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| 1 | Cytotoxic,apoptotic and antioxdi-dant activity of the essential oil of Amomum tsao - ko 显示文摘 | Yang Y Yue Y Runwei Y | 2010 | Biore-sour Technol2010，101，11： | 1 |
| 2 | Cytotoxlc and antioxidant ac- tivity of the essential oil of Amomumm tsao-ko显示文摘 | Yang Y Yue Y Runwei Y | 2010 | Bioresour Technol2010，101，11： | 1 |
| 3 | Cytotoxie, apoptptic and antioxidant activity of the essential oil of Amomum tsao-ko显示文摘 | Yang Yang Yang Yue Yah Runwei | 2010 | Bioresource Technology2010，，101： | 1 |
| 4 | Cytotoxic, apoptptic and antioxidant activity of the essential oil of Arnomum tsao-ko显示文摘 | YANG YANG YANG YUE YAN RUNWEI | 2010 | Bioresource Technology2010，，101： | 1 |
| 5 | Achieving a high magnetization in sub-nanostructured magnetite films by spin-flipping of tetrahedral Fe3. cations显示文摘Magnetite Fe304 (ferrite) has attracted considerable interest for its exceptional physical properties: It is predicted to be a semimetallic ferromagnetic with a high Curie temperature, it displays a metal-insulator transition, and has potential oxide-electronics applications. Here, we fabricate a high-magnetization (〉 1 Tesla) high-resistance (-0.1 Ωcm) sub-nanostructured (grain size 〈 3 nm) Fe304 film via grain-size control and nano-engineering. We report a new phenomenon of spin- flipping of the valence-spin tetrahedral FeB* in the sub-nanostructured Fe304 film, which produces the high magnetization. Using soft X-ray magnetic circular dichroism and soft X-ray absorption, both at the Fe L3,2- and O K-edges, and supported by first-principles and charge-transfer multiple calculations, we observe an anomalous enhancement of double exchange, accompanied by a suppression of the superexchange interactions because of the spin-flipping mechanism via oxygen at the grain boundaries. Our result may open avenues for developing spin- manipulated giant magnetic Fe304-based compounds via nano-grain size control. | Tun Seng Herng Wen Xiao Sock Mui Poh Feizhou He Ronny Sutarto Xiaojian Zhu Runwei Li Xinmao Yin Caozheng Diao Yang Yang Xuelian Huang Xiaojiang Yu Yuan Ping Feng AndrivoRusydi Jun Ding | 2015 | Nano Research2015，8，9： | 0 |
| 6 | Single-cell analyses identify anaphase-promoting complex subunit 11 as a switch controlling neuronal differentiation of glioblastoma cells显示文摘Glioblastoma(GBM)is the most common and lethal malignancy in the central nervous system.1 One of the major difficulties in treatment is that the initial clinical diagnosis of GBM is already WHO grade IV,without recognizable lower-grade precursor lesions.Copy number variations(CNVs)were found to appear in malignant cells several years before the initial diagnosis of GBM.2 Less differentiation and more aggressive phenotypes were observed in GBM cells with a higher degree of CNVs.3 Additionally,CNVs provide more accurate stratification of clinical outcomes than does the WHO grade system.4 Therefore,we reasoned that differentially expressed genes(DEGs)among GBM cells with different CNV statuses would be significant for the aggressiveness of GBM.Here we leveraged the single-cell RNA-sequencing(scRNA-seq)to construct the CNV profile of GBM at single-cell resolution,divided GBM cells into different clusters according to their CNV statuses,and investigated the molecular functions of DEGs among GBM clusters.Through a series of experiments,we identified anaphase-promoting complex subunit 11(ANAPC11)as a switch controlling the neuronal differentiation of GBM cells,providing a novel alternative for the development of differentiation-inducing therapy to overcome GBM. | Runwei Yang Ziyu Wang Songtao Qi Bowen Ni Jinglin Guo Kaishu Li Haimin Song Sidi Xie Yunxiao Zhang Xirang Wang Chunmao He Guanglong Huang Yawei Liu | 2023 | Genes & Diseases2023，10，5： | 0 |
| 7 | Enhancing direct-path relative transfer function using deep neural network for robust sound source localization显示文摘This article proposes a deep neural network(DNN)-based direct-path relative transfer function(DP-RTF)enhancement method for robust direction of arrival(DOA)estimation in noisy and reverberant environments.The DP-RTF refers to the ratio between the directpath acoustic transfer functions of the two microphone channels.First,the complex-value DP-RTF is decomposed into the inter-channel intensity difference,and sinusoidal functions of the inter-channel phase difference in the time-frequency domain.Then,the decomposed DP-RTF features from a series of temporal context frames are utilized to train a DNN model,which maps the DP-RTF features contaminated by noise and reverberation to the clean ones,and meanwhile provides a time-frequency(TF)weight to indicate the reliability of the mapping.The DP-RTF enhancement network can help to enhance the DP-RTF against noise and reverberation.Finally,the DOA of a sound source can be estimated by integrating the weighted matching between the enhanced DP-RTF features and the DP-RTF templates.Experimental results on simulated data show the superiority of the proposed DP-RTF enhancement network for estimating the DOA of the sound source in the environments with various levels of noise and reverberation. | Bing Yang Runwei Ding Yutong Ban Xiaofei Li Hong Liu | 2022 | CAAI Transactions on Intelligence Technology2022，7，3： | 0 |
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