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High kinesin family member 18A expression correlates with poor prognosis in primary lung adenocarcinoma

Xiaoqing Li, Meirong Liu, Zheng Zhang, Linlin Zhang, Xingmei Liang, Linlin Sun, Diansheng Zhong
2019 Thoracic Cancer  
Lung adenocarcinoma (LUAD) is the most prevalent pathological subtype of lung cancer. Kinesin family member 18A (KIF18A) plays an important role in tumorigenesis. Its roles in breast cancer, colorectal cancer, and other tumors have been demonstrated; however, studies of KIF18A in LUAD are limited. This study aimed to determine the role of KIF18A in LUAD progression and prognostic prediction.
doi:10.1111/1759-7714.13051 pmid:30907518 pmcid:PMC6500977 fatcat:iudmtsd2nrdkxlpmgzweulrbmu

Crossover Designs With Two Binary Endpoints

Linlin Zhang, Jin Xu
2018 Figshare  
We propose a crossover design for simultaneous significance testing of two binary endpoints, in which the AB/BA crossover design is carried out for each endpoint. An asymptotic α-level test is obtained by applying the intersection-union principle to the marginal Mainland–Gart tests. Power approximations and sample size calculation are derived and implemented in R programs. An adaptive design with sample size reestimation is also presented. We demonstrate the numerical accuracy of the proposed
more » ... sign through an extensive simulation study. Supplementary materials for this article are available online.
doi:10.6084/m9.figshare.6948980.v2 fatcat:gmy2plt7tvhu3pvdxo2b7htuim

Measurements of Quarkonium Production and Polarization at CMS [article]

Linlin Zhang
2013 arXiv   pre-print
The polarizations of Y(nS) (n=1,2,3) and prompt J/\psi and \psi(2S), as well as the differential cross section of the Y(nS), are measured in proton-proton collisions at sqrt(s) = 7 TeV, using a dimuon data sample collected by the CMS experiment at the LHC, corresponding to an integrated luminosity of 4.9 fb-1. The differential cross section is measured as a function of transverse momentum of Y(nS). The data show a transition from exponential to power-law behavior in the neighborhood of 20 GeV,
more » ... nd the power-law exponents for all three states are consistent. The polarization parameters \lambda\theta, \lambda\phi, and \lambda\theta\phi, as well as the frame-invariant quantity \lambda, are measured from the dimuon decay angular distributions in three different polarization frames. No evidence of large polarizations is seen in these kinematic regions, which extend much beyond those previously explored.
arXiv:1311.7490v1 fatcat:ur6xcyvbcre4hjbn273tfar22y

Adaptive FPGA NoC-based Architecture for Multispectral Image Correlation [article]

Linlin Zhang, Virginie Fresse
2009 arXiv   pre-print
An adaptive FPGA architecture based on the NoC (Network-on-Chip) approach is used for the multispectral image correlation. This architecture must contain several distance algorithms depending on the characteristics of spectral images and the precision of the authentication. The analysis of distance algorithms is required which bases on the algorithmic complexity, result precision, execution time and the adaptability of the implementation. This paper presents the comparison of these distance
more » ... utation algorithms on one spectral database. The result of a RGB algorithm implementation was discussed.
arXiv:0901.4081v1 fatcat:z4mmcmxhe5cofcewic2hbjckom

The BeiHang Keystroke Dynamics Authentication System [article]

Juan Liu, Baochang Zhang, Linlin Shen, Jianzhuang Liu, Jason Zhao
2013 arXiv   pre-print
Keystroke Dynamics is an important biometric solution for person authentication. Based upon keystroke dynamics, this paper designs an embedded password protection device, develops an online system, collects two public databases for promoting the research on keystroke authentication, exploits the Gabor filter bank to characterize keystroke dynamics, and provides benchmark results of three popular classification algorithms, one-class support vector machine, Gaussian classifier, and nearest neighbour classifier.
arXiv:1310.4485v1 fatcat:le6kb2p47zbt7nmt3pohzqhc5q

Erythrocyte Sedimentation Rate in COVID-19 Infections [article]

Wei Zhang, Youshu Yuan, Shucheng Zhang, Can Jin, Linlin Wu, Hong Mei, Chen Miao, Zhixia Jiang, Zhixu He
2020 medRxiv   pre-print
Xiyi Wei, Yu-Tian Xiao, Jian Wang, Rui Chen, Wei Zhang, Yue Yang ea.  ...  Gao L, Liu X, Zhang D, et al. Early diagnosis of bacterial infection in patients with septicopyemia by laboratory analysis of PCT, CRP and IL-6. Exp Ther Med. Oosterheert JJ, Hak E, Hoepelman AI.  ... 
doi:10.1101/2020.06.25.20139881 fatcat:ovi6fyyef5ajjo6bpup354raga

A practical guide to CRISPR/Cas9 genome editing in Lepidoptera [article]

Linlin Zhang, Robert Reed
2017 bioRxiv   pre-print
L., et al., 2017 Perry M., et al., 2016 Vanessa cardui Zhang L. & Reed R., 2016 Ddc, Distal-less, spalt PCR 51.7%-56% No Zhang L., et al., 2017 knockout Long deletions Cas9 protein & sgRNA yellow, black  ...  , ebony, yellow-d Junonia coenia Zhang L. & Reed R., 2016 Zhang L., et al., 2017 knockout Long deletions Cas9 mRNA/protein & sgRNA yellow, ebony Markert M., et al., 2016 knockout Small indels & long deletions  ... 
doi:10.1101/130344 fatcat:bcvz5xfio5dffptqbeeptm6q5u

Directional binary code with application to PolyU near-infrared face database

Baochang Zhang, Lei Zhang, David Zhang, Linlin Shen
2010 Pattern Recognition Letters  
Zhang et 205 al. 2005, W. Gao et al. 2008, L. Hong et al. 1998].  ...  Zhang et al, 2005] and they are benchmarks to evaluate the performance of FR techniques. Together 250 with the DBC and GDBC, eight methods will be tested on the established PolyU-NIRDF.  ... 
doi:10.1016/j.patrec.2010.07.006 fatcat:pdldqcwtojbatesrdjoqupizvy

Total synthesis of (−)-petrosiol E

Linlin Wang, Xing Zhang, Jun Liu, Yuguo Du
2014 Tetrahedron  
(À)-Petrosiol E, a metabolite of sponge Petrosia strongylata, has been synthesized in 32% overall yield from cheap natural D-xylose in 10 steps. Our strategy provides an efficient way for the total synthesis of other petrosiol members, featuring the three contiguous stereogenic centers are easily constructed from D-xylose chiral template.
doi:10.1016/j.tet.2014.09.030 fatcat:nqgw2naxpresxfhaeafs2fkdgq

Graph Pruning for Model Compression [article]

Mingyang Zhang, Xinyi Yu, Jingtao Rong, Linlin Ou
2021 arXiv   pre-print
Previous AutoML pruning works utilized individual layer features to automatically prune filters. We analyze the correlation for two layers from the different blocks which have a short-cut structure. It shows that, in one block, the deeper layer has many redundant filters which can be represented by filters in the former layer. So, it is necessary to take information from other layers into consideration in pruning. In this paper, a novel pruning method, named GraphPruning, is proposed. Any
more » ... of the network is viewed as a graph. To automatically aggregate neighboring features for each node, a graph aggregator based on graph convolution networks(GCN) is designed. In the training stage, a PruningNet that is given aggregated node features generates reasonable weights for any size of the sub-network. Subsequently, the best configuration of the Pruned Network is searched by reinforcement learning. Different from previous work, we take the node features from a well-trained graph aggregator instead of the hand-craft features, as the states in reinforcement learning. Compared with other AutoML pruning works, our method has achieved the state-of-the-art under the same conditions on ImageNet-2012.
arXiv:1911.09817v2 fatcat:p6ivhwdtqrdrlgocu5tymxqoci

Research Progress in Gas Separation Using Hollow Fiber Membrane Contactors

Linlin Li, Guiyang Ma, Zhen Pan, Na Zhang, Zhien Zhang
2020 Membranes  
Zhang et al.  ...  Zhang et al. also studied the effect of gas pressure on the removal efficiency and flux, as shown in Figure 9 [108] .  ... 
doi:10.3390/membranes10120380 pmid:33260435 pmcid:PMC7760880 fatcat:oslgn5pwtngz3mjcyjxhyleneu

Context-Adaptive Document-Level Neural Machine Translation [article]

Linlin Zhang
2021 arXiv   pre-print
Most existing document-level neural machine translation (NMT) models leverage a fixed number of the previous or all global source sentences to handle the context-independent problem in standard NMT. However, the translating of each source sentence benefits from various sizes of context, and inappropriate context may harm the translation performance. In this work, we introduce a data-adaptive method that enables the model to adopt the necessary and useful context. Specifically, we introduce a
more » ... ht predictor into two document-level translation models to select the explicit context. Experiments demonstrate the proposed approach can significantly improve the performance over the previous methods with a gain up to 1.99 BLEU points.
arXiv:2104.08259v2 fatcat:ytcwvfoelrd6hmuekbmskfiuvy

Face Presentation Attack Detection using Taskonomy Feature [article]

Wentian Zhang, Haozhe Liu, Raghavendra Ramachandra, Feng Liu, Linlin Shen, Christoph Busch
2021 arXiv   pre-print
The robustness and generalization ability of Presentation Attack Detection (PAD) methods is critical to ensure the security of Face Recognition Systems (FRSs). However, in the real scenario, Presentation Attacks (PAs) are various and hard to be collected. Existing PAD methods are highly dependent on the limited training set and cannot generalize well to unknown PAs. Unlike PAD task, other face-related tasks trained by huge amount of real faces (e.g. face recognition and attribute editing) can
more » ... effectively adopted into different application scenarios. Inspired by this, we propose to apply taskonomy (task taxonomy) from other face-related tasks to solve face PAD, so as to improve the generalization ability in detecting PAs. The proposed method, first introduces task specific features from other face-related tasks, then, we design a Cross-Modal Adapter using a Graph Attention Network (GAT) to re-map such features to adapt to PAD task. Finally, face PAD is achieved by using the hierarchical features from a CNN-based PA detector and the re-mapped features. The experimental results show that the proposed method can achieve significant improvements in the complicated and hybrid datasets, when compared with the state-of-the-art methods. In particular, when trained using OULU-NPU, CASIA-FASD, and Idiap Replay-Attack, we obtain HTER (Half Total Error Rate) of 5.48% in MSU-MFSD, outperforming the baseline by 7.39%. Code will be made publicly available.
arXiv:2111.11046v1 fatcat:kpegagdpbvcw3lrjwjsool7jc4

Gated SwitchGAN for multi-domain facial image translation [article]

Xiaokang Zhang, Yuanlue Zhu, Wenting Chen, Wenshuang Liu, Linlin Shen
2021 arXiv   pre-print
Zhang, Y. Zhu, W. Chen, W. Liu and L.  ...  Linlin Shen, Tel: 86-0755-86935089, Fax: 86-0755-26534078,  ... 
arXiv:2111.14096v1 fatcat:u67qcokpure4fpsyffagzzmwyy

Optimal Dividend of Compound Poisson Process under a Stochastic Interest Rate [article]

Linlin Tian, Xiaoyi Zhang
2018 arXiv   pre-print
In this paper we assume the insurance wealth process is driven by the compound Poisson process. The discounting factor is modelled as a geometric Brownian motion at first and then as an exponential function of an integrated Ornstein-Uhlenbeck process. The objective is to maximize the cumulated value of expected discounted dividends up to the time of ruin. We give an explicit expression of the value function and the optimal strategy in the case of interest rate following a geometric Brownian
more » ... on. For the case of the Vasicek model, we explore some properties of the value function. Since we can not find an explicit expression for the value function in the second case, we prove that the value function is the viscosity solution of the corresponding HJB equation.
arXiv:1807.08081v1 fatcat:4xgrgu6dubf5djdtrj7yqw52a4
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