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2篇 您的检索式：作者名="Rashmi Nigam"

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		题名	作者	年代	出处	被引量
	1	Persistent mullerian duct syndrome presenting as retractile testis with hypospadias: A rare entity显示文摘A rare entity of persistent mullerian duct syndrome usually presents with a common symptom of undescended testis(UDT) or hernia. Male pseudo-hermaphroditism with persistent internal mullerian duct structures can present with a 46, XY karyotype with normal external genitalia and. It arises due to deficiency of antimullerian substance, resulting from reduced production/responsiveness to mullerian duct, leading to persistence of mullerian duct along with normal development of Wolffian duct structures. Presence of mullerian structure prevents testicular descent increasing the risk of testicular vanishing syndrome. The authors here report a case of 16 years old phenotypical male who came with retractile right sided testis and left side UDT in the urology outpatient department. Explorative laparotomy was performed and an ill-defined mass was excised and sent for histopathological examination. Histopathology revealed presence of mullerian structures. The serum testosterone level was normal, buccal smear cytology and karyotyping revealed a 46, XY genotype of the patient.	Aruna V Vanikar Lovelesh A Nigam Rashmi D Patel Kamal V Kanodia Kamlesh S Suthar Umang G Thakkar	2016	World Journal of Clinical Cases2016，4，6：	1
	2	Modeling tropical river runoff: A time dependent approach显示文摘Forecasting of rainfall and subsequent river runoff is important for many operational problems and applications related to hydrology. Modeling river runoff often requires rigorous mathematical analysis of vast historical data to arrive at reasonable conclusions. In this paper we have applied the stochastic method to characterize and predict river runoff of the perennial Kulfo River in southern Ethiopia. The time series analysis based auto regressive integrated moving average(ARIMA) approach is applied to mean monthly runoff data with 10 and 20 years spans. The varying length of the input runoff data is shown to influence the forecasting efficiency of the stochastic process. Preprocessing of the runoff time series data indicated that the data do not follow a seasonal pattern. Our forecasts were made using parsimonious non seasonal ARIMA models and the results were compared to actual 10-year and 20-year mean monthly runoff data of the Kulfo River. Our results indicate that river runoff forecasts based upon the 10-year data are more accurate and efficient than the model based on the 20-year time series.	Rashmi Nigam Sudhir Nigam Sushil K. Mittal	2014	Research in Cold and Arid Regions2014，6，3：	0

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