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| 1 | Onco-miR-24 regulates cell growth and apoptosis by targeting BCL2L11 in gastric cancer显示文摘胃的癌症是世界范围的最普通的恶意之一;然而,在 tumorigenesis 的分子的机制仍然需要探索。BCL2L11 属于 BCL-2 家庭,并且充当内在的 apoptotic 串联的一个中央管理者并且调停房间 apoptosis。尽管 miRNAs 被报导了涉及癌症开发的每个阶段,在 GC 的 miR-24 的角色还没被报导。在现在的学习,当 BCL2L11 的表示在 GC 的肿瘤纸巾被禁止时, miR-24 被发现起来调整。研究从在 vitro 并且在显示出的 vivo,那 miR-24 调整 BCL2L11 表示由与 mRNA 的 3UTR 直接有约束力,因此支持房间生长,移植当禁止房间 apoptosis 时。因此, miR-24 是能是为未来的潜在的药目标的新奇 onco-miRNA 临床的使用。 | Haiyang Zhang Jingjing Duan Yanjun Qu Ting Deng Rui Liu Le Zhang Ming Bai Jialu Li Tao Ning Shaohua Ge Xia Wang ZhenzhenWang~ Qian Fan Hongli Li Guoguang Ying Dingzhi Huang Yi Ba | 2016 | Protein & Cell2016，7，2： | 11 |
| 2 | miRNA27a Is a Biomarker for Predicting Chemosensitivity and Prognosis in Metastatic or Recurrent Gastric Cancer显示文摘 | Dingzhi Huang Haiyan Wang Rui Liu Hongli Li Shaohua Ge Ming Bai Ting Deng Guangyu Yao Yi Ba | 2014 | J. Cell. Biochem2014，，3： | 2 |
| 3 | Fingerprint analysis of Cirsium japonicum DC.using high performance liquid chromatography显示文摘In many areas of China Cirsium setosum is used as Cirsium japonicum DC.Although the two herbs have similar appearance and many similar compounds,they are totally different medicinal material,and have different pharmacodynamic actions.The fingerprint spectrum can be a good tool to distinguish the two herbs and control the quality of Cirsium japonicum DC.In this paper,the chemical fingerprint of Cirsium japonicum DC was established using raw materials from 15 origins in China.The chromatographic separations were obtained by a SHIM-PACK VP-ODS column (150 mm×4.6 mm i.d.,5μm) using gradient elution,and run time of 80 min.The peak of linarin was considered as the control peak.The experimental data were analyzed with the software of Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine (Version 2004A) and the quality control system of both the overall qualitative similarities and the overall quantitative similarities of traditional Chinese medicine chromatographic fingerprints. | Hongli Ge Muhetar Turhong Munire Abudkrem Yuhai Tang | 2013 | Journal of Pharmaceutical Analysis2013，3，4： | 1 |
| 4 | Radical azidation as a means of constructing C(sp^(3) )-N_(3) bonds显示文摘The azido group is found in large numbers of natural products,drugs,biochemicals and materials and to date,many elegant and useful methods for the synthesis of organic azides and their transformations have been documented.In this review,we provide a summary of the state of the art of radical azidation for the construction of C(sp^(3) )-N_(3) bonds.There is a specific emphasis on the synthetic reactions involving C(sp^(3))-H azidation,decar-boxylative azidation and difunctionalized azidation of olefins.This review will be useful to those working in this field and hopefully could inspire further development of radical azidation reactions. | Liang Ge Mong-Feng Chiou Yajun Li Hongli Bao | 2020 | Green Synthesis and Catalysis2020，1，2： | 1 |
| 5 | Regional mapping of human settlements in southeastern China with multi- sensor remotely sensed data 显示文摘 | Dengsheng Lu Hanqin Tian Guomo Zhou Hongli Ge | 2008 | Remote Sensing of Environ- ment2008，112，9： | 1 |
| 6 | Regional mapping of human settlements in southeastern China with multisensor remotely sensed data显示文摘 | Dengsheng Lu Hanqin Tian Guomo Zhou Hongli Ge | 2008 | Remote Sensing of Environment2008，，9： | 1 |
| 7 | Simple fabrication of full color colloidal crystal films with tough mechanical strengtha 显示文摘 | Wang Jingxia Wen Yongqiang Ge Hongli | 2006 | Macromolecular Chemistry and Physics2006，207，6： | 1 |
| 8 | Spatial heterogeneity and carbon contribution of aboveground biomass of moso bamboo by using geostatistical theory显示文摘 | Huaqiang Du Guomo Zhou Wenyi Fan Hongli Ge Xiaojun Xu Yongjun Shi Weiliang Fan | 2010 | Plant Ecology2010，，1： | 1 |
| 9 | Simple fabrication of full color colloidal crystal films with tough nclechanical strength显示文摘 | Jingxia Wang Yongqiang Wen Hongli Ge | 2006 | Macromolecular Chemistry and Physics2006，207，： | 1 |
| 10 | Energy-Efficient Multi-Trip Routing for Municipal Solid Waste Collection by Contribution-Based Adaptive Particle Swarm Optimization显示文摘Waste collection is an important part of waste management system.Transportation costs and carbon emissions can be greatly reduced by proper vehicle routing.Meanwhile,each vehicle can work again after achieving its capacity limit and unloading the waste.For this,an energy-efficient multi-trip vehicle routing model is established for municipal solid waste collection,which incorporates practical factors like the limited capacity,maximum working hours,and multiple trips of each vehicle.Considering both economy and environment,fixed costs,fuel costs,and carbon emission costs are minimized together.To solve the formulated model effectively,contribution-based adaptive particle swarm optimization is proposed.Four strategies named greedy learning,multi-operator learning,exploring learning,and exploiting learning are specifically designed with their own searching priorities.By assessing the contribution of each learning strategy during the process of evolution,an appropriate one is selected and assigned to each individual adaptively to improve the searching efficiency of the algorithm.Moreover,an improved local search operator is performed on the trips with the largest number of waste sites so that both the exploiting ability and the convergence accuracy of the algorithm are improved.Performance of the proposed algorithm is tested on ten waste collection instances,which include one real-world case derived from the Green Ring Company of Jiangbei New District,Nanjing,China,and nine synthetic instances with increasing scales generated from the commonly-used capacitated vehicle routing problem benchmark datasets.Comparisons with five state-of-the-art algorithms show that the proposed algorithm can obtain a solution with a higher accuracy for the constructed model. | Xiaoning Shen Hongli Pan Zhongpei Ge Wenyan Chen Liyan Song Shuo Wang | 2023 | Complex System Modeling and Simulation2023，3，3： | 0 |
| 11 | Cryo-EM structure of activated bile acids receptor TGR5 in complex with stimulatory G protein显示文摘Dear Editor,Takeda G protein-coupled receptor 5(TGR5),also known as G protein-coupled bile acids(BAs)receptor 1(GPBAR1),1 belongs to the class A GPCR subfamily.The major TGR5-dependent actions of BAs include maintaining energy homeostasis,regulating glucose/lipids metabolism,as well as immunosuppressive properties.2 TGR5 is identified as a potential therapeutic target for protecting hepatocytes from bile acid overload,preventing atherosclerosis,and inhibiting macrophage inflammation due to its critical role in bile acid sensitization.Thus,elucidation of structural characteristics of TGR5 and its activation mechanism would benefit the discovery of therapeutic drugs for these metabolic disorders. | Geng Chen Xiankun Wang Yunjun Ge Ling Ma Qiang Chen Huihui Liu Yang Du Richard DYe Hongli Hu Ruobing Ren | 2020 | Signal Transduction and Targeted Therapy2020，5，1： | 0 |
| 12 | A Novel Adaptive Kalman Filter Based on Credibility Measure显示文摘It is quite often that the theoretic model used in the Kalman filtering may not be sufficiently accurate for practical applications,due to the fact that the covariances of noises are not exactly known.Our previous work reveals that in such scenario the filter calculated mean square errors(FMSE)and the true mean square errors(TMSE)become inconsistent,while FMSE and TMSE are consistent in the Kalman filter with accurate models.This can lead to low credibility of state estimation regardless of using Kalman filters or adaptive Kalman filters.Obviously,it is important to study the inconsistency issue since it is vital to understand the quantitative influence induced by the inaccurate models.Aiming at this,the concept of credibility is adopted to discuss the inconsistency problem in this paper.In order to formulate the degree of the credibility,a trust factor is constructed based on the FMSE and the TMSE.However,the trust factor can not be directly computed since the TMSE cannot be found for practical applications.Based on the definition of trust factor,the estimation of the trust factor is successfully modified to online estimation of the TMSE.More importantly,a necessary and sufficient condition is found,which turns out to be the basis for better design of Kalman filters with high performance.Accordingly,beyond trust factor estimation with Sage-Husa technique(TFE-SHT),three novel trust factor estimation methods,which are directly numerical solving method(TFE-DNS),the particle swarm optimization method(PSO)and expectation maximization-particle swarm optimization method(EM-PSO)are proposed.The analysis and simulation results both show that the proposed TFE-DNS is better than the TFE-SHT for the case of single unknown noise covariance.Meanwhile,the proposed EMPSO performs completely better than the EM and PSO on the estimation of the credibility degree and state when both noise covariances should be estimated online. | Quanbo Ge Xiaoming Hu Yunyu Li Hongli He Zihao Song | 2023 | IEEE/CAA Journal of Automatica Sinica2023，10，1： | 0 |
| 13 | Cramer-Rao lower bound-based observable degree analysis显示文摘Dear editor,Controllability and observability are basic concepts in modern control theory that are based on Kalman filtering (KF)(1, 2)In particular, observability is closely related to state estimation ability (2–4)The indicator called observable degree(OD) has been used to quantitatively measure the degree of observability (5–7)。 | Quanbo GE Tianxiang CHEN Hongli HE Zhentao HU | 2019 | Science China(Information Sciences)2019，62，5： | 0 |
| 14 | SVD based scale transform invariant observable degree for LTI system显示文摘Dear editor,The basic concept of observability is used to express the possibility to recover the state from measurements in modern control theory[1–3].It is a qualitative parameter,which cannot reflect the observable degree(OD)ability[4,5].Therefore,the OD is presented to quantitatively obtain the function.The quantitative parameter is effective for indicating the exact degree of estimation ability. | Quanbo GE Peng ZHUO Hongli HE Zhentao HU Zhansheng DUAN Junzhi YU | 2021 | Science China(Information Sciences)2021，64，3： | 0 |
| 15 | Establishment and Evaluation of a Prediction Model of BLR for Severity in Coronavirus Disease 2019显示文摘Background:Coronavirus disease 2019(COVID-19)is an emerging infectious disease and has spread worldwide.Clinical risk factors associated with the severity in COVID-19 patients have not yet been well delineated.The aim of this study was to explore the risk factors related with the progression of severe COVID-19 and establish a prediction model for severity in COVID-19 patients.Methods:We retrospectively recruited patients with confirmed COVID-19 admitted in Enze Hospital,Taizhou Enze Medical Center(Group)and Nanjing Drum Tower Hospital between January 24 and March 12,2020.Take the Taizhou cohort as the training set and the Nanjing cohort as the validation set.Severe case was defined based on the World Health Organization Interim Guidance Report criteria for severe pneumonia.The patients were divided into severe and non-severe groups.Epidemiological,laboratory,clinical,and imaging data were recorded with data collection forms from the electronic medical record.The predictive model of severe COVID-19 was constructed,and the efficacy of the predictive model in predicting the risk of severe COVID-19 was analyzed by the receiver operating characteristic curve(ROC).Results:A total of 402 COVID-19 patients were included in the study,including 98 patients in the training set(Nanjing cohort)and 304 patients in the validation set(Nanjing cohort).There were 54 cases(13.43%)in severe group and 348 cases(86.57%)in nonsevere group.Logistic regression analysis showed that bodymassindex(BMI)and lymphocyte count wereindependent risk factors for severe COVID-19(all P<0.05).Logistic regression equation based on risk factors was established as follows:Logit(BL)=–5.552–5.473L+0.418BMI.The area under the ROC curve(AUC)of the training set and the validation set were 0.928 and 0.848,respectively(allP<0.001).The model was simplified to get a new model(BMI and lymphocyte count ratio,BLR)for predicting severe COVID-19 patients,and the AUC in the training set and validation set were 0.926 and 0.828,respectively(all P<0.001).Conclusions:Higher BMI and lower lymphocyte count are critical factors associated with severity of COVID-19 patients.The simplified BLR model has a good predictive value for the severe COVID-19 patients.Metabolic factors involved in the development of COVID-19 need to be further investigated. | Zebao He Fajuan Rui Hongli Yang Zhengming Ge Rui Huang Lingjun Ying Haihong Zhao Chao Wu Jie Li | 2022 | Infectious Diseases & Immunity2022，2，2： | 0 |
| 16 | Finite-horizon resilient state estimation for complex networks with integral measurements from partial nodes显示文摘This paper proposes a finite-horizon state estimation method for a kind of complex network that suffers from randomly occurring gain variations. The method involves utilizing integral measurements from a portion of nodes in such complex networks. Integral measurements are carried out to characterize time delays that occur in signal acquisition together with real-time signal processing. Measurements from only partial nodes reflect the fact that signals of several sensors are unacquirable. A Gaussian random variable is utilized to depict the random appearance of gain variations during the practical implementation of estimators. The aim of this paper is to construct finite-horizon resilient estimators for complex networks in view of integral measurements from a portion of nodes that fulfill the specified H∞ performance demand involving a specified disturbance attenuation level. Necessary and sufficient conditions are put forward to ensure that such ideal estimators exist by employing stochastic analysis as well as using the completing squares method. The gain parameters of the finite-horizon estimators are expressed by adopting the Moore-Penrose pseudoinverse and acquired through solving the solutions to a group of coupled backward recursive Riccati difference equations with constraint conditions. A confirmatory instance is carried out that demonstrates the feasibility of the newly developed estimation algorithm. | Nan HOU Jiahui LI Hongjian LIU Yuan GE Hongli DONG | 2022 | Science China(Information Sciences)2022，65，3： | 0 |
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