Classification of 3D shoe prints using the PointNet architecture: proof of concept investigation of binary classification of nike and adidas outsoles.

Shoe prints are one of the most common types of evidence found at crime scenes, second only to fingerprints. However, studies involving modern approaches such as machine learning and deep learning for the detection and analysis of shoe prints are quite limited in this field. With advancements in technology, positive results have recently emerged for the detection of 2D shoe prints.

InDEL instability in two different tumoral tissues and its forensic significance.

There may be cases where malignant tumor samples can be used for forensic DNA profiling studies. STRs are the first systems preferred in forensic science laboratories for identification purposes. However, genetic instability in tumoral tissues causes STR polymorphism to change, leading to erroneous results.

UVC-LED-based face mask design and efficacy against common germs.

During the Covid-19 pandemic, one of the best means of personal protection was using face masks. In this context, the World Health Organization has declared the attempts to produce masks inactivating airborne virus species a welcome initiative. This preliminary study aimed to prove that airborne germs passing through a mask filter cartridge can be destroyed by the rays emitted from UVC LEDs placed in such cartridge.

Development of a multiplex panel with 36 insertion/deletion markers (InDel) for individual identification.

In recent years, the insertion/deletion (InDel) polymorphism has become a preferred genetic marker in forensic genetics due to its low mutation rates and small amplicon sizes. In this study, a 36-InDelplex identification panel, consisting of autosomal 34 InDel loci, 1 Y InDel locus, and amelogenin, was developed, and gene frequencies in the Turkish population were determined. The loci of the InDel panel with global minimum allele frequencies (MAF) ≥ 0.

Technical note: A novel 3D scan-based optical method for analyzing lines drawn at different pen pressure.

Pen pressure is one of the important elements of handwriting and questioned document analysis which is also crucial to recognize forgery. In this paper, we present a new, non-contact, non-destructive, and relatively inexpensive technique to measure the width of the grooves made by the writing. Results demonstrate a clear difference in measured groove widths for varying pen pressure.