Biomass-derived carbon materials are favored for their abundance and sustainability,and ease of preparation and modification.By surface activation and modification they can have a good electrical conductivity,excellen...Biomass-derived carbon materials are favored for their abundance and sustainability,and ease of preparation and modification.By surface activation and modification they can have a good electrical conductivity,excellent catalytic activity,a remarkable adsorption capacity,and different interfacial physicochemical functionalities.Surface-modified biochars have found wide applications in energy storage,environmental remediation,and catalysis.However,achieving precise and controllable modification of their active sites remains a challenge.Recent advances and future prospects for controlling their surface morphology,defect engineering,and surface coating strategies,with particular attention to their means of fabrication,are reviewed.展开更多
Malignant melanoma(MM)is a highly aggressive skin cancer known for its rapid progression,potential for metastasis,and resistance to treatment.Despite advances in targeted therapies and immunotherapy,the prognosis for ...Malignant melanoma(MM)is a highly aggressive skin cancer known for its rapid progression,potential for metastasis,and resistance to treatment.Despite advances in targeted therapies and immunotherapy,the prognosis for metastatic melanoma remains unfavorable.Recent research has shed light on the significance of epigenetic modifications in the pathogenesis of melanoma,revealing critical mechanisms of melanoma development and progression.Epigenetic modifications,including DNA and RNA modifications,histone modifications,chromatin remodeling,and non-coding RNA regulation,disrupt normal gene expression without modifying the DNA sequence,leading to cellular transformation,invasion,immune evasion,and therapeutic resistance.The reversible nature of epigenetic modifications opens up new opportunities for melanoma recognition and classification,as well as therapeutic applications,including the development of diagnostic and prognostic biomarkers and innovative targeted therapies aimed at restoring normal gene function and enhancing the efficacy of existing treatments.This review will focus on the multifaceted role of epigenetic dysregulation in melanoma.The future integration of epigenetic data and genomic profiling with clinical outcomes,likely facilitated by artificial intelligence(AI)algorithms,holds promise for personalized treatment strategies that are informed by precise and combinatorial diagnostic tools,ultimately improving melanoma care.The study aims to deliver a comprehensive overview of the current state of epigenetics in melanoma.展开更多
The network structure of M_(2)B in Fe-B-C alloy readily leads to the failure of material.In this work,by adding K2_SO4,the morphology of the M_(2)B was successfully regulated through a synergistic treatment combining ...The network structure of M_(2)B in Fe-B-C alloy readily leads to the failure of material.In this work,by adding K2_SO4,the morphology of the M_(2)B was successfully regulated through a synergistic treatment combining active element modification and heterogeneous nucleation modification.The results show that after the addition of K_(2)SO_(4),a new phaseα-MnS forms in the alloy,and the active element K enriches at the M_(2)B/matrix interface.This inhibits the growth of the network M_(2)B and promotes its transformation from a continuous network structure to an isolated blocky structure.As the K_(2)SO_(4) addition increases from 0wt.%to 4.46wt.%,the shape factor value of M_(2)B increases from 0.067 to 0.353,with an increase of 426%.The impact toughness of the alloy increases from 5.9 J·cm^(-2)to 14.2 J·cm^(-2),and the fracture mode transitions from cleavage fracture to ductile-cleavage mixed fracture.Three-body abrasion tests indicate that with increasing K_(2)SO_(4) addition,the wear weight loss of the alloy gradually decreases.The alloy with 4.46wt.%K_(2)SO_(4) addition exhibits the least wear damage and the best wear resistance.This work provides an effective approach for regulating the microstructure and improving the wear resistance of wear-resistant Fe-B-C alloys.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
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
Bentonite is a necessary binder in producing pellets.Its excessive use reduces the iron grade of pellets and increases production costs.Minimizing bentonite dosage is essential for producing high-quality iron ore pell...Bentonite is a necessary binder in producing pellets.Its excessive use reduces the iron grade of pellets and increases production costs.Minimizing bentonite dosage is essential for producing high-quality iron ore pellets.Addressing the gap in the application of organically-intercalated modified bentonite in the pelletizing field,this study introduces an innovative modification process for bentonite that employs the synergistic effect of mechanical force and dimethyl sulfoxide to enhance the intercalation of organic compounds within bentonite,thus significantly enhancing its binding performance.The colloid value and swell capacity of modified bentonite(98.5 m L/3g and 55.0 m L/g)were much higher than the original bentonite(90.5 m L/3g and 17.5 m L/g).With the decrease of bentonite dosage from1.5wt%to 1.0wt%,the drop number of green pellets from a height of 0.5 m and the compressive strengths of roasted pellets using the modified bentonite(6.0 times and 2916 N per pellet)were significantly higher than those of the original bentonite(4.0 times and 2739 N per pellet).This study provides a comprehensive analysis of the intercalation modification mechanism of bentonite,offering crucial technical insights for the development of high-performance modified bentonite as iron ore pellet binders.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 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
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
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
Radiative cooling systems(RCSs)possess the distinctive capability to dissipate heat energy via solar and thermal radiation,making them suitable for thermal regulation and energy conservation applications,essential for...Radiative cooling systems(RCSs)possess the distinctive capability to dissipate heat energy via solar and thermal radiation,making them suitable for thermal regulation and energy conservation applications,essential for mitigating the energy crisis.A comprehensive review connecting the advancements in engineered radiative cooling systems(ERCSs),encompassing material and structural design as well as thermal and energy-related applications,is currently absent.Herein,this review begins with a concise summary of the essential concepts of ERCSs,followed by an introduction to engineered materials and structures,containing nature-inspired designs,chromatic materials,meta-structural configurations,and multilayered constructions.It subsequently encapsulates the primary applications,including thermal-regulating textiles and energy-saving devices.Next,it highlights the challenges of ERCSs,including maximized thermoregulatory effects,environmental adaptability,scalability and sustainability,and interdisciplinary integration.It seeks to offer direction for forthcoming fundamental research and industrial advancement of radiative cooling systems in real-world applications.展开更多
High-entropy layered hydroxides(HELHs),an emerging frontier in entropy-stabilized materials derived from layered double hydroxides(LDHs),have captivated attention with their unparalleled tunability,thermodynamic stabi...High-entropy layered hydroxides(HELHs),an emerging frontier in entropy-stabilized materials derived from layered double hydroxides(LDHs),have captivated attention with their unparalleled tunability,thermodynamic stability,and electrochemical performance.The integration of the high-entropy concept into LDHs empowers HELHs to surmount the constraints of conventional materials through compositional diversity,structurally disordered configurations,and synergistic multi-element interactions.This review systematically embarks on their synthesis methodologies,functional mechanisms,and applications in energy conversion/storage and biomedicine.Advanced synthesis strategies,such as plasma-assisted hydrothermal methods,facilitate precise control over HELH architectures while supporting scalable production.HELHs demonstrate superior electrochemical performance in critical reactions,including oxygen evolution reaction,water oxidation,hydrogen evolution,and glucose electrooxidation.Future directions encompass integrating in situ characterization with simulations,leveraging machine learning for composition screening,and expanding HELHs application through interdisciplinary collaborations.This work establishes a comprehensive roadmap for advancing HELHs as next-generation multifunctional platforms for sustainable energy and biomedical technologies.展开更多
Conjugated microporous polymers(CMPs)are a unique class of organic porous materials characterized byπ-conjugated structures and permanent micropores,distinguishing them from non-porous polymers and conventionalπ-con...Conjugated microporous polymers(CMPs)are a unique class of organic porous materials characterized byπ-conjugated structures and permanent micropores,distinguishing them from non-porous polymers and conventionalπ-conjugated polymers.CMPs offer extensive versatility in synthetic approaches,enabling the synthesis of cross-linked and mesoporous structures.Advances in chemical processes,structural design,and synthesis methodologies have been developed,resulting in a diverse range of CMPs with unique configurations and properties,contributing to the fast expansion of the field.CMPs are particularly notable for their ability to enable the competitive utilization ofπ-conjugated structures within mesoporous configurations,making them valuable for investigations across various domains.They have shown considerable promise in addressing fuel and environmental challenges,demonstrated by their exceptional performance in applications such as vapor adsorption,heterogeneous catalysis,light emission,light harvesting,and energy generation.This review examines the chemical engineering principles underlying CMPs,including synthesis approaches,systemic research advancements,multifunctional investigations boundaries,potential applications,and progress in synthesis,dimensionality,and morphology studies.Specifically,it offers a comparative analysis of CMPs and linear polymeric materials,aiding in the development of functional polymers.Furthermore,this review explores the primary fundamental limitations of CMPs in fuel-related domains and discusses alternative strategies,including novel synthesis methods incorporating interactions and morphologies,to address these challenges.Ultimately,this assessment aims to provide a valuable and inspiring resource for professionals in the field of fuel management,guiding future research and development efforts.展开更多
Liver transplantation(LT)remains the optimal life-saving intervention for patients with end-stage liver disease.Despite the recent advances in LT several barriers,including organ allocation,donor-recipient matching,an...Liver transplantation(LT)remains the optimal life-saving intervention for patients with end-stage liver disease.Despite the recent advances in LT several barriers,including organ allocation,donor-recipient matching,and patient education,persist.With the growing progress of artificial intelligence,particularly large language models(LLMs)like ChatGPT,new applications have emerged in the field of LT.Current studies demonstrating usage of ChatGPT in LT include various areas of application,from clinical settings to research and education.ChatGPT usage can benefit both healthcare professionals,by decreasing the time spent on non-clinical work,but also LT recipients by providing accurate information.Future potential applications include the expanding usage of ChatGPT and other LLMs in the field of LT pathology and radiology as well as the automated creation of discharge summaries or other related paperwork.Additionally,the next models of ChatGPT might have the potential to provide more accurate patient education material with increased readability.Although ChatGPT usage presents promising applications,there are certain ethical and practical limitations.Key concerns include patient data privacy,information accuracy,misinformation possibility and lack of legal framework.Healthcare providers and policymakers should collaborate for the establishment of a controlled framework for the safe use of ChatGPT.The aim of this minireview is to summarize current literature on ChatGPT in LT,highlighting both opportunities and limitations,while also providing future possible applications.展开更多
Peptide-and drug-protected gold nanoclusters(Au NCs)with atomic precision have attracted research attention in the last few years owing to their ultrasmall size(<2 nm),well-defined structures,tunable photoluminesce...Peptide-and drug-protected gold nanoclusters(Au NCs)with atomic precision have attracted research attention in the last few years owing to their ultrasmall size(<2 nm),well-defined structures,tunable photoluminescence from the visible to near-infrared range,water solubility,and good biocompatibility.These features,combined with low toxicity and efficient renal clearance,make such Au NCs promising candidates for biomedical use,including diagnosis,therapy,and theranostic.The incorporation of peptides or drugs into Au NCs enhances the stability,targeting specificity,cellular uptake,and prolonged circulation,enabling precise modulation of biological responses.Despite notable advances in achieving atomic precision employing complex ligands such as peptides or drugs,the synthetic methods of this new class of NCs remain a challenge.Careful control of molar ratio(Au:peptide/drug),reducing agent,temperature,and reaction time is required,because these factors directly influence the cluster size,optical properties,and in vivo performance.In this review,we highlight different synthetic approaches of atomically precise peptide-and drug-protected Au NCs,emphasizing the role of rational ligand design and reaction conditions,as well as the challenges associated with structural determination.We further discuss the optical and photoluminescence properties of peptide-protected Au NCs-the mostly explored features for biomedical applications.Finally,we conclude by outlining the current challenges,opportunities for scale-up synthesis,and future design perspectives for these emerging nanomaterials.展开更多
With the rapid development of image-generative AI (artificial intelligence) technology, its application in undergraduate Landscape Architecture education has demonstrated significant potential. Based on this, the pres...With the rapid development of image-generative AI (artificial intelligence) technology, its application in undergraduate Landscape Architecture education has demonstrated significant potential. Based on this, the present study explores the implications of integrating image-generative AI into Landscape Architecture courses from three perspectives: stimulating students creative design potential, expanding approaches to form and concept generation, and enhancing the visualization of spatial scenes. Furthermore, it discusses application strategies from three dimensions: AI-assisted conceptual generation, human-machine collaboration for design refinement, and optimization of scheme presentation and evaluation. This paper aims to provide relevant educators with insights and references.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
文摘Biomass-derived carbon materials are favored for their abundance and sustainability,and ease of preparation and modification.By surface activation and modification they can have a good electrical conductivity,excellent catalytic activity,a remarkable adsorption capacity,and different interfacial physicochemical functionalities.Surface-modified biochars have found wide applications in energy storage,environmental remediation,and catalysis.However,achieving precise and controllable modification of their active sites remains a challenge.Recent advances and future prospects for controlling their surface morphology,defect engineering,and surface coating strategies,with particular attention to their means of fabrication,are reviewed.
文摘Malignant melanoma(MM)is a highly aggressive skin cancer known for its rapid progression,potential for metastasis,and resistance to treatment.Despite advances in targeted therapies and immunotherapy,the prognosis for metastatic melanoma remains unfavorable.Recent research has shed light on the significance of epigenetic modifications in the pathogenesis of melanoma,revealing critical mechanisms of melanoma development and progression.Epigenetic modifications,including DNA and RNA modifications,histone modifications,chromatin remodeling,and non-coding RNA regulation,disrupt normal gene expression without modifying the DNA sequence,leading to cellular transformation,invasion,immune evasion,and therapeutic resistance.The reversible nature of epigenetic modifications opens up new opportunities for melanoma recognition and classification,as well as therapeutic applications,including the development of diagnostic and prognostic biomarkers and innovative targeted therapies aimed at restoring normal gene function and enhancing the efficacy of existing treatments.This review will focus on the multifaceted role of epigenetic dysregulation in melanoma.The future integration of epigenetic data and genomic profiling with clinical outcomes,likely facilitated by artificial intelligence(AI)algorithms,holds promise for personalized treatment strategies that are informed by precise and combinatorial diagnostic tools,ultimately improving melanoma care.The study aims to deliver a comprehensive overview of the current state of epigenetics in melanoma.
基金financially supported by the Natural Science Foundation of Guizhou Province(Grant No.:Qiankehe Foundation-ZK[2024]General 522)the Doctoral Research Start-up Fund of Guiyang University(Grant No.:GYUKY-[2025])+1 种基金the Young Talents Cultivation Program Project of Guangdong Association for Science and Technology(Grant No.:SKXRC2025059)the Fundamental Research Funds for the Central Universities(Grant No.:21625404)。
文摘The network structure of M_(2)B in Fe-B-C alloy readily leads to the failure of material.In this work,by adding K2_SO4,the morphology of the M_(2)B was successfully regulated through a synergistic treatment combining active element modification and heterogeneous nucleation modification.The results show that after the addition of K_(2)SO_(4),a new phaseα-MnS forms in the alloy,and the active element K enriches at the M_(2)B/matrix interface.This inhibits the growth of the network M_(2)B and promotes its transformation from a continuous network structure to an isolated blocky structure.As the K_(2)SO_(4) addition increases from 0wt.%to 4.46wt.%,the shape factor value of M_(2)B increases from 0.067 to 0.353,with an increase of 426%.The impact toughness of the alloy increases from 5.9 J·cm^(-2)to 14.2 J·cm^(-2),and the fracture mode transitions from cleavage fracture to ductile-cleavage mixed fracture.Three-body abrasion tests indicate that with increasing K_(2)SO_(4) addition,the wear weight loss of the alloy gradually decreases.The alloy with 4.46wt.%K_(2)SO_(4) addition exhibits the least wear damage and the best wear resistance.This work provides an effective approach for regulating the microstructure and improving the wear resistance of wear-resistant Fe-B-C alloys.
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.
基金supported by the National Natural Science Foundation of China(Grant No.32160172)the Key Science-Technology Project of Inner Mongolia(2023KYPT0010)+1 种基金the Natural Science Foundation of Inner Mongolia Autonomous Region of China(Grant No.2025QN03006)the 2023 Inner Mongolia Public Institution High-Level Talent Introduction Scientific Research Support Project.
文摘Environmental DNA(eDNA)technology has revolutionized biodiversity monitoring with its non-invasive,sensitive,and cost-efficient approach.This paper systematically reviews eDNA advancements,examining its applications in aquatic and terrestrial ecosystems and assessing China’s standardization progress.It delineates four developmental phases from single-species detection to high-throughput sequencing,and highlights China’s contribution to the development of technical standards.While significant progress has been made,challenges persist in quantitative accuracy,methodological consistency,and large-scale implementation.Future efforts should prioritize enhanced standardization,improved quantification techniques,broader applications,and international collaboration to drive innovation in eDNA technology.
基金financial support by the National Key Research and Development Program of China(No.2023YFC2907801)the Hunan Provincial Natural Science Foundation of China(No.2023JJ40760)the Scientific and Technological Project of Yunnan Precious Metals Laboratory,China(No.YPML-2023050276)。
文摘Bentonite is a necessary binder in producing pellets.Its excessive use reduces the iron grade of pellets and increases production costs.Minimizing bentonite dosage is essential for producing high-quality iron ore pellets.Addressing the gap in the application of organically-intercalated modified bentonite in the pelletizing field,this study introduces an innovative modification process for bentonite that employs the synergistic effect of mechanical force and dimethyl sulfoxide to enhance the intercalation of organic compounds within bentonite,thus significantly enhancing its binding performance.The colloid value and swell capacity of modified bentonite(98.5 m L/3g and 55.0 m L/g)were much higher than the original bentonite(90.5 m L/3g and 17.5 m L/g).With the decrease of bentonite dosage from1.5wt%to 1.0wt%,the drop number of green pellets from a height of 0.5 m and the compressive strengths of roasted pellets using the modified bentonite(6.0 times and 2916 N per pellet)were significantly higher than those of the original bentonite(4.0 times and 2739 N per pellet).This study provides a comprehensive analysis of the intercalation modification mechanism of bentonite,offering crucial technical insights for the development of high-performance modified bentonite as iron ore pellet binders.
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.
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.
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 Contract Research(“Development of Breathable Fabrics with Nano-Electrospun Membrane”,CityU ref.:9231419“Research and application of antibacterial and healing-promoting smart nanofiber dressing for children’s burn wounds”,CityU ref:PJ9240111)+1 种基金the National Natural Science Foundation of China(“Study of Multi-Responsive Shape Memory Polyurethane Nanocomposites Inspired by Natural Fibers”,Grant No.51673162)Startup Grant of CityU(“Laboratory of Wearable Materials for Healthcare”,Grant No.9380116).
文摘Radiative cooling systems(RCSs)possess the distinctive capability to dissipate heat energy via solar and thermal radiation,making them suitable for thermal regulation and energy conservation applications,essential for mitigating the energy crisis.A comprehensive review connecting the advancements in engineered radiative cooling systems(ERCSs),encompassing material and structural design as well as thermal and energy-related applications,is currently absent.Herein,this review begins with a concise summary of the essential concepts of ERCSs,followed by an introduction to engineered materials and structures,containing nature-inspired designs,chromatic materials,meta-structural configurations,and multilayered constructions.It subsequently encapsulates the primary applications,including thermal-regulating textiles and energy-saving devices.Next,it highlights the challenges of ERCSs,including maximized thermoregulatory effects,environmental adaptability,scalability and sustainability,and interdisciplinary integration.It seeks to offer direction for forthcoming fundamental research and industrial advancement of radiative cooling systems in real-world applications.
基金the financial support by Advanced Materials-National Science and Technology Major Project(2024ZD0607400)the National Natural Science Foundation of China(No.52402305)+4 种基金the high-level innovation and entrepreneurship talent project of Qinchuangyuan(No.QCYRCXM-2023-084)the Postdoctoral Fellowship Program of CPSF under Grant Number GZB20230570 and 2024M752552Key projects of Shaanxi Province,China(2023GXLH-001)Natural Science Basic Research Program of Shaanxi(Program No.2024JCYBQN-0494,No.2022TD-27)the State Key Laboratory for Electrical Insulation and Power Equipment(No.EIPE23125)。
文摘High-entropy layered hydroxides(HELHs),an emerging frontier in entropy-stabilized materials derived from layered double hydroxides(LDHs),have captivated attention with their unparalleled tunability,thermodynamic stability,and electrochemical performance.The integration of the high-entropy concept into LDHs empowers HELHs to surmount the constraints of conventional materials through compositional diversity,structurally disordered configurations,and synergistic multi-element interactions.This review systematically embarks on their synthesis methodologies,functional mechanisms,and applications in energy conversion/storage and biomedicine.Advanced synthesis strategies,such as plasma-assisted hydrothermal methods,facilitate precise control over HELH architectures while supporting scalable production.HELHs demonstrate superior electrochemical performance in critical reactions,including oxygen evolution reaction,water oxidation,hydrogen evolution,and glucose electrooxidation.Future directions encompass integrating in situ characterization with simulations,leveraging machine learning for composition screening,and expanding HELHs application through interdisciplinary collaborations.This work establishes a comprehensive roadmap for advancing HELHs as next-generation multifunctional platforms for sustainable energy and biomedical technologies.
基金supported by the King Khalid University,Abha,Saudi Arabiathe Deanship of Scientific Research at King Khalid University for funding this work through Large Groups Project under grant number(R.G.P.2/335/46)the Guangdong Office of Research Projects at the Provincial University(No.2024KCXTD064)。
文摘Conjugated microporous polymers(CMPs)are a unique class of organic porous materials characterized byπ-conjugated structures and permanent micropores,distinguishing them from non-porous polymers and conventionalπ-conjugated polymers.CMPs offer extensive versatility in synthetic approaches,enabling the synthesis of cross-linked and mesoporous structures.Advances in chemical processes,structural design,and synthesis methodologies have been developed,resulting in a diverse range of CMPs with unique configurations and properties,contributing to the fast expansion of the field.CMPs are particularly notable for their ability to enable the competitive utilization ofπ-conjugated structures within mesoporous configurations,making them valuable for investigations across various domains.They have shown considerable promise in addressing fuel and environmental challenges,demonstrated by their exceptional performance in applications such as vapor adsorption,heterogeneous catalysis,light emission,light harvesting,and energy generation.This review examines the chemical engineering principles underlying CMPs,including synthesis approaches,systemic research advancements,multifunctional investigations boundaries,potential applications,and progress in synthesis,dimensionality,and morphology studies.Specifically,it offers a comparative analysis of CMPs and linear polymeric materials,aiding in the development of functional polymers.Furthermore,this review explores the primary fundamental limitations of CMPs in fuel-related domains and discusses alternative strategies,including novel synthesis methods incorporating interactions and morphologies,to address these challenges.Ultimately,this assessment aims to provide a valuable and inspiring resource for professionals in the field of fuel management,guiding future research and development efforts.
文摘Liver transplantation(LT)remains the optimal life-saving intervention for patients with end-stage liver disease.Despite the recent advances in LT several barriers,including organ allocation,donor-recipient matching,and patient education,persist.With the growing progress of artificial intelligence,particularly large language models(LLMs)like ChatGPT,new applications have emerged in the field of LT.Current studies demonstrating usage of ChatGPT in LT include various areas of application,from clinical settings to research and education.ChatGPT usage can benefit both healthcare professionals,by decreasing the time spent on non-clinical work,but also LT recipients by providing accurate information.Future potential applications include the expanding usage of ChatGPT and other LLMs in the field of LT pathology and radiology as well as the automated creation of discharge summaries or other related paperwork.Additionally,the next models of ChatGPT might have the potential to provide more accurate patient education material with increased readability.Although ChatGPT usage presents promising applications,there are certain ethical and practical limitations.Key concerns include patient data privacy,information accuracy,misinformation possibility and lack of legal framework.Healthcare providers and policymakers should collaborate for the establishment of a controlled framework for the safe use of ChatGPT.The aim of this minireview is to summarize current literature on ChatGPT in LT,highlighting both opportunities and limitations,while also providing future possible applications.
基金RGM is grateful to CNPq for the PDE fellowship(200437/2025-9),MTM acknowledges CNPq research scholarship(314470/2023-9)FAPESP fundings(2022/01825-22025/063196).
文摘Peptide-and drug-protected gold nanoclusters(Au NCs)with atomic precision have attracted research attention in the last few years owing to their ultrasmall size(<2 nm),well-defined structures,tunable photoluminescence from the visible to near-infrared range,water solubility,and good biocompatibility.These features,combined with low toxicity and efficient renal clearance,make such Au NCs promising candidates for biomedical use,including diagnosis,therapy,and theranostic.The incorporation of peptides or drugs into Au NCs enhances the stability,targeting specificity,cellular uptake,and prolonged circulation,enabling precise modulation of biological responses.Despite notable advances in achieving atomic precision employing complex ligands such as peptides or drugs,the synthetic methods of this new class of NCs remain a challenge.Careful control of molar ratio(Au:peptide/drug),reducing agent,temperature,and reaction time is required,because these factors directly influence the cluster size,optical properties,and in vivo performance.In this review,we highlight different synthetic approaches of atomically precise peptide-and drug-protected Au NCs,emphasizing the role of rational ligand design and reaction conditions,as well as the challenges associated with structural determination.We further discuss the optical and photoluminescence properties of peptide-protected Au NCs-the mostly explored features for biomedical applications.Finally,we conclude by outlining the current challenges,opportunities for scale-up synthesis,and future design perspectives for these emerging nanomaterials.
基金Supported by Applied Brand Course of Mianyang Teacher's College(Investigation and Monitoring of Natural Resources).
文摘With the rapid development of image-generative AI (artificial intelligence) technology, its application in undergraduate Landscape Architecture education has demonstrated significant potential. Based on this, the present study explores the implications of integrating image-generative AI into Landscape Architecture courses from three perspectives: stimulating students creative design potential, expanding approaches to form and concept generation, and enhancing the visualization of spatial scenes. Furthermore, it discusses application strategies from three dimensions: AI-assisted conceptual generation, human-machine collaboration for design refinement, and optimization of scheme presentation and evaluation. This paper aims to provide relevant educators with insights and references.
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.
