Prevalence of smoking among the students resided at dormitories in Golestan university of medical sciences, Iran

Introduction: Cigarette smoking leads to harmful physical and emotional problems and also is a predisposed factor for the addiction. The aim of this study was an attempt to determine the rate of prevalence and causes of smoking among the students of Golestan University of Medical Sciences who resided in the dormitories. Material & Methods: A cross-sectional analytical study conducted among the resident students of dormitories in 2010. The sample size consisted of all the university dormitory students. The data gathered using a validated and reliable questionnaire. The data analyzed using SPSS software and statistical tests including Chi-square, Logistic regression and Independent t-test. Results: Of 669 students, 538 (80%) of them filled out the questionnaires completely. 67.3% (362 subjects) were female. 6.1% (33 students) were smoker and 83.5% of them had experiences of cigarette smoking. The most important reasons for the smoking tendency were “having a smoker friend in 33%, a personal interest 27% and as hobby in 24% of the cases”. There were significant relation between “age, sex, region and year of education” with smoking (P0.05). Conclusion: The results indicated low prevalence of cigarette smoking among the students. However, preventive measures should be taken to conduit youth toward healthier behaviors. It seems parental control and monitoring children’s friend finding are crucial issue. © 2014, Bangladesh Journal of Medical Science. All rights reserved

Identification of a De novo 3bp deletion in CRYBA1/A3 gene in Autosomal dominant congenital cataract

Autosomal dominant congenital cataract (ADCC) is the most common form of inherited cataracts and accounts for one-third of congenital cataracts. Heterozygous null mutations in the crystallin genes are the major cause of the ADCC. This study aims to detect the mutational spectrum of four crystallin genes, CRYBA1/A3, CRYBB1, CRYBB2 and CRYGD in an Iranian family. Genomic DNA was isolated from whole blood cells from theproband and other family members. The coding regions and flanking intronicsequences of crystalline genes were analyzed by Sanger sequencing in aproband with ADCC. The identified mutation was further evaluated in available family members. To predict the potential protein partners of CRYBA1/A3, we also used an in-silico analysis. A de novo heterozygous deletion (c.272-274delGAG, p.G91del) in exon 4 of CRYBA1/A3 gene, leading to a deletion of Glycine at codon 91 was found. This genetic variation did not change the reading frame of CRYBA1 protein. In conclusion, we identified a de novo in-frame 3-bp deletion in the proband with an autosomal dominant congenital cataract, but not in her parents, in an Iranian family. This mutation has occurred de novo on a paternal gamete during spermatogenesis. The in-silico results predicted the interaction of CRYBA1 protein with the other CRY as well as proteins responsible for eye cell signaling. � 2016 Tehran University of Medical Sciences. All rights reserved

Change in bone mineral density in post menopausal women with rheumatoid arthritis

Introduction: Low bone mass is a serious complication of post menopausal women with rheumatoid arthritis. We determined the Change in Bone Mineral Density in postmenopausal women with rheumatoid arthritis. Methods: This retrospective cohort study was carried out on consecutive postmenopausal women with rheumatoid arthritis who were referred to the Azar 5th teaching hospital affiliated to Golestan University of Medical Sciences, North of Iran in 2009. The required data were gathered from the patients' medical records. The data were analyzed using SPSS software and statistical tests. Results: We studied 98 postmenopausal women with rheumatoid arthritis. Mean number of years since menopause and mean duration of disease were 9.39 and 5.13 respectively. T Score mean in femoral neck and lumbar spines was -1.45±1.26 and -2.45±1.44 respectively. The overall prevalence of osteoporosis at both the lumbar spine and femoral neck was 13.3. We have found a significant correlation between age, duration of disease, duration of menopause and bone mineral density (P-Value<0.01). Conlusion: Our results indicate a negative effect of age, number of years since menopause and duration of disease on bone mineral density. So, BMD should be measured in high risk women prior to the implementation of any treatment or prevention program

Length-weight frequency and sex ratio of crayfish, Astacus leptodactylus, in Aras Reservoir, west Azerbaijan, Iran

The length-weight frequency and sex ratio of crayfish (Astacus leptodactylus) in Aras Reservoir, was studied seasonally from spring 2008 to winter 2009. The total mean length and weight for the crayfish were 106.43±7.94mm and 35.81±10.86g, respectively. A measured 18.99% of the caught crayfish exceeded the standard commercial size (120mm) and only 16.43% of the catch weighed higher than the standard commercial weight 50 grams. The standards have been set forth by West Azerbaijan Fishery Office. Generally, the male crayfish dominated the samples. Comparisons of growth equations confirmed that the males are heavier than females with the same size. The results showed that crayfish Astacus leptodactylus has critical condition in Aras Reservoir

Developing the attenuation relation for damage spectrum in X-braced steel structures with neural network

Evaluating structural damage, caused by earthquakes, is very important in seismic risk management. Zoning maps of structural damage are directly used in evaluating damage of different zones as well as planning to retrofit structures. Attenuation relation is applied in preparing the acceleration zoning of regions. Similarly, damage attenuation relations which are used in analyzing probabilistic hazard and preparing damage zoning are obtained by structural damage spectrum. This spectrum is nonlinear and designed by considering nonlinear parameters of a series of one-degree-of-freedom structures and time history dynamic analysis. After gathering and modifying 778 records of the earthquakes happened in Iran, the damage spectrum was prepared for X-braced steel structures with different specifications (yield force, hysteresis curves, and ductility capacity). Damage attenuation relation was developed for the structures through regression analysis and the obtained results were compared with those of artificial neural network method. Damage of three samples with different specifications was calculated by the developed attenuation relation. The obtained results were compared with those of time history dynamic analysis. The developed relations were used for analyzing the probabilistic damage risk and preparing the damage zoning maps for city of Qazvin, as a seismic region in Iran

Intelligent approach for attracting churning customers in banking industry based on collaborative filtering

During recent years, increased competition among banks has caused many developments in banking experiences and technology, while leading to even more churning customers due to their desire of having the best services. Therefore, it is an extremely significant issue for the banks to identify churning customers and attract them to the banking system again. In order to tackle this issue, this paper proposes a novel personalized collaborating filtering recommendation approach joint with the user clustering technology. In the proposed approach, first a hybrid algorithm based on Particle Swarm Optimization (PSO) and K-mean cluster the loyal customers. The clusters of loyal customers are used to identify the features of the churning customers. Finally, the list of appropriate banking services are recommended for the churning customers based on a collaborative filtering recommendation system. The recommendation system uses the information of loyal customers to offer appropriate services for the churning customers. We applied successfully the proposed intelligent approach to return the churning customers of an Iranian bank.http://www.jise.ir/article_16171.htm

Evaluation of SD-208, a TGF-β-RI kinase inhibitor, as an anticancer agent in retinoblastoma

Retinoblastoma is the most common intraocular tumor in children resulting from genetic alterations and transformation of mature retinal cells. The objective of this study was to investigate the effects of SD-208, TGF-β-RI kinase inhibitor, on the expression of some miRNAs including a miR-17/92 cluster in retinoblastoma cells. Prior to initiate this work, the cell proliferation was studied by Methyl Thiazolyl Tetrazolium (MTT) and bromo-2�-deoxyuridine (BrdU) assays. Then, the expression patterns of four miRNAs (18a, 20a, 22, and 34a) were investigated in the treated SD-208 (0.0, 1, 2 and 3 μM) and untreated Y-79 cells. A remarkable inhibition of the cell proliferation was found in Y-79 cells treated with SD-208 versus untreated cells. Also, the expression changes were observed in miRNAs 18a, 20a, 22 and 34a in response to SD-208 treatment (P<0.05). The findings of the present study suggest that the anti-cancer effect of SD-208 may be exerted due to the regulation of specific miRNAs, at least in this particular retinoblastoma cell line. To the best of the researchers� knowledge, this is the first report demonstrating that the SD-208 could alter the expression of tumor suppressive miRNAs as well as oncomiRs in vitro. In conclusion, the present data suggest that SD-208 could be an alternative agent in retinoblastoma treatment. © 2016 Tehran University of Medical Sciences. All rights reserved

Epidemiological alteration in pathogens found in ground meat in Iran: unexpected predominance of vancomycin-resistant Enterococcus faecalis

Colonization of the human and animal intestinal tract with potential pathogenic bacteria is correlated with the risk of contamination of food products. The current study analyzed the prevalence of Enterococcus faecalis and Escherichia coli O157H7 in ground meat in Ilam, Iran. Both index organisms were identified following standard food microbiological methods. For E. faecalis, the susceptibility to vancomycin was tested, and PCR was used to check for the vanA gene. E. faecalis was present in all 24 ground meat samples, with no E. coli O157H7 detected in samples. The analysis showed the presence of the vanA gene in 5/24 vancomycin resistant enterococci. In conclusion, this study for the first time demonstrates the presence of vancomycin-resistant enterococci in ground meat in Iran. This observation warrants further epidemiologic investigation and should be followed up in the future

Clustering Algorithms for Spatial Big Data

In our time people and devices constantly generate data. User activity generates data about needs and preferences as well as the quality of their experiences in different ways: i. e. streaming a video, looking at the news, searching for a restaurant or a an hotel, playing a game with others, making purchases, driving a car. Even when people put their devices in their pockets, the network is generating location and other data that keeps services running and ready to use. This rapid developments in the availability and access to data and in particular spatially referenced data in a different areas, has induced the need for better analysis techniques to understand the various phenomena. Spatial clustering algorithms, which groups similar spatial objects into classes, can be used for the identification of areas sharing common characteristics. The aim of this paper is to analyze the performance of three different clustering algorithms i.e. the Density-Based Spatial Clustering of Applications with Noise algorithm (DBSCAN), the Fast Search by Density Peak (FSDP) algorithm and the classic K-means algorithm (K-Means) as regards the analysis of spatial big data. We propose a modification of the FSDP algorithm in order to improve its efficiency in large databases. The applications concern both synthetic data sets and satellite images