results, with correlation coefficients ranging between 0.83 and 0.99. The 95% confidence limit associated with predictions of impact velocity and droplet volume was calculated for paper (0.28 m/sec, 1.7 microL), drywall (0.37 m/sec, 1.7 microL), and wood (0.65 m/sec, 5.2 microL).
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http://dx.doi.org/10.1111/j.1556-4029.2006.00298.x | DOI Listing |
Forensic Sci Int
December 2024
Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China. Electronic address:
Identification of body fluid stain at crime scene is one of the important tasks of forensic evidence analysis. Currently, body fluid-specific CpGs detected by DNA methylation microarray screening, have been widely studied for forensic body fluid identification. However, some CpGs have limited ability to distinguish certain body fluid types.
View Article and Find Full Text PDFForensic Sci Int
December 2024
Criminal Investigation School, Southwest University of Political Science and Law, Chongqing, China; Chongqing Institutions of Higher Education Municipal Key Criminal Technology Laboratory, Chongqing, China; Intelligent Research Center of Difficult Homicide Cases Investigation, Southwest University of Political Science and Law, Chongqing, China. Electronic address:
In criminal investigations, distinguishing between impact spatters and fly spots presents a challenge due to their morphological similarities. Traditional methods of bloodstain pattern analysis (BPA) rely significantly on the expertise of professional examiners, which can result in limitations including low identification efficiency, high misjudgment rates, and susceptibility to external disturbances. To enhance the accuracy and scientific rigor of identifying impact spatters and fly spots, this study employed artificial intelligence techniques in image recognition and transfer learning.
View Article and Find Full Text PDFNoncoding RNA
November 2024
Department of Forensic Science, Graduate School, Catholic University of Pusan, Busan 46252, Republic of Korea.
When a body is discovered at a crime or murder scene, it is crucial to examine the body and estimate its postmortem interval (PMI). Accurate estimation of PMI is vital for identifying suspects and providing clues to resolve the case. MicroRNAs (miRNAs or miRs) are small non-coding RNAs that remain relatively stable in the cell nucleus even after death-related changes occur.
View Article and Find Full Text PDFAn expert case is presented in which a man was found dead in his apartment, on the bed. Upon examination of the crime scene, the deceased was found to have a contused wound of the frontoparietal region on the left side. The apartment contained a large number of bloodstains, including patterns characteristic of arterial spurt.
View Article and Find Full Text PDFForensic Sci Int
December 2024
Department of Science, Alliance University, Bengaluru 562106, India.
The accurate detection, identification, and analysis of biofluids at crime scenes play a critical role in forensic investigations. Various biofluids, such as blood, semen, vaginal fluid, menstrual blood, urine, and saliva, can be crucial evidence. In a murder case involving a knife attack, for instance, bloodstains from both the victim and perpetrator might be present.
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