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Modified GMDH networks for oilfield production prediction
Jia Guo,Wei Huang,Qiong Mao,Xudong Wang,Xinying Wang,Tao Song 한국자원공학회 2018 Geosystem engineering Vol.21 No.4
The self-organizing Group Method of Data Handling (GMDH) functional network is effective in predicting oilfield production. During operation the division of data sample depending on artificial classification cannot lead to global optimum in great probability and the variables are probably eliminated early in the iterative process in traditional GMDH algorithm. Recent years, GMDH model has been improved through many artificial intelligent models, but few people take the optimization of the model structure into account. In this paper, different training and testing set grouping and the effects of variables transmission were studied. The modified GMDH algorithm was optimized using the original variables preservation method and the random sample method, which was applied to the oilfield production forecasting simulation. The results of the modified GMDH algorithm, the traditional GMDH algorithm, ANNs and the empirical equations for predicting annual oil production were compared. The simulative results indicated that the modified GMDH model was the best tool for data-fitting with lowest error (RMSE = 13.9440, MAPE = 0.1121 and SI = 0.0378) and highest accuracy (R = 0.9984).
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Duan, Mengqi,Wang, Zhenmei,Guo, Xinying,Wang, Kejun,Liu, Siyuan,Zhang, Bo,Shang, Peng Asian Australasian Association of Animal Productio 2021 Animal Bioscience Vol.34 No.5
Objective: Tibetan pigs, predominantly originating from the Tibetan Plateau, have been subjected to long-term natural selection in an extreme environment. To characterize the metabolic adaptations to hypoxic conditions, transcriptomic and proteomic expression patterns in the livers of Tibetan and Yorkshire pigs were compared. Methods: RNA and protein were extracted from liver tissue of Tibetan and Yorkshire pigs (n = 3, each). Differentially expressed genes and proteins were subjected to gene ontology and Kyoto encyclopedia of genes and genomes functional enrichment analyses. Results: In the RNA-Seq and isobaric tags for relative and absolute quantitation analyses, a total of 18,791 genes and 3,390 proteins were detected and compared. Of these, 273 and 257 differentially expressed genes and proteins were identified. Evidence from functional enrichment analysis showed that many genes were involved in metabolic processes. The combined transcriptomic and proteomic analyses revealed that small molecular biosynthesis, metabolic processes, and organic hydroxyl compound metabolic processes were the major processes operating differently in the two breeds. The important genes include retinol dehydrogenase 16, adenine phosphoribosyltransferase, prenylcysteine oxidase 1, sorbin and SH3 domain containing 2, ENSSSCG00000036224, perilipin 2, ladinin 1, kynurenine aminotransferase 1, and dimethylarginine dimethylaminohydrolase 1. Conclusion: The findings of this study provide novel insight into the high-altitude metabolic adaptation of Tibetan pigs.
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Jing Lu,Lijun Liu,Jianliang Zhu,Xinying Guo 대한심장학회 2017 Korean Circulation Journal Vol.47 No.4
Background and Objectives: For the present study, we investigated the factors that influence the quality of standardized treatment for patients with post–cardiac arrest syndrome (PCAS) to improve the quality of PCAS treatment. Subjects and Methods: We collected data on patients with cardiac arrest (CA) who were admitted to the intensive care units (ICUs) of 11 hospitals-Class II Grade A or above-in Suzhou from January to October 2013. Indexes of standardized treatment were observed within 72 hrs of CA. We analyzed monitoring techniques, monitoring frequency, ICU human and material resources, and intensivists’ knowledge of PCAS treatment to explore how those factors affected the management of patients with PCAS. Results: The bed/nurse ratio and the frequency with which core temperature was recorded correlated closely with the implementation of therapeutic hypothermia (TH) within 6 hrs of CA. The bed/doctor ratio and intensivists’ knowledge about PCAS correlated closely with high-quality blood glucose control within 6 hrs of CA. Furthermore, the frequency with which core temperature was recorded was an independent factor influencing the quality of TH implementation, and the number times blood gas was analyzed was an independent factor influencing how well partial pressure of carbon dioxide was kept within the normal range in the 6 hrs after CA. Conclusion: The frequency of core temperature measurements and the number of times blood gas is analyzed are the most important factors influencing the quality of standardized treatment for patients with PCAS.
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