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TRiRZJgBVTCNdQwCabwa
Scarring and None Scarring Facial Acne Vulgaris and the Frequency of Associated Skin Diseases
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BSTRACT: BACKGROUND: Acne vulgaris(AV)is chronic inflammatory disease of pilosebaceous unit of young people. Patients with acne with or with out scarring might differ in regard to their immunological background from those free from acne. OBJECTIVES: To evaluate the problem of facial AV especially patients with scarring and to determine the frequency of associated skin diseases and to be compared with acne free control. METHODS: A cross sectional randomized controlled epidemiological study was conducted from Oct.2005-Oct. 2006.Three hundred students from Basra University; 132 (44%) males and 168 (56%) females were enrolled, their ages ranged from 18-25 (20.9±1.8) years. They were divided into: Group A those free from acne (98 individuals),Group B with non scarring facial AV (96 patients), and Group C with scarring facial AV (106 patients). History and examination were done for their acne, scarring acne and associated skin diseases. Allen and Smith grading system for AV were used, and a new invented multiparametric scoring system for scarring acne was applied. RESULTS: AV was in 98(73.24%) males and 104 (61.9%) females. Scarring was 54 (50.95%) males and 52 (49.05%) females. Greasy skin was the most common type among Group B 67 (69.8%) versus 39 (39.8%) among Group A(P=0.000029) and was more common among Group C 84(79.2%) (P=0.00000001).Family history of AV was nearly similar in A and B Groups 55(57.29%) and 56 (52.83%) respectively, while in Group A was 39 (39.79%). Family history of scarring acne was in 35(33.02 %) of Group C, 16 (16.66 %) of Group B, and 3 (3.1%) in Group A; (P=0.00000017). The age of onset was similar in A and B Groups between 15-16 years. Majority of patients in Group B had non inflammatory type or mild inflammatory (papular) 65 (67.8%) patients, most of case were mild and moderate 86 (89.58%) patients, while high percent in Group C had inflammatory type 95 (89.62%), and more than half of them had severe and very severe types upon grading 56 (52.8%). The aggravating factors were similar in A and B Groups with stress and hot weather being the leading aggravating factors. Squeezing and digging habit was in 53 (50%) in Group C versus 23 (23.95%) in Group B (P=0.00024). In most cases of scarring acne, scarring was mild and moderate 85 (80.19%), and the most common type scars was the flat hyperpigmented [50 (47.17%) and 66 (62.26%) respectively].The most common effect of scarring acne on psyche was mild discomfort and mild dysmorphophobia 75 (70.75%).Associated skin diseases were more common among Group A 31 (31. 63%) than among Group B 22 (22.91%) and least common among Group C 14 (13.20%) (P=0.0067) and they were mainly dermatitis and skin infections. CONCLUSION: AV might reflect the immunological status especially among patients with scarring. The frequency of skin diseases was much less among patients with scarring acne

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Publication Date
Wed Jan 01 2020
Journal Name
International Journal Of Software & Hardware Research In Engineering
Frontal Facial Image Compression of Hybrid Base
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Publication Date
Wed Jan 01 2020
Journal Name
Journal Of Southwest Jiaotong University
Image Segmentation for Skin Detection
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Human skin detection, which usually performed before image processing, is the method of discovering skin-colored pixels and regions that may be of human faces or limbs in videos or photos. Many computer vision approaches have been developed for skin detection. A skin detector usually transforms a given pixel into a suitable color space and then uses a skin classifier to mark the pixel as a skin or a non-skin pixel. A skin classifier explains the decision boundary of the class of a skin color in the color space based on skin-colored pixels. The purpose of this research is to build a skin detection system that will distinguish between skin and non-skin pixels in colored still pictures. This performed by introducing a metric that measu

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Publication Date
Tue Nov 06 2018
Journal Name
Iraqi National Journal Of Nursing Specialties
Patients' Knowledge about Chronic Diseases towards Risk Factors and Warning Signs of Stroke
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Objectives: to assess chronic diseases patients’ knowledge toward stroke risk factors and warning signs, besides
determining the relationship between chronic diseases patients’ knowledge and their sociodemographical
characteristics.
Methodology: A descriptive study was carried out at public medical clinics which has started from December
2
nd, 2008 to August 8th, 2009. A purposive "non-probability" sample of (300) chronic diseases individuals who
were clients of Public Medical Clinics who have one or more of the following chronic diseases (hypertension,
diabetes mellitus, heart diseases, and previous stroke), in Baghdad city. The data were collected through the use
of a constructed questionnaire which consists

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Publication Date
Thu Feb 01 2018
Journal Name
Iosr Journal Of Pharmacy And Biological Sciences
Histopathological Study about effect of T.verrucosum on skin of the rabbits and treated by yellow sap and gel of Aloe vera
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Background : The dermatophytesare taxonomically related fungi causing different skin infections referred to as tineas in man or ringworm in man and animals . Objective:This study was established to investigate theof effect of yellow sap and gel of Aloe vera on skin of the rabbits which infected with T.verrucosum. Methods : Twelveskin biopsy were taken from rabbits for histopathological study to know the the effects of the T.verrucosumand treated with yellow sap and gel. Results : the results of histopathological study of effect of yellow sap and gel of Aloe vera on skin of the rabbits which infected with T.verrucosum showed the concentration of the gel of aloe vera at 75% was more effected to treat the infective area of skin with T.verrucos

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Publication Date
Sun Jun 01 2008
Journal Name
Baghdad Science Journal
The Writer Authentication by Using Syllables Frequency
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An approach is depended in the recent years to distinguish any author or writer from other by analyzing his writings or essays. This is done by analyzing the syllables of writings of an author. The syllable is composed of two letters; therefore the words of the writing are fragmented to syllables and extract the most frequency syllables to become trait of that author. The research work depend on analyzed the frequency syllables in two cases, the first, when there is a space between the words, the second, when these spaces are ignored. The results is obtained from a program which scan the syllables in the text file, the performance is best in the first case since the sequence of the selected syllables is higher than the same syllables in

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Publication Date
Tue Jan 01 2019
Journal Name
Advances In Computational Intelligence And Robotics
Groupwise Non-Rigid Image Alignment Using Few Parameters: Registration of Facial and Medical Images
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Groupwise non-rigid image alignment is a difficult non-linear optimization problem involving many parameters and often large datasets. Previous methods have explored various metrics and optimization strategies. Good results have been previously achieved with simple metrics, requiring complex optimization, often with many unintuitive parameters that require careful tuning for each dataset. In this chapter, the problem is restructured to use a simpler, iterative optimization algorithm, with very few free parameters. The warps are refined using an iterative Levenberg-Marquardt minimization to the mean, based on updating the locations of a small number of points and incorporating a stiffness constraint. This optimization approach is eff

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Publication Date
Fri Dec 05 2025
Journal Name
Journal Of Baghdad College Of Dentistry
Histological evaluation of the effect of topical application of Curcumin powder and essential oil on skin wound healing
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Background: Herbal medicine can be called one of the branches of medicine in various forms. Turmericcurcumin has proved its efficiencies a coloring, flavoring agent and has been traditionally used in medicine, exhibiting remarkable anti-inflammatory and antioxidant properties. The varied biological properties of curcumin and lack of toxicity even when administered at higher doses makes it attractive to explore its use in various disorders like diseases of skin. It is good potential agent for wound healing. Materials and methods: Sixty four new Zealand rabbits were used in this study ,they were divided into four groups,each group was subdivided as follows:Experimental groups(8 rabbits) right facial side of animals for essential oil applicati

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Publication Date
Tue Apr 19 2022
Journal Name
Chemical Methodologies
Biosynthesis, Characterization, and Applications of Bismuth Oxide Nanoparticles Using Aqueous Extract of Beta Vulgaris
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Bismuth oxide nanoparticle Bi2O3NPs has a wide range of applications and less adverse effects than conventional radio sensitizers. In this work, Bi2O3NPs (D1, D2) were successfully synthesized by using the biosynthesis method with varying bismuth salts, bismuth sulfate Bi2(SO4)3 (D1) or bismuth nitrate. Penta hydrate Bi(NO3)3.5H2O (D2) with NaOH with beta-vulgaris extract. The Bi2O3NPs properties were characterized by different spectroscopic methods to determine Bi2O3NPs structure, nature of bonds, size of nanoparticle, element phase, presence, crystallinity and morphology. The existence of the Bi2O3 band was verified by the FT-IR. The Bi2O3 NPs revealed an absorption peak in the UV-visible spectrum, with energy gap Eg = 3.80eV. The X-ray p

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Publication Date
Wed May 29 2019
Journal Name
Selected Topics In Facial Nerve Disorders
Introductory Chapter: Facial Nerve - An Overview
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Publication Date
Sun Nov 01 2020
Journal Name
Iop Conference Series: Materials Science And Engineering
Face Recognition and Emotion Recognition from Facial Expression Using Deep Learning Neural Network
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Abstract<p>Face recognition, emotion recognition represent the important bases for the human machine interaction. To recognize the person’s emotion and face, different algorithms are developed and tested. In this paper, an enhancement face and emotion recognition algorithm is implemented based on deep learning neural networks. Universal database and personal image had been used to test the proposed algorithm. Python language programming had been used to implement the proposed algorithm.</p>
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