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| 1 | SUBJECTIVE TINNITUS AS FIRST PRESENTATION IN A PATIENT WITH METASTATIC LUNG CANCER IN TEMPORAL BONE-A CASE REPORT显示文摘Metastasis of lung cancer to the temporal bone is a very rare disease and subjective tinnitus as the presenting symptom in these patients is even rarer. Here we report a case in which a 42-year-old male presented with subjective tinnitus of three months, with no pulmonary disease symptoms. Pure tone audiometry indicated moderate conductive deafness in left ear with an air-bone gap of 21.3 dB. HRCT temporal bone scanning indicated high-density shadows in the left epitympanic cavity, sinus tympani and mastoid cavity. Chronic otitis media with cholesteatoma was suspected and surgical treatment recommended. However, preoperative chest x- ray revealed high- density millet lesions scattered widely in both lungs. HRCT lung scanning confirmed the lungs lesions and indicated lung cancer. In order to determine correlations between the temporal bone and pulmonary lesions, a CT- guided trans- mastoid aspiration biopsy and immunohistochemical study were conducted, which confirmed that the temporal bone lesion was metastatic from the lungs. The patient was given a series of chemotherapy immediately and his tinnitus significantly improved after three months of treatment, with full recovery of his hearing and complete resolution of shadows in the mastoid cavity. Unfortunately, he subsequently developed multiple bone metastases in the 9th month and cerebral metastasis in the 18th month. Multiple organ failure resulted in death in 2.5 years. | ZHANG Jing WANG Hongtian JIA Jingjie XIAO Yueyong SHI Huaiyin YANG Weiyan | 2013 | Journal of Otology2013，8，2： | 2 |
| 2 | Sequential Fusion of Dissimilar Sensor Data Based on IAC Algorithm显示文摘 | Wang Yueyong Yang Weiqin Ge Xiyuan | 1996 | Proceedings of ICSP1996，，： | 1 |
| 3 | Selective Learning for Strategic Bidding in Uniform Pricing Electricity Spot Market显示文摘In an electricity market,power producers’profits are determined by the market price instead of the regulated price.Therefore,the producers should be cautious in strategic bidding,for which prediction-based approaches are widely used and have been proved effective for many areas.However,in a uniform pricing market,the market environment is so complicated,which is primarily due to the complexity of the participants’interaction,that even the strategies based on machine learning algorithms,which are generally considered as outstanding nonlinear prediction methods,may sometimes lead to unsatisfactory results.Therefore,a selective learning scheme for strategic bidding is proposed to ensure greater effectiveness.The proposed scheme is based on an ensemble technique,where several machine learning algorithms serve as the underlying algorithms to predict the price and generate a bidding recommendation.As the clearing iteration progresses,the most fitting ones will be chosen to dominate the bidding strategy.Considering the characteristics of the electricity market,the prediction method used in the selective learning scheme is modified to achieve higher accuracy.Simulation studies are presented to demonstrate the effectiveness of the proposed scheme,which leads to more reasonable bidding behaviors and higher profits. | Yueyong Yang Tianyao Ji Zhaoxia Jing | 2021 | CSEE Journal of Power and Energy Systems2021，7，6： | 1 |
| 4 | Perioperative anesthetic management of interrupted aortic arch associated with severe pulmonary hypertension in a young adult: case report and review of the literature显示文摘The interrupted aortic arch (IAA) is rare congential heart defect and entails a very poor prognosis without surgical treatment. We describe a young adult patient with IAA associated with severe pulmonary hypertension and discuss the perioperative anesthetic management of single-stage surgical correction in this patient. Preoperative anesthetic preparation with better understanding of the malformation, intraoperative hemodynamic monitoring, and adequate alveolar ventilation in the perioperative period were all important factors contributing to a successful outcome. | Zhong Hejiang Huang Jing Yang Tiande Qi Yueyong | 2011 | Journal of Medical Colleges of PLA(China)2011，26，5： | 0 |
| 5 | Impact of Long-Term Transactions on Strategic Bidding in the Electricity Market显示文摘Power producers'profits are determined by the market price in the electricity market and therefore they will adopt certain strategies in market transactions to achieve higher profits.In an electricity spot market that adopts uniform pricing,power producers with considerable generation capacity are able to exercise their market power,given that the market concentration is relatively high at the beginning of market reform.It has been proved that an effective bidding strategy can increase the market clearing prices,so as to increase the profits of the power producer.Fortunately,the introduction of long-term transactions may mitigate the impact of producers'market power,as a great amount of long-term volume is settled at the long-term contract price,which is determined in advance and is less fluctuating than the spot price.Two forms of long-term transactions,the fixed volume contract and the varied volume contract,are studied in this paper.Simulation studies are conducted on a multi-agent platform,where both the long-term and spot transactions of power producers are included,and the total profits of a power producer with or without long-term transactions are analyzed to demonstrate their influence.Meanwhile,the results clearly show that long-term transactions can effectively prevent power producers from exercising market power. | Tianyao Ji Yueyong Yang Zhaoxia Jing | 2023 | CSEE Journal of Power and Energy Systems2023，9，6： | 0 |
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