Metal halides have attracted worldwide attention as exceptional optoelectronic materials.Over the past decade,research on metal halides has yielded remarkable progress,and their color-conversion applications have show...Metal halides have attracted worldwide attention as exceptional optoelectronic materials.Over the past decade,research on metal halides has yielded remarkable progress,and their color-conversion applications have shown considerable promise for commercialization.With the reporting of self-trapped exciton(STE)emission in perovskites,the application of metal halides as broadband emitting materials in the lighting field has gained increas-ing interest.Herein,we provide a comprehensive review of metal halide STE emitters,especially for lighting applications.We begin with highlighting the ideal spectral characteristics and corresponding performance metrics for lighting.This is followed by a systematic summary of the mechanisms,optimization strategies,and recent advances of STE emission in metal halides.Finally,we outline the major challenges and prospective trends for metal halide STE emitters.This review aims to offer valuable insights into metal halide STE emitters and their lighting applications for facilitating the future commercialization.展开更多
Whole Slide Imaging (WSI) technology, as a revolutionary digital technology in the field of pathology, is gradually changing the traditional clinical pathological diagnosis model. By converting traditional glass patho...Whole Slide Imaging (WSI) technology, as a revolutionary digital technology in the field of pathology, is gradually changing the traditional clinical pathological diagnosis model. By converting traditional glass pathological sections into complete digital images through high-resolution scanning, it provides a new method for pathological diagnosis. Based on this, this paper studies the application of WSI technology in clinical pathological diagnosis, elaborates on its application value, analyzes the current application status, and proposes corresponding application countermeasures, aiming to provide reference for the standardized and popularized development of this technology in clinical pathological diagnosis.展开更多
Lignin,the most abundant natural aromatic polymer globally,has garnered considerable interest due to its rich and diverse active functional groups and its antioxidant,antimicrobial,and adhesive properties.Recent resea...Lignin,the most abundant natural aromatic polymer globally,has garnered considerable interest due to its rich and diverse active functional groups and its antioxidant,antimicrobial,and adhesive properties.Recent research has significantly improved the performance of lignin-based hydrogels,suggesting their substantial potential in fields such as biomedicine,environmental science,and agriculture.This paper reviews the process of lignin extraction,systematically introduces synthesis strategies for preparing lignin-based hydrogels,and discusses the current state of research on these hydrogels in biomedical and environmental protection fields.It concludes by identifying the existing challenges in lignin hydrogel research and envisioning future prospects and development trends.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
The escalating global crisis of antibiotic resistance necessitates urgent development of novel antimicrobial agents.In this context,antimicrobial peptides(AMPs)derived from fish emerge as a highly promising strategic ...The escalating global crisis of antibiotic resistance necessitates urgent development of novel antimicrobial agents.In this context,antimicrobial peptides(AMPs)derived from fish emerge as a highly promising strategic resource,owing to their unique structural diversity and the exceptional adaptability and tolerance conferred by evolutionary pressures in aquatic environments.This review systematically synthesizes key advances in fish-derived AMP research.It details their diverse sourcing avenues,encompassing tissues from live fish(e.g.,skin,mucus,gills,intestines)and processing byproducts(e.g.,scales,skins,viscera).The discussion covers efficient isolation,purification,and synthesis strategies,and critically examines their defining feature:unique multi-target synergistic antimicrobial mechanisms(including microbial membrane disruption,intracellular targeting,and immunomodulation),which contribute to a reduced propensity for resistance development.To address inherent limitations of natural AMPs(such as susceptibility to proteolysis and potential toxicity),the review highlights innovative optimization approaches,including computational-aided rational design,amino acid modification,cyclization,and hybrid peptide construction.Furthermore,the review elaborates on their significant application potential across crucial domains:food preservation(inhibiting spoilage organisms,extending shelf-life),sustainable aquaculture(as antibiotic alternatives,enhancing disease resistance,improving water quality),and the development of novel anti-infective therapeutics(particularly against drug-resistant infections).Therefore,this work aims to provide a comprehensive theoretical foundation and innovative strategic insights to foster in-depth research and the sustainable exploitation of this vital strategic biological resource.展开更多
Graphitic carbon nitride(g-CN)stands out as the most promising candidate for solar energy conversion owing to its easy preparation,metal-free nature,flexible molecular structure,moderate bandgap,and excellent thermal/...Graphitic carbon nitride(g-CN)stands out as the most promising candidate for solar energy conversion owing to its easy preparation,metal-free nature,flexible molecular structure,moderate bandgap,and excellent thermal/chemical stability.To enhance the performance of intrinsic g-CN,a supramolecular self-assembly strategy has been proposed to regulate the molecular structure of supramolecular precursors through non-covalent interactions across molecular building blocks,thereby optimizing the electronic structure of g-CN.This review provides a comprehensive overview of the recent progress in supramolecular self-assembly-derived graphitic carbon nitride(SM-CN)from both experimental and theoretical computational research in synthesis strategies,including synthesis methods and influencing factors,providing a theoretical foundation for the design of supramolecular assembly.It also discusses modification strategies,such as internal modification of the conjugated plane,interlayer optimization,and construction of heterointerfaces to improve the electronic structure of SM-CN owing to its unique layered structure.This review further summarizes the applications of SM-CN in environment and energy,including wastewater treatment,sterilization and disinfection/air purification,water splitting,H_(2)O_(2)production,organic synthesis/biomass conversion,CO_(2)reduction,photocatalytic coupling technology.Finally,perspectives and outlooks for the future development of SM-CN aim to inspire further innovation in the design and construction of high-performance SM-CN for broader applications.展开更多
Biodegradable metals(BMs)have shown significant potential for applications in the field of orthopedic implants.These materials gradually degrade after implantation,eventually disappear without residue,provide necessar...Biodegradable metals(BMs)have shown significant potential for applications in the field of orthopedic implants.These materials gradually degrade after implantation,eventually disappear without residue,provide necessary mechanical support during degradation,and closely integrate with bone tissues.Fe-based BMs are particularly notable for their good mechanical properties and biocompatibility.However,their slow degradation rate is a limitation.The emergence of Mn-incorporated Fe-based alloys(Fe-Mn alloys)offers the possibilities for addressing issues of slow degradation rate and incompatibility of magnetic resonance imaging(MRI)for Fe alloys.This review summarizes the advantages of Fe-Mn alloys as orthopedic implants,and the cutting-edge advances in degradation,mechanical and magnetic properties,and osteogenic performance.The cytotoxicity issue is addressed for the porous structured Fe-Mn alloys caused by the enrichment of manganese ions,and thus the main challenge and the development are involved for the Fe-Mn alloys to achieve a balance among biocompatibility,structure,and degradation rate.Also the perspectives are proposed for Fe-Mn alloys as orthopedic implants.展开更多
Ulva lactuca whole components served as a carbon source for high-density fermentation of Bifidobacterium,yielding a low-cost,highly biocompatible Ulva lactuca bifidobacterium ferment filtrate(ULBFF).Its peptide profil...Ulva lactuca whole components served as a carbon source for high-density fermentation of Bifidobacterium,yielding a low-cost,highly biocompatible Ulva lactuca bifidobacterium ferment filtrate(ULBFF).Its peptide profile and molecular weight distribution were characterized by LC/MS.Cosmetic potential was systematically evaluated through stability testing,HET-CAM test,ABTS+∙/DPPH∙scavenging,NO inhibition,melanin suppression,and type Ⅰ collagen promotion.The results indicated a rich distribution of peptides,predominantly low-molecular-weight oligopeptides,with 92.92%of peptides containing≤20 amino acids and 84.89%of components having a molecular weight<500 Da.Formulations exhibited excellent stability and low irritation.Furthermore,they showed significantly enhanced efficacy in key areas,including antioxidant and antiinflammatory activity,melanin suppression,and collagen promotion.The ULBFF improved multifunctional performance while maintaining formulation stability and safety,demonstrating high scalability and potential for marine bioresource utilization in functional cosmetics.展开更多
Network-on-Chip(NoC)systems are progressively deployed in connecting massively parallel megacore systems in the new computing architecture.As a result,application mapping has become an important aspect of performance ...Network-on-Chip(NoC)systems are progressively deployed in connecting massively parallel megacore systems in the new computing architecture.As a result,application mapping has become an important aspect of performance and scalability,as current trends require the distribution of computation across network nodes/points.In this paper,we survey a large number of mapping and scheduling techniques designed for NoC architectures.This time,we concentrated on 3D systems.We take a systematic literature review approach to analyze existing methods across static,dynamic,hybrid,and machine-learning-based approaches,alongside preliminary AI-based dynamic models in recent works.We classify them into several main aspects covering power-aware mapping,fault tolerance,load-balancing,and adaptive for dynamic workloads.Also,we assess the efficacy of each method against performance parameters,such as latency,throughput,response time,and error rate.Key challenges,including energy efficiency,real-time adaptability,and reinforcement learning integration,are highlighted as well.To the best of our knowledge,this is one of the recent reviews that identifies both traditional and AI-based algorithms for mapping over a modern NoC,and opens research challenges.Finally,we provide directions for future work toward improved adaptability and scalability via lightweight learned models and hierarchical mapping frameworks.展开更多
Global water scarcity and pollution present critical challenges for human society.Solar-driven wastewater treatments,such as photocatalytic degradation of organic pollutants and photothermal conversion water evaporati...Global water scarcity and pollution present critical challenges for human society.Solar-driven wastewater treatments,such as photocatalytic degradation of organic pollutants and photothermal conversion water evaporation,offer promising solutions.TiO_(2)has garnered extensive attention in these fields,but its large bandgap limits light absorption,affecting its performance and broader applications in energy and environmental fields.Consequently,modifying TiO_(2)to improve its photocatalytic and photothermal conversion performance has become a research hotspot.Among various modification strategies,self-doping with Ti^(3+)and oxygen vacancies can reduce the bandgap of TiO_(2),improve sunlight utilization,and increase the separation efficiency of photogenerated electron-hole pairs,thereby significantly enhancing the photocatalytic and photothermal conversion performance.This review focuses on the inorganic chemical reduction methods for preparing Ti^(3+)/oxygen vacancies self-doped TiO_(2)and their current applications in solar-driven photothermal conversion water evaporation.It highlights the challenges faced during synthesis and application while offering insights into future development prospects.This review is expected to provide a valuable reference for further research on the preparation and application of Ti^(3+)/oxygen vacancies self-doped TiO_(2).展开更多
Breast cancer is the most common malignant tumor among women globally and poses a major public health challenge due to limitations in traditional diagnostic and treatment processes,such as subjective interpretation bi...Breast cancer is the most common malignant tumor among women globally and poses a major public health challenge due to limitations in traditional diagnostic and treatment processes,such as subjective interpretation biases and inefficient multidimensional data integration.Artificial intelligence(AI),particularly deep learning and machine learning technologies,has emerged as a transformative tool in addressing these issues.Clinically,AI has been widely applied in imaging screening to improve detection rates and reduce reading time,digital pathology for precise tumor typing and gene mutation prediction,treatment decisionsupport systems to enhance guideline compliance,and drug research and development to accelerate target identification and virtual screening.Despite these achievements,AI implementation faces challenges,such as data standardization issues,limited model generalization,low clinical accessibility,and unclear ethical-legal responsibilities,which require targeted solutions that include national data standards,multi-center training,hierarchical physician training,and explainable AI.Future directions involve multimodal data integration,human-AI collaborative multidisciplinary team models,and extension to full-cycle health management from prevention-to-rehabilitation.This review provides a systematic overview of the role of AI in breast cancer care,offering insights for clinical practice and scientific research innovation,and supporting the transition toward personalized and intelligent medicine in oncology.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
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
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
The genus Actinidia is primarily functionally dioecious,and early sex identification plays a crucial role in improving breeding efficiency and reducing production costs.In this study,the accuracy of three sex-linked m...The genus Actinidia is primarily functionally dioecious,and early sex identification plays a crucial role in improving breeding efficiency and reducing production costs.In this study,the accuracy of three sex-linked molecular markers(SyGI[Shy Girl],FrBy[Friendly Boy],and SmY1)in sex identification was evaluated in various Actinidia species.The selected marker products were subsequently cloned and sequenced in six wild Actinidia species.Ninety-six wild A.chinensis chinensis accessions and 74 A.chinensis deliciosa accessions,most of which were wild,with only one cultivated,were used for comprehensive primer validation.Thirty-three juvenile A.chinensis chinensis hybrid seedlings were used for practical application tests.The results showed that the marker SyGI accurately identified the sex of 20 samples from six Actinidia species and 96 A.chinensis chinensis accessions with 100%reliability.For Actinidia chinensis deliciosa,the identification accuracy reached 98.65%.Sequence analysis revealed that SyGI shared the highest similarity with the male-specific genomic region.Furthermore,SyGI achieved 100%accuracy in identifying the sex of 33 juvenile A.chinensis chinensis individuals.The findings confirm that the SyGI marker possesses high accuracy,strong specificity,and broad applicability,making it a valuable tool for kiwifruit breeding programs.The cloned sequences from wild Actinidia species also provide important references for future research on the mechanisms of sexual evolution and determination.展开更多
With the deep integration of smart manufacturing and IoT technologies,higher demands are placed on the intelligence and real-time performance of industrial equipment fault detection.For industrial fans,base bolt loose...With the deep integration of smart manufacturing and IoT technologies,higher demands are placed on the intelligence and real-time performance of industrial equipment fault detection.For industrial fans,base bolt loosening faults are difficult to identify through conventional spectrum analysis,and the extreme scarcity of fault data leads to limited training datasets,making traditional deep learning methods inaccurate in fault identification and incapable of detecting loosening severity.This paper employs Bayesian Learning by training on a small fault dataset collected from the actual operation of axial-flow fans in a factory to obtain posterior distribution.This method proposes specific data processing approaches and a configuration of Bayesian Convolutional Neural Network(BCNN).It can effectively improve the model’s generalization ability.Experimental results demonstrate high detection accuracy and alignment with real-world applications,offering practical significance and reference value for industrial fan bolt loosening detection under data-limited conditions.展开更多
The rise of portable electronic devices and Internet of Things(IoT)has spurred significant interest in flexible triboelectric nanogenerators(TENGs)as sustainable energy solutions.The electrical performance of TENGs is...The rise of portable electronic devices and Internet of Things(IoT)has spurred significant interest in flexible triboelectric nanogenerators(TENGs)as sustainable energy solutions.The electrical performance of TENGs is profoundly influenced by nanoscale factors,including interface properties and material characteristics,highlighting the critical need for a comprehensive understanding of these parameters to unlock their full potential.This paper summarizes the recent advances in advanced fiber composite TENGs(FC-TENGs),especially electrospun nanofibers,with a focus on key nanoscale properties,covering triboelectric layer interface characteristics,dielectric constant,electron affinity,and crystal phase,all of which are fundamental to optimizing their output performance.Additionally,it explores emerging applications of FC-TENGs in wearable electronics,self-powered sensors,wireless communication systems,human-machine interfaces,and modern healthcare technologies.The review concludes by addressing existing challenges,evaluating future opportunities,and outlining research directions for advancing FC-TENGs.By bridging foundational material science with innovative applications,this review seeks to inspire the development of high-performance,self-powered electrospun composite tribovoltaic nanogenerators,paving the way for a wireless,artificial intelligence(AI)-enabled IoT era.展开更多
Objective: To analyze the impact of whole-process nursing on the rescue of emergency critically ill patients by setting a control group and an experimental group and comparing their experimental results. Methods: A to...Objective: To analyze the impact of whole-process nursing on the rescue of emergency critically ill patients by setting a control group and an experimental group and comparing their experimental results. Methods: A total of 50 critically ill patients admitted to the Emergency Department from October 2022 to October 2023 were randomly divided into the experimental group (25 cases) and the control group (25 cases). The control group received routine nursing, while the experimental group received whole-process nursing. The rescue success rate and nursing satisfaction were compared between the two groups. Results: In the experimental group, 24 patients were rescued successfully, with a success rate of 96%;in the control group, 19 patients were rescued successfully, with a success rate of 76%, showing a significant difference (χ2 = 4.1528, p = 0.0415 < 0.05). The nursing satisfaction was 92% in the experimental group and 68% in the control group. Conclusion: Whole-process nursing can effectively improve the rescue success rate of critically ill patients, enhance the satisfaction of patients and their families, and improve patients’ quality of life.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
AIM:To assess the success rate of lacrimal sac hydrostatic pressure application(HPA)maneuver,a conservative office procedure for treatment of congenital nasolacrimal duct obstruction(CNLDO).METHODS:The medical records...AIM:To assess the success rate of lacrimal sac hydrostatic pressure application(HPA)maneuver,a conservative office procedure for treatment of congenital nasolacrimal duct obstruction(CNLDO).METHODS:The medical records of pediatric patients,36mo old or younger,diagnosed with CNLDO between the years 2016-2022,were retrospectively reviewed.In all children,HPA was performed by a pediatric ophthalmologist.Success was defined as the resolution of epiphora and discharge within 48h of the intervention.RESULTS:A total of 281 eyes(194 patients)with CNLDO underwent HPA.Follow-up data were available for 261 eyes(179 patients,50.3%male)and these patients were included in the analysis.The mean follow-up time was 11.6±13mo.Ninety-seven patients(54.2%)had unilateral nasolacrimal duct obstruction,while 82 patients(45.8%)had bilateral CNLDO.The mean age at the time of HPA was 5.8±5.9mo.Complete resolution of symptoms was achieved in 102(39.1%)eyes.Patients 6mo old or younger at the time of HPA had a significantly higher success rate compared to patients older than 6mo(43.7%vs 30.9%,P=0.04).Younger age at the time of pressure application was associated with a higher resolution rate of CNLDO(OR 0.93,P=0.004).Sex assigned at birth,prematurity,laterality of the obstruction and type of symptoms(epiphora,discharge)were not correlated with success.A second HPA was performed in 46 eyes,with resolution of symptoms in 12 eyes(26.1%).CONCLUSION:Hydrostatic pressure applied on the lacrimal sac by an experienced ophthalmologist or an experienced pediatrician may be an effective treatment for CNLDO.We recommend HPA as an initial active conservative approach in all pediatric patients with CNLDO,especially those younger than 6mo.展开更多
文摘Metal halides have attracted worldwide attention as exceptional optoelectronic materials.Over the past decade,research on metal halides has yielded remarkable progress,and their color-conversion applications have shown considerable promise for commercialization.With the reporting of self-trapped exciton(STE)emission in perovskites,the application of metal halides as broadband emitting materials in the lighting field has gained increas-ing interest.Herein,we provide a comprehensive review of metal halide STE emitters,especially for lighting applications.We begin with highlighting the ideal spectral characteristics and corresponding performance metrics for lighting.This is followed by a systematic summary of the mechanisms,optimization strategies,and recent advances of STE emission in metal halides.Finally,we outline the major challenges and prospective trends for metal halide STE emitters.This review aims to offer valuable insights into metal halide STE emitters and their lighting applications for facilitating the future commercialization.
文摘Whole Slide Imaging (WSI) technology, as a revolutionary digital technology in the field of pathology, is gradually changing the traditional clinical pathological diagnosis model. By converting traditional glass pathological sections into complete digital images through high-resolution scanning, it provides a new method for pathological diagnosis. Based on this, this paper studies the application of WSI technology in clinical pathological diagnosis, elaborates on its application value, analyzes the current application status, and proposes corresponding application countermeasures, aiming to provide reference for the standardized and popularized development of this technology in clinical pathological diagnosis.
基金supported by the National Natural Science Foundation of China(21706052,22278114)Natural Science Foundation of Henan Province(242300421575).
文摘Lignin,the most abundant natural aromatic polymer globally,has garnered considerable interest due to its rich and diverse active functional groups and its antioxidant,antimicrobial,and adhesive properties.Recent research has significantly improved the performance of lignin-based hydrogels,suggesting their substantial potential in fields such as biomedicine,environmental science,and agriculture.This paper reviews the process of lignin extraction,systematically introduces synthesis strategies for preparing lignin-based hydrogels,and discusses the current state of research on these hydrogels in biomedical and environmental protection fields.It concludes by identifying the existing challenges in lignin hydrogel research and envisioning future prospects and development trends.
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.
文摘The escalating global crisis of antibiotic resistance necessitates urgent development of novel antimicrobial agents.In this context,antimicrobial peptides(AMPs)derived from fish emerge as a highly promising strategic resource,owing to their unique structural diversity and the exceptional adaptability and tolerance conferred by evolutionary pressures in aquatic environments.This review systematically synthesizes key advances in fish-derived AMP research.It details their diverse sourcing avenues,encompassing tissues from live fish(e.g.,skin,mucus,gills,intestines)and processing byproducts(e.g.,scales,skins,viscera).The discussion covers efficient isolation,purification,and synthesis strategies,and critically examines their defining feature:unique multi-target synergistic antimicrobial mechanisms(including microbial membrane disruption,intracellular targeting,and immunomodulation),which contribute to a reduced propensity for resistance development.To address inherent limitations of natural AMPs(such as susceptibility to proteolysis and potential toxicity),the review highlights innovative optimization approaches,including computational-aided rational design,amino acid modification,cyclization,and hybrid peptide construction.Furthermore,the review elaborates on their significant application potential across crucial domains:food preservation(inhibiting spoilage organisms,extending shelf-life),sustainable aquaculture(as antibiotic alternatives,enhancing disease resistance,improving water quality),and the development of novel anti-infective therapeutics(particularly against drug-resistant infections).Therefore,this work aims to provide a comprehensive theoretical foundation and innovative strategic insights to foster in-depth research and the sustainable exploitation of this vital strategic biological resource.
基金supported by the National Natural Science Foundation of China(NSFC No.52271228)the Natural Science Foundation of Shaanxi Province(No.2023-JC-ZD-21)the Doctoral Dissertation Innovation Fund of Xi'an University of Technology(No.101-252072301)。
文摘Graphitic carbon nitride(g-CN)stands out as the most promising candidate for solar energy conversion owing to its easy preparation,metal-free nature,flexible molecular structure,moderate bandgap,and excellent thermal/chemical stability.To enhance the performance of intrinsic g-CN,a supramolecular self-assembly strategy has been proposed to regulate the molecular structure of supramolecular precursors through non-covalent interactions across molecular building blocks,thereby optimizing the electronic structure of g-CN.This review provides a comprehensive overview of the recent progress in supramolecular self-assembly-derived graphitic carbon nitride(SM-CN)from both experimental and theoretical computational research in synthesis strategies,including synthesis methods and influencing factors,providing a theoretical foundation for the design of supramolecular assembly.It also discusses modification strategies,such as internal modification of the conjugated plane,interlayer optimization,and construction of heterointerfaces to improve the electronic structure of SM-CN owing to its unique layered structure.This review further summarizes the applications of SM-CN in environment and energy,including wastewater treatment,sterilization and disinfection/air purification,water splitting,H_(2)O_(2)production,organic synthesis/biomass conversion,CO_(2)reduction,photocatalytic coupling technology.Finally,perspectives and outlooks for the future development of SM-CN aim to inspire further innovation in the design and construction of high-performance SM-CN for broader applications.
基金financially supported by the Shandong Province Natural Science Foundation(No.ZR2023ME181)the National Natural Science Foundation of China(No.52305313)the Natural Science Foundation of Hunan Province(Nos.2023JJ40553 and 2023JJ60433)。
文摘Biodegradable metals(BMs)have shown significant potential for applications in the field of orthopedic implants.These materials gradually degrade after implantation,eventually disappear without residue,provide necessary mechanical support during degradation,and closely integrate with bone tissues.Fe-based BMs are particularly notable for their good mechanical properties and biocompatibility.However,their slow degradation rate is a limitation.The emergence of Mn-incorporated Fe-based alloys(Fe-Mn alloys)offers the possibilities for addressing issues of slow degradation rate and incompatibility of magnetic resonance imaging(MRI)for Fe alloys.This review summarizes the advantages of Fe-Mn alloys as orthopedic implants,and the cutting-edge advances in degradation,mechanical and magnetic properties,and osteogenic performance.The cytotoxicity issue is addressed for the porous structured Fe-Mn alloys caused by the enrichment of manganese ions,and thus the main challenge and the development are involved for the Fe-Mn alloys to achieve a balance among biocompatibility,structure,and degradation rate.Also the perspectives are proposed for Fe-Mn alloys as orthopedic implants.
文摘Ulva lactuca whole components served as a carbon source for high-density fermentation of Bifidobacterium,yielding a low-cost,highly biocompatible Ulva lactuca bifidobacterium ferment filtrate(ULBFF).Its peptide profile and molecular weight distribution were characterized by LC/MS.Cosmetic potential was systematically evaluated through stability testing,HET-CAM test,ABTS+∙/DPPH∙scavenging,NO inhibition,melanin suppression,and type Ⅰ collagen promotion.The results indicated a rich distribution of peptides,predominantly low-molecular-weight oligopeptides,with 92.92%of peptides containing≤20 amino acids and 84.89%of components having a molecular weight<500 Da.Formulations exhibited excellent stability and low irritation.Furthermore,they showed significantly enhanced efficacy in key areas,including antioxidant and antiinflammatory activity,melanin suppression,and collagen promotion.The ULBFF improved multifunctional performance while maintaining formulation stability and safety,demonstrating high scalability and potential for marine bioresource utilization in functional cosmetics.
基金the Deanship of Graduate Studies and Scientific Research at University of Bisha for supporting this work through the Fast-Track Research Support Programthe Deanship of Scientific Research at Northern Border University,Arar,KSA for funding this research work through the project number“NBU-FFR-2025-2903-09”.
文摘Network-on-Chip(NoC)systems are progressively deployed in connecting massively parallel megacore systems in the new computing architecture.As a result,application mapping has become an important aspect of performance and scalability,as current trends require the distribution of computation across network nodes/points.In this paper,we survey a large number of mapping and scheduling techniques designed for NoC architectures.This time,we concentrated on 3D systems.We take a systematic literature review approach to analyze existing methods across static,dynamic,hybrid,and machine-learning-based approaches,alongside preliminary AI-based dynamic models in recent works.We classify them into several main aspects covering power-aware mapping,fault tolerance,load-balancing,and adaptive for dynamic workloads.Also,we assess the efficacy of each method against performance parameters,such as latency,throughput,response time,and error rate.Key challenges,including energy efficiency,real-time adaptability,and reinforcement learning integration,are highlighted as well.To the best of our knowledge,this is one of the recent reviews that identifies both traditional and AI-based algorithms for mapping over a modern NoC,and opens research challenges.Finally,we provide directions for future work toward improved adaptability and scalability via lightweight learned models and hierarchical mapping frameworks.
基金support from the Research Foundation for Talented Scholars of Linyi University(Z6122010).
文摘Global water scarcity and pollution present critical challenges for human society.Solar-driven wastewater treatments,such as photocatalytic degradation of organic pollutants and photothermal conversion water evaporation,offer promising solutions.TiO_(2)has garnered extensive attention in these fields,but its large bandgap limits light absorption,affecting its performance and broader applications in energy and environmental fields.Consequently,modifying TiO_(2)to improve its photocatalytic and photothermal conversion performance has become a research hotspot.Among various modification strategies,self-doping with Ti^(3+)and oxygen vacancies can reduce the bandgap of TiO_(2),improve sunlight utilization,and increase the separation efficiency of photogenerated electron-hole pairs,thereby significantly enhancing the photocatalytic and photothermal conversion performance.This review focuses on the inorganic chemical reduction methods for preparing Ti^(3+)/oxygen vacancies self-doped TiO_(2)and their current applications in solar-driven photothermal conversion water evaporation.It highlights the challenges faced during synthesis and application while offering insights into future development prospects.This review is expected to provide a valuable reference for further research on the preparation and application of Ti^(3+)/oxygen vacancies self-doped TiO_(2).
基金supported by the National Natural Science Foundation of China(Grant No.82404074)the Science and Technology Major Project(Grant No.2024ZD0519805).
文摘Breast cancer is the most common malignant tumor among women globally and poses a major public health challenge due to limitations in traditional diagnostic and treatment processes,such as subjective interpretation biases and inefficient multidimensional data integration.Artificial intelligence(AI),particularly deep learning and machine learning technologies,has emerged as a transformative tool in addressing these issues.Clinically,AI has been widely applied in imaging screening to improve detection rates and reduce reading time,digital pathology for precise tumor typing and gene mutation prediction,treatment decisionsupport systems to enhance guideline compliance,and drug research and development to accelerate target identification and virtual screening.Despite these achievements,AI implementation faces challenges,such as data standardization issues,limited model generalization,low clinical accessibility,and unclear ethical-legal responsibilities,which require targeted solutions that include national data standards,multi-center training,hierarchical physician training,and explainable AI.Future directions involve multimodal data integration,human-AI collaborative multidisciplinary team models,and extension to full-cycle health management from prevention-to-rehabilitation.This review provides a systematic overview of the role of AI in breast cancer care,offering insights for clinical practice and scientific research innovation,and supporting the transition toward personalized and intelligent medicine in oncology.
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.
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.
基金funded by Sichuan Science and Technology Program,grant numbers 2021YFYZ0010,2023YFH0006,2025YFHZ0295The Basic Research Program of Sichuan Provincial Research Institutes,grant numbers 2024JDKY0001 and 2023JDKY0001.
文摘The genus Actinidia is primarily functionally dioecious,and early sex identification plays a crucial role in improving breeding efficiency and reducing production costs.In this study,the accuracy of three sex-linked molecular markers(SyGI[Shy Girl],FrBy[Friendly Boy],and SmY1)in sex identification was evaluated in various Actinidia species.The selected marker products were subsequently cloned and sequenced in six wild Actinidia species.Ninety-six wild A.chinensis chinensis accessions and 74 A.chinensis deliciosa accessions,most of which were wild,with only one cultivated,were used for comprehensive primer validation.Thirty-three juvenile A.chinensis chinensis hybrid seedlings were used for practical application tests.The results showed that the marker SyGI accurately identified the sex of 20 samples from six Actinidia species and 96 A.chinensis chinensis accessions with 100%reliability.For Actinidia chinensis deliciosa,the identification accuracy reached 98.65%.Sequence analysis revealed that SyGI shared the highest similarity with the male-specific genomic region.Furthermore,SyGI achieved 100%accuracy in identifying the sex of 33 juvenile A.chinensis chinensis individuals.The findings confirm that the SyGI marker possesses high accuracy,strong specificity,and broad applicability,making it a valuable tool for kiwifruit breeding programs.The cloned sequences from wild Actinidia species also provide important references for future research on the mechanisms of sexual evolution and determination.
基金funded by the Zhejiang Provincial Key Science and Technology“LingYan”Project Foundation,grant number 2023C01145Zhejiang Gongshang University Higher Education Research Projects,grant number Xgy22028.
文摘With the deep integration of smart manufacturing and IoT technologies,higher demands are placed on the intelligence and real-time performance of industrial equipment fault detection.For industrial fans,base bolt loosening faults are difficult to identify through conventional spectrum analysis,and the extreme scarcity of fault data leads to limited training datasets,making traditional deep learning methods inaccurate in fault identification and incapable of detecting loosening severity.This paper employs Bayesian Learning by training on a small fault dataset collected from the actual operation of axial-flow fans in a factory to obtain posterior distribution.This method proposes specific data processing approaches and a configuration of Bayesian Convolutional Neural Network(BCNN).It can effectively improve the model’s generalization ability.Experimental results demonstrate high detection accuracy and alignment with real-world applications,offering practical significance and reference value for industrial fan bolt loosening detection under data-limited conditions.
基金financially supported by the National Natural Science Foundation of China(52127811,51975120)the Postgraduate Research&Practice Innovation Program of Jiangsu Province(SJCX25_0096)。
文摘The rise of portable electronic devices and Internet of Things(IoT)has spurred significant interest in flexible triboelectric nanogenerators(TENGs)as sustainable energy solutions.The electrical performance of TENGs is profoundly influenced by nanoscale factors,including interface properties and material characteristics,highlighting the critical need for a comprehensive understanding of these parameters to unlock their full potential.This paper summarizes the recent advances in advanced fiber composite TENGs(FC-TENGs),especially electrospun nanofibers,with a focus on key nanoscale properties,covering triboelectric layer interface characteristics,dielectric constant,electron affinity,and crystal phase,all of which are fundamental to optimizing their output performance.Additionally,it explores emerging applications of FC-TENGs in wearable electronics,self-powered sensors,wireless communication systems,human-machine interfaces,and modern healthcare technologies.The review concludes by addressing existing challenges,evaluating future opportunities,and outlining research directions for advancing FC-TENGs.By bridging foundational material science with innovative applications,this review seeks to inspire the development of high-performance,self-powered electrospun composite tribovoltaic nanogenerators,paving the way for a wireless,artificial intelligence(AI)-enabled IoT era.
文摘Objective: To analyze the impact of whole-process nursing on the rescue of emergency critically ill patients by setting a control group and an experimental group and comparing their experimental results. Methods: A total of 50 critically ill patients admitted to the Emergency Department from October 2022 to October 2023 were randomly divided into the experimental group (25 cases) and the control group (25 cases). The control group received routine nursing, while the experimental group received whole-process nursing. The rescue success rate and nursing satisfaction were compared between the two groups. Results: In the experimental group, 24 patients were rescued successfully, with a success rate of 96%;in the control group, 19 patients were rescued successfully, with a success rate of 76%, showing a significant difference (χ2 = 4.1528, p = 0.0415 < 0.05). The nursing satisfaction was 92% in the experimental group and 68% in the control group. Conclusion: Whole-process nursing can effectively improve the rescue success rate of critically ill patients, enhance the satisfaction of patients and their families, and improve patients’ quality of life.
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.
文摘AIM:To assess the success rate of lacrimal sac hydrostatic pressure application(HPA)maneuver,a conservative office procedure for treatment of congenital nasolacrimal duct obstruction(CNLDO).METHODS:The medical records of pediatric patients,36mo old or younger,diagnosed with CNLDO between the years 2016-2022,were retrospectively reviewed.In all children,HPA was performed by a pediatric ophthalmologist.Success was defined as the resolution of epiphora and discharge within 48h of the intervention.RESULTS:A total of 281 eyes(194 patients)with CNLDO underwent HPA.Follow-up data were available for 261 eyes(179 patients,50.3%male)and these patients were included in the analysis.The mean follow-up time was 11.6±13mo.Ninety-seven patients(54.2%)had unilateral nasolacrimal duct obstruction,while 82 patients(45.8%)had bilateral CNLDO.The mean age at the time of HPA was 5.8±5.9mo.Complete resolution of symptoms was achieved in 102(39.1%)eyes.Patients 6mo old or younger at the time of HPA had a significantly higher success rate compared to patients older than 6mo(43.7%vs 30.9%,P=0.04).Younger age at the time of pressure application was associated with a higher resolution rate of CNLDO(OR 0.93,P=0.004).Sex assigned at birth,prematurity,laterality of the obstruction and type of symptoms(epiphora,discharge)were not correlated with success.A second HPA was performed in 46 eyes,with resolution of symptoms in 12 eyes(26.1%).CONCLUSION:Hydrostatic pressure applied on the lacrimal sac by an experienced ophthalmologist or an experienced pediatrician may be an effective treatment for CNLDO.We recommend HPA as an initial active conservative approach in all pediatric patients with CNLDO,especially those younger than 6mo.
