klinefelter syndrome includes a group of chromosomal disorders with at least one  additional  x  chromosome  in  male  karyotype  (46,xy).  up  to  now, different dental manifestations such as taurodontism, congenital absence of permanent teeth, shovel incisors, occlusal anomalies and increased permanent tooth size have been reported. a case of klinefelter syndrome with very rare dental feature...

the lalezar granitoids crop out within volcanic successions of the urumieh-dokhtar magmatic assemblage (udma). these granitoids have a range from gabbro-diorites to granites in composition. the mineral compositions of the most felsic rocks are characterized by the abundances of na-plagioclase, quartz, alkali feldspar, biotite and hornblende. in the gabbro-diorite rocks, plagioclase (ca-rich), h...

identification of spatial-temporal anomalies sea level pressure in iran was the main aim in this research. for this purpose six hourly data used from the to eastern longitude and to northern latitude. in this location, there are 825 pixels to geographical degree. therefore, database extent created. in this matrix, 825 are number of the pixels at that location and 90520 is number of six hourly s...

This paper is aimed to address the study of techniques focused on the use of a family of anomalies based on a family of geometric transformations that includes the true anomaly f , the eccentric anomaly g and the secondary anomaly f ′ defined as the polar angle with respect to the secondary focus of the ellipse. This family is constructed using a natural generalization of the eccentric anomaly....

Background Müllerian anomalies are associated with infertility. Hysteroscopy as the gold standard of evaluating Müllerian anomalies is an invasive, expensive and risky procedure which requires enough experience. Transvaginal sonography (TVS) and hysterosalpingography (HSG) are less invasive procedures, but their accuracy is unknown. The aim of this study was to compare the accuracy of combinati...

[1] With large volumes of data arriving in near real time from environmental sensors, there is a need for automated detection of anomalous data caused by sensor or transmission errors or by infrequent system behaviors. This study develops and evaluates three automated anomaly detection methods using dynamic Bayesian networks (DBNs), which perform fast, incremental evaluation of data as they bec...