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Endgame Analysis of Dou Shou Qi [article]

Jan N. van Rijn, Jonathan K. Vis
2016 arXiv   pre-print
Dou Shou Qi is a game in which two players control a number of pieces, each of them aiming to move one of their pieces onto a given square. We implemented an engine for analyzing the game.  ...  DOU SHOU QI ENGINE To get a feeling for the search complexity of a Dou Shou Qi game, we present some numbers. An average configuration allows for ≈ 20 legal moves (out of a maximum of 32).  ...  Figure 1 : 1 Dou Shou Qi game board. Figure 3 : 3 Various endgames with two pieces.  ... 
arXiv:1604.07312v1 fatcat:oqfrlr7j5fdexlvimz5k4who5a

ENDGAME ANALYSIS OF DOU SHOU QI

Jan N. van Rijn, Jonathan K. Vis
2014 ICGA Journal  
Dou Shou Qi is a game in which two players control a number of pieces, each of them aiming to move one of their pieces onto a given square. We implemented an engine for analyzing the game.  ...  DOU SHOU QI ENGINE To get a feeling for the search complexity of a Dou Shou Qi game, we present some numbers. An average configuration allows for ≈ 20 legal moves (out of a maximum of 32).  ...  Figure 1 : 1 Dou Shou Qi game board. Figure 3 : 3 Various endgames with two pieces.  ... 
doi:10.3233/icg-2014-37208 fatcat:5t5jan35l5aalfarauuv67zvgi

A Note on Computational Complexity of Dou Shou Qi [article]

Zhujun Zhang
2019 arXiv   pre-print
In conclusion, we prove that Dou Shou Qi is EXPTIME-complete.  ...  Dou Shou Qi is a Chinese strategy board game for two players. We use a EXPTIME-hardness framework to analyse computational complexity of the game. We construct all gadgets of the hardness framework.  ...  We construct all gadgets of the hardness frameworks in Dou Shou Qi. In conclusion, we prove that Dou Shou Qi is EXPTIME-complete.  ... 
arXiv:1904.13205v1 fatcat:etkmylwc4vapjfhi63l65k7gta

DESIGN TECHNIQUE OF BRACKET COMPLEXES CALLED "TIAO JIN•LIU JIN DOU KE", "YI DOU ER SHENG JIAO MA YE DOU KE", "YI DOU SAN SHENG DOU KE", "SAN DI SHUI PIN ZI DOU KE", "NEI LI QI PAN BAN SHANG AN ZHUANG PIN ZI KE", "GE JIA KE" IN CHINESE CLASSICAL ARCHITECTURAL BOOK "GONG CHENG ZUO FA ZE LIE"

Xin CHEN, Kazuyoshi FUMOTO
2009 Journal of Architecture and Planning (Transactions of AIJ)  
DESIGN TECHNIQUE OF BRACKET COMPLEXES CALLED "TIAO JIN�LIU JIN DOU KE", "YI DOU ER SHENG JIAO MA YE DOU KE", "YI DOU SAN SHENG DOU KE", "SAN DI SHUI PIN ZI DOU KE", "NEI LI QI PAN BAN SHANG AN ZHUANG PIN  ... 
doi:10.3130/aija.74.463 fatcat:ndacc62i6vg3fb2agwofkk6nmy

cGMP-Dependent Protein Kinase in the Regulation of Cardiovascular Functions [chapter]

Yuansheng Gao, Dou Dou, Xue Qin, Hui Qi, Lei Ying
2012 Protein Kinases  
., 2006; Dou et al., 2010; Payne et al., 2006) , which may alter the action of PKG on MLCP.  ...  Therefore a downregulation of MYPT1 (LZ+) caused by increased proteasome-dependent degradation may contribute to development of nitrate tolerance (Dou et al., 2010) .  ...  How to reference In order to correctly reference this scholarly work, feel free to copy and paste the following: Yuansheng Gao, Dou Dou, Xue Qin, Hui Qi and Lei Ying (2012) . cGMP-Dependent Protein Kinase  ... 
doi:10.5772/37365 fatcat:a4gwrs2ebfhffcaj5t66wryyey

Antihepatoma and Liver Protective Potentials of Ganoderma Lucidum (靈芝 Ling Zhi) Fermented in a Medium Containing Black Soybean (黑豆 Hēi Dòu) and Astragalus Membranaceus (生黃耆 Shēng Huáng Qí)

Zheng-Yuan Su, Lucy Sun Hwang, Been-Huang Chiang, Lee-Yan Sheen
2013 Journal of Traditional and Complementary Medicine  
) and Astragalus membranaceus (AM; 生 黃耆 Shēng Huáng ) at different fermentation temperatures were investigated in this study.  ...  The antihepatoma activity and liver protective function of the fermentation products (5 L fermenator) of Ganoderma lucidum (GL; 靈芝 Ling Zhi) cultivated in a medium containing black soybean (BS; 黑豆 Hēi Dòu  ... 
doi:10.4103/2225-4110.110415 pmid:24716165 pmcid:PMC3924974 fatcat:vprjk2qcjfa3fbf7hbdray6ujy

Circulating miRNA-202-3p is a potential novel biomarker for diagnosis of type 1 gastric neuroendocrine neoplasms

Dou Dou, Xiao-Kou Li, Qi-Sheng Xia, Ying-Ying Chen, Yuan-Liang Li, Chao Wang, Zhi-Rong Qi, Huang-Ying Tan
2021 BMC Gastroenterology  
Circulating miRNAs, which are present in cell-free body fluids such Open Access *Correspondence: tanhuangying@263.net † Dou Dou, Xiao-kou Li and Qi-sheng Xia have contributed equally to this work and should  ... 
doi:10.1186/s12876-021-01769-7 pmid:33892648 pmcid:PMC8066967 fatcat:iaydwdqzrnexhn5g7tmgdo3nxa

Unpaired Multi-modal Segmentation via Knowledge Distillation [article]

Qi Dou, Quande Liu, Pheng Ann Heng, Ben Glocker
2020 arXiv   pre-print
Dou et al. [17] present unsupervised domain adaptation of CNNs between CT and MRI for the task of cardiac segmentation using adversarial learning. Huo et al.  ...  Dou and B. Glocker are with Biomedical Image Analysis Group, Imperial College London, London, UK. email: {qi.dou, b.glocker@imperial.ac.uk}. Q. Liu and P. A.  ... 
arXiv:2001.03111v1 fatcat:vll7ngtldfgipp7axhtrskdsce

Future Frame Prediction for Robot-assisted Surgery [article]

Xiaojie Gao, Yueming Jin, Zixu Zhao, Qi Dou, Pheng-Ann Heng
2021 arXiv   pre-print
Predicting future frames for robotic surgical video is an interesting, important yet extremely challenging problem, given that the operative tasks may have complex dynamics. Existing approaches on future prediction of natural videos were based on either deterministic models or stochastic models, including deep recurrent neural networks, optical flow, and latent space modeling. However, the potential in predicting meaningful movements of robots with dual arms in surgical scenarios has not been
more » ... pped so far, which is typically more challenging than forecasting independent motions of one arm robots in natural scenarios. In this paper, we propose a ternary prior guided variational autoencoder (TPG-VAE) model for future frame prediction in robotic surgical video sequences. Besides content distribution, our model learns motion distribution, which is novel to handle the small movements of surgical tools. Furthermore, we add the invariant prior information from the gesture class into the generation process to constrain the latent space of our model. To our best knowledge, this is the first time that the future frames of dual arm robots are predicted considering their unique characteristics relative to general robotic videos. Experiments demonstrate that our model gains more stable and realistic future frame prediction scenes with the suturing task on the public JIGSAWS dataset.
arXiv:2103.10308v1 fatcat:atpq3pjjhzhkta2lkqh23qun2a

Relative distance features for gait recognition with Kinect [article]

Ke Yang, Yong Dou, Shaohe Lv, Fei Zhang, Qi Lv
2016 arXiv   pre-print
Gait and static body measurement are important biometric technologies for passive human recognition. Many previous works argue that recognition performance based completely on the gait feature is limited. The reason for this limited performance remains unclear. This study focuses on human recognition with gait feature obtained by Kinect and shows that gait feature can effectively distinguish from different human beings through a novel representation -- relative distance-based gait features.
more » ... rimental results show that the recognition accuracy with relative distance features reaches up to 85%, which is comparable with that of anthropometric features. The combination of relative distance features and anthropometric features can provide an accuracy of more than 95%. Results indicate that the relative distance feature is quite effective and worthy of further study in more general scenarios (e.g., without Kinect).
arXiv:1605.05415v1 fatcat:u6efimfzu5b6dnsmxaoesqbrxi

Harmonizing Transferability and Discriminability for Adapting Object Detectors [article]

Chaoqi Chen, Zebiao Zheng, Xinghao Ding, Yue Huang, Qi Dou
2020 arXiv   pre-print
Recent advances in adaptive object detection have achieved compelling results in virtue of adversarial feature adaptation to mitigate the distributional shifts along the detection pipeline. Whilst adversarial adaptation significantly enhances the transferability of feature representations, the feature discriminability of object detectors remains less investigated. Moreover, transferability and discriminability may come at a contradiction in adversarial adaptation given the complex combinations
more » ... f objects and the differentiated scene layouts between domains. In this paper, we propose a Hierarchical Transferability Calibration Network (HTCN) that hierarchically (local-region/image/instance) calibrates the transferability of feature representations for harmonizing transferability and discriminability. The proposed model consists of three components: (1) Importance Weighted Adversarial Training with input Interpolation (IWAT-I), which strengthens the global discriminability by re-weighting the interpolated image-level features; (2) Context-aware Instance-Level Alignment (CILA) module, which enhances the local discriminability by capturing the underlying complementary effect between the instance-level feature and the global context information for the instance-level feature alignment; (3) local feature masks that calibrate the local transferability to provide semantic guidance for the following discriminative pattern alignment. Experimental results show that HTCN significantly outperforms the state-of-the-art methods on benchmark datasets.
arXiv:2003.06297v1 fatcat:gketkjfr6rgk3b4y4s5nme6jvm

Domain Generalization via Model-Agnostic Learning of Semantic Features [article]

Qi Dou, Daniel C. Castro, Konstantinos Kamnitsas, Ben Glocker
2019 arXiv   pre-print
Generalization capability to unseen domains is crucial for machine learning models when deploying to real-world conditions. We investigate the challenging problem of domain generalization, i.e., training a model on multi-domain source data such that it can directly generalize to target domains with unknown statistics. We adopt a model-agnostic learning paradigm with gradient-based meta-train and meta-test procedures to expose the optimization to domain shift. Further, we introduce two
more » ... ary losses which explicitly regularize the semantic structure of the feature space. Globally, we align a derived soft confusion matrix to preserve general knowledge about inter-class relationships. Locally, we promote domain-independent class-specific cohesion and separation of sample features with a metric-learning component. The effectiveness of our method is demonstrated with new state-of-the-art results on two common object recognition benchmarks. Our method also shows consistent improvement on a medical image segmentation task.
arXiv:1910.13580v1 fatcat:skh6bv2qm5apnksmvq2uu775hm

VoxResNet: Deep Voxelwise Residual Networks for Volumetric Brain Segmentation [article]

Hao Chen, Qi Dou, Lequan Yu, Pheng-Ann Heng
2016 arXiv   pre-print
Recently deep residual learning with residual units for training very deep neural networks advanced the state-of-the-art performance on 2D image recognition tasks, e.g., object detection and segmentation. However, how to fully leverage contextual representations for recognition tasks from volumetric data has not been well studied, especially in the field of medical image computing, where a majority of image modalities are in volumetric format. In this paper we explore the deep residual learning
more » ... on the task of volumetric brain segmentation. There are at least two main contributions in our work. First, we propose a deep voxelwise residual network, referred as VoxResNet, which borrows the spirit of deep residual learning in 2D image recognition tasks, and is extended into a 3D variant for handling volumetric data. Second, an auto-context version of VoxResNet is proposed by seamlessly integrating the low-level image appearance features, implicit shape information and high-level context together for further improving the volumetric segmentation performance. Extensive experiments on the challenging benchmark of brain segmentation from magnetic resonance (MR) images corroborated the efficacy of our proposed method in dealing with volumetric data. We believe this work unravels the potential of 3D deep learning to advance the recognition performance on volumetric image segmentation.
arXiv:1608.05895v1 fatcat:xvg53rucyvgjrookcm73kgymxq

Anti-inflammatory and Analgesic Effects of Polygonum orientale L. Extracts

Kai-Jun Gou, Rui Zeng, Yan Dong, Qi-Qi Hu, Huang-Wan-Yin Hu, Katherine G. Maffucci, Qi-Ling Dou, Qing-Bo Yang, Xu-Hua Qin, Yan Qu
2017 Frontiers in Pharmacology  
and Purpose: Polygonum orientale L. (family: Polygonaceae), named Hongcao in China, is a Traditional Chinese Medicinal and has long been used for rheumatic arthralgia and rheumatoid arthritis. However, no pharmacological and mechanism study to confirm these clinic effects have been published. In this investigation, the anti-inflammatory, analgesic effects and representative active ingredient compounds of P. orientale have been studied. Methods: Dried small pieces of the stems and leaves of P.
more » ... ientale were decocted with water and partitioned successively to obtain ethyl acetate and ethyl ether extract of P. orientale (POEa and POEe). Chemical compositions of them were analyzed by UPLC-Q-Exactive HRMS. Anti-inflammatory and analgesic effects of POEa and POEe were evaluated using xylene induced ear edema, carrageenan induced paw edema, Freunds' complete adjuvant induced arthritis, and formaldehyde induced pain in rat. Their mechanisms of anti-inflammatory and analgesic effects were also studied via assays of TNF-α, IL-1β, IL-6, and PGE2 in serum. Results: UPLC-Q-Exactive HRMS analysis showed that POEa and POEe mainly contained flavonoids including orientin, isoorientin, vitexin, luteolin, and quercetin. Furthermore, anti-inflammatory effects of POEa and POEe were evident in xylene induced ear edema. The paw edema in Freund's complete adjuvant and carrageenan were significantly (P < 0.05, 0.01) inhibited by POEa (5, 7.5 g/kg). POEe (7.5 g/kg) was significantly (P < 0.05, 0.01) inhibited Freunds' complete adjuvant induced paw edema and cotton pellet induced granuloma formation. Similarly, POEe significantly (P < 0.05, 0.01) inhibited the pain sensation in acetic acid induced writhing test. POEa (5, 7.5 g/kg) significantly (P < 0.05, 0.01) inhibited formaldehyde induced pain in both phases. POEa (7.5 g/kg) markedly (P < 0.05) prolonged the latency period of hot plate test after 30 and 60 min. The concentrations of TNF-α, IL-1β, IL-6, and PGE2 were significantly (P < 0.01) decreased by POEa (3.75, 5 g/kg). Conclusion: POEa and POEe have anti-inflammatory and analgesic effects, which was mainly relevant to the presence of flavonoids, including orientin, isoorientin, vitexin, luteolin, and quercetin. The mechanism of anti-inflammatory and analgesic effects of POEa may be to decrease the concentrations of TNF-α, IL-1β, IL-6, and PGE2 in serum. Keywords: Polygonum orientale L., UPLC-Q-Exactive HRMS, anti-inflammatory effect, analgesic effect, inflammatory mediators Frontiers in Pharmacology | www.frontiersin.org August 2017 | Volume 8 | Article 562 Gou et al. Anti-inflammatory and Analgesic Effects of P. orientale GRAPHICAL ABSTRACT | The experiment flow chart of anti-inflammatory and analgesic effects of P. orientale extracts. Frontiers in Pharmacology | www.frontiersin.org
doi:10.3389/fphar.2017.00562 pmid:28912714 pmcid:PMC5582316 fatcat:2wzxysa4s5d65fiv2vafk5icny

Accurate Grid Keypoint Learning for Efficient Video Prediction [article]

Xiaojie Gao, Yueming Jin, Qi Dou, Chi-Wing Fu, Pheng-Ann Heng
2021 arXiv   pre-print
Corresponding author at: qdou@cse.cuhk.edu.hk (Qi Dou).  ...  Dou, C.-W. Fu, and P.-A. Heng are with the Department of Computer Science and Engineering, The Chinese University of Hong Kong, China. Q. Dou is also with the CUHK T Stone Robotics Institute. P.-A.  ... 
arXiv:2107.13170v1 fatcat:2ooq3fmo7reuhlzvv2yv5znhky
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