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Applications of a Deep Neural Network to Illustration Art Style Design of City Architectural
( Yue Wang ),( Jia-wei Zhao ),( Ming-yue Zheng ),( Ming-yu Li ),( Xue Sun ),( Hao Liu ),( Zhen Liu ) 한국정보처리학회 2024 Journal of information processing systems Vol.20 No.1
With the continuous advancement of computer technology, deep learning models have emerged as innovative tools in shaping various aspects of architectural design. Recognizing the distinctive perspective of children, which differs significantly from that of adults, this paper contends that conventional standards may not always be the most suitable approach in designing urban structures tailored for children. The primary objective of this study is to leverage neural style networks within the design process, specifically adopting the artistic viewpoint found in children's illustrations. By combining the aesthetic paradigm of urban architecture with inspiration drawn from children's aesthetic preferences, the aim is to unearth more creative and subversive aesthetics that challenge traditional norms. The selected context for exploration is the landmark buildings in Qingdao City, Shandong Province, China. Employing the neural style network, the study uses architectural elements of the chosen buildings as content images while preserving their inherent characteristics. The process involves artistic stylization inspired by classic children's illustrations and images from children's picture books. Acting as a conduit for deep learning technology, the research delves into the prospect of seamlessly integrating architectural design styles with the imaginative world of children's illustrations. The outcomes aim to provide fresh perspectives and effective support for the artistic design of contemporary urban buildings.
The New Strategy of Object-Based Directional Query
Run-tao liu,Yan-ming Wang,Zhen-guo Zhao,Guang -Yue Tian 보안공학연구지원센터 2014 International Journal of Database Theory and Appli Vol.7 No.6
To increase directional query efficiency, based on the study of existing algorithms of directional query, new pruning rules for directional query were given, combined with the new index structure MB-tree. The rules exclude the MBRs outside the query area and output all leaf nodes in the MBRs inside the query area. Based on the orders defined in MB-tree, a new algorithm of directional query is given combining with MB-tree by using recursive method, and the new algorithm can reduce I/O cost effectively. Experiment showed that the new directional query algorithm reduces the number of visited nodes, decreases I/O cost, and improves the efficiency of directional query.
Effect of Kai Xin San on Learning and Memory in a Rat Model of Paradoxical Sleep Deprivation
Yuan Hu,Ming Liu,Ping Liu,Juan-Juan Yan,Ming-Yue Liu,Gang-Qiang Zhang,Xiao-Jiang Zhou,Bing-Ying Yu 한국식품영양과학회 2013 Journal of medicinal food Vol.16 No.4
The present study aimed to evaluate the effect of kai xin san (KXS, at doses of 500, 250, and 125 mg/kg body weight per day), a well-known traditional Chinese medicine, on learning and memory in paradoxical sleep deprivation (PSD)-induced cognition deficit rats. Two behavior tests (the Open Field test and the Morris water maze task) were used for testing the effects of KXS on a PSD-induced learning and memory deficit model. Furthermore, its effect on the glutamic acid (GLU) and γ-amino-butyric acid (GABA) levels in the brain tissue, brain-derived neurotrophic factor (BDNF), cyclic AMP response element binding protein (CREB), and phosphorylated-CREB (p-CREB) expression in the hippocampus was also tested. KXS exerted the greatest cognition against the 48 h PSD-induced cognitive deficit and these effects may be mediated by decreasing the GLU and GABA levels and increasing the levels of BDNF, CREB, and p-CREB. This study indicates that the effect of KXS on learning and memory in a rat model of PSD could be associated with the modulation of neurotransmitter levels and the expression of some genes in the brain that contribute to memory functions.
Patient and Care Delays of Breast Cancer in China
Yue-Lin Li,Ya-Chao Qin,Lu-Ying Tang,Yu-Huang Liao,Wei Zhang,Xiao-Ming Xie,Qiang Liu,Ying Lin,Ze-Fang Ren 대한암학회 2019 Cancer Research and Treatment Vol.51 No.3
Purpose This study differentiates patient and care delays of breast cancer and explores the related factors as well as the associations with the prognosis in Guangzhou, a southern city of China. Materials and Methods A cohort of female incident breast cancer patients (n=1,551) was recruited from October 2008 to March 2012 and followed up until January 1, 2016 (n=1,374) in the affiliated hospitals of Sun Yat-sen University. The factors associated with patient and care delays were analyzed with multivariable logistic models. Cox proportional hazards regression models were constructed to estimate the impacts of the delays on the prognosis. Results There were 40.4% patient delay (! 3 months) and 15.5% care delay (! 1 month). The patient delay, but not the care delay, was significantly related to the clinical stage and consequently worsened the prognosis of breast cancer (hazard ratio, 1.45; 95% confidence interval, 1.09 to 1.91 for progression-free survival). The factors related to an increased patient delay included premenopausal status, history of benign breast disease, and less physical examination. Conclusion Patient delay was the main type of delay in Guangzhou and resulted in higher clinical stage and poor prognosis of breast cancer. Screening for breast cancer among premenopausal women may be an effective way to reduce this delay.
Liu, Jia,Ge, Yang-Yang,Zhu, Hong-Cheng,Yang, Xi,Cai, Jing,Zhang, Chi,Lu, Jing,Zhan, Liang-Liang,Qin, Qin,Yang, Yan,Yang, Yue-Hua,Zhang, Hao,Chen, Xiao-Chen,Liu, Zhe-Ming,Ma, Jian-Xin,Cheng, Hong-Yan,S Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.16
Radiation therapy is an important treatment for head and neck squamous cell carcinoma (HNSCC). However, how to promote radiation sensitivity in HNSCC remains a challenge. This study aimed to investigate the radiosensitizing effects of fenofibrate on HNSCC and explore the underlying mechanisms. HNSCC cell lines CNE-2 and KB were subjected to ionizing radiation (IR), in the presence or absence of fenofibrate treatment. Cell growth and survival, apoptosis and cell cycle were evaluated. In addition, CNE-2 cells were xenografted into nude mice and subjected to IR and/or fenofibrate treatment. The expression of cyclinB and CDK1 was detected by Western blotting. Our results showed that fenofibrate efficiently radiosensitized HNSCC cells and xenografts in mice, and induced apoptosis and G2/M arrest via reducing the activity of the CDK1/cyclinB1 kinase complex. These data suggest that fenofibrate could be a promising radiosensitizer for HNSCC radiotherapy.
Ming-Xiang Xiong,Guangming Chen,Yue-Ling Long,Hairui Cui,Yaoming Liu 국제구조공학회 2022 Steel and Composite Structures, An International J Vol.43 No.2
Recycled aggregate concrete (RAC) is rarely used in load-carrying structural members. To widen its structural application, the compressive behavior of a promising type of composite column, steel-fiber reinforced polymer (FRP) doubletube confined RAC column, has been experimentally and analytically investigated in this study. The objectives are the different performance of such columns from their counterparts using natural aggregate concrete (NAC) and the different mechanisms of the double-tube and single-tube confined concrete. The single-tube confined concrete refers to that in concrete-filled steel tubular (CFST) columns and concrete-filled FRP tubular (CFFT) columns. The test results showed that the use of recycled coarse aggregates (RCA) affected the axial load-strain response in terms of deformation capacity but such effect could be eliminated with the increasing confinement. The composite effect can be triggered by the double confinement of the steel and carbon FRP (CFRP) tubes but not by the steel and polyethylene terephthalate (PET) FRP tubes. The proposed analysis-oriented stress-strain model is capable to capture the load-deformation history of such steel-FRP double-tube confined concrete columns under axial compression.
Supervised-learning-based algorithm for color image compression
Liu, Xue-Dong,Wang, Meng-Yue,Sa, Ji-Ming Electronics and Telecommunications Research Instit 2020 ETRI Journal Vol.42 No.2
A correlation exists between luminance samples and chrominance samples of a color image. It is beneficial to exploit such interchannel redundancy for color image compression. We propose an algorithm that predicts chrominance components Cb and Cr from the luminance component Y. The prediction model is trained by supervised learning with Laplacian-regularized least squares to minimize the total prediction error. Kernel principal component analysis mapping, which reduces computational complexity, is implemented on the same point set at both the encoder and decoder to ensure that predictions are identical at both the ends without signaling extra location information. In addition, chrominance subsampling and entropy coding for model parameters are adopted to further reduce the bit rate. Finally, luminance information and model parameters are stored for image reconstruction. Experimental results show the performance superiority of the proposed algorithm over its predecessor and JPEG, and even over JPEG-XR. The compensation version with the chrominance difference of the proposed algorithm performs close to and even better than JPEG2000 in some cases.
Characteristics of registered studies for Coronavirus disease 2019 (COVID-19): a systematic review
Ming Yang,Ya-xi Shang,Zi-yu Tian,Min Xiong,Chun-li Lu,Jiang Yue,Zhang Yao,Zhang Ying-ying,Jin Xin-yan,Jin Qiu-bai,Zhang Ying-ying,Willcox Merlin L.,Liu Jian-ping 한국한의학연구원 2020 Integrative Medicine Research Vol.9 No.3
Background: The World Health Organization characterized the Coronavirus disease 2019 (COVID-19) as a pandemic on March 11th. Many clinical trials on COVID-19 have been registered, and we aim to review the study characteristics and provide guidance for future trials to avoid duplicated effort. Methods: Studies on COVID-19 registered before March 3rd, 2020 on eight registry platforms worldwide were searched and the data of design, participants, interventions, and outcomes were extracted and analyzed. Results: Three hundred and ninety-three studies were identified and 380 (96.7%) were from mainland China, while 3 in Japan, 3 in France, 2 in the US, and 3 were international collaborative studies. Two hundred and sixty-six (67.7%) aimed at therapeutic effect, others were for prevention, diagnosis, prognosis, etc. Two hundred and two studies (51.4%) were randomized controlled trials. Two third of therapeutic studies tested Western medicines including antiviral drugs (17.7%), stem cell and cord blood therapy (10.2%), chloroquine and derivatives (8.3%), 16 (6.0%) on Chinese medicines, and 73 (27.4%) on integrated therapy of Western and Chinese medicines. Thirty-one studies among 266 therapeutic studies (11.7%) used mortality as primary outcome, while the most designed secondary outcomes were symptoms and signs (47.0%). Half of the studies (45.5%) had not started recruiting till March 3rd. Conclusion: Inappropriate outcome setting, delayed recruitment and insufficient numbers of new cases in China implied many studies may fail to complete. Strategies and protocols of the studies with robust and rapid data sharing are warranted for emergency public health events, helping the timely evidence-based decision-making.