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| 1 | Learning deep representations for semantic image parsing: a comprehensive overview显示文摘 | Lili HUANG Jiefeng PENG Ruimao ZHANG Guanbin LI Liang LIN | 2018 | Frontiers of Computer Science2018，12，5： | 2 |
| 2 | Description of space charge transport in oil‐paper insulation using adaptive time‐stepping transient upstream finite element method显示文摘The charge transport and accumulation in oil-paper can cause the insulation degradation.So far,the most widely used model to simulate space charge transport and accumulation is the bipolar charge transport(BCT)model,which can well simulate the space charge dynamics.However,there are two shortcomings in the algorithms for solving the BCT model.One is that there is almost no use of vectorisation technology,which may increase the complexity of the algorithm,the other is the usage of fixed step size which might bring extra computation cost.In view of this,an adaptive time‐stepping transient up-stream finite element method(FEM)is developed to solve the BCT model considering trapping/detrapping,as well as the recombination phenomenon under DC condition in this article.Then,a vectorisation technology is used in the method to optimise the al-gorithm.Moreover,the adaptive time‐stepping method is introduced in simulation to reduce computation time and calculation amount.Simulation results are obtained by programing and later presented,which are basically consistent with the corresponding experimental results.Therefore,the proposed method is expected to promote the opti-mization design of the oil-paper insulation system. | Jiefeng Liu Mingchen Shi Yiyi Zhang Bing Gao Wei Zhang Shuo Liang | 2022 | High Voltage2022，7，1： | 0 |
| 3 | A survey of data-driven approach on multimedia QoE evaluation显示文摘With the development of mobile communication technology and the growth of mobile device,the requirements for user quality of experience (QoE)become higher and higher.Network operators and content providers are interested in QoE evaluation for improving users'QoE.However,multimedia QoE evaluation faces severe challenges due to the subjective properties of the QoE.In this paper,we provide a survey of the state of the art about applying data-driven approach on QoE evaluation.Firstly,we describe the way to choose factors influencing QoE.Then we investigate and discuss the strengths and shortcomings of existing machine learning algorithms for modeling and predicting users'QoE. Finally,we describe our research work on how to evaluate QoE in imbalanced dataset. | Ruochen HUANG Xin WEI Liang ZHOU Chaoping LV Hao MENG Jiefeng JIN | 2018 | Frontiers of Computer Science2018，12，6： | 0 |
| 4 | Perfluorinated iodine alkanes promote the differentiation of mouse embryonic stem cells by regulating estrogen receptor signaling显示文摘Investigating the development toxicity of perfuorinated iodine alkanes(PFIs)is critical,given their estrogenic effects through binding with estrogen receptors(ERs).In the present study,two PFIs,including dodecafuoro-1,6-diiodohexane(PFHx DI)and tridecafuorohexyl iodide(PFHx I),with binding preference to ERαand ERβ,respectively,were selected to evaluate their effects on proliferation and differentiation of the mouse embryonic stem cells(m ESCs).The results revealed that,similar to E_(2),50μmol/L PFHx DI accelerated the cell proliferation of the m ESCs.The PFI stimulation at the exposure concentrations of 2–50μmol/L promoted the differentiation of the m ESCs as characterized by the upregulation of differentiation-related biomarkers(i.e.,Otx2 and Dnmt3β)and downregulation of pluripotency genes(i.e.,Oct4,Nanog,Sox2,Prdm14 and Rex1).Comparatively,PFHx DI exhibited higher induction effect on the differentiation of the m ESCs than did PFHx I.The tests on ER signaling indicated that both PFI compounds induced exposure concentration-dependent expressions of ER signaling-related biomarkers(i.e.,ERα,ERβand Caveolin-1)in the m ESCs,and the downstream ER responsive genes(i.e.,c-fos,c-myc and c-jun)well responded to PFHx I stimulation.The role of ER in PFI-induced effects on the m ESCs was further validated by the antagonistic experiments using an ER inhibitor(ICI).The findings demonstrated that PFIs triggered ER signaling,and perturbed the differentiation program of the m ESCs,causing the potential health risk during early stage of development. | Zhihua Ren Xiaoxi Yang Tingting Ku Qian S.Liu Jiefeng Liang Qunfang Zhou Francesco Faiola Guibin Jiang | 2024 | Journal of Environmental Sciences2024，，3： | 0 |
| 5 | Growing Knowledge of Stem Cells as a Novel Experimental Model in Developmental Toxicological Studies显示文摘The increasing production and extensive application of chemicals have led to their unintended release and contamination in the environment,posing a hazardous threat to wildlife and human health.Numerous studies have demonstrated that developmental toxicity could be induced by various emerging chemicals,causing abnormal embryonic and placental development,adverse pregnancy outcomes,obesity,and dysfunction of lipid metabolism in neonates.Given the currently-available experimental technology for developmental toxicological studies,an in vitro model based on stem cells showed promising performance in high-throughput screening of the early-stage developmental toxicity of emerging chemicals.In this review,the deleterious effects of environmental pollutants on stem cells were systemically assorted from the aspects of cytological dysfunction,self-renewal impairment,perturbation in embryoid body(EB)formation,and disruption of committed lineage differentiation.The toxicological data on the molecular level,including the altered expressions of gene and protein biomarkers,epigenomic regulation,and enhanced oxidative stress,were collected and summarized to provide the mechanism explanation for the link between environmental pollutant exposure and unfavorable phenotypes in stem cells.The advantage of the stem cell model in developmental toxicological studies was specifically emphasized.And the perspectives for stem cells were ultimately highlighted in the research field of environmental toxicology,especially developmental toxicology during the early stage of life. | REN Zhihua KU Tingting REN Mengyao LIANG Jiefeng NING Xia XU Hanqing REN Danqin ZHOU Qunfang SANG Nan | 2023 | Chemical Research in Chinese Universities2023，39，3： | 0 |
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