Search results for “fingerprints

About 4 results in articles

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4 articles

Embryogenesis and Applications of Fingerprints- a review

Jun 2017 DOI 10.14302/issn.2577-2279.ijha-17-1539
LH AdamuCorresponding author Department of Anatomy, Faculty of Basic Medical Sciences, College of Health Sciences, Bayero University, Kano, Nigeria

Fingerprint is an impression made by the friction ridges that are almost parallel at constant crest to crest wavelength. The pattern is dominated by central features, such as whorls, loops, arches and triradii. Fingerprints have been used for several decades in forensic and medical sciences. The fingerprints characteristics such uniqueness, consistency and universality are the main features that are used by forensic experts in identification processes, are well developed during intra-uterine life. Understanding embryogenesis of fingerprints is essential in linking its features to some disease conditions. The purpose of this review was to highlight information regarding establishment, formation, hypotheses and factors affecting fingerprints. Applications of the fingerprints in forensic and medical sciences were also highlighted. Both environmental (in utero) and genetic factors have role to play in the formation of the fingerprints. The primary role of fingerprints is personal identification; these can be achieved through revealing sex, ethnicity, diet and lifestyle of an individual. In another perspective the fingerprints can be used as tools in diagnosis and ascertaining presence of disease conditions, however, this is population specific.

Occlusal Contact Prints; A Biometric Means for Identification

Aug 2022 DOI 10.14302/issn.2692-5915.jafs-22-4157
L. Millstein PhilipCorresponding author DMD, MS. Lecturer at Harvard School of Dental Medicine Department of Restorative Dentistry. Boston, Massachusetts. 02115

Fingerprints are commonly used for identification 1. All records are computerized. In a catastrophe recorded images of soft tissue may become useless if the tissues burn throughout. Dental prints are rarely used for identification. Information is taken from dental radiographs or dental casts. In case of fire recorded images of dental structures may be useful because they do not readily burn.

Agronomy Research Open Access

Spectroscopic Kernel Quality from a Symbiotic Corn Production

Mar 2020 DOI 10.14302/issn.2639-3166.jar-20-3260
Masoero GiorgioCorresponding author Accademia di Agricoltura di Torino, Via A. Doria 10, 10123 Torino (Italy).

The management of the inoculation of a plant’s roots, by means of biofertilizers (BF) containing arbuscular mycorrhizal (AM) fungi, is aimed at inducing modifications of the quality of the seeds. It is here shown that a seed-soil treatment can be elicited in the fingerprints of a symbiotic treatment using Near Infra Red (NIR)-SCiO  NIR-SCiO spectra collections of single kernels: overall, a sensitivity of 73% and a specificity of 73% have been achieved, thus suggesting that it may be possible to assign the symbiotic origin of corn from just twenty kernels, provided that the dataset is adequately representative of the cultivar and AM. A global correlation study has shown a positive general trend (R2 0.45) of quality vs. quantity, in the sense that an increase in yield corresponded to an increase in the spectral differences between the symbiotic spectra and the control ones, but the inverse was also true, as a result of the parasitic behaviour of the BF treatments. The efficacy of the symbiosis can be back predicted from the NIR spectra; in fact, around 90% of the positive yield outcome results were discriminated from the negative ones. A reduction in the foliar pH (R2 0.37) and an increase in the foliar protein (R2 0.43) were observed as immediate phenotypic signs of a productive symbiosis. The commercial raw composition of the kernels appeared to only be affected slightly by the BF treatments; thus, till now uncharted secondary compounds of the maize kernels are involved, as supported by animal performances.

Agronomy Research Open Access

Spectroscopic and Foliar pH Model for Yield Prediction in a Symbiotic Corn Production 

Nov 2019 DOI 10.14302/issn.2639-3166.jar-19-3089
Masoero GiorgioCorresponding author Accademia di Agricoltura di Torino, Italy

The agronomic management of symbiotic (S) inoculations, by means of bio-fertilizers (BF), is aimed at inducing modifications of the plant rhizosphere and thereafter of the phenotype and yield of the crop. It is here shown that the yield response of maize to a symbiotic treatment may be correlated to six easy-to-calculate indicator variables on the basis of the raw foliar pH, NIR-Spectroscopy of leaves, and the NIRS of hay litter-bags from soils. It has been confirmed, in a set of thirteen pairwise comparisons of Symbiotic (S) soil inoculated by BF vs. Control (non-inoculated soil; C), that the inoculation on average acidified the leaves by -3.7% pH units (P<0.0001). The responses in yield ranged from +25.2% to -9.2% (av.ge +3.5%; P = 0.03), but with average null responses in two centers and a significant response (+11%) in a third center. NIR-Tomoscopy scans (No. 574) were also performed on the leaves, and in addition, hay-litter-bags that had previously been buried in fields were dug up after two months, and 431 NIR- scans were acquired. The effect-size on the yield was expressed as the logarithm of the response ratio, i.e. the mean of the inoculated Symbiotic treatment divided by the mean of the non-inoculated Control for each pairwise comparison. A multiple regression model was developed to predict the symbiotic response to the treatment using six independent variables, including the squared litter-bag fingerprints, and an R2adj. level of 0.78 (P=0.01) was reached, with a standard error of ±4%. Validation in one external maize field, with a positive response to bio-fertilizers, demonstrates the juxtaposition of the estimated and accomplished yield. In a second experiment, with 40 pairwise comparisons, the two tested maize varieties did not respond to five types of bio-fertilizer, and the negative results were predicted at 84% (P 0.0012). The soil biota is a key factor for the application of appropriate microbial inoculants in the field, but the genotype/genotype interactions between the microbial strain (s) and the crop cultivar (s) require prior screening to obtain the desired results.

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