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| 1 | Glycerol aerobic oxidation to glyceric acid over Pt/hydrotalcite catalysts at room temperature显示文摘Glycerol(GLY) aerobic oxidation in an aqueous solution is one of the most prospective pathways in biomass transformation, where the supported catalysts based on noble metals(mainly Au, Pd, Pt) are most commonly employed. Herein, Pt nanoparticles supported on rehydrated MgxAl1-hydrotalcite(denoted as re-MgxAl1-LDH-Pt) were prepared via impregnation-reduction method followed by an in situ rehydration process, which showed high activity and selectivity towards GLY oxidation to produce glyceric acid(GLYA) at room temperature. The metal-support interfacial structure and catalyst basicity were modulated by changing the Mg/Al molar ratio of the hydrotalcite precursor, and the optimal performance was achieved on re-Mg6Al1-LDH-Pt with a GLY conversion of 87.6% and a GLYA yield of 58.6%, which exceeded the traditional activated carbon and oxide supports. A combinative study on structural characterizations(XANES, CO-FTIR spectra, and benzoic acid titration) proves that a higher Mg/Al molar ratio promotes the formation of positively charged Ptd+species at metal-support interface, which accelerates bond cleavage of a-C–H and improves catalytic activity. Moreover, a higher Mg/Al molar ratio provides a stronger basicity of support that contributes to the oxidation of terminal-hydroxyl and thus enhances the selectivity of GLYA. This catalyst with tunable metal-support interaction shows prospective applications toward transformation of biomass-based polyols. | Junbo Zhang Xiaolin Li Ming Xu Yusen Yang Yinwen Li Ning Liu Xiaoyu Meng Lifang Chen Shuxian Shi Min Wei | 2019 | Science Bulletin2019，64，23： | 8 |
| 2 | Traditional Chinese Medicine syndrome elements of male infertility revealed by latent tree model analysis显示文摘OBJECTIVE: To explore the features of Traditional Chinese Medicine(TCM) syndromes in male infertility using computer-based analyses.METHODS: Latent class analysis was used to analyze the TCM syndrome data from 813 patients with male infertility and establish a latent tree model.RESULTS: A latent tree model with a Bayesian information criterion score of-11 263 was created.This model revealed that the characteristics of basic TCM syndromes in patients with male infertility were kidney Yang deficiency, kidney Qi deficiency,spleen Yang deficiency, liver Qi stagnation, Qi stagnation and blood stasis, and dump-heat; moreover,most patients with male infertility had complex syndromes(spleen-kidney Yang deficiency and liver Qi stagnation) rather than simple single syndromes.CONCLUSION: The hidden tree model analysis revealed the objective and quantitative complex relationships between the TCM symptoms of male infertility, and obtained the quantification and objective evidence of TCM syndromes in male infertility. | Zhang Zhijie Liu Shaoming Zhang Yueyang Yang Jingzhe Kong Tao Wang Chengli Ning Peng Chen Xiaochao Li Xuesong Jia Yusen Chen Xiaojun | 2018 | Journal of Traditional Chinese Medicine2018，38，6： | 5 |
| 3 | Regulation of phenylpropanoid biosynthesis by MdMYB88 and MdMYB124 contributes to pathogen and drought resistance in apple显示文摘MdMYB88 and MdMYB124 have been demonstrated to be responsible for lignin accumulation in apple under drought stress.In this study,using a metabolomic approach,we identified differentially accumulated phenylpropanoid and flavonoid metabolites in MdMYB88/124 transgenic RNAi plants under control and long-term drought stress conditions in apple roots.We confirmed the regulation of phenylalanine by MdMYB88 and MdMYB124 via UPLC-MS in apple roots under both control and drought conditions.Using Electrophoretic Mobility Shift Assay(EMSA)and ChIPquantitative PCR(qPCR)analyses,we found that MdMYB88 positively regulates the MdCM2 gene,which is responsible for phenylalanine biosynthesis,through binding to its promoter region.Under long-term drought conditions,MdMYB88/124 RNAi plants consistently accumulated increased amounts of H2O2 and MDA,while MdMYB88 and MdMYB124 overexpression plants accumulated decreased amounts of H2O2 and MDA.We also examined the accumulation of metabolites in the phenylpropanoid biosynthesis pathway in the leaves of MdMYB88 and MdMYB124 transgenic apple plants after long-term drought stress.We found that metabolites responsible for plant defense,including phenylpropanoids and flavonoids,accumulated less in the RNAi plants but more in the overexpression plants under both control and drought conditions.We further demonstrated that MdMYB88/124 RNAi plants were more sensitive to Alternaria alternata f.sp.mali and Valsa mali,two pathogens that currently severely threaten apple production.In contrast,MdMYB88 and MdMYB124 overexpression plants were more tolerant to these pathogens.The cumulative results of this study provided evidence for secondary metabolite regulation by MdMYB88 and MdMYB124,further explained the molecular roles of MdMYB88 and MdMYB124 in drought resistance,and provided information concerning molecular aspects of their roles in disease resistance. | Dali Geng Xiaoxia Shen Yinpeng Xie Yusen Yang Ruiling Bian Yuqi Gao Pengmin Li Liying Sun Hao Feng Fengwang Ma Qingmei Guan | 2020 | Horticulture Research2020，7，1： | 5 |
| 4 | Fault Diagnosis of Power Transformers Using Graph Convolutional Network显示文摘Existing methods for transformer fault diagnosis either train a classifier to fit the relationship between dissolved gas and fault type or find some similar cases with unknown samples by calculating the similarity metrics.Their accuracy is limited,since they are hard to learn from other algorithms to improve their own performance.To improve the accuracy of transformer fault diagnosis,a novel method for transformer fault diagnosis based on graph convolutional network(GCN)is proposed.The proposed method has the advantages of two kinds of existing methods.Specifically,the adjacency matrix of GCN is utilized to fully represent the similarity metrics between unknown samples and labeled samples.Furthermore,the graph convolutional layers with strong feature extraction ability are used as a classifier to find the complex nonlinear relationship between dissolved gas and fault type.The back propagation algorithm is used to complete the training process of GCN.The simulation results show that the performance of GCN is better than that of the existing methods such as convolutional neural network,multi-layer perceptron,support vector machine,extreme gradient boosting tree,k-nearest neighbors and Siamese network in different input features and data volumes,which can effectively meet the needs of diagnostic accuracy. | Wenlong Liao Dechang Yang Yusen Wang Xiang Ren | 2021 | CSEE Journal of Power and Energy Systems2021，7，2： | 4 |
| 5 | Response of PM_(2.5)-bound elemental species to emission variations and associated health risk assessment during the COVID-19 pandemic in a coastal megacity显示文摘The coronavirus(COVID-19)pandemic is disrupting the world from many aspects.In this study,the impact of emission variations on PM_(2.5)-bound elemental species and health risks associated to inhalation exposure has been analyzed based on real-time measurements at a remote coastal site in Shanghai during the pandemic.Most trace elemental species decreased significantly and displayed almost no diel peaks during the lockdown.After the lockdown,they rebounded rapidly,of which V and Ni even exceeded the levels before the lockdown,suggesting the recovery of both inland and shipping activities.Five sources were identified based on receptor modeling.Coal combustion accounted for more than 70%of the measured elemental concentrations before and during the lockdown.Shipping emissions,fugitive/mineral dust,and waste incineration all showed elevated contributions after the lockdown.The total non-carcinogenic risk(HQ)for the target elements exceeded the risk threshold for both children and adults with chloride as the predominant species contributing to HQ.Whereas,the total carcinogenic risk(TR)for adults was above the acceptable level and much higher than that for children.Waste incineration was the largest contributor to HQ,while manufacture processing and coal combustion were the main sources of TR.Lockdown control measures were beneficial for lowering the carcinogenic risk while unexpectedly increased the non-carcinogenic risk.From the perspective of health effects,priorities of control measures should be given to waste incineration,manufacture processing,and coal combustion.A balanced way should be reached between both lowering the levels of air pollutants and their health risks. | Guochen Wang Kan Huang Qingyan Fu Jia Chen Juntao Huo Qianbiao Zhao Yusen Duan Yanfen Lin Fan Yang Wenjie Zhang Hao Li Jian Xu Xiaofei Qin Na Zhao Congrui Deng | 2022 | Journal of Environmental Sciences2022，34，12： | 2 |
| 6 | Data-driven Missing Data Imputation for Wind Farms Using Context Encoder显示文摘High-quality datasets are of paramount importance for the operation and planning of wind farms.However,the datasets collected by the supervisory control and data acquisition(SCADA)system may contain missing data due to various factors such as sensor failure and communication congestion.In this paper,a data-driven approach is proposed to fill the missing data of wind farms based on a context encoder(CE),which consists of an encoder,a decoder,and a discriminator.Through deep convolutional neural networks,the proposed method is able to automatically explore the complex nonlinear characteristics of the datasets that are difficult to be modeled explicitly.The proposed method can not only fully use the surrounding context information by the reconstructed loss,but also make filling data look real by the adversarial loss.In addition,the correlation among multiple missing attributes is taken into account by adjusting the format of input data.The simulation results show that CE performs better than traditional methods for the attributes of wind farms with hallmark characteristics such as large peaks,large valleys,and fast ramps.Moreover,the CE shows stronger generalization ability than traditional methods such as auto-encoder,K-means,k-nearest neighbor,back propagation neural network,cubic interpolation,and conditional generative adversarial network for different missing data scales. | Wenlong Liao Birgitte Bak-Jensen Jayakrishnan Radhakrishna Pillai Dechang Yang Yusen Wang | 2022 | Journal of Modern Power Systems and Clean Energy2022，10，4： | 1 |
| 7 | Effects of Traditional Chinese Medicine on the survival of patients with stage Ⅰ gastric cancer and high-risk factors:a real-world retrospective study显示文摘OBJECTIVE:To investigate the benefits of Traditional Chinese Medicine(TCM) therapy for improving the survival of patients with stage I gastric cancer(GC) and high-risk factors in a real-world setting.METHODS:The clinical data of patients who were diagnosed with stage I GC from March 1,2012 to October 31,2020 were collected.Prognostic analysis was performed to explore the high-risk factors that affected the survival of the patients.A Cox multivariate regression model was used to compare the hazard ratios for the mortality risk of patients,especially those with high-risk factors.Kaplan-Meier survival curve and log-rank test were utilized to assess the survival time.RESULTS:Prognostic analysis demonstrated that female sex,tumor invasion into blood vessels,and Ib stage were independent risk factors.The 1-,3-,and 5-year survival rates of the TCM group vs those of the non-TCM group were 100.0% vs 91.0%,97.6% vs 64.5%,and 81.4% vs 55.5%,respectively.A significant difference in median overall survival(m OS) was found between the two groups(χ2 = 7.670,P = 0.006).Subgroup analysis showed that the m OS of female patients and stage Ib patients in the TCM group were longer than those in the non-TCM group (P ≤ 0.001 and 0.001,respectively).CONCLUSIONS:TCM treatment can improve the survival of patients with stage I GC and high-risk factors. | HOU Chao ZHANG Yusen YANG Die LI Yifei ZHANG Xiaochun LIU Yanqing | 2023 | Journal of Traditional Chinese Medicine2023，43，3： | 1 |
| 8 | A Production-Inventory System with Markovian Capacity and Outsourcing Option显示文摘 | YANG JIAN QI XIANGTONG XIA YUSEN | 2005 | Operations Research2005，，2： | 1 |
| 9 | Real time disruption management in a two-stage production and inventory system显示文摘 | XIA Yusen YANG M S GOLANY B | 2004 | IIE Transactions2004，36，1： | 1 |
| 10 | Extractingbuildings distribution information of different heights fromthe shadows in high resolution images显示文摘 | Dong Yusen Zhan Yunjun Yang Shuwen | | 0，，： | 1 |
| 11 | Effects of Vapor Pressure/Velocity and Concentration on Condensation Heat Transfer for Steam-Ethanol Vapor Mixture显示文摘 | Yan Junjie Yang Yusen Hu Shenhua | 2007 | Heat and Mass Transfer2007，44，1： | 1 |
| 12 | A de novo missense mutation in MPP2 confers an increased risk of Vogt–Koyanagi–Harada disease as shown by trio-based whole-exome sequencing显示文摘Vogt–Koyanagi–Harada(VKH)disease is a leading cause of blindness in young and middle-aged people.However,the etiology of VKH disease remains unclear.Here,we performed the first trio-based whole-exome sequencing study,which enrolled 25 VKH patients and 50 controls,followed by a study of 2081 VKH patients from a Han Chinese population to uncover detrimental mutations.A total of 15 de novo mutations in VKH patients were identified,with one of the most important being the membrane palmitoylated protein 2(MPP2)p.K315N(MPP2-N315)mutation.The MPP2-N315 mutation was highly deleterious according to bioinformatic predictions.Additionally,this mutation appears rare,being absent from the 1000 Genome Project and Genome Aggregation Database,and it is highly conserved in 10 species,including humans and mice.Subsequent studies showed that pathological phenotypes and retinal vascular leakage were aggravated in MPP2-N315 mutation knock-in or MPP2-N315 adeno-associated virus-treated mice with experimental autoimmune uveitis(EAU).In vitro,we used clustered regularly interspaced short palindromic repeats(CRISPR‒Cas9)gene editing technology to delete intrinsic MPP2 before overexpressing wild-type MPP2 or MPP2-N315.Levels of cytokines,such as IL-1β,IL-17E,and vascular endothelial growth factor A,were increased,and barrier function was destroyed in the MPP2-N315 mutant ARPE19 cells.Mechanistically,the MPP2-N315 mutation had a stronger ability to directly bind to ANXA2 than MPP2-K315,as shown by LC‒MS/MS and Co-IP,and resulted in activation of the ERK3/IL-17E pathway.Overall,our results demonstrated that the MPP2-K315N mutation may increase susceptibility to VKH disease. | Xianyang Liu Jiayu Meng Xingyun Liao Yusen Liu Qian Zhou Zongren Xu Shuming Yin Qingfeng Cao Guannan Su Siyuan He Wanqian Li Xiaotang Wang Guoqing Wang Dali Li Peizeng Yang Shengping Hou | 2023 | Cellular & Molecular Immunology2023，20，11： | 0 |
| 13 | Scenario Generations for Renewable Energy Sources and Loads Based on Implicit Maximum Likelihood Estimations显示文摘Scenario generations for renewable energy sources and loads play an important role in the stable operation and risk assessment of integrated energy systems.This paper proposes a deep generative network based method to model time-series curves,e.g.,power generation curves and load curves,of renewable energy sources and loads based on implicit maximum likelihood estimations(IMLEs),which can generate realistic scenarios with similar patterns as real ones.After training the model,any number of new scenarios can be obtained by simply inputting Gaussian noises into the data generator of IMLEs.The proposed approach does not require any model assumptions or prior knowledge of the form in the likelihood function being made during the training process,which leads to stronger applicability than explicit density model based methods.The extensive experiments show that the IMLEs accurately capture the complex shapes,frequency-domain characteristics,probability distributions,and correlations of renewable energy sources and loads.Moreover,the proposed approach can be easily generalized to scenario generation tasks of various renewable energy sources and loads by fine-tuning parameters and structures. | Wenlong Liao Birgitte Bak-Jensen Jayakrishnan Radhakrishna Pillai Zhe Yang Yusen Wang Kuangpu Liu | 2022 | Journal of Modern Power Systems and Clean Energy2022，10，6： | 0 |
| 14 | An Automatic Generation System of Reinforcement Detail Drawings for Hydraulic Structures显示文摘Reinforcement detail drawings are one important part of the design of hydraulic structures and the important basis of construction and management. However, the efficiency of the traditional creation of engineering drawings is very low and the workload is heavy. There is no satisfactory software for hydraulic engineering because of the irregularity and diversity of hydraulic structures’ shape. An automatic generation system of reinforcement detail drawings for hydraulic structures is introduced. Its functions and modules are introduced first. The related technologies such as automatic driensioning are discussed in detail. At the end of the paper, an example is given. | Qian Yusen Chen Liping Zhong Yifang Zhou Ji (National CAD Sopport Software Engineering Research Center (Wuhan) Huazhong University of Science and Technology, Wuhan P. r. China, 430074) Niu Xinqiang Yang Xinjun Yang Benxin (Changjiang Water Resource C | 2000 | Computer Aided Drafting,Design and Manufacturing2000，10，1： | 0 |
| 15 | Medicinal chemistry strategies towards the development of non-covalent SARS-CoV-2 Mpro inhibitors显示文摘The main protease(M^(pro))of SARS-CoV-2 is an attractive target in anti-COVID-19 therapy for its high conservation and major role in the virus life cycle.The covalent M^(pro)inhibitor nirmatrelvir(in combination with ritonavir,a pharmacokinetic enhancer)and the non-covalent inhibitor ensitrelvir have shown efficacy in clinical trials and have been approved for therapeutic use.Effective antiviral drugs are needed to fight the pandemic,while non-covalent M^(pro)inhibitors could be promising alternatives due to their high selectivity and favorable druggability.Numerous non-covalent M^(pro)inhibitors with desirable properties have been developed based on available crystal structures of M^(pro).In this article,we describe medicinal chemistry strategies applied for the discovery and optimization of non-covalent M^(pro)inhibitors,followed by a general overview and critical analysis of the available information.Prospective viewpoints and insights into current strategies for the development of non-covalent M^(pro)inhibitors are also discussed. | Letian Song Shenghua Gao Bing Ye Mianling Yang Yusen Cheng Dongwei Kang Fan Yi Jin-Peng Sun Luis Menéndez-Arias Johan Neyts Xinyong Liu Peng Zhan | 2024 | Acta Pharmaceutica Sinica B2024，14，1： | 0 |
| 16 | Discovery of novel sulfonamide substituted indolylarylsulfones as potent HIV-1 inhibitors with better safety profiles显示文摘Indolylarylsulfones(IASs) are classical HIV-1 non-nucleoside reverse transcriptase inhibitors(NNRTIs) with a unique scaffold and possess potent antiviral activity.To address the high cytotoxicity and improve safety profiles of IASs,we introduced various sulfonamide groups linked by alkyl diamine chain to explore the entrance channel of non-nucleoside inhibitors binding pocket.48 compounds were designed and synthesized to evaluate their anti-HIV-1 activities and reverse transcriptase inhibition activities.Especially,compound R_(10)L_(4) was endowed with significant inhibitory activity towards wild-type HIV-1(EC_(50(WT))=0.007μmol/L,SI=30,930) as well as a panel of single-mutant strains exemplified by L100I(EC_(50)=0.017μmol/L,SI=13,055),E138K(EC_(50)=0.017μmol/L,SI=13,123) and Y181C(EC_(50)=0.045μmol/L,SI=4753) which were superior to Nevirapine and Etravirine.Notably,R_(10)L_(4) was characterized with significantly reduced cytotoxicity(CC_(50)=216.51μmol/L) and showed no remarkable in vivo toxic effects(acute and subacute toxicity).Moreover,the computer-based docking study was also employed to characterize the binding mode between R_(10)L_(4) and HIV-1 RT.Additionally,R_(10)L_(4) presented an acceptable pharmacokinetic profile.Collectively,these results deliver precious insights for next optimization and indicate that the sulfonamide IAS derivatives are promising NNRTIs for further development. | Shenghua Gao Letian Song Yusen Cheng Fabao Zhao Dongwei Kang Shu Song Mianling Yang Bing Ye Wei Zhao Yajie Tang Erik De Clercq Christophe Pannecouque Peng Zhan Xinyong Liu | 2023 | Acta Pharmaceutica Sinica B2023，13，6： | 0 |
| 17 | Scenario Generation for Cooling,Heating,and Power Loads Using Generative Moment Matching Networks显示文摘Scenario generations of cooling,heating,and power loads are of great significance for the economic operation and stability analysis of integrated energy systems.In this paper,a novel deep generative network is proposed to model cooling,heating,and power load curves based on generative moment matching networks(GMMNs)where an auto-encoder transforms highdimensional load curves into low-dimensional latent variables and the maximum mean discrepancy represents the similarity metrics between the generated samples and the real samples.After training the model,the new scenarios are generated by feeding Gaussian noises to the scenario generator of the GMMN.Unlike the explicit density models,the proposed GMMN does not need to artificially assume the probability distribution of the load curves,which leads to stronger universality.The simulation results show that the GMMN not only fits the probability distribution of multiclass load curves very well,but also accurately captures the shape(e.g.,large peaks,fast ramps,and fluctuation),frequency-domain characteristics,and temporal-spatial correlations of cooling,heating,and power loads.Furthermore,the energy consumption of generated samples closely resembles that of real samples. | Wenlong Liao Yusen Wang Yuelong Wang Kody Powell Qi Liu Zhe Yang | 2022 | CSEE Journal of Power and Energy Systems2022，8，6： | 0 |
| 18 | A novel channel-wall engineering strategy for two-dimensional cationic covalent organic frameworks:Microwave-assisted anion exchange and enhanced carbon dioxide capture显示文摘A novel channel-wall engineering strategy of the porous materials cationic covalent organic frameworks(COFs)is established based on rapid microwave-assisted anion exchange reaction and utilized to prepare a set of new COFs.Due to the interaction between the carbon dioxide(C02)and the acetate anion,the resulting SJTU-COF-AcO shows greatly enhanced carbon dioxide capacity up to 1.7 times of the pristine COF.The effect of the counteranions to CO2 capacity in the cationic COFs is investigated for the first time,which demonstrates that our channel-wall engineering strategy is a promising way to tailor the property of COFs for high CO2 capacity. | Yusen Ding Yan Wang Yanjie Su Zhi Yang Jiaqiang Liu Xiaolin Hua Hao Wei | 2020 | Chinese Chemical Letters2020，31，1： | 0 |
| 19 | Visualizing Wallerian degeneration in the corticospinal tract after sensorimotor cortex ischemia in mice显示文摘Stroke can cause Wallerian degeneration in regions outside of the brain,particularly in the corticospinal tract.To investigate the fate of major glial cells and axons within affected areas of the corticospinal tract following stroke,we induced photochemical infarction of the sensorimotor cortex leading to Wallerian degeneration along the full extent of the corticospinal tract.We first used a routine,sensitive marker of axonal injury,amyloid precursor protein,to examine Wallerian degeneration of the corticospinal tract.An antibody to amyloid precursor protein mapped exclusively to proximal axonal segments within the ischemic cortex,with no positive signal in distal parts of the corticospinal tract,at all time points.To improve visualization of Wallerian degeneration,we next utilized an orthograde virus that expresses green fluorescent protein to label the corticospinal tract and then quantitatively evaluated green fluorescent protein-expressing axons.Using this approach,we found that axonal degeneration began on day 3 post-stroke and was almost complete by 7 days after stroke.In addition,microglia mobilized and activated early,from day 7 after stroke,but did not maintain a phagocytic state over time.Meanwhile,astrocytes showed relatively delayed mobilization and a moderate response to Wallerian degeneration.Moreover,no anterograde degeneration of spinal anterior horn cells was observed in response to Wallerian degeneration of the corticospinal tract.In conclusion,our data provide evidence for dynamic,pathogenic spatiotemporal changes in major cellular components of the corticospinal tract during Wallerian degeneration. | Jiao Mu Liufang Hao Zijue Wang Xuyang Fu Yusen Li Fei Hao Hongmei Duan Zhaoyang Yang Xiaoguang Li | 2024 | Neural Regeneration Research2024，19，3： | 0 |
| 20 | Effect of annealing on the electrical performance of N-polarity GaN Schottky barrier diodes显示文摘A nitrogen-polarity(N-polarity)GaN-based high electron mobility transistor(HEMT)shows great potential for high-fre-quency solid-state power amplifier applications because its two-dimensional electron gas(2DEG)density and mobility are mini-mally affected by device scaling.However,the Schottky barrier height(SBH)of N-polarity GaN is low.This leads to a large gate leakage in N-polarity GaN-based HEMTs.In this work,we investigate the effect of annealing on the electrical characteristics of N-polarity GaN-based Schottky barrier diodes(SBDs)with Ni/Au electrodes.Our results show that the annealing time and tem-perature have a large influence on the electrical properties of N-polarity GaN SBDs.Compared to the N-polarity SBD without annealing,the SBH and rectification ratio at±5 V of the SBD are increased from 0.51 eV and 30 to 0.77 eV and 7700,respec-tively,and the ideal factor of the SBD is decreased from 1.66 to 1.54 after an optimized annealing process.Our analysis results suggest that the improvement of the electrical properties of SBDs after annealing is mainly due to the reduction of the inter-face state density between Schottky contact metals and N-polarity GaN and the increase of barrier height for the electron emis-sion from the trap state at low reverse bias. | Nuo Xu Gaoqiang Deng Haotian Ma Shixu Yang Yunfei Niu Jiaqi Yu Yusen Wang Jingkai Zhao Yuantao Zhang | 2024 | Journal of Semiconductors2024，45，4： | 0 |
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