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Progress in the research on organic piezoelectric catalysts for dye decomposition

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International Journal of Minerals,Metallurgy and Materials 2024年第2期31卷 245-260页

作者： Zhaoning Yang Xiaoxin Shu Di Guo Jing wang Hui bian Yanmin Jia School of Science Xi’an University of Posts and TelecommunicationsXi’an 710121China School of Physics and Information Technology Shaanxi Normal UniversityXi’an 710119China

Organic contaminants have posed a direct and substantial risk to human wellness and the environment.In recent years,piezo-electric catalysis has evolved as a novel and effective method for decomposing these contaminants.Although piezoelectric materials offer a wide range of options,most related studies thus far have focused on inorganic materials and have paid little attention to organic materi-als.Organic materials have advantages,such as being lightweight,inexpensive,and easy to process,over inorganic materials.Therefore,this paper provides a comprehensive review of the progress made in the research on piezoelectric catalysis using organic materials,high-lighting their catalytic efficiency in addressing various pollutants.In addition,the applications of organic materials in piezoelectric cata-lysis for water decomposition to produce hydrogen,disinfect bacteria,treat tumors,and reduce carbon dioxide are presented.Finally,fu-ture developmental trends regarding the piezoelectric catalytic potential of organic materials are explored.

关键词： piezoelectric catalysis piezoelectric material dye decomposition organic materials

Aggressive fluid management may be associated with disease progression in suspected sepsis patients admitted to the intensive care unit: a retrospective cohort study

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World Journal of Emergency Medicine 2024年第1期15卷 52-55页

作者： Miao bian Zhihao wang Yanling Chen Yue Sun Hongsen Ji Yutao wang Li Pang Department of Respiratory Qianwei Hospital of Jilin ProvinceChangchun 130012China Department of Geriatrics Jilin Provincial Geriatric Medicine Clinical Research Centerthe First Hospital of Jilin UniversityChangchun 130021China Department of Emergency the First Hospital of Jilin UniversityChangchun 130021China The First Operating Room the First Hospital of Jilin UniversityChangchun 130021China

Sepsis is a lethal condition characterized by multiple organ dysfunction due to disrupted host responses to severe infections.[1]Aff ected patients often have a Sequential Organ Failure Assessment(SOFA)score≥2.[2]Patients with a SOFA score<2 and at least one of the following were considered as“suspected sepsis”:(1)quick SOFA(qSOFA)score≥2;(2)SOFA score=1;or(3)National Early Warning Score(NEWS)4-6.[3]Compared with studies on fluid resuscitation in sepsis patients,there are few studies on fluid management in patients with suspected sepsis.Therefore,we conducted a retrospective cohort study to evaluate the relationship between fluid management and disease progression in suspected sepsis patients.

关键词： patients sepsis admitted

Electrostatically connected nanoarchitected electrocatalytic films for boosted water splitting

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Nano Research 2024年第3期17卷 1114-1122页

作者： Chao-Peng wang Hao Sun Gang bian Jia-Xi wang Xixi Pang Guoqi wang Jian Zhu Xian-He Bu School of Materials Science and Engineering National Institute for Advanced MaterialsNankai UniversityTianjin 300350China Tianjin Key Laboratory of Metal and Molecule-Based Material Chemistry Nankai UniversityTianjin 300350China Tianjin Key Laboratory for Rare Earth Materials and Applications Nankai UniversityTianjin 300350China

Active sites of two-dimensional(2D)electrocatalysts are often partially blocked owing to their inevitable stacking and hydrophobic polymeric binders in macroscale electrodes,therefore impeding their applications in efficient electrolyzers.Here,using layered double hydroxide(LDH)nanosheets as a model 2D electrocatalyst,we demonstrate that their performance toward water splitting can be boosted when they are electrostatically assembled into an organized structure pillared by hydrophilic polyelectrolytes or nanoparticles in a layer-by-layer(LbL)fashion.In particular,their mass activity on a planar electrode can be as large as 2.267 mA·μg^(-1) toward oxygen evolution reaction(OER),when NiFe-LDH nanosheets are electrostatically connected by poly(sodium 4-styrenesulfonate)(PSS),while drop-casted NiFe-LDH nanosheets only have a mass activity of 0.116 mA·μg^(-1).In addition,these homogeneous NiFe-LDH nanofilms can be easily deposited on three-dimensional(3D)surfaces with high areas,such as carbon cloths,to serve as practical electrodes with overpotentials of 328 mV at a current density of 100 mA·cm^(-2),and stability for 40 h.Furthermore,Pt nanoparticles can be LbL assembled with NiFe-LDH as bifunctional electrodes for synergistically boosted oxygen and hydrogen evolution reactions(HER),leading to successful overall water splitting powered by a 1.5 V battery.This study heralds the spatial control of 2D nanomaterials in nanoscale precision as an efficient strategy for the design of advanced electrocatalysts.

关键词： layer-by-layer(LbL)assembly layered double hydroxides(LDH) two-dimensional(2D)electrocatalysts oxygen evolution reaction(OER) water splitting

A Simple yet Effective Framework for Active Learning to Rank

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Machine Intelligence Research 2024年第1期21卷 169-183页

作者： Qingzhong wang Haifang Li Haoyi Xiong Wen wang Jiang bian Yu Lu Shuaiqiang wang Zhicong Cheng Dejing Dou Dawei Yin Baidu Incorporated Beijing 100085China

While China has become the largest online market in the world with approximately 1 billion internet users,Baidu runs the world's largest Chinese search engine serving more than hundreds of millions of daily active users and responding to billions of queries per day.To handle the diverse query requests from users at the web-scale,Baidu has made tremendous efforts in understanding users'queries,retrieving relevant content from a pool of trillions of webpages,and ranking the most relevant webpages on the top of the res-ults.Among the components used in Baidu search,learning to rank(LTR)plays a critical role and we need to timely label an extremely large number of queries together with relevant webpages to train and update the online LTR models.To reduce the costs and time con-sumption of query/webpage labelling,we study the problem of active learning to rank(active LTR)that selects unlabeled queries for an-notation and training in this work.Specifically,we first investigate the criterion-Ranking entropy(RE)characterizing the entropy of relevant webpages under a query produced by a sequence of online LTR models updated by different checkpoints,using a query-by-com-mittee(QBC)method.Then,we explore a new criterion namely prediction variances(PV)that measures the variance of prediction res-ults for all relevant webpages under a query.Our empirical studies find that RE may favor low-frequency queries from the pool for la-belling while PV prioritizes high-frequency queries more.Finally,we combine these two complementary criteria as the sample selection strategies for active learning.Extensive experiments with comparisons to baseline algorithms show that the proposed approach could train LTR models to achieve higher discounted cumulative gain(i.e.,the relative improvement DCG4=1.38%)with the same budgeted labellingefforts.

关键词： Search information retrieval learning to rank active learning query by committee

A method for establishing a bearing residual life prediction model for process enhancement equipment based on rotor imbalance response analysis

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Chinese Journal of Chemical Engineering 2024年第2期66卷 203-215页

作者： Feng wang Haoran Li Zhenghui Zhang Yan Bai Hong Yin Jing bian National Foundation Research Laboratory of Fault Prevention and Control in Hazardous Chemicals Production System Engineering Research Center of Chemical Technology SafetyBeijing University of Chemical TechnologyBeijing 100029China China Nuclear Power Engineering Co. LtdBeijing 100840China CNOOC Tianjin Chemical Research and Design Institute Co. LtdTianjin Key Laboratory of Energy and Chemical Explosion SafetyAcademician Expert Collaborative Innovation CenterTianjin 300131China

A rotating packed bed is a typical chemical process enhancement equipment that can strengthen micromixing and mass transfer.During the operation of the rotating packed bed,the nonreactants and products irregularly adhere to the wire mesh packing in the rotor,thus resulting in an imbalance in the vibration of the rotor,which may cause serious damage to the bearing and material leakage.This study proposes a model prediction for estimating the bearing residual life of a rotating packed bed based on rotor imbalance response analysis.This method is used to determine the influence of the mass on the imbalance in the vibration of the rotor on bearing damage.The major influence on rotor vibration was found to be exerted by the imbalanced mass and its distribution radius,as revealed by the results of orthogonal experiments.Through implementing finite element analysis,the imbalance response curve for the rotating packed bed rotor was obtained,and a correlation among rotor imbalance mass,distribution radius of imbalance mass,and bearing residue life was established via data fitting.The predicted value of the bearing life can be used as the reference basis for an early safety warning of a rotating packed bed to effectively avoid accidents.

关键词： Rotating packed bed Mass imbalance Harmonic response analysis Residual life Prediction model

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Glutamate oxidase-integrated biomimetic Fe3O4 hybrids as cascade nanozymes for glutamate detection

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Particuology 2024年第5期88卷 192-200页

作者： Peikun Li Yanchao wang Xiuyan Luo Zixin Geng Jiahui Jia Ruirui wang Jiandong Cui Hongjie bian Shiru Jia State Key Laboratory of Food Nutrition and Safety Laboratory of Industrial Fermentation MicrobiologyMinistry of EducationTianjin University of Science and TechnologyTianjin300457China Sports Department Hebei University of Science and TechnologyShijiazhang050000China Research Center for Fermentation Engineering of Hebei College of Bioscience and BioengineeringHebei University of Science and TechnologyShijiazhang050000China

Herein,a new nanozyme/natural enzyme hybrid biosensor was established for ultrasensitive l-glutamic acid(L-Glu)detection.The Fe3 O4 nanoparticles with peroxidase-like activity and stability was used as a nanozyme and carrier for immobilizing l-Glutamate oxidase(GLOD)through Schiffff base reaction to construct a chem-enzyme cascade detector.The resultant Fe3 O4-GOLD exhibited a wide linear range(10−500μM)and a low detection limit of 6.03μM for L-Glu detection.Furthermore,the Fe3 O4-GOLD exhibited excellent pH stability,thermal stability,reusability and storage stability.After repeated nine cycles,Fe3 O4-GOLD still retained 70%of its initial activity.Meanwhile,Fe3 O4-GOLD maintained 50%of its initial activity after storage for 20 days,while free GLOD only retained 20%of its initial activity.This strategy of integrating biomimetic Fe 3 O4 and natural enzymes for cascade catalysis makes it possible to design an efficient and stable chemo-enzyme composite catalysts,which are promising for applications in biosensing and biomimetic catalysis.

关键词： Fe3O4 nanozyme GLOD Chemo-enzymes Glutamate detection

Advances in memristor based artificial neuron fabrication-materials,models,and applications

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International Journal of Extreme Manufacturing 2024年第1期6卷 27-50页

作者： Jingyao bian Zhiyong Liu Ye Tao Zhongqiang wang Xiaoning Zhao Ya Lin Haiyang Xu Yichun Liu Key Laboratory for UV Light-Emitting Materials and Technology(Northeast Normal University) Ministry of Education5268 Renmin StreetChangchunPeople’s Republic of China

Spiking neural network(SNN),widely known as the third-generation neural network,has been frequently investigated due to its excellent spatiotemporal information processing capability,high biological plausibility,and low energy consumption characteristics.Analogous to the working mechanism of human brain,the SNN system transmits information through the spiking action of neurons.Therefore,artificial neurons are critical building blocks for constructing SNN in hardware.Memristors are drawing growing attention due to low consumption,high speed,and nonlinearity characteristics,which are recently introduced to mimic the functions of biological neurons.Researchers have proposed multifarious memristive materials including organic materials,inorganic materials,or even two-dimensional materials.Taking advantage of the unique electrical behavior of these materials,several neuron models are successfully implemented,such as Hodgkin–Huxley model,leaky integrate-and-fire model and integrate-and-fire model.In this review,the recent reports of artificial neurons based on memristive devices are discussed.In addition,we highlight the models and applications through combining artificial neuronal devices with sensors or other electronic devices.Finally,the future challenges and outlooks of memristor-based artificial neurons are discussed,and the development of hardware implementation of brain-like intelligence system based on SNN is also prospected.

关键词： artificial neuron memristor memristive materials neuron model micro-nano manufacturing spiking neural network

Electronic structure regulation and built-in electric field synergistically strengthen photocatalytic nitrogen fixation performance on Ti-BiOBr/TiO_(2)heterostructure

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Rare Metals 2024年第3期43卷 1125-1138页

作者： Ru-Qi Li Yu-Jie bian Chun-Ming Yang Li Guo Tao-Xia Ma Chuan-Tao wang Feng Fu Dan-Jun wang College of Chemistry and Chemical Engineering Yan’an UniversityYan’an Key Laboratory of Green Catalysis and Quality Improvement and Utilization of Low Rank CoalYan’an716000China

At present,industrial synthetic ammonia was still obtained through the Hubble-Bosch process,with large energy consumption.It is a research hotspot to realize green synthetic ammonia by using solar energy.The difficulty of photocatalytic ammonia synthesis was that the photo-excited electrons have not enough energy to active N≡N.In this study,Ti was doped into BiOBr by one-step hydrothermal method,which was oxidized into TiO_(2)when the doping amount reaches the maximum,in situ forming Ti_(0.31)B_(0.69)OB/TiO_(2)composites.Benefiting from the synergistic effect of Ti doping and S-scheme heterojunction,the synthetic ammonia efficiency of Ti_(0.31)B_(0.69)OB/TiO_(2)-11.96 reached 1.643 mmol·g_(cat)^(-1)at mild conditions and without hole scavenger for up to 7 h,the efficiency of synthetic ammonia is 115 times,10.5 times and 3.3 times of that of BiOBr,Ti_(0.31)B_(0.69)OB and TiO_(2),respectively.Specifically,DFT calculation confirms that Ti doping accurately refine the electronic structure of BiOBr,facilitate nitrogen adsorption activation and reduce hydrogenation reaction energy barrier,thus accelerating the reaction kinetics of photocatalytic nitrogen reduction(NRR),Meanwhile,constructing S-scheme heterojunction boosts the separation and transfer of photogenerated electron-hole pairs,improving the reduction ability of electrons in the conduction band of TiO_(2)and the oxidation ability of holes in the valence band of Ti_(0.31)B_(0.69)OB.

关键词： S-scheme heterostructure Electronic structure regulation Built-in electric field Synergistical stren4gthening Photocatalytic nitrogen fixation

Long-wave instabilities

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Science China Mathematics 2024年第8期67卷 1761-1776页

作者： Dongfen bian Emmanuel Grenier School of Mathematics and Statistics Beijing Institute of Technology Unité de Mathématiques Pures et Appliquées CNRS UMR 5669école Normale Supérieure de Lyon

This paper aims to give a detailed presentation of long-wave instabilities of shear layers for NavierStokes equations, and in particular to give a simple and easy-to-read presentation of the study of the OrrSommerfeld equation and to detail the analysis of its adjoint. Using these analyses, we prove the existence of long-wave instabilities in the cases of slowly rotating fuids, slightly compressible fuids, or fuids with Navier boundary conditions, under smallness conditions.

关键词： Navier-Stokes equations boundary layers Prandtl equations