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From History Book to Digital Humanities Database: The Basic Annals of the Shiji - ERRATUM

Bin Li, Yaxin Li, Qian Wang, Yaqi Wang, Rui Chen
2020 Journal of Chinese History  
doi:10.1017/jch.2020.44 fatcat:pehx7bf7zvefteyoafaucexv7a

A quantum circuit design of AES [article]

ZeGuo Wang, ShiJie Wei, GuiLu Long
2021 arXiv   pre-print
Advanced Encryption Standard(AES) is one of the most widely used block ciphers nowadays, and has been established as an encryption standard in 2001. Here we design AES-128 and the sample-AES(S-AES) quantum circuits for deciphering. In the quantum circuit of AES-128, we perform an affine transformation for the SubBytes part to solve the problem that the initial state of the output qubits in SubBytes is not the |0⟩^⊗ 8 state. After that, we are able to encode the new round sub-key on the qubits
more » ... coding the previous round sub-key, and this improvement reduces the number of qubits used by 224 compared with Langenberg et al.'s implementation. For S-AES, a complete quantum circuit is presented with only 48 qubits, which is already within the reach of existing noisy intermediate-scale quantum computers.
arXiv:2109.12354v1 fatcat:2moy4ip2nbay7cbrrrkhfeh62y

JMSS-1: a new Martian soil simulant

Xiaojia Zeng, Xiongyao Li, Shijie Wang, Shijie Li, Nicole Spring, Hong Tang, Yang Li, Junming Feng
2015 Earth, Planets and Space  
It is important to develop Martian soil simulants that can be used in Mars exploration programs and Mars research. A new Martian soil simulant, called Jining Martian Soil Simulant (JMSS-1), was developed at the Lunar and Planetary Science Research Center at the Institute of Geochemistry, Chinese Academy of Sciences. The raw materials of JMSS-1 are Jining basalt and Fe oxides (magnetite and hematite). JMSS-1 was produced by mechanically crushing Jining basalt with the addition of small amounts
more » ... magnetite and hematite. The properties of this simulant, including chemical composition, mineralogy, particle size, mechanical properties, reflectance spectra, dielectric properties, volatile content, and hygroscopicity, have been analyzed. On the basis of these test results, it was demonstrated that JMSS-1 is an ideal Martian soil simulant in terms of chemical composition, mineralogy, and physical properties. JMSS-1 would be an appropriate choice as a Martian soil simulant in scientific and engineering experiments in China's Mars exploration in the future.
doi:10.1186/s40623-015-0248-5 fatcat:vsmbpq4k5ncj7ayt4gbhlg4dqu

Intraspecific predator interference promotes biodiversity in ecosystems [article]

Ju Kang, Shijie Zhang, Xin Wang
2021 arXiv   pre-print
The American Naturalist, XCV(882): 137-145 (1961). [15] Wang, X., Y. Y.  ...  Intraspecific predator interference promotes biodiversity in ecosystems Ju Kang1†, Shijie Zhang2†, Xin Wang1* 1.  ... 
arXiv:2112.05098v1 fatcat:zntxoiupjnfi3ofuxys2kavu3u

MOESM1 of The layered structure model for winonaite parent asteroid implicated by textural and mineralogical diversity

Xiaojia Zeng, Yingli Shang, Shijie Li, Xiongyao Li, Shijie Wang, Yang Li
2019 Figshare  
Additional file 1. Additional figures showing the six studied winonaite sections (Figure A1) and the elemental composite maps of these meteorites (Figure A2â 7). The rare earh elements composition for orthopyroxene, clinopyroxene, and plagioclase was provided in Table A1.
doi:10.6084/m9.figshare.7943702.v1 fatcat:j3hfp4ait5g5bnsawhanhbyply

Pose Recognition with Cascade Transformers [article]

Ke Li, Shijie Wang, Xiang Zhang, Yifan Xu, Weijian Xu, Zhuowen Tu
2021 arXiv   pre-print
In this paper, we present a regression-based pose recognition method using cascade Transformers. One way to categorize the existing approaches in this domain is to separate them into 1). heatmap-based and 2). regression-based. In general, heatmap-based methods achieve higher accuracy but are subject to various heuristic designs (not end-to-end mostly), whereas regression-based approaches attain relatively lower accuracy but they have less intermediate non-differentiable steps. Here we utilize
more » ... e encoder-decoder structure in Transformers to perform regression-based person and keypoint detection that is general-purpose and requires less heuristic design compared with the existing approaches. We demonstrate the keypoint hypothesis (query) refinement process across different self-attention layers to reveal the recursive self-attention mechanism in Transformers. In the experiments, we report competitive results for pose recognition when compared with the competing regression-based methods.
arXiv:2104.06976v1 fatcat:w2o3mhy6rngivavllhtmwr5qye

Toward Autonomous Rotation-Aware Unmanned Aerial Grasping [article]

Shijie Lin, Jinwang Wang, Wen Yang, Guisong Xia
2018 arXiv   pre-print
*The first two authors contribute equally to this letter. 1 Shijie Lin, Jinwang Wang and Wen Yang are with the School of Electronic Information, Wuhan University Wuhan 430072, China  ... 
arXiv:1811.03921v1 fatcat:v3lt7gw34rgwhg35wtdknovjcy

Real-Time Hyperspectral Video Acquisition with Coded Slits

Guoliang Tang, Zi Wang, Shijie Liu, Chunlai Li, Jianyu Wang
2022 Sensors  
We propose a real-time hyperspectral video acquisition system that uses coded slits. Conventional imaging spectrometers usually have scanning mechanisms that reduce the temporal resolution or sacrifice the spatial resolution to acquire spectral information instantly. Recently, computational spectral imaging has been applied to realize high-speed or high-performance spectral imaging. However, the most current computational spectral imaging systems take a long time to reconstruct spectral data
more » ... es from limited measurements, which limits real-time hyperspectral video acquisition. In this work, we propose a new computational spectral imaging system. We substitute the slit in a conventional scanning-based imaging spectrometer with coded slits, which can achieve the parallel acquisition of spectral data and thus an imaging speed that is several times higher. We also apply an electronically controlled translation stage to use different codes at each exposure level. The larger amount of data allows for fast reconstruction through matrix inversion. To solve the problem of a trade-off between imaging speed and image quality in high-speed spectral imaging, we analyze the noise in the system. The severe readout noise in our system is suppressed with S-matrix coding. Finally, we build a practical prototype that can acquire hyperspectral video with a high spatial resolution and a high signal-to-noise ratio at 5 Hz in real time.
doi:10.3390/s22030822 pmid:35161568 pmcid:PMC8838899 fatcat:wwwdf56c55duhpjanlz4uifl6m

TP53INP2 Promotes Bovine Adipocytes Differentiation Through Autophagy Activation

Weiyi Zhang, Peiwei Li, Shijie Wang, Gong Cheng, Li Wang, Xue Mi, Xiaotong Su, Yaning Wang, Linsen Zan
2019 Animals  
Tumor protein p53 inducible nuclear protein 2 (TP53INP2) is a key positive regulator of autophagy, and it has been shown to modulate adipocyte differentiation. However, the molecular mechanism involved in autophagy regulation during adipocyte differentiation has not been clarified. Our experiments were intended to investigate whether TP53INP2 is involved in the regulation of autophagy during bovine adipocyte differentiation and how TP53INP2 affects the differentiation of bovine adipocytes. In
more » ... r research, using RT-qPCR and Western blot methods, we found that the overexpression of TP53INP2 resulted in the upregulation of adipogenesis and autophagy-related genes, and autophagy flux and the degree of differentiation were detected by LipidTOX™ Deep Red Neutral Lipid staining and dansylcadaverine staining, respectively. The knockdown of TP53INP2 produced results that were the inverse of those produced by the overexpression of TP53INP2. Overall, our results suggested that TP53INP2 can activate autophagy during the early stage of differentiation in bovine adipocytes and positively regulate adipocyte differentiation by affecting autophagy. Additionally, peroxisome proliferator-activated receptor gamma (PPARγ) also contributed to the function of TP53INP2 in modulating adipocyte differentiation.
doi:10.3390/ani9121060 pmid:31810209 pmcid:PMC6940805 fatcat:ythy23rcmjcgdeds7yt7hvlsci

A Survey on Large-scale Machine Learning [article]

Meng Wang, Weijie Fu, Xiangnan He, Shijie Hao, Xindong Wu
2020 arXiv   pre-print
Machine learning can provide deep insights into data, allowing machines to make high-quality predictions and having been widely used in real-world applications, such as text mining, visual classification, and recommender systems. However, most sophisticated machine learning approaches suffer from huge time costs when operating on large-scale data. This issue calls for the need of Large-scale Machine Learning (LML), which aims to learn patterns from big data with comparable performance
more » ... y. In this paper, we offer a systematic survey on existing LML methods to provide a blueprint for the future developments of this area. We first divide these LML methods according to the ways of improving the scalability: 1) model simplification on computational complexities, 2) optimization approximation on computational efficiency, and 3) computation parallelism on computational capabilities. Then we categorize the methods in each perspective according to their targeted scenarios and introduce representative methods in line with intrinsic strategies. Lastly, we analyze their limitations and discuss potential directions as well as open issues that are promising to address in the future.
arXiv:2008.03911v1 fatcat:p3jsf53wavgnlij3utsq7tsssy

Fourth-order gravity gradient torque of spacecraft orbiting asteroids [article]

Yue Wang, Hong Guan, Shijie Xu
2014 arXiv   pre-print
The dynamical behavior of spacecraft around asteroids is a key element in design of such missions. An asteroid's irregular shape, non-spherical mass distribution and its rotational sate make the dynamics of spacecraft quite complex. This paper focuses on the gravity gradient torque of spacecraft around non-spherical asteroids. The gravity field of the asteroid is approximated as a 2nd degree and order-gravity field with harmonic coefficients C20 and C22. By introducing the spacecraft's
more » ... der inertia integrals, a full fourth-order gravity gradient torque model of the spacecraft is established through the gravitational potential derivatives. Our full fourth-order model is more precise than previous fourth-order model due to the consideration of higher-order inertia integrals of the spacecraft. Some interesting conclusions about the gravity gradient torque model are reached. Then a numerical simulation is carried out to verify our model. In the numerical simulation, a special spacecraft consisted of 36 point masses connected by rigid massless rods is considered. We assume that the asteroid is in a uniform rotation around its maximum-moment principal axis, and the spacecraft is on the stationary orbit in the equatorial plane. Simulation results show that the motion of previous fourth-order model is quite different from the exact motion, while our full fourth-order model fits the exact motion very well. And our model is precise enough for practical applications.
arXiv:1408.5553v1 fatcat:tf5vizzka5bk7k4kkn5hzs5uaa

Algorithms and Theory for Supervised Gradual Domain Adaptation [article]

Jing Dong, Shiji Zhou, Baoxiang Wang, Han Zhao
2022 arXiv   pre-print
The phenomenon of data distribution evolving over time has been observed in a range of applications, calling the needs of adaptive learning algorithms. We thus study the problem of supervised gradual domain adaptation, where labeled data from shifting distributions are available to the learner along the trajectory, and we aim to learn a classifier on a target data distribution of interest. Under this setting, we provide the first generalization upper bound on the learning error under mild
more » ... tions. Our results are algorithm agnostic, general for a range of loss functions, and only depend linearly on the averaged learning error across the trajectory. This shows significant improvement compared to the previous upper bound for unsupervised gradual domain adaptation, where the learning error on the target domain depends exponentially on the initial error on the source domain. Compared with the offline setting of learning from multiple domains, our results also suggest the potential benefits of the temporal structure among different domains in adapting to the target one. Empirically, our theoretical results imply that learning proper representations across the domains will effectively mitigate the learning errors. Motivated by these theoretical insights, we propose a min-max learning objective to learn the representation and classifier simultaneously. Experimental results on both semi-synthetic and large-scale real datasets corroborate our findings and demonstrate the effectiveness of our objectives.
arXiv:2204.11644v1 fatcat:hu4lt7dokjcfxpfdqjmbazpn5a

SVD++ Recommendation Algorithm Based on Backtracking

Shijie Wang, Guiling Sun, Yangyang Li
2020 Information  
Collaborative filtering (CF) has successfully achieved application in personalized recommendation systems. The singular value decomposition (SVD)++ algorithm is employed as an optimized SVD algorithm to enhance the accuracy of prediction by generating implicit feedback. However, the SVD++ algorithm is limited primarily by its low efficiency of calculation in the recommendation. To address this limitation of the algorithm, this study proposes a novel method to accelerate the computation of the
more » ... D++ algorithm, which can help achieve more accurate recommendation results. The core of the proposed method is to conduct a backtracking line search in the SVD++ algorithm, optimize the recommendation algorithm, and find the optimal solution via the backtracking line search on the local gradient of the objective function. The algorithm is compared with the conventional CF algorithm in the FilmTrust, MovieLens 1 M and 10 M public datasets. The effectiveness of the proposed method is demonstrated by comparing the root mean square error, absolute mean error and recall rate simulation results.
doi:10.3390/info11070369 fatcat:upji5z4o6fhnnpdmbtiw6iivz4

The layered structure model for winonaite parent asteroid implicated by textural and mineralogical diversity

Xiaojia Zeng, Yingli Shang, Shijie Li, Xiongyao Li, Shijie Wang, Yang Li
2019 Earth, Planets and Space  
The winonaites are primitive achondrites that are associated with IAB iron meteorites. They provide valuable insights into differentiation processes on asteroids in the early Solar System. However, there is still little understanding of the lithological diversity as well as the structure of the winonaite parent asteroid. In this work, we report the petrologic texture and mineralogy of a suite of winonaites (i.e., Northwest Africa (NWA) 725, NWA 6448, NWA 4024, Grove Mountains (GRV) 022890, GRV
more » ... 21663, and Sahara (SAH) 02029) that exhibit a wide diversity of petrographic textures from primitive chondritic texture to coarse-grained equigranular texture. In particular, we recognized an unusual winonaite (SAH 02029) with a distinctive mineralogy and mineral chemistry (e.g., depleted in troilite, plagioclase contains melt inclusions, high plagioclase An values, and LREE-depleted clinopyroxene). The petrological and mineralogical features of SAH 02029 indicate that this meteorite has undergone silicate partial melting and may represent the residue of ~ 5-10 vol% partial melting. The textural and mineralogical diversity among winonaites suggests that the winonaite-IAB parent asteroid would have formed a four-layered structure during its evolution history: (1) surface layer consisting of precursor chondritic materials; (2) subsurface layer composed of diverse lithologies that experienced limited metamorphism and FeNi-FeS partial melting; (3) deep residues of silicate partial melting; and (4) interior layer consisting of incomplete differentiation metal pools. This conclusion enables us to establish constraints on the evolution history of winonaite-IAB parent body. which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. Page 3 of 15 Zeng et al. Earth, Planets and Space (2019) 71:38 equigranular textures (Fig. 1 and Additional file 1: Figs. A2-7) . The petrologic textures of each meteorite were described below in approximate order of increasing grain size and degree of metamorphism. facturing Technology, Chinese Academy of Sciences,
doi:10.1186/s40623-019-1015-9 fatcat:xruvhgytijgehpqupiosinulmq

Tunable Infrared Optical Switch Based on Vanadium Dioxide

Qi Wang, Shijie Zhang, Chen Wang, Rui Li, Tianhan Cai, Dawei Zhang
2021 Nanomaterials  
A tunable infrared optical switch based on a plasmonic structure consisting of aluminum nanoarrays with a thin film of vanadium dioxide is proposed. This optical switch can realize arbitrary wavelength-selective optical switching in the mid-infrared region by altering the radii of the aluminum nanoarrays. Furthermore, since vanadium dioxide transforms from its low-temperature insulator phase to a high-temperature metallic phase when heated or applied voltage, the optical switch can achieve
more » ... ay switching of its "ON" and "OFF" modes. Finite-difference time-domain software is used to simulate the performance of the proposed infrared optical switch. Simulation results show that the switch offers excellent optical performances, that the modulation depth can reach up to 99.4%, and that the extinction ratio exceeds −22.16 dB. In addition, the phase transition time of vanadium dioxide is on the femtosecond scale, which means that this optical switch based on a vanadium dioxide thin film can be used for ultrafast switching.
doi:10.3390/nano11112988 pmid:34835752 pmcid:PMC8623528 fatcat:xhmfgqxkq5gwljl7jgwz2sqfrm
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