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Copyright of Shipin Kexue/ Food Science is the property of Food Science 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.)

Brain metastases from lung cancer are the most common secondary malignant tumors of central nervous system. The current treatment consensus is removing the tumor tissue to the greatest extent within the safe range through surgery, postoperative chemotherapy and local or systemic radiotherapy, but the therapeutic effect is still not satisfactory. Patient derived xenograft models can better preserve the stromal heterogeneity, histological characteristics and molecular diversity of the patient's primary tumor, and can provide new ideas and new research tools for the study of new therapeutic methods. This article reviews the establishment of transplanted tumor model, the application research of the model in lung cancer brain metastases and the limitation and prospect of the model. [ABSTRACT FROM AUTHOR]

Copyright of Oil Drilling & Production Technology / Shiyou Zuancai Gongyi is the property of Shiyou Zuancai Gongyi Bianjibu 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.)

Objective To investigate the expression of long non-coding RNA Linc00645 in glioma tissues and its effect on the proliferation, invasion and migration of glioma cells, and to explore its possible mechanisms. Methods The expression of Linc00645 in normal brain tissues and glioma tissues in The Cancer Genome Atlas (TCGA-GBM) database and the Chinese Glioma Genome Atlas (CGGA) database were analyzed, and quantitative Real-Time Polymerase Chain Reaction (qRT-PCR) was used to verify the expression in Normal Human Astrocyte and 5 glioma cell lines. After knocking down the expression of Linc00645, MTT assay was used to detect the proliferation capacity of the glioma cells, and the wound healing assay and the Transwell assay were conducted to evaluate the migration and invasion ability of the cells. Western Blot was performed to verify the effect of Linc00645 knockdown on the invasion and migration-related proteins of glioma cells at the protein level. Results The expression of Linc00645 in glioma tissues was significantly higher than that in normal brain tissues (P<0.05), and the expression of Linc00645 increased along with the advance of the pathological grade of glioma (P<0.05). In the Linc00645 high expression group, the overall survival period was significantly shorter and the prognosis was worse (P<0.05). After inhibiting the expression of Linc00645, the proliferation, invasion and migration ability of glioma cells were significantly reduced. The Pearson correlation analysis showed that EMTlike related markers N-cadherin, Vimentin and zinc finger E-box binding homeobox 1 (ZEB1 were positively correlated with Linc00645, while E-cadherin was negatively correlated with Linc00645 ( P<0.05). The expression of E-cadherin increased, while the expression of N-cadherin, Vimentin and ZEB1 significantly decreased after knocking down the expression Linc00645. Conclusions Long non-coding RNA Linc00645 is highly expressed in glioma tissues, and its expression is closely related to the malignancy of the tumor. Linc00645 could increase the expression of N-cadherin, Vimentin and ZEB1 to enhance the invasion and migration ability of glioma cells. Therefore, Linc00645 may serve as a new target for early diagnosis and treatment of glioma. [ABSTRACT FROM AUTHOR]

Copyright of Lubrication Engineering (0254-0150) is the property of Editorial Office of LUBRICATION ENGINEERING 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 Lubrication Engineering (0254-0150) is the property of Editorial Office of LUBRICATION ENGINEERING 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.)

For the accuracy and real-time performance of multiple input multiple output (MIMO) nonlinear time-delay system, this paper propose the identification scheme based on multi-dimensional Taylor Network (MTN). It use MTN as an identification model. MTN identification model’s learning algorithm adopts the WE-CG algorithm, which combines the weight-elimination (WE) algorithm with the conjugate gradient (CG) algorithm. WE algorithm can simplify the structure of MTN model so as to reduce computational complexity and improve the real-time performance. Finally, there are two experimental examples containing a numerical example and a project one to verify the effectiveness of the proposed identification scheme. And use the traditional MTN identification scheme to compare. Both the accuracy and the computational complexity analysis illustrate the accuracy and the real-time performance of the proposed scheme. Results from the experiments and comparison show that the proposed scheme can identify the MIMO nonlinear time-delay system accurately, and the proposed identification scheme has a simpler structure and lower computational complexity than the traditional MTN identification scheme. [ABSTRACT FROM AUTHOR]

At present, the academic circles generally describe the temporal point process by modeling the intensity function using recurrent neural network (RNN). However, this kind of model can't capture the long-range dependence between event sequences, and the specific parameter form of the intensity function will limit the generalization ability of the model. In order to solve these problems, this paper proposed a temporal point process self-attention generation model without intensity function. The model used Wasserstein distance to construct the objective function, which was convenient to measure the deviation between the model distribution and the real distribution, and used the self-attention mechanism to describe the impact of historical events on current events, so that the model was interpretable and had stronger robustness. Comparative experiments show that, in the absence of prior knowledge of intensity function, the deviation of QQ graph slope and empirical intensity deviation of this method reduce 35 . 125% and 24. 200% respectively compared with RNN generation model and maximum likelihood model, which proves the effectiveness of the proposed model. [ABSTRACT FROM AUTHOR]

The gold nanomaterial is prepared by a chemical reduction method, and with sodium citrate as a reducing agent, chloroauric acid is reduced by heating to obtain an aqueous solution of gold nanoparticles. Using ultraviolet-visible absorption spectroscopy, the influence of preparation process parameters on product size and product generation rate is studied. The results show that the concentration ratio of reactants, the order of reactants and the pH of the solution affect the size of the product to acertain extent, and the holding temperature, holding time and stirring rate have a greater influence on the rate of product formation. Here, the related factors influencing the formation process of gold nanoparticles are analyzed. [ABSTRACT FROM AUTHOR]

Copyright of Progress in Modern Biomedicine is the property of Publishing House of Progress in Modern Biomedicine 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.)