Methicillin-resistant Staphylococcus aureus (MRSA) is connected to high rates of morbidity and challenging-to-treat infections. S. aureus bacteremia, which has high rates of morbidity, mortality and can lead to severe infections such as infective endocarditis or sepsis, as well as metastatic infections. The majority of S. aureus bacteremia cases worldwide are caused by MRSA, which has worse clinical outcomes than methicillin-sensitive S. aureus. Infections caused by the nosocomial pathogen Methicillin Resistant S. aureus (MRSA) at the hospital as well as in the community are considered a serious global threat. Despite having a wide range of genetic variations, the epidemiology of MRSA is principally characterized by the recurrent appearance of epidemic strains. MRSA continues to be a serious clinical hazard despite recent decreases in occurrence in some areas, and its morbidity and death rates are consistently high. The evaluation of both novel antibiotics and ancillary parts of care, such as infectious disease consultation, echocardiography, and source control, is necessary for successful therapy, which is still difficult to achieve. Leukocyte lysis and tissue necrosis are caused by the virulence factor Panton-Valentine leukocidin (PVL), which is secreted by some strains. Skin and soft tissue infections (SSTIs) are the most common illnesses caused by PVL-associated S. aureus (PVL-SA), although it can also cause invasive infections such as necrotizing pneumonia. Community-associated methicillin-susceptible S. aureus (CA-MSSA) and methicillinresistant S. aureus both carry it (CA-MRSA). MRSA strains are endemic in many parts of Saudi Arabia and it accounts for 23-54% of all clinical isolates. Significantly, 54.2% of Panton-Valentine leukocidin (PVL) genes were found in MRSA strains inside the kingdom. Vancomycin is a drug of choice to treat MRSA infections. The patients admitted to Prince, Mutib, hospital from March 2019 to May 2020 were screened for the prevalence of MRSA. Compact Vitek -2 (biomeriux Leon, France) was used for the identification and antimicrobial sensitivity (AST) test. A total of 64/978 (6.5%) MRSA and 25/978 (2.5%) CoNS were isolated from urine, blood, sputum, nasal swab, throat swab, tracheal swabs, and pleural fluid. Cephamycins were found 100% resistant to vancomycin-resistant MRSA were found in our study..
In this study, two-dimensional model was developed for a single proton exchange membrane (PEM) fuel cell. The model was used for a complete cell which includes the cathode gas diffusion layer (GDL), anode gas diffusion layer and membrane. This model Consists of mass transfer in the GDLs, electrochemistry reaction in catalyst layers, charge transfer and energy transport in all parts of the fuel cell. The spherical agglomerate approach was used to describe cathode catalyst layer. The governing equations were solved by finite element method. The mathematical model can predict the PEM fuel cell behavior in different conditions and configurations which is the advantage of this model. The Results show performance of fuel cell in interdigitated and parallel flow fields, in which best conditions and configurations were determined. In this work, better performance of fuel cell with interdigitated flow field was observed in comparison with in parallel flow field.
Anomaly detection refers to the problem of finding patterns in data that do not conform to expected behavior. Development of advanced anomaly detection and failure diagnosis technologies for satellite launch vehicle (SLV) is a quite significant issue in the aerospace industry, because the space environment is harsh, distant and uncertain. Current SLV health monitoring and fault diagnosis practices involve around-the-clock limit-checking or simple trend analysis using text or graphical displays on large amount of telemetry data. This procedure, which requires large numbers of human experts, is of course cumbersome and time-consuming. Furthermore, humans are not always able to recognize anomalous situations. In this paper, a novel knowledge-free anomaly detection method is proposed and developed for SLV based on three algorithms, K-NN, CART, and FCM, which constructs a system behavior model from the past normal telemetry data and monitors the current system status by checking incoming data with the model.
Motivation, reinforcement, transference, retention, … are elements of learning that must be addressed to ensure participants learn actively . Learning a subject seems to involve three almost simultaneous processes. Acquisition, Transformation and evaluation. Learning involves understanding and then application by the learners. Teaching may best be defined as the organization of learning. This action research aims to make learners are more likely to enjoy the subject, and to succeed at it if they are engaged in the learning process. An educational activity is to make changes in the learners, changes which happen as the result of learning. Teaching may be thought of as the establishment of a situation in which it is hoped effective learning will take place. The present study describes the effect of brainstorming on effective learning. Active learners are more likely to enjoy the subject.
ABSTRACT \n This article is prepared to formulate suitable strategies for Iran religious tourism in a three phase framework consisting of input, matching and decision levels. Provided instruments and techniques in this framework are suitable for different levels of strategic planning (e.g. local, urban, regional, and so on). Also this research is of applied type in target and its statistical population consists of all technical managers of tourism agencies in the country and data is gathered by designing and administration of questionnaire. In order to determine sample size Morgan Table was used and the result was 278 sample size chosen via random method among randomly selected tour leaders. Surveys show that religious tourism is one of the most powerful forms of tourism in this country and can be the first choice for domestic and foreign tourists. Results show that for development of this industry, growing or building strategies are the first priority; in addition, considering lots of strengths of the industry, Strengths_ Threats (ST) and Weaknesses_ Opportunities (WO) strategies can be applied too. Determining and prioritization of Iran religious tourism strategies are some practical results of this article.
SO2 emissions from different industrial activities including production of electricity from power plants as well as, metallurgical and cement factories, to name a few, are undesired due to this chemical’s harmful effects. Many processes to reduce sulfur dioxide emissions have been developed. Amongst these processes, direct dry sorbent injection is a relatively simple and low-cost process. In the current study, a two dimensional CFD investigation of the Direct Sulfation Process is presented. This model accounted for the process taking place in a fixed bed reactor. Effects of important operating parameters including the temperature, concentration and pressure were studied in this work. It was shown that these variables significantly affected this process. In other words, direct sulfation was shown to be controlled by both the chemical reaction as well as, diffusion phenomena. The diffusivity in the product layer demonstrated to be highly depended upon temperature while no such dependence on the sulfation degree was determined.
A special purpose sensor network designed to operate autonomously to connect varies medical sensors placed on the human body.\nIntroduction of effective medical monitoring & other applications will offer flexibilities and cost saving options to both health care professionals and\npatients. In this system, we effectively monitors the patients physiological status such as ECG, Temperature, systole, diastole, Heartbeat, flex,\nAccelerometer and successfully processed in the transmitter kit, which is attached in the patients body.In this system, describes how effective\ntransmission of data from the transmitter kit to the receiver which is located in the hospital server.In addition to that we are tracking the patient’s\nlocation continuously and make emergency rescue operation.
