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法医学研究ジャーナル

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音量 14, 問題 5 (2023)

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Percutaneous anthropometric measurements of the upper arm and forearm bones in the adult Nigerian population in Lagos: Determination of Stature and Gender

Sujel Abkar

Like other phenotypic traits, stature is a key indicator for identification and is influenced by a combination of genetic and environmental factors. With the alarming rise in the frequency of road, flood, intentional mutilation, and natural disasters, stature or body height is one of the most significant and useful anthropometric parameters that establish a person's physical identity. It is also regarded as one of the important and significant parameters for the establishment of personal identity in forensic medical examination or anthropological studies. To determine stature and gender in an adult Nigerian population by measuring the percutaneous length of the arm and forearm bones. The University of Lagos' workers, students, and volunteers made up the sample group for this study, which included 222 people (115 men and 107 women) between the ages of 18 and 65. a variety of anthropological tools, including the Stadiometer, an anthropometric tool produced by SECA alpha® in Germany. The measurement was performed using calliper, weighing balance, and tape that were calibrated in centimetres. The intercondylar breadth had the best value for statistical significance in the sex prediction made using logistic regression. The largest link with stature was found for the ulnar measurement, whereas the smallest correlation was found for the intercondylar measurement across all parameters. Both males and females can have their arm and forearm lengths measured percutaneously, which has good reliability for estimating stature and predicting sex. The intercondylar is more strongly correlated with sexual dimorphism. Simple and numerous linear regressions demonstrated that using the foot length is the most accurate technique to predict and estimate stature.

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Follic mucinosis was discovered in patients with hematologic malignancies other than mycosis fungoides, according to a clinicopathologic study.

Ajay Rajput

FM is a rare idiopathic skin condition that typically manifests as infiltrated plaques, nodules, hypopigmented or erythematous patches, and eshcolored follicular papules. Alopecia areata-like symptoms, scarring alopecia, folliculitis, acneiform eruptions, linear lesions that follow Blaschko lines and urticaria-like follicular mucinosis are examples of unusual presentations. In primary FM, the face, head, and neck are frequently affected, whereas the trunk and extremities exhibit extensive lesions. Clinical characteristics, however, are insufficiently specific to discriminate between the secondary form linked to mycosis fungoides and the benign main type. Follow-up is therefore crucial. On the right side of her forehead, a 16-yearold girl had a steadily expanding, erythematous, somewhat irritating patch for the previous two years. The patient's family history and previous medical history were both normal.

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Utilising novel Raman spectroscopy methods in the field of forensic science

Betis Grown

This article audits some new turn of events and use of some strong and generally new Raman spectroscopic techniques in the measurable science field. Surface-upgraded Raman spectroscopy has been utilized for the delicate examination of follow measures of controlled substances. Moved excitation Raman contrast spectroscopy has been used to get fluorescence-foundation free Raman spectra for some scientific proof. Furthermore, spatially offset Raman spectroscopy has been sent to investigate surface materials, like explosives and medications, straightforwardly through surface bundling and holder materials. A portion of these techniques have been joined to create significantly more useful assets for some exceptionally confounded scientific examination situations. This multitude of techniques is exceptionally encouraging in supporting measurable examination, guaranteeing fair organization of equity and security.

研究論文

Formation Pattern Classification of Paper based on Imaging using Multiple Light Sources

Ka Young Lee*, Seongho Lim, Youngsoo Lee and Young Bin Pyo

The analysis and identification of paper is a major research topic in the field of forensic document examination. Damage to documents serving as test specimens must be reduced to a minimum; thus, a non-destructive analysis method must be used for analyzing the paper that comprises the documents. Various non-destructive analysis and identification methods are currently being developed for this purpose. Herein, multiple light sources were used to perform non-destructive optical inspection of office paper specimens of major brands used in South Korea to verify the possibility of analysis and identification. Additionally, the images obtained through the non-destructive analysis were applied in a deep learning algorithm to test whether paper specimens from the same brand could be automatically classified.

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