نتایج جستجو برای: comprehensive action determination model
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abstract nowadays, industries cannot play a crucial role in national and international competitions. the tourism industry is no exception. tourism industry development as the most important economic sector and income generation is one of the key challenges of economic development in the world. therefore, countries were successful that take advantage of the capabilities of tourism sector using ...
Nucleotide pools in mammalian cells change due to the influence of antitumor drugs, which may help in evaluating the drug effect and understanding the mechanism of drug action. In this study, an ion-pair RP-HPLC method was used for a simple, sensitive and simultaneous determination of the levels of 12 nucleotides in mammalian cells treated with antibiotic antitumor drugs (daunorubicin, epirubic...
Introduction: Hidden curriculum plays a main role in professionallearning, formation of professional identity, socialization,moral development and learning values, attitudes, beliefs, andknowledge in learners, so it needs to be managed. Althoughthe majority of the theorists believe in the existence of a hiddencurriculum and its greater effect and sustainability com...
The aim of this study is to present a comprehensive human resources model based on ISO34000 standard at Khorasan Razavi Electricity Distribution Company. This study is mixed, sequential exploratory, and applied. The qualitative population was the experienced and scientific experts. The quantitative population was 153 managers, deputies and experts responsible for the electricity company selecte...
Fungus Candida albicans has received much attention due to its oral, vaginal and/or systemic candidiasis. This study was undertaken to find out the optimum antifungal effect of concentration of two essential oils namely Thymus daenensis Celak. and Zataria multifera Boiss. either alone or in combination ratio and their time of action against C. albicans. The essential oils (EOs) were obtained by ...
The paper describes a method for learning representations of partially observable Markov decision processes in the form of temporal probabilistic networks, which can subsequently be used by robotic agents for action planning and policy determination. A solution is provided to the problem of enforcing stationarity of the learned Markov model. Several preliminary experiments are described that co...
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