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      • KCI등재후보

        디아스포라에 대한 반대: 문화 생산 장소로서의 사이노폰

        스수메이 ( Shih¸ Shu-mei ) 성균관대학교 성균중국연구소 2021 중국사회과학논총 Vol.3 No.2

        이 글은‘중국과 중국성의 주변’(the margins of China and Chineseness)에 있는 중국어파 언어(Sinitic language)의 문화와 공동체에 대한 연구다. 이 장은 포스트식민 연구, 초국적 연구, 글로벌 연구, 중국 연구 그리고 에스닉(ethnic) 연구의 교차점에 위 치한 사이노폰 연구(華語語系硏究)를 위한 공간을 분석하려는 광범하고도 계획적인 시도이다. 여기서‘중국과 중국성의 주변’은 구체적으로 또는 일반적으로 수세기에 걸친 이주와 정주의 역사적 과정을 거치면서 지정학적 한족 땅(geopolitical China proper) 바깥과 세계의 많은 지역에 있는 사이노폰 문화들을 위치 지우기 위한 것으로 이해할 수 있다. 또한 사이노폰 문화는 지배적인 한족 문화의 도입으로 인해 동화에서부터 지배적 언어인 한어에 대한 반(反)식민지적 저항에 이르기까지 다양한 반응을 초래했던 중국 내 비(非)한족 문화로 이해되기도 한다. 그러므로 사이노폰 연구는 모두 본질적으로 비교적이고 초국적이지만, 때와 장소 또는 연구대상과 특별한 관계를 맺기도 한다. 이런 의미에 기초하여 이 장은 문학에만 초점을 맞추지 않고 내가 잘못된 범주라고 생각하는‘중국인 디아스포라’(the Chinese diaspora)에 대한 분석과 비판을 통해 사이노폰 연구의 광범한 윤곽을 제시하고자 한다. This chapter is a broad, programmatic piece to parse out a space for Sinophone studies (huayu yuxi yanjiu), situated at the intersection of postcolonial studies, transnational studies, global studies, Chinese studies, and ethnic studies, as the study of Sinitic language cultures and communities on the margins of China and Chineseness. Here, “the margins of China and Chineseness” is understood not only specifically but also generally to locate those Sinophone cultures situated outside the geopolitical China proper and in many parts of the world through historical processes of (im)migration and settlement spanning several centuries; it is also understood as those non-Han cultures within China where the imposition of the dominant Han culture has elicited numerous responses, from assimilation to anticolonial resistance in the dominant language, Hanyu. Sinophone studies as a whole is therefore inherently comparative and transnational, but it is everywhere attentive to the specificity of time and place of its different objects of study. In this spirit, this chapter does not focus explicitly on literature, but lays out the broad contours of Sinophone studies through an analysis and critique of what I consider to be the misconceived category of “the Chinese diaspora.”

      • KCI등재

        Effect of Surface Treatment on Properties of Carbon Fiber and Glass Fiber Hybrid Reinforced Composites

        Shumei Lou,Guodong Ren,Hui Zhang,Baojia Cheng,Peng Chen 한국섬유공학회 2022 Fibers and polymers Vol.23 No.11

        Carbon fiber composites have excellent properties and can be used in automobile, aircraft, rail transit and otherfields of lightweight, but Its price is very expensive. For reducing the cost and improving the comprehensive properties ofmaterials which contain carbon fiber composites and used in the fields mentioned above, carbon fiber (CF) and glass fiber(GF) were mixed to replace pure carbon fiber composites. Three different methods were used to treat the surface of carbonfiber (ultrasonic surface cleaning, liquid phase oxidation of concentrated nitric acid and ultrasonic combined concentratednitric acid oxidation) and different contents of silane coupling agent KH-550 (0 %, 0.2 %, 0.5 %, 1.0 %) were used to treatthe glass fiber, and the laminated plate was prepared by Vacuum Assisted Resin Transfer Molding (VARTM). The CF/GFhybrid composite laminates were prepared by combining the best surface treatment method and the best stacking scheme ofcarbon fiber and glass fiber. The tests of mechanical properties and the observation of SEM fracture morphology show that,the surface treatment of CF by ultrasonic combined concentrated nitric acid oxidation is the best; mechanical properties of GFreinforced composite were the best when surface treatment was carried out with 0.5 % silane coupling agent; Compared withthe untreated samples, the mechanical properties of CF/GF hybrid composite laminates after surface treatment wereimproved, the thickness and weight are reduced. Thus, the weight reduction and better performances were achieved.

      • KCI등재

        Effect of GZO thickness and annealing temperature on the structural, electrical and optical properties of GZO/Ag/GZO sandwich films

        Shumei Song,Tianlin Yang,Yanqing Xin,Lili Jiang,Yanhui Li,Zhiyong Pang,Maoshui Lv,Shenghao Han 한국물리학회 2010 Current Applied Physics Vol.10 No.2

        The GZO/Ag/GZO sandwich films were deposited on glass substrates by RF magnetron sputtering of Gadoped ZnO (GZO) and ion-beam sputtering of Ag at room temperature. The effect of GZO thickness and annealing temperature on the structural, electrical and optical properties of these sandwich films was investigated. The microstructures of the films were studied by X-ray diffraction (XRD). X-ray diffraction measurements indicate that the GZO layers in the sandwich films are polycrystalline with the ZnO hexagonal structure and have a preferred orientation with the c-axis perpendicular to the substrates. For the sandwich film with upper and under GZO thickness of 40 and 30 nm, respectively, it owns the maximum figure of merit of 5.3 × 10-2 Ω-1 with a resistivity of 5.6 × 10-5 Ω cm and an average transmittance of 90.7%. The electrical property of the sandwich films is improved by post annealing in vacuum. Comparing with the as-deposited sandwich film, the film annealed in vacuum has a remarkable 42.8% decrease in resistivity. The sandwich film annealed at the temperature of 350 ℃ in vacuum shows a sheet resistance of 5 Ω/sq and a transmittance of 92.7%, and the figure of merit achieved is 9.3 × 10-2 Ω-1.

      • A Short-term Prediction for QoS of Cloud Manufacturing Based on Improved Support Vector Regression Algorithm

        Shumei Liu 보안공학연구지원센터 2016 International Journal of u- and e- Service, Scienc Vol.9 No.6

        Cloud manufacturing combined with information manufacturing, the Internet of things(IoT), cloud computing, and semantic web technology. Through extending and changing the service technology and network manufacturing, it makes the manufacturing resources and manufacturing capabilities virtualization and servicization. It can make centralized and unified intelligent management for manufacturing. Therefore, the establishment of appropriate cloud manufacturing QoS(quality of service) model is the basis and prerequisite for the development of related research of cloud manufacturing. The existing QoS model ignored the effect of time on QoS. This directly leads to the lack of accuracy of modeling, and further affects the implementation effect of the follow-up study on the prediction, service selection and so on. With cloud manufacturing evaluation criteria, this paper proposes a five dimensional QoS evaluation criteria and the corresponding calculation formula, it is consistent with the cloud manufacturing background. Secondly, we establish the QoS prediction model based on the support vector machine with arbitrary penalty band. This model can cover the shortage for the previous studies, and effectively solve the problem of the dimension of QoS prediction in cloud manufacturing. Thirdly, this paper predicts 5 important QoS indexes. The experimental data from a cloud manufacturing provider's historical data, and the experimental use a large number of historical QoS value to train the support vector machine with arbitrary penalty band. Network training is terminated when the coefficient is greater than 0.995. Then, the QoS value of the seven nodes in the future is predicted by the QoS value of the sample data set. Finally, the experiment shows that the support vector regression machine with arbitrary penalty has a good prediction effect on QoS of cloud manufacturing. But the artificial neural network and the gray forecast model has poor effect on it.

      • KCI등재

        Effects of Extrusion Temperature on the Properties of a 0.5 wt.% GNP/Al Composite in Porthole Die Extrusion

        Shumei Lou,Yiming Li,Baojia Cheng,Lingwei Ran,Yue Wang,Leyao Xu,Ben Ma,Chungjian Su,Qingbiao Wang 대한금속·재료학회 2023 METALS AND MATERIALS International Vol.29 No.12

        A 0.5 wt% GNP/Al composite was prepared by powder metallurgy and hot pressing. The numerical simulations and experimentsof porthole die extrusion were performed at 440 °C, 460 °C, 480 °C and 500 °C. The effect of extrusion temperatureon the microstructure and mechanical properties of the composites was studied. The results showed that the composite nearthe welding zone underwent dynamic recrystallization due to the large strain to form fine grains, some of which grew tocoarse grains because of the local high temperature. The extrusion temperature influenced the properties of the 0.5 wt%GNP/Al composite along both the extrusion and transverse directions. This influence is combined with synergistic effectson the recrystallization of the grain, fluidity and plasticity of the matrix, determined by the delamination, distribution andstructure of graphene and welding behavior in the welding zone. Therefore, the comprehensive mechanical properties ofthe composite reached the highest values in the extrusion direction and the transverse direction at 460 °C; the TEM imagesshowed that the graphene and aluminum matrix were in contact with each other via a small wavy transition overlapping zoneor that interaction forces caused by welding and shearing allowed the formation of a direct interface with the Al matrix. Thedeformed graphene formed a good interface with the matrix, ensuring outstanding mechanical properties in the welding zone.

      • Effects of Armillaria mellea polysaccharides (AMP) on letrozole-induced polycystic ovary syndrome (PCOS) in rats

        Shumei Zhong,Wanying Li,Zixian Wang,Haokun Chen,Yaqi Wu,Chaojie Chong,Zhewen Dong,Jia-Le Song 한국식품영양과학회 2021 한국식품영양과학회 학술대회발표집 Vol.2021 No.10

        To investigate the effects of AMP on letrozole-induced PCOS rats. All SD rats were randomly divided into normal, PCOS, metformin group (Met, 265 mg/kg) and AMP group (1 g/kg) and weighed every three days. After 21 days of continuous administration, oral glucose tolerance test was performed, and the blood glucose(BP) level was measured. After execution, calculate the relative weight of bilateral ovaries. Serum levels of FSH, LH, E2, T and FINS were detected by ELISA assay. Serum levels of TC, TG, HDL-C and LDL-C were detected by the kit and calculated the LH/FSH ratio and HOMA-IR level. Compared with the normal group, body weight and relative weight of ovaries, BP level and serum levels of T, LH, LH/FSH ratio, FINS, HOMA-IR, TC, TG, LDL-C, and E2, FSH, HDL-C in model group increased. Compared with the PCOS group, body weight in the Met group and AMP group was lower, BP level and serum levels of T, LH, FINS, HOMA-IR and LDL-C in the Met group and AMP group were significantly lower and the level of HDL-C was higher. Armillaria mellea polysaccharides can improve hormone disturbance, glucose metabolism and abnormal lipid level in letrozole-induced polycystic ovary syndrome model rats.

      • Application of BP Neural Network Model based on Particle Swarm Optimization in Enterprise Network Information Security

        Shumei liu 보안공학연구지원센터 2016 International Journal of Security and Its Applicat Vol.10 No.3

        The development of network technology has brought convenience to people's life, but also provides the convenience for the virus, Trojan and other destructive programs to attack the network. Then, the computer network security is becoming more and more dangerous. Accurately and scientifically predict the risk of network, it can effectively prevent the risk, and reduce the loss caused by the problem of computer network security. Computer network security is an early warning problem of multi index system. So, the traditional linear forecasting method cannot accurately describe the impact of each index on the evaluation results, and the accuracy of the prediction results is low. In order to improve the prediction accuracy of computer network security, this paper presents a new forecasting method for computer network security. Firstly, the evaluation index of computer network security is selected by expert system, and the weight of evaluation index is determined by the expert scoring method. Secondly, we put the index weight into the BP neural network, and use the BP neural network to learn it. Then, the parameters of BP neural network are optimized by the improved particle swarm optimization algorithm. After that, this paper uses a method based on the Fibonacci method principle to find the number of hidden layer node which has the best fitting ability. Finally, we use this algorithm to predict the network security of a certain enterprise in the next six months. The score is 0.67, 0.84, 0.72, 0.87, 0.86 and 0.91, which is close to the actual value of network security.

      • KCI등재

        Characterization of anorthite-based porcelain prepared by using wollastonite as a calcium source

        Shumei Wang,Xiaoling Qi,Jilin Hu,Xiuying Tian 한양대학교 세라믹연구소 2015 Journal of Ceramic Processing Research Vol.16 No.3

        The porcelain based on anorthite (CaO • Al2O3 • 2SiO2) has been developed using wollastonite (CaO • SiO2) as a calcium source. The slip casting was applied to obtain green body with high-strength. The sintering behaviors of the green specimens were evaluated by determining linear shrinkage, water absorption, bulk density and flexural strength. It was found that the anorthite porcelain fired at 1215 o C had excellent technical properties such as water absorption: 0.00% and flexural strength: 109.5 MPa. X-ray diffraction (XRD) and scanning electron microscopy (SEM) analysis results showed the high flexural strength was due to the densification of microstructures and the formation of high crystalline content in the porcelain body. In addition, thermal expansion performance and appearance quality of the final product were discussed.

      • Study on female reading from the perspective of reading promotion

        ( Pang Shumei ) 인문사회과학예술융합학회 2020 인문사회과학예술융합학회지 Vol.4 No.1

        female readers are one of the important objects of reading promotion, but at present, the reading of female readers in China is not valued, and there are few reading promotion activities for female readers. Female reading has the status quo of less reading time and entertainment. This paper studies the current situation of female reading, analyzes its reasons, and gives the corresponding strategies of library reading promotion through the content of female reading.

      • KCI등재

        Dose-Response Relationship between Alanine Aminotransferase Levels within the Reference Interval and Metabolic Syndrome in Chinese Adults

        Peipei Wu,Shumei Wang,Qicai Chen,Lili Chen,Pengpeng Zhang,Juan Xiao,Xiaoxiao Chen,Meng Liu 연세대학교의과대학 2017 Yonsei medical journal Vol.58 No.1

        Purpose: Elevation in serum alanine aminotransferase (ALT) levels is a biomarker for metabolic syndrome (MS); however, the relationshiphas not been fully investigated within the reference interval of ALT levels. Our objective was to explore the relationship between serum ALT levels within the reference interval and MS in Chinese adults. Materials and Methods: This cross-sectional study included 16028 adults, who attended routine health check-ups at Shengli OilfieldCentral Hospital from January 2006 to March 2012. The reference interval of serum ALT level was defined as less than 40 U/L. Logistic regression models and restricted cubic spline were used to evaluate the association of ALT with MS. Results: The prevalence of MS in the total population was 13.7% (6.4% for females and 18.4% for males). Multiple logistic regressionshowed that ALT levels were positively associated with MS after adjustment for potential confounding factors. The odds ratio of MS in the top quartile was 4.830 [95% confidence interval (CI): 2.980–7.829] in females and 3.168 (95% CI: 2.649–3.790) in males, compared with the ALT levels in the bottom quartile. The restricted cubic spline models revealed a positive non-linear dose-response relationship between ALT levels and the risk of MS in women (p for nonlinearity was 0.0327), but a positive linear dose-response relationship in men (p for nonlinearity was 0.0659). Conclusion: Serum ALT levels within the reference interval are positively associated with MS in a dose-response manner. ElevatedALT levels, even within the reference interval, may reflect early dysmetabolic changes.

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