Transition metals have garnered significant attention for their roles in addressing energy shortages and environmental water pollution.Their multivalent states and unique electron transfer properties facilitate charge...Transition metals have garnered significant attention for their roles in addressing energy shortages and environmental water pollution.Their multivalent states and unique electron transfer properties facilitate charge transfer in the conversion reaction,expedite energy conversion,and achieve low-energy water treatment.This review comprehensively explores the fundamental mechanisms and practical applications of transition metals in water treatment,including adsorption,photocatalysis,electrocatalysis,photoelectrocatalysis,and other technologies.The feasibility of water treatment using transition metal-based materials is demonstrated through theoretical studies on typical transition metals employed in these water treatment technologies while emphasizing the potential for optimizing material performance through strategies like structural design,defect engineering,crystal engineering,composite materials,surface modification,and atomic catalysts.In addition,the utilization of transition metal-based materials in practical wastewater treatment is comprehensively reviewed.Finally,the challenges and perspectives of transition metal-based materials in practical wastewater treatment are outlined,providing a theoretical foundation and guidance for future research and engineering advancements.展开更多
The application of digital technology in prosthodontics not only improves the accuracy of restoration and the efficiency of diagnosis and treatment,but also brings more comfortable and convenient diagnosis and treatme...The application of digital technology in prosthodontics not only improves the accuracy of restoration and the efficiency of diagnosis and treatment,but also brings more comfortable and convenient diagnosis and treatment experience to patients.It effectively promotes the rapid development of the prosthodontic aesthetics industry and leads prosthodontic technology to gradually enter a new digital era.Combining the advantages of digital technology in prosthodontics,this paper focuses on the specific applications of digital impression technology,CAD/CAM technology,network-based integrated cloud service technology,and CBCT technology in prosthodontics.On this basis,it prospects the development trend of digital technology in the field of prosthodontics,aiming to provide solid theoretical and practical support for clinical practice of prosthodontics and promote the gradual integration of the prosthodontic industry with the digital era.展开更多
It has been over a decade since the first coded aperture video compressive sensing(CS)system was reported.The underlying principle of this technology is to employ a high-frequency modulator in the optical path to modu...It has been over a decade since the first coded aperture video compressive sensing(CS)system was reported.The underlying principle of this technology is to employ a high-frequency modulator in the optical path to modulate a recorded high-speed scene within one integration time.The superimposed image captured in this manner is modulated and compressed,since multiple modulation patterns are imposed.Following this,reconstruction algorithms are utilized to recover the desired high-speed scene.One leading advantage of video CS is that a single captured measurement can be used to reconstruct a multi-frame video,thereby enabling a low-speed camera to capture high-speed scenes.Inspired by this,a number of variants of video CS systems have been built,mainly using different modulation devices.Meanwhile,in order to obtain high-quality reconstruction videos,many algorithms have been developed,from optimization-based iterative algorithms to deep-learning-based ones.Recently,emerging deep learning methods have been dominant due to their high-speed inference and high-quality reconstruction,highlighting the possibility of deploying video CS in practical applications.Toward this end,this paper reviews the progress that has been achieved in video CS during the past decade.We further analyze the efforts that need to be made—in terms of both hardware and algorithms—to enable real applications.Research gaps are put forward and future directions are summarized to help researchers and engineers working on this topic.展开更多
Using the“Civil Aviation Oral English”course as a case study,we operationalize the ideological and political education(IPE)integrated evaluation system for oral English courses in higher vocational education,which i...Using the“Civil Aviation Oral English”course as a case study,we operationalize the ideological and political education(IPE)integrated evaluation system for oral English courses in higher vocational education,which is based on Kirkpatrick’s Model,into a tripartite teaching evaluation system.The system encompasses three components such as learning objective attainment,individual developmental progress,and value-added competency assessment.The proposed system facilitates three-dimensional,multi-level,and scientifically validated teaching evaluation.This approach aligns with the holistic development of students’knowledge structures,professional competencies,moral qualities,and emotional intelligence.The study provides novel methodological perspectives for IPE evaluation in vocational oral English instruction,particularly in:curriculum-based ideological mapping,competency growth metrics,and value internalization assessment.展开更多
This paper systematically studies the current practical application status,existing problems and optimization suggestions of 3D printing technology in spacecraft manufacturing.Research shows that this technology has b...This paper systematically studies the current practical application status,existing problems and optimization suggestions of 3D printing technology in spacecraft manufacturing.Research shows that this technology has been successfully applied to the manufacturing of key components such as rocket engines and satellite structures,demonstrating advantages like lightweight and rapid prototyping.However,it still faces core challenges such as material performance,process stability,adaptability to space environments,and industrialization costs.In response to these issues,this paper proposes three optimization suggestions:enhancing manufacturing reliability by developing aerospace-specific materials,optimizing process parameters,and establishing a quality traceability system.Surface modification technology and topological optimization design are adopted to enhance the adaptability to the spatial environment,and a space-ground integrated verification method is constructed.Reduce industrialization costs through the localization of materials,modular production,and the construction of a standardized system.Research has confirmed that implementing these measures can reduce the performance dispersion of 3D-printed aerospace components by more than 50%,increase their in-orbit lifespan by three times,and lower production costs by 30-40%.The research results of this paper provide a systematic technical route and industrialization solution for the large-scale application of 3D printing technology in the aerospace field,which has significant reference value for promoting the innovation of aerospace manufacturing models.展开更多
With the rapid development of the intelligent manufacturing industry,the demand for technical talents in industrial robot technology has become increasingly urgent.Focusing on the application value of virtual simulati...With the rapid development of the intelligent manufacturing industry,the demand for technical talents in industrial robot technology has become increasingly urgent.Focusing on the application value of virtual simulation technology in the practical teaching of industrial robot major and combining with the national vocational education reform policies,this paper explores the innovative role of virtual simulation technology in the practical teaching model from four dimensions:teaching cost optimization,safety improvement,scenario expansion,and evaluation innovation.The research shows that virtual simulation technology can effectively solve the“three highs and three difficulties”problems in traditional practical teaching,promote the in-depth development of the integration of industry and education,and provide strong support for cultivating high-quality technical and skilled talent in the field of industrial robots.展开更多
In response to the three major contradictions,safety,cognition,and ability cultivation,existing in the practical teaching of geological hazard courses,this paper proposes a“virtual-real integration”teaching reform s...In response to the three major contradictions,safety,cognition,and ability cultivation,existing in the practical teaching of geological hazard courses,this paper proposes a“virtual-real integration”teaching reform scheme,using earthquake disasters as an example.By integrating digital twin technology and artificial intelligence technology,a four-layer teaching framework consisting of data layer,model layer,platform layer,and intelligent layer is constructed.Progressive teaching segments of“cognition-simulation-decision-making”are designed to establish a comprehensive training path from seismic geological survey to disaster early warning and decision-making.This scheme shifts the traditional field practice venue to a safe virtual environment,promotes students’understanding of geological hazards from static fragments to dynamic processes,enhances their comprehensive decision-making ability in geological disaster prevention and mitigation,and provides theoretical support and practical guidance for cultivating interdisciplinary talents in geological hazard prevention.展开更多
Objective:To enhance the reading skills of clinical pathology residents,it is essential to establish a well-structured electronic pathology reading library.Methods:In accordance with the Resident Standardization Train...Objective:To enhance the reading skills of clinical pathology residents,it is essential to establish a well-structured electronic pathology reading library.Methods:In accordance with the Resident Standardization Training Content and Standards(2022 Edition),clinical pathology residents are required to master pathological diagnoses across 11 systems:skin,head and neck,mediastinum and respiratory,digestive,urinary and male reproductive,female reproductive and breast,lymphatic and hematopoietic,bone and soft tissue,cardiovascular,central nervous,and endocrine diseases.Senior pathologists specializing in each subspecialty selected classic pathological slides,which were systematically scanned and compiled into an electronic pathology library.Results:A questionnaire survey was conducted to gather feedback on the electronic pathology reading library.Residents generally found it to be convenient,efficient,and conducive to learning.Conclusion:Training in clinical pathology diagnosis is a core component of standardized resident training.The electronic pathology reading library has been well-received and recognized by resident doctors.However,further efforts are needed to explore diverse teaching methods that align with modern educational approaches,ultimately contributing to the development of highly skilled resident doctors.展开更多
Key areas such as marine resource exploration,real-time monitoring of ecological environments,and national defense security systems urgently require reliable underwater information transmission capabilities as a found...Key areas such as marine resource exploration,real-time monitoring of ecological environments,and national defense security systems urgently require reliable underwater information transmission capabilities as a foundation.Underwater acoustic communication(UAC),leveraging its unique advantages as the most effective method for long-range data transfer in aquatic environments,has become an indispensable enabling technology for supporting these core applications.This review systematically examines recent advancements in UAC technology and their critical role in enabling modern marine initiatives.The analysis covers key developments in both non-coherent and coherent communication systems,including single-carrier and multi-carrier modulation schemes such as OFDM.It highlights their respective advantages in terms of robustness and high-data-rate transmission.The significant impact of challenging underwater channel characteristics,notably severe multipath fading,time-varying Doppler shifts,limited bandwidth,and environmental noise,is discussed alongside corresponding mitigation strategies.Furthermore,the integration of machine learning for sophisticated channel estimation,adaptive equalization,and intelligent system optimization is explored as a promising frontier.Emerging technologies like spread-spectrum,full-duplex,and covert UAC are also evaluated for their potential in specialized and high-stakes applications.The paper concludes by identifying persistent challenges,including regulatory constraints,physical-layer security issues,interoperability across platforms,and energy efficiency demands.Finally,it outlines future research directions aimed at developing more intelligent,secure,and efficient next-generation underwater networks.展开更多
Environmental DNA(eDNA)technology has revolutionized biodiversity monitoring with its non-invasive,sensitive,and cost-efficient approach.This paper systematically reviews eDNA advancements,examining its applications i...Environmental DNA(eDNA)technology has revolutionized biodiversity monitoring with its non-invasive,sensitive,and cost-efficient approach.This paper systematically reviews eDNA advancements,examining its applications in aquatic and terrestrial ecosystems and assessing China’s standardization progress.It delineates four developmental phases from single-species detection to high-throughput sequencing,and highlights China’s contribution to the development of technical standards.While significant progress has been made,challenges persist in quantitative accuracy,methodological consistency,and large-scale implementation.Future efforts should prioritize enhanced standardization,improved quantification techniques,broader applications,and international collaboration to drive innovation in eDNA technology.展开更多
Biomass is a resourcewhose organic carbon is formed from atmospheric carbon dioxide.It has numerous characteristics such as low carbon emissions,renewability,and environmental friendliness.The efficient utilization of...Biomass is a resourcewhose organic carbon is formed from atmospheric carbon dioxide.It has numerous characteristics such as low carbon emissions,renewability,and environmental friendliness.The efficient utilization of biomass plays a significant role in promoting the development of clean energy,alleviating environmental pressures,and achieving carbon neutrality goals.Among the numerous processing technologies of biomass,hydrothermal carbonization(HTC)is a promising thermochemical process that can decompose and convert biomass into hydrochar under relatively mild conditions of approximately 180℃–300℃,thereby enabling its efficient resource utilization.In addition,HTC can directly process feedstocks with high moisture content without the need for high-temperature drying,resulting in lower energy consumption.Based on a systematic analysis of the critical articles mainly published in 2011-2025 related to biomass,HTC,and hydrochar applications,in this review,the category of biomass was first classified and the chemical compositions were summarized.Then,the main chemical reaction pathways involved in biomass decomposition and transformation during the HTC process were introduced.Meanwhile,the roles of key process parameters,including reaction temperature,residence time,pH,feedstock type,pressure,mass ratio of biomass to water,and the use of catalysts on HTC,were carefully discussed.Finally,the applications of hydrochar in energy utilization,environmental remediation,soil improvement,adsorbent,microbial fermentation,and phosphorus recovery fields were highlighted.The future directions of the HTC process were also provided,which would respond to climate change by promoting the development of the sustainable carbon materials field.展开更多
Taking the Changli Institute of Pomology,Hebei Academy of Agriculture and Forestry Sciences(hereinafter referred to as the Changli Institute of Pomology)as a case study,this paper explores the practical pathways throu...Taking the Changli Institute of Pomology,Hebei Academy of Agriculture and Forestry Sciences(hereinafter referred to as the Changli Institute of Pomology)as a case study,this paper explores the practical pathways through which Party building leads to the high-quality development of fruit tree research from three dimensions:theoretical convergence points,current development status,and functional mechanisms.It proposes that Party building should focus on its core roles of steering political direction,enhancing team cohesion,and upholding ethical standards.Deep integration of Party building and scientific research should be achieved through concrete platforms,with the effectiveness measured by breakthroughs in critical"bottleneck"technologies and increased income for fruit growers.The study aims to provide a practical reference for integrating Party building with professional work in the agricultural research sector.展开更多
Radiative cooling systems(RCSs)possess the distinctive capability to dissipate heat energy via solar and thermal radiation,making them suitable for thermal regulation and energy conservation applications,essential for...Radiative cooling systems(RCSs)possess the distinctive capability to dissipate heat energy via solar and thermal radiation,making them suitable for thermal regulation and energy conservation applications,essential for mitigating the energy crisis.A comprehensive review connecting the advancements in engineered radiative cooling systems(ERCSs),encompassing material and structural design as well as thermal and energy-related applications,is currently absent.Herein,this review begins with a concise summary of the essential concepts of ERCSs,followed by an introduction to engineered materials and structures,containing nature-inspired designs,chromatic materials,meta-structural configurations,and multilayered constructions.It subsequently encapsulates the primary applications,including thermal-regulating textiles and energy-saving devices.Next,it highlights the challenges of ERCSs,including maximized thermoregulatory effects,environmental adaptability,scalability and sustainability,and interdisciplinary integration.It seeks to offer direction for forthcoming fundamental research and industrial advancement of radiative cooling systems in real-world applications.展开更多
Liver transplantation(LT)remains the optimal life-saving intervention for patients with end-stage liver disease.Despite the recent advances in LT several barriers,including organ allocation,donor-recipient matching,an...Liver transplantation(LT)remains the optimal life-saving intervention for patients with end-stage liver disease.Despite the recent advances in LT several barriers,including organ allocation,donor-recipient matching,and patient education,persist.With the growing progress of artificial intelligence,particularly large language models(LLMs)like ChatGPT,new applications have emerged in the field of LT.Current studies demonstrating usage of ChatGPT in LT include various areas of application,from clinical settings to research and education.ChatGPT usage can benefit both healthcare professionals,by decreasing the time spent on non-clinical work,but also LT recipients by providing accurate information.Future potential applications include the expanding usage of ChatGPT and other LLMs in the field of LT pathology and radiology as well as the automated creation of discharge summaries or other related paperwork.Additionally,the next models of ChatGPT might have the potential to provide more accurate patient education material with increased readability.Although ChatGPT usage presents promising applications,there are certain ethical and practical limitations.Key concerns include patient data privacy,information accuracy,misinformation possibility and lack of legal framework.Healthcare providers and policymakers should collaborate for the establishment of a controlled framework for the safe use of ChatGPT.The aim of this minireview is to summarize current literature on ChatGPT in LT,highlighting both opportunities and limitations,while also providing future possible applications.展开更多
Diabetic retinopathy(DR)is a leading cause of vision loss among working-age populations,with early screening significantly reducing the risk of blindness.However,resource-limited regions often face challenges in DR sc...Diabetic retinopathy(DR)is a leading cause of vision loss among working-age populations,with early screening significantly reducing the risk of blindness.However,resource-limited regions often face challenges in DR screening due to a shortage of ophthalmologists.This study reports the implementation and outcomes of the Chinese local standard DB52/T 1726-2023,Regulations for the application of diabetic retinopathy screening artificial intelligence,in Cambodian healthcare institutions.A pilot DR screening program with independent operational capability is established by providing a non-mydriatic fundus camera and deploying a localized diabetic retinopathy artificial intelligence(DR-AI)screening platform at the Cambodia-Kingdom Friendship Hospital in Phnom Penh,along with comprehensive training.From January to August 2025,a total of 565 patients with type 2 diabetes were screened,yielding a DR detection rate of 26.0%(147 cases).Research findings demonstrate that applying mature Chinese DR-AI screening standards and technological solutions through international collaboration in regions with a scarcity of ophthalmic professionals is both feasible and effective.This project serves as a reference for promoting DR-AI in resource-constrained countries and regions,highlighting its significant potential to leverage AI in addressing the global burden of chronic diseases and advancing the modernization of health systems.展开更多
This article reviews the research advances in traditional Chinese medicine rhubarb and its compound formulations in the treatment of sepsis,with particular emphasis on elucidating their mechanisms of action and clinic...This article reviews the research advances in traditional Chinese medicine rhubarb and its compound formulations in the treatment of sepsis,with particular emphasis on elucidating their mechanisms of action and clinical application value.Research has demonstrated that rhubarb and its compound formulations exert therapeutic effects via multiple targets and mechanisms,including anti-inflammatory actions,protection of the intestinal barrier,modulation of immune balance,inhibition of oxidative stress,and regulation of associated signaling pathways.Clinically,rhubarb has shown distinct advantages in enhancing gastrointestinal function,mitigating systemic inflammatory responses,and reducing mortality rates among patients with sepsis.These findings provide a foundational reference for the integrated prevention and treatment of sepsis through the combined use of traditional Chinese and Western medicine.展开更多
The integration of Artificial Intelligence(AI)and Machine Learning(ML)into groundwater exploration and water resources management has emerged as a transformative approach to addressing global water challenges.This rev...The integration of Artificial Intelligence(AI)and Machine Learning(ML)into groundwater exploration and water resources management has emerged as a transformative approach to addressing global water challenges.This review explores key AI and ML concepts,methodologies,and their applications in hydrology,focusing on groundwater potential mapping,water quality prediction,and groundwater level forecasting.It discusses various data acquisition techniques,including remote sensing,geospatial analysis,and geophysical surveys,alongside preprocessing methods that are essential for enhancing model accuracy.The study highlights AI-driven solutions in water distribution,allocation optimization,and realtime resource management.Despite their advantages,the application of AI and ML in water sciences faces several challenges,including data scarcity,model reliability,and the integration of these tools with traditional water management systems.Ethical and regulatory concerns also demand careful consideration.The paper also outlines future research directions,emphasizing the need for improved data collection,interpretable models,real-time monitoring capabilities,and interdisciplinary collaboration.By leveraging AI and ML advancements,the water sector can enhance decision-making,optimize resource distribution,and support the development of sustainable water management strategies.展开更多
Standards are the common language that consolidates global consensus and builds the most solid foundation for international partnerships.They are the cornerstone for global sustainable and high-quality development.You...Standards are the common language that consolidates global consensus and builds the most solid foundation for international partnerships.They are the cornerstone for global sustainable and high-quality development.Young students,with their active and vibrant minds,represent the future and hope of standardization.展开更多
The stochastic extended finite-fault simulation method(EXSIM)is a widely used tool in seismological research,with applications in ground motion prediction and simulation,seismic hazard analysis,and engineering studies...The stochastic extended finite-fault simulation method(EXSIM)is a widely used tool in seismological research,with applications in ground motion prediction and simulation,seismic hazard analysis,and engineering studies.However,recent studies have revealed a significant limitation:EXSIM tends to overpredict ground motions in the low-to-intermediate frequency range,particularly for large thrust earthquakes that are often characterized by a double-corner-frequency source model.To address this issue and enhance simulation accuracy,this study introduces two key improvements:(1)a novel asperity-distributed stress-drop composite fault model and(2)a hybrid application of EXSIM with the composite fault model.The proposed method is validated through its application to the 2013 M_(w)6.7 Lushan earthquake that occurred in China and six thrust earthquakes with an M_(w)≥6.5 in Japan.By comparing the simulated ground motions with recorded data,the results demonstrate that the improved method achieves consistent accuracy across the high-and low-frequency spectrum(combined goodness-of-fit:CGOF<0.35).This study significantly broadens the applicability of stochastic finite-fault simulations,enabling more reliable predictions for a wider range of seismic scenarios,including complex thrust faulting events.展开更多
基金financially supported by the National Natural Science Foundation of China(Nos.22306026 and 52371346)the Young Elite Scientists Sponsorship Program by China Association for Science and Technology(No.2023QNRC001)+3 种基金the Ecological Society of China(No.STQT2023C07)the Fundamental Research Funds for the Central Universities(Nos.2242024K40007 and 2242024RCB0058)the Start-up Research Fund of Southeast University(No.RF1028623141)Tang Scholar Program of Southeast University
文摘Transition metals have garnered significant attention for their roles in addressing energy shortages and environmental water pollution.Their multivalent states and unique electron transfer properties facilitate charge transfer in the conversion reaction,expedite energy conversion,and achieve low-energy water treatment.This review comprehensively explores the fundamental mechanisms and practical applications of transition metals in water treatment,including adsorption,photocatalysis,electrocatalysis,photoelectrocatalysis,and other technologies.The feasibility of water treatment using transition metal-based materials is demonstrated through theoretical studies on typical transition metals employed in these water treatment technologies while emphasizing the potential for optimizing material performance through strategies like structural design,defect engineering,crystal engineering,composite materials,surface modification,and atomic catalysts.In addition,the utilization of transition metal-based materials in practical wastewater treatment is comprehensively reviewed.Finally,the challenges and perspectives of transition metal-based materials in practical wastewater treatment are outlined,providing a theoretical foundation and guidance for future research and engineering advancements.
基金Wuhan University of Arts and Science 2023 University-Level Scientific Research(Project No.:2023xk33)。
文摘The application of digital technology in prosthodontics not only improves the accuracy of restoration and the efficiency of diagnosis and treatment,but also brings more comfortable and convenient diagnosis and treatment experience to patients.It effectively promotes the rapid development of the prosthodontic aesthetics industry and leads prosthodontic technology to gradually enter a new digital era.Combining the advantages of digital technology in prosthodontics,this paper focuses on the specific applications of digital impression technology,CAD/CAM technology,network-based integrated cloud service technology,and CBCT technology in prosthodontics.On this basis,it prospects the development trend of digital technology in the field of prosthodontics,aiming to provide solid theoretical and practical support for clinical practice of prosthodontics and promote the gradual integration of the prosthodontic industry with the digital era.
基金supported by the National Natural Science Foundation of China(61931012,62171258,62088102,and 62271414)the Zhejiang Provincial Outstanding Youth Science Foundation(LR23F010001)the Key Project of Westlake Institute for Optoelectronics(2023GD007).
文摘It has been over a decade since the first coded aperture video compressive sensing(CS)system was reported.The underlying principle of this technology is to employ a high-frequency modulator in the optical path to modulate a recorded high-speed scene within one integration time.The superimposed image captured in this manner is modulated and compressed,since multiple modulation patterns are imposed.Following this,reconstruction algorithms are utilized to recover the desired high-speed scene.One leading advantage of video CS is that a single captured measurement can be used to reconstruct a multi-frame video,thereby enabling a low-speed camera to capture high-speed scenes.Inspired by this,a number of variants of video CS systems have been built,mainly using different modulation devices.Meanwhile,in order to obtain high-quality reconstruction videos,many algorithms have been developed,from optimization-based iterative algorithms to deep-learning-based ones.Recently,emerging deep learning methods have been dominant due to their high-speed inference and high-quality reconstruction,highlighting the possibility of deploying video CS in practical applications.Toward this end,this paper reviews the progress that has been achieved in video CS during the past decade.We further analyze the efforts that need to be made—in terms of both hardware and algorithms—to enable real applications.Research gaps are put forward and future directions are summarized to help researchers and engineers working on this topic.
基金supported by grants from“2023 Research on Vocational English Curriculum Reform:‘Implementation Path of Ideological and Political Education in Vocational English Courses for Higher Vocational Education Under the New Curriculum Standards’(Grant No.WYJZW-2023GD0029)”“The Special Project of 2024 on‘Reading and Teacher Development’Under the 14th Five-Year Plan of the China Tao Xingzhi Research Association(Grant No.CTXZRA202411937GD)”.
文摘Using the“Civil Aviation Oral English”course as a case study,we operationalize the ideological and political education(IPE)integrated evaluation system for oral English courses in higher vocational education,which is based on Kirkpatrick’s Model,into a tripartite teaching evaluation system.The system encompasses three components such as learning objective attainment,individual developmental progress,and value-added competency assessment.The proposed system facilitates three-dimensional,multi-level,and scientifically validated teaching evaluation.This approach aligns with the holistic development of students’knowledge structures,professional competencies,moral qualities,and emotional intelligence.The study provides novel methodological perspectives for IPE evaluation in vocational oral English instruction,particularly in:curriculum-based ideological mapping,competency growth metrics,and value internalization assessment.
文摘This paper systematically studies the current practical application status,existing problems and optimization suggestions of 3D printing technology in spacecraft manufacturing.Research shows that this technology has been successfully applied to the manufacturing of key components such as rocket engines and satellite structures,demonstrating advantages like lightweight and rapid prototyping.However,it still faces core challenges such as material performance,process stability,adaptability to space environments,and industrialization costs.In response to these issues,this paper proposes three optimization suggestions:enhancing manufacturing reliability by developing aerospace-specific materials,optimizing process parameters,and establishing a quality traceability system.Surface modification technology and topological optimization design are adopted to enhance the adaptability to the spatial environment,and a space-ground integrated verification method is constructed.Reduce industrialization costs through the localization of materials,modular production,and the construction of a standardized system.Research has confirmed that implementing these measures can reduce the performance dispersion of 3D-printed aerospace components by more than 50%,increase their in-orbit lifespan by three times,and lower production costs by 30-40%.The research results of this paper provide a systematic technical route and industrialization solution for the large-scale application of 3D printing technology in the aerospace field,which has significant reference value for promoting the innovation of aerospace manufacturing models.
文摘With the rapid development of the intelligent manufacturing industry,the demand for technical talents in industrial robot technology has become increasingly urgent.Focusing on the application value of virtual simulation technology in the practical teaching of industrial robot major and combining with the national vocational education reform policies,this paper explores the innovative role of virtual simulation technology in the practical teaching model from four dimensions:teaching cost optimization,safety improvement,scenario expansion,and evaluation innovation.The research shows that virtual simulation technology can effectively solve the“three highs and three difficulties”problems in traditional practical teaching,promote the in-depth development of the integration of industry and education,and provide strong support for cultivating high-quality technical and skilled talent in the field of industrial robots.
基金supported by Kunming University of Science and Technology 2024 graduate course ideological and political case construction project(109920240103)Case construction project of AI-enabled postgraduate talent training in Kunming University of Technology,the Yunnan Fundamental Research Projects(202501AT070358 and 202401AU070142)+1 种基金the Scientific Research Fund Program of Yunnan Provincial Department of Education(2024J0078)Talent Cultivation Fund Project of Kunming University of Science and Technology(KKZ3202467041 and KKZ3202467045).
文摘In response to the three major contradictions,safety,cognition,and ability cultivation,existing in the practical teaching of geological hazard courses,this paper proposes a“virtual-real integration”teaching reform scheme,using earthquake disasters as an example.By integrating digital twin technology and artificial intelligence technology,a four-layer teaching framework consisting of data layer,model layer,platform layer,and intelligent layer is constructed.Progressive teaching segments of“cognition-simulation-decision-making”are designed to establish a comprehensive training path from seismic geological survey to disaster early warning and decision-making.This scheme shifts the traditional field practice venue to a safe virtual environment,promotes students’understanding of geological hazards from static fragments to dynamic processes,enhances their comprehensive decision-making ability in geological disaster prevention and mitigation,and provides theoretical support and practical guidance for cultivating interdisciplinary talents in geological hazard prevention.
文摘Objective:To enhance the reading skills of clinical pathology residents,it is essential to establish a well-structured electronic pathology reading library.Methods:In accordance with the Resident Standardization Training Content and Standards(2022 Edition),clinical pathology residents are required to master pathological diagnoses across 11 systems:skin,head and neck,mediastinum and respiratory,digestive,urinary and male reproductive,female reproductive and breast,lymphatic and hematopoietic,bone and soft tissue,cardiovascular,central nervous,and endocrine diseases.Senior pathologists specializing in each subspecialty selected classic pathological slides,which were systematically scanned and compiled into an electronic pathology library.Results:A questionnaire survey was conducted to gather feedback on the electronic pathology reading library.Residents generally found it to be convenient,efficient,and conducive to learning.Conclusion:Training in clinical pathology diagnosis is a core component of standardized resident training.The electronic pathology reading library has been well-received and recognized by resident doctors.However,further efforts are needed to explore diverse teaching methods that align with modern educational approaches,ultimately contributing to the development of highly skilled resident doctors.
文摘Key areas such as marine resource exploration,real-time monitoring of ecological environments,and national defense security systems urgently require reliable underwater information transmission capabilities as a foundation.Underwater acoustic communication(UAC),leveraging its unique advantages as the most effective method for long-range data transfer in aquatic environments,has become an indispensable enabling technology for supporting these core applications.This review systematically examines recent advancements in UAC technology and their critical role in enabling modern marine initiatives.The analysis covers key developments in both non-coherent and coherent communication systems,including single-carrier and multi-carrier modulation schemes such as OFDM.It highlights their respective advantages in terms of robustness and high-data-rate transmission.The significant impact of challenging underwater channel characteristics,notably severe multipath fading,time-varying Doppler shifts,limited bandwidth,and environmental noise,is discussed alongside corresponding mitigation strategies.Furthermore,the integration of machine learning for sophisticated channel estimation,adaptive equalization,and intelligent system optimization is explored as a promising frontier.Emerging technologies like spread-spectrum,full-duplex,and covert UAC are also evaluated for their potential in specialized and high-stakes applications.The paper concludes by identifying persistent challenges,including regulatory constraints,physical-layer security issues,interoperability across platforms,and energy efficiency demands.Finally,it outlines future research directions aimed at developing more intelligent,secure,and efficient next-generation underwater networks.
基金supported by the National Natural Science Foundation of China(Grant No.32160172)the Key Science-Technology Project of Inner Mongolia(2023KYPT0010)+1 种基金the Natural Science Foundation of Inner Mongolia Autonomous Region of China(Grant No.2025QN03006)the 2023 Inner Mongolia Public Institution High-Level Talent Introduction Scientific Research Support Project.
文摘Environmental DNA(eDNA)technology has revolutionized biodiversity monitoring with its non-invasive,sensitive,and cost-efficient approach.This paper systematically reviews eDNA advancements,examining its applications in aquatic and terrestrial ecosystems and assessing China’s standardization progress.It delineates four developmental phases from single-species detection to high-throughput sequencing,and highlights China’s contribution to the development of technical standards.While significant progress has been made,challenges persist in quantitative accuracy,methodological consistency,and large-scale implementation.Future efforts should prioritize enhanced standardization,improved quantification techniques,broader applications,and international collaboration to drive innovation in eDNA technology.
基金supported by National Natural Science Foundation of China(22578155,22478147)the Natural Science Foundation of Huaian City(HAB2024051).
文摘Biomass is a resourcewhose organic carbon is formed from atmospheric carbon dioxide.It has numerous characteristics such as low carbon emissions,renewability,and environmental friendliness.The efficient utilization of biomass plays a significant role in promoting the development of clean energy,alleviating environmental pressures,and achieving carbon neutrality goals.Among the numerous processing technologies of biomass,hydrothermal carbonization(HTC)is a promising thermochemical process that can decompose and convert biomass into hydrochar under relatively mild conditions of approximately 180℃–300℃,thereby enabling its efficient resource utilization.In addition,HTC can directly process feedstocks with high moisture content without the need for high-temperature drying,resulting in lower energy consumption.Based on a systematic analysis of the critical articles mainly published in 2011-2025 related to biomass,HTC,and hydrochar applications,in this review,the category of biomass was first classified and the chemical compositions were summarized.Then,the main chemical reaction pathways involved in biomass decomposition and transformation during the HTC process were introduced.Meanwhile,the roles of key process parameters,including reaction temperature,residence time,pH,feedstock type,pressure,mass ratio of biomass to water,and the use of catalysts on HTC,were carefully discussed.Finally,the applications of hydrochar in energy utilization,environmental remediation,soil improvement,adsorbent,microbial fermentation,and phosphorus recovery fields were highlighted.The future directions of the HTC process were also provided,which would respond to climate change by promoting the development of the sustainable carbon materials field.
基金Supported by Qinhuangdao Social Sciences Development Research Project(2025LX378).
文摘Taking the Changli Institute of Pomology,Hebei Academy of Agriculture and Forestry Sciences(hereinafter referred to as the Changli Institute of Pomology)as a case study,this paper explores the practical pathways through which Party building leads to the high-quality development of fruit tree research from three dimensions:theoretical convergence points,current development status,and functional mechanisms.It proposes that Party building should focus on its core roles of steering political direction,enhancing team cohesion,and upholding ethical standards.Deep integration of Party building and scientific research should be achieved through concrete platforms,with the effectiveness measured by breakthroughs in critical"bottleneck"technologies and increased income for fruit growers.The study aims to provide a practical reference for integrating Party building with professional work in the agricultural research sector.
基金support from the Contract Research(“Development of Breathable Fabrics with Nano-Electrospun Membrane”,CityU ref.:9231419“Research and application of antibacterial and healing-promoting smart nanofiber dressing for children’s burn wounds”,CityU ref:PJ9240111)+1 种基金the National Natural Science Foundation of China(“Study of Multi-Responsive Shape Memory Polyurethane Nanocomposites Inspired by Natural Fibers”,Grant No.51673162)Startup Grant of CityU(“Laboratory of Wearable Materials for Healthcare”,Grant No.9380116).
文摘Radiative cooling systems(RCSs)possess the distinctive capability to dissipate heat energy via solar and thermal radiation,making them suitable for thermal regulation and energy conservation applications,essential for mitigating the energy crisis.A comprehensive review connecting the advancements in engineered radiative cooling systems(ERCSs),encompassing material and structural design as well as thermal and energy-related applications,is currently absent.Herein,this review begins with a concise summary of the essential concepts of ERCSs,followed by an introduction to engineered materials and structures,containing nature-inspired designs,chromatic materials,meta-structural configurations,and multilayered constructions.It subsequently encapsulates the primary applications,including thermal-regulating textiles and energy-saving devices.Next,it highlights the challenges of ERCSs,including maximized thermoregulatory effects,environmental adaptability,scalability and sustainability,and interdisciplinary integration.It seeks to offer direction for forthcoming fundamental research and industrial advancement of radiative cooling systems in real-world applications.
文摘Liver transplantation(LT)remains the optimal life-saving intervention for patients with end-stage liver disease.Despite the recent advances in LT several barriers,including organ allocation,donor-recipient matching,and patient education,persist.With the growing progress of artificial intelligence,particularly large language models(LLMs)like ChatGPT,new applications have emerged in the field of LT.Current studies demonstrating usage of ChatGPT in LT include various areas of application,from clinical settings to research and education.ChatGPT usage can benefit both healthcare professionals,by decreasing the time spent on non-clinical work,but also LT recipients by providing accurate information.Future potential applications include the expanding usage of ChatGPT and other LLMs in the field of LT pathology and radiology as well as the automated creation of discharge summaries or other related paperwork.Additionally,the next models of ChatGPT might have the potential to provide more accurate patient education material with increased readability.Although ChatGPT usage presents promising applications,there are certain ethical and practical limitations.Key concerns include patient data privacy,information accuracy,misinformation possibility and lack of legal framework.Healthcare providers and policymakers should collaborate for the establishment of a controlled framework for the safe use of ChatGPT.The aim of this minireview is to summarize current literature on ChatGPT in LT,highlighting both opportunities and limitations,while also providing future possible applications.
基金funded by the Chronic Disease Management Research Project of National Health Commission Capacity Building and Continuing Education Center 2025(GWJJMB202510024146)the Post-Subsidy Project for Standard Development of Guizhou Provincial Market Supervision and Administration Bureau 2025(DB52/T1726-2023)the Guizhou Provincial Health Commission Science and Technology Fund Project(gzwkj2024-076,gzwkj2026-146).
文摘Diabetic retinopathy(DR)is a leading cause of vision loss among working-age populations,with early screening significantly reducing the risk of blindness.However,resource-limited regions often face challenges in DR screening due to a shortage of ophthalmologists.This study reports the implementation and outcomes of the Chinese local standard DB52/T 1726-2023,Regulations for the application of diabetic retinopathy screening artificial intelligence,in Cambodian healthcare institutions.A pilot DR screening program with independent operational capability is established by providing a non-mydriatic fundus camera and deploying a localized diabetic retinopathy artificial intelligence(DR-AI)screening platform at the Cambodia-Kingdom Friendship Hospital in Phnom Penh,along with comprehensive training.From January to August 2025,a total of 565 patients with type 2 diabetes were screened,yielding a DR detection rate of 26.0%(147 cases).Research findings demonstrate that applying mature Chinese DR-AI screening standards and technological solutions through international collaboration in regions with a scarcity of ophthalmic professionals is both feasible and effective.This project serves as a reference for promoting DR-AI in resource-constrained countries and regions,highlighting its significant potential to leverage AI in addressing the global burden of chronic diseases and advancing the modernization of health systems.
基金Supported by National Natural Science Foundation of China(82374346)Double Hundred Outstanding Young and Middle-aged Medical and Health Talents of Wuxi City(BJ2023071)Scientific Research Project of Wuxi Municipal Health Commission(Q202358).
文摘This article reviews the research advances in traditional Chinese medicine rhubarb and its compound formulations in the treatment of sepsis,with particular emphasis on elucidating their mechanisms of action and clinical application value.Research has demonstrated that rhubarb and its compound formulations exert therapeutic effects via multiple targets and mechanisms,including anti-inflammatory actions,protection of the intestinal barrier,modulation of immune balance,inhibition of oxidative stress,and regulation of associated signaling pathways.Clinically,rhubarb has shown distinct advantages in enhancing gastrointestinal function,mitigating systemic inflammatory responses,and reducing mortality rates among patients with sepsis.These findings provide a foundational reference for the integrated prevention and treatment of sepsis through the combined use of traditional Chinese and Western medicine.
文摘The integration of Artificial Intelligence(AI)and Machine Learning(ML)into groundwater exploration and water resources management has emerged as a transformative approach to addressing global water challenges.This review explores key AI and ML concepts,methodologies,and their applications in hydrology,focusing on groundwater potential mapping,water quality prediction,and groundwater level forecasting.It discusses various data acquisition techniques,including remote sensing,geospatial analysis,and geophysical surveys,alongside preprocessing methods that are essential for enhancing model accuracy.The study highlights AI-driven solutions in water distribution,allocation optimization,and realtime resource management.Despite their advantages,the application of AI and ML in water sciences faces several challenges,including data scarcity,model reliability,and the integration of these tools with traditional water management systems.Ethical and regulatory concerns also demand careful consideration.The paper also outlines future research directions,emphasizing the need for improved data collection,interpretable models,real-time monitoring capabilities,and interdisciplinary collaboration.By leveraging AI and ML advancements,the water sector can enhance decision-making,optimize resource distribution,and support the development of sustainable water management strategies.
文摘Standards are the common language that consolidates global consensus and builds the most solid foundation for international partnerships.They are the cornerstone for global sustainable and high-quality development.Young students,with their active and vibrant minds,represent the future and hope of standardization.
基金National Key Research and Development Program of China under Grant No.2022YFC3003601National Natural Science Foundation of China under Grant No.52478570+1 种基金Heilongjiang Provincial Natural Science Foundation Outstanding Youth Program under Grant No.J020245002the Key Research and Development Program of Xinjiang Production and Construction Corps under Grant No.2024AB077。
文摘The stochastic extended finite-fault simulation method(EXSIM)is a widely used tool in seismological research,with applications in ground motion prediction and simulation,seismic hazard analysis,and engineering studies.However,recent studies have revealed a significant limitation:EXSIM tends to overpredict ground motions in the low-to-intermediate frequency range,particularly for large thrust earthquakes that are often characterized by a double-corner-frequency source model.To address this issue and enhance simulation accuracy,this study introduces two key improvements:(1)a novel asperity-distributed stress-drop composite fault model and(2)a hybrid application of EXSIM with the composite fault model.The proposed method is validated through its application to the 2013 M_(w)6.7 Lushan earthquake that occurred in China and six thrust earthquakes with an M_(w)≥6.5 in Japan.By comparing the simulated ground motions with recorded data,the results demonstrate that the improved method achieves consistent accuracy across the high-and low-frequency spectrum(combined goodness-of-fit:CGOF<0.35).This study significantly broadens the applicability of stochastic finite-fault simulations,enabling more reliable predictions for a wider range of seismic scenarios,including complex thrust faulting events.
