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Liu Shih-Hao: Pioneer of translational medicine in China

NaiShi Li
2010 Science China Life Sciences  
Liu Shih-Hao, and serves as an important and revelatory lesson for us all. translational medicine, Liu Shih-Hao Citation:  ...  Liu Shih-Hao, the founder of endocrinology in China, who was particularly renowned for his early work in calcium and phosphorus metabolism.  ...  Liu Shih-Hao Liu Shih-Hao (1900 -1974 (Figures 1 and 2 In his last year as a medical student at PUMC, Liu Shih-Hao wrote his first paper entitled "The Influence of Cod Liver Oil on the Calcium and  ... 
doi:10.1007/s11427-010-4100-7 pmid:21072689 fatcat:z3awmo4zhbf7nfmishpxlzc6n4

On Poetic Discourses and Ways of Expression of 'Empty' and 'Silence' Categories in the Chinese Lyric Poetry of Six Dynasties (Liu Сhao, III–VI A.D.) and Tang (VII–X) Epochs

Marina Kravtsova
2014 ˜The œPolish Journal of Aesthetics  
Liu: Liu 1962: 41) . g.  ...  (Gu & Liu 2005: III, 1158) 14 其始也. 皆收視反聼. 耽思傍訊. 精騖八極. 心游萬仞.  ... 
doaj:ff7655c8ae9940e9847397a236f6b4fa fatcat:e5ijd2b72bf4xbjke43vgl7mte

Knowledge Mining with Scene Text for Fine-Grained Recognition [article]

Hao Wang, Junchao Liao, Tianheng Cheng, Zewen Gao, Hao Liu, Bo Ren, Xiang Bai, Wenyu Liu
2022 arXiv   pre-print
Recently, the semantics of scene text has been proven to be essential in fine-grained image classification. However, the existing methods mainly exploit the literal meaning of scene text for fine-grained recognition, which might be irrelevant when it is not significantly related to objects/scenes. We propose an end-to-end trainable network that mines implicit contextual knowledge behind scene text image and enhance the semantics and correlation to fine-tune the image representation. Unlike the
more » ... xisting methods, our model integrates three modalities: visual feature extraction, text semantics extraction, and correlating background knowledge to fine-grained image classification. Specifically, we employ KnowBert to retrieve relevant knowledge for semantic representation and combine it with image features for fine-grained classification. Experiments on two benchmark datasets, Con-Text, and Drink Bottle, show that our method outperforms the state-of-the-art by 3.72\% mAP and 5.39\% mAP, respectively. To further validate the effectiveness of the proposed method, we create a new dataset on crowd activity recognition for the evaluation. The source code and new dataset of this work are available at https://github.com/lanfeng4659/KnowledgeMiningWithSceneText.
arXiv:2203.14215v1 fatcat:q7nprbaqqfbjdcyglwq27s5s4i

Hyperbaric oxygen therapy can ameliorate the EMT phenomenon in keloid tissue

Mingzi Zhang, Shu Liu, Enling Guan, Hao Liu, Xinhang Dong, Yan Hao, Xin Zhang, Pengxiang Zhao, Xuehua Liu, Shuyi Pan, Youbin Wang, Xiaojun Wang (+1 others)
2018 Medicine  
Hyperbaric oxygen therapy (HBOT) has been widely used in the clinical setting. In this study, HBOT therapy was evaluated for its ability to ameliorate the epithelial-to-mesenchymal transition (EMT) phenomenon in keloid tissue. Keloid patients were randomly divided into two groups: keloid patients (K group, 9 patients) and keloid patients receiving HBOT (O group, 9 patients). A third group with normal skin (S group, 9 patients) was established for control. Before HBOT and surgery, a laser
more » ... flowmeter was used to measure the keloid blood supply of patients in the O group. Hematoxylin and eosin (H&E) staining was used to observe morphology. E-cadherin, ZO-1, vimentin, fibronectin, vascular endothelial growth factor (VEGF), and hypoxia inducible factor (HIF)-1α were measured by immunofluorescence staining and Western blot analysis. Real-time quantitative polymerase chain reaction (RT-qPCR) was used to evaluate the mRNA expression level of these factors as well. In the O group, keloid blood perfusion was significantly reduced after patients received HBOT. Compared with the K group, lower expression levels of vimentin, vibronectin, VEGF, and HIF-1α were observed in the O group, whereas the expression of E-cadherin and ZO-1 was significantly higher. The mRNA expression of E-cadherin and ZO-1 was also increased after HBOT. The expression levels of factors related to the EMT phenomenon were significantly reversed in keloid patients after they received HBOT, indicating that HBOT may be an effective therapy against the EMT phenomenon in keloid patients.
doi:10.1097/md.0000000000011529 pmid:30024539 pmcid:PMC6086457 fatcat:bnxjluqbfzebxkyn6zirv67fw4

Uniting the order and disorder dynamics in photoexcited VO2 [article]

Hao-Wen Liu, Wen-Hao Liu, Zhao-Jun Suo, Zhi Wang, Jun-Wei Luo, Shu-Shen Li, Lin-Wang Wang
2021 arXiv   pre-print
Liu, Wen-Hao Liu.  ...  Liu, Wen-Hao Liu.  ... 
arXiv:2112.02463v1 fatcat:5bfyjgqvavcffgsf6eag2syefy

Decentralized Dynamic Optimization for Power Network Voltage Control [article]

Hao Jan Liu, Wei Shi, Hao Zhu
2016 arXiv   pre-print
Voltage control in power distribution networks has been greatly challenged by the increasing penetration of volatile and intermittent devices. These devices can also provide limited reactive power resources that can be used to regulate the network-wide voltage. A decentralized voltage control strategy can be designed by minimizing a quadratic voltage mismatch error objective using gradient-projection (GP) updates. Coupled with the power network flow, the local voltage can provide the
more » ... us gradient information. This paper aims to analyze the performance of this decentralized GP-based voltage control design under two dynamic scenarios: i) the nodes perform the decentralized update in an asynchronous fashion, and ii) the network operating condition is time-varying. For the asynchronous voltage control, we improve the existing convergence condition by recognizing that the voltage based gradient is always up-to-date. By modeling the network dynamics using an autoregressive process and considering time-varying resource constraints, we provide an error bound in tracking the instantaneous optimal solution to the quadratic error objective. This result can be extended to more general constrained dynamic optimization problems with smooth strongly convex objective functions under stochastic processes that have bounded iterative changes. Extensive numerical tests have been performed to demonstrate and validate our analytical results for realistic power networks.
arXiv:1607.06890v1 fatcat:nxr5tbpipncuvlm3iqupmi7rre

Isolation, Optimization of Fermentation Conditions, and Characterization of an Exopolysaccharide from Pseudoalteromonas agarivorans Hao 2018

Lujiang Hao, Wenlin Liu, Kai Liu, Kai Shan, Chunlei Wang, Chenxiang Xi, Jianbang Liu, Qiuping Fan, Xiaofei Zhang, Xiaoping Lu, Yanrui Xu, RuiWen Cao (+3 others)
2019 Marine Drugs  
In this study, an EPS produced by Pseudoalteromonas agarivorans Hao 2018 was isolated and purified, and its fermentation conditions were optimized.  ...  The marine bacterium Pseudoalteromonas agarivorans Hao 2018 was cultured for 8 h in an Erlenmeyer flask at 25 • C.  ...  Results Extraction and Purification of EPS Pseudoalteromonas agarivorans Hao 2018 was isolated from the Yellow Sea of China.  ... 
doi:10.3390/md17120703 pmid:31847202 pmcid:PMC6950073 fatcat:sxteealbwzdhjmvz5corgkbeoi

Research Progress in Improving the Rate Performance of LiFePO4 Cathode Materials

Sixu Deng, Hao Wang, Hao Liu, Jingbing Liu, Hui Yan
2014 Nano-Micro Letters  
Olivine lithium iron phosphate (LiFePO4) is considered as a promising cathode material for high power-density lithium ion battery due to its high capacity, long cycle life, environmental friendly, low cost, and safety consideration. The theoretical capacity of LiFePO4 based on one electron reaction is 170 mAh g −1 at the stable voltage plateau of 3.5 V vs. Li/Li + . However, the instinct drawbacks of olivine structure induce a poor rate performance, resulting from the low lithium ion diffusion
more » ... ate and low electronic conductivity. In this review, we summarize the methods for enhancing the rate performance of LiFePO4 cathode materials, including carbon coating, elements doping, preparation of nanosized materials, porous materials and composites, etc. Meanwhile, the advantages and disadvantages of above methods are also discussed.
doi:10.5101/nml140023r fatcat:surupjiirjaqtgagiprboh53j4

Single-atom catalysts for high-energy rechargeable batteries

Hao Tian, Ailing Song, Huajun Tian, Jian Liu, Guangjie Shao, Hao Liu, Guoxiu Wang
2021 Chemical Science  
Acknowledgements Prof Hao Liu thanks the support from the Australia Research Council (ARC) Future Fellowship (FT180100705) and Discovery Project (DP180102297, DP200101249 and DP210101389).  ... 
doi:10.1039/d1sc00716e pmid:34168819 pmcid:PMC8188463 fatcat:yjnexmifnrf2lnadqpa3wul2ha

Large chest keloids treatment with expanded parasternal intercostal perforator flap

Hao Liu, Fuqiang Sui, Shu Liu, Kexin Song, Yan Hao, Youbin Wang
2021 BMC Surgery  
These can be removed Open Access *Correspondence: wybenz@sina.com † Hao Liu and Fuqiang Sui contributed equally to this article 1 Department of Plastic Surgery, Peking Union Medical College Hospital, Beijing  ... 
doi:10.1186/s12893-021-01116-3 pmid:33743633 fatcat:2svvvwgwjzd5rk7a77cu6x7pou

Long Short-Term Preference Modeling for Continuous-Time Sequential Recommendation [article]

Huixuan Chi, Hao Xu, Hao Fu, Mengya Liu, Mengdi Zhang, Yuji Yang, Qinfen Hao, Wei Wu
2022 arXiv   pre-print
Furthermore, both user's long-term and short-term preferences are of great importance for recommendation (Liu et al. 2018 ), but existing dynamic graph-based methods do not combine these two types of  ...  They could be roughly summarized into two categories: one attempts to capture short-term preference from user's last few interacted items (Li et al. 2017; Liu et al. 2018; Wu et al. 2019; Kang and McAuley  ... 
arXiv:2208.00593v1 fatcat:tl57tvmpnfbvdleb7y4lo2eaku

An ATF4-ATG5 signaling in hypothalamic POMC neurons regulates obesity

Yuzhong Xiao, Yalan Deng, Feixiang Yuan, Tingting Xia, Hao Liu, Zhigang Li, Shanghai Chen, Zhixue Liu, Hao Ying, Yi Liu, Qiwei Zhai, Feifan Guo
2017 Autophagy  
ATF4 (activating transcription factor 4) is an important transcription factor that has many biological functions, while its role in hypothalamic POMC (pro-opiomelanocortin-a) neurons in the regulation of energy homeostasis has not been explored. We recently discovered that mice with an Atf4 deletion specific to POMC neurons (PAKO mice) are lean and have higher energy expenditure. Furthermore, these mice are resistant to high-fat diet (HFD)-induced obesity and obesity-related metabolic
more » ... Mechanistically, we found the expression of ATG5 (autophagy-related 5) is upregulated in POMC neurons of PAKO mice, and ATF4 regulates ATG5 expression by binding directly to its promoter. Mice with Atf4 and Atg5 double knockout in POMC neurons have reduced energy expenditure and gain more fat mass compared with PAKO mice under a HFD. Finally, the effect of Atf4 knockout in POMC neurons is possibly mediated by enhanced ATG5-dependent macroautophagy/autophagy and a-melanocyte-stimulating hormone (a-MSH) production in the hypothalamus. Together, this work not only identifies a beneficial role for ATF4 in hypothalamic POMC neurons in the regulation of obesity, but also provides a new potential therapeutic target for obesity and obesity-related metabolic diseases.
doi:10.1080/15548627.2017.1307488 pmid:28350524 pmcid:PMC5486369 fatcat:xaayltgjyzf6xgk2rqtqj7ekqu

Enhanced Hydrogenation Performance over Hollow Structured Co‐CoO x @N‐C Capsules

Hao Tian, Xiaoyan Liu, Liubing Dong, Xiaomin Ren, Hao Liu, Cameron Alexander Hurd Price, Ying Li, Guoxiu Wang, Qihua Yang, Jian Liu
2019 Advanced Science  
It is desirable to design nonprecious metal nanocatalysts with high stability and catalytic performance for fine chemicals production. Here, a method is reported for the preparation of cobalt metal and cobalt oxide cores confined within nanoporous nitrogen-doped hollow carbon capsules. Core-shell structured Zn/Co-ZIF@polymer materials are fabricated through a facile coating polymer strategy on the surface of zeolitic imidazolate frameworks (ZIF). A series of hollow carbon capsules with cobalt
more » ... tal and cobalt oxide are derived from a facile confined pyrolysis of Zn/Co-ZIF@polymer. The hollow Co-CoOx@N-C capsules can prevent sintering and agglomeration of the cobalt nanoparticles and the nanoporous shell allows for efficient mass transport. The specific surface area and Co particle size are optimized through finely tuning the original Zn content in ZIF particles, thus enhancing overall catalytic activity. The yolk-shell structured Zn4Co1Ox@carbon hollow capsules are shown to be a highly active and selective catalyst (selectivity >99%) for hydrogenation of nitrobenzene to aniline. Furthermore, Zn4Co1Ox@carbon hollow particles show superior catalytic stability, and no deactivation after 8 cycles of reaction. The hollow Co-CoOx@N-C capsules may shed light on a green and sustainable catalytic process for fine chemicals production.
doi:10.1002/advs.201900807 pmid:31763134 pmcid:PMC6865004 fatcat:tipzzenerzga3klehaomi53ttq

Photoinduced charge density wave transition like a puppet on a string [article]

Zhao-Jun Suo, Wen-Hao Liu, Zhi Wang, Hao-Wen Liu, Jun-Wei Luo, Shu-Shen Li, Lin-Wang Wang
2021 arXiv   pre-print
Photoinduced charge density wave transition like a puppet on a string Zhao-Jun Suo1,2, Wen-Hao Liu1,2, Zhi Wang1, Hao-Wen Liu1,2, Jun-Wei Luo1,2,3  ...  Liu, Adv. Mater. 30, 1704382 (2018). [53] H. Walter, Elementary Electronic Structure (World Scientific, 1999). [54] W.-H. Liu, J.-W. Luo, S.-S. Li, and L.-W.  ... 
arXiv:2112.12289v1 fatcat:sti77nkkq5fsnhgn5lkbdmulwm

Temporal Interlacing Network [article]

Hao Shao, Shengju Qian, Yu Liu
2020 arXiv   pre-print
For a long time, the vision community tries to learn the spatio-temporal representation by combining convolutional neural network together with various temporal models, such as the families of Markov chain, optical flow, RNN and temporal convolution. However, these pipelines consume enormous computing resources due to the alternately learning process for spatial and temporal information. One natural question is whether we can embed the temporal information into the spatial one so the
more » ... in the two domains can be jointly learned once-only. In this work, we answer this question by presenting a simple yet powerful operator – temporal interlacing network (TIN). Instead of learning the temporal features, TIN fuses the two kinds of information by interlacing spatial representations from the past to the future, and vice versa. A differentiable interlacing target can be learned to control the interlacing process. In this way, a heavy temporal model is replaced by a simple interlacing operator. We theoretically prove that with a learnable interlacing target, TIN performs equivalently to the regularized temporal convolution network (r-TCN), but gains 4 6 challenging benchmarks. These results push the state-of-the-art performances of video understanding by a considerable margin. Not surprising, the ensemble model of the proposed TIN won the 1^st place in the ICCV19 - Multi Moments in Time challenge. Code is made available to facilitate further research at https://github.com/deepcs233/TIN
arXiv:2001.06499v1 fatcat:d633ucqhh5ewljrtgtr25ivpfm
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