The aim of this study was to evaluate the possibility of using Staphylococcus epidermidis cells as a probiotic to treat some skin infections. For this purpose, S. epidermidis Y73, which is an active bacteriocin producer and non-biofilm forming isolate, was selected among 134 skin isolates through primary and secondary screening. Tryptic soya broth was selected as the best medium to support bacteriocin production, while the optimal pH and temperature for S. epidermidis Y73 growth were 7 and 37°C, respectively, which were invested in the formula preparation. Furthermore, the possibility of using this isolate as a probiotic was investigated by preparing 4 potential cellulosic pads with 4 different formulae whic

The histological structure of integument in Mastacembelus mastacembelus have been investigated from skin fragments cut from nine regions at body surface. The results revealed that the integument of the fish investigated comprises three principal layers- the epidermis, the dermis (corium) and the subcutis-All the three principal layers may further be divided into secondary layers according to the function performed by their cells. The epidermis may further divided into three layers- the outermost epithelial coverage, the middle layer and the basal layer (stratum germinatiuum)-The dermis consists of a relatively thin upper layer of loose vascular connective tissue called the stratum laxum and a thick lower compact layer- the stratum compactu

DeepFake is a concern for celebrities and everyone because it is simple to create. DeepFake images, especially high-quality ones, are difficult to detect using people, local descriptors, and current approaches. On the other hand, video manipulation detection is more accessible than an image, which many state-of-the-art systems offer. Moreover, the detection of video manipulation depends entirely on its detection through images. Many worked on DeepFake detection in images, but they had complex mathematical calculations in preprocessing steps, and many limitations, including that the face must be in front, the eyes have to be open, and the mouth should be open with the appearance of teeth, etc. Also, the accuracy of their counterfeit detectio

     Automated medical diagnosis is an important topic, especially in detection and classification of diseases. Malaria is one of the most widespread diseases, with more than 200 million cases, according to the 2016 WHO report. Malaria is usually diagnosed using thin and thick blood smears under a microscope. However, proper diagnosis is difficult, especially in poor countries where the disease is most widespread. Therefore, automatic diagnostics helps in identifying the disease through images of red blood cells, with the use of machine learning techniques and digital image processing. This paper presents an accurate model using a Deep Convolutional Neural Network build from scratch. The paper also proposed three CNN

This experiment was conducted in order to estimate azulene and apigenin in chamomile flowers. Ethanol extracts were examined singly or in combination with some drugs in their biological activity against some pathogens causing skin infection. Ethanol extract was applied at a concentration of 40 mg/ml for the treatment of induced skin infection of mice. Among the topicals used, Claforan was found the most effective on microorganisms causing skin diseases; ethanol extract was more effective than the drug Candimazole solution 1%. HPLC was used for the determination of azulene and apigenin active compounds of chamomile plant.

      Many neuroscience applications, including understanding the evolution of the brain, rely on neural cell instance segmentation, which seeks to integrate the identification and segmentation of neuronal cells in microscopic imagery. However, the task is complicated by cell adhesion, deformation, vague cell outlines, low-contrast cell protrusion structures, and background imperfections. On the other hand, existing segmentation approaches frequently produce inaccurate findings. As a result, an effective strategy for using the residual network with attention to segment cells is suggested in this paper. The segmentation mask of neural cells may be accurately predicted. This method is built on U-net, with EfficientNet serving as the e

Background: Autoimmune hepatitis (AH) is a rare chronic liver disease of unknown etiology,

This study includes the preparation of the ferrite nanoparticles Cu_xCe_0.3-XNi_0.7Fe₂O₄ (where: x = 0, 0.05, 0.1, 0.15, 0.2, 0.25, 0.3) using the sol-gel (auto combustion) method, and citric acid was used as a fuel for combustion. The results of the tests conducted by X-ray diffraction (XRD), emitting-field scanning electron microscopy (FE-SEM), energy-dispersive X-ray analyzer (EDX), and Vibration Sample Magnetic Device (VSM) showed that the compound has a face-centered cubic structure, and the lattice constant is increased with increasing Cu ion. On the other hand, the compound has apparent porosity and spherical particles, and t

Background: Diyala have many internally displaced persons as a consequence of the armed conflict. Those peoples experience serious health problems related to their displacement, including skin disorders.
Objective: To determine the prevalence of skin diseases and the use of health care among displaced patients in Diyala.
Methods: A case-series study conducted on 246 displaced patients from May to November 2017, who attended Baqubah teaching hospital in Diyala. All patients were diagnosed by dermatologists depending on clinical findings.
Results: A total of 246 displaced patient from all age groups mean±SD (21.9±18.59) years, range 1-64) consulate the clinic, of them (29.3%) male and (70.7%) female with male to female ratio (1:

Abstract. Healthy skin is an important layer that gives appearance and self-confidence. The skin is affected by internal and external factors that surrounding the body. The problem of skin diseases is considered as one of the widespread diseases. The occurrence of these diseases varies from place to place depending on the nature of climate, the culture of the people, and their economic condition. A cross-sectional study of skin diseases was conducted at the dermatology centre for outpatient clinic of Baghdad hospital. The study is based on 7555 patients of all ages who are attended to this hospital in order to determine the prevalence of skin diseases. The study shows that the most prevalence skin diseases were infectious diseases with