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The present study is descriptive research in terms of purpose, descriptive analysis in terms of nature and cross-sectional research in terms of time. The study’s statistical population includes all employees and managers of the China City Organization selected as sample members using random sampling method and Krejcie table of 242 people. The questionnaire was modified and revised based on the goals, tasks and mission of the target organization to collect information. In data analysis, due to the normality of data distribution, the structural equation modeling method is used to evaluate the causal model, reliability and validity of the measurement model. Evaluation and validation of the model are done through the structural equation model. Questionnaire-based model and data are analyzed using Smart PLS 3.0. The main purpose of this study is to assess the feasibility of implementing the human resource payroll management system based on cloud computing technology.

New technologies require innovative approaches for creating valuable opportunities in an organization to integrate the physical flows of goods and services and financial information. Today, cloud computing is an emerging mechanism for high-level computing as a storage system. It is used to connect to network hosts, infrastructure and applications and provide reliable services. Due to advances in this field, cloud computing is used to perform operations related to human resources. The role, importance and application of cloud computing in human resource management, such as reducing the cost of hardware and information software in hiring, job planning, employee selection, employee socialization, payroll, employee performance appraisal, rewards, etc., is raised. This way, human resource management teams can easily view resumes, sort candidates and observe and analyze their performance. Cloud computing is effective in implementing human resource payroll management systems. Therefore, the primary purpose of this study is to assess the feasibility of implementing the human resource payroll management system based on cloud computing technology.

Testing the research hypotheses shows that the dimension desirability of ability and acceptance is provided in dimensions related to the minimum conditions required to implement cloud computing technology in the organization. For this reason, the feasibility of implementing the systems based on cloud computing in companies must be considered.

This study also has some limitations that need to be considered in evaluating the results. The study is limited to one region. It cannot be assured that the factors examined in other areas are effective. The research design for this study is a cross-sectional study. It represents the static relationship between the variables. Since cross-sectional data from variable relationships are taken at a single point in time, they are collected in other periods. As a proposal, future researchers intend to investigate the impact of Enterprise Resource Planning (ERP) systems based on cloud computing.

The research also includes companies, departments and individuals associated with systems based on cloud computing.

In this paper, the feasibility of implementing the human resource payroll management system based on cloud computing is pointed out, and the approach to resolve the problem is applied to a practical example. The presented model in this article provides a complete framework to investigate the feasibility of implementing the human resource payroll management system based on cloud computing.

Herbal medicine has been used for the management of complications of diabetes. The purpose of this paper is to examine the anti-diabetic effects of Achillea millefolium extract on diabetic rats.

To this aim, 32 male Wistar rats were randomly assigned into four groups in which each group comprised eight rats. The four experimental groups were as follows: control group, diabetic control (DC) group (STZ; 50 mg/kg), diabetic rats, receiving 250 mg/kg hydro-alcoholic extract of the A. millefolium (DAM) and diabetic rats, receiving 5 mg/kg glibenclamide (DG). After 21 days of the treatment course, tissues of the kidney and blood samples were collected for histopathological, biochemical and molecular analysis.

The concentration of malondialdehyde (MDA) and glucose serum were markedly reduced in the DC group while significantly increased in DG and DAM groups (1.11 ± 0.57 to 19.4 ± 3.5 and 17.8 ± 1.2 p = 0.002 and 325 ± 0.18 to 223 ± 0.11 and 211 ± 0.32 p = 0.02, respectively). Also, the activities of glutathione peroxidase (GPx) and superoxide dismutase (SOD) were markedly reduced in the DC group while significantly increased in DAM and DG groups (9.1 ± 2.21 to 18.7 ± 3.81 and 14.9 ± 3.1 p = 0.03 and p = 0.02, respectively). The concentrations of creatinine, blood urea nitrogen (BUN) and urea were substantially decreased in DAM and DG groups as compared with the DC group (0.49 ± 0.02 to 0.27 ± 0.01 and 0.25 ± 0.01 p = 0.01, 15.6 ± 2.1 to 7.2 ± 0.68 and 8.6 ± 1.2 p = 0.02 and 114 ± 9.4 to 59.8 ± 5.2 and 64 ± 5.2 p = 0.03, respectively). Also, Bcl-2-associated X protein (BAX) expression was significantly decreased in DAM and DG groups as compared with the DC group (1.3 ± 0.32 to 0.91 ± 0.03 and 0.93 ± 0.02 p = <0.01) and Bcl-2 expression were significantly increased in DAM and DG groups as compared with the DC group (0.42 ± 0.05 to 0.88 ± 0.07 and 0.85 ± 0.06 p = 0.01).

Diabetes led to degenerative damages in the kidney of rats and increased the mRNA level of Bax, while treatment with A. millefolium could protect the kidney tissue against diabetes complications and increased the mRNA expression of Bcl-2. This study indicated that A. millefolium extracts not only improves renal function as a result of anti-oxidant activity but also modulates some biochemical factors in diabetic rats.