The knowledge related to the methodology of the FIELD trial study as a type of intervention studies, yet for many of our researchers is not fully understood. The aim of the current study was a better understanding of conducting this type of research. FIELD trial studies are done on healthy individuals and aim to prevent. These types of studies such as clinical trials are performed on both individual and collective levels. One type of these studies is Community Intervention Trial which is usually done on a large scale population. FIELD trial study should be carried out in stages, such as the formulation of hypotheses, selection of the population (reference population, study population, and sampling), measuring the baseline variables (before conducting preventive intervention), random allocation of subjects to intervention and control groups, doing interventions and measuring outcome. The methodology of FIELD trial studies is very similar to clinical trials. The difference is that FIELD trials are conducted on healthy individuals and aim to prevent and also the sample size required to this type of study is relatively more, and these studies are usually time consuming and costly.

This paper describes the implementation of a low power and high-speed encryption algorithm with high throughput for encrypting the image. Therefore, we select a highly secured symmetric key encryption algorithm AES (Advanced Encryption Standard), in order to decrease the power using retiming and glitch and operand isolation techniques in four stages, control unit based on logic gates, optimal design of multiplier blocks in mixcolumn phase and simultaneous production keys and rounds. Such procedure makes AES suitable for fast image encryption.Implementation of a 128-bit AES on FPGA of Altera Company has been done, and the results are as follows: throughput, 6.5 Gbps in 441.5 MHz and 130mw power consumption. The time of encrypting in tested image with 32*32 sizes is 1.25ms.

Purpose: Clustering and co-word analysis is a method to reveal relationships and links and illustrate the intellectual structure of a scientific FIELD. This research tries to study the intellectual structure of articles in the FIELD of futures studies in Iran by using the technique of co-word analysis. Method: The current research is a descriptive-analytical development with a scientometric approach. The statistical population is 921 articles retrieved records in the FIELD of futures studies. Findings: The findings showed that articles in the FIELD of futures studies in Iran are often associated with positive growth, and in terms of frequency, the keywords scenario, Islamic Republic, and foresight are the most frequent in futures studies. The findings related to the hierarchical clustering led to the formation of 8 clusters in this FIELD, namely "ICT visions", "geographers who love the future", "knowledge development", " Futuristic higher education", "Future of Religion", "Regional Relations", "Strategic Foresight" and "Heavy Weight of Method". Conclusion: According to the findings of the current research and the high frequency of the keyword scenario, as well as the density and relationships of this keyword with other keywords, it can be concluded that the scenario is the dominant approach in futures studies. Also, according to the resulting clusters, it was observed that these researches have a high variety, but addressing the future in many areas is still neglected.

Background & Aims: Urinary tract infection (UTI) is one of the most frequently acquired bacterial infections caused by a large genetically heterogeneous group of Escherichia coli, which are called uropathogenic E. coli (UPEC). Cystitis and pyelonephritis are two most common symptoms seen in patients with UTI. The genetic diversity of this organism has hampered the identification of UTI strains and it is unclear whether all UPEC isolates are capable of causing both cystitis and pyelonephritis. Therefore, Careful selection of appropriate genotyping methods is mandatory. The most popular method is Pulsed FIELD Gel Electrophoresis (PFGE) that is used in the present study to evaluate the genetic patterns of UPEC. Methods: In this cross-sectional study a total of 90 E. coli strains consisting of 48 isolates causing pyelonephritis and 42 isolates causing cystitis in children were analyzed by PFGE and their corresponding patterns were compared. Results: Sixty six PFGE profiles were obtained from the genome of E. coli strains by this genotyping method. Most strains exhibited twelve and thirteen bands and the patterns with eight or nineteen bands had the lowest rate. Genome size of strains was between 1610-4170 kbp. Conclusion: According to these results, it can be suggested that in some cases the strains causing pyelonephritis or cystitis have common patterns and different clinical symptoms could be attributed to different gene factors.

Introduction: Acinetobacters especially Acinetobacter baumannii causing nosocomial infections in hospitals intensive care units and can cause a variety of hospital infections such as bacteremia, meningitis, pneumonia and urinary tract infections. There are several molecular techniques for microbial genotyping, among them Pulsed- FIELD Gel Electrophoreses is introduced as the gold standard for sub typing of bacteria. The aim of this study was investigating the molecular typing of A. baumannii strains with PFGE as well as the relationship between common types available and their antibiotic resistance.Methods: In this descriptive - analysis study, 50 Acinetobacter baumannii were confirmed with cultivation methods and biochemical tests. Then, bacteria were detected using PFGE typing and the results were compared with the results of antibiotic resistance.Results: The results showed that all isolates had multiple resistance. The highest sensitivity was observed for tobramycin (52%), gentamicin (36%) and moropenem (32%).The results of this study showed that A. baumannii strains isolated from Shahrekord hospitals were in seven different genetic patterns that two of these patterns were sporadic and the genetic patterns were different in each hospital.Conclusion: Although variations among strains of Acinetobacter baumannii were observed by using PFGE in Shahrekord, but no epidemic strain was detected among them. In terms of resistance to commonly used antibiotics were also different patterns.