فهرست مطالب mohammadmahdi hosseini

Dermatophytosis is a significant skin disease in humans and animals, with increasing resistance to conventional treatments. This study aimed to determine the antifungal activity of petroleum ether, dichloromethane, ethyl acetate, ethanol, and hydroethanol extracts from the aerial parts of Artemisia khorassanica, Artemisia scoparia, and Artemisia vulgaris against common dermatophytic fungi, including Trichophyton rubrum, Trichophyton verrucosum, Epidermophyton floccosum, and Microsporum canis.

This descriptive study examined the antifungal activity of various extracts from the aerial parts of Artemisia khorassanica, Artemisia scoparia, and Artemisia vulgaris against fungal isolates of Trichophyton rubrum, Trichophyton verrucosum, Microsporum canis, and Epidermophyton floccosum. The aerial parts of the three Artemisia species were extracted using five solvents: petroleum ether, dichloromethane, ethyl acetate, ethanol, and 50% hydroethanol. The extracts were screened for antidermatophytic effects against the fungi mentioned above, and the minimum inhibitory concentration (MIC) was determined using the agar dilution method. The most active extracts underwent preliminary phytochemical testing.

In the initial screening, Microsporum canis and Trichophyton verrucosum showed the highest sensitivity (86.66%) and resistance (100%) to the tested extracts, respectively. Extracts from Artemisia scoparia exhibited the broadest range of activity. The most effective extracts, with an MIC of 78.12 µg/ml, were also from this plant. Hydroethanol extracts from all plant species demonstrated the least antidermatophytic activity. Preliminary phytochemical studies revealed the presence of terpenoids in all petroleum ether and dichloromethane extracts of the plant species.

Some lipophilic compounds, particularly in the petroleum ether and dichloromethane extracts of Artemisia scoparia, exhibit significant in vitro antidermatophytic activity.

In the current study, the place of artificial intelligence in foreign policy strategy, the amount of investment and use of artificial intelligence in the field of international relations and future wars of the United States of America were analyzed in the framework of game theory. The type of research is theoretical-applied. The statistical community of professors and experts who are active in the field of artificial intelligence and American studies with specialized doctorate and postdoctoral degrees; They were selected by snowball sampling. In addition to referring to existing books and documents, the tool for data collection was using a closed questionnaire on a Likert scale.The data was analyzed in spss software.The obtained results show that the United States, seeking to improve its economic situation, has considered one of the main goals of artificial intelligence development. On the other hand, the improvement of scientific and research capacities as well as the improvement and development of technical and data infrastructures have also been considered.Overall, all US strategies in artificial intelligence have seven themes:Financing of research and development, regulation and regulation and development of standards, culture building, training, consulting services, networking, support for cooperation and ecosystem and stimulation of market demand.

In all human behavioral spectrums, Politics is the most difficult behavior that can be automated. Politics is inherently complex, reflecting the complexity of human behavior both as an individual and in the social dimension. This complexity seems much more real at the level of international relations. Artificial intelligence is an influential and pervasive field that scope is not only related to technical and engineering issues, but also includes the fields of humanities, especially international peace and security. Using game theory as part of artificial intelligence in the field of political science and international relations is concentrated in common areas such as equitable distribution, political economy, public choice, war bargaining, positive policy theory, and public choice theory. In each of these areas, researchers have developed game theory models in which player models are often represented in the form of voters, governments, special interest groups, and politicians. Therefore, in this research the role of game theory in international relations will be investigated.

Plastic viscosity (PV), yield point (YP), fluid loss volume, thickening time, and compressive strength of cement are the main parameters that are necessary for a successful operation. In this study, 25 tests were done to design different slurries and find the effect of various additives, including extenders (bentonite and sodium silicate), accelerators (calcium chloride and sodium chloride), retarders (calcium lignosulfonate and CMHEC), and fluid loss controller (FLC). Calcium chloride provides acceptable results up to 6% by the weight of cement. For more than 6%, it provides unpredictable results. The sodium chloride in high concentrations (30%) acts as a retarder. Calcium lignosulfonate slows down thickening timeless than CMHEC, while CMHEC can retard the slurry more and increase the closing time. The ratio of the increase in slurry setting time to the increase in calcium lignosulfonate is almost linear while for CMHEC this is not the case and this increase increases nonlinearly. addition of FLC on cement water causes water to be retained in the slurry system and this causes the increase of this additive in the slurry to increase the setting time of cement and reduce its short-term strength (24 hours).

The purpose of this research is the place of new technologies and artificial intelligence in the expansion of diplomatic relations and sustainable foreign policy. This research is applied based on its purpose and qualitative-quantitative in terms of its implementation method. Both library sources and interviews have been used to collect information. The statistical population of all professors and experts who had specialized doctorates in the field of new technologies and artificial intelligence were selected. In this research, the sampling method was done purposefully. That is, samples contain rich information. 15 university professors and experts in this field were subjected to in-depth and exploratory interviews. Also, in order to collect data in the qualitative part, all available internal and external documents related to the research topic were studied and semi-structured interviews were used. Therefore, this research, relying on the combined method, tries to answer the question, what is the place of technology development policies in the expansion of diplomatic relations and foreign policy? And how can this superior technology be used to strengthen the political foundations of the system and diplomatic relations? The findings of the research indicate that the large investment of developed countries in the field of these technologies has resulted in achieving a competitive advantage in the field of diplomatic relations and stable foreign policy. Therefore, paying attention to these technologies will greatly help the superior power of the Islamic Republic of Iran in the region and the world,

Heavy oil is one of the oil resource types, which due to its high density and viscosity, can only be economically produced using complex technologies. In Iran, there are significant quantities of heavy oil resources. Kuh-e-Mond is one of the largest heavy oil fields in the country. In this paper, using a stepwise algorithm and combining techno-economical modeling with the help of Eclipse simulator and MATLAB programming language, the most optimal scenario of production was determined. The step-by-step algorithm includes screening, model validation, and finally, production optimization. The objective function is the net present value, which is achieved by changing the optimization parameters during different stages of try and error with the help of simulated annealing optimizer. The output of the screening stage for the Kuh-e-Mond field is the periodic injection process, which is also economically the lowest cost among other thermal methods and uses only one well for production and injection. In the validation phase of the model, an Argentinian (Yakimento) oilfield dataset similar to Kuh-e-Mond oilfield were used and a valid model was obtained. In the final phase, optimization, which is in fact the main bottleneck of production projects, was implemented and showed a significant impact on increasing the profit from the periodic injection model in Kuh-e-Mond field. A 2.5 times increase in the operating parameters of the single well model compared to the initial try is claimed. Also, upgrading single-well to multi-well model, 1.3-fold of increase in the profitability of multi-well model was observed.

Evaluation plays an important role in the interactive question answering (IQA) systems. In the context of evaluating IQA systems, there is partially no specific methodology for evaluating these systems in general. The main problem with designing an assessment method for IQA systems lies, in fact, that is rarely possible to predict interaction part. To this end, human needs to be involved in the evaluation process. In this paper, an appropriate model is presented by introducing a set of built in features for evaluating IQA systems. To conduct the evaluation process, four IQA systems were considered and based on the conversation was exchanged between users and systems, the number 540 samples were considered as suitable data to create a test and training set. After performing the preprocessing on the conversation, the statistical characteristics of the conversation extracted and base on that characteristics matrix was formed. Finally, using linear and nonlinear regression, the human thinking was predicted that the nonlinear power regression with 0.15 MSE was the best model.

Controlled delivery is a new method to discover drug smugglers origin and destinations. Practicing this method can help to provide necessary evidences and to capture all drug belongs including: producers, distributors etc. Controlled delivery first appeared in article 11 of Genève convention in 1997 although some countries had made already bilateral agreements to practice this method among them. To perform this method there will be many juridical and legal obstacles. For example in the realm of law impossibility of attributing the crime to offenders, possibility of consulting to police staff and disregarding innocence presumption are very important issues. In addition, performing this method may accelerate bribery and money laundering grounds. In juridical context, although there are some main problems in this respect but some juridical principles like "No Harm", "Public Beneficiary" and "Doing Based on Public Traditions" support this method.