17 research outputs found

    WOUND DRESSINGS UPLOADED WITH MYRTLE BERRIES EXTRACT AND NIGELLA SATIVA HONEY

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    Objective: Wound dressings are frequently developed by introducing new products to target different aspects of the wound healing process. Many medicated dressings incorporated with natural extracts and chemicals have been developed. Chronic wounds could be invaded by many bacteria and Pseudomonas aeruginosa and Staphylococcus aureus are the most common. S. aureus and P. aeruginosa are usually detected in the higher layer of wounds or in the deepest region of wound bed, respectively. They can express many virulence factors affecting wound healing process and leading to severe infections and antibiotic resistance. Methods: Starch based impregnated gauze containing either N. sativa honey, myrtle berries hydro-alcoholic extract or a combination were prepared. There efficacy against both P. aeruginosa and S. aureus isolated from chronic wounds. Results: N. sativa honey mixture was the most potent against P. aeruginosa with an inhibition zone diameter of 18.1±0.3 mm, while the myrtle berries hydro-alcoholic extract mixture was the most potent against S. aureus with an inhibition zone diameter of 18.4±0.5 mm. The prepared impregnated gauzes deliver a moist environment that helps wounds epithelialize more rapidly. Conclusion: In conclusion, honey and myrtle berries hydro-alcoholic extract provide antibacterial and anti-inflammatory properties that will accelerate the healing process of wounds.               Peer Review History: Received 14 March 2018;   Revised 25 April; Accepted 8 May, Available online 15 May 2018 UJPR follows the most transparent and toughest ‘Advanced OPEN peer review’ system. The identity of the authors and, reviewers will be known to each other. This transparent process will help to eradicate any possible malicious/purposeful interference by any person (publishing staff, reviewer, editor, author, etc) during peer review. As a result of this unique system, all reviewers will get their due recognition and respect, once their names are published in the papers. We expect that, by publishing peer review reports with published papers, will be helpful to many authors for drafting their article according to the specifications. Auhors will remove any error of their article and they will improve their article(s) according to the previous reports displayed with published article(s). The main purpose of it is ‘to improve the quality of a candidate manuscript’. Our reviewers check the ‘strength and weakness of a manuscript honestly’. There will increase in the perfection, and transparency. Received file:        Reviewer's Comments: Average Peer review marks at initial stage: 6.0/10 Average Peer review marks at publication stage: 7.5/10 Reviewer(s) detail: Prof. Dr. HĂŒsniye Kayalar, Ege University, Turkey, [email protected] Prof. Dr. Ali Gamal Ahmed Al-kaf, Sana'a university, Yemen, [email protected] Similar Articles: COMPARISION OF ANTIDYSLIPIEMIC POTENTIAL OF 80 MILLIGRAMS OF FENOFIBRATED WITH 8 GRAMS OF NIGELLA SATIVA SEEDS DAIL

    Pre-designing of a mechatronic system using an analytical approach with dymola

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    This paper presents a pre-dimensioning method applied to a mechatronic system and regarding the vibrational aspect, through a simple modeling process in Dymola environment. We study the vibration transmission between dynamic exciters (motors) and receivers (electronic cards) which are located on a simply supported rectangular plate, using an analytical approach. This new method will allow us to perform representative and robust modeling and simulation. The solution for this issue would be a pre-sizing and pre-positioning procedure. It aims to determine a set of possible technical solutions and principal characteristics before the definitive choice of components and precise sizing of the system. The presented method predicts also behaviour of the mechatronic system. In order to validate the model with respect to the finite element method, selected simulation results are presented

    Consideration of the uncertainty in the dimensioning of a gearbox of a wind turbine

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    The paper deals with the design approach of a subdefinite mechatronic system and focuses on the sizing stage of a gearbox of a wind turbine based on the interval computation method. Indeed, gearbox design variables are expressed by intervals to take into account the uncertainty in the estimation of these parameters. The application of the interval computation method allows minimizing the number of simulations and enables obtaining a set of solutions instead of a single one. The dynamic behavior of the gearbox is obtained using the finite element method. The challenge here is to get convergent results with intervals that reflect the efficiency of the applied method. Thus, several mathematical formulations have been tested in static study and evaluated in the case of a truss. Then the interval computation method was used to simulate the behavior of the wind turbine gearbox

    Analyzing a co-occurrence gene-interaction network to identify disease-gene association

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    Abstract Background Understanding the genetic networks and their role in chronic diseases (e.g., cancer) is one of the important objectives of biological researchers. In this work, we present a text mining system that constructs a gene-gene-interaction network for the entire human genome and then performs network analysis to identify disease-related genes. We recognize the interacting genes based on their co-occurrence frequency within the biomedical literature and by employing linear and non-linear rare-event classification models. We analyze the constructed network of genes by using different network centrality measures to decide on the importance of each gene. Specifically, we apply betweenness, closeness, eigenvector, and degree centrality metrics to rank the central genes of the network and to identify possible cancer-related genes. Results We evaluated the top 15 ranked genes for different cancer types (i.e., Prostate, Breast, and Lung Cancer). The average precisions for identifying breast, prostate, and lung cancer genes vary between 80-100%. On a prostate case study, the system predicted an average of 80% prostate-related genes. Conclusions The results show that our system has the potential for improving the prediction accuracy of identifying gene-gene interaction and disease-gene associations. We also conduct a prostate cancer case study by using the threshold property in logistic regression, and we compare our approach with some of the state-of-the-art methods

    Consideration of uncertainties in the preliminary design case of an electromagnetic spindle

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    Modeling and evaluation of uncertainties constitute indeed one of the key points when making any decision. For this, designers have to compare the measured or calculated value with a range of permissible values in order to obtain a guaranteed design process. Thus, in this work, simulation of the dynamic behavior of an electromagnetic spindle was done based on the interval computation technique. Indeed, the use of this technique makes it possible to obtain a set of values for different design parameters of the spindle and, consequently, to avoid making several simulations which could make the system useless, expensive or ineffective. The proposed model is based on the combination of Matlab with ModelCenter. Matlab was used to model and simulate the system and ModelCenter to perform parametric studies to verify the influences of uncertainty on the dynamic behavior of the electromagnetic spindle and to determine the optimal design parameters

    A holonic-based method for design process of cyber-physical reconfigurable systems

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    International audienceRecent advances in manufacturing industry has led the way for the most frequently discussed topic among practitioners and academics which is cyber physical systems (CPSs). Design process of cyber physical reconfigurable systems (CPRSs) operating in a dynamic environment is a significant challenge when a meaningful coordination of tasks between human to machine and machine to machine is required. This work presents a method based on system engineering “V” model and the holonic concept to deal with design process of CPRSs, as well as, we propose complete steps to explain how to adopt configuration from the customization to the software implementation in the operational resources. To address this method, an example of CPRSs is provided for showing the interactions of autonomous holonic agents and to give the impact of coordinated tasks in the holonic multi-agent platform in terms of code reusability and modularity. This methodology offers substantive advantages over traditional process-design methods, which are often nonintegrated and require large quantities of iteration and long development times

    Predesign of a flexible multibody system excited by moving load using a mechatronic system approach

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    In this paper, a new analytical approach to object oriented modeling is presented for the predesign of a multibody system. We investigate the dynamic behavior of a system of interconnected components using the modeling language Modelica. In engineering, beam-masses are often used as design models. In fact, the considered system is composed of a flexible beam subjected to a moving load and supporting one or more translating elastic subsystems. Each subsystem is controlled by a vibration absorber and the structure is affected dynamically only through the moving character of the load. The problem of calculation of the dynamic response of this system is very important in many engineering applications such as in the predesign and analysis of a robotic portal systems, machine tools and bridge crane systems. The object oriented modeling approach will be presented to demonstrate the importance of this approach to parametric investigation. It will illustrate how subsystems from Modelica Standard Library can be connected to the developed structure in order to study the vibrational behavior of such a system. For validation purpose, results are compared with those reported in the literature

    A SysML based-methodology for modelling disturbances in manufacturing systems using ADACOR holonic control architecture

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    International audienceNowadays, industrials are looking for models and methods that are not only capable to support efficient production performances, but also reactive systems facing an increasing set of unpredicted events and perturbations. For this reason, manufacturing control systems must include mechanisms that cope with the complexity and unpredictability related with disturbances and perturbations that may appear in the system. In this paper we propose a methodology based on SysML language and holonic architecture “ADACOR” for modelling the sources of disturbance and its management in manufacturing systems. In the proposed methodology we show how we use SysML diagrams to estimate the future performances in a reactive mode and how to switch between the scheduling and control in the case of unpredictability. In order to validate the proposed methodology, a case study has been conducted on a welding cell. As a result, we noticed that the unpredictable events are controlled in such a way that we assure a continuous production
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