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fingerprint patterns in Students with Learning Disability:Evidence of Sexual Dimorphism and Potential for Diagnosis in a Nigerian Population

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Journal of Forensic Science and Medicine 2023年第2期9卷 153-161,I0001-I0005页

作者： Ndubuisi Paris Obi Izuchukwu Azuka Okafor Chijioke Okeke Department of Anatomy Faculty of Basic Medical SciencesCollege of Health SciencesNnamdi Azikiwe UniversityNnewi CampusNnewi Department of Obstetrics and Gynaecology College of MedicineUniversity of Ibadan Department of Reproductive Health Sciences Pan African University of Life and Earth Science Institute(Including Health and Agriculture)University of IbadanIbadanNigeria

This study assessed the sex-based relationship and prediction pattern between fingerprint patterns,ridge counts,and learning disability(LD).This cross-sectional study recruited 300 students(150 LD and 150 non-LD)aged between 3 and 29 *** fingerprint patterns(arch,whorl,ulnar loop,and radial loop)and the ridge count:total finger ridge count(TFRC),absolute ridge count(ARC),ulnar ridge count(URC),and radial ridge count(RRC)were *** with LD showed a significantly higher whorl and a significantly lower ulnar loop than students without *** is a significant association of whorl pattern in the first right finger of subjects with LD compared to non-LD ***,ARC,and URC were significantly higher in females with LD than non-LD females(P=0.01,0.03,and 0.001).Males with LD showed significantly lower TFRC,RRC,and URC counts than the non-LD males(P=0.02,0.01,and 0.001).TFRC can predict LD in males(odds ratio[OR]=1.010,P=0.032)and females(OR=0.993,P=0.012).fingerprint pattern and ridge counts are sexually dimorphic in subjects with or without *** and whorl fingerprint patterns may be vital predictive and screening tools for LD in males and females.

关键词： Dermatoglyphics finger ridge count fingerprint patterns learning disability predictive tool sexual dimorphism

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Multifunctional Dy(Ⅲ)doped di-calcium silicate array for boosting display and forensic applications

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Journal of Rare Earths 2018年第7期36卷 690-702页

作者： M.Venkataravanappa R.B.Basavaraj G.P.Darshan B.Daruka Prasad S.C.Sharma P.Hema Prabha S.Ramani H.Nagabhushana Department of Physics Govt.First Grade CollegeSiraTumkur 572 137India Research and Development Center Bharathiar UniversityCoimbatore 641 046India Prof.CN.R.Rao Centre for Advanced Materials Research Tumkur UniversityTumkur 572 103India Department of Physics Acharya Institute of Graduate StudiesBangalore 560 107India Department of Physics BMS Institute of Technology and ManagementVTU-afflliatedBangalore 560 064India Department of Mechanical Engineering Jain UniversityJain Group of InstitutionsBangalore 560 069India Avinashilingam Institute for Home Science and Higher Education for Women University Coimbatore 6410 43India Department of Food Processing and Preservation Technology Avinashilingam Institute for Home Science and Higher Education for Women UniversityCoimbatore 641043India

Latent fingerprints（LFPs） are the major physical evidences for the identification of individuals during crime spot investigation. Till date, numerous methods were followed to visualize LFPs. However, simple,accurate, and cost-effective method has wide scope in advanced forensic field. In our work, Ca2 SiO4：Dy^（3＋）nanopowders（NPs） were fabricated via solution combustion route. The optimized sample was employed for the visualization of overlapped LFPs by the cost effective powder dusting method. The obtained results reveals the complete three levels of ridge characteristics with high sensitivity, reproducibility,selectivity, and reliability on various complex surfaces. The photoluminescence（PL） spectra consist of intense peaks at ～ 480 and 574 nm owing to ~4 F（9/2） →~6 H（15/2） and ~4 F（9/2）→~6 H（13/2） 4 f transitions of Dy3＋ ions,respectively. The photometric properties confirm that the samples exhibit intense white emission with high color purity. Therefore, the prepared NPs could be a definitive choice as an advanced luminescent NPs for forensic, solid state lighting and portable FED devices.

关键词： Solution combustion Photoluminescence Solid state lighting fingerprint patterns Sweat pores Rare earths

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