The convergence of artificial intelligence(AI)and big data is reshaping contemporary oncology by enabling the integration of multimodal information across imaging,pathology,genomics,and clinical records.From a physici...The convergence of artificial intelligence(AI)and big data is reshaping contemporary oncology by enabling the integration of multimodal information across imaging,pathology,genomics,and clinical records.From a physician-centered perspective,these technologies can potentially be used to improve diagnostic precision,support individualized treatment planning,enhance longitudinal patient management,and accelerate both clinical and translational research.In this review,we synthesize the core AI methodologies most relevant to oncology-machine learning,deep learning,and large language models-and examine how they interact with established and emerging oncology data platforms.We further highlight practical use cases in clinical workflows and research pipelines,emphasizing opportunities for advancing precision cancer care while also addressing challenges associated with data heterogeneity,model generalizability,privacy protection,and real-world implementation.By underscoring the synergistic value of AI and big data,this review aims to inform the development of clinically meaningful,context-adapted strategies that promote translational innovation in both global and locally resourced healthcare environments.展开更多
While conventional FISH and IHC methods struggle to decode complex tissue heterogeneity and comprehensive molecular diagnosis due to low-throughput spatial information,spatial omics technologies enable high-throughput...While conventional FISH and IHC methods struggle to decode complex tissue heterogeneity and comprehensive molecular diagnosis due to low-throughput spatial information,spatial omics technologies enable high-throughput molecular mapping across tissue microenvironments.These technologies are emerging as transformative tools in molecular diagnostics and medical research.By integrating histopathological morphology with spatial multi-omics profiling(genome,transcriptome,epigenome,and proteome),spatial omics technologies open an avenue for understanding disease progression,therapeutic resistance mechanisms,and precise diagnosis.It particularly enhances tumor microenvironment analysis by mapping immune cell distributions and functional states,which may greatly facilitate tumor molecular subtyping,prognostic assessment,and prediction of the radiotherapy and chemotherapy efficacy.Despite the substantial advancements in spatial omics,the translation of spatial omics into clinical applications remains challenging due to robustness,efficacy,clinical validation,and cost constraints.In this review,we summarize the current progress and prospects of spatial omics technologies,particularly in medical research and diagnostic applications.展开更多
Ganmai Dazao Decoction,originating from“Jin Gui Yao Lue”(Synopsis of the Golden Chamber),is a classical prescription for treating visceral agitation.Composed of three medicinal and edible substances-licorice(Gancao)...Ganmai Dazao Decoction,originating from“Jin Gui Yao Lue”(Synopsis of the Golden Chamber),is a classical prescription for treating visceral agitation.Composed of three medicinal and edible substances-licorice(Gancao),wheat(Xiaomai),and jujube(Dazao),it functions to nourish the heart and calm the mind,harmonize the middle burner and regulate Qi,and alleviate urgency and restlessness.As its clinical application has expanded from traditional emotional disorders to neurological,endocrine,and various psychosomatic diseases,establishing a scientifically precise quality control system and deeply elucidating its pharmacodynamic material basis and mechanism of action have become critical tasks.Modern analytical methods,typified by chromatography,spectroscopy,and their hyphenated techniques,with their high sensitivity,high resolution,and powerful substance characterization capabilities,have become the core driving force for standardizing the quality control and modernizing the clinical application research of this formula.This paper systematically reviews the progress of the aforementioned analytical techniques and chemometrics in interpreting the chemical composition,establishing fingerprint profiles,controlling process quality,and researching the pharmacodynamic material basis of Ganmai Dazao Decoction.Furthermore,it discusses integrated approaches combining analytical techniques with pharmacology and clinical medicine to reveal mechanisms of action and explore therapeutic biomarkers.Finally,it provides an outlook on future directions and challenges,including technological integration and innovation,standardization of whole-process quality control systems,and evidence-based research aimed at internationalization.展开更多
Machine learning(ML)is a type of artificial intelligence that assists computers in the acquisition of knowledge through data analysis,thus creating machines that can complete tasks otherwise requiring human intelligen...Machine learning(ML)is a type of artificial intelligence that assists computers in the acquisition of knowledge through data analysis,thus creating machines that can complete tasks otherwise requiring human intelligence.Among its various applications,it has proven groundbreaking in healthcare as well,both in clinical practice and research.In this editorial,we succinctly introduce ML applications and present a study,featured in the latest issue of the World Journal of Clinical Cases.The authors of this study conducted an analysis using both multiple linear regression(MLR)and ML methods to investigate the significant factors that may impact the estimated glomerular filtration rate in healthy women with and without non-alcoholic fatty liver disease(NAFLD).Their results implicated age as the most important determining factor in both groups,followed by lactic dehydrogenase,uric acid,forced expiratory volume in one second,and albumin.In addition,for the NAFLD-group,the 5th and 6th most important impact factors were thyroid-stimulating hormone and systolic blood pressure,as compared to plasma calcium and body fat for the NAFLD+group.However,the study's distinctive contribution lies in its adoption of ML methodologies,showcasing their superiority over traditional statistical approaches(herein MLR),thereby highlighting the potential of ML to represent an invaluable advanced adjunct tool in clinical practice and research.展开更多
Traditional approaches to teaching the power system analysis course face challenges such as abstract and difficult-to-understand content,single teaching method,and limited practical links.In response,this paper explor...Traditional approaches to teaching the power system analysis course face challenges such as abstract and difficult-to-understand content,single teaching method,and limited practical links.In response,this paper explores in depth the significance and strategies of applying AI technology in the teaching of the course.The aim is to enhance students’ability to understand and apply knowledge,and to cultivate well-qualified technical professionals who can adapt to the intelligent development needs of the power industry.The proposed strategies include building an intelligent learning diagnosis platform,providing personalized learning guidance,developing an AI-integrated curriculum system,fostering a“dual-qualified and interdisciplinary”teaching team,and establishing a diversified assessment and evaluation system.展开更多
As a product of the new century,artificial intelligence has been continuously developed and advanced.It has been applied to many fields,especially in the field of mechanical design and manufacturing.With the support o...As a product of the new century,artificial intelligence has been continuously developed and advanced.It has been applied to many fields,especially in the field of mechanical design and manufacturing.With the support of artificial intelligence,mechanical design and manufacturing can not only reduce input costs but also significantly reduce the demand for labor,playing a positive role in improving the design efficiency and quality of mechanical manufacturing[1].This paper studies how to apply artificial intelligence technology to the mechanical design and production process to achieve greater application and development.展开更多
The research and development of new traditional Chinese medicine(TCM)drugs have progressively established a novel system founded on the integration of TCM theory,human experience,and clinical trials(termed the“Three ...The research and development of new traditional Chinese medicine(TCM)drugs have progressively established a novel system founded on the integration of TCM theory,human experience,and clinical trials(termed the“Three Combinations”).However,considering TCM's distinctive features of“syndrome differentiation and treatment”and“multicomponent formulations and complex mechanisms”,current TCM drug development faces challenges such as insufficient understanding of the material basis and the overall mechanism of action and an incomplete evidence chain system.Moreover,significant obstacles persist in gathering human experience data,evaluating clinical efficacy,and controlling the quality of active ingredients,which impede the innovation process in TCM drug development.Network pharmacology,centered on the“network targets”theory,transcends the limitations of the conventional“single target”reductionist research model.It emphasizes the comprehensive effects of disease or syndrome biological networks as targets to elucidate the overall regulatory mechanism of TCM prescriptions.This approach aligns with the holistic perspective of TCM,offering a novel method consistent with TCM's holistic view for investigating the complex mechanisms of TCM and developing new TCM drugs.It is internationally recognized as a“next-generation drug research model”.To advance the research of new tools,methods,and standards for TCM evaluation and to overcome fundamental,critical,and cutting-edge technical challenges in TCM regulation,this consensus aims to explore the characteristics,progress,challenges,applicable pathways,and specific applications of network pharmacology as a new theory,method,and tool in TCM drug development.The goal is to enhance the quality of TCM drug research and development and accelerate the efficiency of developing new TCM products.展开更多
Recently,the first cross-border matchmaking meeting of 2025 for the application of offshore wind power research outcomes took place in Yangjiang,Guangdong Province.Hosted by the GBA Institute of Industry and Talent(GB...Recently,the first cross-border matchmaking meeting of 2025 for the application of offshore wind power research outcomes took place in Yangjiang,Guangdong Province.Hosted by the GBA Institute of Industry and Talent(GBAIIT),the event spotlighted the cross-axis wind turbine(CAWT),a technology developed by the task force headed by Chong Wen Tong,a fellow with the Academy of Sciences Malaysia and director of the Center for Energy Sciences at the University of Malaya.展开更多
In the context of the rapid iteration of information technology,the Internet of Things(IoT)has established itself as a pivotal hub connecting the digital world and the physical world.Wireless Sensor Networks(WSNs),dee...In the context of the rapid iteration of information technology,the Internet of Things(IoT)has established itself as a pivotal hub connecting the digital world and the physical world.Wireless Sensor Networks(WSNs),deeply embedded in the perception layer architecture of the IoT,play a crucial role as“tactile nerve endings.”A vast number of micro sensor nodes are widely distributed in monitoring areas according to preset deployment strategies,continuously and accurately perceiving and collecting real-time data on environmental parameters such as temperature,humidity,light intensity,air pressure,and pollutant concentration.These data are transmitted to the IoT cloud platform through stable and reliable communication links,forming a massive and detailed basic data resource pool.By using cutting-edge big data processing algorithms,machine learning models,and artificial intelligence analysis tools,in-depth mining and intelligent analysis of these multi-source heterogeneous data are conducted to generate high-value-added decision-making bases.This precisely empowers multiple fields,including agriculture,medical and health care,smart home,environmental science,and industrial manufacturing,driving intelligent transformation and catalyzing society to move towards a new stage of high-quality development.This paper comprehensively analyzes the technical cores of the IoT and WSNs,systematically sorts out the advanced key technologies of WSNs and the evolution of their strategic significance in the IoT system,deeply explores the innovative application scenarios and practical effects of the two in specific vertical fields,and looks forward to the technological evolution trends.It provides a detailed and highly practical guiding reference for researchers,technical engineers,and industrial decision-makers.展开更多
In recent years,gratitude intervention,as an application method of positive psychology,has gradually attracted the attention of researchers.Gratitude intervention is considered to be an effective psychological interve...In recent years,gratitude intervention,as an application method of positive psychology,has gradually attracted the attention of researchers.Gratitude intervention is considered to be an effective psychological intervention,especially in patients with malignant tumors.This study reviews the research progress of gratitude intervention in patients with malignant tumors,focusing on the mechanism,implementation methods,effect evaluation and challenges in clinical application of gratitude intervention,in the hope of providing a theoretical support and practical guideline for future research and practice.展开更多
Acute liver failure(ALF),a severe clinical syndrome marked by high mortality rates and limited conventional treatments,urgently requires innovative therapeutic strategies.In recent years,human umbilical cord mesenchym...Acute liver failure(ALF),a severe clinical syndrome marked by high mortality rates and limited conventional treatments,urgently requires innovative therapeutic strategies.In recent years,human umbilical cord mesenchymal stem cells(hUC-MSCs)have emerged as a research hotspot due to their unique differentiation potential,remarkable regenerative capacity,and significant immune regulatory properties.Studies demonstrate that it can improve liver function through multiple mechanisms,promote hepatocyte regeneration,and reduce hepatic injury.Additionally,their role in regulating inflammatory responses provides new therapeutic approaches for ALF.This review systematically examines the latest research progress on hUC-MSCs in ALF treatment,focusing on their mechanisms of action,therapeutic efficacy,and clinical application prospects,aiming to provide valuable references for future research and clinical practice.展开更多
Osteoarthritis(OA)is a kind of joint diseases characterized by fibrosis,ulceration,and loss of articular cartilage and articular surrounding tissues caused by various factors,the main symptoms of OA include joint pain...Osteoarthritis(OA)is a kind of joint diseases characterized by fibrosis,ulceration,and loss of articular cartilage and articular surrounding tissues caused by various factors,the main symptoms of OA include joint pain,joint stiffness,and loss of joint function,and OA has the higher prevalence rate and has been listed as one of the four major disabling diseases,seriously affecting people’s lives and health.Traditional Chinese medicine(TCM)is a comprehensive science based on the theory of Yin Yang(one TCM theory,the material world is believed to be nurtured,developed,and changed under the influence of Yin and Yang)and Five Elements(The five most basic substances-wood,fire,earth,metal,and water-are considered indispensable elements that make up the world),based on TCM theory and practical experience it can play the important role in prevention,diagnosis,treatment,rehabilitation,and health care in OA,exhibit the great application potential for OA treatment.In this review,we have summarized the recent research progress in the application of TCM in OA,including an analysis of underlying mechanisms,application limitations,and potential solutions,found that the material basis and targets of the therapeutic component of TCM,the quality control and the mechanism of TCM application in OA are not very clear,which may become the application limitation of TCM in OA.We hope that this review will offer valuable insights to researchers in the field.展开更多
Journal overview:Journal of Mathematical Research with Applications(JMRA),formerly Journal of Mathematical Research and Exposition(JMRE)created in 1981,one of the transactions of China Society for Industrial and Appli...Journal overview:Journal of Mathematical Research with Applications(JMRA),formerly Journal of Mathematical Research and Exposition(JMRE)created in 1981,one of the transactions of China Society for Industrial and Applied Mathematics,is a home for original research papers of the highest quality in all areas of mathematics with applications.The target audience comprises:pure and applied mathematicians,graduate students in broad felds of sciences and technology,scientists and engineers interested in mathematics.展开更多
Journal overview:Journal of Mathematical Research with Applications(JMRA),formerly Journal of Mathematical Research and Exposition(JMRE)created in 1981,one of the transactions of China Society for Industrial and Appli...Journal overview:Journal of Mathematical Research with Applications(JMRA),formerly Journal of Mathematical Research and Exposition(JMRE)created in 1981,one of the transactions of China Society for Industrial and Applied Mathematics,is a home for original research papers of the highest quality in all areas of mathematics with applications.The target audience comprises:pure and applied mathematicians,graduate students in broad fields of sciences and technology,scientists and engineers interested in mathematics.展开更多
Journal overview:Journal of Mathematical Research with Applications(JMRA),formerly Journal of Mathematical Research and Exposition(JMRE)created in 1981,one of the transactions of China Society for Industrial and Appli...Journal overview:Journal of Mathematical Research with Applications(JMRA),formerly Journal of Mathematical Research and Exposition(JMRE)created in 1981,one of the transactions of China Society for Industrial and Applied Mathematics,is a home for original research papers of the highest quality in all areas of mathematics with applications.The target audience comprises:pure and applied mathematicians,graduate students in broad fields of sciences and technology,scientists and engineers interested in mathematics.展开更多
Journal overview:Journal of Mathematical Research with Applications(JMRA),formerly Journal of Mathematical Research and Exposition(JMRE)created in 1981,one of the transactions of China Society for Industrial and Appli...Journal overview:Journal of Mathematical Research with Applications(JMRA),formerly Journal of Mathematical Research and Exposition(JMRE)created in 1981,one of the transactions of China Society for Industrial and Applied Mathematics,is a home for original research papers of the highest quality in all areas of mathematics with applications.The target audience comprises:pure and applied mathematicians,graduate students in broad fields of sciences and technology,scientists and engineers interested in mathematics.展开更多
Journal overview:Journal of Mathematical Research with Applications(JMRA),formerly Journal of Mathematical Research and Exposition(JMRE)created in 1981,one of the transactions of China Society for Industrial and Appli...Journal overview:Journal of Mathematical Research with Applications(JMRA),formerly Journal of Mathematical Research and Exposition(JMRE)created in 1981,one of the transactions of China Society for Industrial and Applied Mathematics,is a home for original research papers of the highest quality in all areas of mathematics with applications.The target audience comprises:pure and applied mathematicians,graduate students in broad fields of sciences and technology,scientists and engineers interested in mathematics.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
This paper investigates the application of Building Information Modeling(BIM)technology in architectural design and its future developmental trajectories.It begins by elucidating the advantages of BIM technology compa...This paper investigates the application of Building Information Modeling(BIM)technology in architectural design and its future developmental trajectories.It begins by elucidating the advantages of BIM technology compared to conventional design methodologies.Subsequently,it examines the specific implementations of BIM technology in architectural design,highlighting its substantial contributions to improving design precision,operational efficiency,and collaborative processes.Lastly,the paper anticipates the evolutionary trends of BIM technology.Looking ahead,as artificial intelligence,blockchain,and big data technologies continue to advance,BIM technology is poised to experience further innovations and breakthroughs,thereby presenting novel opportunities and challenges for the construction sector.展开更多
基金Hunan Provincial Natural Science Foundation of China,Grant/Award Numbers:2024JJ6289,2023JJ60464,2023JJ60334Changsha City Technology Program,Grant/Award Number:kq2403120+1 种基金Climb Plan of Hunan Cancer Hospital,Grant/Award Numbers:ZX2021005,QH2023006High-Level Talent Support Program of Hunan Cancer Hospital,Grant/Award Number:20250731-1050。
文摘The convergence of artificial intelligence(AI)and big data is reshaping contemporary oncology by enabling the integration of multimodal information across imaging,pathology,genomics,and clinical records.From a physician-centered perspective,these technologies can potentially be used to improve diagnostic precision,support individualized treatment planning,enhance longitudinal patient management,and accelerate both clinical and translational research.In this review,we synthesize the core AI methodologies most relevant to oncology-machine learning,deep learning,and large language models-and examine how they interact with established and emerging oncology data platforms.We further highlight practical use cases in clinical workflows and research pipelines,emphasizing opportunities for advancing precision cancer care while also addressing challenges associated with data heterogeneity,model generalizability,privacy protection,and real-world implementation.By underscoring the synergistic value of AI and big data,this review aims to inform the development of clinically meaningful,context-adapted strategies that promote translational innovation in both global and locally resourced healthcare environments.
基金supported by the National Natural Science Foundation of China(32171022,32221005,and 32401246).
文摘While conventional FISH and IHC methods struggle to decode complex tissue heterogeneity and comprehensive molecular diagnosis due to low-throughput spatial information,spatial omics technologies enable high-throughput molecular mapping across tissue microenvironments.These technologies are emerging as transformative tools in molecular diagnostics and medical research.By integrating histopathological morphology with spatial multi-omics profiling(genome,transcriptome,epigenome,and proteome),spatial omics technologies open an avenue for understanding disease progression,therapeutic resistance mechanisms,and precise diagnosis.It particularly enhances tumor microenvironment analysis by mapping immune cell distributions and functional states,which may greatly facilitate tumor molecular subtyping,prognostic assessment,and prediction of the radiotherapy and chemotherapy efficacy.Despite the substantial advancements in spatial omics,the translation of spatial omics into clinical applications remains challenging due to robustness,efficacy,clinical validation,and cost constraints.In this review,we summarize the current progress and prospects of spatial omics technologies,particularly in medical research and diagnostic applications.
文摘Ganmai Dazao Decoction,originating from“Jin Gui Yao Lue”(Synopsis of the Golden Chamber),is a classical prescription for treating visceral agitation.Composed of three medicinal and edible substances-licorice(Gancao),wheat(Xiaomai),and jujube(Dazao),it functions to nourish the heart and calm the mind,harmonize the middle burner and regulate Qi,and alleviate urgency and restlessness.As its clinical application has expanded from traditional emotional disorders to neurological,endocrine,and various psychosomatic diseases,establishing a scientifically precise quality control system and deeply elucidating its pharmacodynamic material basis and mechanism of action have become critical tasks.Modern analytical methods,typified by chromatography,spectroscopy,and their hyphenated techniques,with their high sensitivity,high resolution,and powerful substance characterization capabilities,have become the core driving force for standardizing the quality control and modernizing the clinical application research of this formula.This paper systematically reviews the progress of the aforementioned analytical techniques and chemometrics in interpreting the chemical composition,establishing fingerprint profiles,controlling process quality,and researching the pharmacodynamic material basis of Ganmai Dazao Decoction.Furthermore,it discusses integrated approaches combining analytical techniques with pharmacology and clinical medicine to reveal mechanisms of action and explore therapeutic biomarkers.Finally,it provides an outlook on future directions and challenges,including technological integration and innovation,standardization of whole-process quality control systems,and evidence-based research aimed at internationalization.
文摘Machine learning(ML)is a type of artificial intelligence that assists computers in the acquisition of knowledge through data analysis,thus creating machines that can complete tasks otherwise requiring human intelligence.Among its various applications,it has proven groundbreaking in healthcare as well,both in clinical practice and research.In this editorial,we succinctly introduce ML applications and present a study,featured in the latest issue of the World Journal of Clinical Cases.The authors of this study conducted an analysis using both multiple linear regression(MLR)and ML methods to investigate the significant factors that may impact the estimated glomerular filtration rate in healthy women with and without non-alcoholic fatty liver disease(NAFLD).Their results implicated age as the most important determining factor in both groups,followed by lactic dehydrogenase,uric acid,forced expiratory volume in one second,and albumin.In addition,for the NAFLD-group,the 5th and 6th most important impact factors were thyroid-stimulating hormone and systolic blood pressure,as compared to plasma calcium and body fat for the NAFLD+group.However,the study's distinctive contribution lies in its adoption of ML methodologies,showcasing their superiority over traditional statistical approaches(herein MLR),thereby highlighting the potential of ML to represent an invaluable advanced adjunct tool in clinical practice and research.
文摘Traditional approaches to teaching the power system analysis course face challenges such as abstract and difficult-to-understand content,single teaching method,and limited practical links.In response,this paper explores in depth the significance and strategies of applying AI technology in the teaching of the course.The aim is to enhance students’ability to understand and apply knowledge,and to cultivate well-qualified technical professionals who can adapt to the intelligent development needs of the power industry.The proposed strategies include building an intelligent learning diagnosis platform,providing personalized learning guidance,developing an AI-integrated curriculum system,fostering a“dual-qualified and interdisciplinary”teaching team,and establishing a diversified assessment and evaluation system.
文摘As a product of the new century,artificial intelligence has been continuously developed and advanced.It has been applied to many fields,especially in the field of mechanical design and manufacturing.With the support of artificial intelligence,mechanical design and manufacturing can not only reduce input costs but also significantly reduce the demand for labor,playing a positive role in improving the design efficiency and quality of mechanical manufacturing[1].This paper studies how to apply artificial intelligence technology to the mechanical design and production process to achieve greater application and development.
基金supported by the National Medical Products Administration Commissioned Research Project (No.20211440216)the National Administration of Traditional Chinese Medicine Science and Technology Project (No.GZY-KJS-2024-03)+3 种基金the State Key Laboratory of Drug Regulatory Science Project (No.2023SKLDRS0104)the Basic Research Program Natural Science Fund-Frontier Leading Technology Basic Research Special Project of Jiangsu Province (No.BK20232014)the Programs Foundation for Leading Talents in National Administration of Traditional Chinese Medicine of China“Qihuang scholars”Projectthe Tianjin Administration for Market Regulation Science and Technology Key Projects (No.2022-W35)。
文摘The research and development of new traditional Chinese medicine(TCM)drugs have progressively established a novel system founded on the integration of TCM theory,human experience,and clinical trials(termed the“Three Combinations”).However,considering TCM's distinctive features of“syndrome differentiation and treatment”and“multicomponent formulations and complex mechanisms”,current TCM drug development faces challenges such as insufficient understanding of the material basis and the overall mechanism of action and an incomplete evidence chain system.Moreover,significant obstacles persist in gathering human experience data,evaluating clinical efficacy,and controlling the quality of active ingredients,which impede the innovation process in TCM drug development.Network pharmacology,centered on the“network targets”theory,transcends the limitations of the conventional“single target”reductionist research model.It emphasizes the comprehensive effects of disease or syndrome biological networks as targets to elucidate the overall regulatory mechanism of TCM prescriptions.This approach aligns with the holistic perspective of TCM,offering a novel method consistent with TCM's holistic view for investigating the complex mechanisms of TCM and developing new TCM drugs.It is internationally recognized as a“next-generation drug research model”.To advance the research of new tools,methods,and standards for TCM evaluation and to overcome fundamental,critical,and cutting-edge technical challenges in TCM regulation,this consensus aims to explore the characteristics,progress,challenges,applicable pathways,and specific applications of network pharmacology as a new theory,method,and tool in TCM drug development.The goal is to enhance the quality of TCM drug research and development and accelerate the efficiency of developing new TCM products.
文摘Recently,the first cross-border matchmaking meeting of 2025 for the application of offshore wind power research outcomes took place in Yangjiang,Guangdong Province.Hosted by the GBA Institute of Industry and Talent(GBAIIT),the event spotlighted the cross-axis wind turbine(CAWT),a technology developed by the task force headed by Chong Wen Tong,a fellow with the Academy of Sciences Malaysia and director of the Center for Energy Sciences at the University of Malaya.
文摘In the context of the rapid iteration of information technology,the Internet of Things(IoT)has established itself as a pivotal hub connecting the digital world and the physical world.Wireless Sensor Networks(WSNs),deeply embedded in the perception layer architecture of the IoT,play a crucial role as“tactile nerve endings.”A vast number of micro sensor nodes are widely distributed in monitoring areas according to preset deployment strategies,continuously and accurately perceiving and collecting real-time data on environmental parameters such as temperature,humidity,light intensity,air pressure,and pollutant concentration.These data are transmitted to the IoT cloud platform through stable and reliable communication links,forming a massive and detailed basic data resource pool.By using cutting-edge big data processing algorithms,machine learning models,and artificial intelligence analysis tools,in-depth mining and intelligent analysis of these multi-source heterogeneous data are conducted to generate high-value-added decision-making bases.This precisely empowers multiple fields,including agriculture,medical and health care,smart home,environmental science,and industrial manufacturing,driving intelligent transformation and catalyzing society to move towards a new stage of high-quality development.This paper comprehensively analyzes the technical cores of the IoT and WSNs,systematically sorts out the advanced key technologies of WSNs and the evolution of their strategic significance in the IoT system,deeply explores the innovative application scenarios and practical effects of the two in specific vertical fields,and looks forward to the technological evolution trends.It provides a detailed and highly practical guiding reference for researchers,technical engineers,and industrial decision-makers.
基金Supported by the National Natural Science Foundation of China(71774049).
文摘In recent years,gratitude intervention,as an application method of positive psychology,has gradually attracted the attention of researchers.Gratitude intervention is considered to be an effective psychological intervention,especially in patients with malignant tumors.This study reviews the research progress of gratitude intervention in patients with malignant tumors,focusing on the mechanism,implementation methods,effect evaluation and challenges in clinical application of gratitude intervention,in the hope of providing a theoretical support and practical guideline for future research and practice.
基金Key Project of the Hunan Provincial Department of Education(Project No.:21A0024):Effect of Exosomes Derived from Umbilical Cord Blood MSCs Transfected with VEGF165 Gene on Inflammatory Apoptosis of Hepatocytes in Rats with Acute Liver Failure.
文摘Acute liver failure(ALF),a severe clinical syndrome marked by high mortality rates and limited conventional treatments,urgently requires innovative therapeutic strategies.In recent years,human umbilical cord mesenchymal stem cells(hUC-MSCs)have emerged as a research hotspot due to their unique differentiation potential,remarkable regenerative capacity,and significant immune regulatory properties.Studies demonstrate that it can improve liver function through multiple mechanisms,promote hepatocyte regeneration,and reduce hepatic injury.Additionally,their role in regulating inflammatory responses provides new therapeutic approaches for ALF.This review systematically examines the latest research progress on hUC-MSCs in ALF treatment,focusing on their mechanisms of action,therapeutic efficacy,and clinical application prospects,aiming to provide valuable references for future research and clinical practice.
文摘Osteoarthritis(OA)is a kind of joint diseases characterized by fibrosis,ulceration,and loss of articular cartilage and articular surrounding tissues caused by various factors,the main symptoms of OA include joint pain,joint stiffness,and loss of joint function,and OA has the higher prevalence rate and has been listed as one of the four major disabling diseases,seriously affecting people’s lives and health.Traditional Chinese medicine(TCM)is a comprehensive science based on the theory of Yin Yang(one TCM theory,the material world is believed to be nurtured,developed,and changed under the influence of Yin and Yang)and Five Elements(The five most basic substances-wood,fire,earth,metal,and water-are considered indispensable elements that make up the world),based on TCM theory and practical experience it can play the important role in prevention,diagnosis,treatment,rehabilitation,and health care in OA,exhibit the great application potential for OA treatment.In this review,we have summarized the recent research progress in the application of TCM in OA,including an analysis of underlying mechanisms,application limitations,and potential solutions,found that the material basis and targets of the therapeutic component of TCM,the quality control and the mechanism of TCM application in OA are not very clear,which may become the application limitation of TCM in OA.We hope that this review will offer valuable insights to researchers in the field.
文摘Journal overview:Journal of Mathematical Research with Applications(JMRA),formerly Journal of Mathematical Research and Exposition(JMRE)created in 1981,one of the transactions of China Society for Industrial and Applied Mathematics,is a home for original research papers of the highest quality in all areas of mathematics with applications.The target audience comprises:pure and applied mathematicians,graduate students in broad felds of sciences and technology,scientists and engineers interested in mathematics.
文摘Journal overview:Journal of Mathematical Research with Applications(JMRA),formerly Journal of Mathematical Research and Exposition(JMRE)created in 1981,one of the transactions of China Society for Industrial and Applied Mathematics,is a home for original research papers of the highest quality in all areas of mathematics with applications.The target audience comprises:pure and applied mathematicians,graduate students in broad fields of sciences and technology,scientists and engineers interested in mathematics.
文摘Journal overview:Journal of Mathematical Research with Applications(JMRA),formerly Journal of Mathematical Research and Exposition(JMRE)created in 1981,one of the transactions of China Society for Industrial and Applied Mathematics,is a home for original research papers of the highest quality in all areas of mathematics with applications.The target audience comprises:pure and applied mathematicians,graduate students in broad fields of sciences and technology,scientists and engineers interested in mathematics.
文摘Journal overview:Journal of Mathematical Research with Applications(JMRA),formerly Journal of Mathematical Research and Exposition(JMRE)created in 1981,one of the transactions of China Society for Industrial and Applied Mathematics,is a home for original research papers of the highest quality in all areas of mathematics with applications.The target audience comprises:pure and applied mathematicians,graduate students in broad fields of sciences and technology,scientists and engineers interested in mathematics.
文摘Journal overview:Journal of Mathematical Research with Applications(JMRA),formerly Journal of Mathematical Research and Exposition(JMRE)created in 1981,one of the transactions of China Society for Industrial and Applied Mathematics,is a home for original research papers of the highest quality in all areas of mathematics with applications.The target audience comprises:pure and applied mathematicians,graduate students in broad fields of sciences and technology,scientists and engineers interested in mathematics.
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Scientific and Technological Research Program of Chongqing Municipal Education Commission(Project No.:KJQN202301907)。
文摘This paper investigates the application of Building Information Modeling(BIM)technology in architectural design and its future developmental trajectories.It begins by elucidating the advantages of BIM technology compared to conventional design methodologies.Subsequently,it examines the specific implementations of BIM technology in architectural design,highlighting its substantial contributions to improving design precision,operational efficiency,and collaborative processes.Lastly,the paper anticipates the evolutionary trends of BIM technology.Looking ahead,as artificial intelligence,blockchain,and big data technologies continue to advance,BIM technology is poised to experience further innovations and breakthroughs,thereby presenting novel opportunities and challenges for the construction sector.
