Soil improvement is one of the most important issues in geotechnical engineering practice.The wide application of traditional improvement techniques(cement/chemical materials)are limited due to damage ecological en-vi...Soil improvement is one of the most important issues in geotechnical engineering practice.The wide application of traditional improvement techniques(cement/chemical materials)are limited due to damage ecological en-vironment and intensify carbon emissions.However,the use of microbially induced calcium carbonate pre-cipitation(MICP)to obtain bio-cement is a novel technique with the potential to induce soil stability,providing a low-carbon,environment-friendly,and sustainable integrated solution for some geotechnical engineering pro-blems in the environment.This paper presents a comprehensive review of the latest progress in soil improvement based on the MICP strategy.It systematically summarizes and overviews the mineralization mechanism,influ-encing factors,improved methods,engineering characteristics,and current field application status of the MICP.Additionally,it also explores the limitations and correspondingly proposes prospective applications via the MICP approach for soil improvement.This review indicates that the utilization of different environmental calcium-based wastes in MICP and combination of materials and MICP are conducive to meeting engineering and market demand.Furthermore,we recommend and encourage global collaborative study and practice with a view to commercializing MICP technique in the future.The current review purports to provide insights for engineers and interdisciplinary researchers,and guidance for future engineering applications.展开更多
Liquid metals(LMs),because of their ability to remain in a liquid state at room temperature,render them highly versatile for applications in electronics,energy storage,medicine,and robotics.Among various LMs,Ga-based ...Liquid metals(LMs),because of their ability to remain in a liquid state at room temperature,render them highly versatile for applications in electronics,energy storage,medicine,and robotics.Among various LMs,Ga-based LMs exhibit minimal cytotoxicity,low viscosity,high thermal and electrical conductivities,and excellent wettability.Therefore,Ga-based LM composites(LMCs)have emerged as a recent research focus.Recent advancements have focused on novel fabrication techniques and applications spanning energy storage,flexible electronics,and biomedical devices.Particularly noteworthy are the developments in wearable sensors and electronic skins,which hold promise for healthcare monitoring and human-machine interfaces.Despite their potential,challenges,such as oxidative susceptibil-ity and biocompatibility,remain.Creating bio-based LMC materials is a promising approach to address these issues while exploring new avenues to optimize LMC performance and broaden its application domains.This review provides a concise overview of the recent trends in LMC research,highlights their transformative impacts,and outlines key directions for future investigation and development.展开更多
Carbon nanotubes(CNTs)have many excellent properties that make them ideally suited for use in lithium-ion batteries(LIBs).In this review,the recent research on applications of CNTs in LIBs,including their usage as fre...Carbon nanotubes(CNTs)have many excellent properties that make them ideally suited for use in lithium-ion batteries(LIBs).In this review,the recent research on applications of CNTs in LIBs,including their usage as freestanding anodes,conductive additives,and current collectors,are discussed.Challenges,strategies,and progress are analyzed by selecting typical examples.Particularly,when CNTs are used with relatively large mass fractions,the relevant interfacial electrochemistry in such a CNT-based electrode,which dictates the quality of the resulting solid-electrolyte interface,becomes a concern.Hence,in this review the different lithium-ion adsorption and insertion mechanisms inside and outside of CNTs are compared;the influence of not only CNT structural features(including their length,defect density,diameter,and wall thickness)but also the electrolyte composition on the solid-electrolyte interfacial reactions is analyzed in detail.Strategies to optimize the solid-solid interface between CNTs and the other solid components in various composite electrodes are also covered.By emphasizing the importance of such a structure-performance relationship,the merits and weaknesses of various applications of CNTs in various advanced LIBs are clarified.展开更多
The Monte Carlo(MC)method offers significant advantages in handling complex geometries and physical processes in particle transport problems and has become a widely used approach in reactor physics analysis,radiation ...The Monte Carlo(MC)method offers significant advantages in handling complex geometries and physical processes in particle transport problems and has become a widely used approach in reactor physics analysis,radiation shielding design,and medical physics.However,with the rapid advancement of new nuclear energy systems,the Monte Carlo method faces challenges in efficiency,accuracy,and adaptability,limiting its effectiveness in meeting modern design requirements.Overcoming technical obstacles related to high-fidelity coupling,high-resolution computation,and intelligent design is essential for using the Monte Carlo method as a reliable tool in numerical analysis for these new nuclear energy systems.To address these challenges,the Nuclear Energy and Application Laboratory(NEAL)team at the University of South China developed a multifunctional and generalized intelligent code platform called MagicMC,based on the Monte Carlo particle transport method.MagicMC is a developing tool dedicated to nuclear applications,incorporating intelligent methodologies.It consists of two primary components:a basic unit and a functional unit.The basic unit,which functions similarly to a standard Monte Carlo particle transport code,includes seven modules:geometry,source,transport,database,tally,output,and auxiliary.The functional unit builds on the basic unit by adding functional modules to address complex and diverse applications in nuclear analysis.MagicMC introduces a dynamic Monte Carlo particle transport algorithm to address time-space particle transport problems within emerging nuclear energy systems and incorporates a CPU-GPU heterogeneous parallel framework to enable high-efficiency,high-resolution simulations for large-scale computational problems.Anticipating future trends in intelligent design,MagicMC integrates several advanced features,including CAD-based geometry modeling,global variance reduction methods,multi-objective shielding optimization,high-resolution activation analysis,multi-physics coupling,and radiation therapy.In this paper,various numerical benchmarks-spanning reactor transient simulations,material activation analysis,radiation shielding optimization,and medical dosimetry analysis-are presented to validate MagicMC.The numerical results demonstrate MagicMC's efficiency,accuracy,and reliability in these preliminary applications,underscoring its potential to support technological advancements in developing high-fidelity,high-resolution,and high-intelligence MC-based tools for advanced nuclear applications.展开更多
In this review,we propose a comprehensive overview of additive manufacturing(AM)technologies and design possibilities in manufacturing metamaterials for various applications in the biomedical field,of which many are i...In this review,we propose a comprehensive overview of additive manufacturing(AM)technologies and design possibilities in manufacturing metamaterials for various applications in the biomedical field,of which many are inspired by nature itself.It describes how new AM technologies(e.g.continuous liquid interface production and multiphoton polymerization,etc)and recent developments in more mature AM technologies(e.g.powder bed fusion,stereolithography,and extrusion-based bioprinting(EBB),etc)lead to more precise,efficient,and personalized biomedical components.EBB is a revolutionary topic creating intricate models with remarkable mechanical compatibility of metamaterials,for instance,stress elimination for tissue engineering and regenerative medicine,negative or zero Poisson’s ratio.By exploiting the designs of porous structures(e.g.truss,triply periodic minimal surface,plant/animal-inspired,and functionally graded lattices,etc),AM-made bioactive bone implants,artificial tissues,and organs are made for tissue replacement.The material palette of the AM metamaterials has high diversity nowadays,ranging from alloys and metals(e.g.cobalt-chromium alloys and titanium,etc)to polymers(e.g.biodegradable polycaprolactone and polymethyl methacrylate,etc),which could be even integrated within bioactive ceramics.These advancements are driving the progress of the biomedical field,improving human health and quality of life.展开更多
Calcium ferrite(CF)is recognized as a potential green and efficient functional material because of its advantages of magnetism,electrochemistry,catalysis,and biocompatibility in the fields of materials chemistry,envir...Calcium ferrite(CF)is recognized as a potential green and efficient functional material because of its advantages of magnetism,electrochemistry,catalysis,and biocompatibility in the fields of materials chemistry,environmental engineering,and biomedicine.There-fore,the obtained research results need to be systematically summarized,and new perspectives on CF and its composite materials need to be analyzed.Based on the presented studies of CF and its composite materials,the types and structures of the crystal are summarized.In addition,the current application technologies and theoretical mechanisms with various properties in different fields are elucidated.Moreover,the various preparation methods of CF and its composite materials are elaborated in detail.Most importantly,the advantages and disadvantages of the synthesis methods of CF and its composite materials are discussed,and the existing problems and emerging challenges in practical production are identified.Furthermore,the key future research directions of CF and its composite materials have been prospected from the potential application technologies to provide references for its synthesis and efficient utilization.展开更多
Due to advantages of high power-conversion efficiency(PCE), large power-to-weight ratio(PWR), low cost and solution processibility, flexible perovskite solar cells(f-PSCs) have attracted extensive attention in recent ...Due to advantages of high power-conversion efficiency(PCE), large power-to-weight ratio(PWR), low cost and solution processibility, flexible perovskite solar cells(f-PSCs) have attracted extensive attention in recent years. The PCE of f-PSCs has developed rapidly to over 25%, showing great application prospects in aerospace and wearable electronic devices. This review systematically sorts device structures and compositions of f-PSCs, summarizes various methods to improve its efficiency and stability recent years. In addition, the applications and potentials of f-PSCs in space vehicle and aircraft was discussed. At last, we prospect the key scientific and technological issues that need to be addressed for f-PSCs at current stage.展开更多
Brain-computer interfaces(BCIs)represent an emerging technology that facilitates direct communication between the brain and external devices.In recent years,numerous review articles have explored various aspects of BC...Brain-computer interfaces(BCIs)represent an emerging technology that facilitates direct communication between the brain and external devices.In recent years,numerous review articles have explored various aspects of BCIs,including their fundamental principles,technical advancements,and applications in specific domains.However,these reviews often focus on signal processing,hardware development,or limited applications such as motor rehabilitation or communication.This paper aims to offer a comprehensive review of recent electroencephalogram(EEG)-based BCI applications in the medical field across 8 critical areas,encompassing rehabilitation,daily communication,epilepsy,cerebral resuscitation,sleep,neurodegenerative diseases,anesthesiology,and emotion recognition.Moreover,the current challenges and future trends of BCIs were also discussed,including personal privacy and ethical concerns,network security vulnerabilities,safety issues,and biocompatibility.展开更多
Transcutaneous electrical acupoint stimulation(TEAS)is a kind of physical therapy that use electric cur-rent through the electrodes placed on the surface of acupoints to produce clinical effects in the human body,whic...Transcutaneous electrical acupoint stimulation(TEAS)is a kind of physical therapy that use electric cur-rent through the electrodes placed on the surface of acupoints to produce clinical effects in the human body,which is characterized by less adverse reaction and convenient operation.It has been widely used in the treatment of various diseases.This review introduces six major clinical applications of TEAS,named analgesia,regulation of gastrointestinal function,improvement of reproductive function,enhancement of cognitive function,promotion of limb function recovery and relief of fatigue.Besides,TEAS has been ap-plied to the treatment of other chronic diseases such as hypertension and diabetes,achieving satisfactory clinical effects.However,two crucial challenges are encountered in the development of TEAS.One is the lack of standardization in the selection of parameters such as waveform,frequency,intensity and stimula-tion duration.The other is the limitation on the flexibility in the acupoint selection.This review analyzes key issues that need to be addressed in the current clinical application of TEAS,such as the selection of parameters and acupoints,and this review provides a certain reference value for optimizing regimens of TEAS and promoting its development and application.展开更多
BACKGROUND Microvascular invasion(MVI)is an important prognostic factor in hepatocellular carcinoma(HCC),but its preoperative prediction remains challenging.AIM To develop and validate a 2.5-dimensional(2.5D)deep lear...BACKGROUND Microvascular invasion(MVI)is an important prognostic factor in hepatocellular carcinoma(HCC),but its preoperative prediction remains challenging.AIM To develop and validate a 2.5-dimensional(2.5D)deep learning-based multiinstance learning(MIL)model(MIL signature)for predicting MVI in HCC,evaluate and compare its performance against the radiomics signature and clinical signature,and assess its prognostic predictive value in both surgical resection and transcatheter arterial chemoembolization(TACE)cohorts.METHODS A retrospective cohort consisting of 192 patients with pathologically confirmed HCC was included,of whom 68 were MVI-positive and 124 were MVI-negative.The patients were randomly assigned to a training set(134 patients)and a validation set(58 patients)in a 7:3 ratio.An additional 45 HCC patients undergoing TACE treatment were included in the TACE validation cohort.A modeling strategy based on computed tomography arterial phase images was implemented,utilizing 2.5D deep learning in combination with a MIL framework for the prediction of MVI in HCC.Moreover,this method was compared with the radiomics signature and clinical signatures,and the predictive performance of the various models was evaluated using receiver operating characteristic curves and decision curve analysis(DCA),with DeLong’s test applied to compare the area under the curve(AUC)between models.Kaplan-Meier curves were utilized to analyze differences in recurrence-free survival(RFS)or progression-free survival(PFS)among different HCC treatment cohorts stratified by MIL signature risk.RESULTS MIL signature demonstrated superior performance in the validation set(AUC=0.877),significantly surpassing the radiomics signature(AUC=0.727,P=0.047)and clinical signature(AUC=0.631,P=0.004).DCA curves indicated that the MIL signature provided a greater clinical net benefit across the full spectrum of risk thresholds.In the prognostic analysis,high-and low-risk groups stratified by the MIL signature exhibited significant differences in RFS within the surgical resection cohort(training set P=0.0058,validation set P=0.031)and PFS within the TACE treatment cohort(P=0.045).CONCLUSION MIL signature demonstrates more accurate MVI prediction in HCC,surpassing radiomics signature and clinical signature,and offers precise prognostic stratification,thereby providing new technical support for personalized HCC treatment strategies.展开更多
With the rapid development of intelligent video surveillance technology,pedestrian re-identification has become increasingly important inmulti-camera surveillance systems.This technology plays a critical role in enhan...With the rapid development of intelligent video surveillance technology,pedestrian re-identification has become increasingly important inmulti-camera surveillance systems.This technology plays a critical role in enhancing public safety.However,traditional methods typically process images and text separately,applying upstream models directly to downstream tasks.This approach significantly increases the complexity ofmodel training and computational costs.Furthermore,the common class imbalance in existing training datasets limitsmodel performance improvement.To address these challenges,we propose an innovative framework named Person Re-ID Network Based on Visual Prompt Technology andMulti-Instance Negative Pooling(VPM-Net).First,we incorporate the Contrastive Language-Image Pre-training(CLIP)pre-trained model to accurately map visual and textual features into a unified embedding space,effectively mitigating inconsistencies in data distribution and the training process.To enhancemodel adaptability and generalization,we introduce an efficient and task-specific Visual Prompt Tuning(VPT)technique,which improves the model’s relevance to specific tasks.Additionally,we design two key modules:the Knowledge-Aware Network(KAN)and theMulti-Instance Negative Pooling(MINP)module.The KAN module significantly enhances the model’s understanding of complex scenarios through deep contextual semantic modeling.MINP module handles samples,effectively improving the model’s ability to distinguish fine-grained features.The experimental outcomes across diverse datasets underscore the remarkable performance of VPM-Net.These results vividly demonstrate the unique advantages and robust reliability of VPM-Net in fine-grained retrieval tasks.展开更多
Diamond combines many unique properties,including high stability,strong optical dispersion,excellent mechanical strength,and outstanding thermal conductivity.Its structure,surface groups,and electrical conductivity ar...Diamond combines many unique properties,including high stability,strong optical dispersion,excellent mechanical strength,and outstanding thermal conductivity.Its structure,surface groups,and electrical conductivity are also tunable,increasing its functional versatility.These make diamond and its related materials,such as its composites,highly promising for various applications in energy fields.This review summarizes recent advances and key achievements in energy storage and conversion,covering electrochemical energy storage(e.g.,batteries and supercapacitors),electrocatalytic energy conversion(e.g.,CO_(2)and nitrogen reduction reactions),and solar energy conversion(e.g.,photo-(electro)chemical CO_(2)and nitrogen reduction reactions,and solar cells).Current challenges and prospects related to the synthesis of diamond materials and the technologies for their energy applications are outlined and discussed.展开更多
Magnesium and its related materials have potential applications in the automotive sector for weight reduction,in energy storage technologies such as batteries and hydrogen storage,and in biomedical field due to their ...Magnesium and its related materials have potential applications in the automotive sector for weight reduction,in energy storage technologies such as batteries and hydrogen storage,and in biomedical field due to their biodegradability.In comparison,the researches on the latter ones are currently receiving more and more interests.This paper explores recent research advancements in Mg-based materials in these fields especially within recent 4 years in Germany.展开更多
Alloying strategies have proven effective in enhancing the properties of metallic materials.However,conventional alloying strategies face significant limitations in preparing nanoscale multi-alloys and continuous opti...Alloying strategies have proven effective in enhancing the properties of metallic materials.However,conventional alloying strategies face significant limitations in preparing nanoscale multi-alloys and continuous optimizing surface-active sites.High-entropy alloys(HEAs)display a broader spectrum of unique properties due to their complex electron distribution and atomic-level heterogeneity arising from the stochastic mixing of multiple elements,which provides a diverse array of binding sites and almost continuous distribution of binding energies.This review aims to summarize recent research advancements in synthesis strategies and multi-field applications of nanoscale HEAs.It emphasizes several commonly employed synthesis strategies and significant challenges in synthesizing nanoscale HEAs.Finally,we present a comprehensive analysis of the advantages of HEAs for multi-field applications,emphasizing significant application trends related to nanosizing and multidimensionalization to develop more efficient nanoscale HEAs.展开更多
The intricate interactions between immune cells and tumors exert a profound influence on cancer progression and therapeutic efficacy.Within the tumor microenvironment,exosomes have emerged as pivotal mediators of inte...The intricate interactions between immune cells and tumors exert a profound influence on cancer progression and therapeutic efficacy.Within the tumor microenvironment,exosomes have emerged as pivotal mediators of intercellular communication,with their cargo of non-coding RNAs(ncRNAs)serving as key regulatory elements.This review examines the multifaceted roles of immune cell-derived exosomal ncRNAs in tumor biology.The involvement of various immune cells,including T cells,B cells,natural killer cells,macrophages,neutrophils,and myeloid-derived suppressor cells,in utilizing exosomal ncRNAs to regulate tumor initiation and progression is explored.Additionally,the biogenesis and delivery mechanisms of these immune cell-derived exosomal ncRNAs are discussed,alongside their potential clinical applications in cancer.展开更多
Photocatalytic hydrogen peroxide(H_(2)O_(2))production has been considered as a promising strategy for H_(2)O_(2)synthesis due to its environmentally friendly.Among various photocatalysts,carbon nitride-based material...Photocatalytic hydrogen peroxide(H_(2)O_(2))production has been considered as a promising strategy for H_(2)O_(2)synthesis due to its environmentally friendly.Among various photocatalysts,carbon nitride-based materials are excellent candidates for H_(2)O_(2)production because of their excellent visible-light response,low cost and high stability.In this review,we summarize in detail the research progress on the photocatalytic production of H_(2)O_(2)by carbon nitride.First,we summarize the basic principles of photocatalysis and photocatalytic H_(2)O_(2)production.Second,the classification and modification methods of carbonnitride-based materials are discussed,including morphology modulation,noble metal loading,defect control,heterojunction regulation,molecular structure engineering and elemental doping.Finally,the different in-situ applications of H_(2)O_(2)via photosynthesis were discussed,including disinfection and antibiotic resistant genes degradation,organic pollutants degradation,medical applications and fine chemical synthesis.This review brings great promise for in-situ H_(2)O_(2)photosynthesis,which is expected to serve as a key component in future applications.展开更多
Today,energy is essential for every aspect of human life,including clothing,food,housing and transportation.However,traditional energy resources are insufficient to meet our modern needs.Self-powered sensing devices e...Today,energy is essential for every aspect of human life,including clothing,food,housing and transportation.However,traditional energy resources are insufficient to meet our modern needs.Self-powered sensing devices emerge as promising alternatives,offering sustained operation without relying on external power sources.Leveraging advancements in materials and manufacturing research,these devices can autonomously harvest energy from various sources.In this review,we focus on the current landscape of self-powered wearable sensors,providing a concise overview of energy harvesting technologies,conversion mechanisms,structural or material innovations,and energy storage platforms.Then,we present experimental advances in different energy sources,showing their underlying mechanisms,and the potential for energy acquisition.Furthermore,we discuss the applications of self-powered flexible sensors in diverse fields such as medicine,sports,and food.Despite significant progress in this field,widespread commercialization will necessitate enhanced sensor detection abilities,improved design factors for adaptable devices,and a balance between sensitivity and standardization.展开更多
When drones first emerged,most people didn’t know what to do with them,said Professor Zhang Yueming at Beijing University of Technology.“Over time,however,we identified their potential applications.The situation is ...When drones first emerged,most people didn’t know what to do with them,said Professor Zhang Yueming at Beijing University of Technology.“Over time,however,we identified their potential applications.The situation is the same for embodied intelligent robots.”When embodied intelligent robots leave the laboratory,where will they go?展开更多
This Special Topic of the Journal of Semiconductors(JOS)features expanded versions of key articles presented at the 2024 IEEE International Conference on Integrated Circuits Technologies and Applications(ICTA),which w...This Special Topic of the Journal of Semiconductors(JOS)features expanded versions of key articles presented at the 2024 IEEE International Conference on Integrated Circuits Technologies and Applications(ICTA),which was held in Hangzhou,Zhejiang,China,from October 25 to 27,2024.展开更多
Flexible photodetectors have garnered significant attention by virtue of their potential applications in environmental monitoring,wearable healthcare,imaging sensing,and portable optical communications.Perovskites sta...Flexible photodetectors have garnered significant attention by virtue of their potential applications in environmental monitoring,wearable healthcare,imaging sensing,and portable optical communications.Perovskites stand out as particularly promising materials for photodetectors,offering exceptional optoelectronic properties,tunable band gaps,low-temperature solution processing,and notable mechanical flexibility.In this review,we explore the latest progress in flexible perovskite photodetectors,emphasizing the strategies developed for photoactive materials and device structures to enhance optoelectronic performance and stability.Additionally,we discuss typical applications of these devices and offer insights into future directions and potential applications.展开更多
基金funded by the National Natural Science Foundation of China(No.41962016)the Natural Science Foundation of NingXia(Nos.2023AAC02023,2023A1218,and 2021AAC02006).
文摘Soil improvement is one of the most important issues in geotechnical engineering practice.The wide application of traditional improvement techniques(cement/chemical materials)are limited due to damage ecological en-vironment and intensify carbon emissions.However,the use of microbially induced calcium carbonate pre-cipitation(MICP)to obtain bio-cement is a novel technique with the potential to induce soil stability,providing a low-carbon,environment-friendly,and sustainable integrated solution for some geotechnical engineering pro-blems in the environment.This paper presents a comprehensive review of the latest progress in soil improvement based on the MICP strategy.It systematically summarizes and overviews the mineralization mechanism,influ-encing factors,improved methods,engineering characteristics,and current field application status of the MICP.Additionally,it also explores the limitations and correspondingly proposes prospective applications via the MICP approach for soil improvement.This review indicates that the utilization of different environmental calcium-based wastes in MICP and combination of materials and MICP are conducive to meeting engineering and market demand.Furthermore,we recommend and encourage global collaborative study and practice with a view to commercializing MICP technique in the future.The current review purports to provide insights for engineers and interdisciplinary researchers,and guidance for future engineering applications.
基金supported by the GRDC(Global Research Development Center)Cooperative Hub Program through the National Research Foundation of Korea(NRF),funded by the Ministry of Science and ICT(MSIT)(No.RS-2023-00257595).
文摘Liquid metals(LMs),because of their ability to remain in a liquid state at room temperature,render them highly versatile for applications in electronics,energy storage,medicine,and robotics.Among various LMs,Ga-based LMs exhibit minimal cytotoxicity,low viscosity,high thermal and electrical conductivities,and excellent wettability.Therefore,Ga-based LM composites(LMCs)have emerged as a recent research focus.Recent advancements have focused on novel fabrication techniques and applications spanning energy storage,flexible electronics,and biomedical devices.Particularly noteworthy are the developments in wearable sensors and electronic skins,which hold promise for healthcare monitoring and human-machine interfaces.Despite their potential,challenges,such as oxidative susceptibil-ity and biocompatibility,remain.Creating bio-based LMC materials is a promising approach to address these issues while exploring new avenues to optimize LMC performance and broaden its application domains.This review provides a concise overview of the recent trends in LMC research,highlights their transformative impacts,and outlines key directions for future investigation and development.
基金Xiamen Science and Technology Project,Grant/Award Number:3502Z20231057National Key Research and Development Program of China,Grant/Award Number:3502Z20231057National Natural Science Foundation of China,Grant/Award Numbers:22279107,22288102。
文摘Carbon nanotubes(CNTs)have many excellent properties that make them ideally suited for use in lithium-ion batteries(LIBs).In this review,the recent research on applications of CNTs in LIBs,including their usage as freestanding anodes,conductive additives,and current collectors,are discussed.Challenges,strategies,and progress are analyzed by selecting typical examples.Particularly,when CNTs are used with relatively large mass fractions,the relevant interfacial electrochemistry in such a CNT-based electrode,which dictates the quality of the resulting solid-electrolyte interface,becomes a concern.Hence,in this review the different lithium-ion adsorption and insertion mechanisms inside and outside of CNTs are compared;the influence of not only CNT structural features(including their length,defect density,diameter,and wall thickness)but also the electrolyte composition on the solid-electrolyte interfacial reactions is analyzed in detail.Strategies to optimize the solid-solid interface between CNTs and the other solid components in various composite electrodes are also covered.By emphasizing the importance of such a structure-performance relationship,the merits and weaknesses of various applications of CNTs in various advanced LIBs are clarified.
基金supported by the National Natural Science Foundation of China(Nos.12475174 and U2267207)YueLuShan Center Industrial Innovation(No.2024YCII0108)+2 种基金Natural Science Foundation of Hunan Province(No.2022JJ40345)Science and Technology Innovation Project of Hengyang(No.202250045336)the Project of State Key Laboratory of Radiation Medicine and Protection,Soochow University(No.GZK12023031)。
文摘The Monte Carlo(MC)method offers significant advantages in handling complex geometries and physical processes in particle transport problems and has become a widely used approach in reactor physics analysis,radiation shielding design,and medical physics.However,with the rapid advancement of new nuclear energy systems,the Monte Carlo method faces challenges in efficiency,accuracy,and adaptability,limiting its effectiveness in meeting modern design requirements.Overcoming technical obstacles related to high-fidelity coupling,high-resolution computation,and intelligent design is essential for using the Monte Carlo method as a reliable tool in numerical analysis for these new nuclear energy systems.To address these challenges,the Nuclear Energy and Application Laboratory(NEAL)team at the University of South China developed a multifunctional and generalized intelligent code platform called MagicMC,based on the Monte Carlo particle transport method.MagicMC is a developing tool dedicated to nuclear applications,incorporating intelligent methodologies.It consists of two primary components:a basic unit and a functional unit.The basic unit,which functions similarly to a standard Monte Carlo particle transport code,includes seven modules:geometry,source,transport,database,tally,output,and auxiliary.The functional unit builds on the basic unit by adding functional modules to address complex and diverse applications in nuclear analysis.MagicMC introduces a dynamic Monte Carlo particle transport algorithm to address time-space particle transport problems within emerging nuclear energy systems and incorporates a CPU-GPU heterogeneous parallel framework to enable high-efficiency,high-resolution simulations for large-scale computational problems.Anticipating future trends in intelligent design,MagicMC integrates several advanced features,including CAD-based geometry modeling,global variance reduction methods,multi-objective shielding optimization,high-resolution activation analysis,multi-physics coupling,and radiation therapy.In this paper,various numerical benchmarks-spanning reactor transient simulations,material activation analysis,radiation shielding optimization,and medical dosimetry analysis-are presented to validate MagicMC.The numerical results demonstrate MagicMC's efficiency,accuracy,and reliability in these preliminary applications,underscoring its potential to support technological advancements in developing high-fidelity,high-resolution,and high-intelligence MC-based tools for advanced nuclear applications.
基金sponsored by the Science and Technology Program of Hubei Province,China(2022EHB020,2023BBB096)support provided by Centre of the Excellence in Production Research(XPRES)at KTH。
文摘In this review,we propose a comprehensive overview of additive manufacturing(AM)technologies and design possibilities in manufacturing metamaterials for various applications in the biomedical field,of which many are inspired by nature itself.It describes how new AM technologies(e.g.continuous liquid interface production and multiphoton polymerization,etc)and recent developments in more mature AM technologies(e.g.powder bed fusion,stereolithography,and extrusion-based bioprinting(EBB),etc)lead to more precise,efficient,and personalized biomedical components.EBB is a revolutionary topic creating intricate models with remarkable mechanical compatibility of metamaterials,for instance,stress elimination for tissue engineering and regenerative medicine,negative or zero Poisson’s ratio.By exploiting the designs of porous structures(e.g.truss,triply periodic minimal surface,plant/animal-inspired,and functionally graded lattices,etc),AM-made bioactive bone implants,artificial tissues,and organs are made for tissue replacement.The material palette of the AM metamaterials has high diversity nowadays,ranging from alloys and metals(e.g.cobalt-chromium alloys and titanium,etc)to polymers(e.g.biodegradable polycaprolactone and polymethyl methacrylate,etc),which could be even integrated within bioactive ceramics.These advancements are driving the progress of the biomedical field,improving human health and quality of life.
基金supported by the National Natural Science Foundation of China(No.51574105)the Science and Technology Program of Hebei Province,China(No.23564101D)+2 种基金the Natural Science Foundation of Hebei Province,China(No.E2021209147)the Key Research Project of North China University of Science and Technology(No.ZD-ST-202308)the Postgraduate Innovation Funding Project of Hebei Province,China(No.CXZZBS2024135).
文摘Calcium ferrite(CF)is recognized as a potential green and efficient functional material because of its advantages of magnetism,electrochemistry,catalysis,and biocompatibility in the fields of materials chemistry,environmental engineering,and biomedicine.There-fore,the obtained research results need to be systematically summarized,and new perspectives on CF and its composite materials need to be analyzed.Based on the presented studies of CF and its composite materials,the types and structures of the crystal are summarized.In addition,the current application technologies and theoretical mechanisms with various properties in different fields are elucidated.Moreover,the various preparation methods of CF and its composite materials are elaborated in detail.Most importantly,the advantages and disadvantages of the synthesis methods of CF and its composite materials are discussed,and the existing problems and emerging challenges in practical production are identified.Furthermore,the key future research directions of CF and its composite materials have been prospected from the potential application technologies to provide references for its synthesis and efficient utilization.
基金supported by National Natural Science Foundation of China (Grant Nos. 62204104, 42005138, 12274190, 12274189, 62275115)Shandong Province High Education Youth Innovation Team Program (Grant No. 2023KJ210)Science and Technology Program of Yantai (Grant No. 2023JCYJ047)。
文摘Due to advantages of high power-conversion efficiency(PCE), large power-to-weight ratio(PWR), low cost and solution processibility, flexible perovskite solar cells(f-PSCs) have attracted extensive attention in recent years. The PCE of f-PSCs has developed rapidly to over 25%, showing great application prospects in aerospace and wearable electronic devices. This review systematically sorts device structures and compositions of f-PSCs, summarizes various methods to improve its efficiency and stability recent years. In addition, the applications and potentials of f-PSCs in space vehicle and aircraft was discussed. At last, we prospect the key scientific and technological issues that need to be addressed for f-PSCs at current stage.
基金supported by the National Key R&D Program of China(2021YFF1200602)the National Science Fund for Excellent Overseas Scholars(0401260011)+3 种基金the National Defense Science and Technology Innovation Fund of Chinese Academy of Sciences(c02022088)the Tianjin Science and Technology Program(20JCZDJC00810)the National Natural Science Foundation of China(82202798)the Shanghai Sailing Program(22YF1404200).
文摘Brain-computer interfaces(BCIs)represent an emerging technology that facilitates direct communication between the brain and external devices.In recent years,numerous review articles have explored various aspects of BCIs,including their fundamental principles,technical advancements,and applications in specific domains.However,these reviews often focus on signal processing,hardware development,or limited applications such as motor rehabilitation or communication.This paper aims to offer a comprehensive review of recent electroencephalogram(EEG)-based BCI applications in the medical field across 8 critical areas,encompassing rehabilitation,daily communication,epilepsy,cerebral resuscitation,sleep,neurodegenerative diseases,anesthesiology,and emotion recognition.Moreover,the current challenges and future trends of BCIs were also discussed,including personal privacy and ethical concerns,network security vulnerabilities,safety issues,and biocompatibility.
基金Supported by Shanghai 2020“Science and Technology Innovation Action Plan”Medical Innovation Research Special Program:20Y21902800Shanghai Municipal Health Commission Shanghai Three-Year Action Plan to Further Accelerate the Development of Traditional Chinese Medicine Inheritance and Innovation:ZY(2021-2023)−0302)+1 种基金Shanghai Key Specialty(Acupuncture)Construction Project:shslczdzk04701Shanghai 2024"Science and Technology Innovation Action Plan"star cultivation(Sail special):24YF2740600.
文摘Transcutaneous electrical acupoint stimulation(TEAS)is a kind of physical therapy that use electric cur-rent through the electrodes placed on the surface of acupoints to produce clinical effects in the human body,which is characterized by less adverse reaction and convenient operation.It has been widely used in the treatment of various diseases.This review introduces six major clinical applications of TEAS,named analgesia,regulation of gastrointestinal function,improvement of reproductive function,enhancement of cognitive function,promotion of limb function recovery and relief of fatigue.Besides,TEAS has been ap-plied to the treatment of other chronic diseases such as hypertension and diabetes,achieving satisfactory clinical effects.However,two crucial challenges are encountered in the development of TEAS.One is the lack of standardization in the selection of parameters such as waveform,frequency,intensity and stimula-tion duration.The other is the limitation on the flexibility in the acupoint selection.This review analyzes key issues that need to be addressed in the current clinical application of TEAS,such as the selection of parameters and acupoints,and this review provides a certain reference value for optimizing regimens of TEAS and promoting its development and application.
基金Supported by the National Natural Science Foundation of China,No.81560278The“Summit Plan(New Departure)”Project for the Development of Doctoral Degree Authorization Points and Professional Disciplines at the Affiliated Hospital of Youjiang Medical University for Nationalities,No.DF20244433+1 种基金Self-funded Research Project by the Guangxi Health and Wellness Committee,No.ZL20240824 and No.Z-L20240834The Project to Enhance the Research Foundations of Young and Mid-career Faculty in Guangxi Universities,No.2024KY0562 and No.2024KY0559。
文摘BACKGROUND Microvascular invasion(MVI)is an important prognostic factor in hepatocellular carcinoma(HCC),but its preoperative prediction remains challenging.AIM To develop and validate a 2.5-dimensional(2.5D)deep learning-based multiinstance learning(MIL)model(MIL signature)for predicting MVI in HCC,evaluate and compare its performance against the radiomics signature and clinical signature,and assess its prognostic predictive value in both surgical resection and transcatheter arterial chemoembolization(TACE)cohorts.METHODS A retrospective cohort consisting of 192 patients with pathologically confirmed HCC was included,of whom 68 were MVI-positive and 124 were MVI-negative.The patients were randomly assigned to a training set(134 patients)and a validation set(58 patients)in a 7:3 ratio.An additional 45 HCC patients undergoing TACE treatment were included in the TACE validation cohort.A modeling strategy based on computed tomography arterial phase images was implemented,utilizing 2.5D deep learning in combination with a MIL framework for the prediction of MVI in HCC.Moreover,this method was compared with the radiomics signature and clinical signatures,and the predictive performance of the various models was evaluated using receiver operating characteristic curves and decision curve analysis(DCA),with DeLong’s test applied to compare the area under the curve(AUC)between models.Kaplan-Meier curves were utilized to analyze differences in recurrence-free survival(RFS)or progression-free survival(PFS)among different HCC treatment cohorts stratified by MIL signature risk.RESULTS MIL signature demonstrated superior performance in the validation set(AUC=0.877),significantly surpassing the radiomics signature(AUC=0.727,P=0.047)and clinical signature(AUC=0.631,P=0.004).DCA curves indicated that the MIL signature provided a greater clinical net benefit across the full spectrum of risk thresholds.In the prognostic analysis,high-and low-risk groups stratified by the MIL signature exhibited significant differences in RFS within the surgical resection cohort(training set P=0.0058,validation set P=0.031)and PFS within the TACE treatment cohort(P=0.045).CONCLUSION MIL signature demonstrates more accurate MVI prediction in HCC,surpassing radiomics signature and clinical signature,and offers precise prognostic stratification,thereby providing new technical support for personalized HCC treatment strategies.
基金funded by the Key Research and Development Program of Hubei Province,China(Grant No.2023BEB024)the Young and Middle-aged Scientific and Technological Innova-tion Team Plan in Higher Education Institutions inHubei Province,China(GrantNo.T2023007)the key projects ofHubei Provincial Department of Education(No.D20161403).
文摘With the rapid development of intelligent video surveillance technology,pedestrian re-identification has become increasingly important inmulti-camera surveillance systems.This technology plays a critical role in enhancing public safety.However,traditional methods typically process images and text separately,applying upstream models directly to downstream tasks.This approach significantly increases the complexity ofmodel training and computational costs.Furthermore,the common class imbalance in existing training datasets limitsmodel performance improvement.To address these challenges,we propose an innovative framework named Person Re-ID Network Based on Visual Prompt Technology andMulti-Instance Negative Pooling(VPM-Net).First,we incorporate the Contrastive Language-Image Pre-training(CLIP)pre-trained model to accurately map visual and textual features into a unified embedding space,effectively mitigating inconsistencies in data distribution and the training process.To enhancemodel adaptability and generalization,we introduce an efficient and task-specific Visual Prompt Tuning(VPT)technique,which improves the model’s relevance to specific tasks.Additionally,we design two key modules:the Knowledge-Aware Network(KAN)and theMulti-Instance Negative Pooling(MINP)module.The KAN module significantly enhances the model’s understanding of complex scenarios through deep contextual semantic modeling.MINP module handles samples,effectively improving the model’s ability to distinguish fine-grained features.The experimental outcomes across diverse datasets underscore the remarkable performance of VPM-Net.These results vividly demonstrate the unique advantages and robust reliability of VPM-Net in fine-grained retrieval tasks.
基金西南大学中央高校基本科研业务费项目(SWU-KT22030)重庆市教育委员会科学技术研究项目(KJQN202300205)Deutsche Forschungsgemeinschaft(DFG,German Research Foundation,457444676).
文摘Diamond combines many unique properties,including high stability,strong optical dispersion,excellent mechanical strength,and outstanding thermal conductivity.Its structure,surface groups,and electrical conductivity are also tunable,increasing its functional versatility.These make diamond and its related materials,such as its composites,highly promising for various applications in energy fields.This review summarizes recent advances and key achievements in energy storage and conversion,covering electrochemical energy storage(e.g.,batteries and supercapacitors),electrocatalytic energy conversion(e.g.,CO_(2)and nitrogen reduction reactions),and solar energy conversion(e.g.,photo-(electro)chemical CO_(2)and nitrogen reduction reactions,and solar cells).Current challenges and prospects related to the synthesis of diamond materials and the technologies for their energy applications are outlined and discussed.
文摘Magnesium and its related materials have potential applications in the automotive sector for weight reduction,in energy storage technologies such as batteries and hydrogen storage,and in biomedical field due to their biodegradability.In comparison,the researches on the latter ones are currently receiving more and more interests.This paper explores recent research advancements in Mg-based materials in these fields especially within recent 4 years in Germany.
基金supported by the National Natural Science Foundation of China(No.52273110(GGB)and 52372271(STL))the National Ten Thousand Talent Program of China(GGB)the Youth Top Talent Project of Hubei Provence of China(GGB).
文摘Alloying strategies have proven effective in enhancing the properties of metallic materials.However,conventional alloying strategies face significant limitations in preparing nanoscale multi-alloys and continuous optimizing surface-active sites.High-entropy alloys(HEAs)display a broader spectrum of unique properties due to their complex electron distribution and atomic-level heterogeneity arising from the stochastic mixing of multiple elements,which provides a diverse array of binding sites and almost continuous distribution of binding energies.This review aims to summarize recent research advancements in synthesis strategies and multi-field applications of nanoscale HEAs.It emphasizes several commonly employed synthesis strategies and significant challenges in synthesizing nanoscale HEAs.Finally,we present a comprehensive analysis of the advantages of HEAs for multi-field applications,emphasizing significant application trends related to nanosizing and multidimensionalization to develop more efficient nanoscale HEAs.
基金supported by the National Natural Science Foundation of China(No.82203056)the Natural Science Foundation of Liaoning Province(No.2023-BS-167)+1 种基金the Science and Technology Talent Innovation Support Plan of Dalian(NO.2022RQ091)the“1+X”program for Clinical Competency enhancement-Clinical Research Incubation Project of the Second Hospital of Dalian Medical University(No.2022LCYJYB01)。
文摘The intricate interactions between immune cells and tumors exert a profound influence on cancer progression and therapeutic efficacy.Within the tumor microenvironment,exosomes have emerged as pivotal mediators of intercellular communication,with their cargo of non-coding RNAs(ncRNAs)serving as key regulatory elements.This review examines the multifaceted roles of immune cell-derived exosomal ncRNAs in tumor biology.The involvement of various immune cells,including T cells,B cells,natural killer cells,macrophages,neutrophils,and myeloid-derived suppressor cells,in utilizing exosomal ncRNAs to regulate tumor initiation and progression is explored.Additionally,the biogenesis and delivery mechanisms of these immune cell-derived exosomal ncRNAs are discussed,alongside their potential clinical applications in cancer.
基金supported by the National Key Research and Development Program of China(No.2023YFC3705901)。
文摘Photocatalytic hydrogen peroxide(H_(2)O_(2))production has been considered as a promising strategy for H_(2)O_(2)synthesis due to its environmentally friendly.Among various photocatalysts,carbon nitride-based materials are excellent candidates for H_(2)O_(2)production because of their excellent visible-light response,low cost and high stability.In this review,we summarize in detail the research progress on the photocatalytic production of H_(2)O_(2)by carbon nitride.First,we summarize the basic principles of photocatalysis and photocatalytic H_(2)O_(2)production.Second,the classification and modification methods of carbonnitride-based materials are discussed,including morphology modulation,noble metal loading,defect control,heterojunction regulation,molecular structure engineering and elemental doping.Finally,the different in-situ applications of H_(2)O_(2)via photosynthesis were discussed,including disinfection and antibiotic resistant genes degradation,organic pollutants degradation,medical applications and fine chemical synthesis.This review brings great promise for in-situ H_(2)O_(2)photosynthesis,which is expected to serve as a key component in future applications.
基金supported by the Shanghai Collaborative Innovation Centre for Tumour Energy Therapy Technology and Equipment。
文摘Today,energy is essential for every aspect of human life,including clothing,food,housing and transportation.However,traditional energy resources are insufficient to meet our modern needs.Self-powered sensing devices emerge as promising alternatives,offering sustained operation without relying on external power sources.Leveraging advancements in materials and manufacturing research,these devices can autonomously harvest energy from various sources.In this review,we focus on the current landscape of self-powered wearable sensors,providing a concise overview of energy harvesting technologies,conversion mechanisms,structural or material innovations,and energy storage platforms.Then,we present experimental advances in different energy sources,showing their underlying mechanisms,and the potential for energy acquisition.Furthermore,we discuss the applications of self-powered flexible sensors in diverse fields such as medicine,sports,and food.Despite significant progress in this field,widespread commercialization will necessitate enhanced sensor detection abilities,improved design factors for adaptable devices,and a balance between sensitivity and standardization.
文摘When drones first emerged,most people didn’t know what to do with them,said Professor Zhang Yueming at Beijing University of Technology.“Over time,however,we identified their potential applications.The situation is the same for embodied intelligent robots.”When embodied intelligent robots leave the laboratory,where will they go?
文摘This Special Topic of the Journal of Semiconductors(JOS)features expanded versions of key articles presented at the 2024 IEEE International Conference on Integrated Circuits Technologies and Applications(ICTA),which was held in Hangzhou,Zhejiang,China,from October 25 to 27,2024.
基金supported by the grants from the National Key Research and Development Program of China 2023YFC2505900support from State Key Laboratory of Photovoltaic Science and Technology 202401030303.
文摘Flexible photodetectors have garnered significant attention by virtue of their potential applications in environmental monitoring,wearable healthcare,imaging sensing,and portable optical communications.Perovskites stand out as particularly promising materials for photodetectors,offering exceptional optoelectronic properties,tunable band gaps,low-temperature solution processing,and notable mechanical flexibility.In this review,we explore the latest progress in flexible perovskite photodetectors,emphasizing the strategies developed for photoactive materials and device structures to enhance optoelectronic performance and stability.Additionally,we discuss typical applications of these devices and offer insights into future directions and potential applications.
