摘要：Recently,in-situ polymerization inside living cells has attracted much attention due to the efficient cellular internalization and elevated drug ***,the lack of tracking of the in-situ polymerization process and the unclear effects of polymerization on cellular functions restrict its biomedical ***,we designed a Y-shaped diacetylene-containing lipidated peptide amphiphile(YDLPA1)with positive charges,which underwent in-situ polymerization initiated by reactive oxygen species in the intracellular *** comparison,zwitterionic YDLPA2 and negatively charged Y-DLPA3 were polymerized in aqueous solution,but cannot polymerize in the intracellular *** polymerized Y-DLPA1 with red fluorescence provides a platform to label cells for long-term tracking *** polymerization reaction induced tumor cell apoptosis,increased cell viscosity and decreased cell motility,which potentially inhibited tumor metastasis and served as a novel antitumor *** work provides a novel strategy to track in-situ polymerization process and modulate cell biofunctions.

摘要：This review offers an overview of the latest developments in metal-covalent organic framework(MCOF)and covalent metal-organic framework(CMOF)materials,whose construction entails a combination of reversible coordination and covalent bonding adapted from metal-organic frameworks(MOFs)and covalent organic frameworks(COFs),*** an emphasis on the MCOF and CMOF structures,this review surveys their building blocks and ***,the frameworks are classified based on the dimensions of their components(building blocks),namely,discrete building blocks and one-dimensional infinite building *** the first category,the materials are further divided into collections of two-and three-dimensional networks based on their *** the second category,the recently emerging MCOFs with woven structures are ***,the state-of-the-art in MCOF and CMOF chemistry has been laid out for promising avenues in future developments.

摘要：High-speed maglev trains will play an important role in the high-speed transportation system in the near ***,under the conditions of strong magnetic fields and continuous operation,the actuators of the high-speed maglev train suspension system are prone to lose partial effectiveness,which makes the suspension control problem *** addition,most existing fault-tolerant control(FTC)methods for suspension systems require linearization around the equilibrium points during the controller design or stability ***,from a practical perspective,this study presents a novel nonlinear FTC strategy with adaptive compensation for high-speed maglev train suspension ***,a nonlinear dynamic model of the suspension system based on join-structure is established and the actuator failures are ***,a nonlinear fault-tolerant suspension control law with an adaptive update law is designed to achieve stable suspension against partial actuator *** Lyapunov theory and extended Barbalat lemma are utilized to rigorously prove the closed-loop asymptotic stability even if there is partial actuator failure,without any approximation to the original nonlinear ***,hardware experimental results are included to demonstrate the effectiveness of the proposed approach.

摘要：Higher requirements for the accuracy of relevant models are put throughout the transformation and upgrade of the iron and steel sector to intelligent *** has been difficult to meet the needs of the field with the usual prediction model of mechanical properties of hotrolled *** data and difficult parameter adjustment limit deep learning models based on multi-layer networks in practical applications;besides,the limited discrete process parameters used make it impossible to effectively depict the actual strip processing *** order to solve these problems,this research proposed a new sampling approach for mechanical characteristics input data of hot-rolled strip based on the multi-grained cascade forest(gcForest)*** to the characteristics of complex process flow and abnormal sensitivity of process path and parameters to product quality in the hot-rolled strip production,a three-dimensional continuous time series process data sampling method based on time-temperature-deformation was *** basic information of strip steel(chemical composition and typical process parameters)is fused with the local process information collected by multi-grained scanning,so that the next link’s input has both local and global ***,in the multi-grained scanning structure,a sub sampling scheme with a variable window was designed,so that input data with different dimensions can get output characteristics of the same dimension after passing through the multi-grained scanning structure,allowing the cascade forest structure to be trained ***,actual production data of three steel grades was used to conduct the experimental *** results revealed that the gcForest-based mechanical property prediction model outperforms the competition in terms of comprehensive performance,ease of parameter adjustment,and ability to sustain high prediction accuracy with fewer samples.

摘要：Zero-dimensional metal halide perovskites have captured intense research interest owing to their unique optoelectronic ***,metal halides with the ns^(2) electronic configuration are of great interest owing to the high-temperature sensitivity of their photoluminescence,which could be applied to remote optical thermometry(ROT).Herein,all-inorganic and lead-free halide perovskite Te^(4+)-doped Cs_(2)InCl_(5)·H_(2)O single crystals(SCs)were prepared through the hydrothermal method and showed a strong temperature dependence of photoluminescence *** Te^(4+) doping,the nonemissive Cs_(2)InCl_(5)·H_(2)O SC exhibits a bright orange emission at 660 nm with a wide full width at half maximum of 180 *** strong phonon-exciton coupling promotes the formation of self-trapped excitons in the soft lattice of the zero-dimensional Te^(4+)-doped Cs_(2)InCl_(5)·H_(2)O *** Te^(4+) ions with the 5 s^(2) electronic configuration endow the Te^(4+)-doped Cs_(2)InCl_(5)·H_(2)O SC with a strong temperaturedependent photoluminescence *** SC reaches a maximum specific sensitivity of 0.062 K^(-1) at 320 K,thereby showing the potential advantages of indium-based metal halide perovskites in ROT applications.

摘要：In this work,we propose incorporating the finite cell method(FCM)into the absolute nodal coordinate formulation(ANCF)to improve the efficiency and robustness of ANCF elements in simulating structures with complex local *** addition,an adaptive subdomain integration method based on a triangulation technique is devised to avoid excessive subdivisions,largely reducing the computational *** examples demonstrate the effectiveness of the proposed method in large deformation,large rotation and dynamics simulation.

摘要：Inflatable space structures may undergo the vibration of a long duration because of their features of dynamic deployment,high flexibility,and low-frequency *** this paper,a topology optimization methodology is proposed to reduce the vibration of a spinning inflatable *** the first step,a variable-length shell element is developed in the framework of arbitrary Lagrange-Euler(ALE)and absolute nodal coordinate formulation(ANCF)to accurately model the deployment dynamics of the inflatable *** the help of two additional material coordinates,the shell element of ALE-ANCF has the ability to describe the large deformation,large overall motion,and variable length of an inflatable *** nonlinear elastic forces and additional inertial forces induced by the variable length are analytically *** the second step,a topology optimization procedure is presented for the dynamic response of an inflatable structure through the integration of the equivalent static loads(ESL)method and the density *** ESL sets of the variable-length inflatable structure are defined to simplify the dynamic topology optimization into a static one,while the density-based topology optimization method is used to describe the topology of the inflatable structure made of two materials and solve the static optimization *** order to obtain more robust optimization results,sensitivity analysis,density filter,and projection techniques are also ***,a benchmark example is presented to validate the ALE-ANCF modeling *** deployment dynamics and corresponding topology optimization of a spinning inflatable structure are studied to show the effectiveness of the proposed topology optimization methodology.

摘要：Extracellular vesicles(EVs)are lipid-bound vesicles secreted by cells into the extracellular *** are three types of EVs,including exosomes(30–150 nm)[1],microvesicles(100–1000 nm),and apoptotic bodies(50–4000 nm).EVs are also important intercellular communication carriers in many physiological and pathological processes such as immune response,tumor invasion,and metastasis[2,3].EVs circulate in various body fluids(e.g.,peripheral blood and urine),while carrying genetic information(e.g.,proteins and nucleic acids)from the parent cells[2,4,5].Thus,their source can be identified through gene analysis[6–10].

摘要：The activation of multisite high-entropy alloy(HEA)electrocatalysts is helpful for improving the atomic utilization of each metal in water electrolysis ***,well-dispersed HEA nanocrystals on Nrich graphene with abundant M–pyridinic N–C bonds were synthesized through an ultrasonic-assisted confinement synthesis *** Raman analysis and density functional theory calculations revealed that the electrocatalysts presented the optimal electronic rearrangement with fast ratedetermined H_(2)O dissociation kinetics and favorable H^(*)adsorption behavior that greatly enhanced hydrogen generation in alkaline electrolyte.A small overpotential of only 138.6 mV was required to obtain the current density of 100 mA cm^(-2) and the Tafel slope of as low as 33.0 mV dec^(-1),which was considerably smaller than the overpotentials of the counterpart with poor M–pyridinic N–C bonds(290.4 mV)and commercial Pt/C electrocatalysts(168.6 mV).The atomic structure,coordination environment,and electronic structure were *** work provides a new avenue toward activating HEA as advanced electrocatalysts and promotes the research on HEA for energy-related electrolysis.

摘要：Unveiling the active site of an electrocatalyst is fundamental for the development of efficient electrode *** the two-electron water oxidation to produce H_(2)O_(2),competitive reactions,including four-and one-electron water oxidation and surface reconstruction derived from the high-oxidative environment co-existed,leading to great challenges to identify the real active sites on the *** this work,Ti/TiO_(2)-based electrodes calcined under air,nitrogen,or urea atmospheres were selected as electrocatalysts for two-electron water *** analyses were applied to evaluate the catalytic activity and *** morphological and current change on the electrode surface were determined by scanning electrochemical microscopy,while the chemical and valence evolutions with depth distributions were tested by XPS combined with cluster argon ion *** results demonstrated that Ti/TiO_(2) nanotube arrays served as the support,while the functional groups of carbonyl groups and pyrrolic nitrogen derived from the co-pyrolysis with urea were the active sites for the H_(2)O_(2) *** finding provided a new horizon to design efficient catalysts for H_(2)O_(2) production.