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| 1 | 上海天文馆显示文摘上海天文馆坐落于滴水湖畔,总面积约3.8万m^(2)作为上海科技馆分馆,是全球规模最大的天文学主题博物馆。其致力于营造沉浸式体验,让游客可以与各种天文现象直接互动,并通过对比例、形态以及光线的细致处理,提升人们对于太阳和地球轨道运动之间的基本关系的认知。 | 无 V.Guy Maxwell Grace Chen Wei Wei Kuang Charles Wolf Anthony Guaraldo Jorge Arias Margarita Calero Michael Caton Christina Ciardullo Eugene Colberg Regina Jiang Jörg Kiesow Aidan Kim Stefan Knust Xinya Li Francelle Lim Xiaoyun Mao David Monnar Nikita Payusov James Rhee Yong Kyun Roh Miya Ruan Na Sun Eric Tsui Stephanie Tung Charles Wong David Yu Fred Zhang | 2022 | 建筑实践2022，，5： | 1 |
| 2 | A study on underwater target 2-dimensional highlight distribution显示文摘The near field of underwater target acoustic scattering is a time-space distribution.Its characteristics can be illustrated by target time(equivalent to position)-aspect 2-dimensional highlight distribution. The principle that based on acoustic channel theory is reported here.Conjoining with sea trial results, some main reasons of target scattering are reviewed. The graphs for the target 2-dimensional highlight distribution are also discussed. Finally, the physical model of target 2-dimensional highlight distribution is presented. | JIANG Yongmin(760 Research Institute Dalian 116013)FENG Haihong(Harbin Engineering University Harbin 150001)HAO Xinya(760 Research Institute Dalian 116013)HUI Jungying(Harbin Engineering University Harbin 150001)Revised Nov. 18, 1996 | 1997 | Chinese Journal of Acoustics1997，16，4： | 1 |
| 3 | The role of cholesterol metabolism in leukemia显示文摘Leukemia is a common hematological malignancy with overall poor prognosis.Novel therapies are needed to improve the outcome of leukemia patients.Cholesterol metabolism reprogramming is a featured alteration in leukemia.Many metabolic-related genes and metabolites are essential to the progress and drug resistance of leukemia.Exploring potential therapeutical targets related to cholesterol homeostasis is a promising area.This review summarized the functions of cholesterol and its derived intermediate metabolites,and also discussed potential agents targeting this metabolic vulnerability in leukemia. | Liang Zhao Huien Zhan Xinya Jiang Yangqiu Li Hui Zen | 2019 | Blood Science2019，1，1： | 0 |
| 4 | Contrastive Learning for Blind Super-Resolution via A Distortion-Specific Network显示文摘Previous deep learning-based super-resolution(SR)methods rely on the assumption that the degradation process is predefined(e.g.,bicubic downsampling).Thus,their performance would suffer from deterioration if the real degradation is not consistent with the assumption.To deal with real-world scenarios,existing blind SR methods are committed to estimating both the degradation and the super-resolved image with an extra loss or iterative scheme.However,degradation estimation that requires more computation would result in limited SR performance due to the accumulated estimation errors.In this paper,we propose a contrastive regularization built upon contrastive learning to exploit both the information of blurry images and clear images as negative and positive samples,respectively.Contrastive regularization ensures that the restored image is pulled closer to the clear image and pushed far away from the blurry image in the representation space.Furthermore,instead of estimating the degradation,we extract global statistical prior information to capture the character of the distortion.Considering the coupling between the degradation and the low-resolution image,we embed the global prior into the distortion-specific SR network to make our method adaptive to the changes of distortions.We term our distortion-specific network with contrastive regularization as CRDNet.The extensive experiments on synthetic and realworld scenes demonstrate that our lightweight CRDNet surpasses state-of-the-art blind super-resolution approaches. | Xinya Wang Jiayi Ma Junjun Jiang | 2023 | IEEE/CAA Journal of Automatica Sinica2023，10，1： | 0 |
| 5 | MPIN:a macro-pixel integration network for light field super-resolution显示文摘Most existing light field(LF)super-resolution(SR)methods either fail to fully use angular information or have an unbalanced performance distribution because they use parts of views.To address these issues,we propose a novel integration network based on macro-pixel representation for the LF SR task,named MPIN.Restoring the entire LF image simultaneously,we couple the spatial and angular information by rearranging the four-dimensional LF image into a two-dimensional macro-pixel image.Then,two special convolutions are deployed to extract spatial and angular information,separately.To fully exploit spatial-angular correlations,the integration resblock is designed to merge the two kinds of information for mutual guidance,allowing our method to be angular-coherent.Under the macro-pixel representation,an angular shuffle layer is tailored to improve the spatial resolution of the macro-pixel image,which can effectively avoid aliasing.Extensive experiments on both synthetic and real-world LF datasets demonstrate that our method can achieve better performance than the state-of-the-art methods qualitatively and quantitatively.Moreover,the proposed method has an advantage in preserving the inherent epipolar structures of LF images with a balanced distribution of performance. | Xinya WANG Jiayi MA Wenjing GAO Junjun JIANG | 2021 | Frontiers of Information Technology & Electronic Engineering2021，22，10： | 0 |
| 6 | Nonverbal Behavior as an Educational Symbolic Mediator in Class显示文摘Effective language strategies play an essential role in traditional teaching.However,the benefits of nonverbal behavior teaching strategy in the classroom have been underestimated.Facial expressions,gestures,and eye contact are all instantaneous nonverbal behaviors that play a significant part in exchanging information in classroom.This study aims to examine how different nonverbal teaching strategies affect teaching and learning and discover what it is used for and how important they are in education.Finally,some suggestions for improving teachers’use of nonverbal behaviors from a teacher professional development perspective are presented. | Xinya Li Bo Jiang | 2022 | Journal of Sociology Study2022，12，5： | 0 |
| 7 | New Directions of 5G for the Development of Blended Learning Models显示文摘To improve the quality of education,the application of various forms of teaching and learning tools supported by technology is becoming increasingly widespread in education.Especially the internet communication and technology are changing the education era swiftly with the advent of fifth-generation technology.Research about blended learning(BL)based on 5G networks is emerging.However,few studies have explained how 5G network technology helps the BL teaching model be better applied to teaching.Therefore,this paper tries to sort out the development process of BL teaching mode,summarize the challenges of BL learning in teaching,and explore how the development of the 5G era will positively impact BL teaching mode. | Li Xinya Jiang Bo | 2022 | Psychology Research2022，12，10： | 0 |
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