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Latent fingerprints (LFPs) are invisible impressions that need to be developed before being used for criminal investigation; however, existing fingerprint visualization techniques face challenges, such as complex preparation and poor contrast. To advance practical fingerprint detection, green-emissive micron-sized curcumin/kaolin composites were synthesized a facile and cost-effective one-step physical cross-linking method, which exhibited unprecedented performance in developing diversified marks, including LFPs, knuckle prints, palm prints, and footprints, with clear three-level details on various substrates. Notably, the powders successfully developed LFPs that were aged for 30 days and even up to 100 days, meeting the stringent requirements for comprehensive forensic application.

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Background And Objectives: Globally, the prevalence of diabetes and dental caries has been soaring high in recent times. There is a constant effort in the scientific community to develop a reliable and economic early predictor which can serve the purpose of mass screening of genetically vulnerable populations. The present study attempts to evaluate the different types of lip prints and finger prints in diabetes mellitus and dental caries and to see association between the most common diseases (diabetes mellitus and dental caries) if any.

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Purpose: Emerging therapeutic strategies for Kabuki syndrome (KS) make early diagnosis critical. Fingerprint analysis as a diagnostic aid for KS diagnosis could facilitate early diagnosis and expand the current patient base for clinical trials and natural history studies.

Method: Fingerprints of 74 individuals with KS, 1 individual with a KS-like phenotype, and 108 controls were collected through a mobile app.

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Here, we used a meta-analysis approach to systematically evaluate the correlation between dental caries and dermatoglyphics. To identify findings relating to the association between dental caries and dermatoglyphics, a methodical literature search was conducted in the PubMed, Embase, Cochrane Library, and Web of Science databases from inception to August 2023. Data analysis was performed using RevMan 5.

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Article Synopsis
  • The study investigates the link between dermatoglyphic patterns (fingerprint characteristics) and schizophrenia-spectrum disorders (SSD), suggesting these patterns may reflect neurodevelopmental vulnerabilities.
  • Researchers analyzed the relationship between two genetic polymorphisms in the Cannabinoid Receptor 1 gene and three dermatoglyphic markers among 97 patients with SSD and 112 controls.
  • Findings indicate that one genetic variant, rs2023239, modifies how dermatoglyphic pattern intensity relates to SSD risk, underscoring the potential role of the endocannabinoid system in neurodevelopment and highlighting the need for further research combining genetics and dermatoglyphics.
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