Extra‐acral cutaneous sclerosing perineurioma with CD34 fingerprint pattern

2017 ◽  
Vol 44 (4) ◽  
pp. 388-392 ◽  
Author(s):  
Ricardo S. Macarenco ◽  
Jade Cury‐Martins
Keyword(s):  
Fingerprint Pattern ◽  
Sclerosing Perineurioma

The Link between Fingerprints, Genetics & Chronic Periodontitis: A Dermatoglyphic Study

2019 ◽  
Author(s):  
S.S.Sai Karthikeyan
Keyword(s):  
Frequency Distribution ◽  
Chronic Periodontitis ◽  
Statistical Significance ◽  
General Medicine ◽  
Forensic Odontology ◽  
Ridge Count ◽  
Periodontal Tissues ◽  
Inflammatory Conditions ◽  
Chronic Inflammatory Condition ◽  
Fingerprint Pattern

Background: Several methods have been employed for diagnosing inflammatory conditions including biomarkers, enzymes and various other clinical parameters. Dermatoglyphics is one such field which has gained entry in Forensic Medicine, Forensic Odontology and in General Medicine for diagnosing chronic inflammatory conditions. Periodontitis is a chronic inflammatory condition associated with destruction of periodontal tissues. This study aimed to assess the relationship between the fingerprint patterns and chronic periodontitis Methods: A total of 60 patients, belonging to both healthy and chronic periodontitis subjects were assessed by a commercially available fingerprint scanner. All the fingerprint images were assessed for the fingerprint pattern and the ridge count manually. The results were tabulated as percentage frequency distribution for the type of fingerprint pattern. The ridge count is shown as mean ± SD. Unpaired t test was applied to test for statistical significance. Results: The frequency distribution showed equal percentage of Radial Loop type of fingerprint pattern in subjects of both Health and Chronic Periodontitis. Statistical analysis showed Plain Whorl type of fingerprint pattern more significant in subjects having Chronic Periodontitis Conclusion: It was concluded that there might be a relationship between type of fingerprint pattern to the chances of a person having Chronic Periodontitis.

scholarly journals Comparative Dermatoglyphic Study Between Schizophrenic Patients and Healthy Controls

KYAMC Journal ◽  
2019 ◽  
Vol 10 (2) ◽  
pp. 66-72
Author(s):  
Rashed Mustafa ◽  
Akhtari Afroze ◽  
Sabrina Sobnom ◽  
Abdullah Al Mamun Hossain ◽  
Md Shameem Ahmed ◽  
...  
Keyword(s):  
Medical Science ◽  
Control Loop ◽  
Ridge Pattern ◽  
Fingerprint Pattern ◽  
Loop Pattern ◽  
Schizophrenic Patients ◽  
Healthy Control ◽  
Being There ◽  
Genetically Determined ◽  
Selection Of

Introduction: Dermatoglyphics is the branch of medical science that is concerned with the study of dermal ridges present on fingers, palms, toes and the soles of the human being. There may have some association between fingerprints and schizophrenia regarding the developmental background of skin ridge pattern and brain.So this study was conducted to find out the fingerprint patterns in schizophrenic patients and also to find out sex variation of fingerprint patterns in between schizophrenic male and schizophrenic female. Objective: This study was carried out with a view to find out the fingerprint patterns in schizophrenic patients. Methodology: A total of 200 samples were selected. Among them, 100 were schizophrenic and 100 were normal healthy control. Samples were taken in between 15 to 40 years of age. Selection of schizophrenic sample was performed by a qualified psychiatrist. Fingerprints were taken by Ink and pad method, described by Cummins. Fingerprint patterns were observed by using a magnifying glass. Results: The frequency of common fingerprint pattern was reduced in schizophrenia. In healthy control loop pattern was predominant. But in schizophrenia frequency of loop pattern was reduced and there was an increased frequency of whorl and arch pattern. Conclusion: Asdermatoglyphics is genetically determined, predominant whorl and arch pattern found among the schizophrenic patients might provide a presumptive value which would aid in diagnosis of the disease. KYAMC Journal Vol. 10, No.-2, July 2019, Page 66-72

scholarly journals SMPLIP-Score: predicting ligand binding affinity from simple and interpretable on-the-fly interaction fingerprint pattern descriptors

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Surendra Kumar ◽  
Mi-hyun Kim
Keyword(s):  
Ligand Binding ◽  
Binding Affinity ◽  
Scoring Functions ◽  
Binding Affinities ◽  
Ligand Interaction ◽  
Fingerprint Pattern ◽  
Comparable Performance ◽  
Direct Interpretation ◽  
Benchmark Datasets ◽  
Complex Features

AbstractIn drug discovery, rapid and accurate prediction of protein–ligand binding affinities is a pivotal task for lead optimization with acceptable on-target potency as well as pharmacological efficacy. Furthermore, researchers hope for a high correlation between docking score and pose with key interactive residues, although scoring functions as free energy surrogates of protein–ligand complexes have failed to provide collinearity. Recently, various machine learning or deep learning methods have been proposed to overcome the drawbacks of scoring functions. Despite being highly accurate, their featurization process is complex and the meaning of the embedded features cannot directly be interpreted by human recognition without an additional feature analysis. Here, we propose SMPLIP-Score (Substructural Molecular and Protein–Ligand Interaction Pattern Score), a direct interpretable predictor of absolute binding affinity. Our simple featurization embeds the interaction fingerprint pattern on the ligand-binding site environment and molecular fragments of ligands into an input vectorized matrix for learning layers (random forest or deep neural network). Despite their less complex features than other state-of-the-art models, SMPLIP-Score achieved comparable performance, a Pearson’s correlation coefficient up to 0.80, and a root mean square error up to 1.18 in pK units with several benchmark datasets (PDBbind v.2015, Astex Diverse Set, CSAR NRC HiQ, FEP, PDBbind NMR, and CASF-2016). For this model, generality, predictive power, ranking power, and robustness were examined using direct interpretation of feature matrices for specific targets.

Comprehensive two-dimensional gas chromatography for fingerprint pattern recognition in cachaça production

Talanta ◽  
2008 ◽  
Vol 74 (4) ◽  
pp. 793-799 ◽  
Author(s):  
Z.L. Cardeal ◽  
P.P. de Souza ◽  
M.D.R. Gomes da Silva ◽  
P.J. Marriott
Keyword(s):  
Pattern Recognition ◽  
Gas Chromatography ◽  
Two Dimensional ◽  
Fingerprint Pattern

Extra-acral cutaneous/soft tissue sclerosing perineurioma: an under-recognized entity in the differential of CD34-positive cutaneous neoplasms

2010 ◽  
Vol 37 (10) ◽  
pp. 1053-1056 ◽  
Author(s):  
Melanie D. Fox ◽  
Briana C. Gleason ◽  
Antoinette B. Thomas ◽  
Thomas A. Victor ◽  
Thomas L. Cibull
Keyword(s):  
Soft Tissue ◽  
Sclerosing Perineurioma

scholarly journals Extraneural Sclerosing Perineurioma of the Buccal Mucosa: A Case Report and Clinicopathologic Review

2010 ◽  
Vol 4 (2) ◽  
pp. 169-173 ◽  
Author(s):  
Vikki L. Noonan ◽  
David J. Greene ◽  
Gilbert Brodsky ◽  
Sadru P. Kabani
Keyword(s):  
Case Report ◽  
Buccal Mucosa ◽  
Sclerosing Perineurioma

scholarly journals VARIATION DIFFERENCES OF PHALANX DISTAL FINGER PRINT PATTERN ON KLEPTOMANIA PATIENS AND NON-PATIENTS IN POLICE RESORT JEMBER

2020 ◽  
Vol 8 (1) ◽  
pp. 34-43
Author(s):  
Amalia Rozaiza Ightikhoma ◽  
Nazaratun Thaiyibah ◽  
Ahmad Yudianto
Keyword(s):  
Severe Trauma ◽  
Identification System ◽  
Unique Pattern ◽  
Finger Print ◽  
The Third ◽  
Radial Loop ◽  
Ulnar Loop ◽  
Fingerprint Pattern

Phalanx distal pattern is a curve appeared and formed an unchangeable pattern unless it is caused by a severe trauma. Phalanx distal patterns are classified into 9, namely, Plain Arch, Tentarch, Ulnar loop, and Accidental. In order to find out suspect’s identity, Indonesia Autometic Print Identification System (INAFIS) used 3 stages, which one of them is to determine pattern variation. Phalanx distal fingerprint on human can be utilized as to identify a person, whereas no one has resembled phalanx distal fingerprint even on twins. In this research, the researcher analyzed tendentious pattern variation of phalanx distal pattern on kleptomaniac in police resort office Jember. Generally, phalanx distal fingerprint pattern found on kleptomaniac tendentiously has unique pattern plain arch as the third most apparent pattern beside unlar loop and whorl, meanwhile it was found radial loop on non-patient as the third most apparent beside unlar loop and whorl which generally was phalanx distal fingerprint.

scholarly journals DIFFERENTIATION OF Curcuma longa, Curcuma xanthorrhiza and Zingiber cassumunar BY THIN LAYER CHROMATOGRAPHY FINGERPRINT ANALYSIS

2011 ◽  
Vol 11 (1) ◽  
pp. 71-74 ◽  
Author(s):  
Mohamad Rafi ◽  
Eti Rohaeti ◽  
Ali Miftahudin ◽  
Latifah K. Darusman
Keyword(s):  
Thin Layer ◽  
Thin Layer Chromatography ◽  
Curcuma Longa ◽  
Chemical Compounds ◽  
Specific Marker ◽  
Fingerprint Analysis ◽  
Fingerprint Pattern ◽  
Curcuma Xanthorrhiza ◽  
Zingiber Cassumunar ◽  
Layer Chromatography

Turmeric (Curcuma longa), java turmeric (Curcuma xanthorrhiza) and cassumunar ginger (Zingiber cassumunar) are widely used in traditional Indonesian medicine. These three herbs have relatively similar rhizomes colour so it is difficult to be differentiated especially if they are in powder form. A rapid and reliable method, thin layer chromatography (TLC) fingerprint, has been developed in order to identify, authenticate and differentiate these three herbs through fingerprint profile of chemical compounds. TLC fingerprints of the three herbs were obtained by visualization of separate zones with visible and UV (254 and 366 nm) light. The TLC fingerprint pattern is different each other and showed a specific marker zones respectively. Therefore, TLC fingerprint can be utilized for identification, authentication and differentiation method in quality control of the three herbs tested.

scholarly journals New PCR Primer Pairs Specific for Cryptococcus neoformans Serotype A or B Prepared on the Basis of Random Amplified Polymorphic DNA Fingerprint Pattern Analyses

1999 ◽  
Vol 37 (2) ◽  
pp. 315-320 ◽  
Author(s):  
Francisco Hideo Aoki ◽  
Tamae Imai ◽  
Reiko Tanaka ◽  
Yuzuru Mikami ◽  
Hideaki Taguchi ◽  
...  
Keyword(s):  
Cryptococcus Neoformans ◽  
Dna Sequences ◽  
Random Amplified Polymorphic Dna ◽  
Pcr Primers ◽  
Dna Fingerprint ◽  
Serotype A ◽  
Specific Pcr ◽  
Fingerprint Pattern ◽  
Serotype B ◽  
Pcr Primer

Thirty-three strains of Cryptococcus neoformans were isolated from clinical specimens, including specimens from AIDS patients in Brazil, and were classified into two serotypes; we detected 31 and 2 strains of serotypes A and B, respectively. Random amplified polymorphic DNA (RAPD) fingerprint pattern analyses of these strains of serotypes A and B showed that the patterns were similar for strains of each serotype when three 10-mer primers were used as the RAPD primers. Comparative studies of the fingerprint patterns of the study isolates with those of the reference strains also showed that the RAPD patterns for strains of each serotype were related and that most of the fingerprint bands existed commonly for all strains of each serotype tested. The common RAPD bands (an approximately 700-bp band for serotype A and an approximately 450-bp band for serotype B) were extracted and the DNA sequences were determined. Using this information, we prepared two and one PCR primer pairs which were expected to be specific for C. neoformans serotypes A and B, respectively. Use of each PCR primer combination thus prepared for serotype A or B was 100% successful in identifying the respectiveC. neoformans serotypes, including the 33 clinical isolates tested in the present study. Among these combinations, one for serotype A was found to amplify DNA from C. neoformans serotype B as well as serotype A. Serotype B-specific PCR primer pairs amplified DNA from not only serotype B strains but also from serotype C strains. The usefulness of other serotype-specific PCR primers for clinical C. neoformans isolates is discussed.

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