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为了促进九香虫油脂的开发，采用单因素实验和正交实验对索氏抽提法提取九香虫油脂的工艺条件进行了优化，并采用CCK-8法检测九香虫油脂对小鼠乳腺癌细胞4T1和人乳腺癌细胞HCC1937增殖的影响。结果表明：九香虫油脂的最佳提取条件为液料比6∶ 1、提取温度90 ℃、提取时间3 h，在此条件下九香虫油脂提取率为（44.270±1.679）%；4、8、12、16 mg/mL九香虫油脂作用24 h，均能抑制两种乳腺癌细胞的增殖，且对于人乳腺癌细胞HCC1937的作用效果优于小鼠乳腺癌细胞4T1；另外，九香虫油脂处理导致两种乳腺癌细胞形态及数量均发生明显变化。综上，九香虫油脂对乳腺癌细胞具有显著抑制作用。 In order to promote the development of the oil from Aspongopus chinensis Dallas, single factor experiment and orthogonal experiment were used to optimize the extraction conditions of A. chinensis Dallas oil by Soxhlet extraction method. Meanwhile, CCK-8 method was used to detect the effects of the extracted oil on the proliferation of mouse breast cancer cells 4T1 and human breast cancer cells HCC1937. The results showed that the optimal extraction conditions of A. chinensis Dallas oil were obtained as follows: liquid-solid ratio 6∶ 1, extraction temperature 90 ℃, extraction time 3 h. Under the optimal conditions, the extraction rate of oil was (44.270±1.679)%. The A. chinensis Dallas oil with the mass concentration of 4, 8, 12, 16 mg/mL treating for 24 h could inhibit the proliferation of two types of breast cancer cells, and the effect on human breast cancer cells HCC1937 was better than that on mouse breast cancer cells 4T1. Moreover, the morphology and quantity of the two types of cells were significantly changed by A. chinensis Dallas oil treatment. In summary, A. chinensis Dallas oil obtained has a significant inhibitory effect on breast cancer cells 4T1 and HCC1937 in vitro.

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Copyright of Journal of Kunming Medical University / Kunming Yike Daxue Xuebao is the property of Kunming Medical Journal 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 Kunming Medical University / Kunming Yike Daxue Xuebao is the property of Kunming Medical Journal 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.)

人类适转理论起源于人类科学和存在主义现象学思想。人类适转理论以现象学的哲学观和 “整体人”思想为基础,认为护理学是一门人性化的科学,以艺术的方式描述各项护理工作,以另一个视角观察 和解释人类经验。该文主要阐述 Parse人类适转理论的主要观点、3个原则、哲学假设及相关的概念,同时介绍 了Parse人类适转理论的两种基础研究方法和一种应用研究方法,回顾了人类适转理论在我国护理领域中的发 展与应用,对其在临床实践、护理教育、护理管理等领域方面的应用进行了总结,为 Parse人类适转理论在我国 护理领域中的继续发展和推广提供参考. [ABSTRACT FROM AUTHOR]

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The performance pay policy is the most noticeable hotspot and difficult issue in the current reform of elementary and secondary education in China and the United States. From the perspective of policy process analysis, this paper compares the similarities and differences in the implementation background, scope, resource, path and effectiveness of the performance pay policies for primary and secondary school teachers in China and the United States, and finds that the performance pay policy in the United States has been implemented for more than 30 years in order to promote teachers ’ development and improve students ’ academic performance, the assessment-based implementation plan has been carried out in no more than half schools due to various forms, diversified implementation funding channels, and value-oriented differences between government and teacher groups. In China, the performance pay policy for primary and secondary school teachers has been implemented since 2009. It has been rapidly promoted from top to bottom with the goal of improving teachers ’ salary and rewards for excellent performance, the implementation funds are clear, teachers have higher policy acceptance, but have objections to the scientific nature and fairness of the policy goal and program. The comprehensive benefits of the teacher performance pay policies in both countries have not achieved the expected goal, which requires profound reflection and improvement. [ABSTRACT FROM AUTHOR]

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To solve the problems of subjective and empirical decision-making optimization of mining method and equipment selection, this paper studied the geological adaptability of thin seam mining equipment, and established the complementary swallowtail catastrophe model based on security reasons, the complementary butterfly catastrophe model considering the economic factor, the reasonable degree and the coal seam geology, and the noncomplementary cusp catastrophe model referring to productivity of labor. The adaptability of mining equipment is obtained by analyzing the actual case. The study shows that the selection method of catastrophe decision-making for thin seam mining equipment is feasible. [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.)

The traditional human ear recognition algorithm showed low recognition rate on ear image block，noise and multiprofile ear. In recent years，sparse representation have made great achievements in the field of pattern recognition. However， sparse degree of solution is the main factors to decide sparse classifier recognition accuracy. Sparse estimation was the estimation of the non-zero elements in the sparse vector，namely vector L0 norm. Therefore, this paper introduced L0 norm sparse constraint into the study of human ear sparse classification algorithm. In summary, this paper took the characteristic of the human ear which had a strong robust posture change of approach over complete dictionary, then used OMP algorithm for L0 questions and joined the sparse constraint from the perspective of the optimized sparse to improve the human ear sparse classification algorithm. It improves the ear recognition efficiency. [ABSTRACT FROM AUTHOR]

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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.)