Purpose: Food security is a critical global challenge that is influenced by research and innovation in the field. Therefore, the objective of this study is to analyze the scientific output of developing countries in food security and examine its relationship with patents and Gross Domestic Product (GDP).Methodology: This applied research utilized the Scientometric approach. A total of 8,416 papers published between 1992-2023 in the field of food security by developing countries were included in the study using citation databases from Clarivate Analytics. Additionally, patent registrations from the WIPO database and GDP data from the World Bank were analyzed. Information was collected through note-taking, and the data was analyzed using Pearson's correlation coefficient.Findings: The findings reveal an upward trend in the publication and citation of scientific outputs related to food security in developing countries. China has higher numbers of papers, patents, GDP, and food production index compared to Iran, Japan, and South Korea. There is also a positive correlation observed between population and the number of papers, gross production and the number of papers, food production and the number of published papers, as well as the number of patents and papers citing scientific outputs of countries.Conclusion: These results highlight the significant relationship between increasing scientific output, GDP, the number of patents, and food security. Greater emphasis on food security contributes to enhanced scientific output, GDP, and innovation. Similarly, increasing scientific output, GDP, and innovation positively impact food security in countries.Value: This study emphasizes the importance of scientific outputs in driving technological advancements, innovations, and ultimately, ensuring food security in developing countries.

Introduction: The ethical dimensions of agriculture need to be explored, distinguishing between ethics in agriculture and ethics of agriculture. Ethics in agriculture is traditionally based on abstract moral theory, formulated through logical reasoning, but often found inadequate to address the complex ethical challenges within agriculture due to its abstract nature and lack of practical visibility. Conversely, ethics of agriculture is approached within a context-specific framework derived from the research topic with the aim of providing more tailored solutions. Materials and Methods: A comprehensive review of the relevant literature is conducted, using a descriptive-analytical approach to provide a conceptual framework for understanding agricultural ethics. Conclusion: The article highlights the critical need for a comprehensive ethical framework to address the multifaceted ethical challenges in the agricultural sector. The importance of analyzing and resolving ethical dilemmas at all stages of agriculture is underscored in order to align practices with human ideals and to ensure ethical decision-making by stakeholders involved in agriculture.

The main purpose of this article is study of short and long-run relationship between measures of financial development and growth of agricultural sector, applying vector error-correction model to 1962-2004 data. Agricultural bank credit, credit of other banks and money stock minus currency to GDP were used to measure agricultural financial development. Results showed that there is a long-run bi-directional causality relationship between financial development and agricultural growth and agricultural growth caused financial development in short-run. Agricultural bank credit cannot cause fixed capital formation in agriculture in short and long-run. Therefore, allocation of credit needs some reforms for increasing of capital formation in agriculture.

In light of the increasing importance of science and technology in agricultural development, this article focuses on the role of extension in disseminating innovative techniques and knowledge in Iran(s) agricultural sector. By constructing a conceptual framework following a review of the literature, it examines Iran(s) agricultural development as a function of the performance of the agricultural system and its internal elements including extension. The article utilizes a number of statistical methods to reach the following conclusions: Agricultural development is a function of a host of factors, among which agricultural extension is one of the most important. Agricultural extension influences agricultural development by enhancing the farmer(s) knowledge and skills. However, the extent of this influence depends on a few other factors that are referred to as control factors in this article. These include intra-sectoral factors of extension and the agricultural system as well as factors stemming form the natural and social environment. It is necessary to consider these factors in programs focusing on agricultural extension and agricultural development.

This study was conducted during summer and winter of 2018- 2019 in the agricultural research field of Shahid Chamran University. Experimental design was split- plot based on RCBD with three replications. The main plot was the type of agricultural system in three levels including conventional (Conv), organic (Org) and sustainable (Sust) (integrated between Conv and Org) and sup- plot was the type of pre- cultivated crop in sequence with wheat including cultivation of mung bean (M- W), corn (C- W), sesame (S- W) and fallow (F- W). Yield quantity (yield and its component) and quality (grain protein), an estimate of photosynthesis matter transfer index of wheat and soil organic carbon (SOC) after one double-cropping were measured. The result showed that the highest (545.04 g/m2) and the lowest (409.28 g/m2) seed yields were obtained in Conv and Org respectively. In contract, with the changing type of system from Conv to Org, grain protein was increased significantly (from 8.3 to 9.6 %). In addition, the highest (535.47 g/m2) yield of wheat was obtained from M- W double cropping. On the other hands the highest remobilization and current photosynthesis matter were obtained in the organic agricultural system with M- W and conventional with M- W double cropping. The situation of SOC showed that the highest (33.18 mg/g) SOC was obtained in the organic agricultural system with C- W double cropping. The reason for improving SOC in the organic and sustainable agricultural system was application of organic matter (compost and vermicompost) and crop residue management. Totally, from the crop ecology point of view, sustainable agricultural method with a sequence of M- W was the most desirable system.

Purpose: The purpose of this applied research is to study the effectiveness of gamification on corporate training.  Methodology: A gamified course was designed and implemented to train the location of Fire Hosing Cabinet for 24 employees of a firefighting maintenance company in Iran Mall shopping Center in Tehran. Using a quantitative quasi-experimental research plan (post-test only control group design) the participants of the study were randomly assigned to treatment (12) and control (12) groups and trained for a week.  Conclusion: The descriptive and interpretive result of the posttest analyses indicated the effectiveness of gamification of the training performed for the employees of the firefighting maintenance company in Iran Mall shopping Center in Tehran. Moreover, the descriptive result of Gamification Acceptance Questionnaire answered by the members of the experimental group after gamified training indicated that all the participants in the experimental group were satisfied with the gamified training course.

This study aimed at identifying and analyzing issues and challenges on the agricultural research and technology development under the national innovation framework. The survey consisted of two groups: agricultural researchers of Agriculture-Research and Education Organization and all faculty members of public agricultural faculties of Ministry of Scientific, Research and Technology. Using Cochran sampling formula and multi-stage sampling method, 188 researchers and 205 faculty members were selected in order to fill in the survey questionnaire. Using the SPSS, collected data analyzed based on explanatory factor analysis. Totally, factor analysis of three sets of issues and challenges on the agricultural research and technology development under the national innovation framework led to extract 13 factors, including agricultural structure and policy, infrastructure and resources of agricultural development, supportive services for agricultural development (level of agricultural development), investment and capacity building in research and technology, management of research and technology development, research and technology productivity, research culture, networks for research and technology development (level of national innovation system), agricultural research policy, impacts and effectiveness of agricultural research and technology development, integrated management of research and technology, institutional development for agricultural research and technology and systematic synergy of agricultural research and higher education (level of agricultural innovation system). Totally, these three sets of factors explained 64%, 75% and 73% of the total variances. Finally, using conceptual clustering for the extracted factors, a conceptual model of issues and challenges of agricultural research and technology development under the national innovation framework was presented.