Several observations have showed the synergistic effect of nutrients elements and phytoestrogens on bone resorption elimination. Zn is one of the trace elements found to increase the stimulatory effect of phytoestrogens including genestein, coumestrol and daidzein on bone formation; however the synergistic modulation of Zn, genestein, coumestrol and daidzein on proinflammatory-producing T-cells and receptor  activator of NFκB ligand (RANKL) expression that implicated in osteoclast formation is still open area to debate. This study found that Zn enhanced the inhibitory effect of genistein, daidzein and coumestrol on TNF-α expression; however the same effect was shown with daidzein on IL-1β expression while there is no furthe

This study was conducted for evaluating the cytotoxic effect of heat stable enterotoxin a (STa) produced by enterotoxigenic Escherichia coli on the proliferation of primary cancer cell cultures, obtained from tumor samples that were collected from (13) cancer patients and as follows: (five colon cancer patients, two bladder cancer patients, two breast cancer patients, two stomach cancer patients and two lung cancer patients), and on normal cell line (rat embryonic fibroblast / REF) (in vitro) with the use of different concentrations starting from (1) mg/ml and ending with (0.0002) mg/ml by making two fold serial dilutions by using the 96- well microtiter plate, and in comparison with negative (PBS) and positive (MMC, at concentration

Background: The long term survival of dental implants is evaluated by the amount of crestal bone loss around the implants. Some initial loss of bone around dental implants is generally expected. There is reason to believe that reflecting a mucoperiosteal flap promotes crestal bone loss in the initial phase after an implant has been inserted. The surgical placement of a dental implant fixture is constantly changing and in recent years, there has been some interest in developing techniques that minimize the invasive nature of the procedure, with flapless implant surgery being advocated. The purpose of this study was to compare the radiographic level of the peri- implant bone after implant placement between traditional flapped surgery and f

       Let R be a commutative ring with unity .M an R-Module. M is called coprime module     (dual notion of prime module) if ann M =ann M/N for every proper submodule N of M   In this paper we study coprime modules we give many basic properties of this concept. Also we give many characterization of it under certain of module.

Abstract

One of the most suitable materials to be used in latent heat thermal energy storage system (LHTES) are Phase change materials, but a problem of slow melting and solidification processes made many researchers focusing on how to improve their thermal properties. This experimental work concerned with the enhancing of thermal conductivity of phase change material. The enhancing method was by the addition of copper Lessing rings in phase change material (paraffin wax). The effect of diameter for the used rings was studied by using two different diameters (0.5 cm and 1cm). Also, three volumetric percentages of rings addition (3%, 6% and 10%) were tested for each diameter. The discharging process was done with

     Ghrelin and leptin are two hormones that possess multiple functions, including appetite regulation, maintenance of the tissue homeostasis and regulation of proinflammatory cytokines. A few studies on serum ghrelin and leptin levels in autoimmune diseases have exhibited conflicting results. Therefore, the present study aimed to investigate the relationship between the two energy balance hormones and autoimmune diseases. Serum ghrelin and leptin levels were assessed in 94 adult patients, 61 females and 33 males, with various autoimmune diseases (celiac disease, type 1 diabetes mellitus and rheumatoid arthritis) as well as in 35 healthy people as controls, using commercially available ELISA kits. Statistically important distinction

      Coronavirus is considered the first virus to sweep the world in the twenty-first century, it appeared by the end of 2019. It started in the Chinese city of Wuhan and began to spread in different regions around the world too quickly and uncontrollable due to the lack of medical examinations and their inefficiency. So, the process of detecting the disease needs an accurate and quickly detection techniques and tools. The X-Ray images are good and quick in diagnosing the disease, but an automatic and accurate diagnosis is needed. Therefore, this paper presents an automated methodology based on deep learning in diagnosing COVID-19. In this paper, the proposed system is using a convolutional neural network, which is considered one o