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Chinese Journal of Electronics 2024年

作者： Nan HE Lei WANG yi tong College of Electronic and Optical Engineering and College of Flexible Electronics (Future Technology) College of Integrated Circuit Science and Engineering Nanjing University of Posts and Telecommunications Gusu Laboratory of Materials

Three-atoms-type V2C MXene, an emerging class of transition metal carbides, has attracted tremendous attention in the fabrication of advanced memristive devices due to its excellent electrochemical properties. However, the inserted and behind physical effects of inserting V2C on traditional TiO2-based memristors have not been clearly explored. In this work, exhaustive electrical characterizations of the V2C/TiO2-based devices exhibit enhanced performance（e.g., improved switching stability and lower operating voltages） compared to the TiO2-based counterparts. In addition, the advantaged influences of the inserted V2C have also been studied by means of firstprinciples calculations, confirming that V2C MXene enables controllable internal ionic process and facilitated formation mechanism of the Ag conductive filaments. This work demonstrates a way to combine experimental and theoretical investigations to reveal the positive effects of introducing V2C MXene on memristor, which is beneficial for fabricating performance-enhanced memristors.

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Treatment of multisystem inflammatory syndrome in children

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World Journal of Pediatrics 2024年第4期20卷 325-339页

作者： tong tong yi-Hua Jin Min Wang Fang-Qi Gong Department of Cardiology Children's HospitalZhejiang University School of MedicineNational Clinical Research Center for Child HealthNo.3333 Binsheng RoadHangzhou 310052China

Background Multisystem inflammatory syndrome in children(MIS-C),a relatively uncommon but severe pediatric complication,is associated with coronavirus disease 2019(COVID-19).A variety of treatment approaches,including intravenous immunoglobulins(IVIGs),glucocorticoids(GCs)and biologic agents,such as anakinra and infliximab,have been described for the management of COVID-19-related MIS-C.Anticoagulant therapy is also important.However,a well-developed treatment system has not been established,and many issues remain controversial.Several recently published articles related to the treatment of MIS-C have been released.Hence,in this review,we identified relevant articles published recently and summarized the treatment of MIS-C more comprehensively and systematically.Data sources We reviewed the literature on the treatment of MIS-C through 20 September 2023.The PubMed/Medline,Web of Science,EMBASE,and Cochrane Library databases were searched with the combination of the terms"multisystem inflammatory syndrome","MIS-C","PIMS-TS","therapy","treatment","drug","IVIG","GCs","intravenous immunoglobulin","corticosteroids","biological agent",and"aspirin".Results The severity of MIS-C varies,and different treatment schemes should be used according to the specific condition.Ongoing research and data collection are vital to better understand the pathophysiology and optimal management of MIS-C.Conclusions MIS-Cis a disease involving multiple systems and has great heterogeneity.With the accumulation of additional experience,we have garnered fresh insights into its treatment strategies.However,there remains a critical need for greater standardization in treatment protocols,alongside the pressing necessity for more robust and meticulously conducted studies to deepen our understanding of these protocols.

关键词： Coronavirus disease 2019-Corticosteroids Intravenous immunoglobulin Multisystem inflammatory syndrome in children-Treatment

Iridoids modulate inflammation in diabetic kidney disease: A review

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Journal of Integrative Medicine 2024年第3期22卷 210-222页

作者： tong-yi Zhou Na Tian Liu Li Rong Yu The First Clinical College of Chinese Medicine Hunan University of Chinese MedicineChangsha 410208Hunan ProvinceChina Hunan Provincial Key Laboratory of Translational Research in Traditional Chinese Medicine Prescriptions and Zheng Changsha 410208Hunan ProvinceChina

In recent years,preclinical research on diabetic kidney disease (DKD) has surged to the forefront of scientific and clinical attention.DKD has become a pervasive complication of type 2 diabetes.Given the complexity of its etiology and pathological mechanisms,current interventions,including drugs,dietary modifications,exercise,hypoglycemic treatments and lipid-lowering methods,often fall short in achieving desired therapeutic outcomes.Iridoids,primarily derived from the potent components of traditional herbs,have been the subject of long-standing research.Preclinical data suggest that iridoids possess notable renal protective properties;however,there has been no summary of the research on their efficacy in the management and treatment of DKD.This article consolidates findings from in vivo and in vitro research on iridoids in the context of DKD and highlights their shared anti-inflammatory activities in treating this condition.Additionally,it explores how certain iridoid components modify their chemical structures through the regulation of intestinal flora,potentially bolstering their therapeutic effects.This review provides a focused examination of the mechanisms through which iridoids may prevent or treat DKD,offering valuable insights for future research endeavors.

关键词： Diabetic kidney disease Iridoids Gut-kidney axis Traditional Chinese medicine monomer Inflammation

Enhancing Deep Learning Semantics:The Diffusion Sampling and Label-Driven Co-Attention Approach

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Computers, Materials & Continua 2024年第5期79卷 1939-1956页

作者： ChunhuaWang Wenqian Shang tong yi Haibin Zhu State Key Laboratory of Media Convergence and Communication Communication University of ChinaBeijing100024China School of Computer and Cyber Sciences Communication University of ChinaBeijing100024China School of Computer Science and Engineering Guangxi Normal UniversityGuilin541004China Department of Computer Science Nipissing UniversityNorth BayON P1B 8L7Canada

The advent of self-attention mechanisms within Transformer models has significantly propelled the advancement of deep learning algorithms,yielding outstanding achievements across diverse domains.Nonetheless,self-attention mechanisms falter when applied to datasets with intricate semantic content and extensive dependency structures.In response,this paper introduces a Diffusion Sampling and Label-Driven Co-attention Neural Network(DSLD),which adopts a diffusion sampling method to capture more comprehensive semantic information of the data.Additionally,themodel leverages the joint correlation information of labels and data to introduce the computation of text representation,correcting semantic representationbiases in thedata,andincreasing the accuracyof semantic representation.Ultimately,the model computes the corresponding classification results by synthesizing these rich data semantic representations.Experiments on seven benchmark datasets show that our proposed model achieves competitive results compared to state-of-the-art methods.

关键词： Semantic representation sampling attention label-driven co-attention attention mechanisms

LEGENDRE-GAUSS-RADAU SPECTRAL COLLOCATION METHOD FOR NONLINEAR SECOND-ORDER INITIAL VALUE PROBLEMS WITH APPLICATIONS TO WAVE EQUATIONS

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Journal of Computational Mathematics 2024年第1期42卷 217-247页

作者： Lina Wang Qian tong Lijun yi Mingzhu Zhang Department of Mathematics Shanghai Normal UniversityShanghai 200234China School of Science Henan University of EngineeringZhengzhou 451191China

We propose and analyze a single-interval Legendre-Gauss-Radau(LGR)spectral collocation method for nonlinear second-order initial value problems of ordinary differential equations.We design an efficient iterative algorithm and prove spectral convergence for the single-interval LGR collocation method.For more effective implementation,we propose a multi-interval LGR spectral collocation scheme,which provides us great flexibility with respect to the local time steps and local approximation degrees.Moreover,we combine the multi-interval LGR collocation method in time with the Legendre-Gauss-Lobatto collocation method in space to obtain a space-time spectral collocation approximation for nonlinear second-order evolution equations.Numerical results show that the proposed methods have high accuracy and excellent long-time stability.Numerical comparison between our methods and several commonly used methods are also provided.

关键词： Legendre-Gauss-Radau collocation method Second-order initial value problem Spectral convergence Wave equation

IoV environment exploring coordination:A federated learning approach

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Digital Communications and Networks 2024年第1期10卷 135-141页

作者： tong Ding Lei Liu yi Zhu Lizhen Cui Zhongmin Yan School of Software Shandong UniversityJinan250101China

Exploring open fields with coordinated unmanned vehicles is popular in academia and industries.One of the most impressive applicable approaches is the Internet of Vehicles(lov).The IoV connects vehicles,road infrastructures and communication facilities to provide solutions for exploration tasks.However,the coordination of acquiring information from multi-vehicles may risk data privacy.To this end,sharing high-quality experiences instead of raw data has become an urgent demand.This paper employs a Deep Reinforcement Learning(DRL)method to enable IoVs to generate training data with prioritized experience and states,which can support the IoV to explore the environment more efficiently.Moreover,a Federated Learning(FL)experience sharing model is established to guarantee the vehicles'privacy.The numerical results show that the proposed method presents a better successful sharing rate and a more stable convergence within the comparison of fundamental methods.The experiments also suggest that the proposed method could support agents without full information to achieve the tasks.

关键词： Internet of vehicle Deep reinforcement learning Federated learning Data privacy

A privacy-preserving method for publishing data with multiple sensitive attributes

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CAAI Transactions on Intelligence Technology 2024年第1期9卷 222-238页

作者： tong yi Minyong Shi Wenqian Shang Haibin Zhu School of Computer Science and Engineering Guangxi Normal UniversityGuilinChina School of Computer Science Communication University of ChinaBeijingChina Department of Computer Science and Mathematics Nipissing UniversityNorth BayOntarioCanada

The overgeneralisation may happen because most studies on data publishing for multiple sensitive attributes(SAs)have not considered the personalised privacy requirement.Furthermore,sensitive information disclosure may also be caused by these personalised requirements.To address the matter,this article develops a personalised data publishing method for multiple SAs.According to the requirements of individuals,the new method partitions SAs values into two categories:private values and public values,and breaks the association between them for privacy guarantees.For the private values,this paper takes the process of anonymisation,while the public values are released without this process.An algorithm is designed to achieve the privacy mode,where the selectivity is determined by the sensitive value frequency and undesirable objects.The experimental results show that the proposed method can provide more information utility when compared with previous methods.The theoretic analyses and experiments also indicate that the privacy can be guaranteed even though the public values are known to an adversary.The overgeneralisation and privacy breach caused by the personalised requirement can be avoided by the new method.

关键词： data privacy data publishing

Recent advances in age-related metabolic dysfunction-associated steatotic liver disease

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World Journal of Gastroenterology 2024年第7期30卷 652-662页

作者： Qian-Jun He yi-Fei Li Ling-tong Zhao Chun-tong Lin Chun-Yan Yu Dan Wang College of Basic Medicine Beihua UniversityJilin 132013Jilin ProvinceChina Department of Traumatic Surgery Jilin Central HospitalJilin 132001Jilin ProvinceChina

Metabolic dysfunction-associated steatotic liver disease(MASLD)affects approximately 25%of the world's population and has become a leading cause of chronic liver disease.In recent years,an increasing amount of data suggests that MASLD is associated with aging.As the population ages,age-related MASLD will become a major global health problem.Targeting an aging will become a new approach to the treatment of MASLD.This paper reviews the current studies on the role of aging-related factors and therapeutic targets in MASLD,including:Oxidative stress,autophagy,mitochondrial homeostasis,bile acid metabolism homeostasis,and dysbiosis.The aim is to identify effective therapeutic targets for age-related MASLD and its progression.

关键词： Metabolic dysfunction-associated steatotic liver disease Aging Mitochondrial homeostasis Bile acid homeostasis Dysbiosis

Effect of Hyperconjugation on Photovoltaic Performance in Pseduo-2D Perylene Diimide Derivatives

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Chinese Journal of Chemistry 2024年第7期42卷 725-730页

作者： Zhilong He Yuwen Hong Guangyu Li tong Shan yi Zhang Hongliang Zhong Schoolof Chemistry and Chemical Engineering Shanghai Key Lab of Electrical Insulation and Thermal AgingShanghai Jiao Tong UniversityShanghai200230China Shanghai Institute of Organic Chemistry Chinese Academy of SciencesShanghai 200032China Shenzhen Research institute Shanghai Jiao Tong UniversityShenzhenGuangdong 518057China

Theπ-πinteraction is acknowledged as the predominant factor to determine the molecular packing in organic photovoltaic materials,while other non-covalent intermolecular interactions especially theσ-πhyperconjugation are often ignored.Herein,a perylene diimide(PDI)derivative named FIDT-PDI is designed and synthesized to shed light into the effect of hyperconjugation on the molecular packing and further the photovoltaic performance.Dynamic NMR and 2D NOE NMR demonstrate the formation of intermolecularσ-πhyperconjugation between the C—H bond of the PDI moiety in one molecule and the phenyl sidechain in another molecule of FIDT-PDI.Benefiting from theσ-πhyperconjugation,FIDT-PDI with twisted backbone reversely exhibits more ordered packing and stronger crystallinity compared with another PDI derivative FIDTT-PDI which has better planarity,consequently achieving superior PCE and higher carrier mobility.This contribution is the first paradigm to unravel the structure-property relationship betweenσ-πhyper-conjugation of conjugated materials and corresponding photovoltaic performance.

关键词： Hyperconjugation Weak intermolecular interactions Conformation Organic solar cells Nonfullerene acceptor Perylene diimide

Efficacy and safety of remimazolam in bronchoscopic sedation:A meta-analysis

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World Journal of Clinical Cases 2024年第6期12卷 1120-1129页

作者： ying Zhou Cheng Zhao yi-Xun Tang Ji-tong Liu Department of Anesthesiology The First Affiliated Hospital of Hunan Normal University(Hunan Provincial People’s Hospital)Changsha 410005Hunan ProvinceChina Department of Anesthesiology Zhangjiajie People's HospitalZhangjiajie 427000Hunan ProvinceChina

BACKGROUND Remimazolam is a new benzodiazepine used for procedural sedation and general anesthesia.Several studies have used remimazolam for bendable bronchoscopy.AIM To assess the safety and efficacy of remimazolam for sedation in patients undergoing bendable bronchoscopy by performing a meta-analysis of randomized controlled trials(RCTs).METHODS We searched the EMBASE,PubMed,Cochrane Library,and Web of Science databases for RCTs on bendable bronchoscopic procedural sedation with remimazolam vs conventional sedatives(CS).RESULTS Five studies with 1080 cases were included.Remimazolam had the same sedation success rate compared with CS[relative risk(RR):1.35,95%CI:0.60-3.05,P=0.474,I2=99.6%].However,remimazolam was associated with a lower incidence of hypotension(RR:0.61;95%CI:0.40-0.95,P=0.027;I2=65.1%)and a lower incidence of respiratory depression(RR:0.50,95%CI:0.33-0.77,P=0.002,I2=42.3%).A subgroup analysis showed a higher success rate of sedation with remimazolam than midazolam(RR:2.45,95%CI:1.76-3.42,P<0.001).Compared with propofol,the incidence of hypotension(RR:0.45,95%CI:0.32-0.64,P<0.001,I2=0.0%),respiratory depression(RR:0.48,95%CI:0.30-0.76,P=0.002,I2=78.4%),hypoxemia(RR:0.36,95%CI:0.15-0.87,P=0.023),and injection pain(RR:0.04,95%CI:0.01-0.28,P=0.001)were lower.CONCLUSION Remimazolam is safe and effective during bronchoscopy.The sedation success rate was similar to that in the CS group.However,remimazolam has a higher safety profile,with fewer inhibitory effects on respiration and circulation.

关键词： Remimazolam Bronchoscopy Procedural sedation Meta-analysis