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Your search keyword '"Mohammadreza Ranjbari"' showing total 3 results
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3 results on '"Mohammadreza Ranjbari"'

1. Evaluation of Climatological Precipitation Datasets and Their Hydrological Application in the Hablehroud Watershed, Iran

Author

Hossein Salehi, Saeid Gharechelou, Saeed Golian, Mohammadreza Ranjbari, and Babak Ghazi

Subjects
VIC hydrological model, PERSAINN-CDR, APHRODITE, ERA5-Land, sensitivity analysis, Hydraulic engineering, TC1-978, Water supply for domestic and industrial purposes, TD201-500
Abstract

Hydrological modeling is essential for runoff simulations in line with climate studies, especially in remote areas with data scarcity. Advancements in climatic precipitation datasets have improved the accuracy of hydrological modeling. This research aims to evaluate the APHRODITE, PERSIANN-CDR, and ERA5-Land climatic precipitation datasets for the Hablehroud watershed in Iran. The datasets were compared with interpolated ground station precipitation data using the inverse distance weighted (IDW) method. The variable infiltration capacity (VIC) model was utilized to simulate runoff from 1992 to 1996. The results revealed that the APHRODITE and PERSIANN-CDR datasets demonstrated the highest and lowest accuracy, respectively. The sensitivity of the model was analyzed using each precipitation dataset, and model calibration was performed using the Kling–Gupta efficiency (KGE). The evaluation of daily runoff simulation based on observed precipitation indicated a KGE value of 0.78 and 0.76 during the calibration and validation periods, respectively. The KGE values at the daily time scale were 0.64 and 0.77 for PERSIANN-CDR data, 0.62 and 0.75 for APHRODITE precipitation data, 0.50 and 0.66 for ERA5-Land precipitation data during the calibration and validation periods, respectively. These results indicate that despite varying sensitivity, climatic precipitation datasets present satisfactory performance, particularly in poorly gauged basins with infrequent historical datasets.

Published
2024
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2. The influence of patient race on the outcome of endodontic treatments: a pooled analysis of one-year recall data from four cone beam computed tomography outcome studies

Author

Neha, Patel, Sasha, Scambler, Mohammadreza, Ranjbari, Mohammad, Alhammad, Abdulaziz A, Bakhsh, and Francesco, Mannocci

Subjects
General Dentistry
Abstract

Objectives The aim of this pooled data analysis was to establish if there is an association between a patient's race and the proportion of successful outcomes of endodontic treatments, and if so, what factors may determine this association.Methodology Data collected from four prospective clinical outcome studies were pooled. Patients were recalled 12 months after the completion of the treatment. Treatment outcome was determined by clinical findings and cone beam computed tomography examination. Statistical analysis included the description of categorical and continuous variables and simple binary logistic regression models, chi-squared tests and Kruskal-Wallis tests.Results Data from 301 patients were available. Of these patients, 43 were Black (14.3%), 50 were from a Non-Black Minority Ethnic (NBME) group (16.6%) and 208 were white (69.1%). The risk of an unfavourable outcome was higher in teeth with short root canal fillings (OR = 3.36; p = 0.002), when a preoperative radiolucency was present (OR = 2.59; p = 0.019) and when an intra-operative root canal perforation was detected (OR = 5.25; p = 0.016).Multiple regression models showed that Black (OR = 2.28; p = 0.05) and NBME patients (OR = 3.07; p = 0.008) had a higher risk of an unfavourable result compared to white patients.Conclusions Black and NBME patients had a significantly higher failure rate of root canal treatments compared to white patients. All other known pre-, intra- and post-operative risk factors for root canal treatment failure were present in similar proportions in BME and white patients.

Published
2022

3. The effect of Patient’s Race on the Outcome of Endodontic treatments: a pooled analysis of 1 year recall data from four Cone Beam Computed Tomography outcome studies

Author

Neha Patel, Sasha Scambler, Mohammadreza Ranjbari, Mohammad Alhammad, Abdulaziz Bakhsh, and Francesco Mannocci

Abstract

ObjectivesThe aim of this pooled data analysis was to establish if there is an association between a patient’s race and the proportion of successful outcomes of endodontic treatments, and if so, what factors may determine this association.MethodologyData collected from four prospective clinical outcome studies were pooled. Patients were recalled 12 months after the completion of the treatment. Treatment outcome was determined by clinical findings and cone beam computed tomography (CBCT) examination. Statistical analysis included the description of categorical and continuous variables and simple binary logistic regression models, Chi2 tests and Kruskal-Wallis tests.ResultsData from 301 patients were available, of which 43 were black (14.3%), 50 were non-black minority ethnic (NBME) (16.6%) and 208 white (69.1%). The risk of an unfavourable outcome was higher in teeth with short root canal fillings (OR=3.36; p=0.002), when a preoperative radiolucency was present (OR=2.59; p=0.019) and when an intra-operative root canal perforation was detected (OR=5.25; p=0.016).Multiple regression models showed that black (OR=2.28; p=0.05) and NBME patients (OR=3.07; p=0.008) had a higher risk of an unfavourable result compared to white patients. ConclusionsBlack and NBME patients had a significantly higher failure rate of root canal treatments compared to white patients, all other known pre, intra and post-operative risk factors for root canal treatment failure were present in similar proportions in BME and white patients.

Published
2022

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