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| 1 | A 'Yellow Cap' on Quaternary Red Clay in Jiujiang,Jiangxi Province显示文摘A thin layer of yellow-brown-colored earth was generally found on Quaternary red clay in Jiujiang,Jiangxi Province. A typical profile was established. Both particle size distribution and REE (rare earthelements) characteristics of the yellow-brown-colored earth of the profile fully suggested its aeolian origin andclose similarity to Naming Xiashu loess. The study also implied aeolian origin of the underlying Quaternaryred clap Compared with the red clay, the yellow- brown- colored earth was less weathered because of its lowercontent of free iron and higher mole ratios of SiO2/A12O3 and SiO2/(Fe2O3+A12O3 ) as well as its lessdeveloped chemical microtextures of quartz grains.In order to study the aged of the two deposits comparatively, the thermoluminescent dating method wasused. As a result, the bottom of the yellow-brown-colored esrth was dated to 6015 ka B. P. and the upperpart of the red clay 38854 ka B. P. It was suggested that the yellow- browm- colored earth was formed inthe Late Pleistocene and was probably the aeolian deposit of the Last Glacial, which corresponded with theMalan loess in the Loess Plateau of the northwestern part of China; while the underlying red clay was formedin the Middle Pleistocene.A 'yellow cap' on Quaternary red clay in Jiujiang implied a great climatic and environmental varistionin the beginning of the Late Pleistocene in the southern pot of China, especially in the middle and lowerreaches of the Yangtze River. The eveal not only halted the rubification, once dominating the region, butalso produced a widespread covering of aeolian deposit, as only occurred in the cold and dry environment. | HU XUEFENG GONG ZITONG(1State Key Laboratory of Loess and Quaternary Geology, the Chinese Academy of Sciences, P. O. Box: 17,xi’an 710054 (China))(2Institute of Soil Science, the Chinese Acodemy of Sciences, P. O. Box 821, Nanjing 210008 (China)) | 1999 | Pedosphere1999，9，4： | 9 |
| 2 | Empirical Comparisons of Deep Learning Networks on Liver Segmentation显示文摘Accurate segmentation of CT images of liver tumors is an important adjunct for the liver diagnosis and treatment of liver diseases.In recent years,due to the great improvement of hard device,many deep learning based methods have been proposed for automatic liver segmentation.Among them,there are the plain neural network headed by FCN and the residual neural network headed by Resnet,both of which have many variations.They have achieved certain achievements in medical image segmentation.In this paper,we firstly select five representative structures,i.e.,FCN,U-Net,Segnet,Resnet and Densenet,to investigate their performance on liver segmentation.Since original Resnet and Densenet could not perform image segmentation directly,we make some adjustments for them to perform live segmentation.Our experimental results show that Densenet performs the best on liver segmentation,followed by Resnet.Both perform much better than Segnet,U-Net,and FCN.Among Segnet,U-Net,and FCN,U-Net performs the best,followed by Segnet.FCN performs the worst. | Yi Shen Victor S.Sheng Lei Wang Jie Duan Xuefeng Xi Dengyong Zhang Ziming Cui | 2020 | Computers, Materials & Continua2020，，3： | 1 |
| 3 | 显示文摘 | Gao Xuefeng Yan Xin Yao Xi | 2007 | Advanced Materials2007，19，17： | 1 |
| 4 | Age-related change in kidney function, its influencing factors, and association with asymptomatic carotid atherosclerosis in healthy individuals—A 5-year follow-up study显示文摘 | Shimin Jiang Xuefeng Sun Hongxia Gu Yunshuang Chen Chunsheng Xi Xi Qiao Xiangmei Chen | 2012 | Maturitas2012，，3： | 1 |
| 5 | Magnetic mineralogy of the Hongqiling Cu-Ni sulphide deposit: Implications for ore genesis显示文摘Pyrrhotite is one of the common ore minerals in Cu-Ni sulphide deposits, but only monoclinic pyrrhotite is ferromagnetic at room temperature. X-ray and EPA analyses reveal that most pyrrhotite forming sideronitic texture in the Hongqiling Cu-Ni sulphide deposit is monoclinic, but that in the massive ore is a mixture of monoclinic and hexagonal pyrrhotites. Differential thermal and magnetic- thermogravimetric analyses of massive ore indicate a magnetic transition and heat absorption at 323℃, suggesting that this temperature is the thermomagnetic and phase transition point of pyrrhotite. For massive pyrrhotite ores heated at 400oC for 30 h and then quenched by cool water, the monoclinic pyrrhotite (mpo) transforms completely into the hexagonal pyrrhotite (hpo). However, all the pyrrhotites resulting from slow cooling of the sample in air are mpo. These results indicate that transformation between hpo and mpo depends upon the cooling rate. Therefore, massive ores in this deposit might have been formed via rapid cooling of ore melts. On the other hand, it is significant to study the effect of the ratio of the magnetite in total ores on the genesis of magmatic Cu-Ni suphide deposits. | Xi Aihua Ge Yuhui Cai Yuanfeng Zhang Xuefeng | 2007 | Progress in Natural Science:Materials International2007，17，10： | 1 |
| 6 | Adverse effects of carbamazepine, phenytoin, valproate and lamotrigine monotherapy in epileptic adult Chinese patients显示文摘 | Kebin Zeng Xuefeng Wang Zhiqing Xi Yong Yan | 2009 | Clinical Neurology and Neurosurgery2009，，4： | 1 |
| 7 | Flowers: precious food and medicine resources显示文摘Flower plants are popular all over the world and important sources of ornamental plants,bioactive molecules and nutrients.Flowers have a wide range of biological activities and beneficial pharmacological effects.Flowers and their active ingredients are becoming more and more popular in the preparation of food,drugs and industrial products.This paper summarizes the active ingredients,pharmacological activities and applications in the pharmaceutical and food industries of flower plants in recent years.In addition,the possible molecular mechanism of pharmacological effects of flower plants were also discussed.302 active constituents from 55 species of flower plants were summarized,including flavonoids(115),terpenoids(90),phenylpropanoids(20),alkaloids(13),organic acids(27)and others(37).The pharmacological effects of flower plants are very extensive,mainly including antioxidant,anti-inflammatory,anti-tumor,anti-virus,and hypoglycemic.The mechanisms of anti-inflammatory,anti-tumor and hypoglycemic activities present the characteristics of multi-way and multi-target.Because of its rich nutrients,bioactive ingredients and plant essential oils,and its wide sources,flower plants are widely used in food,beverage,cosmetics and drug research.Flower plants also play an important role in pharmaceutical industry,food industry and other fields. | Xuqiang Liu Senye Wang Lili Cui Huihui Zhou Yuhang Liu Lijun Meng Sitan Chen Xuefeng Xi Yan Zhang Wenyi Kang | 2023 | Food Science and Human Wellness2023，12，4： | 1 |
| 8 | “Ex situ” concept for toughening the RTMable BMI matrix composites Part I ; Improving the interlaminar fracture toughness显示文摘 | Cheng Qunfeng Fang Zhengping Yi Xiaosu An Xuefeng Bangming Tang Yahong Xi | 2008 | Journal of Applied Polymer Science2008，109，3： | 1 |
| 9 | The dry-style antifogging properties of mosquito compound eyes and artificial analogues prepared by soft lithography显示文摘 | GAO Xuefeng YAN Xin YAO Xi etal | 2007 | AdvMater2007，19，： | 1 |
| 10 | Feasibility and physics potential of detecting ^(8)B solar neutrinos at JUNO显示文摘The Jiangmen Underground Neutrino Observatory(JUNO)features a 20 kt multi-purpose underground liquid scintillator sphere as its main detector.Some of JUNO's features make it an excellent location for^8B solar neutrino measurements,such as its low-energy threshold,high energy resolution compared with water Cherenkov detectors,and much larger target mass compared with previous liquid scintillator detectors.In this paper,we present a comprehensive assessment of JUNO's potential for detecting^8B solar neutrinos via the neutrino-electron elastic scattering process.A reduced 2 MeV threshold for the recoil electron energy is found to be achievable,assuming that the intrinsic radioactive background^(238)U and^(232)Th in the liquid scintillator can be controlled to 10^(-17)g/g.With ten years of data acquisition,approximately 60,000 signal and 30,000 background events are expected.This large sample will enable an examination of the distortion of the recoil electron spectrum that is dominated by the neutrino flavor transformation in the dense solar matter,which will shed new light on the inconsistency between the measured electron spectra and the predictions of the standard three-flavor neutrino oscillation framework.IfDelta m^(2)_(21)=4.8times10^(-5);(7.5times10^(-5))eV^(2),JUNO can provide evidence of neutrino oscillation in the Earth at approximately the 3sigma(2sigma)level by measuring the non-zero signal rate variation with respect to the solar zenith angle.Moreover,JUNO can simultaneously measureDelta m^2_(21)using^8B solar neutrinos to a precision of 20% or better,depending on the central value,and to sub-percent precision using reactor antineutrinos.A comparison of these two measurements from the same detector will help understand the current mild inconsistency between the value of Delta m^2_(21)reported by solar neutrino experiments and the KamLAND experiment. | Angel Abusleme Thomas Adam Shakeel Ahmad Sebastiano Aiello Muhammad Akram Nawab Ali Fengpeng An Guangpeng An Qi An Giuseppe Andronico Nikolay Anfimov Vito Antonelli Tatiana Antoshkina Burin Asavapibhop João Pedro Athayde Marcondes de André Didier Auguste Andrej Babic Wander Baldini Andrea Barresi Eric Baussan Marco Bellato Antonio Bergnoli Enrico Bernieri David Biare Thilo Birkenfeld Sylvie Blin David Blum Simon Blyth Anastasia Bolshakova Mathieu Bongrand Clément Bordereau Dominique Breton Augusto Brigatti Riccardo Brugnera Riccardo Bruno Antonio Budano Max Buesken Mario Buscemi Jose Busto Ilya Butorov Anatael Cabrera Hao Cai Xiao Cai Yanke Cai Zhiyan Cai Antonio Cammi Agustin Campeny Chuanya Cao Guofu Cao Jun Cao Rossella Caruso Cédric Cerna Jinfan Chang Yun Chang Pingping Chen Po-An Chen Shaomin Chen Shenjian Chen Xurong Chen Yi-Wen Chen Yixue Chen Yu Chen Zhang Chen Jie Cheng Yaping Cheng Alexander Chepurnov Davide Chiesa Pietro Chimenti Artem Chukanov Anna Chuvashova Gérard Claverie Catia Clementi Barbara Clerbaux Selma Conforti Di Lorenzo Daniele Corti Salvatore Costa Flavio Dal Corso Christophe De La Taille Jiawei Deng Zhi Deng Ziyan Deng Wilfried Depnering Marco Diaz Xuefeng Ding Yayun Ding Bayu Dirgantara Sergey Dmitrievsky Tadeas Dohnal Georgy Donchenko Jianmeng Dong Damien Dornic Evgeny Doroshkevich Marcos Dracos Frédéric Druillole Shuxian Du Stefano Dusini Martin Dvorak Timo Enqvist Heike Enzmann Andrea Fabbri Lukas Fajt Donghua Fan Lei Fan Can Fang Jian Fang Marco Fargetta Anna Fatkina Dmitry Fedoseev Vladko Fekete Li-Cheng Feng Qichun Feng Richard Ford Andrey Formozov Amélie Fournier Haonan Gan Feng Gao Alberto Garfagnini Alexandre Göttel Christoph Genster Marco Giammarchi Agnese Giaz Nunzio Giudice Franco Giuliani Maxim Gonchar Guanghua Gong Hui Gong Oleg Gorchakov Yuri Gornushkin Marco Grassi Christian Grewing Maxim Gromov Vasily Gromov Minghao Gu Xiaofei Gu Yu Gu Mengyun Guan Nunzio Guardone Maria Gul Cong Guo Jingyuan Guo Wanlei Guo Xinheng Guo Yuhang Guo Paul Hackspacher Caren Hagner Ran Han Yang Han Miao He Wei He Tobias Heinz Patrick Hellmuth Yuekun Heng Rafael Herrera Daojin Hong YuenKeung Hor Shaojing Hou Yee Hsiung Bei-Zhen Hu Hang Hu Jianrun Hu Jun Hu Shouyang Hu Tao Hu Zhuojun Hu Chunhao Huang Guihong Huang Hanxiong Huang Qinhua Huang Wenhao Huang Xingtao Huang Yongbo Huang Jiaqi Hui Wenju Huo Cédric Huss Safeer Hussain Antonio Insolia Ara Ioannisian Daniel Ioannisyan Roberto Isocrate Kuo-Lun Jen Xiaolu Ji Xingzhao Ji Huihui Jia Junji Jia Siyu Jian Di Jiang Xiaoshan Jiang Ruyi Jin Xiaoping Jing Cécile Jollet Jari Joutsenvaara Sirichok Jungthawan Leonidas Kalousis Philipp Kampmann Li Kang Michael Karagounis Narine Kazarian Amir Khan Waseem Khan Khanchai Khosonthongkee Patrick Kinz Denis Korablev Konstantin Kouzakov Alexey Krasnoperov Svetlana Krokhaleva Zinovy Krumshteyn Andre Kruth Nikolay Kutovskiy Pasi Kuusiniemi Tobias Lachenmaier Cecilia Landini Sébastien Leblanc Frederic Lefevre Liping Lei Ruiting Lei Rupert Leitner Jason Leung Demin Li Fei Li Fule Li Haitao Li Huiling Li Jiaqi Li Jin Li Kaijie Li Mengzhao Li Nan Li Nan Li Qingjiang Li Ruhui Li Shanfeng Li Shuaijie Li Tao Li Weidong Li Weiguo Li Xiaomei Li Xiaonan Li Xinglong Li Yi Li Yufeng Li Zhibing Li Ziyuan Li Hao Liang Hao Liang Jingjing Liang Jiajun Liao Daniel Liebau Ayut Limphirat Sukit Limpijumnong Guey-Lin Lin Shengxin Lin Tao Lin Jiajie Ling Ivano Lippi Fang Liu Haidong Liu Hongbang Liu Hongjuan Liu Hongtao Liu Hu Liu Hui Liu Jianglai Liu Jinchang Liu Min Liu Qian Liu Qin Liu Runxuan Liu Shuangyu Liu Shubin Liu Shulin Liu Xiaowei Liu Yan Liu Alexey Lokhov Paolo Lombardi Claudio Lombardo Kai Loo Chuan Lu Haoqi Lu Jingbin Lu Junguang Lu Shuxiang Lu Xiaoxu Lu Bayarto Lubsandorzhiev Sultim Lubsandorzhiev Livia Ludhova Fengjiao Luo Guang Luo Pengwei Luo Shu Luo Wuming Luo Vladimir Lyashuk Qiumei Ma Si Ma Xiaoyan Ma Xubo Ma Jihane Maalmi Yury Malyshkin Fabio Mantovani Francesco Manzali Xin Mao Yajun Mao Stefano MMari Filippo Marini Sadia Marium Cristina Martellini Gisele Martin-Chassard Agnese Martini Davit Mayilyan Axel Müller Ints Mednieks Yue Meng Anselmo Meregaglia Emanuela Meroni David Meyhöfer Mauro Mezzetto Jonathan Miller Lino Miramonti Salvatore Monforte Paolo Montini Michele Montuschi Nikolay Morozov Pavithra Muralidharan Massimiliano Nastasi Dmitry VNaumov Elena Naumova Igor Nemchenok Alexey Nikolaev Feipeng Ning Zhe Ning Hiroshi Nunokawa Lothar Oberauer Juan Pedro Ochoa-Ricoux Alexander Olshevskiy Domizia Orestano Fausto Ortica Hsiao-Ru Pan Alessandro Paoloni Nina Parkalian Sergio Parmeggiano Teerapat Payupol Yatian Pei Nicomede Pelliccia Anguo Peng Haiping Peng Frédéric Perrot Pierre-Alexandre Petitjean Fabrizio Petrucci Luis Felipe Piñeres Rico Oliver Pilarczyk Artyom Popov Pascal Poussot Wathan Pratumwan Ezio Previtali Fazhi Qi Ming Qi Sen Qian Xiaohui Qian Hao Qiao Zhonghua Qin Shoukang Qiu Muhammad Rajput Gioacchino Ranucci Neill Raper Alessandra Re Henning Rebber Abdel Rebii Bin Ren Jie Ren Taras Rezinko Barbara Ricci Markus Robens Mathieu Roche Narongkiat Rodphai Aldo Romani Bedřich Roskovec Christian Roth Xiangdong Ruan Xichao Ruan Saroj Rujirawat Arseniy Rybnikov Andrey Sadovsky Paolo Saggese Giuseppe Salamanna Simone Sanfilippo Anut Sangka Nuanwan Sanguansak Utane Sawangwit Julia Sawatzki Fatma Sawy Michaela Schever Jacky Schuler Cédric Schwab Konstantin Schweizer Dmitry Selivanov Alexandr Selyunin Andrea Serafini Giulio Settanta Mariangela Settimo Muhammad Shahzad Vladislav Sharov Gang Shi Jingyan Shi Yongjiu Shi Vitaly Shutov Andrey Sidorenkov FedorŠimkovic Chiara Sirignano Jaruchit Siripak Monica Sisti Maciej Slupecki Mikhail Smirnov Oleg Smirnov Thiago Sogo-Bezerra Julanan Songwadhana Boonrucksar Soonthornthum Albert Sotnikov Ondrej Sramek Warintorn Sreethawong Achim Stahl Luca Stanco Konstantin Stankevich DušanŠtefánik Hans Steiger Jochen Steinmann Tobias Sterr Matthias Raphael Stock Virginia Strati Alexander Studenikin Gongxing Sun Shifeng Sun Xilei Sun Yongjie Sun Yongzhao Sun Narumon Suwonjandee Michal Szelezniak Jian Tang Qiang Tang Quan Tang Xiao Tang Alexander Tietzsch Igor Tkachev Tomas Tmej Konstantin Treskov Andrea Triossi Giancarlo Troni Wladyslaw Trzaska Cristina Tuve Stefan van Waasen Johannes van den Boom Guillaume Vanroyen Nikolaos Vassilopoulos Vadim Vedin Giuseppe Verde Maxim Vialkov Benoit Viaud Cristina Volpe Vit Vorobel Lucia Votano Pablo Walker Caishen Wang Chung-Hsiang Wang En Wang Guoli Wang Jian Wang Jun Wang Kunyu Wang Lu Wang Meifen Wang Meng Wang Ruiguang Wang Siguang Wang Wei Wang Wenshuai Wang Xi Wang Xiangyue Wang Yangfu Wang Yaoguang Wang Yi Wang Yifang Wang Yuanqing Wang Yuman Wang Zhe Wang Zheng Wang Zhimin Wang Zongyi Wang Apimook Watcharangkool Lianghong Wei Wei Wei Yadong Wei Liangjian Wen Christopher Wiebusch Steven Chan-Fai Wong Bjoern Wonsak Diru Wu Fangliang Wu Qun Wu Wenjie Wu Zhi Wu Michael Wurm Jacques Wurtz Christian Wysotzki Yufei Xi Dongmei Xia Yuguang Xie Zhangquan Xie Zhizhong Xing Benda Xu Donglian Xu Fanrong Xu Jilei Xu Jing Xu Meihang Xu Yin Xu Yu Xu Baojun Yan Xiongbo Yan Yupeng Yan Anbo Yang Changgen Yang Huan Yang Jie Yang Lei Yang Xiaoyu Yang Yifan Yang Haifeng Yao Zafar Yasin Jiaxuan Ye Mei Ye Ugur Yegin Frédéric Yermia Peihuai Yi Xiangwei Yin Zhengyun You Boxiang Yu Chiye Yu Chunxu Yu Hongzhao Yu Miao Yu Xianghui Yu Zeyuan Yu Chengzhuo Yuan Ying Yuan Zhenxiong Yuan Ziyi Yuan Baobiao Yue Noman Zafar Andre Zambanini Pan Zeng Shan Zeng Tingxuan Zeng Yuda Zeng Liang Zhan Feiyang Zhang Guoqing Zhang Haiqiong Zhang Honghao Zhang Jiawen Zhang Jie Zhang Jingbo Zhang Peng Zhang Qingmin Zhang Shiqi Zhang Tao Zhang Xiaomei Zhang Xuantong Zhang Yan Zhang Yinhong Zhang Yiyu Zhang Yongpeng Zhang Yuanyuan Zhang Yumei Zhang Zhenyu Zhang Zhijian Zhang Fengyi Zhao Jie Zhao Rong Zhao Shujun Zhao Tianchi Zhao Dongqin Zheng Hua Zheng Minshan Zheng Yangheng Zheng Weirong Zhong Jing Zhou Li Zhou Nan Zhou Shun Zhou Xiang Zhou Jiang Zhu Kejun Zhu Honglin Zhuang Liang Zong Jiaheng Zou | 2021 | Chinese Physics C2021，45，2： | 0 |
| 11 | The Study of Tactical Missile's Airframe Digital Optimization Design显示文摘Digital design and optimal are very important in modern design.The traditional design methods and procedure are not fit for the modern missile weapons research and development.Digital design methods and optimal ideas were employed to deal with this problem.The disadvantages of the traditional missile’s airframe design procedure and the advantages of the digital design methods were discussed.A new concept of design process reengineering(DPR)was put forward.An integrated missile air- frame digital design platform and the digital design procedure,which integrated the optimization ideas and methods,were devel- oped.Case study showed that the design platform and the design procedure could improve the efficiency and quality of missile’s airframe design,and get the more reasonable and optimal results. | LUO Zhiqing~(1,2) QIAN Airong~1 LI Xuefeng~2 GAO Lin~2 LEI Jian~1 (1.College of Mechanical Engineering,Northwestern Polytechnical University,Xi’an 710072,China, 2.NO.203 Research Institute of China Ordnance Industries,Xi’an 710065,China) | 2006 | 武汉理工大学学报2006，28，S3： | 0 |
| 12 | Chemical constituents and anticoagulant activity from Delphinium brunonianum Royle显示文摘Delphinium brunonianum Royle belongs to Ranunculaceae family and has the effects of dispelling wind to relieve itching and cooling blood to detoxify.It was found that the extracts of D.brunonianum had good anticoagulant activity which was extracted with 70%ethanol in our previous researches.Then,16 compounds were isolated and identified from the extract of D.brunonianum,among which compounds 5,7-10,12,14,15-16 were isolated from this genus for the first time,and compounds 2-4 were isolated from this plant for the first time.And the coagulation activity assay showed that compounds 10,14 and 15 had good anticoagulant activity by activated partial thromboplastin time(APTT),thrombin time(TT)and prothrombin time(PT)in vitro. | Changyang Ma Sitan Chen Syed Arif Hussain Rizvi Huihui Zhou Wenyi Kang Xuefeng Xi Zhenhua Liu | 2024 | Journal of Future Foods2024，4，3： | 0 |
| 13 | Design with nature and eco-city design显示文摘Designing with Nature is an approach linking design and ecology,which focuses on living with nature,caring for nature,and aiming for a sustainable society.China has made eco-city development,eco-restoration,and eco-civilization its legislative priority and its national strategy,investing a US$618 billion in a 5-year period from 2011–2015 that could reach as high as US$1,124 billion dollars in the period of 2016–2020.“Designing with nature”also means that we must,as we are dealing with resources,consider and understand all the impacting factors and ecosystem capacities.China’s biggest challenge has been to restore water quality,aquatic ecosystems,and landscape patterns.Alongside its natural resources and eco-city development,China possesses a solar energy capacity higher than that of any other country in the world,reaching 174 gigawatts by 2018.Solar power is now cheaper than fossil fuels in hundreds of Chinese cities.In this review,we affirm that the nature-driven design put forth by McHarg’s Design with Nature has withstood the test of time,and we aim to renew interest in McHarg’s ideas by arguing for a design of Chinese cities that is,in keeping with Design with Nature,future-oriented,nature-oriented,and sustainability-oriented. | Yegang Wu Robert E.Swain Nan Jiang Mengying Qiao Haihua Wang Jialin Bai Xi Zhou Xuefeng Sun Jing Xu Meng Xu Chen Hu Yimin Xing Jenny Z.Wu | 2020 | Ecosystem Health and Sustainability2020，6，1： | 0 |
| 14 | Interpreting Randomly Wired Graph Models for Chinese NER显示文摘Interpreting deep neural networks is of great importance to understand and verify deep models for natural language processing(NLP)tasks.However,most existing approaches only focus on improving the performance of models but ignore their interpretability.In this work,we propose a Randomly Wired Graph Neural Network(RWGNN)by using graph to model the structure of Neural Network,which could solve two major problems(word-boundary ambiguity and polysemy)of ChineseNER.Besides,we develop a pipeline to explain the RWGNNby using Saliency Map and Adversarial Attacks.Experimental results demonstrate that our approach can identify meaningful and reasonable interpretations for hidden states of RWGNN. | Jie Chen Jiabao Xu Xuefeng Xi Zhiming Cui Victor S.Sheng | 2023 | Computer Modeling in Engineering & Sciences2023，，1： | 0 |
| 15 | Low glucose metabolite 3-phosphoglycerate switches PHGDH from serine synthesis to p53 activation to control cell fate显示文摘Glycolytic intermediary metabolites such as fructose-1,6-bisphosphate can serve as signals,controlling metabolic states beyond energy metabolism.However,whether glycolytic metabolites also play a role in controlling cell fate remains unexplored.Here,we find that low levels of glycolytic metabolite 3-phosphoglycerate(3-PGA)can switch phosphoglycerate dehydrogenase(PHGDH)from cataplerosis serine synthesis to pro-apoptotic activation of p53.PHGDH is a p53-binding protein,and when unoccupied by 3-PGA interacts with the scaffold protein AXIN in complex with the kinase HIPK2,both of which are also p53-binding proteins.This leads to the formation of a multivalent p53-binding complex that allows HIPK2 to specifically phosphorylate p53-Ser46 and thereby promote apoptosis.Furthermore,we show that PHGDH mutants(R135W and V261M)that are constitutively bound to 3-PGA abolish p53 activation even under low glucose conditions,while the mutants(T57A and T78A)unable to bind 3-PGA cause constitutive p53 activation and apoptosis in hepatocellular carcinoma(HCC)cells,even in the presence of high glucose.In vivo,PHGDH-T57A induces apoptosis and inhibits the growth of diethylnitrosamine-induced mouse HCC,whereas PHGDH-R135W prevents apoptosis and promotes HCC growth,and knockout of Trp53 abolishes these effects above.Importantly,caloric restriction that lowers whole-body glucose levels can impede HCC growth dependent on PHGDH.Together,these results unveil a mechanism by which glucose availability autonomously controls p53 activity,providing a new paradigm of cell fate control by metabolic substrate availability. | Yu-Qing Wu Chen-Song Zhang Jinye Xiong Dong-Qi Cai Chen-Zhe Wang Yu Wang Yan-Hui Liu Yu Wang Yiming Li Jian Wu Jianfeng Wu Bin Lan Xuefeng Wang Siwei Chen Xianglei Cao Xiaoyan Wei Hui-Hui Hu Huiling Guo Yaxin Yu Abdul Ghafoor Changchuan Xie Yaying Wu Zheni Xu Cixiong Zhang Mingxia Zhu Xi Huang Xiufeng Sun Shu-Yong Lin Hai-Long Piao Jianyin Zhou Sheng-Cai Lin | 2023 | Cell Research2023，33，11： | 0 |
| 16 | Predicting Simplified Thematic Progression Pattern for Discourse Analysis显示文摘The pattern of thematic progression,reflecting the semantic relationships between contextual two sentences,is an important subject in discourse analysis.We introduce a new corpus of Chinese news discourses annotated with thematic progression information and explore some computational methods to automatically extracting the discourse structural features of simplified thematic progression pattern(STPP)between contextual sentences in a text.Furthermore,these features are used in a hybrid approach to a major discourse analysis task,Chinese coreference resolution.This novel approach is built up via heuristic sieves and a machine learning method that comprehensively utilizes both the top-down STPP features and the bottom-up semantic features.Experimental results on the intersection of the CoNLL-2012 task shared dataset and the CDTC corpus demonstrate the effectiveness of our proposed approach. | Xuefeng Xi Victor S.Sheng Shuhui Yang Baochuan Fu Zhiming Cui | 2020 | Computers, Materials & Continua2020，，4： | 0 |
| 17 | An Empirical Comparison on Multi-Target Regression Learning显示文摘Multi-target regression is concerned with the simultaneous prediction of multiple continuous target variables based on the same set of input variables.It has received relatively small attention from the Machine Learning community.However,multi-target regression exists in many real-world applications.In this paper we conduct extensive experiments to investigate the performance of three representative multi-target regression learning algorithms(i.e.Multi-Target Stacking(MTS),Random Linear Target Combination(RLTC),and Multi-Objective Random Forest(MORF)),comparing the baseline single-target learning.Our experimental results show that all three multi-target regression learning algorithms do improve the performance of the single-target learning.Among them,MTS performs the best,followed by RLTC,followed by MORF.However,the single-target learning sometimes still performs very well,even the best.This analysis sheds the light on multi-target regression learning and indicates that the single-target learning is a competitive baseline for multi-target regression learning on multi-target domains. | Xuefeng Xi Victor S.Sheng Binqi Sun Lei Wang Fuyuan Hu | 2018 | Computers, Materials & Continua2018，，8： | 0 |
| 18 | Lignans from Patrinia scabiosaefolia improve insulin resistance by activating PI-3K/AKT pathway and promoting GLUT4 expression显示文摘Patrinia scabiosaefolia,is used as wild vegetable in China for more than 2000 years,with a variety of pharmacological activities,including anti-inflammatory,anti-tumor and hypoglycemic.Based on our ongoing research on chemical constituents and hypoglycemic activity of P.scabiosaefolia,4 lignan compounds,(+)-isolariciresinol(1),7R,7’R,8S,8’S-(+)-neo-olivil-4-O-β-D-glucopyranoside(2),4-O-methylcedrusin(3)and patrinian A(4),were isolated and identifi ed.The hypoglycemic activity showed that compounds 2 and 3 could extremely signifi cantly improve insulin resistance at 100(P<0.001),50(P<0.001)and 25μmol/L(P<0.01)in IR 3T3-L1 cells.While compound 4 only promoted glucose uptake by IR 3T3-L1 cells at 100μmol/L(P<0.01).Western blotting experiments showed that compounds 2 and 4 up-regulated the protein expressions of p-IRS,PI-3K,p-AKT and glucose transporter 4(GLUT4),and promoted the transcription of GLUT4 mRNA.Therefore,the mechanisms of compounds 2 and 4 were presumed to improve IR by activating PI-3K/AKT signaling pathway. | Zhenhua Liu Mengke Wang Lijun Meng Yixiao Chen Qiuyi Wang Yan Zhang Xuefeng Xi Wenyi Kang | 2023 | Food Science and Human Wellness2023，12，6： | 0 |
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