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IVS8 Polyt and M470V Polymorphisms in Healthy Individuals and Cystic fibrosis Patients in Mazandaran Province, Iran
Kholghi Oskooei V,Esmaeeli Douki MR,Tabaripour R,Tavakkoly Bazzaz J
Tehran University Medical Journal , 2012,
Abstract: Background: Cystic fibrosis (CF) is a multiorgan autosomal recessive disorder. As CF is highly heterogeneous in Iran and many mutations have a low frequency, routine molecular diagnostic methods are not very efficient. The use of highly polymorphic intragenic markers not only can facilitate phenotype prediction in prenatal diagnosis by gene tracking, but also can lead to the demonstration of possible associations between haplotypes and specific mutations. We determined IVS8 polyT and M470V polymorphisms in exon 10 of CFTR gene in this case-control study. Methods: Polymorphisms of IVS8 polyT in 53 patients with CF were referred to Amirkola children's Hospital of Babol University of Medical Sciences, 2007 to 2011 and 49 fertile healthy individuals were determined by reverse dot blot method. M470V polymorphism was analyzed by PCR-RFLP. Results: In IVS8 polyT study, T7 was the most frequent allele in healthy individuals than patients with CF (respectively, 82.8% Vs. 77.2%). T9 was more abundant in patients with CF than normal individuals (respectively, 21.7% Vs. 7.4%, P=0.005). T9/T9 genotype was more frequent in patients than healthy individuals (respectively, 15.1% and 2%, P=0.032). Study for M470V polymorphism showed that M/V was the most common genotype in normal individuals and patients with CF (respectively, 49% and 40.4%). M-T9 haplotype was highly associated with the disease in both patients with CF and normal individuals (respectively, 19.1% and 2.4%, (P<0.001 Conclusion: The allelic distribution and heterozygosity results suggest that both M470V and IVS8 polyT can be helpful in the prenatal diagnosis of CF in Northern Iranians with a positive family history of the disease.
Tuberculous Meningoencephalitis: Intracranial Tumoral Presentation
Sh. Birang,M. Sanei Taheri,Y. Kholghi,V. Nahvi
Iranian Journal of Radiology , 2005,
Abstract: A 37-year-old Iranian woman presented acutely with decreased level of consciousness and bi-lateral mydriasis to the emergency ward. CT scan and MRI showed a large intracranial mass in the left frontotemporoparietal region of the cerebrum. The clinical and imaging findings were suggestive of an intracranial tumor. Frontotemporal lobectomy was performed and the resected specimen contained white caseating material. Grossly, the resected specimen was white and firm. Microscopically multiple granulomatous le-sions with epitheliod histiocytes and Langerhans giant cells and central caseation were seen, surrounded by inflammatory infiltration of plasma cells and neutrophils as well as meningeal congestion. These findings were compatible with necrotizing granulomatous encephalitis of tuberculosis. Parenchymal CNS tuberculosis with or without extra-cerebral manifestations may present as a space-occupying lesion. Because a tuberculoma is rarely suspected especially if there is atypical morphology, biopsy is required to establish the diagnosis and specific treatment
AN ANALYTICAL FRAMEWORK FOR DATA STREAM MINING TECHNIQUES BASED ON CHALLENGES AND REQUIREMENTS
MAHNOOSH KHOLGHI,,MOHAMMADREZA KEYVANPOUR
International Journal of Engineering Science and Technology , 2011,
Abstract: A growing number of applications that generate massive streams of data need intelligent data processing and online analysis. Real-time surveillance systems, telecommunication systems, sensor networks and other dynamic environments are such examples. The imminent need for turning such data into useful information and knowledge augments the development of systems, algorithms and frameworks that address streaming challenges. The storage, querying and mining of such data sets are highly computationally challenging tasks. Mining data streams is concerned with extracting knowledge structures represented in models and patterns in non stopping streams of information. Generally, two main challenges are designing fast mining methods for data streams and need to promptly detect changing concepts and data distribution because of highly dynamic nature of data streams. The goal of this article is to analyze and classify the application of diverse data mining techniques in different challenges of data stream mining. In this paper, we present the theoretical foundations ofdata stream analysis and propose an analytical framework for data stream mining techniques.
Comparative Evaluation of Data Stream Indexing Models
Mahnoosh Kholghi,MohammadReza Keyvanpour
Computer Science , 2012,
Abstract: In recent years, the management and processing of data streams has become a topic of active research in several fields of computer science such as, distributed systems, database systems, and data mining. A data stream can be thought of as a transient, continuously increasing sequence of data. In data streams' applications, because of online monitoring, answering to the user's queries should be time and space efficient. In this paper, we consider the special requirements of indexing to determine the performance of different techniques in data stream processing environments. Stream indexing has main differences with approaches in traditional databases. Also, we compare data stream indexing models analytically that can provide a suitable method for stream indexing.
An analytical framework for data stream mining techniques based on challenges and requirements
Mahnoosh Kholghi,Mohammadreza Keyvanpour
Computer Science , 2011,
Abstract: A growing number of applications that generate massive streams of data need intelligent data processing and online analysis. Real-time surveillance systems, telecommunication systems, sensor networks and other dynamic environments are such examples. The imminent need for turning such data into useful information and knowledge augments the development of systems, algorithms and frameworks that address streaming challenges. The storage, querying and mining of such data sets are highly computationally challenging tasks. Mining data streams is concerned with extracting knowledge structures represented in models and patterns in non stopping streams of information. Generally, two main challenges are designing fast mining methods for data streams and need to promptly detect changing concepts and data distribution because of highly dynamic nature of data streams. The goal of this article is to analyze and classify the application of diverse data mining techniques in different challenges of data stream mining. In this paper, we present the theoretical foundations of data stream analysis and propose an analytical framework for data stream mining techniques.
Evaluating and Comparing Some of the Quantitative Risk Analysis Methods to Estimate Design Flood of Dam Spillway (Case Study: Pishin Dam Spillway)
H Faghih,M Kholghi,S Kochekzadeh
Journal of Science and Technology of Agriculture and Natural Resources , 2009,
Abstract: Overtopping is one of the main factors responsible for dam failure. To avoid overtopping, dam is equipped with one or some spillways to release the water impounded in the reservoir. The number and size of these spillways are determined on the basis of design flood. Determination of design flood of dam spillway can be formulated as a multiobjective risk problem. This problem can be solved by Quantitative Risk Analysis Methods. Here, four economical design methods which are based on risk analysis including, United States National Research Council (NRC), US Civil Engineering, Unit Curve and Partitioned Multiobjective Risk (PMR) were studied. In order to compare these methods, Risk Analysis was performed for re-determining design flood of Pishin Dam Spillway. This Dam has been constructed on the Sarbaz River. Owing to the fact that the integrals of the expected damage relations in the two methods, i.e., Civil Engineering, and Partitioned Multiobjective Risk are analytically unsolvable, Romberg numerical integration technique and Excel software were utilized for the related calculations and drawing graphs. Also, in order to select suitable distribution, the flood analysis was done using Smada software. The findings of the study indicated that design flood determined by the three methods, i.e., Civil Engineering, National Research Council and Unit Curve was almost the same, and that the amount of flood was less than the 10,000-year-old flood; while design flood determined by Partitioned Multiobjective Risk Method, was larger than the 10,000- year-old flood.
Estimation of Air Temperature Using Temperature-Vegetation Index (TVX) Method
L. Parviz,M. Kholghi,KH. Valizadeh
Journal of Science and Technology of Agriculture and Natural Resources , 2011,
Abstract: The determination of air temperature is important in the energy balance calculation, hydrology and meteorological studies. In this regard, the limited number of meteorological stations is one of the serious problems for air temperature determination on a large spatial scale. The remote sensing technique by covering large areas and using updated satellite images might be appropriate for estimation of this parameter. In this research, the negative correlation between land surface temperature and vegetation index (NDVI) has been used for air temperature estimation through TVX method in which the inference of air temperature is based on the hypothesis that the temperature of the dense vegetation canopy is close to air temperature. For investigation the performance of TVX method, images of MODIS sensor have been applied for the Sefidrod River basin in the years 1381- 1382-1384. The spilt window technique which was developed by Price has been used for land surface temperature calculation. The mean difference between observed and estimated land surface temperature using Price algorithm was about 6.2Co. This error can affect the air temperature values. Because of using NDVI index in TVX method, this method has the sensitivity to the vegetation density, though in the parts with sparse vegetation, the value of error increases. 4 percent variation of air temperature against the 0.05 increasing of maximum NDVI indicates the high performance of TVX method for air temperature estimation in large areas.
The Pattern of Mobile Phone Use and Prevalence of Self-Reported Symptoms in Elementary and Junior High School Students in Shiraz, Iran
Seyed Mohammad Javad Mortazavi,Mohammad Atefi,Fatemeh Kholghi
Iranian Journal of Medical Sciences , 2011,
Abstract: Background: The use of mobile phone by children is increasing drastically. Children are likely to accumulate many years of exposure during their lives. Furthermore, as nervous systems in children are developing, children may be at a greater risk compared to adults. In this light, some scientists have suggested that the use of mobile phones should be restricted in high-risk groups such as children. This study is an attempt to explore the pattern of mobile phone use and its health effects among students from the city of Shiraz, Iran. Methods: A total of 469 (235 males and 234 females; 250 elementary and 219 junior high school) healthy students participated in this study. The students were randomly selected from three different educational districts of the city. For each student, a questionnaire regarding the possible sources of exposure to electromagnetic fields or microwave radiation, specially the pattern of mobile phone use, medical history and life style was filled out by interviewers. Results: Only 31.42% of the students used to use mobile phones. The average daily time of using mobile phones in talk mode was 7.08±21.42 minutes. Not only the relative frequency of mobile phone ownership in boys was significantly more than the girls, but also the boys used their mobile phones more frequently. Statistically significant associations were found between the time mobile phones were used in talk mode and some symptoms. Furthermore, a statistically significant association was found between the time mobile phones were used in talk mode and the number of headaches per month, number of vertigo per month, or number of sleeping problem per month. Conclusion: Results obtained in this study show that a large proportion of children in the city of Shiraz use mobile phones. A significant increase was found in some self-reported symptoms among users of mobile phones. These findings are in line with what is widely believed regarding the higher vulnerability of children to exhibit symptoms from using mobile phones. The findings and conclusion of the present study should be viewed in the light the nature of symptoms measurement (self-report) and the knowledge and understandings of the participants about the symptoms
Minimizing the Time of Spam Mail Detection by Relocating Filtering System to the Sender Mail Server
Alireza Nemaney Pour,Raheleh Kholghi,Soheil Behnam Roudsari
International Journal of Network Security & Its Applications , 2012,
Abstract: Unsolicited Bulk Emails (also known as Spam) are undesirable emails sent to massive number of users. Spam emails consume the network resources and cause lots of security uncertainties. As we studied, the location where the spam filter operates in is an important parameter to preserve network resources. Although there are many different methods to block spam emails, most of program developers only intend to block spam emails from being delivered to their clients. In this paper, we will introduce a new and efficient approach to prevent spam emails from being transferred. The result shows that if we focus on developing a filtering method for spams emails in the sender mail server rather than the receiver mail server, we can detect the spam emails in the shortest time consequently to avoid wasting network resources.
FGF18 augments osseointegration of intra-medullary implants in osteopenic FGFR3-/- mice
A Carli,C Gao,M Khayyat-Kholghi,A Li
European Cells and Materials (ECM) , 2012,
Abstract: Enhancement of endogenous bone regeneration is a priority for integration of joint replacement hardware with host bone for stable fixation of the prosthesis. Fibroblast Growth Factor (FGF) 18 regulates skeletal development and could therefore have applications for bone regeneration and skeletal repair. This study was designed to determine if treatment with FGF 18 would promote bone regeneration and integration of orthopedic hardware in FGF receptor 3 deficient (FGFR3-/-) mice, previously characterized with impaired bone formation. Rigid nylon rods coated with 200 nm of titanium were implanted bilaterally in the femora of adult FGFR3-/- and FGFR3+/+ mice to mimic human orthopedic hardware. At the time of surgery, LEFT femora received an intramedullary injection of 0.5 μg FGF18 (Merck Serono) and RIGHT femora received PBS as a control. Treatment with FGF18 resulted in a significant increase in peri-implant bone formation in both FGFR3+/+ and FGFR3-/- mice, with the peri-implant fibrous tissue frequently seen in FGFR3-/- mice being largely replaced by bone. The results of this pre-clinical study support the conjecture that FGF18 could be used in the clinical setting to promote integration of orthopedic hardware in poor quality bone.
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