| 1 | The effect of exposure to normbaric hypoxia on the body weight in rats显示文摘为了确定大鼠的体重是否在标准气压缺氧环境下会减轻,本实验将12只5周龄Wis-tar大鼠移高至海拔2260m并使之持续暴露于含10%O2的低氧小低压舱内(相当于在海拔5000m)20日。在基线每5日测一次体重。由于标准气压缺氧环境可影响血循环功能,所以在大鼠移入高原前后20天,分别对其肺动脉压和血红蛋白浓度进行了测定。基线处体重为(222.4±20.7)g,而与基线处相比。大鼠体重在移高5、10、15和20天后明显下降,分别下降了(4.88±SD)%、(7.67土SD)%、(11.05±SD)%和(11.9±SD)%,差异显著(P<0.05)。基线处大鼠的平均肺动脉压为(21.3±2.5)mmHg,低氧暴露20天后肺动脉压明显增高[(45.3±5.8)mmHg,P<0.001]。血红蛋白浓度在基线处的平均值为(14.5±3.2)g/L,而在低氧暴露20天后明显增加[(22.6±5.4)g/L,P<0.001]。该结果显示,模拟高海拔可使大鼠体重明显下降,这与先前报道的人体试验结果相似。结果也进一步说明,标准气压下持续的低氧环境对肺动脉压和血红蛋白浓度可产生实质性影响。 | Yi Lina Keishi Kubo Ge Rili Benjamin Levine Tony Babb | 2005 | 青海医学院学报2005，26，3： | 6 |
| 2 | Study of the impacts of upstream natural gas market reform in China on infrastructure deployment and social welfare using an SVM-based rolling horizon stochastic game analysis显示文摘Natural gas is expected to play a much more important role in China in future decades, and market reform is crucial for its rapid market penetration. At present, the main gas fields, pipelines and liquefied natural gas(LNG) infrastructure are mainly monopolized by large state-owned companies, and one of the important market reform policies is to open up LNG import rights to smaller private companies and traders. Therefore, in the present study, a game theoretical model is proposed to analyze and compare the impacts of different market structures on infrastructure deployment and social welfare. Moreover, a support vector machine-based rolling horizon stochastic method is adopted in the model to simulate real LNG price fluctuations. Four market reform scenarios are proposed considering different policies such as business separation, third-party access(TPA) and their combinations. The results indicate that, with third-party access(TPA)entrance into the LNG market, the construction of LNG infrastructure will be promoted and more gas will be provided at lower prices, and thus the total social welfare will be improved greatly. | Yan Li Ge Wang Benjamin Mclellan Si-Yuan Chen Qi Zhang | 2018 | Petroleum Science2018，15，4： | 2 |
| 5 | AIWW:a new nutrition-screening tool for the oncologic population显示文摘Malnutrition is a common comorbidity among patients with cancer.However,no nutrition-screening tool has been recognized in this population.A quick and easy screening tool for nutrition with high sensitivity and easy-to-use is needed.Based on the previous 25 nutrition-screening tools,the Delphi method was made by the members of the Chinese Society of Nutritional Oncology to choose the most useful item from each category.According to these results,we built a nutrition-screening tool named age,intake,weight,and walking(AIWW).Malnutrition was defined based on the scored patient-generated subjective global assessment(PG-SGA).Concurrent validity was evaluated using the Kendall tau coefficient and kappa consistency between the malnutrition risks of AIWW,nutritional risk screening 2002(NRS-2002),and malnutrition screening tool(MST).Clinical benefit was calculated by the decision curve analysis(DCA),integrated discrimination improvement(IDI),and continuous net reclassification improvement(c NRI).A total of 11,360 patients(male,n=6,024(53.0%)were included in the final study cohort,and 6,363 patients had malnutrition based on PG-SGA.Based on AIWW,NRS-2002,and MST,7,545,3,469,and1,840 patients were at risk of malnutrition,respectively.The sensitivities of AIWW,NRS-2002,and MST risks were 0.910,0.531,and 0.285,and the specificities were 0.768,0.946,and 0.975.The Kendall tau coefficients of AIWW,NRS-2002,and MST risks were 0.588,0.501,and 0.326,respectively.The area under the curve of AIWW,NRS-2002,and MST risks were0.785,0.739,and 0.630,respectively.The IDI,c NRI,and DCA showed that AIWW is non-inferior to NRS-2002(IDI:0.002(-0.009,0.013),c NRI:-0.015(-0.049,0.020)).AIWW scores can also predict the survival of patients with cancer.The missed diagnosis rates of AIWW,NRS-2002,and MST were 0.09%,49.0%,and 73.2%,respectively.AIWW showed a better nutritionscreening effect than NRS-2002 and MST for patients with cancer and could be recommended as an alternative nutritionscreening tool for this population. | Yi-Zhong Ge Zhen-Ming Fu Qi Zhang Meng-Meng Song Guo-Tian Ruan Xi Zhang Xiao-Wei Zhang Xiang-Rui Li Kang-Ping Zhang Meng Tang Xiao-Yue Liu Ming Yang Tong Liu Hai-Lun Xie He-Yang Zhang Zi-Wen Wang Chun-Lei Hu Shi-Qi Lin Rui Zhang Hong-Xia Xu Wei Li Chun-Hua Song Ming Liu Jun-Qiang Chen Kun-Hua Wang Li Bo Ming-Hua Cong Zeng-Ning Li Zeng-Qin Guo Xiao-Bin Wang Bin-Yan Wang Benjamin Xu Xian-Hui Qin Xi-Ping Xu Rocco Barazzoni Qing-Hua Yao Min Weng Xian Shen Han-Ping Shi The Investigation on Nutrition Status and Clinical Outcome of Common Cancers(INSCOC)Group | 2023 | Science China(Life Sciences)2023，66，8： | 1 |
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