Nowadays, unique identifiers are used to authenticate individuals. These identifiers are called biometrics with iris being one of the most popular ones. Research performed in this paper consist of designing a new identification system based on improved security in iris Database. In this paper, we propose an iris template protection method based on Visual Cryptography (VC) and RSA. For iris template protection, the binary iris template is divided into two shares using VC, where one share is stored in the Database and the other is kept with the user on a smart card. In order to provide additional security, the share that is stored in the Database is encrypted with RSA encryption. In the next step the patterns obtained from each image are compared with the patterns in the Database and, by defining a threshold, the identification procedure is carried out. In this paper, the CASIA-v1 image bank has been used. The EER value after encryption is approximately 0. 01. We then expose the system to different noises such as salt and pepper, white Gaussian noise and mean filt. r. After applying the noises, we haveit is observed that the system has shows been better performance compared to the than other systems which we have investigated.

Background: Background: Today, occupational accidents are one of the most important problems in industrial world. Due to lack of appropriate system for registration and reporting, there is no accurate statistics of occupational accidents all over the world especially in developing countries.Objectives: The aim of this study is epidemiological assessment of occupational accidents in Iran.Materials and Methods: Information of available occupational accidents in Social security Organization was extracted from accident reporting and registration forms. In this cross-sectional study, gender, age, economic activity, type of accident and injured body part in 22158 registered accidents during 2008 were described.Results: The occupational accidents rate was 253 in 100, 000 workers in 2008.98.2% of injured workers were men. The mean age of injured workers was 32.07±9.12 years. The highest percentage belonged to age group of 25-34 years old. In our study, most of the accidents occurred in basic metals industry, electrical and non-electrical machines and construction industry. Falling down from height and crush injury were the most prevalent accidents. Upper and lower extremities were the most common injured body parts.Conclusion: Due to the high rate of accidents in metal and construction industries, engineering controls, the use of appropriate protective equipment and safety worker training seems necessary.

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: Recall and precision are two indicators for evaluating information retrieval system’s efficiency and performance. The aim of the present study was to compare the recall and precision of Iranmedex, Magiran and SID Databases for retrieval of scholarly information in the domain of pharmacy.Methods: This work is an analytical study that, in this was used from comparison method and direct observation by end user. The population was articles retrieved from the Web sites of Iranmedex, Magiran & SID Databases. Data collection tool was checklist that validity was confirmed by experts of LIS. First, Keywords were listed from two numbers 7 & 8 of Twenty-first volume Journal of Behavioral pharmacology; And Keywords associated with this field were determined by Pharmacy specialists. Ten selected keywords searched in 3 Databases. Then retrieved results were refer to Pharmacy specialists for identify relevant records. The obtained data were analyzed with descriptive statistics (frequency), (χ2) and SPSS 11.5 software at the significant level of P<0.05.Results: Retrieved records of Iranmedex Database were 615, from Magiran 375 and SID was 116 records. Iranmedex dominated the top positions when comparing relative recall (39%) and SID revealed reliable precision in the output (55.1%). Iranmedex and Magiran Database have had more overlap (219 records).Conclusion: The results are tips for Pharmacy specialists to choose Database for retrieval of scholarly information, if recall is important for they, choose Iranmedex and if high precision is important, need to use the SID Database.

Database outsourcing is an idea to eliminate the burden of Database management from organizations. Since data is a critical asset of organizations, preserving its privacy from outside adversary and untrusted server should be warranted. In this paper, we present a distributed scheme based on storing shares of data on different servers and separating indexes from data on a distinct server. Shamir's secret sharing scheme is used for distributing data to data share servers. A B+-tree index on the order preserved encrypted values for each searchable attribute is stored in the index server. To process a query, the client receives responses including record numbers from the index server and asks these records from data share servers. The final result is computed by the client using data shares. While the proposed approach is secure against different Database attacks, it supports exact match, range, aggregation, and pattern matching queries efficiently. Simulation results show the prominence of our approach in comparison with the bucketing scheme as it imposes lower computation and communication costs on the client.

Crop wild relatives cover a wide range of food, forage, medicinal, ornamental and ‎industrial plants. Due to the ecosystem instability caused by climate change, the use of ‎biological and ecological capabilities of crop wild relatives is great importance to promote the ‎adaptation of crops. But, sofar, there are no regular sources on the list, their diffusion zones ‎and their diversity in Iran. So this study aimed to determine their diffusion patterns in order ‎to provide their basic ecological Database. In this study, species distribution data were ‎collected from field studies and domestic/international flora and herbarium sources and ‎geographical maps using ArcView version 3.2 software. In addition, the distribution patterns ‎of each species. A total of 6274 records belonging to 410 species of 217 genera belonging to ‎‎67 plant families of Eudicot crop wild relatives were reported. In addition to the Rosaceae ‎family with 46 species of 20 genera, Lamiaceae (38:19), Amaranthaceae (36:15), Apiaceae ‎‎(30:23), Papilionaceae (28:5) and Brassicaceae (18:11) with the largest number of Iranian crop ‎wild relatives comprise. However, providing In-situ and Ex-situ conservation for Iranian ‎eudicot crop wild relatives and the highest species richness of this group is located in central ‎Alborz and central Zagros.‎

Introduction: The Iranian Brain Imaging Database (IBID) was initiated in 2017, with 5 major goals: provide researchers easy access to a neuroimaging Database, provide normative quantitative measures of the brain for clinical research purposes, study the aging profile of the brain, examine the association of brain structure and function, and join the ENIGMA consortium. Many prestigious Databases with similar goals are available. However, they were not done on an Iranian population, and the battery of their tests (e. g. cognitive tests) is selected based on their specific questions and needs. Methods: The IBID will include 300 participants (50% female) in the age range of 20 to 70 years old, with an equal number of participants (#60) in each age decade. It comprises a battery of cognitive, lifestyle, medical, and mental health tests, in addition to several Magnetic Resonance Imaging (MRI) protocols. Each participant completes the assessments on two referral days. Results: The study currently has a cross-sectional design, but longitudinal assessments are considered for the future phases of the study. Here, details of the methodology and the initial results of assessing the first 152 participants of the study are provided. Conclusion: IBID is established to enable research into human brain function, to aid clinicians in disease diagnosis research, and also to unite the Iranian researchers with interests in the brain.

In Data Outsourcing, the owner surrenders his data management operations to an external provider which receives user queries and answers them. Besides, data may be of great importance to owners while the external provider may not be trustworthy. Thus, providing data privacy and integrity of user queries have to be considered. Here data privacy means that owner's data must not be revealed to service provider; and query integrity means that the result set returned to users must be sound, complete, and up-to-date. Different methods are proposed to handle mentioned goals with their own advantages and disadvantage, namely encryption usage, private information retrieval (PIR) and data distribution. In this article, we have proposed an approach to gain mentioned goals. Our approach provides better performance and it also provides data privacy and integrity of queries.