Bleeding in Patients with Atrial Fibrillation Plus Coronary Artery Disease under Triple anti-Coagulant Therapy

Introduction: Regarding scarce knowledge about bleeding in non-valvular atrial fibrillation (AF) patients with simultaneous coronary artery disease (CAD) under triple anti-coagulant therapy, this study was carried out to recognize the risk of hemorrhage and preventive programming. Materials and Methods: In this performed prospective, 150 consecutive patients with non-valvular atrial fibrillation and concurrent coronary disease, candidate for triple therapy with Asprin 80 mg, Clopidogrel 75 mg and Rivaroxaban 15 mg (in Shohada, Loghman, Modarres, and Labafinezhad centers, in Tehran, Iran during Jan 2019 to Jan 2020 were enrolled and the incidence rate of bleeding and compliance were evaluated for one month. Results: The results in this study demonstrated that 87.3% had compliance and completely use three drugs. Bleeding occurred in 0.6 % (4 patients), no major bleeding , only one minor bleeding as GIB, three minimal cases (totally 4 bleeding cases), 3 cases with epistaxis, 7 patients with ecchymosis, 6 subjects with hematuria, no one required discontinuation of drug. Diabetes mellitus, hypertension, female sex, older age, higher HASBLED Score, and higher CHADS-VASC Score were related to lack of compliance (P < 0.05). Conclusion: Incidence rate of bleeding in atrial fibrillation plus coronary concurrent patients, candidate for triple therapy with ASA, Clopidogrel and Rivaroxaban is low. Also the bleeding is minor and the compliance is high showing that majority of cases use routinely these triple therapy regimen

A Model for the Relationship between Work Attitudes and Beliefs of Knowledge Workers with Their Turnover Intention

Growing of science and technology and extending of knowledge-based organizations, the development and maintenance of high-performance knowledge workers with high-potential will be very critical institutionally and nationally. This study aimed to explore the predictability of knowledge workers’ intention to stay through their work attitudes and beliefs including believe in reliability of managers, job satisfaction and organizational commitment in the context of the academic community of Iran. Standard questionnaires were used to measure the variables. In order to gather data, stratified random sampling of faculty members in colleges and higher education institutions in South Khorasan, was accomplished. The results obtained in method of path analysis with AMOS software show that believe of knowledge workers in reliability of managers and organizational commitment can anticipate intend to stay. Among them, trust in management has the strongest indirect effect on the intention to stay. Also, job satisfaction through organizational commitment can predict the intention to stay of knowledge workers

FACTORS INFLUENCING THE DEVELOPMENT OF STRATEGIC LEADERSHIP IN IRAN'S CULTURAL ORGANIZATIONS WITH AN EMPHASIS ON NATIONAL MEDIA

Abstract. Problem statement. Along with the advent of strategic developments owing to the acceptance of the new communication and information technologies, changes in regulations of media field, formulation and implementation of policies of strategic leadership, merger of media organizations, change of organizational structure and variety in financial and human resources in media organizations have brought new concepts in the field of media leadership and also acceptance of major strategic changes in the media organizations of countries. Research Method: To this end, this research, with the aim of identifying the most effective factors in development of strategic leadership in Iran'smedia organizations, was conducted; which in terms of applied purpose and from the perspective of manner of implementation is a descriptive survey. The statistical population of the research is all experts (200 people) in the country's culture and media realm and the sample size, due to the limit of the population, based on Morgan's table is 132 people. In addition to library research, in order to collect data, a researcher-made questionnaire was developed and for the purpose of validity measurement tool Lawshe coefficient method was used; thus, content validity was confirmed. Questionnaire reliability too was acceptable by Cronbach's alpha 88%. In order to test the research hypotheses Structural Equation Modeling method was used for path analysis. Findings: The results of confirmatory factor analysis and model fitness test showed that indices of measurement models and general structural model areacceptable. Findings of the research, too, showed that governmental policies on the infrastructures and technology in the media organizations of the country (W3) with coefficient 72% has the most effect and strategic management in the media organizations of the country (W2) with the coefficient 45% has the least effect on strategic leadership in the country's media organizations. Conclusion: According to the results, it seems that in order to achieve maximum productivity, media organizations and in particular national media should employ appropriate mechanisms to take advantage of strategic leadership in terms of triple factors; Government policies on infrastructure and technology, strategic management, and the development or enhancement of cultural management to overcome the existingchallenges and barriers. To be able to keep pace with environmental changes move forward and fit any situation must put on the agenda.Keywords: strategic leadership, media organizations, governmental policies, strategic management, cultural management

Estimating compressive strength of concrete containing untreated coal waste aggregates using ultrasonic pulse velocity

In recent years, the overuse and exploitation of coal resources as fuel in industry has caused many environmental problems as well as changes in the ecosystem. One way to address this issue is to recycle these materials as an alternative to aggregates in concrete. Recently, non-destructive tests have also been considered by the researchers in this field. As there is limited work on the evaluation of the compressive strength of concrete containing coal waste using non-destructive tests, the current study aims to estimate the compressive strength of concrete containing untreated coal waste aggregates using the ultrasonic pulse velocity (UPV) technique as a non-destructive testing approach. For this purpose, various concrete parameters such as the compressive strength and UPV were investigated at different ages of concrete with different volume replacements of coarse and fine aggregates with coal waste. The test results indicate that 5% volume replacement of natural aggregates with untreated coal waste improves the average compressive strength and UPV of the concrete mixes by 6 and 1.2%, respectively. However, these parameters are significantly reduced by increasing the coal waste replacement level up to 25%. Furthermore, a general exponential relationship was established between the compressive strength and the UPV associated with the entire tested concrete specimens with different volume replacement levels of coal waste at different ages. The proposed relationship demonstrates a good correlation with the experimental results

An assessment of static recrystallization in L-605 Cobalt-based superalloy

In this research, the effect of cold rolling, annealing time and temperature on microstructure and hardness were studied in L-605 superalloy. A cast bar of L-605 alloy was hot rolled at 1200 ºC. As the following, it was solutionized at 1230 ºC for 1 hour and finally was cold rolled by different amounts (i.e. 5-35 percent thickness reduction). The cold-rolled samples were heat treated for different times (i.e. 2-120 min.) at temperature range of 1068-1230 ºC in order to study their recrystallization behavior. The results of microstructural analysis indicated that static recrystallization is responsible for microstructural refinement and coarsening, so that an increase in the amounts of cold rolling resulted in a fully recrystallized microstructure at lower temperature. This analysis also indicated that annealing temperature is more effective than annealing time in grain growth. Microstructural evaluation as well as showed that carbides such as M7C3 and M23C6 which have been reported in some literature were not observed during rolling or annealing in this research.  It is perhaps due to usage of high annealing temperatures  or possibly due to their very low contents which was not possible for us to evaluate their formation with conventional methods. Hardness results revealed that higher annealing temperature lead to lower hardness values as expected

Ethylbenzene Removal by Carbon Nanotubes from Aqueous Solution

The removal of ethylbenzene (E) from aqueous solution by multiwalled, single-walled, and hybrid carbon nanotubes (MWCNTs, SWCNTs, and HCNTs) was evaluated for a nanomaterial dose of 1 g/L, concentration of 10–100 mg/L, and pH 7. The equilibrium amount removed by SWCNTs (E: 9.98 mg/g) was higher than by MWCNTs and HCNTs. Ethylbenzene has a higher adsorption tendency on CNTs, so that more than 98% of it adsorbed in first 14 min, which is related to the low water solubility and the high molecular weight. The SWCNTs performed better for ethylbenzene sorption than the HCNTs and MWCNTs. Isotherms study indicates that the BET isotherm expression provides the best fit for ethylbenzene sorption by SWCNTs. Carbon nanotubes, specially SWCNTs, are efficient and rapid adsorbents for ethylbenzene which possess good potential applications to maintain high-quality water. Therefore, it could be used for cleaning up environmental pollution to prevent ethylbenzene borne diseases

Adaptive MIMO Fuzzy Compensate Fuzzy Sliding Mode Algorithm: Applied to Second Order Nonlinear System.

This research is focused on proposed adaptive fuzzy sliding mode algorithms with the adaptation laws derived in the Lyapunov sense. The stability of the closed-loop system is proved mathematically based on the Lyapunov method. Adaptive MIMO fuzzy compensate fuzzy sliding mode method design a MIMO fuzzy system to compensate for the model uncertainties of the system, and chattering also solved by linear saturation method. Since there is no tuning method to adjust the premise part of fuzzy rules so we presented a scheme to online tune consequence part of fuzzy rules. Classical sliding mode control is robust to control model uncertainties and external disturbances. A sliding mode method with a switching control low guarantees the stability of the certain and/or uncertain system, but the addition of the switching control low introduces chattering into the system. One way to reduce or eliminate chattering is to insert a boundary layer method inside of a boundary layer around the sliding surface. Classical sliding mode control method has difficulty in handling unstructured model uncertainties. One can overcome this problem by combining a sliding mode controller and artificial intelligence (e.g. fuzzy logic). To approximate a timevarying nonlinear dynamic system, a fuzzy system requires a large amount of fuzzy rule base. This large number of fuzzy rules will cause a high computation load. The addition of an adaptive law to a fuzzy sliding mode controller to online tune the parameters of the fuzzy rules in use will ensure a moderate computational load. The adaptive laws in this algorithm are designed based on the Lyapunov stability theorem. Asymptotic stability of the closed loop system is also proved in the sense of Lyapunov

Optimal Energy Scheduling in Smart Buildings with Electric Vehicle and Demand Response

In a number of countries, smart microgrid (SMG) technology is being exploited in the energy system infrastructure along with other generators such as electric and storage systems. In the framework of SMGs, communication links between generation and demand sides have been established to optimise energy consumption by means of economic signals. The framework of energy management for Smart Home appliances is presented in the present paper, taking account of appliance and electric vehicle participation. The approach to the energy schduling at day-ahead is defined as three strategies, such as optimum use of existing appliances, optimal production of electricity resources and optimal discharge and charging for electrical vehicles. Reducing energy generation costs and minimizing emissions of air pollutants are key objectives. Two case studies with the aim of reducing costs and emissions while maximizing system flexibility are taken into account to demonstrate preference and viability of home energy scheduling