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Anti-lipopolysaccharide factor D from kuruma shrimp exhibits antiviral activity

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Marine Life Science & Technology 2022年第1期4卷 52-61页

作者： Hai-shan jiang Li-Xia Lv Jin-Xing wang shandong Provincial Key Laboratory of Animal Cell and Developmental Biology School of Life SciencesShandong UniversityQingdao266237China

Anti-lipopolysaccharide factors(ALFs)exhibit a potent antimicrobial activity against a broad range of bacteria,filamentous fungi,and viruses.In previous reports,seven groups of ALFs(groups A–G)were identified in penaeid shrimp.Among them,group D showed negative net charges and weak antimicrobial activity.Whether this group has antiviral function is not clear.In this study,the ALF sequences of penaeid shrimp were analyzed,and eight groups of ALF family(groups A–H)were identified.The four ALFs including MjALF-C2,MjALF-D1,MjALF-D2,and MjALF-E2 from kuruma shrimp Marsupenaeus japonicus were expressed recombinantly in Escherichia coli,and the antiviral activity was screened via injection of purified recombinant ALFs into shrimp following white spot syndrome virus(WSSV)infection.Results showed that the expression of Vp28(WSSV envelope protein)decreased significantly in the MjALF-D2-injected shrimp only.Therefore,MjALF-D2 was chosen for further study.Expression pattern analysis showed that MjAlf-D2 was upregulated in shrimp challenged by WSSV.The WSSV replication was detected in RNA,genomic DNA,and protein levels using VP28 and Ie1(immediate-early gene of WSSV)as indicators in MjALF-D2-injected shrimp following WSSV infection.Results showed that WSSV replication was significantly inhibited compared with that in the rTRX-or PBS-injected control groups.After knockdown of MjAlf-D2 in shrimp by RNA interference,the WSSV replication increased significantly in the shrimp.All these results suggested that MjALF-D2 has an antiviral function in shrimp immunity,and the recombinant ALF-D2 has a potential application for viral disease control in shrimp aquaculture.

关键词： Anti-lipopolysaccharide factors Cationic and anionic antimicrobial peptides White spot syndrome virus Viral envelope protein

Metal-Free Synthesis of Benzo[a]phenanthridines from Aromatic Aldehydes,Cyclohexanones,and Aromatic Amines

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Chinese Journal of Chemistry 2022年第3期40卷 365-370页

作者： Pingyu jiang Zhifei shan shanping Chen Quanyuan wang Shuxin jiang Haolin Zheng Guo-Jun Deng Key Laboratory for Green Organic Synthesis and Application of Hunan Province Key Laboratory of Environmentally Friendly Chemistry and Application of Ministry of EducationCollege of ChemistryXiongtan UniversityXiangtanHunon 411105China Guangdong Provincial Key Laboratory of Luminescence from Molecular Aggregates(South China University of Technology) GuangzhouGuangdong 510640China

A three-component synthesis of benzo[a]phenanthridines from aromatic aldehydes,cyclohexanones,and aromatic amines has been developed,which is mediated by KI/DMSO/camphorsulfonic acid to afford a variety of functionalized benzo[a]phenanthridines in satisfactory yields.The present strategy provides a biaryl motif ortho to the nitrogen atom which has the potential to be used as ligand by further modification.With the advantages of readily available starting materials,transition-metal-free conditions,gram-scale synthesis,and broad substrate scope,this three-component protocol provides an efficient approach for the preparation of diverse benzo[a]phenanthridines.

关键词： Nitrogen heterocycles Multicomponent reactions Dehydroaromatization Cyclization Metal-free

A novel matrix topology-based analysis method of thermal circuits for reliability optimization of HSER

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Chinese Journal of Aeronautics 2024年第4期37卷 479-492页

作者： Huimin LIANG Bo LI Jiaxin YOU shan jiang Mengtong ZHU Aobo wang Department of Electrical Engineering Harbin Institute of TechnologyHarbin 150001China Nanjing Research Institute of Electronics Technology Nanjing 210008China

Hermetically Sealed Electromagnetic Relay(HSER), used in aviation and aerospace,demands high reliability due to its critical applications. Given its complex operating conditions, efficient thermal analysis is essential for optimizing reliability. The commonly used Finite Element Method(FEM) is often time-consuming and may not be efficient or adaptable for complex multi-dimensional system calculations and design processes. This paper introduces an analysis method for thermal networks based on matrix perspective technology, encompassing matrix transformation, backpropagation of the heat path model, temperature rise calculation, solution comparison, and product implementation. Using the similarity theory of heat circuits, a basic thermal unit is established. Based on the fundamental connection between key components, a thermal network for a typical HSER is designed. An experimental system is set up, and the thermal network model's accuracy is confirmed using test data. Employing the topology analysis method, the topology of the thermal network is analyzed under both coil-energized and de-energized states. Potential thermal paths are identified, leading to optimized solutions for the HSER. Utilizing these solutions, the thermal path matrix topology model is backpropagated to the thermal path for temperature rise calculations. When compared to prototype HSER test data, the efficiency and accuracy of this matrix topology-based analysis method are confirmed.

关键词： Thermal networks HSER(Hermetically Sealed Electromagnetic Relay) Heat-circuit topology model Heat-circuit matrix Optimization design

Nonpharmaceutical interventions eff ectively reduced infl uenza spread during the COVID-19 pandemic

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World Journal of Emergency Medicine 2023年第3期14卷 224-226页

作者： Yuan Yuan Yan Li Jiang-shan Wang Ye-cheng Liu Jun Xu Hua-dong Zhu Lu-zhao Feng Emergency Department State Key Laboratory of Complex Severe and Rare DiseasesPeking Union Medical College HospitalChinese Academy of Medical Science and Peking Union Medical CollegeBeijing 100005China School of Population Medicine&Public Health Chinese Academy of Medical Sciences/Peking Union Medical CollegeBeijing 100730China

Seasonal infl uenza,which is transmitted by droplets and direct contact,is a global public health issue that causes an average of 2.5 excess infl uenza-like illness(ILI)consultations per 1,000 person-years in China.[1]Nonpharmaceutical interventions(NPIs)against droplet and direct contact transmission,including social distancing measures and personal protective measures,are recommended to reduce the spread of disease.Social distancing measures comprised isolating ill persons,quarantining exposed persons,school and workplace closures,and avoiding crowds.Personal protective measures included hygiene,respiratory etiquette,and face masks.[2]In December 2019,coronavirus disease 2019(COVID-19)started to spread,and China introduced NPIs to address the pandemic in January 2020.These NPIs could also help reduce the spread of other respiratory diseases,such as seasonal influenza.[3]In the second half of 2020,the COVID-19 pandemic was gradually brought under control.Production,transport,and schools were returning to normal,while citizens were still required to wear masks in public.Cases of influenza also reappeared.This study compared the ILI percentage(ILI%),laboratory(LAB)-positive rate,incidence rate,and effective reproductive number(Rt)of infl uenzas from 2019 to 2022 to clarify the change in seasonal infl uenza spread after the COVID-19 outbreak.

关键词： protective measures spread

Picture-Induced EEG Signal Classification Based on CVC Emotion Recognition System

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Computers, Materials & Continua 2020年第11期65卷 1453-1465页

作者： Huiping jiang Zequn wang Rui Jiao shan jiang Brain Cognitive Computing Lab School of Information EngineeringMinzu University of ChinaBeijing100081China Information School The University of SheffieldSheffieldUK

Emotion recognition systems are helpful in human-machine interactions and Intelligence Medical applications.Electroencephalogram(EEG)is closely related to the central nervous system activity of the brain.Compared with other signals,EEG is more closely associated with the emotional activity.It is essential to study emotion recognition based on EEG information.In the research of emotion recognition based on EEG,it is a common problem that the results of individual emotion classification vary greatly under the same scheme of emotion recognition,which affects the engineering application of emotion recognition.In order to improve the overall emotion recognition rate of the emotion classification system,we propose the CSP_VAR_CNN(CVC)emotion recognition system,which is based on the convolutional neural network(CNN)algorithm to classify emotions of EEG signals.Firstly,the emotion recognition system using common spatial patterns(CSP)to reduce the EEG data,then the standardized variance(VAR)is selected as the parameter to form the emotion feature vectors.Lastly,a 5-layer CNN model is built to classify the EEG signal.The classification results show that this emotion recognition system can better the overall emotion recognition rate:the variance has been reduced to 0.0067,which is a decrease of 64%compared to that of the CSP_VAR_SVM(CVS)system.On the other hand,the average accuracy reaches 69.84%,which is 0.79%higher than that of the CVS system.It shows that the overall emotion recognition rate of the proposed emotion recognition system is more stable,and its emotion recognition rate is higher.

关键词： Deep learning convolutional neural network electroencephalogram emotional classification

Approaching the uniaxiality of magnetic anisotropy in singlemolecule magnets

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Science China Chemistry 2023年第3期66卷 683-702页

作者： Chen wang Yin-shan Meng shang-Da jiang Bing-Wu wang Song Gao School of Chemistry Chemical Engineering and Life ScienceWuhan University of TechnologyWuhan 430070China Beijing National Laboratory of Molecular Science Beijing Key Laboratory for Magnetoeletric Materials and DevicesCollege of Chemistry and Molecular EngineeringPeking UniversityBeijing 100871China State Key Laboratory of Fine Chemicals Dalian University of TechnologyDalian 116024China Spin-X Institute School of Chemistry and Chemical EngineeringState Key Laboratory of Luminescent Materials and DevicesGuangdong-Hong Kong-Macao Joint Laboratory of Optoelectronic and Magnetic Functional MaterialsSouth China University of TechnologyGuangzhou 510641China

Single-molecule magnets(SMMs),which can exhibit slow magnetization relaxation and bulk-magnet-like hysteresis of purely molecular origin,are promising candidates for high-density information storage,molecular spintronics,and quantum computing.To realize their applications,it is crucial to improve the blocking temperature(TB)and the effective relaxation barrier(Ueff).Three decades of multidisciplinary research have yielded distinct SMMs with a state-of-the-art Ueff of up to 2,000 K and a TB of up to the liquid nitrogen region.Several strategies have been investigated and summarized,which revealed that enhancing the uniaxiality of magnetic anisotropy is critical for constructing high-performance SMMs.Therefore,magnetic anisotropy,a key property that connects the molecular structure symmetry and performance of SMMs,plays a fundamental role in dictating magneto-structural correlations.Understanding and employing magnetic anisotropy would be significantly beneficial for rationally designing high-performance SMMs.This review focuses on the magnetic anisotropy of SMMs.We illustrate the origin and manifestation of magnetic anisotropy in mononuclear 3d-and 4f-block metal complexes.We then introduce developed approaches to investigate magnetic anisotropy both theoretically and experimentally.Typical SMMs by optimizing uniaxial magnetic anisotropy through lanthanide metallocene,symmetry controlling,and low-coordination approaches are represented.Furthermore,the remaining challenges and opportunities in this field will be discussed.

关键词： single-molecule magnets magnetic anisotropy uniaxiality lanthanide

Residual-stress relaxation mechanism and model description of 5052H32 Al alloy spun ellipsoidal heads during annealing treatment

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Advances in Manufacturing 2022年第1期10卷 87-100页

作者： Yong-Cheng Lin jiang-shan Zhu Jia-Yang Chen Jun-Quan wang School of Mechanical and Electrical Engineering Central South UniversityChangsha 410083People’s Republic of China

Marginal-restraint mandrel-free spinning is an advanced technology for manufacturing ellipsoidal heads with large diameter-thickness ratios.Nevertheless,the spinning-induced residual stress,which greatly influences the in-service performance of spun heads,should be removed.In this study,the effects of annealing on the residual-stress relaxation behavior of 5052H32 aluminum alloy spun heads were investigated.It is found that the residual stress first rapidly decreases and then remains steady with the increase in annealing time at the tested annealing temperatures.The relaxation of the residual stress becomes increasingly obvious with the increase in annealing temperature.When the annealing temperature is less than 220℃,there are no obvious changes in grain size.Moreover,the spinning-induced dislocations are consumed by the static recovery behavior,which decreases the residual stress during annealing.When the annealing temperature is approximately 300℃,the broken grains transform into equiaxed grains.In addition,static recrystallization and recovery behaviors occur simultaneously to promote the relaxation of the residual stress.Considering the different stress relaxation mechanisms,a model based on the Zener-Wert-Avrami equation was established to predict the residual-stress relaxation behavior.Finally,the optimized annealing temperature and time were approximately 300C and 30 min,respectively.

关键词： Spinning Residual stress Annealing treatment Microstructure evolution Relaxation mechanism

Strategies toward Highly Efficient Monolithic Perovskite/Organic Tandem Solar Cells

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中国化学:英文版 2023年第14期41卷 1753-1768页

作者： shan jiang Zhiyang Xu Fuzhi wang Shilei Tian Yang wang Chenghao Li Zhan'ao Tan State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power UniversityBeijing102206 China Beijing Advanced Innovation Center for Soft Matter Science and Engineering Beijing University of Chemical TechnologyBeijing100029 China Department of Coal and Syngas Conversion Sinopec Research Institute of Petroleum ProcessingBeijing100083 China

Constructing monolithic tandem solar cells (TSCs) is an effective method to break the Shockley–Queisser (S–Q) radiative efficiency limit for single-junction solar cells. Employing the wide bandgap perovskite materials and low bandgap organic materials as absorber layers for front and rear subcells, respectively, to construct perovskite/organic TSCs can complementarily absorb sunlight in ultraviolet-visible (UV-Vis) range by front perovskite and near-infrared (NIR) range by rear organic molecules, thus reducing the thermalization energy losses. Besides the subcells, the interconnection layer (ICL), which physically and electrically connects the front and rear subcells, is also an important tunnel junction to recombine charges. In this review, we summarize the optimization strategies of wide bandgap perovskites for front subcell, narrow bandgap organic material for rear subcell, and the ICLs employed in monolithic perovskite/organic TSCs.

关键词： Perovskite solar cells Wide bandgap perovskite Low bandgap organic molecule Tandem solar cells Subcells Interconnection layer Efficiency Open-circuit voltage

Intratumor heterogeneity,microenvironment,and mechanisms of drug resistance in glioma recurrence and evolution

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Frontiers of Medicine 2021年第4期15卷 551-561页

作者： Zhaoshi Bao Yongzhi wang Qiangwei wang Shengyu Fang Xia shan Jiguang wang Tao jiang Beijing Neurosurgical Institute Capital Medical UniversityBeijing 100050China Department of Neurosurgery Beijing Tiantan HospitalCapital Medical UniversityBeijing 100050China Divison of Life Science Department of Chemical and Biological EngineeringCenter for Systems Biology and Human Healthand State Key Laboratory of Molecular NeuroscienceThe Hong Kong University of Science and TechnologyHong KongChina China National Clinical Research Center for Neurological Diseases Beijing 100050China Division of Life Science Hong Kong University of Science and TechnologyHong KongChina Center of Brain Tumor Beijing Institute for Brain DisordersBeijing 100069China Department of Radiotherapy Beijing Tiantan HospitalCapital Medical UniversityBeijing 100050China

Glioma is the most common lethal tumor of the human brain.The median survival of patients with primary World Health Organization grade IV glioma is only 14.6 months.The World Health Organization classification of tumors of the central nervous system categorized gliomas into lower-grade gliomas and glioblastomas.Unlike primary glioblastoma that usually develop de novo in the elderly,secondary glioblastoma enriched with an isocitrate dehydrogenase mutant typically progresses from lower-grade glioma within 5-10 years from the time of diagnosis.Based on various evolutional trajectories brought on by clonal and subclonal alterations,the evolution patterns of glioma vary according to different theories.Some important features distinguish the normal brain from other tissues,e.g.,the composition of the microenvironment around the tumor cells,the presence of the blood-brain barrier,and others.The underlying mechanism of glioma recurrence and evolution patterns of glioma are different from those of other types of cancer.Several studies correlated tumor recurrence with tumor heterogeneity and the immune microenvironment.However,the detailed reasons for the progression and recurrence of glioma remain controversial.In this review,we introduce the different mechanisms involved in glioma progression,including tumor heterogeneity,the tumor microenvironment and drug resistance,and their pre-clinical implements in clinical trials.This review aimed to provide new insights into further clinical strategies for the treatment of patients with recurrent and secondary glioma.

关键词： glioma evolution mechanism strategies tumor heterogeneity secondary glioma