Giant fibrovascular polyps of the esophagus and hypopharynx are rare benign esophageal tumors. They arise most commonly in the upper esophagus and may, rarely, originate in the hypopharynx. They can vary significantly...Giant fibrovascular polyps of the esophagus and hypopharynx are rare benign esophageal tumors. They arise most commonly in the upper esophagus and may, rarely, originate in the hypopharynx. They can vary significantly in size. Even though they are benign, they may be lethal due to either bleeding or, rarely, asphyxiation if a large polyp is regurgitated. Patients commonly present with dysphagia or hematemesis. The polyps may not be well visualized on endoscopy and imaging plays a vital role in aiding diagnosis as well as providing important information for preoperative planning, such as the location of the pedicle, the vascularity of the polyp and the tissue elements of the mass. They can also be recurrent in rare cases, especially if the resection margins of the base are involved. We review the recent literature and report a case of a 61-year-old man with a recurrent giant esophageal fibrovascular polyp with illustrative contrast barium swallow, CT and intra-operative images, who required several surgeries via a combination of endoscopic, trans-oral, trans-cervical, trans-thoracic and trans-abdominal approaches.展开更多
The power system controllers normally have more than one parameter.The distinguishability analysis of the controller parameters is to identify whether the optimal set of the parameters of the controllers is unique.It ...The power system controllers normally have more than one parameter.The distinguishability analysis of the controller parameters is to identify whether the optimal set of the parameters of the controllers is unique.It is difficult to obtain the analytic relationship between the objective of the optimization and the controller parameters,which means that the analytical method is not suitable for the distinguishability analysis.Therefore,a trajectory sensitivity based numerical method for the distinguishability analysis of the controller parameters is proposed in this paper.The relationship between the distinguishability and the sensitivities of the parameters is built.The magnitudes of the sensitivities are used to identify the key parameters,while the phase angles of the sensitivities are used to analyze the distinguishability of the key parameters.The distinguishability of the controller parameters of wind turbine with DFIG is studied using the proposed method,and dynamic simulations are performed to verify the results of the distinguishability analysis.展开更多
文摘Giant fibrovascular polyps of the esophagus and hypopharynx are rare benign esophageal tumors. They arise most commonly in the upper esophagus and may, rarely, originate in the hypopharynx. They can vary significantly in size. Even though they are benign, they may be lethal due to either bleeding or, rarely, asphyxiation if a large polyp is regurgitated. Patients commonly present with dysphagia or hematemesis. The polyps may not be well visualized on endoscopy and imaging plays a vital role in aiding diagnosis as well as providing important information for preoperative planning, such as the location of the pedicle, the vascularity of the polyp and the tissue elements of the mass. They can also be recurrent in rare cases, especially if the resection margins of the base are involved. We review the recent literature and report a case of a 61-year-old man with a recurrent giant esophageal fibrovascular polyp with illustrative contrast barium swallow, CT and intra-operative images, who required several surgeries via a combination of endoscopic, trans-oral, trans-cervical, trans-thoracic and trans-abdominal approaches.
基金supported by the National Natural Science Foundation of China(Grant Nos.51137002,51190102)Natural Science Foundation of Jiangsu Province(Grant No.BK2011026)
文摘The power system controllers normally have more than one parameter.The distinguishability analysis of the controller parameters is to identify whether the optimal set of the parameters of the controllers is unique.It is difficult to obtain the analytic relationship between the objective of the optimization and the controller parameters,which means that the analytical method is not suitable for the distinguishability analysis.Therefore,a trajectory sensitivity based numerical method for the distinguishability analysis of the controller parameters is proposed in this paper.The relationship between the distinguishability and the sensitivities of the parameters is built.The magnitudes of the sensitivities are used to identify the key parameters,while the phase angles of the sensitivities are used to analyze the distinguishability of the key parameters.The distinguishability of the controller parameters of wind turbine with DFIG is studied using the proposed method,and dynamic simulations are performed to verify the results of the distinguishability analysis.
