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        • KCI등재SCOPUS

          Thyroid-Associated Orbitopathy: Evaluating Microstructural Changes of Extraocular Muscles and Optic Nerves Using Readout-Segmented Echo-Planar Imaging-Based Diffusion Tensor Imaging

          Huan-Huan,Chen,Hao,Hu,Wen,Chen,Dai,Cui,Xiao-Quan,Xu,Fei-Yun,Wu,Tao,Yang 대한영상의학회 2020 Korean Journal of Radiology Vol.21 No.3

          Objective: We aimed to investigate the ability of readout-segmented echo-planar imaging (rs-EPI)-based diffusion tensor imaging (DTI) in assessing the microstructural change of extraocular muscles (EOMs) and optic nerves in patients with thyroidassociated orbitopathy (TAO) as well as in evaluating disease activity. Materials and Methods: We enrolled 35 TAO patients and 22 healthy controls (HCs) who underwent pre-treatment rs-EPIbased DTI. Mean, axial, and radial diffusivity (MD, AD, and RD) and fractional anisotropy (FA) of the medial and lateral EOMs and optic nerve for each orbit were calculated and compared between TAO and HC groups and between active and inactive TAO groups. Factors such as age, sex, disease duration, mediation, and smoking history between groups were also compared. Logistic regression analysis was used to evaluate the predictive value of significant variables for disease activity. Results: Disease duration was significantly shorter in active TAOs than in inactive ones (p < 0.001). TAO patients showed significantly lower FA and higher MD, AD, and RD than HCs for both medial and lateral EOMs (p < 0.001), but not the AD value of lateral EOMs (p = 0.619). Active patients had significantly higher FA, MD, and AD than inactive patients for medial EOMs (p < 0.005), whereas only FA differed significantly in the lateral EOMs (p = 0.018). The MD, AD, and RD of optic nerves were significantly lower in TAO patients than HCs (p < 0.05), except for FA (p = 0.129). Multivariate analysis showed that the MD of medial EOMs and disease duration were significant predictors for disease activity. The combination of these two parameters showed optimal diagnostic efficiency for disease activity (area under the curve, 0.855; sensitivity, 68.4%; specificity, 96.9%). Conclusion: rs-EPI-based DTI is promising in assessing microstructural changes of EOMs and optic nerves and can help to indicate the disease activity of TAO, especially through the MD of medial EOMs.

        • Improvement of TAOS data process

          이동욱,변용익,장서원,김대원,Lee,,Dong-Wook,Byun,,Yong-Ik,Chang,,Seo-Won,Kim,,Dae-Won,TAOS,Team,,TAOS,Team 한국천문학회 2011 天文學會報 Vol.36 No.2

          We have applied an advanced multi-aperture indexing photometry and sophisticated de-trending method to existing Taiwanese-American Occultation Survey (TAOS) data sets. TAOS, a wide-field ($3^{\circ}{\times}3^{\circ}$) and rapid photometry (5Hz) survey, is designed to detect small objects in the Kuiper Belt. Since TAOS has fast and multiple exposures per zipper mode image, point spread function (PSF) varies in a given image. Selecting appropriate aperture among various size apertures allows us to reflect these variations in each light curve. The survey data turned out to contain various trends such as telescope vibration, CCD noise, and unstable local weather. We select multiple sets of stars using a hierarchical clustering algorithm in such a way that the light curves in each cluster show strong correlations between them. We then determine a primary trend (PT) per cluster using a weighted sum of the normalized light curves, and we use the constructed PTs to remove trends in individual light curves. After removing the trend, we can get each synthetic light curve of star that has much higher signal-to-noise ratio. We compare the efficiency of the synthetic light curves with the efficiency of light curves made by previous existing photometry pipelines. Our photometric method is able to restore subtle brightness variation that tends to be missed in conventional aperture photometric methods, and can be applied to other wide-field surveys suffering from PSF variations and trends. We are developing an analysis package for the next generation TAOS survey (TAOS II) based on the current experiments.

        • Extraskeletal Ewing Sarcomas in Late Adolescence and Adults: A Study of 37 Patients

          Tao,,Hai-Tao,Hu,,Yi,Wang,,Jin-Liang,Cheng,,Yao,Zhang,,Xin,Wang,,Huan,Zhang,,Su-Jie Asian Pacific Organization for Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.5

          Background: Extraskeletal Ewing sarcoma (EES)/primitive neuroectodermal tumours (PNET) are rare soft tissue sarcomas. Prognostic factors and optimal therapy are still unconfirmed. Materials and Methods: We performed a retrospective analysis on patients to explore the clinic characteristics and prognostic factors of this rare disease. A total of 37 patients older than 15 years referred to our institute from Jan., 2002 to Jan., 2012 were reviewed. The characteristics, treatment and outcome were collected and analyzed. Results: The median age was 28 years (range 15-65); the median size of primary tumours was 8.2 cm (range 2-19). Sixteen patients (43%) had metastatic disease at the initial presentation. Wide surgical margins were achieved in 14 cases (38%). Anthracycline or platinum-based chemotherapy was performed on 29 patients (74%). Radiotherapy was delivered in 13 (35%). At a median follow-up visit of 24 months (range 2-81), the media event-free survival (EFS) and overall survival (OS) were 15.8 and 30.2 months, respectively. The 3-year EFS and OS rates were 24% and 43%, respectively. Metastases at presentation and wide surgical margins were significantly associated with OS and EFS. Tumour size was significantly associated with OS but not EFS. There were no significant differences between anthracycline and platinum based chemotherapy regarding EFS and OS. Conclusions: EES/PNET is a malignant tumour with high recurrence and frequent distant metastasis. Multimodality therapy featuring wide surgical margins, aggressive chemotherapy and adjuvant local radiotherapy is necessary for this rare disease. Platinum-based chemotherapy can be used as an adjuvant therapy.

        • KCI등재SCOPUS

          Inhibition of MicroRNA-15a/16 Expression Alleviates Neuropathic Pain Development through Upregulation of G Protein-Coupled Receptor Kinase 2

          ( Tao Li ), ( Yingchun Wan ), ( Lijuan Sun ), ( Shoujun Tao ), ( Peng Chen ), ( Caihua Liu ), ( Ke Wang ), ( Changyu Zhou ), ( Guoqing Zhao ) 한국응용약물학회 2019 Biomolecules & Therapeutics(구 응용약물학회지) Vol.27 No.4

          There is accumulating evidence that microRNAs are emerging as pivotal regulators in the development and progression of neuropathic pain. MicroRNA-15a/16 (miR-15a/16) have been reported to play an important role in various diseases and inflammation response processes. However, whether miR-15a/16 participates in the regulation of neuroinflammation and neuropathic pain development remains unknown. In this study, we established a mouse model of neuropathic pain by chronic constriction injury (CCI) of the sciatic nerves. Our results showed that both miR-15a and miR-16 expression was significantly upregulated in the spinal cord of CCI rats. Downregulation of the expression of miR-15a and miR-16 by intrathecal injection of a specific inhibitor significantly attenuated the mechanical allodynia and thermal hyperalgesia of CCI rats. Furthermore, inhibition of miR-15a and miR-16 downregulated the expression of interleukin-1β and tumor-necrosis factor-αin the spinal cord of CCI rats. Bioinformatic analysis predicted that G protein-coupled receptor kinase 2 (GRK2), an important regulator in neuropathic pain and inflammation, was a potential target gene of miR-15a and miR-16. Inhibition of miR-15a and miR-16 markedly increased the expression of GRK2 while downregulating the activation of p38 mitogen-activated protein kinase and NF-κB in CCI rats. Notably, the silencing of GRK2 significantly reversed the inhibitory effects of miR-15a/16 inhibition in neuropathic pain. In conclusion, our results suggest that inhibition of miR-15a/16 expression alleviates neuropathic pain development by targeting GRK2. These findings provide novel insights into the molecular pathogenesis of neuropathic pain and suggest potential therapeutic targets for preventing neuropathic pain development.

        • KCI등재

          Nickle nanoparticles highly dispersed on reduced graphene oxide for ammonia decomposition to hydrogen

          Tao,Meng,Tie-Zhen,Ren,Qian-Qian,Xu,Yin-Tao,Li,Jian-Li,Chang,Zhong-Yong,Yuan 한국공업화학회 2015 Journal of Industrial and Engineering Chemistry Vol.32 No.-

          The Ni/reduced graphene oxide catalysts are synthesized by an in situ hydrothermal method, using thegraphene oxide as the support precursor. The textural and structural properties of the prepared Ni/reduced graphene oxide catalysts are characterized by X-ray diffraction, scanning and transmissionelectron microscopy, thermogravimetric analysis, H2-Temperature-programmed reduction, andelectrochemical impedance spectroscopy. The catalytic performances of the prepared Ni/reducedgraphene oxide catalysts for ammonia decomposition display the enhanced activity. The effect ofreduced graphene oxide support and the influence of nickel content on catalytic activity are evaluated,and the Ni/reduced graphene oxide catalysts exhibit higher catalytic activity than reduced grapheneoxide support and the pure NiO. The ammonia has a conversion of 81.9% and 27.4 mmol/min gcat H2 rateat 700 8C when the 10%-Ni/reduced graphene oxide catalyst used.

        • KCI등재SSCI

          Predicting digital informal learning: an empirical study among Chinese University students

          Tao He,Chang,Zhu,Frederik,Questier 서울대학교 교육연구소 2018 Asia Pacific Education Review Vol.19 No.1

          Although the adoption of digital technology has gained considerable attention in higher education, currently research mainly focuses on implementation in formal learning contexts. Investigating what factors influence students' digital informal learning is still unclear and limited. To understand better university students' digital informal learning (DIL), this study proposed a model based on decomposed theory of planned behavior to investigate students' behavioral intention to DIL. Different aspects of DIL behavior were further explored, through examining behaviors of cognitive learning, metacognitive learning, and social and motivation learning. This study also integrated digital competence as a new construct into the model, along with other variables to test the proposed model. A sample of 335 students selected from three universities in China took part in this study. The partial least square structural equation modeling was applied to analyze the data. The results provide support and better understanding for the importance of motivation factors such as digital competence and compatibility to explain students' DIL.

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