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| 1 | Progress in Nanocellulose Preparation and Application显示文摘Nanocellulose is a biodegradable, renewable, nonmeltable polymeric material that is insoluble in most solvents due to hydrogen bonding and crystallinity. Nanocellulose has attracted considerable attention in recent decades owing to its environmental friendliness, wide availability, good biocompatibility, high crystallinity, and high Young's modulus. This review presents the recent achievements in preparation and applications of nanocellulose, including a discussion of the advantages and disadvantages of various preparation methods and a summary of the applications of nanocellulose in composite materials research. Finally, we examine the mounting evidence of more widespread potential applications of nanocellulose. | HaiQuan Mao YongYang Gong YuanLi Liu ShiQi Wang LinLin Du Chun Wei | 2017 | Paper And Biomaterials2017，2，4： | 19 |
| 2 | Modeling habitat distribution of Cornus officinalis with Maxent modeling and fuzzy logics in China显示文摘Aims Predicting suitable habitat distribution is an effective way to protect rare or endangered medicinal plants.Cornus officinalis is a perennial tree growing in forest edge and its air-dried pericarp is one of the traditional Chinese medicines(TCM)with significant medicinal values.In recent years,C.officinalis has undergone severe degeneration of its natural habitat owing to growing market demands and unprecedented damage to the forests.Moreover,the degeneration of suitable habitat has threatened the supply of medicinal materials,and even led to the extinction of some engendered medicinal plant species.In this case,there is a great risk to introduce and cultivate medicinal plants if planners determine the suitable cultivation regions based on personal subjective experience alone.Therefore,predicting suitable potential habitat distribution of medicinal plants(e.g.C.officinalis)and revealing the environmental factors determining such distribution patterns are important to habitat conservation and environmental restoration.Methods In this article,we report the results of a study on the habitat distribution of C.officinalis using maximum entropy(Maxent)modeling and fuzzy logics together with loganin content and environmental variables.The localities of 106 C.officinalis in China were collected by our group and other researchers and used as occurrence data.The loganin content of 234 C.officinalis germplasm resources were tested by high-performance liquid chromatography(HPLC)and used as content data.79 environmental variables were selected and processed with multicollinearity test by using Pearson Correlation Coefficient(r)to determine a set of independent variables.The chosen variables were then processed in the fuzzy linear model according to the cell values(maximum,minimum)of localities with estimated loganin content.The SDMtoolbox was used to spatially rarefy occurrence data and prepare bias files.Furthermore,combined Maxent modeling and fuzzy logics were used to predict the suitable habitat of C.officinalis.The modeling result was validated using null-model method.Important Findings As a result,six environmental factors including tmin3,prec3,bio4,alt,bio12 and bio3 were determined as key influential factors that mostly affected both the habitat suitability and active ingredient of C.officinalis.The highly suitable regions of C.officinalis mainly distribute in a‘core distribution zone’of the east-central China.The statistically significant AUC value indicated that combined Maxent modeling and fuzzy logics could be used to predict the suitable habitat distribution of medicinal plants.Furthermore,our results confirm that ecological factors played critical roles in assessing suitable geographical regions as well as active ingredient of plants,highlighting the need for effective habitat rehabilitation and resource conservation. | Bo Cao Chengke Bai Linlin Zhang Guishuang Li Mingce Mao | 2016 | Journal of Plant Ecology2016，9，6： | 11 |
| 3 | Evaluation of chitosaneanionic polymers based tablets for extended-release of highly watersoluble drugs显示文摘The objective of this study is to develop chitosaneanionic polymers based extendedrelease tablets and test the feasibility of using this system for the sustained release of highly water-soluble drugs with high drug loading.Here,the combination of sodium valproate(VPS)and valproic acid(VPA)were chosen as the model drugs.Anionic polymers studied include xanthan gum(XG),carrageenan(CG),sodium carboxymethyl cellulose(CMC-Na)and sodium alginate(SA).The tablets were prepared by wet granulation method.In vitro drug release was carried out under simulated gastrointestinal condition.Drug release mechanism was studied.Compared with single polymers,chitosaneanionic polymers based system caused a further slowdown of drug release rate.Among them,CS exanthan gum matrix system exhibited the best extended-release behavior and could extend drug release for up to 24 h.Differential scanning calorimetry(DSC)and Fourier transform infrared spectroscopy(FTIR)studies demonstrated that polyelectrolyte complexes(PECs)were formed on the tablet surface,which played an important role on retarding erosion and swelling of the matrix in the later stage.In conclusion,this study demonstrated that it is possible to develop highly water-soluble drugs loaded extendedrelease tablets using chitosaneanionic polymers based system. | Yang Shao Liang Li Xiangqin Gu Linlin Wang Shirui Mao | 2015 | Asian Journal of Pharmaceutical Sciences2015，10，1： | 2 |
| 4 | Effect of formulation variables on in vitro release of a water-soluble drug from chitosanesodium alginate matrix tablets显示文摘The objective of this study is to investigate the feasibility of using chitosanesodium alginate(CSeSA)based matrix tablets for extended-release of highly water-soluble drugs by changing formulation variables.Using trimetazidine hydrochloride(TH)as a water-soluble model drug,influence of dissolution medium,the amount of CSeSA,the CS:SA ratio,the type of SA,the type and amount of diluents,on in vitro drug release from CSeSA based matrix tablets were studied.Drug release kinetics and release mechanisms were elucidated.In vitro release experiments were conducted in simulated gastric fluid(SGF)followed by simulated intestinal fluid(SIF).Drug release rate decreased with the increase of CSeSA amount.CS:SA ratio had only slight effect on drug release and no influence of SA type on drug release was found.On the other hand,a large amount of water-soluble diluents could modify drug release profiles.It was found that drug release kinetics showed the best fit to Higuchi equation with Fickian diffusion as the main release mechanism.In conclusion,this study demonstrated that it is possible to design extended-release tablets of watersoluble drugs using CSeSA as the matrix by optimizing formulation components,and provide better understanding about drug release from CSeSA matrix tablets. | Liang Li Jinfeng Li Shanshan Si Linlin Wang Chenjun Shi Yujiao Sun Zhenglin Liang Shirui Mao | 2015 | Asian Journal of Pharmaceutical Sciences2015，10，4： | 2 |
| 5 | Up-regulation of microRNA-1290 impairs cytokinesis and affects the reprogramming of colon cancer cells显示文摘 | Jia Wu Xiaowei Ji Linlin Zhu Qiaoli Jiang Zhenzhen Wen Song Xu Wei Shao Jianting Cai Qin Du Yongliang Zhu Jianshan Mao | 2012 | Cancer Letters2012，，： | 1 |
| 6 | Subspace detection for range-spread target to suppress interference:exploiting persymmetry in non-homogeneous scenario显示文摘This paper deals with subspace detection for rangespread target in non-homogeneous clutter with unknown covariance matrix where structured interference is presented in the received data.Through exploiting the persymmetry of the clutter covariance matrix,we propose two adaptive target detectors,which are referred to as persymmetric subspace Rao to suppress interference and persymmetric subspace Wald to suppress interference('PS-Rao-I'and'PS-Wald-I'),respectively.The persymmetry-based design brings in the advantage of easy implementation for small training sample support.The signal flow analysis of the two detectors shows that the PS-Rao-I rejects interference and integrates signals successively through separated matrix projection,while the PS-Wald-I jointly achieves interference elimination and signal combination via oblique projection.In addition,both detectors are shown to be constant false alarm rate detectors,significantly improving the detection performance with other competing detectors under the condition of limited training. | GAO Yongchan MAO Linlin ZHU Shengqi ZUO Lei | 2022 | Journal of Systems Engineering and Electronics2022，33，1： | 1 |
| 7 | Design and development of a mitochondrial-targeted photosensitizer for two-photon fluorescence imaging and photodynamic therapy显示文摘Mitochondria are well-acknowledged as ideal targets for tumor therapy due to their important role in energy supply and cellular signal regulation.Mitochondria-specific photosensitizers have been reported to be critical for inducing cell apoptosis.Two-photon fluorescence imaging provides a new technique for delineating biological structures and activities in deep tissues.Herein,we developed a new aggregation-induced emission(AIE)active photosensitizer by attaching a pyridinium group for mitochondrial target-ing.The rationally designed photosensitizer(TTTP)exhibited excellent photophysical properties,good biocompatibility,reactive oxygen species(ROS)stimulation ability,anticancer efficacy,and two-photon imaging properties.TTTP was highly taken up by cells and accumulated specifically in mitochondria but was selectively cytotoxic to cancer cells.Under light irradiation,the generation of ROS was significantly boosted,leading to actively induced apoptosis.The in vivo tumor photodynamic therapeutic efficacy of TTTP showed significant inhibition of tumor growth.Furthermore,the underlying mechanism of TTTP tu-mor suppression revealed that the apoptosis agonist Bax was markedly up-regulated while the antagonist Bcl-xL was down-regulated.This research provides a potential mitochondrial-targeted phototherapeutic agent for effective therapy and two-photon fluorescence imaging. | Yu Chen Sheng Zhang Tianjiao Cheng Wei Lin Linlin Mao Zhonghui Chen Yang Yang Hanqing Huang Jinqiu Li Zhiyong Ke Zhong-Kai Cui | 2023 | Journal of Materials Science & Technology2023，，10： | 0 |
| 8 | Deep Domain-Adversarial Anomaly Detection With One-Class Transfer Learning显示文摘Despite the big success of transfer learning techniques in anomaly detection,it is still challenging to achieve good transition of detection rules merely based on the preferred data in the anomaly detection with one-class classification,especially for the data with a large distribution difference.To address this challenge,a novel deep one-class transfer learning algorithm with domain-adversarial training is proposed in this paper.First,by integrating a hypersphere adaptation constraint into domainadversarial neural network,a new hypersphere adversarial training mechanism is designed.Second,an alternative optimization method is derived to seek the optimal network parameters while pushing the hyperspheres built in the source domain and target domain to be as identical as possible.Through transferring oneclass detection rule in the adaptive extraction of domain-invariant feature representation,the end-to-end anomaly detection with one-class classification is then enhanced.Furthermore,a theoretical analysis about the model reliability,as well as the strategy of avoiding invalid and negative transfer,is provided.Experiments are conducted on two typical anomaly detection problems,i.e.,image recognition detection and online early fault detection of rolling bearings.The results demonstrate that the proposed algorithm outperforms the state-of-the-art methods in terms of detection accuracy and robustness. | Wentao Mao Gangsheng Wang Linlin Kou Xihui Liang | 2023 | IEEE/CAA Journal of Automatica Sinica2023，10，2： | 0 |
| 9 | Study on Coconut Shell Activated Carbon Temperature Swing Adsorption of Benzene and Formaldehyde显示文摘Adsorption can be used to recover effectively the volatile organic gases(VOCs)in the exhaust gas from factories through using an appropriate adsorption bed.Due to form a physical or chemical bond,adsorption occurs between the porous solid medium and the liquid or gas multi component fluid mixture.The regeneration capa-city of the adsorbent is as important as the adsorption capacity and it determines the economics of the adsorption system.The regeneration of adsorbent can be realized through changing the pressure or temperature of the system.Here,activated carbon samples from coconut shell were prepared and characterized.Benzene or formal-dehyde in the mixed air was used as the adsorption object,and the adsorption experiment was carried out in a U-shaped bed.Discussed how adsorption was affected by activated carbon type,adsorbate and temperature.The results show that oxidation modifed activated carbon can increase the adsorption effect of form aldehyde,but will reduce the ad sorption effect of benzene,because their ad sorption mechanism is different.At 30℃,the saturated adsorption apacity of AC-0 for benzene is 437.0 mg/g.and that of AC-1 for formaldehyde is 670.5 mg/g.In the experimental range,it is found that the adsorption capacity increases with the decrease of temperature,and their changes are very consistent with the ftted ExpDecay1 function. | Zhiguang Yang Gaojun Yan Xueping Liu Zhengyuan Feng Xinfeng Zhu Yanli Mao Songtao Chen Zhisheng Yu Ruimei Fan Linlin Shan | 2022 | Journal of Renewable Materials2022，10，12： | 0 |
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