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.

Background: Measurement of GROSS a, GROSS b activities, and cosmogenic beryllium-7 (7Be) concentrations were made both daily and weekly during the years 2001- 2004 from samples of atmospheric aerosols filtered from the air at Tehran Nuclear Research Center (35o41' N) and Zahedan (28o29' N). Materials and Methods: Weekly aerosol samples were collected with the high-volume air samplers on cellulose filters to determine the 7Be contents of samples, using a semiconductor gamma spectrometer. Airborne dust samples were collected on daily basis on fiber glass filters and used to determine the GROSS a and GROSS a activities with automatic beta analyzer and a ZnS (Ag) counter, respectively. In this study, the concentration and meteorological data were used to determine MODELs for GROSS a, GROSS b and 7Be. Results: The air concentrations of GROSS b and GROSS a activities and 7Be concentrations displayed lognormal distributions during the study period. Both b and 7Be had maximum activity concentrations during warm mid-year months. Conclusion: The MODELs can be used to estimate the part of the trend in GROSS b and in 7Be levels that can be accounted for by-trends in local meteorology. There has been a satisfactory agreement between the results of the MODEL and the measurements.

Objective: The purpose of this study was effectiveness of GROSS emotion regulation MODEL on emotional distress and emotional eating behavior on overweight female students of Islamic Azad University of Karaj.Method: undergraduate female students of Islamic Azad University In 1395, considering the inclusion criteria, 40 patients were enrolled and randomly assigned to experimental and control groups. In order to determine the level of emotional distress Difficulties in Emotion Regulation Scale (DERS) With an overall scale and its six subscales were used. Then GROSS emotion regulation MODEL, during the eight sessions of 90 minutes was applied to the experimental group. Data from pre-test and post-test experimental and control groups, were analyzed at a significance level 0.05.Results: Analysis of covariance showed GROSS emotion regulation MODEL on emotional distress and its six subscales and emotional eating behavior of overeating female students of Islamic Azad University of Karaj is effective. The difference between the two groups at post-test, a statistically significant difference. p<0.005.Conclusion: after Intervention program, a significant reduction in emotional distress and eating behavior due to emotion regulation in the experimental group than the control group were observed. These findings suggest that the way in which emotions are set on eating behavior by reducing emotional distress is effective.

Potential Production and It's deviation from actual production is one of important and interesting discussion in macroeconomics. Being aware of the size of potential production and the gaps of actual GROSS domestic product (GDP) is much important in Orienting monetary and fiscal policies and controlling inflation and unemployment rate.This paper has calculated the gap of actual GDP of Iran for the period of 1338-1383 through two methods. In first method a state- space MODEL and kalman filter approach and in second method Hodrik Prescott MODEL has been used. The results show that the estimates of state - space MODEL for actual GDP gap is more compatible with recession and prosperity of Iraninan Economy and it can account for better the growths during 1338- 1353.More over, the state- space GDP gap has lower range of fluctuations than GDP gap of HP method. The reason is the power of state- space MODEL for explaining the process of random walk with drift that exist in GDP of Iran. Finally in both methods of range of fluctuations have reduced in recent years and this can be found as a measure for increase in economic stability of the country.

Different ossificant materials have been used used for induction of bone repair in many studies, and bone matrix gelatin which contains bone morphogenic proteins one of the best ones.In present study we evaluated the role of this mat erial in acceleration of bone repair in rabbit tibia.A hole of 305mm diameter was made on right tibia of 10 and 12 rabbits as study and control group respectively, In the experiment group, in addittion to Bone Wax, we applied bone matrix glatin in the hole. Radiographic images were taken in days 0, 20, 40 and 53 after operation In 6 rabbits of each group, photographic pictures were also taken after exposure of entire bone. In 6 controls less degree of restoration were seen on day 53. In 4 experimental animals restoration were completed by this time and in 2 speciments repair processing were better then controls. This results shows that bone matrix gelatin can be used as an acclerator of bone repair.

Agriculture as one of the major economic sectors of Iran, has an important role in GROSS Domestic Production by providing about 14% of GDP. This study attempts to forecast the value of the agriculture GDP using Periodic Autoregressive MODEL (PAR), as the new seasonal time series techniques. To address this aim, the quarterly data were collected from March 1988 to July 1989. The collected data was firstly analyzed using periodic unit root test Franses & Paap (2004). The analysis found non-periodic unit root in the seasonal data. Second, periodic seasonal behavior (Boswijk & Franses, 1996) was examined. The results showed that periodic autoregressive MODEL fits agriculture GDP well. This makes an accurate forecast of agriculture GDP possible. Using the estimated MODEL, the future value of quarter agricultural GDP from March 2011 to July 2012 was forecasted. With consideration to the fair fit of this MODEL with agricultural GDP, It is recommended to use periodic autoregressive MODEL for the future studies.