Robotic systems have become popular in modern surgical procedures.The option of telesurgery has effectively addressed geographic limitations.These systems are offered by numerous companies worldwide.In this review art...Robotic systems have become popular in modern surgical procedures.The option of telesurgery has effectively addressed geographic limitations.These systems are offered by numerous companies worldwide.In this review article,we discuss four models of robotic systems to determine their advantages:the Sina flex system from Iran and the da Vinci Xi,SP,and 5 systems from the USA.We compared aspects such as architecture,instruments,visualizations,clinical use,and costs.Our findings suggest that the da Vinci robot,which was introduced earlier than the Sina system,utilizes proprietary and limited-use EndoWrist instruments with diameters ranging from 8 to 12 mm and features advanced imaging capabilities,including three-dimensional optical,tomographic,and fluorescence imaging.It is well established and widely utilized in various surgical procedures.Conversely,the Sina flex system employs single-use 5 mm instruments and is equipped with two-dimensional optical imaging as a standard,with optional three-dimensional and fluorescence imaging upgrades available.Despite its affordability,the Sina flex system is relatively new and has not yet been clinically tested.Additionally,the Sina flex system is more user-friendly.展开更多
Ethiopia has a mountainous landscape which can be divided into the Northwestern and Southeastern plateaus by the Main Ethiopian Rift and Afar Depression. Debre Sina area is located in Central Ethiopia along the escarp...Ethiopia has a mountainous landscape which can be divided into the Northwestern and Southeastern plateaus by the Main Ethiopian Rift and Afar Depression. Debre Sina area is located in Central Ethiopia along the escarpment where landslide problem is frequent due to steep slope, complex geology, rift tectonics, heavy rainfall and seismicity. In order to tackle this problem, preparing a landslide susceptibility map is very important. For this, GISbased frequency ratio(FR) and logistic regression(LR) models have been applied using landslide inventory and the nine landslide factors(i.e. lithology, land use, distance from river & fault, slope, aspect, elevation, curvature and annual rainfall). Database construction, weighting each factor classes or factors, preparing susceptibility map and validation were the major steps to be undertaken. Both models require a rasterized landslide inventory and landslide factor maps. The former was classified into training and validation landslides. Using FR model, weights for each factor classes were calculated and assigned so that all the weighted factor maps can be added to produce a landslide susceptibility map. In the case of LR model, the entire study area is firstly divided into landslide and non-landslide areas using the training landslides. Then, these areas are changed into landslide and non-landslide points so as to extract the FR maps of the nine landslide factors. Then a linear relationship is established between training landslides and landslide factors in SPSS. Based on this relationship, the final landslide susceptibility map is prepared using LR equation. The success-rate and prediction-rate of FR model were 74.8% and 73.5%, while in case of LR model these were 75.7% and 74.5% respectively. A close similarity in the prediction and validation rates showed that the model is acceptable. Accuracy of LR model is slightly better in predicting the landslide susceptibility of the area compared to FR model.展开更多
文摘Robotic systems have become popular in modern surgical procedures.The option of telesurgery has effectively addressed geographic limitations.These systems are offered by numerous companies worldwide.In this review article,we discuss four models of robotic systems to determine their advantages:the Sina flex system from Iran and the da Vinci Xi,SP,and 5 systems from the USA.We compared aspects such as architecture,instruments,visualizations,clinical use,and costs.Our findings suggest that the da Vinci robot,which was introduced earlier than the Sina system,utilizes proprietary and limited-use EndoWrist instruments with diameters ranging from 8 to 12 mm and features advanced imaging capabilities,including three-dimensional optical,tomographic,and fluorescence imaging.It is well established and widely utilized in various surgical procedures.Conversely,the Sina flex system employs single-use 5 mm instruments and is equipped with two-dimensional optical imaging as a standard,with optional three-dimensional and fluorescence imaging upgrades available.Despite its affordability,the Sina flex system is relatively new and has not yet been clinically tested.Additionally,the Sina flex system is more user-friendly.
文摘Ethiopia has a mountainous landscape which can be divided into the Northwestern and Southeastern plateaus by the Main Ethiopian Rift and Afar Depression. Debre Sina area is located in Central Ethiopia along the escarpment where landslide problem is frequent due to steep slope, complex geology, rift tectonics, heavy rainfall and seismicity. In order to tackle this problem, preparing a landslide susceptibility map is very important. For this, GISbased frequency ratio(FR) and logistic regression(LR) models have been applied using landslide inventory and the nine landslide factors(i.e. lithology, land use, distance from river & fault, slope, aspect, elevation, curvature and annual rainfall). Database construction, weighting each factor classes or factors, preparing susceptibility map and validation were the major steps to be undertaken. Both models require a rasterized landslide inventory and landslide factor maps. The former was classified into training and validation landslides. Using FR model, weights for each factor classes were calculated and assigned so that all the weighted factor maps can be added to produce a landslide susceptibility map. In the case of LR model, the entire study area is firstly divided into landslide and non-landslide areas using the training landslides. Then, these areas are changed into landslide and non-landslide points so as to extract the FR maps of the nine landslide factors. Then a linear relationship is established between training landslides and landslide factors in SPSS. Based on this relationship, the final landslide susceptibility map is prepared using LR equation. The success-rate and prediction-rate of FR model were 74.8% and 73.5%, while in case of LR model these were 75.7% and 74.5% respectively. A close similarity in the prediction and validation rates showed that the model is acceptable. Accuracy of LR model is slightly better in predicting the landslide susceptibility of the area compared to FR model.
