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Objective: To explore and analyze the value of quantitative and semi-quantitative parameters of dynamic contrast enhanced-magnetic resonance imaging (DCE-MRI) in the differential diagnosis of benign and malignant cervical tumors. Methods: A total of 51 patients with cervical tumor who were treated in our hospital from April 2017 to October 2019 were recruited as the research subjects. All patients underwent conventional MRI plain scan and DCE-MRI examination. With histopathological results as the gold standard, the participants were classified into a malignant tumor group (n = 36) and a benign tumor group (n = 15) on the basis of the nature of the cervical tumor. The difference of quantitative and semi-quantitative parameters of DCE-MRI between the two groups was compared, and the specificity, sensitivity, negative and positive predictive values of quantitative and semi-quantitative parameters in differentiating benign from malignant cervical tumors were analyzed to evaluate the value of quantitative and semi-quantitative parameters of DCE-MRI in the differential diagnosis of benign and malignant cervical tumors. Results: The quantitative parameters Kep, Ktrans and Ve of DCE-MRI in the malignant-tumor-group were critically higher than that in the benign tumor group (P

Big-data mining brings new challenges and opportunities for engineering design, such as customer-needs mining, sentiment analysis, knowledge discovery, etc. At the early phase of conceptual design, designers urgently need to synthesize their own internal knowledge and wide external knowledge to solve design problems. However, on the one hand, it is time-consuming and laborious for designers to manually browse massive volumes of web documents and scientific literature to acquire external knowledge. On the other hand, how to extract concepts and discover meaningful concept associations automatically and accurately from these textual data to inspire designers’ idea generation? To address the above problems, we propose a novel data-driven concept network based on machine learning to capture design concepts and meaningful concept combinations as useful knowledge by mining the web documents and literature, which is further exploited to inspire designers to generate creative ideas. Moreover, the proposed approach contains three key steps: concept vector representation based on machine learning, semantic distance quantification based on concept clustering, and possible concept combinations based on natural language processing technologies, which is expected to provide designers with inspirational stimuli to solve design problems. A demonstration of conceptual design for detecting the fault location in transmission lines has been taken to validate the practicability and effectiveness of this approach.

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The projective test is not only helpful to find the potential psychological crisis, but also to overcome the language barrier and make up for the deficiency of the questionnaire test to a certain extent.In this study, 403 college students (205 Tibetan students and 198 Han students) from a national college were selected to test their mental health with Symptom Checklist-90 (SCL-90) and House-Tree-Person test (HTP).By comparing the results of questionnaire test and drawing projection test, it is found that SCL-90 and HTP test are significantly related to the positive screening results of four factors: Somatization, Depression, Anxiety and Phobic Anxiety. Both HTP test and SCL-90 test results show that the scores of Somatization, Depression, Anxiety and Phobic Anxiety of Tibetan and Han college students were significantly different; the scores of Anxiety and Phobic Anxiety of different gender college students were significantly different. Using HTP test as a supplementary test of questionnaire test can effectively improve the accuracy of screening.

Sideband-resolved coupling between multiple photonic nanocavities and propagating mechanical waves in microwave Ku-band is demonstrated. Coherent and strong photon-phonon interaction is manifested with optomechanically induced transparency and absorption, and phase-coherent interaction in multiple cavities. Inside an echo chamber it is shown that a phonon pulse can interact with an embedded nanocavity for multiple times. Our device provides a scalable platform to optomechanically couple phonons and photons for microwave photonics and quantum photonics., Comment: 16 pages, 5 figures

Gu Jiegang devoted the energies of his lifetime to researching and debating many of the major books and records of ancient China, and advocated the well-known theory of "doubting of antiquity in order to discriminate the false" (yigu bianwei). The objective of the project was to give the ancient writings back their true features, revealing the true spirit of China's traditional culture, and preventing the latter from being confused and corrupted by false theories. His achievements are clear and indisputable. Just as the venerable Guo [Moruo] once said: "He has, by and large, laid bare the falsities of old historical materials" (Zhongguo gudai shehui yanjiu: Xia Yu de wenti [A study of China's ancient society: The issue of Xia and Yu]).

The theory about aggregation of induction motor loads connected to different bus bars in distribution network is studied in this paper. A new method for aggregating induction motor loads is presented. The values of the equivalent circuit parameters of the aggregate induction motor are determined by the two operating conditions, i.e., no-load and locked-rotor conditions. The effectiveness and feasibility of the proposed method is verified with the simulation results of the distribution network in the Changsha grid.