فهرست مطالب محسن فرهادی

Bioaerosols are airborne particles that include living organisms, such as bacteria and fungi, and their related metabolites, including endotoxins. This study aimed to investigate the exposure of individuals to bacterial bioaerosols in indoor air and explore the factors influencing their concentration.

This research was conducted across 11 wards of the Camp Collection to assess indoor air quality. A total of 224 samples were analyzed. The resulting bacterial colonies were counted, and bacterial density was expressed as colony-forming units per cubic meter (CFU/m³). The data obtained were analyzed using SPSS, ANOVA.

The mean bacterial concentration was 721 CFU/m³. The most prevalent bacteria identified in the air samples were Staphylococcus aureus and Staphylococcus epidermidis.

In some environments, the bioaerosol concentration in indoor air exceeded the World Health Organization (WHO) guidelines, posing health risks and increasing the likelihood of respiratory diseases. To mitigate these risks, it is recommended to control individual traffic, modify disinfectant types and application procedures on ward surfaces, and establish the standard and suitable ventilation systems.

Tetracycline represents the most prevalent antibiotic group in production and utilization and is extensively employed for the prophylaxis and treatment of infectious diseases in both human and veterinary medicine. The primary objective of this investigation was to assess the efficacy of electro-activated persulfate (EC/PS/HR) for eliminating tetracycline from aqueous solutions.

This study was conducted in a batch mode utilizing an electro-activated persulfate (EC/PS/HR) system. All experiments were carried out under constant temperature conditions. Response surface methodology (RSM) in conjunction with a central composite design (CCD) was employed to optimize the variables associated with the electro-activated persulfate and hydrogen peroxide process, including pH, current density, and the persulfate/hydrogen peroxide molar ratio, with the aim of tetracycline removal. Data analysis in this study was performed using Data Designer 8.0.6 software.

The results of this study revealed the use of a quadratic model to predict the impact of independent variables on the efficiency of tetracycline removal in the process. The exceedingly low (p <0.0001) and the high correlation coefficient (R2) of the obtained model signify a robust correlation between experimental and predicted data. The optimal conditions for achieving maximum efficiency in the degradation of tetracycline through electro-activated persulfate were determined to be a pH of 5.6, a persulfate/hydrogen peroxide molar ratio of 1.1, and a current density of 31 mA. Under these conditions, tetracycline degradation reached approximately 95.2%.

Based on the findings of this investigation, it can be deduced that the advanced oxidation process relying on electro-activated persulfate (EC/PS/HR) is capable of eliminating contaminants in aqueous environments, influenced by various factors such as hydrogen peroxide dosage, catalyst concentration (persulfate), and pH. The study highlights the capability of the electro-activated persulfate (EC/PS/HR) hybrid process to decompose recalcitrant pollutants like tetracycline from aqueous environments. Overall, the electro-activated persulfate process demonstrates promise for the degradation of tetracycline in aqueous solutions.

The results of research in the field of financing based on a behavioral approach suggest that investors may be irrational; As a result, investors' cognitive bias or psychological factors can influence their decisions. Thus, stock price volatility depends not only on the intrinsic value shown by accounting information, but also on the irrational behavior of investors, which can be measured by the investor's inclinations. Therefore, considering the importance of this field, the present study presents a model of investors' tendencies with emphasis on psychological factors with fuzzy Delphi and DEMATEL methods. This research is a data foundation research. Also, this research is a type of mixed research in which two approaches used in behavioral sciences, namely quantitative and qualitative, are used. The statistical population of this research is divided into two parts. The first part of the statistical population consists of financial and investment experts, which includes experts in this field, who are consulted to determine the dimensions, components and indicators, and the second part of the statistical population includes all university professors who have a doctorate in finance. And are investments. Using fuzzy Delphi method, the optimal criteria of investors 'tendencies with emphasis on psychological factors were extracted and the final model of the levels of optimal factors of investors' tendencies with emphasis on psychological factors was also drawn. Also, the effect and influence of factors on each other were evaluated using DEMATEL method.

Qualities and features of Classic Public Administration were using centralized power and authority to administrate society, but increasing problems and new challenges compel governments to change the way of governance and with internal administrative reforms go toward trust-based relationship with NGOs, private sector and citizen groups. This new policy necessitates a decentralized and network orientation, instead of governmentcentered strategy and administrative centralization. This article with an epistemological approach, narrate the change from government to governance and its new perspectives. The main purpose of article is to introduce metagovernance and its requirements to apply it in administrative reforms. The methodology used is meta-synthesis, through review scientific essays and reports in English periodicals and academic journals.

In this paper, Authors tried to explore and explain the development of the health system through the Advocacy Coalition framework as a framework for analyzing the process of change. The nature and objectives of the research required the use of a qualitative approach and two methods of library and interviewing. The snowball method has been used to select the interviewees and the thematic analysis method used to analyze the interview data. The results of semi-structured interviews with 12 experts represent the results of the study indicate the ability of the Advocacy Coalition framework to explain the policy change process of the health system. The four steps in formulating of Iran's Health system Reform plan are including: 1. National consensus; 2. Change in ruling coalition; 3. The emergence of opposition groups; 4. Selecting a strategy for confronting and implementing a policy.

Delirium is a clinical syndrome characterizedby acute changes in awareness and consciousness, and disturbances and fluctuations in attention. This study evaluated the frequency of postoperative delirium in patients undergoing general anesthesia for dental procedures and the relevant risk factors. Materials &

In this cross-sectional study, 103 patients who were candidates for dental procedures under general anesthesia in Isfahan Dental School were randomly selected. General anesthesia was induced with thiopental sodium-fentanyl-atracurium in all the patients and maintained with propofol. Dental anxiety was evaluated in all the patients using the DAS-R (Dental Anxiety Score-Revised) questionnairebefore the procedure. In addition, the MMSE (Mini Mental State Examination) questionnaire was completed 48 hours after the procedure. Statistical analysis was performed with SPSS 25, using independent t-test and regression analysis (α = 0.05).

The results showed that the incidence of delirium in 103 patients undergoing general anesthesia was22 cases (21.4%). The results of linear regression analysis indicated that age was an important and influential factor in the mental status, and orientation to place (p value = 0.002) and time (p value = 0.001) after general anesthesia. The severity of anxiety before anesthesia significantly affected the duration of general anesthesia (p value = 0.01) and orientation to place after general anesthesia (p value = 0.005). Anxiety itself was affected by the age of the patient (p value = 0.01).

Delirium is highly prevalent in patients undergoing general anesthesia for dental procedures. It is critical to identify the risk factors associated with this disorder in order to reduce the incidence of delirium.

In this paper, using a multi-factor model of Fama and French and Carhart, the Beta Reversal behavior through different levels of portfolio risk in Tehran Stock Exchange and Oversight Exchange is investigated. Beta Reversal is a phenomenon in which the beta behavior becomes different from its historical trend and turns to the opposite direction. Beta Reversal caused the instability of the capital asset pricing model in the market which leads to the inefficiency of the capital asset pricing model in performance evaluation. In order to measure the Beta Reversal in the market, Rolling beta, idiosyncratic volatility Risk and Fama and French model variables, as well as the momentum factor introduced by Carhart have been used. The study involved data from 60 companies operating in the Tehran Stock Exchange in the period from 2005 to 2014. In different circumstances of investigation, Beta Reversal has been studied by establishing 25 portfolios of stocks according to various measures. The results show that Beta Reversal occurs in high-risk stocks while it can be prevented by eliminating the high risk portfolios from market in Tehran Stock Exchange.

Today, meritocracy and the use of efficient human resources is one of the fundamental principles and success factors for organizations in moving toward dynamism and evolution. Defining and determining the exact capabilities and competencies of government administrators in different parts of the country is among the most important prerequisites to establish meritocracy in administrative system. Analysis of current situation indicates the existence of obstacles and challenges in establishing merit-based management system in the country rooted in the structure of rules and organizational culture. These challenges require a set of infrastructure, including institutionalization of merit-based culture, Reforming the educational infrastructure and the establishment of integrated learning systems, revision of rules, Regulations and organizational structure, standardization eligibility criteria and so on.

Dust storm is an atmospheric phenomenon having adverse effects on the environment. These storms can have detrimental effects on economy and health of societies and create climate changes. Understanding the nature, origin, and effects of dust storms is important in determining their appropriate mitigation measures. In this review article, factors causing the occurrence of dust storms and their effects on environment, health, and economy as well as methods for locating and controlling them are discussed. This review article was conducted on various aspects of dust storms through internet and library search. Key words like Dust storm, environmental impacts, health, Air Quality، the Middle Eastern Dust event، were used to search for articles and publications in various databases such as Science Direct, Google Scholar, Springer, Magiran, and Iran Medex between 2014 and 2000. Totally, 200 articles were collected, 69 of which were chosen based on their relevance. Dust particles ascend as high as 6 kilometers and spread to 6000 kilometer across the surface, which reduces the horizontal vision to 103 to 104 meters. Atmospheric dust blocks the sun light and can also cause respiratory diseases, including meningitis and Rift Valley fever and asthma and viral diseases, and damage to the DNA skin and lung cells are. Increased to 10 micrograms per cubic meter in the concentration of particles smaller than 10 microns (PM10) at the time the dust phenomenon, the mortality rate of 0. 5- 1 percent increase.