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电力系统脱碳是中国实现“双碳”目标的关键，而氢能可与电力高效互补协同，共同支撑“双碳”目标，这两个复杂系统的协同规划有重要意义。研究建立了一种以h为时间颗粒度的区域电力-氢能系统协同优化规划模型，并应用模型对浙江省电力-氢能系统迈向零碳的协同发展路径进行了优化规划，得到了电力-氢能系统的协同方式，对浙江省及其他区域的“双碳”路径规划有参考意义。优化结果表明，从系统减碳成本优化的角度建议浙江省2040年之前重点进行电力系统脱碳，2040年后进行电力-氢能系统的协同脱碳，且氢能系统主要通过制氢-储氢-应用于非电力行业为电力系统提供灵活性，主要发挥长周期调节作用。

Copyright of Journal of Anhui Agricultural Sciences is the property of Journal of Anhui Agricultural Sciences Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Food Safety & Quality is the property of Journal of Food Safety & Quality Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Pulp & Paper is the property of China Pulp & Paper Magazines Publisher and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Synthetic Crystals is the property of Journal of Synthetic Crystals Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Computer Engineering & Applications is the property of Beijing Journal of Computer Engineering & Applications Journal Co Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Electronic Science & Technology is the property of Electronic Science & Technology Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The distribution of dissolved oxygen (DO) affects the survival of marine organisms. In order to explore the temporal and spatial variation of sea surface DO and oxycline in the Oxygen Minimum Zone (OMZ) of Bay of Bengal (BoB), we investigated the vertical DO distribution from 0 to 200 m in the central BoB using Bio-Argo and remote sensing data from 2013 to 2017. The results showed that the salinity stratification caused by the input of a large amount of runoff and rainfall induced the significant change of the DO in the central BoB, and DO decreased significantly at ~40 m, and dropped to less than 20 μmol·kg-1 within 200 m. The sea surface DO was negatively correlated with the sea surface temperature (r=-0.75). The oxycline depth was significantly correlated with the 23 isotherm and sea level anoma ℃ ly (r=0.93 and 0.81). The surface DO concentration was mainly affected by the surface temperature, and the oxycline depth was mainly controlled by the mesoscale eddies in the OMZ of the BoB. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Mine Automation is the property of Industry & Mine Automation Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Science & Technology of Food Industry is the property of Science & Technology of Food Industry Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

能源互联网生态体系的发展方兴未艾，不断推陈出新，其中电动汽车技术和物联网技术的融合催生了智慧车联网技术，智慧车联网领域可以看作能源互联网概念在传统车联网定义基础上的外延。智慧车联网系统的应用，将有助于减少弃风弃光现象，提高新能源利用率，提升用户体验与收益，促进清洁能源替代和电能替代。车联网技术与能源网、交通网高度融合，将具有巨大的成长空间。针对基于充电网络与车联网平台的能源互联网生态体系进行系统性的梳理，主要包括：多种基础设施网络综合的体系架构、多方参与主体在体系架构下的运行方式、围绕电动汽车业务领域构建的能量信息市场中的交易机制和类型、支撑基于充电网络与车联网平台的生态体系高效运行所需的技术方案。该生态体系中信息和能源的互通与融合，面向多角色的高效便捷的电能调度，面向多场景的能源优化配置和精准控制在文中均有涉及。

Acute-on-chronic liver failure (ACLF) is generally accepted as a clinical syndrome characterized by an acute hepatic insult and rapid deterioration of liver function in patients with pre-existing chronic liver disease in combination with multi-organ failure with high short-term mortality. Because of the differences in etiology and inducement, there are different definitions and diagnostic criteria of ACLF in the East and West. Attempting to cover all ACLF diagnosed, WGO defined ACLF into three categories in 2014: patients with CLD but no cirrhosis (type A), compensated cirrhosis (type B), and decompensated cirrhosis (type C) . However, different types of ACLF have different pathophysiology, which leads to obvious differences in predisposition, injury, response, organ failure and mortality among different types of ACLF. The concept of PIRO, which is similar to that used in determining outcomes of sepsis, is contribute to comprehensively understand different types of HBV-ACLF, improve management. Therefore, it is of great significance to improve the survival rate of ACLF. [ABSTRACT FROM AUTHOR]

Copyright of Transportation Science & Technolgy is the property of Transportation Science & Technology Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Packaging & Food Machinery is the property of Packaging & Food Machinery Magazine and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Zhejiang Electric Power is the property of Zhejiang Electric Power Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In order to quickly and efficiently monitor the outbreaks of Dendrolimus superans, the 8th forest compartment of South Management Office Forest Farm in Heilongjiang Province was taken as the research area, while the Sentinel-2 remote sensing image in 2018 was used as data source to identify the Dendrolimus superans infestation area in the forest compartment. The original spectral features (8), spectral index features (12) and the texture features (8) were extracted from the preprocessed image. Based on ANOVA and XGBoost classifiers, all features were dimensionally reduced and sorted by importance. The ensemble learning classification algorithm (Random Forest classifier and XGBoost classifier) was used to identify pest areas and compare their accuracy. The results showed that: (1) the XGBoost model with the top 14 important features was the most ideal for the identification of pest areas, and the overall accuracy reached to 95% (Kappa coefficient = 86%), which were higher than the 93% of Random Forest (the top 10 features in order of importance); (2) the top 14 feature names were: EVI1, Mean, MTCI, GNDVI, Variance, B4, B2, Homogeneity, B3, CRI1, EVI2, B8, B5 and CRE. This method can achieve efficient identification of Dendrolimus superans infestation areas, which can provide a basis for decision-making on pest control in northeast forest. [ABSTRACT FROM AUTHOR]

Copyright of Chinese Journal of Tissue Engineering Research / Zhongguo Zuzhi Gongcheng Yanjiu is the property of Chinese Journal of Tissue Engineering Research and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Chinese Journal of Liquid Crystal & Displays is the property of Chinese Journal of Liquid Crystal & Displays and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

【目的】比较导管内癌患者高频彩色多普勒超声与X线摄片检查的影像学征象及早期诊断价值。【方法】收集湖州市中心医院55例经手术和病理结果证实为导管内癌患者的临床资料，回顾性分析其影像学资料，包括高频彩色多普勒超声与X线摄片检查，比较两种影像学方法导管内癌影像学征象及其早期诊断价值。【结果】55例患者中，经高频彩色多普勒超声检查具有导管内癌表现28例，诊断准确率为50.9%；经X线摄片检查具有导管内癌表现39例，诊断准确率为70.9%。经统计结果显示，经X线摄片检查对导管内癌诊断准确率较高频彩色多普勒超声检查明显升高（P=0.049）。X线摄片检查诊断肿瘤微钙化的准确率为67.3%，较彩超检查的47.3%明显升高（P=0.034）。结合彩超与X线摄片诊断为导管内癌共43例，诊断准确率明显提高，为78.2%。【结论】乳腺X线摄片对导管内癌的早期诊断价值明显优于高频彩色多普勒超声检查，临床中可联合这两种影像学检查方法以起到优势互补、取长补短的作用，有助于提高对导管内癌的诊断准确率，降低漏诊率。

Copyright of Journal of Clinical Nursing in Practice is the property of Journal of Clinical Nursing in Practice (Editorial Board, Shanghai Jiao Tong University Press) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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Copyright of Systems Engineering & Electronics is the property of Journal of Systems Engineering & Electronics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Sichuan University (Medical Science Edition) is the property of Editorial Board of Journal of Sichuan University (Medical Sciences) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Food Research & Development is the property of Food Research & Development Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Objectives: In order to solve the problem of the accuracy and efficiency of the noise component of the global navigation satellite system (GNSS) coordinate time series, combined with the equivalent conditional adjustment model and the minimum norm quadratic unbiased estimation method, an equivalent conditional closure error minimum norm component estimation method is proposed. Methods: First, we use the equivalent conditional closure error to construct the quadratic variance estimation formula, and combine the conditions of invariance, unbiasedness, and minimum norm criterion to derive the minimum norm estimation formula of the variance-covariance component based on the equivalent conditional closure error. Second, least-squares variance component estimation(LS-VCE) method, minimum norm quadratic unbiased estimate (MINQUE) method and our proposed method are used to calculate the noise amplitude of simulated time series and North American GNSS station coordinate time series respectively, and the calculation time of our method and LS-VCE method are calculated. Results and Conclusions: The estima tion effect of the MINQUE method is consistent, and its calculation time decreases over 70% of the LS)VCE method, which verifies the correctness and the effectiveness of the proposed method. [ABSTRACT FROM AUTHOR]

Copyright of Food Research & Development is the property of Food Research & Development Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Fuzzy Job-Shop scheduling problem is a classic embodiment of complex scheduling, and an excellent scheduling scheme designed for this problem can improve production efficiency. At present, the research on fuzzy Job-Shop scheduling problem mainly focused on single objective, this paper proposed an improved grey wolf optimization（IGWO） algorithm to solve the bi-objective fuzzy flexible Job-Shop scheduling problem to minimize the fuzzy completion time and the total load of fuzzy machines. This algorithm proposed a two-layer coding method to make IGWO discretization, designed a strategy based on HV contribution degree to improve population diversity. Then it used reinforcement learning method to determine global and local search parameters, improved two crossover operators to help individuals evolve in different update modes, and used two-level variable neighborhood and four replacement strategies to improve local search capability. Finally, this paper carried out several groups of experiments on several examples to verify the effectiveness of the improved strategy. In most test cases, the performance of IGWO algorithm is better than the comparison algorithm, with good convergence and distribution. [ABSTRACT FROM AUTHOR]

Copyright of Tunnel Construction / Suidao Jianshe (Zhong-Yingwen Ban) is the property of Tunnel Construction Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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Copyright of Journal of Clinical Hepatology / Linchuang Gandanbing Zazhi is the property of Journal of Clinical Hepatology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Aiming at the problem that most of the current traditional Chinese medicine data mining research uses a single and basic algorithm, a platform (TCM data strategy model analysis platform, TCMDP) that intelligently selects traditional Chinese medicine data mining methods through strategy mode was designed and implemented. According to the idea of the strategy mode, the following four data mining modules were integrated. The statistical analysis module can perform statistical analysis on drugs, drug properties, four natures of drugs, the five flavors, channel tropism and drug efficacy. The association rule mining module can analyze the drug correlation in prescriptions. The cluster analysis module can obtain the combination of drugs to obtain new clustering prescriptions, and explore the compatibility law of lung cancer prescriptions through the analysis results. The syndrome type classification module takes the TCM symptoms and four diagnosis information of the electronic medical record as the input, and the related syndromes as the output, to build a syndrome classification model. To sum up, the intelligent mining platform of traditional Chinese medicine data based on the strategy model was realized, and the platform was used to study the medication rules and syndrome classification of traditional Chinese medicine prescriptions for the clinical treatment of lung cancer. The results show that: taking the lung cancer case of phlegm and blood stasis as an example, the running time of the WD-Get Rule algorithm in the association rule mining module is at least 0. 038 seconds. The CMCDD algorithm in the cluster analysis module has a slightly longer analysis time but the accuracy rate is as high as 87% . The PSO-ELM in the lung cancer syndrome classification analysis module has a short running time of 88. 98 seconds, and the average accuracy rate of the model is 88. 44%, which has a certain clinical reference value. The improved algorithms used in this platform are all better than traditional algorithms, and can intelligently select the best, with higher efficiency and more accurate results; it can be seen that the idea of using the strategy model is effective way to build and realize the intelligent mining platform of traditional Chinese medicine data is the study of traditional Chinese medicine information. [ABSTRACT FROM AUTHOR]

Copyright of Laser Technology is the property of Gai Kan Bian Wei Hui and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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Copyright of Bulletin of the Chinese Academy of Sciences / Chung-kuo ko Hsueh Yuan Yuan Kan is the property of Institutes of Science & Development, Chinese Academy of Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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