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随着配电网中新能源装机规模的扩大，会带来配网负荷峰谷差增大及新能源消纳困难等问题。储能具有“低储高发”的特性，其已经被认为是削峰填谷、提高新能源消纳能力的有效手段。但目前储能成本仍较高，故如何配置储能并对其进行经济性评估分析是重要的。为此，综合考虑储能系统参与削峰填谷、提高新能源消纳能力的两种应用场景，计及套利收益、环境效益、政府补贴、投资建设成本和年运行维护成本等多维因素，建立储能系统的经济性评估总模型，通过算例对两种场景进行经济性分析。结果表明，在削峰填谷场景中，得到了不同电价差下，储能收益最大时的最优配置。在提高新能源消纳能力场景中，确定了在所设条件下，新能源消纳比例超过66%时储能系统开始盈利。

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Copyright of Xinjiang Agricultural Sciences is the property of Xinjiang Agricultural Sciences 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.)

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Copyright of Yellow River is the property of Editorial Board of Yellow River 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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To screen out the key genes affecting lung adenocarcinoma (LUAD) through bioinformatics methods, and to analyze their biological functions and the influences on the LUAD prognosis. Methods The GSE118370 and GSE136043 chip data were downloaded from the Gene Expression Omnibus(GEO) Database. The LUAD-related data were selected from the The Cancer Genome Atlas(TCGA) Database. R software was used to analyze the co-expressed differentially expressed genes (DEGs)； clusterProfile R package was utilized for Gene Ontology (GO) functional enrichment analysis； DAVID Database was used for the Kyoto Gene and Genome Encyclopedia (KEGG) signaling pathway enrichment analysis； STRING Database was used to construct the protein-protein interaction (PPI) network； Cytoscape was used to screen out the top 10 key genes； GEPIA Database and Human Protein Atlas(HPA) Database were used to analyze the expressions of key genes mRNA and protein in normal lung tissue and LUAD tissue, and their expressions in LUAD tissues with different stages；immune infiltration analysis and survival analysis were used to analyze the correlation between the expressions of key genes and the survival time of the patients. Results In total, 428 DEGs were screened out. The GO functional analysis results showed that the DEGs of LUAD were mainly enriched in biological process(BP) such as epithelial-mesenchymal transition (EMT), cellular component(CC) such as the cell base, and molecular function(MF) such as extracellular matrix (ECM) structure formation.The KEGG signaling pathway analysis results showed that the DEGs of LUAD were mainly enriched in the pathways like cytokine receptor interactions.topoisomerase Ⅱ alpha(TOP2A), abnormal spindle microtubule assembly(ASPM), cyclin B1, (CCNB1), cell division cycle associated 8(CDCA8), baculoviral IAP repeat containing 5(BIRC5), aurora A(AURKA), kinesin family member 20A(KIF20A), centrosomal protein 55(CEP55), centromere protein F(CENPF), and targeting protein for xklp2(TPX2) were selected as the key genes. Compared with normal lung tissue, the expression levels of TOP2A, CCNB1, CDCA8, BIRC5, AURKA, KIF20A, CEP55, CENPF, and TPX2 mRNA in lung tissue of the LUAD patients were increased (P<0.01), and the expression levels of TOP2A, CCNB1, CDCA8, BIRC5, AURKA, KIF20A, CEP55, CENPF, and TPX2 proteins were increased. There were significant differences in the expression levels of CCNB1, CDCA8, BIRC5, AURKA, KIF20A, CEP55, and TPX2 mRNA in the LUAD tissue with different stages (P<0.01). Compared with the LUAD patients with stage Ⅰ, stage Ⅱ, and stage Ⅲ, the expression levels of CCNB1, CDCA8, AURKA, KIF20A, CEP55, and TPX2 mRNA in lung tissue of the LUAD patients with stage Ⅳ were increased(P<0.01)； compared with the LUAD patients with stage Ⅰ, stage Ⅱ, and stage Ⅳ, the expression level of BIRC5 mRNA in lung tissue of the LUAD patients with stage Ⅲ was increased (P<0.01). The expressions of 10 key genes were negatively correlated with the B-lymphocyte infiltration (－0.253≤r≤－0.014, P<0.01)； the expressions of TOP2A, ASPM, CDCA8, BIRC5, CEP55, CENPF, and TPX2 were positively correlated with the neutrophil infiltration (0.049≤r≤0.165, P<0.01)； the expressions of CCNB1 and AURKA were negatively correlated with the CD4 T lymphocyte, macrophage, and dendritic cell infiltration -0.210≤r≤－0.100, P<0.01). The high expression of CDCA8 increased the risk of LUAD deterioration (P<0.01), and the high expressions of TOP2A, CCNB1, CDCA8, BIRC5, AURKA, KIF20A, CEP55, CENPF, and TPX2 increased the death risk of the patients(P<0.01). Conclusion TOP2A, ASPM, CCNB1, CDCA8, BIRC5, AURKA, KIF20A, CEP55, CENPF, and TPX2 are the key genes involved in the development and progression of LUAD. They may promote the development of LUAD by accelerating the EMT process, and their high expressions suggest the poor prognosis and elevate the death risk of the LUAD patients. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Shanghai Jiao Tong University (1006-2467) is the property of Journal of Shanghai Jiao Tong University 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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According to the pathogenesis theory of traditional Chinese medicine(TCM), toxin pathogen is an important factor in the onset and progression of malignant tumors. The TCM syndrome manifested by the accumulation of toxin invading the human body is called “toxin syndrome”. “Toxin syndrome” belongs to the concept of TCM syndrome and contains a set of TCM syndromes such as “wind-toxin syndrome” and “dampness-toxin syndrome”. These “toxin syndromes” may be subdivided according to the nature of different pathogenic factors as independent pathogenic syndromes with independent connotations that exist in parallel with “wind syndrome”, “dampness syndrome”,and other pathogenic syndromes. However, how to accurately identify a specific “toxin syndrome” in clinical practice remains an important problem that needs to be solved. “ Cancerous toxin pathogenesis theory” claims that “cancerous toxin” is the core pathogenesis of malignant tumors and also the specific etiological and pathological product affecting the onset and progression of tumor diseases. “Cancerous toxin” has rich connotations, and this concept is at the level of disease differentiation rather than TCM syndrome differentiation, which renders it dissimilar to the “toxin syndrome” in cancer patients. This paper sorts out and analyzes the concept of “toxin syndrome” and “cancerous toxin”, supplements and improves the concept of “toxin syndrome” in the theory of syndrome elements, and also provides a theoretical basis and reference for identification of “toxin syndrome” in malignant tumors. [ABSTRACT FROM AUTHOR]

Chinese spelling error correction is a task to detect and correct spelling errors in text. Most Chinese spelling errors are the misuse of semantically, phonetically or morphologically similar characters, so it is common to extract features for mode-ling different modalities. However, the direct fusion of different features or summation using fixed weights prevent the model from learning in an efficient way by ignoring the importance relationship between the information of different modalities and the bias of the model in identifying errors. This paper proposed a new model to improve this problem, called the Chinese error correction algorithm based on the fusion of text sequence error probability and Chinese spelling error probability. The method used the text sequence error probability as the dynamic weight and the common Chinese spelling error probability as the fixed weight to efficiently fuse semantic, phonetic and morphologic information. The model was able to reasonably control the inflow of different modal information into the mixed modal representation and learnt more specifically where the errors occurred. Experiments conducted on the SIGHAN benchmark show that all evaluation scores of the proposed model are improved on different datasets, which validates the feasibility of the algorithm. [ABSTRACT FROM AUTHOR]

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The existing underground coal mine personnel positioning methods always have a large positioning error,and it is difficult to meet the needs of coal mine accident rescue,transportation,and electromechanical accident prevention and control.To improve the accuracy of underground coal mine personnel positioning,an underground coal mine accurate personnel positioning method based on asynchronous time-measuring was proposed:some locating substations are installed at certain distance in the underground roadway to ensure that the two neighboring locating substations can communicate with each other wirelessly and the positioning card can communicate with two neighboring locating substations at the same time.Any one initial locating substation sends a ranging signal to the positioning card and the neighboring locating substation in the communication range.The neighboring locating substation receives the ranging signal and at the same time it sends a ranging signal to the positioning card.The positioning card replies response signals to the initial locating substation and the neighboring locating substation separately.After receiving the response signal replied from the positioning card,the initial locating substation calculates the time between sending and receiving the ranging signal.After receiving the response signal replied from the positioning card,the neighboring substation calculates the time between sending and receiving the ranging signal,and sends the time to the initial locating substation.According to the time between sending and receiving the ranging signal calculated by the initial locating substation and the neighboring substation separately,and the distance and signal transmission speed between the initial locating substation and the neighboring substation,the initial locating substation calculates the distance between the positioning card and the initial locating substation and the distance between the positioning card and the neighboring substation.Measuring distance using the underground coal mine accurate personnel positioning method based on asynchronous time-measuring is only related to the time of sending and receiving ranging signal from the substation and not related to the signal strength.The accuracy of positioning is not affected by the signal transmission power,receiving sensitivity and signal transmission attenuation.The underground coal mine accurate personnel positioning method based on asynchronous time-measuring is not related to the clock of the positioning card,which greatly reduces the complexity and cost of positioning cards,eliminates the need for synchronization between locating substations,and reduces the complexity and cost of locating substations.The main performance indicators of the underground coal mine accurate personnel positioning method based on asynchronous time-measuring are superior to other underground coal mine positioning methods.Simulation experiments show that under the same experimental conditions such as the same clock frequency offset,the positioning error of other underground coal mine accurate personnel positioning methods such as TWR and SDS-TWR is more than twice of the positioning error of the underground coal mine accurate personnel positioning method based on asynchronous time-measuring. [ABSTRACT FROM AUTHOR]