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于逢春 대구대학교 인문과학 예술문화연구소 1999 人文科學硏究 Vol.20 No.-
In this paper, we expound the importance of the training ways in the field of teaching Chinese as a foreign language, especially in the intermediate and advanced stages. It is the key for the teacher to know how to train and cultivate the foreign student's parole skills and intercourse abilities, so the teacher should persist in the whole and synthetic principle and combine the training of parole skills with the cultivation of intercourse abilities. It can help the foreign students transfer their knowledges of languages into intercourse abilities. It is necessary to make up the objective materials for training the student's parole skills. This can be systematic and scientific by using computers.
Taguchi Approach for Anti-heat Stress Prescription Compatibility in Mice Spleen Lymphocytes In Vitro
Xiao-yu Zhu,Gui-lin Cheng,Feng-hua Liu,Jin Yu,Yu-jie Wang,Tong-quan Yu,Jian-qin Xu,Ming Wang 대한약학회 2011 Archives of Pharmacal Research Vol.34 No.7
Heat stress (HS) may induce immunosuppression as well as inhibit the proliferation of lymphocytes. This study evaluated the effects on immune function of our prescription on splenic lymphocytes under HS as well as its compatibility. The effects of four herbal extracts from Agastache rugosa, Atractylodes lancea, Cortex Phellodendri, and Gypsum Fibrosum on heat treated splenic lymphocytes were investigated and the compatibility of the prescription was also explored by using the Taguchi method. This study revealed changes in proliferation by traditional Chinese medicines of splenic lymphocytes after HS. Proliferation in the HS group was significantly lower than the control group. Under HS, the effects of higher concentrations of Agastache rugosa (100 and 200 μg/mL), Atractylodes lancea (100 and 200 μg/mL), Cortex Phellodendri (50 and 100 μg/mL) and Gypsum Fibrosum (100 and 200 μg/mL) caused a significant increase on ConA/LPS-induced proliferation of lymphocytes than lower concentrations. We, therefore, conclude that the prescription of traditional Chinese medicines may recover splenic lymphocytes from the immunosuppression induced by HS. The Taguchi design, which allows rapid and high efficiency for the selection of the best conditions for our prescription on HS-treated splenic lymphocytes, demonstrated that Agastache rugosa (200 μg/mL), Atractylodes lancea (200 μg/mL), Cortex Phellodendri (100 μg/mL) and Gypsum Fibrosum (100 μg/mL)were the optimal conditions for the prescription. The validation experiment confirmed that our composition in optimum extraction conditions enhanced effects on ConA or LPS-stimulated lymphocytes under HS. The results showed that the Taguchi optimization approach is a suitable method for optimization of the composition of prescription.
Feng Yu,Yucong Guan,Yuan Fang,Dongang Li 대한토목학회 2021 KSCE JOURNAL OF CIVIL ENGINEERING Vol.25 No.12
The axial compressive behaviors of the PVC-FRP Confined Concrete (PFCC) column-Reinforced Concrete (RC) Beam Joint reinforced with Core Steel Tube (CST) are investigated thoroughly using experimental and numerical methods in this study. The test programme is carried out on nine PFCC column-RC beam joints reinforced with CST (PCRBJ-CST). To systematically investigate the PFCC column-RC beam joints and reasonably design this structural connection components, all specimens are designed by principle of “strong column-weak joint”. Different variable parameters including the stirrup ratio of joint core, joint height, length of CST and reinforcement ratio of CST are considered. The test results demonstrate that, as the design expected, all the specimens fail by crushing of the concrete of joints, while the PFCC columns aren’t damaged. Test results indicate that the stirrup ratio of joint core, joint height and reinforcement ratio of CST have significant impacts on carrying capacity, deformation and stiffness. Subsequently, a verified finite element (FE) model for the PCRBJ-CST under axial load is developed. Additionally, the applicability of existing codes to predict carrying capacity of PCRBJ-CST is evaluated based on experimental data.
Nonlinear Camera Response Functions and Image Deblurring: Theoretical Analysis and Practice
Yu-Wing Tai,Xiaogang Chen,Sunyeong Kim,Seon Joo Kim,Feng Li,Jie Yang,Jingyi Yu,Matsushita, Y.,Brown, M. S. IEEE 2013 IEEE transactions on pattern analysis and machine Vol.35 No.10
<P>This paper investigates the role that nonlinear camera response functions (CRFs) have on image deblurring. We present a comprehensive study to analyze the effects of CRFs on motion deblurring. In particular, we show how nonlinear CRFs can cause a spatially invariant blur to behave as a spatially varying blur. We prove that such nonlinearity can cause large errors around edges when directly applying deconvolution to a motion blurred image without CRF correction. These errors are inevitable even with a known point spread function (PSF) and with state-of-the-art regularization-based deconvolution algorithms. In addition, we show how CRFs can adversely affect PSF estimation algorithms in the case of blind deconvolution. To help counter these effects, we introduce two methods to estimate the CRF directly from one or more blurred images when the PSF is known or unknown. Our experimental results on synthetic and real images validate our analysis and demonstrate the robustness and accuracy of our approaches.</P>
Deep Learning in Genomic and Medical Image Data Analysis: Challenges and Approaches
Yu, Ning,Yu, Zeng,Gu, Feng,Li, Tianrui,Tian, Xinmin,Pan, Yi Korea Information Processing Society 2017 Journal of information processing systems Vol.13 No.2
Artificial intelligence, especially deep learning technology, is penetrating the majority of research areas, including the field of bioinformatics. However, deep learning has some limitations, such as the complexity of parameter tuning, architecture design, and so forth. In this study, we analyze these issues and challenges in regards to its applications in bioinformatics, particularly genomic analysis and medical image analytics, and give the corresponding approaches and solutions. Although these solutions are mostly rule of thumb, they can effectively handle the issues connected to training learning machines. As such, we explore the tendency of deep learning technology by examining several directions, such as automation, scalability, individuality, mobility, integration, and intelligence warehousing.
Constructing ZnCo2O4@CTP microspheres as a high-energy lithium storage material
Yu-Rui Ji,Si-Yu Qi,Jian-Cang Wang,Pengfei Wang,Ning Ren,Ting-Feng Yi 한국공업화학회 2023 Journal of Industrial and Engineering Chemistry Vol.120 No.-
Transition metal oxides are deemed as a promising substitute for graphite anode materials of Li-ion batteries(LIBs) on account of their large specific capacity. Nonetheless, the large volume change in the processof charging and discharging leads to low capacity retention. Herein, a well-designed ZnCo2O4@coaltar pitch based porous carbon (ZCO-CTP) microsphere is prepared to construct the high-performanceanode of LIBs. The coating modification of CTP significantly reduces the polarization and charge transferresistance and improves the migration ability of ions and electrons, thus achieving a superior reversiblecapacity and cycling stability of ZCO-CTP anode. The battery with obtained ZCO-CTP5 provides a largecharge capacity of 406.17 mAh/g at 1000 mA g1 compared with pristine ZCO (only 157.78 mAh/g). Even after 1000 cycles at 1000 mA g1, the battery can achieve a charge/discharge capacity of598.46/601.17 mAh/g. We believe that the application of CTP will provide a new perspective for theexploitation of high-performance anode materials for LIBs.
Approximate Clustering on Data Streams Using Discrete Cosine Transform
Yu, Feng,Oyana, Damalie,Hou, Wen-Chi,Wainer, Michael Korea Information Processing Society 2010 Journal of information processing systems Vol.6 No.1
In this study, a clustering algorithm that uses DCT transformed data is presented. The algorithm is a grid density-based clustering algorithm that can identify clusters of arbitrary shape. Streaming data are transformed and reconstructed as needed for clustering. Experimental results show that DCT is able to approximate a data distribution efficiently using only a small number of coefficients and preserve the clusters well. The grid based clustering algorithm works well with DCT transformed data, demonstrating the viability of DCT for data stream clustering applications.
Yu Feng,Yutao Liu,Mingming Yuan,Guilan Dong,Hongxia Zhang,Tongmei Zhang,Lianpeng Chang,Xuefeng Xia,Lifeng Li,Haohua Zhu,Puyuan Xing,Hongyu Wang,Yuankai Shi,Zhijie Wang,Xingsheng Hu 대한암학회 2022 Cancer Research and Treatment Vol.54 No.3
Purpose To investigate the feasibility of biomarkers based on dynamic circulating tumor DNA (ctDNA) to classify small cell lung cancer (SCLC) into different subtypes. Materials and Methods Tumor and longitudinal plasma ctDNA samples were analyzed by next-generation sequencing of 1,021 genes. PyClone was used to infer the molecular tumor burden index (mTBI). Pre-treatment tumor tissues [T1] and serial plasma samples were collected (pre-treatment [B1], after two [B2], six [B3] cycles of chemotherapy and at progression [B4]). Results Overall concordance between T1 and B1 sequencing (n=30) was 66.5%, and 89.5% in the gene of <i>RB1</i>. A classification method was designed according to the changes of <i>RB1</i> mutation, named as subtype Ⅰ (both positive at B1 and B2), subtype Ⅱ (positive at B1 but negative at B2), and subtype Ⅲ (both negative at B1 and B2). The median progressive-free survival for subtype Ⅰ patients (4.5 months [95%CI: 2.6-5.8]) was inferior to subtype Ⅱ (not reached, p<0.0001) and subtype Ⅲ (10.8 months [95%CI: 6.0-14.4], p=0.002). The median overall survival for subtype Ⅰ patients (16.3 months [95%CI: 5.3-22.9]) was inferior to subtype Ⅱ (not reached, p=0.01) and subtype Ⅲ (not reached, p=0.02). Patients with a mTBI dropped to zero at B2 had longer median overall survival (not reached vs. 19.5 months, p=0.01). The changes of mTBI from B4 to B1 were sensitive to predict new metastases, with a sensitivity of 100% and a specificity of 85.7%. Conclusion Monitoring ctDNA based <i>RB1</i> mutation and mTBI provided a feasible tool to predict the prognosis of SCLC.