The first mid-term election of the U. S. in the new century took place on November 5, 2002. One third of the senators from the 107th Congress (34 out of 100), all representatives (435), 36 state governors, and numerou...The first mid-term election of the U. S. in the new century took place on November 5, 2002. One third of the senators from the 107th Congress (34 out of 100), all representatives (435), 36 state governors, and numerous local officials and legislators were to be elected or reelected. The resounding victory of the GOP in the congressional elections and the fact that the Democrats only got three more.展开更多
Objective Transesophageal echocardiography (TEE) guided,minimally invasive perventricular device occlusion of ventricular septal defects (VSDs) without cardiopulmonary bypass (CPB) has been applied in multiple centers...Objective Transesophageal echocardiography (TEE) guided,minimally invasive perventricular device occlusion of ventricular septal defects (VSDs) without cardiopulmonary bypass (CPB) has been applied in multiple centers. We reported experiences and the mid-term results. Methods Four hundred and thirty-two cases from 4 cardiac centers were involved in the study. There were 235 maled and 197 females,aged from 3 months to 15 years,with a body weight varying from 4.0 to 26.0 kg.展开更多
Objective To compare the clinical outcomes of Bryan disc replacement with anterior cervical discectomy and fusion (ACDF) in patients with cervical spondylopathy. Methods Sixteen patients underwent Bryan cervicaldisc r...Objective To compare the clinical outcomes of Bryan disc replacement with anterior cervical discectomy and fusion (ACDF) in patients with cervical spondylopathy. Methods Sixteen patients underwent Bryan cervicaldisc replacement (A group) ,and展开更多
The temporal-spatial distribution of mid-small earthquakes in Italy and its surroundings from January 1 to April 5,2009 shows that there were significant foreshocks before the moderate L'Aquila earthquake of April...The temporal-spatial distribution of mid-small earthquakes in Italy and its surroundings from January 1 to April 5,2009 shows that there were significant foreshocks before the moderate L'Aquila earthquake of April 6,2009.The enhancement of frequency and intensity of small earthquakes and their concentrating tendency to the future main shock have provided a comprehensive case for digging methods of earthquake forecasting with foreshocks.展开更多
Rice germplasm A total of 208 indica P/TGMS lines were selected for analysis from the National Mid-term Genebank for Rice, Hangzhou, China (Supplemental Table 2), and 100 typical indica and 100 japonica accessions to ...Rice germplasm A total of 208 indica P/TGMS lines were selected for analysis from the National Mid-term Genebank for Rice, Hangzhou, China (Supplemental Table 2), and 100 typical indica and 100 japonica accessions to identify the indica/japonica component of them were also from the National Mid-term Genebank for Rice, Hangzhou, China (Supplemental Table 5).展开更多
The aviation industry has seen significant advancements in safety procedures over the past few decades, resulting in a steady decline in aviation deaths worldwide. However, the safety standards in General Aviation (GA...The aviation industry has seen significant advancements in safety procedures over the past few decades, resulting in a steady decline in aviation deaths worldwide. However, the safety standards in General Aviation (GA) are still lower compared to those in commercial aviation. With the anticipated growth in air travel, there is an imminent need to improve operational safety in GA. One way to improve aircraft and operational safety is through trajectory prediction. Trajectory prediction plays a key role in optimizing air traffic control and improving overall flight safety. This paper proposes a meta-learning approach to predict short- to mid-term trajectories of aircraft using historical real flight data collected from multiple GA aircraft. The proposed solution brings together multiple models to improve prediction accuracy. In this paper, we are combining two models, Random Forest Regression (RFR) and Long Short-term Memory (LSTM), using k-Nearest Neighbors (k-NN), to output the final prediction based on the combined output of the individual models. This approach gives our model an edge over single-model predictions. We present the results of our meta-learner and evaluate its performance against individual models using the Mean Absolute Error (MAE), Absolute Altitude Error (AAE), and Root Mean Squared Error (RMSE) evaluation metrics. The proposed methodology for aircraft trajectory forecasting is discussed in detail, accompanied by a literature review and an overview of the data preprocessing techniques used. The results demonstrate that the proposed meta-learner outperforms individual models in terms of accuracy, providing a more robust and proactive approach to improve operational safety in GA.展开更多
Due to the stochastic and correlated attributes of natural inflows, the mid-term generation scheduling problem for cascaded hydro systems is a very challenging issue.This paper proposes a novel stochastic optimization...Due to the stochastic and correlated attributes of natural inflows, the mid-term generation scheduling problem for cascaded hydro systems is a very challenging issue.This paper proposes a novel stochastic optimization algorithm using Latin hypercube sampling and Cholesky decomposition combined with scenario bundling and sensitivity analysis(LC-SB-SA) to address this problem.To deal with the uncertainty of natural inflows, Latin hypercube sampling is implemented to provide an adequate number of sampling scenarios efficiently, and Cholesky decomposition is introduced to describe the correlated natural inflows among cascaded stations.In addition, to overcome the difficulties in solving the objectives of all the scenarios, scenario bundling and sensitivity analysis algorithms are developed to improve the computational efficiency.Simulation results from both two-station and tenstation systems indicate that the proposed method has the merits in accuracy as well as calculation speed for the midterm cascaded hydro generation scheduling.The consideration of natural inflow correlation makes the formulated problem more realistic.展开更多
文摘The first mid-term election of the U. S. in the new century took place on November 5, 2002. One third of the senators from the 107th Congress (34 out of 100), all representatives (435), 36 state governors, and numerous local officials and legislators were to be elected or reelected. The resounding victory of the GOP in the congressional elections and the fact that the Democrats only got three more.
文摘Objective Transesophageal echocardiography (TEE) guided,minimally invasive perventricular device occlusion of ventricular septal defects (VSDs) without cardiopulmonary bypass (CPB) has been applied in multiple centers. We reported experiences and the mid-term results. Methods Four hundred and thirty-two cases from 4 cardiac centers were involved in the study. There were 235 maled and 197 females,aged from 3 months to 15 years,with a body weight varying from 4.0 to 26.0 kg.
文摘Objective To compare the clinical outcomes of Bryan disc replacement with anterior cervical discectomy and fusion (ACDF) in patients with cervical spondylopathy. Methods Sixteen patients underwent Bryan cervicaldisc replacement (A group) ,and
基金supported by the State Key Program of"Exploring Radar Tomography with Seismic Waves:4D-Mapping the Regional Continental Crustal Structureswith Artificial Seismic Sources"from the National Natural Science Foundation (40730318),China
文摘The temporal-spatial distribution of mid-small earthquakes in Italy and its surroundings from January 1 to April 5,2009 shows that there were significant foreshocks before the moderate L'Aquila earthquake of April 6,2009.The enhancement of frequency and intensity of small earthquakes and their concentrating tendency to the future main shock have provided a comprehensive case for digging methods of earthquake forecasting with foreshocks.
文摘Rice germplasm A total of 208 indica P/TGMS lines were selected for analysis from the National Mid-term Genebank for Rice, Hangzhou, China (Supplemental Table 2), and 100 typical indica and 100 japonica accessions to identify the indica/japonica component of them were also from the National Mid-term Genebank for Rice, Hangzhou, China (Supplemental Table 5).
文摘The aviation industry has seen significant advancements in safety procedures over the past few decades, resulting in a steady decline in aviation deaths worldwide. However, the safety standards in General Aviation (GA) are still lower compared to those in commercial aviation. With the anticipated growth in air travel, there is an imminent need to improve operational safety in GA. One way to improve aircraft and operational safety is through trajectory prediction. Trajectory prediction plays a key role in optimizing air traffic control and improving overall flight safety. This paper proposes a meta-learning approach to predict short- to mid-term trajectories of aircraft using historical real flight data collected from multiple GA aircraft. The proposed solution brings together multiple models to improve prediction accuracy. In this paper, we are combining two models, Random Forest Regression (RFR) and Long Short-term Memory (LSTM), using k-Nearest Neighbors (k-NN), to output the final prediction based on the combined output of the individual models. This approach gives our model an edge over single-model predictions. We present the results of our meta-learner and evaluate its performance against individual models using the Mean Absolute Error (MAE), Absolute Altitude Error (AAE), and Root Mean Squared Error (RMSE) evaluation metrics. The proposed methodology for aircraft trajectory forecasting is discussed in detail, accompanied by a literature review and an overview of the data preprocessing techniques used. The results demonstrate that the proposed meta-learner outperforms individual models in terms of accuracy, providing a more robust and proactive approach to improve operational safety in GA.
基金supported in part by National Natural Science Foundation of China (No.51507100)in part by Shanghai Sailing Program (No.15YF1404600)+1 种基金in part by ‘‘Chen Guang’’ project supported by Shanghai Municipal Education CommissionShanghai Education Development Foundation (No.14CG55)
文摘Due to the stochastic and correlated attributes of natural inflows, the mid-term generation scheduling problem for cascaded hydro systems is a very challenging issue.This paper proposes a novel stochastic optimization algorithm using Latin hypercube sampling and Cholesky decomposition combined with scenario bundling and sensitivity analysis(LC-SB-SA) to address this problem.To deal with the uncertainty of natural inflows, Latin hypercube sampling is implemented to provide an adequate number of sampling scenarios efficiently, and Cholesky decomposition is introduced to describe the correlated natural inflows among cascaded stations.In addition, to overcome the difficulties in solving the objectives of all the scenarios, scenario bundling and sensitivity analysis algorithms are developed to improve the computational efficiency.Simulation results from both two-station and tenstation systems indicate that the proposed method has the merits in accuracy as well as calculation speed for the midterm cascaded hydro generation scheduling.The consideration of natural inflow correlation makes the formulated problem more realistic.
