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| 1 | A new triterpene glycoside from sea cucumber Holothuria leucospilota显示文摘A new triterpene glycoside, leucospilotaside A, along with a known saponin, isolated from sea cucumber Holothuria leucospilota, and its structure was elucidated as 3β-O-[4-O-sodiumsulfate-β-D-quinovopyranosyl-(1→2)-β-D-xylopyranosyl]-holosta-22-ketone-9-en-17α,25α-diol (1) by extensive spectroscopic analysis and chemical methods. Leucospilotaside A (1) has a ketone carbonyl group (22) in the aglycon side chain. | Hua Han Yang Hua Yi Ling Li Xiao Hua Wang Bao Shu Liu Peng Sun Min Xiang Pan | 2007 | Chinese Chemical Letters2007，18，2： | 13 |
| 2 | Acute fatty liver of pregnancy显示文摘 | Xiong Hao-feng Liu Jing-yuan Jiao Yi-qing Guo Li-min Yu Yan-ping Xiang Pan Liu Min | 2013 | Chinese Medical Journal2013，，10： | 7 |
| 3 | Recent progress of integrated circuits and optoelectronic chips显示文摘Integrated circuits(ICs)and optoelectronic chips are the foundation stones of the modern information society.The IC industry has been driven by the so-called'Moore's law'in the past 60 years,and now has entered the post Moore's law era.In this paper,we review the recent progress of ICs and optoelectronic chips.The research status,technical challenges and development trend of devices,chips and integrated technologies of typical IC and optoelectronic chips are focused on.The main contents include the development law of IC and optoelectronic chip technology,the IC design and processing technology,emerging memory and chip architecture,brain-like chip structure and its mechanism,heterogeneous integration,quantum chip technology,silicon photonics chip technology,integrated microwave photonic chip,and optoelectronic hybrid integrated chip. | Yue HAO Shuiying XIANG Genquan HAN Jincheng ZHANG Xiaohua MA Zhangming ZHU Xingxing GUO Yahui ZHANG Yanan HAN Ziwei SONG Yan LIU Ling YANG Hong ZHOU Jiangyi SHI Wei ZHANG Min XU Weisheng ZHAO Biao PAN Yangqi HUANG Qi LIU Yimao CAI Jian ZHU Xin OU Tiangui YOU Huaqiang WU Bin GAO Zhiyong ZHANG Guoping GUO Yonghua CHEN Yong LIU Xiangfei CHEN Chunlai XUE Xingjun WANG Lixia ZHAO Xihua ZOU Lianshan YAN Ming LI | 2021 | Science China(Information Sciences)2021，64，10： | 7 |
| 4 | Signal processing in underwater acoustic communication system for manned deep submersible 'Jiaolong'显示文摘For the first time in the world,underwater acoustic transmission of images,human voice,data and texts between vehicle under 7000 m depth and surface ship was accomplished by underwater acoustic communication system of manned deep submersible 'Jiaolong'.In this paper,signal processing in underwater acoustic communication system for manned deep submersible 'Jiaolong' is introduced.(1) Four communication methods are integrated to meet different needs:1) coherent underwater acoustic communication,with a variable transmission rate from 5 kbps to 15 kbps,to transmit images.2) Non-coherent underwater acoustic communication, with a transmission rate 300 bps,to transmit texts,instructions,and sensor data. 3) Spread spectrum underwater acoustic communication,with a transmission rate 16 bps,to transmit instructions.4) Underwater voice communication,using single sideband modulation to transmit human voice.(2) Signal processing method in coherent communication mainly consists of concatenation of decision feedback equalizer and Turbo decoder,and wavelet based image compression with fixed length coding.In the equalizer,Doppler compensation,multichannel combining and equalizer coefficients updating are all using fast self-optimized adaptive algorithm.(3) A linear hydrophone array is lowered from the mother ship to certain depth, and spatial diversity combining technology is adopted.(4) Diving trials of 'Jiaolong' were carried out in Pacific Ocean.The communication range can cover nearly all ocean depth.One optical/acoustic image can be transmitted in 7 or 14 seconds. | ZHU Weiqing ZHU Min WU Yanbo YANG Bo XU Lijun FU Xiang PAN Feng | 2013 | Chinese Journal of Acoustics2013，32，1： | 7 |
| 5 | Leucospilotaside C,a new sulfated triterpene glycoside from sea cucumber Holothuria leucospilota显示文摘A new triterpene glycoside,leucospilotaside C,along with two known saponin,was isolated from sea cucumber Holothuria leucospilota collected from the South China Sea,and its structure was elucidated as 3-O-[4'-O-sodiumsulfate-β-D-xylopyranosyl]- holosta-22,25-epoxy-9-ene-3β,12α,17α-triol (1) by extensive spectroscopic analysis and chemical methods.The glycosides have the same triterpene aglycone,but differ in the oligosaccharide moieties. | Hua Han Yang Hua Yi Bao Shu Liu Xiao Hua Wang Min Xiang Pan | 2008 | Chinese Chemical Letters2008，19，12： | 4 |
| 6 | Traffic emission and its impact on air quality in Guangzhou area显示文摘A comprehensive field measurement was set up in Guangzhou City of China and the key was placed on NO\-x and O\-3 pollution. The results indicated that the average driving speed of vehicle was only 14 km/h in downtown with high frequency of idle and acceleration. Upward fluxes of CO and NO were observed in Dongfeng Street. NO\-x annual mean concentration in urban area increased year by year, and NO\-x was identified as the most important pollutant since 1995. Photochemical smog pollution was serious in general, spatial and seasonal distribution of O\-3 was observed. O\-3 concentration was kept in a high level in autumn, and its formation was restrained in summer due to frequent thunderstorm and high humidity. The numerical simulation showed the average concentration and maximum concentration of O\-3 would increase 60%—100% if vehicular emission increased 100% in Guangzhou. | Zhang Yuan\|hang, Xie Shao\|dong, Zeng Li\|min, Wang Hui\|xiang Laboratory of Atmospheric Environmental Simulation, ESPC, Center of Environmental Sciences, Peking University, Beijing 100871, China Yu Kai\|heng, Zhu Chang\|jian, Pan Nan\|ming, Wang | 1999 | Journal of Environmental Sciences1999，11，3： | 3 |
| 7 | Diagnosis and treatment of diverticulum of the uterus in pregnancy through hysteroscopy and methotrexate: a case report显示文摘A 27-year-old patient was diagnosed by hysteroscopy with uterine diverticulum in pregnancy and admitted to the hospital. Under the guidance of hysteroscopy combined with methotrexate, the scraping of the uterus was done and operation successfully completed. The management of this case showed that hysteroscopy was a kind of valuable approach to the diagnosis and treatment of uterine diverticulum and curettage of the uterus under hysteroscope combined with drug was a safe, effective and conservative treatment. | Pan Qiong Xue Min Li Xiang Wan Yajun Cheng Chunxia | 2010 | Journal of Medical Colleges of PLA(China)2010，25，2： | 2 |
| 8 | TLR_9在人肺腺癌细胞A549中的表达(英文)显示文摘Objective:Being considered as a bridge between the innate immunity and acquired immunity,Toll-like receptors(TRLs) are very important innate immunity moleculars.Recent researchs on the innate immunity have focused on the relationship between TLRs and human tumor.This paper investgated the expression and significance of TLR9 in human pulmonary adenocarcinoma cell(A549 cell) and human bronchial epithelial cell(HBE cell).Methods:After culturing A549 cell and HBE cell in vitro,the expression of TLR9 mRNA and protein in both cells were detected by immunocytochemistry,Real-time Quantitative Reverse Transcriptase-Polymerase Chain Reaction(Real-time Quantitative PCR) and Western blot,respectively.Results:By immunocytochemistry staining,TLR9 was mainly expressed in both cells' cell membrane and endochylema as brown-yellow material.It showed that the expressions of TLR9 mRNA and protein in A549 cell were stronger than those in HBE cell(P < 0.01).Conclusion:The results suggest TLR9 might cause the progression of human pulmonary adenocarcinoma,and the mechanism needs to be further investgatied. | Jun Yu Tiecheng Pan Xiang Wei Ligang Liu Min Hu Fang Yuan Jiaduo Li | 2009 | The Chinese-German Journal of Clinical Oncology2009，8，7： | 2 |
| 9 | Profiling of plant hormones by mass spectrometry显示文摘 | Pan Xiang - qing Wang Xue - min | 2009 | J Chromatogr B2009，877，26： | 1 |
| 10 | Bone‐marrow mesenchymal stem cell transplantation to treat diabetic nephropathy in tree shrews显示文摘 | Xing‐Hua Pan Xiao‐Yan Yang Xiang Yao Xiao‐Mei Sun Lu Zhu Jin‐Xiang Wang Rong‐Qing Pang Xue‐Min Cai Jie‐Jie Dai Guang‐Ping Ruan | 2014 | Cell Biochem Funct2014，，5： | 1 |
| 11 | A Perspective on Rhythmic Gymnastics Performance Analysis Powered by Intelligent Fabric显示文摘Performance analysis is an important tool for gymnasts and coaches to assess the techniques,strengths,and weaknesses of rhythmic gymnasts during training.To have an accurate insight about the motion and postures can help the optimization of their performance and offer personalized suggestions.However,there are three primary limitations of traditional perfor-mance analysis systems applied in rhythmic gymnastics:(1)Inability to quantify anthropometric data in an imperceptible way,(2)labor-intensive nature of data labeling and analysis,and(3)lack of monitoring of all-round and multi-dimensional perspectives of the target.Thus,an advanced performance analysis system for rhythmic gymnastics is proposed in this paper,powered by intelligent fabric.The system uses intelligent fabric to detect the physiological and anthropometric data of the gymnasts.After a variety of data are collected,the analysis component is implemented by artificial intelligence techniques resulting in behavior recognition,decision-making,and other functions assisting performance improvement.A feasible solution to implementing the analysis component is the use of the hyperdimensional computing technique.In addition,four typical applications are presented to improve training performance.Powered by intelligent fabric,the proposed advanced performance analysis system exhibits the potential to promote innovative technologies for improving training and competi-tive performance,prolonging athletic careers,as well as reducing sports injuries. | Dan Zhu Zhenyu Zhang Min Chen Pan Li Yuanzhuo Xiang Jingyu Ouyang Zhiheng Huang Xiaojuan Liu Fuhong Wang Maiping Yang Hongtao Zeng Ping Hong Lei Wei Chong Hou Guangming Tao | 2023 | Advanced Fiber Materials2023，5，1： | 1 |
| 12 | Comparison of the harm effects of accidental releases: Cryo-com- pressed hydrogen versus natural gas显示文摘 | HE YONG LI XIANG MIN PAN KE SUN | 2013 | International Journal of Hydrogen Energy2013，12，1： | 1 |
| 13 | Simultaneous quantification of major phytohormones and related compounds in crude plant extracts by liquid chromatography - electrospray tandem mass spectrometry 显示文摘 | Pan Xiang - qing Welti R Wang Xue - min | 2008 | Phytochemistry2008，69，8： | 1 |
| 14 | A local average connectivity-based method for identifying essential proteins from the network level显示文摘 | Min Li Jianxin Wang Xiang Chen Huan Wang Yi Pan | 2011 | Computational Biology and Chemistry2011，，3： | 1 |
| 15 | β-decay Study of Tz=-3/2Proton-rich Nucleus 29S显示文摘The exotic decay of nuclei far from the stability has recently become a hot topic of nuclear structure research.The nuclide 29S is not well investigated in the A=4n+1,Tz=-3/2series of strong+β-delayed proton precursors.The decay schemes of these nuclei are characterized | ZHONG Fupeng XU Xinxing LIN Chengjian WANG Jiansong LI Zhihuan YANG Lei MA Nanru WANG Dongxi WEN Peiwei SUN Lijie WU Hongyi LUO Diwen WU Chenguang JIANG Ying LIU Yang ZANG Hongliang LIANG Pengfei LI Pengjie LI Xiaojing ZHAO Qingqing SHI Guozhu MA Junbing MA Peng YU Gongming Dipikap Patel BAI Zhen YANG Feng JIA Huiming ZHANG Huanqiao WANG Jianguo YANG Yanyun MA Weihu HU Qiang JIN Shuya ZHOU Xiaohong LI Ren HOU Dongsheng LIU Minliang HU Zhengguo MA Xinwen YANG Weiqing GAO Zhihao DUAN Fangfang YU Yuechao WANG Yufeng WANG Peng ZHOU Qingwu CUI Danteng WANG Xiang HU Liyuan PAN Min ZHANG Gaolong WANG Xiaoyu | 2017 | Annual Report of China Institute of Atomic Energy2017，，1： | 0 |
| 16 | A Deep Learning Approach for Detecting Colorectal Cancer via Raman Spectra显示文摘Objective and Impact Statement.Distinguishing tumors from normal tissues is vital in the intraoperative diagnosis and pathological examination.In this work,we propose to utilize Raman spectroscopy as a novel modality in surgery to detect colorectal cancer tissues.Introduction.Raman spectra can reflect the substance components of the target tissues.However,the feature peak is slight and hard to detect due to environmental noise.Collecting a high-quality Raman spectroscopy dataset and developing effective deep learning detection methods are possibly viable approaches.Methods.First,we collect a large Raman spectroscopy dataset from 26 colorectal cancer patients with the Raman shift ranging from 385 to 1545 cm^(−1).Second,a one-dimensional residual convolutional neural network(1D-ResNet)architecture is designed to classify the tumor tissues of colorectal cancer.Third,we visualize and interpret the fingerprint peaks found by our deep learning model.Results.Experimental results show that our deep learning method achieves 98.5%accuracy in the detection of colorectal cancer and outperforms traditional methods.Conclusion.Overall,Raman spectra are a novel modality for clinical detection of colorectal cancer.Our proposed ensemble 1D-ResNet could effectively classify the Raman spectra obtained from colorectal tumor tissues or normal tissues. | Zheng Cao Xiang Pan Hongyun Yu Shiyuan Hua Da Wang Danny Z.Chen Min Zhou Jian Wu | 2022 | Biomedical Engineering Frontiers2022，3，1： | 0 |
| 17 | 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 |
| 18 | A Study on the Inclusion of α-Cyclodextrin with Mono-and 1,4-Disubstituted Benzenes by Neural Networks显示文摘The association constant (Ka) values were calculated by the function-strengthen ing neural networks (FNN) for the inclusion complexation of α-CD with mono- and 1,4-disubstituted benzenes. The lnKa predicted by FNN from Rm, π and σ constants of substituents are in great agreement with the experimental data. | Qing Xiang GUO Shi Dong CHU Yong Min WANG Zhong Xiao PAN Mao Sen ZHANG and You Cheng LIU(Department of Chemical Physics, University of Science and Technology of China, Hefei 230026) | 1997 | Chinese Chemical Letters1997，8，2： | 0 |
| 19 | Early proactive monitoring of DNA-thioguanine in patients with Crohn’s disease predicts thiopurine-induced late leucopenia in NUDT15/TPMT normal metabolizers显示文摘BACKGROUND Thiopurine-induced leucopenia significantly hinders the wide application of thiopurines.Dose optimization guided by nudix hydrolase 15(NUDT15)has significantly reduced the early leucopenia rate,but there are no definitive biomarkers for late risk leucopenia prediction.AIM To determine the predictive value of early monitoring of DNA-thioguanine(DNATG)or 6-thioguanine nucleotides(6TGN)for late leucopenia under a NUDT15-guided thiopurine dosing strategy in patients with Crohn’s disease(CD).METHODS Blood samples were collected within two months after thiopurine initiation for detection of metabolite concentrations.Late leucopenia was defined as a leukocyte count<3.5×10^(9)/L over two months.RESULTS Of 148 patients studied,late leucopenia was observed in 15.6%(17/109)of NUDT15/thiopurine methyltransferase(TPMT)normal and 64.1%(25/39)of intermediate metabolizers.In patients suffering late leucopenia,early DNATG levels were significantly higher than in those who did not develop late leucopenia(P=4.9×10^(-13)).The DNATG threshold of 319.43 fmol/μg DNA could predict late leucopenia in the entire sample with an area under the curve(AUC)of 0.855(sensitivity 83%,specificity 81%),and in NUDT15/TPMT normal metabolizers,the predictive performance of a threshold of 315.72 fmol/μg DNA was much more remarkable with an AUC of 0.902(sensitivity 88%,specificity 85%).6TGN had a relatively poor correlation with late leucopenia whether in the entire sample(P=0.021)or NUDT15/TPMT normal or intermediate metabolizers(P=0.018,P=0.55,respectively).CONCLUSION Proactive therapeutic drug monitoring of DNATG could be an effective strategy to prevent late leucopenia in both NUDT15/TPMT normal and intermediate metabolizers with CD,especially the former. | Ting Yang Kang Chao Xia Zhu Xue-Ding Wang Sumyuet Chan Yan-Ping Guan Jing Mao Pan Li Shao-Xing Guan Wen Xie Xiang Gao Min Huang | 2024 | World Journal of Gastroenterology2024，30，12： | 0 |
| 20 | Comparison and development of machine learning for thalidomideinduced peripheral neuropathy prediction of refractory Crohn’s disease in Chinese population显示文摘BACKGROUND Thalidomide is an effective treatment for refractory Crohn’s disease(CD).However,thalidomide-induced peripheral neuropathy(TiPN),which has a large individual variation,is a major cause of treatment failure.TiPN is rarely predictable and recognized,especially in CD.It is necessary to develop a risk model to predict TiPN occurrence.AIM To develop and compare a predictive model of TiPN using machine learning based on comprehensive clinical and genetic variables.METHODS A retrospective cohort of 164 CD patients from January 2016 to June 2022 was used to establish the model.The National Cancer Institute Common Toxicity Criteria Sensory Scale(version 4.0)was used to assess TiPN.With 18 clinical features and 150 genetic variables,five predictive models were established and evaluated by the confusion matrix receiver operating characteristic curve(AUROC),area under the precision-recall curve(AUPRC),specificity,sensitivity(recall rate),precision,accuracy,and F1 score.RESULTS The top-ranking five risk variables associated with TiPN were interleukin-12 rs1353248[P=0.0004,odds ratio(OR):8.983,95%confidence interval(CI):2.497-30.90],dose(mg/d,P=0.002),brainderived neurotrophic factor(BDNF)rs2030324(P=0.001,OR:3.164,95%CI:1.561-6.434),BDNF rs6265(P=0.001,OR:3.150,95%CI:1.546-6.073)and BDNF rs11030104(P=0.001,OR:3.091,95%CI:1.525-5.960).In the training set,gradient boosting decision tree(GBDT),extremely random trees(ET),random forest,logistic regression and extreme gradient boosting(XGBoost)obtained AUROC values>0.90 and AUPRC>0.87.Among these models,XGBoost and GBDT obtained the first two highest AUROC(0.90 and 1),AUPRC(0.98 and 1),accuracy(0.96 and 0.98),precision(0.90 and 0.95),F1 score(0.95 and 0.98),specificity(0.94 and 0.97),and sensitivity(1).In the validation set,XGBoost algorithm exhibited the best predictive performance with the highest specificity(0.857),accuracy(0.818),AUPRC(0.86)and AUROC(0.89).ET and GBDT obtained the highest sensitivity(1)and F1 score(0.8).Overall,compared with other state-of-the-art classifiers such as ET,GBDT and RF,XGBoost algorithm not only showed a more stable performance,but also yielded higher ROC-AUC and PRC-AUC scores,demonstrating its high accuracy in prediction of TiPN occurrence.CONCLUSION The powerful XGBoost algorithm accurately predicts TiPN using 18 clinical features and 14 genetic variables.With the ability to identify high-risk patients using single nucleotide polymorphisms,it offers a feasible option for improving thalidomide efficacy in CD patients. | Jing Mao Kang Chao Fu-Lin Jiang Xiao-Ping Ye Ting Yang Pan Li Xia Zhu Pin-Jin Hu Bai-Jun Zhou Min Huang Xiang Gao Xue-Ding Wang | 2023 | World Journal of Gastroenterology2023，29，24： | 0 |
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