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Chinese Journal of Natural Medicines 2021年第9期19卷 693-699页

作者： ZHANG Jin-Jin CHEN bao-Song dai Huan-qin REN Jin-Wei ZHOU Li-Wei WU Sheng-Hua LIU Hong-Wei State Key Laboratory of Mycology Institute of MicrobiologyChinese Academy of SciencesBeijing 100101China Savaid Medical School University of Chinese Academy of SciencesBeijing 100049China Department of Biology National Museum of Natural ScienceTaichung 40453TaiwanChina

A chemical investigation on the fermentation products of Sanghuangporus sanghuang led to the isolation and identification of fourteen secondary metabolites(1-14)including eight sesquiterpenoids(1-8)and six polyphenols(9-14).Compounds1-3 were sesquiterpenes with new structures which were elucidated based on NMR spectroscopy,high resolution mass spectrometry(HRMS)and electronic circular dichroism(ECD)*** the isolates were tested for their stimulation effects on glucose uptake in insulin-resistant HepG2 cells,and cellular antioxidant *** 9-12 were subjected to molecular docking experiment to primarily evaluate their anti-coronavirus(SARS-CoV-2)*** a result,compounds 9-12 were found to increase the glucose uptake of insulin-resistant HepG2 cells by 18.1%,62.7%,33.7%and 21.4%at the dose of 50μmol·L^(-1),*** 9-12 also showed good cellular antioxidant activities with CAA_(50)values of 12.23,23.11,5.31 and 16.04μmol·L^(-1),*** docking between COVID-19 M^(pro)and compounds 9-12 indicated potential SARS-CoV-2 inhibitory activity of these four *** work provides new insights for the potential role of the medicinal mushroom *** as drugs and functional foods.

关键词： Sanghuangporus sanghuang Sesquiterpenoids Polyphenols Glucose-uptake stimulation Cellular antioxidant activity Anti-coronavirus activity

Synthesis and characterization of cadmium-calcium hydroxyapatite solid solutions

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International Journal of Minerals,Metallurgy and Materials 2014年第6期21卷 604-608页

作者： Xin Zhao Yi-nian Zhu Liu-qin dai College of Light Industry and Food Engineering Guangxi University College of Environmental Science and Engineering Guilin University of Technology

A series of cadmium-calcium hydroxyapatite solid solutions was prepared by an aqueous precipitation method. By various means, the characterizations confirmed the formation of continuous solid solutions over all ranges of Cd/（Cd＋Ca） atomic ratio. In the results, both lattice parameters a and c display slight deviations from Vegard’s rule when the Cd/（Cd＋Ca） atomic ratio is greater than 0.6. The particles change from smaller acicular to larger hexagonal columnar crystals as the Cd/（Cd＋Ca） atomic ratio increases from 0-0.60 to 0.60-1.00. The area of the phosphate peak for symmetric P-O stretching decreases with the increase in Cd/（Cd＋Ca） atomic ratio, and the peak disappears when the Cd/（Cd＋Ca） atomic ratio is greater than 0.6; the two phosphate peaks of P-O stretching gradually merge together for the Cd/（Cd＋Ca） atomic ratio near 0.60. These variations can be explained by a slight tendency of larger Cd ions to occupy M（2） sites and smaller Ca ions to prefer M（1） sites in the structure.

关键词： hydroxyapatite solid solutions cadmium calcium substitution

All-quantum-dot information system

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Nano Research 2024年第12期17卷 10570-10584页

作者： Junpeng Chen Chensheng dai Yuxuan Zhen Ding Zhao Jie bao Department of Electronic Engineering Tsinghua UniversityBeijing 100084China

In 2023,the Nobel Prize in Chemistry was awarded to Bawendi,Brus,and Ekimov,three scientists who have made great contributions to the discovery and synthesis of quantum dots(QDs),heralding a new era for these *** inception of QDs dates back more than 40 years,during which the theory of QDs has been continuously refined,the manufacturing techniques have significantly flourished,and the applications have largely ***,QDs have become important optical devices,playing key roles in numerous fields such as display,energy,and biomedical *** celebrate the outstanding achievements of QDs over the years,we dedicate this paper to *** the information field,QDs have been extensively utilized to design devices related to domains like transmission and storage,achieving many breakthroughs in *** paper proposes a comprehensive set of methodologies and paradigms for designing information systems using *** proposed approach embodies two characteristics of QDs:1)QDs play a central role in every aspect of the system and possess the capability to construct an all-quantum-dot(All-QD)information system.2)QDs possess tunability and wavelength flexibility,which can significantly enhance the information ***,we construct a prototype model of an All-QD information system and validate its feasibility through *** believe that with the continued development of quantum dot(QD)technology,the realization of an All-QD information system is on the horizon.

关键词： quantum dot information system information generation information transmission information storage information computation

Ubiquitination modification:critical regulation of IRF family stability and activity

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Science China(Life Sciences) 2021年第6期64卷 957-965页

作者： bao-qin Liu Jin Jin Yi-yuan Li Key Laboratory for Developmental Genes and Human Disease Ministry of EducationInstitute of Life SciencesJiangsu Province High-Tech Key Laboratory for Bio-Medical ResearchSoutheast UniversityNanjing 210096China MOE Laboratory of Biosystem Homeostasis and Protection and Life Sciences InstituteZhejiang UniversityHangzhou 310058China Sir Run Run Shaw Hospital College of Medicine Zhejiang UniversityHangzhou 310016China

Interferon regulatory factors(IRFs)play pivotal and critical roles in innate and adaptive immune responses;thus,precise and stringent regulation of the stability and activation of IRFs in physiological processes is *** stability and activities of IRFs are directly or indirectly targeted by endogenous and exogenous proteins in an ubiquitin-dependent ***,few reviews have summarized how host E3 ligases/DUBs or viral proteins regulate IRF stability and ***,with recent technological developments,details about the ubiquitination of IRFs have been continuously *** knowledge of how these proteins function and interact with IRFs may facilitate a better understanding of the regulation of IRFs in immune responses or other biological processes,we summarized current studies on the direct ubiquitination of IRFs,with an emphasis on how these proteins interact with IRFs and affect their activities,which may provide exciting targets for drug development by regulating the functions of specific E3 ligases.

关键词： IRFs ubiquitination E3 ubiquitin ligase viral proteins activation degradation

Highly active and stable Cu_(9)S_(5)-MoS_(2)heterostructures nanocages enabled by dual-functional Cu electrocatalyst with enhanced potassium storage

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Journal of Materials Science & Technology 2023年第12期143卷 107-116页

作者： bao Zhang baohe Xu Haozhe qin Liang Cao Xing Ou Engineering Research Center of the Ministry of Education for Advanced Battery Materials School of Metallurgy and EnvironmentCentral South UniversityChangsha 410083China School of Materials Engineering Changshu Institute of TechnologyChangshu 215500China

The intrinsic poor electrical conductivity,severe dissolution of K x S y intermediates,and inferior conversion reaction reversibility extremely impede the practical application of the transition-metal chalcogenides(TMDs)anode for potassium-ion batteries(PIBs).Herein,a rationally designed Cu_(9)S_(5)/MoS_(2)/C heterostruc-ture hollow nanocage was synthesized with assistance from metal-organic frameworks(MOFs)*** the K-storage process,the homogeneously distributed the sulfiphilic nature of Cu 0 reaction prod-uct could act as a dual-functional catalyst,not only facilitating the rapid charge transfer but also effec-tively anchoring(K x S y)polysulfides,thus boosting K-storage reactions reversibility during the conversion reaction *** applied as an anode for PIBs,the as-prepared heterostructure exhibits excellent reversible capacity and long cycle lifespan(350.5 mAh g^(-1)at 0.1 A g^(-1)and 0.04%per cycle capacity de-cay at 1 A g^(-1)after 1000 cycles).Additionally,the potassium storage mechanism is distinctly revealed by in-situ *** nanoarchitecture designing strategy for the advanced electrode in this work could provide vital guidance for relevant energy storage materials.

关键词： Nanocage hollow structure Metal-organic frameworks Cu_(9)S_(5)-MoS_(2)heterostructure Dual-functional catalyst Potassium-ion batteries

The glycosylation in SARS-CoV-2 and its receptor ACE2

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Signal Transduction and Targeted Therapy 2021年第12期6卷 3486-3509页

作者： Yanqiu Gong Suideng qin Lunzhi dai Zhixin Tian National Clinical Research Center for Geriatrics and Department of General Practice State Key Laboratory of BiotherapyWest China HospitalSichuan Universityand Collaborative Innovation Center of Biotherapy610041 ChengduChina School of Chemical Science&Engineering Shanghai Key Laboratory of Chemical Assessment and SustainabilityTongji University200092 ShanghaiChina

Coronavirus disease 2019(COVID-19),a highly infectious disease caused by severe acute respiratory syndrome coronavirus 2(SARSCoV-2),has infected more than 235 million individuals and led to more than 4.8 million deaths worldwide as of October ***-electron microscopy and topology show that the SARS-CoV-2 genome encodes lots of highly glycosylated proteins,such as spike(S),envelope(E),membrane(M),and ORF3a proteins,which are responsible for host recognition,penetration,binding,recycling and *** we reviewed the detections,substrates,biological functions of the glycosylation in SARS-CoV-2 proteins as well as the human receptor ACE2,and also summarized the approved and undergoing SARS-CoV-2 therapeutics associated with *** review may not only broad the understanding of viral glycobiology,but also provide key clues for the development of new preventive and therapeutic methodologies against SARS-CoV-2 and its variants.

关键词： ACE2 acute respiratory

Modified Saint-Venant equations for flow simulation in tidal rivers

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Water Science and Engineering 2012年第1期5卷 34-45页

作者： Xiao-qin ZHANG Wei-min bao College of Hydrology and Water Resources Hohai UniversityNanjing 210098P.R.China State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering Hohai UniversityNanjing 210098P.R.China

Flow in tidal rivers periodically propagates upstream or downstream under tidal influence. Hydrodynamic models based on the Saint-Venant equations （the SVN model） are extensively used to model tidal rivers. A force-corrected term expressed as the combination of flow velocity and the change rate of the tidal fevel was developed to represent tidal effects in the SVN model. A momentum equation incorporating with the corrected term was derived based on Newton＇s second law. By combing the modified momentum equation with the continuity equation, an improved SVN model for tidal rivers （the ISVN model） was constructed. The simulation of a tidal reach of the Qiantang River shows that the ISVN model performs better than the SVN model. It indicates that the corrected force derived for tidal effects is reasonable; the ISVN model provides an appropriate enhancement of the SVN model for flow simulation of tidal rivers.

关键词： tidal river, tidal effect, dynamic water pressure Saint-Venant equations corrected force, flow simulation

Effect of streamlined nose length on aerodynamic performance of high-speed train with a speed of 400 km/h

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2024年第7期25卷 525-540页

作者： Nianxun LI Tian LI Zhiyuan dai Deng qin Jiye ZHANG State Key Laboratory of Rail Transit Vehicle System Southwest Jiaotong UniversityChengdu 610031China

The streamlined nose length(SNL)plays a crucial role in determining the aerodynamic performance of high-speed *** appropriate SNL can not only effectively reduce the magnitude of aerodynamic drag and lift forces,but also improve the performance of the high-speed train in tunnel passing and crosswind *** this study,a numerical simulation of the aerodynamic performance of high-speed trains at a speed of 400 km/h,with varying SNLs,is conducted using the k-ωshear stress transport(SST)turbulence *** different SNLs include 6.0,7.0,8.0,9.0,9.8,12.0,15.0,and 18.0 *** order to validate the accuracy of the numerical simulation,its results are compared with wind tunnel test data obtained from the *** simulation is carried out using compressible and incompressible gases to determine the effect of gas compressibility on *** impact of SNL on the aerodynamic performance of the trains is analyzed in terms of aerodynamic forces,velocity,and pressure *** comparison to the original train,the train with a 6.0 m SNL experienced a 10.8%increase in overall aerodynamic ***,the lift forces on the head and tail cars increased by 35.7%and 75.5%,*** the other hand,the train with an 18.0 m SNL exhibited a 16.5%decrease in aerodynamic ***,the lift forces on the head and tail cars decreased by 21.9%and 49.7%,*** aerodynamic drag force of the entire train varies linearly with the SNL,while the aerodynamic lift of the tail car follows a quadratic function in relation to the SNL.

关键词： Streamlined nose length(SNL) High-speed train Aerodynamic performance Numerical simulation Flow structures

Item-level Forecasting for E-commerce Demand with High-dimensional Data Using a Two-stage Feature Selection Algorithm

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Journal of Systems Science and Systems Engineering 2022年第2期31卷 247-264页

作者： Hongyan dai qin Xiao Nina Yan Xun Xu Tingting Tong Business School Central University of Finance and EconomicsBeijing 100081China Department of Management Operationsand MarketingCollege of Business AdministrationCalifornia State UniversityStanislausTurlockCA95382United States Institute of Supply Chain Analytics&International Business College Dongbei University of Finance and EconomicsDalian 116025China

With the rapid development of information technology and fast growth of Internet users,e-commerce nowadays is facing complex business environment and accumulating large-volume and highdimensional *** brings two challenges for demand ***,e-merchants need to find appropriate approaches to leverage the large amount of data and extract forecast features to capture various factors affecting the ***,they need to efficiently identify the most important features to improve the forecast accuracy and better understand the key drivers for demand *** solve these challenges,this study conducts a multi-dimensional feature engineering by constructing five feature categories including historical demand,price,page view,reviews,and competition for e-commerce demand forecasting on *** then propose a two-stage random forest-based feature selection algorithm to effectively identify the important features from the high-dimensional feature set and avoid *** test our proposed algorithm with a large-scale dataset from the largest e-commerce platform in *** numerical results from 21,111 items and 109 million sales observations show that our proposed random forest-based forecasting framework with a two-stage feature selection algorithm delivers 11.58%,5.81%and 3.68%forecast accuracy improvement,compared with the Autoregressive Integrated Moving Average(ARIMA),Random Forecast,and Random Forecast with one-stage feature selection approach,respectively,which are widely used in literature and *** study provides a useful tool for the practitioners to forecast demands and sheds lights on the B2C e-commerce operations management.

关键词： Forecasting e-commerce high-dimensional feature feature selection

Gasification of Organic Waste:Parameters,Mechanism and Prediction with the Machine Learning Approach

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Journal of Renewable Materials 2023年第6期11卷 2771-2786页

作者： Feng Gao Liang bao qin Wang Yibin Research Institute Southwest Jiaotong UniversityYibinChina Office of Domestic Cooperation and Educational Training Management Southwest Jiaotong UniversityChengduChina School of Computer Science and Technology Xidian UniversityXi’anChina Faculty of Geosciences and Environmental Engineering Southwest Jiaotong UniversityChengduChina

Gasification of organic waste represents one of the most effective valorization pathways for renewable energy and resources recovery,while this process can be affected by multi-factors like temperature,feedstock,and steam content,making the product’s prediction *** the popularization and promotion of artificial intelligence such as machine learning(ML),traditional artificial neural networks have been paid more attention by researchers from the data science field,which provides scientific and engineering communities with flexible and rapid prediction frameworks in the field of organic waste *** this work,critical parameters including temperature,steam ratio,and feedstock during gasification of organic waste were reviewed in three scenarios including steam gasification,air gasification,and oxygen-riched gasification,and the product distribution and involved mechanism were ***,we presented the details of ML methods like regression analysis,artificial neural networks,decision trees,and related methods,which are expected to revolutionize data analysis and modeling of the gasification of organic *** outputs including the syngas yield,composition,and HHVs were discussed with a better understanding of the gasification process and ML *** review focused on the combination of gasification and ML,and it is of immediate significance for the resource and energy utilization of organic waste.

关键词： Gasification organic waste machine learning gas composition