Novel sandwich structured glass fiber Cloth/Poly(ethylene oxide)-MXene composite electrolyte

Recently,poly(ethylene oxide)(PEO)-based solid polymer electrolytes have been attracting great attention,and efforts are currently underway to develop PEO-based composite electrolytes for next generation high performance all-solid-state lithium metal batteries.In this article,a novel sandwich structured solid-state PEO composite electrolyte is developed for high performance all-solid-state lithium metal batteries.The PEO-based composite electrolyte is fabricated by hot-pressing PEO,LiTFSI and Ti_(3)C_(2)T_(x) MXene nanosheets into glass fiber cloth(GFC).The as-prepared GFC@PEO-MXene electrolyte shows high mechanical properties,good electrochemical stability,and high lithium-ion migration number,which indicates an obvious synergistic effect from the microscale GFC and the nanoscale MXene.Such as,the GFC@PEO-1 wt%MXene electrolyte shows a high tensile strength of 43.43 MPa and an impressive Young's modulus of 496 MPa,which are increased by 1205%and 6048%over those of PEO.Meanwhile,the ionic conductivity of GFC@PEO-1 wt%MXene at 60℃ reaches 5.01×10^(-2) S m^(-1),which is increased by around 200%compared with that of GFC@PEO electrolyte.In addition,the Li/Li symmetric battery based on GFC@PEO-1 wt%MXene electrolyte shows an excellent cycling stability over 800 h(0.3 mA cm^(-2),0.3 mAh cm^(-2)),which is obviously longer than that based on PEO and GFC@PEO electrolytes due to the better compatibility of GFC@PEO-1 wt%MXene electrolyte with Li anode.Furthermore,the solid-state Li/LiFePO_(4) battery with GFC@PEO-1 wt%MXene as electrolyte demonstrates a high capacity of 110.2–166.1 mAh g^(-1) in a wide temperature range of 25–60C,and an excellent capacity retention rate.The developed sandwich structured GFC@PEO-1 wt%MXene electrolyte with the excellent overall performance is promising for next generation high performance all-solid-state lithium metal batteries.

A rapid and visual detection method for Crimean-Congo hemorrhagic fever virus by targeting S gene

Crimean-Congo hemorrhagic fever(CCHF)is a zoonotic disease caused by the CCHF virus(CCHFV),which is primarily transmitted by ticks(Lorenzo Juanes et al.2023).It is an emerging disease that occurs sporadically in Africa,Asia,and Europe,with a high morbidity and mortality rate,as high as 30%in humans(Ceylan et al.2013).CCHFV,belonging to genus Nairovirus,family Bunyaviridae,was first identified in the Congo in the 1960s.

间二甲苯的离解光电离的实验与理论研究

本文利用同步辐射真空紫外和超声分子束反射式飞行时间质谱系统研究间二甲苯的光电离和离解光电离.通过测定母体离子C_(8)H_(10)^(+)和主要碎片离子(C_(8)H_(9)^(+)和C_(7)H_(7)^(+))的光电离效率谱,确定了母体分子的电离能和主要碎片离子(C_(8)H_(8)^(+)和C_(7)H_(7)^(+))的出现势分别为8.60±0.03 eV,11.76±0.04 eV和11.85±0.05 eV eV.在B3LYP/6-311++G(d,p)水平上优化了两个主要解离通道的反应物、过渡态、中间体和产物的结构,并在G3水平上计算了它们的能量,以及两个主要的离解光电离通道产物C_(7)H_(7)^(+)+CH_(3)和C_(8)H_(9)^(+)+H的能量.结合理论和实验结果,间二甲苯的离解光电离机理主要过程是C-H键或C-C键的离解和氢迁移.

聚醚醚酮/聚醚酰亚胺合金的热学性能与力学性能

通过熔融共混和注塑成型的方法制备了不同质量比的聚醚醚酮/聚醚酰亚胺(PEEK/PEI)合金,确定了各种质量比下时的最佳加工温度。采用热重分析、差示扫描量热分析、动态力学热分析和拉伸、三点弯曲的性能表征方法,研究了PEEK/PEI共混合金的热学和力学性能随PEEK/PEI质量比的变化趋势。结果表明,各组分比的PEEK/PEI合金均具有良好的热稳定性;随着PEEK含量增加,合金结晶度呈现上升的趋势,而玻璃化转变温度不断下降;室温时,PEEK含量对PEEK/PEI共混物的力学性能影响较弱;当测试温度稍低于PEEK玻璃化转变温度时,其力学性能随着PEEK含量的增加表现出降低的趋势;当测试温度在PEEK与PEI玻璃化转变温度之间时,合金的力学性能随着PEEK含量的增加先下降再上升。最后,基于随机森林法量化了合金质量比及热性能参数对PEEK/PEI合金力学性能的贡献程度。

乳液模板法制备聚酰亚胺中空微球及其形貌调控

以聚酰胺酸(PAA)为前驱体、甲基硅油(SO)为油相、乙醇和水作为沉淀剂,采用乳液模板法制备了聚酰亚胺(PI)中空微球。重点研究了沉淀剂中乙醇的比例、PAA溶液的固含量及PAA溶液/SO体积比对微球粒径和形貌的影响;采用光学显微镜、扫描电镜、红外光谱和热重分析仪对微球的形成过程、粒径和形貌、化学结构和热稳定性进行了表征。当沉淀剂中乙醇/水体积比为1:1、PAA溶液固含量为6%、PAA溶液/SO体积比为1:1时,PI微球的粒径为4.75μm。制备出的PI中空微球均具有较好的热稳定性,其起始热分解温度为442℃。

Flexible and electrically robust graphene-based nanocomposite paper with hierarchical microstructures for multifunctional wearable devices

Multifunctional and flexible wearable devices play a crucial role in a wide range of applications,such as heath monitoring,intelligent skins,and human-machine interactions.Developing flexible and conductive materials for multifunctional wearable devices with low-cost and high efficiency methods are highly desirable.Here,a conductive graphene/microsphere/bamboo fiber(GMB)nanocomposite paper with hierarchical surface microstructures is successfully fabricated through a simple vacuum-assisted filtration followed by thermo-foaming process.The as-prepared microstructured GMB nanocomposite paper exhibits not only a high volume electrical conductivity of~45 S/m but also an excellent electrical stability(i.e.,relative changes in resistance are less than 3%under stretching,folding,and compressing loadings)due to its unique structure features.With this microstructured nanocomposite paper as active sensing layer,microstructured pressure sensors with a high sensitivity(-4 kPa^(-1)),a wide sensing range(0–5 kPa),and a rapid response time(about 140 ms)are realized.In addition,benefitting from the outstanding electrical stability and mechanical flexibility,the microstructured nanocomposite paper is further demonstrated as a low-voltage Joule heating device.The surface temperature of the microstructured nanocomposite paper rapidly reaches over 80℃ when applying a relatively low voltage of 7 V,indicating its potential in human thermotherapy and thermal management.

单向拉伸碳纤维填充导电橡胶薄膜的裂纹扩展行为

为研究单向拉伸应力条件下裂纹对导电橡胶薄膜的影响,采取喷涂法制备碳纤维填充的导电橡胶薄膜,用撕裂能评价含预制裂纹橡胶薄膜的抗裂纹扩展能力,探究含不同长度、角度、位置和形状的预制裂纹导电橡胶薄膜的力学行为,并分析碳纤维对裂纹扩展的影响。结果表明,随表面I型裂纹长度增加,导电橡胶薄膜的拉伸强度和断裂伸长率呈近线性下降,而其撕裂能则分段下降;内部裂纹对薄膜性能影响稍大于表面裂纹,裂纹形状对薄膜的拉伸性能的影响更为明显;随I型裂纹与应力夹角的增大,薄膜拉伸性能不断降低,当裂纹与外力垂直时,其抗力最低;薄膜预制裂纹受力扩展过程中伴随二次裂纹的产生,二次裂纹对裂纹扩展有一定的阻碍作用,同时碳纤维因改变裂纹的扩展方向而阻碍了裂纹的扩展。

Some basic aspects of polymer nanocomposites: A critical review

Polymer nanocomposites have been investigated for about three decades. To get deep insights into the modifying effects of various nanofillers on mechanical and physical properties of polymer nanocomposites, the three basic aspects of processing, characterization and properties are critically reviewed in this paper. Nanofillers can be classified into three major types of two-dimensional (2D) layered, one-dimensional (1D) fibrous and zerodimensional (0D) spherical ones and this review thus discusses in detail the processing, characterization and properties of the three types of polymer nanocomposites. It starts with an introduction of various nanoscale fillers such as two-dimensional (2D) nano-clay, graphene and MXene, one dimensional (1D) carbon nanofibers and nanotubes, zero dimensional (0D) silica nanoparticles and ZnO quantum dots as well as nanofiller-polymer interfaces. The processing of these polymer nanocomposites using different methods and the characterization of nanofillers and polymer nanocomposites using various techniques are described. Finally, the mechanical and physical properties of these polymer nanocomposites are discussed by considering the effects of nanofiller type, dispersion and contents;also, interface properties show significant effects on the mechanical properties of polymer nanocomposites and are discussed in some details.

Regulation of innate immune responses by rabies virus

Rabies virus(RABV)is an infectious and neurotropic pathogen that causes rabies and infects humans and almost all warm-blooded animals,posing a great threat to people and public safety.It is well known that innate immunity is the critical first line of host defense against viral infection.It monitors the invading pathogens by recognizing the pathogen-associated molecular patterns and danger-associated molecular patterns through pattern-recognition receptors,leading to the production of type I interferons(IFNα/β),inflammatory cytokines,and chemokines,or the activation of autophagy or apoptosis to inhibit virus replication.In the case of RABV,the innate immune response is usually triggered when the skin or muscle is bitten or scratched.However,RABV has evolved many ways to escape or even hijack innate immune response to complete its own replication and eventually invades the central nervous system(CNS).Once RABV reaches the CNS,it cannot be wiped out by the immune system or any drugs.Therefore,a better understanding of the interplay between RABV and innate immu-nity is necessary to develop effective strategies to combat its infection.Here,we review the innate immune responses induced by RABV and illustrate the antagonism mechanisms of RABV to provide new insights for the control of rabies.

Graphene film for thermal management:A review

Thermal conductivity and thermal dissipation are of great importance for modern electronics due to the increased transistor density and operation frequency of contemporary integrated circuits.Due to its exceptionally high thermal conductivity,graphene has drawn considerable interests worldwide for heat spreading and dissipation.However,maintaining high thermal conductivity in graphene laminates(the basic technological unit)is a significant technological challenge.Aiming at highly thermal conductive graphene films(GFs),this prospective review outlines the most recent progress in the production of GFs originated from graphene oxide due to its great convenience in film processing.Additionally,we also consider such issues as film assembly,defect repair and mechanical compression during the post-treatment.We also discuss the thermal conductivity in in-plane and through-plane direction and mechanical properties of GFs.Further,the current typical applications of GFs are presented in thermal management.Finally,perspectives are given for future work on GFs for thermal management.

Uncertainty-based life-cycle analysis of near-zero energy buildings for performance improvements

Near-zero energy buildings( nZEBs) are considered as an effective solution to mitigating CO_2 emissions and reducing the energy usage in the building sector. A proper sizing of the nZEB systems( e. g. HVAC systems,energy supply systems,energy storage systems, etc.) is essential for achieving the desired annual energy balance,thermal comfort,and grid independence. Two significant factors affecting the sizing of nZEB systems are the uncertainties confronted by the building usage condition and weather condition,and the degradation effects in nZEB system components. The former factor has been studied by many researchers; however,the impact of degradation is still neglected in most studies. Degradation is prevalent in energy components of nZEB and inevitably leads to the deterioration of nZEB life-cycle performance. As a result,neglecting the degradation effects may lead to a system design which can only achieve the desired performance at the beginning several years. This paper,therefore,proposes a life-cycle performance analysis( LCPA) method for investigating the impact of degradation on the longitudinal performance of the nZEBs. The method not only integrates the uncertainties in predicting building thermal load and weather condition,but also considers the degradation in the nZEB systems. Based on the proposed LCPA method,a two-stage method is proposed to improve the sizing of the nZEB systems.The study can improve the designers "understanding of the components"degradation impacts and the proposed method is effective in the life-cycle performance analysis and improvements of nZEBs. It is the first time that the impacts of degradation and uncertainties on nZEB LCP are analysed. Case studies showthat an nZEB might not fulfil its definition at all after some years due to component degradation,while the proposed two-stage design method can effectively alleviate this problem.

Progress in the Study of the Left Atrial Function Index in Cardiovascular Disease:A Literature Review

Some studies have shown that left ventricular structure and function play an important role in the risk stratifi cation and prognosis of cardiovascular disease.The clinical application of left atrial function in cardiovascular disease has gradually attracted attention in the cardiovascular fi eld.There are many traditional methods to evaluate left atrial function.Left atrial function related indexes measured by echocardiography has been identifi ed as a powerful predictor of cardiovascular disease in recent years,but they have some limitations.The left atrial function index has been found to evaluate left atrial function more effectively than traditional parameters.Furthermore,it is a valuable predictor of the risk stratifi cation and prognosis in patients with clinical cardiovascular disease such as heart failure,atrial fi brillation,hypertension,and coronary heart disease.

Co-effect of Mechanical Ball-milling and Microenvironmental Polarity on Morphology and Properties of Nanocellulose

Cellulose is a linear polymer consisting of D-anhydroglucose units joined by β-1,4-glycosidic linkages. The densely packed cellulose molecular chain forms crystalline cellulose through strong hydrogen bonding. Owing to its chemical tunability and excellent mechanical resistance, nanocellulose is widely used in everyday life and the industrial sector. In this work, cellulose materials were nanoprocessed by mechanical ball-milling(1) in polar solvents(N,N-dimethylformamide or dimethyl sulfoxide) with esterification or(2) in hydrophobic agents(polydimethylsiloxane or polytetrafluoroethylene) with different molecular weights. Cellulose nanofibers and nanosheets with different hydrophilic and hydrophobic properties were obtained, and the mechanism of cellulose disintegration along a crystallographic plane induced by mechanical force and the polarity condition were discussed. This work affords a new way to manipulate the morphology and properties of nanocellulose.

A Diffusion Equation for Gas Permeation though an Inorganic Porous Membrane in the Knudsen Regime

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An Adaptive Nonhydrostatic Atmospheric Dynamical Core Using a Multi-Moment Constrained Finite Volume Method

An adaptive 2 D nonhydrostatic dynamical core is proposed by using the multi-moment constrained finite-volume(MCV) scheme and the Berger-Oliger adaptive mesh refinement(AMR) algorithm. The MCV scheme takes several pointwise values within each computational cell as the predicted variables to build high-order schemes based on single-cell reconstruction. Two types of moments, such as the volume-integrated average(VIA) and point value(PV), are defined as constraint conditions to derive the updating formulations of the unknowns, and the constraint condition on VIA guarantees the rigorous conservation of the proposed model. In this study, the MCV scheme is implemented on a height-based, terrainfollowing grid with variable resolution to solve the nonhydrostatic governing equations of atmospheric dynamics. The AMR grid of Berger-Oliger consists of several groups of blocks with different resolutions, where the MCV model developed on a fixed structured mesh can be used directly. Numerical formulations are designed to implement the coarsefine interpolation and the flux correction for properly exchanging the solution information among different blocks. Widely used benchmark tests are carried out to evaluate the proposed model. The numerical experiments on uniform and AMR grids indicate that the adaptive model has promising potential for improving computational efficiency without losing accuracy.

Efficient Degradation of Cellulose in Its Homogeneously Aqueous Solution over 3D Metal-Organic Framework/Graphene Hydrogel Catalyst

Catalytic degradation of cellulose to chemicals is an attracting topic today for the conver- sion of biomass, and the development of novel catalysts is a key point. Since metal-organic frameworks （MOFs） possess uniform, continuous, and permeable channels, they are valu- able candidate as catalysts. Here, a new 3D MOF/graphene catalyst was prepared by in situ growth of the zeolitic imidazolate frameworks （ZIF-8） nanoparticles inside the pore of an as-formed 3D reduced graphene oxide （rGO） hydrogel. The ZIF-8/rGO nanocomposite owns both micropores and mesopores with large specific surface area and plenty of acids sites, which is an idea catalyst for biomass degradation. Cellulose was dissolved in allmline aqueous solution at first, and then it was degraded efficiently over the new catalyst under hydrothermal condition. The conversion reaches 100% while the main products are formic acid with a maximum yield of 93.66%. In addition, the catalyst can be reused with high activity.

A prompt-based approach to adversarial example generation and robustness enhancement

Recent years have seen the wide application of natural language processing(NLP)models in crucial areas such as finance,medical treatment,and news media,raising concerns about the model robustness and vulnerabilities.We find that prompt paradigm can probe special robust defects of pre-trained language models.Malicious prompt texts are first constructed for inputs and a pre-trained language model can generate adversarial examples for victim models via mask-filling.Experimental results show that prompt paradigm can efficiently generate more diverse adversarial examples besides synonym substitution.Then,we propose a novel robust training approach based on prompt paradigm which incorporates prompt texts as the alternatives to adversarial examples and enhances robustness under a lightweight minimax-style optimization framework.Experiments on three real-world tasks and two deep neural models show that our approach can significantly improve the robustness of models to resist adversarial attacks.

Motor symptom machine rating system for complete MDS-UPDRS III in Parkinson’s disease:A proof-of-concept pilot study

To the Editor:Parkinson’s disease(PD)is one of the most common neurodegenerative movement disorders.[1]The severity of PD-related motor symptoms is usually semiquantitatively(“normal”,“slight”,“mild”,“moderate”,and“severe”)evaluated by expert physicians according to the Movement Disorder Society-sponsored revision of the Unified Parkinson’s Disease Rating Scale Part III(MDS-UPDRS III).[2]However,the MDS-UPDRS III is semiquantitative and subjective,which might mask mild treatment effects or even provide false-positive results.

Contactless evaluation of rigidity in Parkinson’s disease by machine vision and machine learning

To the Editor:Parkinson’s disease(PD)is one of the most common neurodegenerative movement disorders.[1]Its cardinal symptoms include bradykinesia,tremor,and rigidity.[2]The severity of PD-related motor symptoms is usually semiquantitatively evaluated by the Movement Disorder Society-sponsored revision of the Unified Parkinson’s Disease Rating Scale(MDS-UPDRS)[3]part three(MDS-UPDRS III).A series of machine perception and machine learning technologies have been applied to assist the manual rating of motor symptoms.[4,5]Machine vision,which does not require physical contact between the examiner and the patient.

Correction:Links between COVID-19 and Parkinson’s disease/Alzheimer’s disease:reciprocal impacts,medical care strategies and underlying mechanisms

Correction to:Translational Neurodegeneration(2023)12:5 https://doi.org/10.1186/s40035-023-00337-1 Following publication of this article[1],three errors were identified about the reference.Correction 1:136.Crocker TF,Brown L,Lam N,Wray F,Knapp P,Forster A.Information provision for stroke survi-vors and their carers.Cochrane Database Syst Rev.2021;11:CD001919.136.Menni C,Valdes AM,Polidori L,Antonelli M,Penamakuri S,Nogal A,et al.Symptom prevalence,duration,and risk of hospital admission in individuals infected with SARS-CoV-2 during periods of omicron and delta variant dominance:a prospective observational study from the ZOE COVID study.Lancet.2022;399:1618-24.