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Thoughts on the scientific research of the connotation of traditional Chinese medicine patterns 认领 引用
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作者 Kang Xie Yulin Ouyang +1 位作者 Yong Wang Chun Li 《Journal of Traditional Chinese Medical Sciences》 CAS CSCD 2026年第1期3-11,共9页
Traditional Chinese medicine(TCM)is a holistic medical system that classifies and treats diseases based on the concept of patterns.These patterns describe the pathophysiological process of a disease at a specific stag... Traditional Chinese medicine(TCM)is a holistic medical system that classifies and treats diseases based on the concept of patterns.These patterns describe the pathophysiological process of a disease at a specific stage,reflecting both external signs and internal features.TCM patterns are central to pattern differentiation,treatment,clinical practice,and theoretical development in TCM.However,scientific explanation of TCM patterns remains limited because of subjective diagnostic criteria,the absence of a standardized experimental medical system,and unclear biological mechanisms,which restrict the modernization and globalization of TCM.Addressing challenges such as strong subjectivity in diagnosis,lack of standardized experimental systems,and unclear biological mechanisms is necessary to clarify the scientific meaning of TCM patterns and to provide technical approaches for the modernization and globalization of TCM.A strategy focused on“pathogenic factors,genetic predisposition,and disease progression stages”was adopted.This approach included the following:(Ⅰ)constructing disease-pattern integrated biological models with animal models,organoids,and multi-organ chips;(Ⅱ)applying multi-omics technologies,such as spatial omics,single-cell omics,and dynamic metabolic flux omics;(Ⅲ)using artificial intelligence(AI)and big data for data integration and prediction of pattern evolution;and(Ⅳ)validating formula–pattern associations through the“pattern differentiation through formula efficacy”approach.These strategies directly address the main obstacles in TCM pattern research by providing objective,quantifiable,and reproducible methodologies.Constructing disease-pattern integrated models enabled cross-scale research platforms.Applying multi-omics technologies allowed analysis of complex biological bases.AI and big data approaches addressed challenges related to heterogeneous data.The“formula-based pattern differentiation”approach supported precise interventions and the development of new drugs.This interdisciplinary framework advances TCM pattern research by moving from empirical description to objective quantification.By integrating innovative approaches,the study establishes a foundation for systematic,evidence-based TCM diagnosis and treatment,supporting accuracy and promoting international recognition and modernization of TCM.The study shows that combining multi-omics technologies,AI-driven data analysis,and disease-pattern models enables objective quantification of TCM patterns and clarifies their biological mechanisms. 展开更多
关键词 Traditional Chinese medicine patterns Disease-pattern integrated model Multi-omics technology Artificial intelligence Pattern differentiation through formula efficacy
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Seasonal emission patterns of airborne phytoncides in temperate forests from autumn to early spring:a case study of Xishui National Forest Park(Yichun,Northeast China) 认领 引用
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作者 Hongda Cai Yitong Wang +6 位作者 Xianwen Huang Sen Zhang Yankun Liu Jian Zhang Dongmei Zhao Peng Zhao Xiuhua Zhao 《Journal of Forestry Research》 SCIE EI CAS CSCD 2026年第1期256-271,共16页
Xishui National Forest Park in Heilongjiang Province hosts China's most pristine temperate forests and serves as a key site for ecotourism and forest therapy.However,the emission patterns of phytoncides(key bio ac... Xishui National Forest Park in Heilongjiang Province hosts China's most pristine temperate forests and serves as a key site for ecotourism and forest therapy.However,the emission patterns of phytoncides(key bio active compounds) remain poorly understood,limiting their therapeutic application.This study provides the first comprehensive characterization of spatiotemporal dynamics in airborne phytoncides and their synergistic interactions with environmental factors throughout the autumn-early spring seasonal transition in a temperate forest ecosystem.We analyzed the compositional dynamics of phytoncides and terpenoid content variations using thermal desorption-gas chromatography-mass spectrometry(TD-GC-MS) from September 2024 to March 2025.This period encompassed seasonal transitions from autumn to early spring,including diurnal variations in September and snowfall events in November.The method demonstrated detection limits(LODs) ranging from 1.35 to 5.33 ng m-3 and quantification limits(LOQs) from 4.09 to 16.15 ng m-3.Our results revealed pronounced seasonal fluctuations in phytoncide composition.In September,terpenoids,esters,alcohols,and alkanes displayed a diurnal "decrease-increase" trend,whereas aldehydes and ketones peaked at midday.Notably,esters and alcohols were undetectable in November and January.By January,terpenoids reached their lowest proportion(0.17±0.02%) at noon.Five terpenoids(α-pinene,myrcene,D-limonene,camphene,p-cymene) were detected in September,four(α-pinene,D-limonene,camphene,p-cymene) in November,two(D-limonene,p-cymene) in January,and only p-cymene in March.The total concentration and emission rate of the five terpenoids peaked in September afternoons at 1961.58±106.67 ng m-3 and653.86±35.56 ng m-3 h-1,respectively.Nocturnal emissions(32131.95±2522.21 ng m-3) significantly surpassed daytime levels(14473.04±958.49 ng m-3),with emission rates escalating from 1447.30±95.85 ng m-3 h-1(day) to 5355.33±420.37 ng m-3 h-1(night),marking a3.7-fold increase.Snowfall dramatically elevated terpenoid concentrations(pre-snowfall:158.58±14.12 ng m-3;post-snowfall:1080.57±57.76 ng m-3) and emission rates(pre-snowfall:52.86±4.71 ng m-3 h-1;post-snowfall:360.19±19.25 ng m-3 h-1),reflecting a 6.8-fold surge.This study underscores the profound influence of light intensity,seasonal shifts,and climatic conditions on airborne phytoncide levels,offering a scientific foundation for optimizing forest therapy and ecotourism strategies. 展开更多
关键词 Phytoncides Seasonal variation Diurnal-nocturnal patterns Snowfall impact Emission patterns
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Guidelines for establishing animal models of rheumatoid arthritis with cold dampness obstruction pattern and damp heat obstruction pattern(2024 Version) 认领 引用
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作者 Na Lin Yanqiong Zhang +5 位作者 Changhong Xiao Shenghao Tu Jianning Sun Shijun Xu Xia Mao Representative working group 《Science of Traditional Chinese Medicine》 CAS CSCD 2026年第2期174-180,共7页
Rheumatoid arthritis belongs to arthralgia in the theory of traditional Chinese medicine,with cold dampness obstruction pattern(CDO)and damp heat obstruction pattern(DHO)as the main pattern types.Fine therapeutic effe... Rheumatoid arthritis belongs to arthralgia in the theory of traditional Chinese medicine,with cold dampness obstruction pattern(CDO)and damp heat obstruction pattern(DHO)as the main pattern types.Fine therapeutic effects have been obtained in clinical practice following the differentiation of CDO and DHO.However,suitable animal models are not available currently.For adapting to the clinical diagnosis,as well as carrying out basic research of integrated Chinese and Western medicine and preclinical study on new Chinese medicine in a better way,the“Guidelines for Establishing Animal Models of Rheumatoid Arthritis with Cold Dampness Obstruction Pattern and Damp Heat Obstruction Pattern”(referred to as“Guidelines”)were compiled by our research group in cooperation with renowned experts in clinical,pharmaceutical,zoological,and methodological research fields.According to the theory of disease and syndrome integration,experts standardized the establishment methods for animal models of rheumatoid arthritis with CDO and DHO.The Guidelines were compiled via the nominal group method according to the principle of evidence coming in main place,consensus as the auxiliary,and experience as the references.Contents such as animal species,arthritis induction methods,external stimulation conditions,and assessment indicators were specified in the Guidelines based on the comprehensive evaluation of pathogenesis homology,behavioral phenotypic consistency,and drug therapy predictability between animal models and human diseases.The Guidelines will be applicable to the research on syndromes in rheumatoid arthritis,elucidation of acting mechanism,and development of new medicine,and provide reference for standardizing other types of animal models with the integration of disease and syndrome,to promote the modernization of Chinese medicine research. 展开更多
关键词 Animal model Cold dampness obstruction pattern Damp heat obstruction pattern Guidelines Rheumatoid arthritis
Morphological changes and gibberellin-related gene expression patterns during fruit growth and development of Amomum villosum 认领 引用 被引量:1
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作者 LÜ Bingding ZHANG Yuyi +5 位作者 TANG Liyun HU Jiajia SU Jing XU Jie HE Zhuohang HE Guozhen 《中山大学学报(自然科学版)(中英文)》 CAS CSCD 北大核心 2026年第3期19-32,共14页
The fruit of Amomum villosum is highly valued for its medicinal and edible properties.However,the fruit abscission rate is exceptionally high,resulting in low unit yield.To better understand the fruit growth and devel... The fruit of Amomum villosum is highly valued for its medicinal and edible properties.However,the fruit abscission rate is exceptionally high,resulting in low unit yield.To better understand the fruit growth and development,this study investigated the characteristic changes of fruits and the expression patterns of GA-related genes in both fruits and fruit stalks.Results revealed that it takes approximately 90 days for the ovary of A.villosum to reach maturity.Fruit growth pattern exhibited a slow-fast-slow trend,with the peak of fruit weight accumulation occurring between the 14 and 25 days after artificial pollination(DAP).Before the 27 DAP,significant changes were observed in the ovary,fruit color,pericarp thickness,and fruit thorn length.Additionally,ten candidate GA-related genes,including 1 GA13ox,1 GA20ox,1 GA3ox,2 GA2oxs,4 GID1cs,and 1 DELLA,were analyzed using bioinformatics tools.The GA-related genes in fruit and fruit stalk exhibited significant correlations with fruit growth/development and fruit dropping.Overall,the fruit growth and development law,and the expression patterns of GA-related genes provided a theoretical foundation for further functional study and the screening of candidate genes for potential applications in A.villosum. 展开更多
关键词 Amomum villosum gibberellin fruit development gene expression pattern bioinformatic
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Influence of grazing patterns on the stability of soil aggregates in semi-arid grasslands 认领 引用 被引量:1
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作者 LI Haonian MENG Ruibing +2 位作者 MENG Zhongju GE Rile WU Xiaolong 《Journal of Arid Land》 SCIE CAS CSCD 2026年第2期322-338,共17页
Global grassland degradation necessitates the identification of sustainable grazing management strategies.In semi-arid regions,grazing exclusion(GE),cold-season grazing(CG),and free grazing(FG)represent common practic... Global grassland degradation necessitates the identification of sustainable grazing management strategies.In semi-arid regions,grazing exclusion(GE),cold-season grazing(CG),and free grazing(FG)represent common practices in grassland ecosystems,yet the long-term ecological consequences of these patterns on plant community structure and soil aggregate stability remain inadequately elucidated.In this study,we evaluated the effects of GE,CG,and FG on soil organic carbon,soil water content,soil bulk density,soil aggregates,and vegetation indicators in Xilamuren steppe,a semi-arid grassland in northern China through field sampling and laboratory analyses in 2024.Our findings revealed that,compared to CG and FG,GE significantly enhanced aboveground and belowground biomass,species diversity,and soil physical-chemical properties in the 0–30 cm layer.The dominant plant species in GE and CG sites were Stipa krylovii,Leymus chinensis,and Agropyron cristatum,whereas Stipa krylovii,Artemisia frigida,and Leymus chinensis were predominant in FG site.Different grazing patterns led to distinct soil aggregate distributions,with>2.00 andCG>FG.Furthermore,random forest modeling identified plant species diversity,plant growth traits,and grazing patterns as the primary determinants of soil aggregate stability.Collectively,these results offer valuable insights into the sustainable management and ecological restoration of semi-arid grasslands under different grazing pressures. 展开更多
关键词 soil aggregate stability grazing patterns grazing exclusion species diversity soil physical-chemical properties semi-arid grasslands
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Big data-driven analysis of shale gas enrichment patterns:A case study of the Wufeng–Longmaxi Formation in the Sichuan Basin and its periphery 认领 引用 被引量:1
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作者 Zongquan Hu Jin Meng +10 位作者 Wei Du Yitian Xiao Chuanxiang Sun Guanping Wang Baojian Shen Tianrui Ye Dongjun Feng Zengqin Liu Longfei Lu Ruyue Wang Qianru Wang 《Energy Geoscience》 EI CAS CSCD 2026年第1期166-178,共13页
The Wufeng–Longmaxi Formation derives its name from the Upper Ordovician Wufeng Formation and the Lower Silurian Longmaxi Formation,found in sequence in the Sichuan Basin.This formation hosts rich shale gas reservoir... The Wufeng–Longmaxi Formation derives its name from the Upper Ordovician Wufeng Formation and the Lower Silurian Longmaxi Formation,found in sequence in the Sichuan Basin.This formation hosts rich shale gas reservoirs,and its shale gas enrichment patterns are examined in this study using data from 1197 shale samples collected from 14 wells.Five basic and three key parameters,eight in all,are assessed for each sample.The five basic parameters include burial depth and the contents of four mineral types—quartz,clay,carbonate,and other minerals;the three key parameters,representing shale gas enrichment,are total organic carbon(TOC)content,porosity,and gas content.The SHapley Additive exPlanations(SHAP)analysis originated in game theory is used here in an interpretable machine learning framework,to address issues of heterogeneous data structure,noisy relationships,and multi-objective optimization.An evaluation of the ranking,contribution values,and conditions of changes for these parameters offers new quantitative insights into shale gas enrichment patterns.A quantitative analysis of the relationship between data-sets identifies the primary factors controlling TOC,porosity,and gas content of shale gas reservoirs.The results show that TOC and porosity jointly influence gas content;mineral content has a significant impact on both,TOC and porosity;and the burial depth governs porosity which,in turn,affects the conditions under which shale gas is preserved.Input parameter thresholds are also determined and provide a basis for the establishment of quantitative criteria to evaluate shale gas enrichment.The predictive accuracy of the model used in this study is significantly improved by the step-wise addition of two input parameters,namely TOC and porosity,separately and together.Thus,the game theory method in big data-driven analysis uses a combination of TOC and porosity to evaluate the gas content with encouraging results—suggesting that these are the key parameters that indicate source rock and reservoir properties. 展开更多
关键词 Big data-driven analysis Primary controlling factor Shale gas enrichment pattern Wufeng–Longmaxi Formation Sichuan basin
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Species Diversity and Elevational Patterns of Reptiles in the Leigongshan National Nature Reserve, Guizhou Province, China 认领 引用
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作者 Xue GOU Caichun PENG +7 位作者 Tuo SHEN Chaobo FENG Lang MU Jing LIU Haijun SU Xiujun TANG Shize LI Xingui LI 《Asian Herpetological Research》 SCIE CAS CSCD 2026年第1期31-33,共3页
Dear Editor,Understanding patterns of species diversity is a primary research focus in macroecology,with its distribution patterns having been described and theoretically validated on a global scale(Peters et al.,2016... Dear Editor,Understanding patterns of species diversity is a primary research focus in macroecology,with its distribution patterns having been described and theoretically validated on a global scale(Peters et al.,2016;Sonne et al.,2025).Numerous studies have found that species richness of different taxa tends to decrease with increasing elevation and is modulated by latitudinal gradients(Peters et al.,2016;Dolson et al.,2024).This principle provides a crucial scientific basis for regional conservation planning.However,it still exhibits significant variations across different mountain ranges and taxa. 展开更多
关键词 patterns species diversity Leigongshan National Nature Reserve species richness Guizhou Province reptiles species diversity elevational patterns regional conservation plannin
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Hydrogeological flow patterns and hydrochemical driving forces of groundwater in a typical coastal hilly region of the Jinjiang watershed,Southeast China:Recommendations for water pollution control and management 认领 引用 被引量:1
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作者 Zhong-shuang Cheng Chen Su +4 位作者 Wen-zhong Wang Bing-yan Li En-de Zuo Yu-meng Tian Zhao-xian Zheng 《China Geology》 CAS CSCD 2026年第2期316-332,共17页
Coastal groundwater(CGW)systems in rapidly urbanizing regions face critical challenges in achieving Sustainable Development Goal(SDG),where anthropogenic pressures intersect with hydrogeological vulnerability.This stu... Coastal groundwater(CGW)systems in rapidly urbanizing regions face critical challenges in achieving Sustainable Development Goal(SDG),where anthropogenic pressures intersect with hydrogeological vulnerability.This study employs coupled isotopic-hydrogeochemical analysis and geostatistics to unravel hydrochemical driving forces compromising groundwater quality in the Jinjiang Downstream Watershed(DJW),Southeast China.The results indicated that groundwater was predominantly recharged from local atmospheric precipitation and lateral recharge from the adjacent boundaries.Hydrochemical distributions exhibited a distinct pattern,transitioning from HCO3-Ca to HCO3·Cl-Ca,and then to Cl-Mg·Ca/Na·Ca,reflecting processes ranging from freshwater recharge to seawater intrusion(SWI).Elevated nitrates were primarily attributed to domestic sewage leakage and septic tank leaching.Additionally,preferential flow posed a risk to deep groundwater quality,by facilitating the rapid transport of contaminants through rock fractures.Key driving forces of hydrochemistry included silicate dissolution with local runoff paths,SWI,and human activities.The study advocates for a governance paradigm integrating electrochemical sensor networks with machine learning-driven contaminant prediction and phased membrane bioreactor deployment,which synergistically reduce nitrate fluxes while maintaining aquifer freshening processes.This integrated approach establishes a scalable model for SDG-aligned groundwater management in vulnerable coastal zones,demonstrating how process-based insights can bridge scientific discovery and water security implementation. 展开更多
关键词 Groundwater flow pattern Atmospheric precipitation Hydrochemistry Nitrate Driving forces Seawater intrusion Electrochemical sensor networks Machine learning Coastal area Sustainable Development Goal(SDG) Groundwater management Hydrogeological survey engineering
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Mining High-Quantitative Periodic Frequent Patterns across Multiple Sequences 认领 引用
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作者 Yan Ge Zhenzhou Zhang Chien-Ming Chen 《Computers, Materials & Continua》 SCIE EI 2026年第8期977-1000,共24页
Periodic pattern mining plays an important role in revealing recurring behavioral regularities from temporal sequence data.Most existing approaches,however,are developed for single-sequence settings and rarely account... Periodic pattern mining plays an important role in revealing recurring behavioral regularities from temporal sequence data.Most existing approaches,however,are developed for single-sequence settings and rarely account for quantitative information or sequence-level constraints when patterns recur across multiple sequences.This limits their usefulness in practical scenarios,where a pattern is expected to be not only periodic but also quantitatively significant in a sufficiently large portion of sequences.In this work,we formulate the problem of mining High-Quantitative Periodic Frequent Patterns(HQPFPS)from multi-sequence databases and propose an efficient algorithm,termed MHQPFPS.The proposed method evaluates pattern significance through a quantitative ratio within each sequence and exploits a sequence-level upper bound to effectively prune unpromising candidates during pattern growth.To support efficient evaluation,a compact list-based structure is introduced to maintain support,periodicity,and quantitative statistics,thereby avoiding repeated scans of the database.These components are combined within a depth-first exploration framework to systematically generate valid patterns while discarding those that fail to satisfy the required periodic or quantitative constraints.Experimental results on both real-world and synthetic datasets show that MHQPFPS is able to extract meaningful high-quantitative periodic patterns across multiple sequences.Moreover,the results indicate that the proposed pruning strategies substantially reduce computational cost in terms of runtime and memory consumption under a wide range of parameter settings. 展开更多
关键词 Data mining high-quantitative periodic patterns multi-sequence databases quantitative pattern mining
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Incorporating multiple scenarios and landscape ecological risk to optimize ecological security patterns: A Wei River Basin case study 认领 引用
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作者 Xueting Wu Jinghu Pan 《Chinese Journal of Population,Resources and Environment》 CSCD 2026年第1期94-109,共16页
Under the influence of human activities,landscape fragmentation in the Wei River Basin(WRB)has become increasingly severe.Upstream development has intensified soil erosion,and industrial and agricultural pollution in ... Under the influence of human activities,landscape fragmentation in the Wei River Basin(WRB)has become increasingly severe.Upstream development has intensified soil erosion,and industrial and agricultural pollution in the middle reaches has degraded water quality.Rapid urbanization has further caused habitat fragmentation and biodiversity loss.Collectively,these challenges threaten human well-being and hinder sustainable development,making the construction and optimization of an ecological security pattern(ESP)urgently necessary.However,existing studies often fail to systematically integrate future landscape ecological risk(LER)assessment with ESP optimization.This study evaluated regional LER using the“ecological patches-ecological resistance surface(ERS)-ecological corridor”framework,combined with land-use predictions under three development scenarios,and optimized the ESP by adjusting the ERS and extracting ecological corridors.The results indicate that the LER in the WRB follows an“inverted N”distribution,with low-risk areas concentrated in forested mountain regions and high-risk areas mainly in cultivated land subject to intensive human activity.Across future scenarios,ESPs showed fewer ecological breakpoints and improved landscape connectivity than the 2020 baseline.Scenario-based differences emerged in the spatial configuration of ERS adjustments,with the ecological protection scenario yielding the lowest LER and most favorable ESP.This study demonstrates the deep integration of multi-scenario simulation with LER assessment,providing a new framework for ESP optimization.The findings have guiding significance for ecological protection and coordinated development in the WRB and offer a novel paradigm for sustainable development in ecologically fragile basins worldwide. 展开更多
关键词 Ecological security pattern Multiple scenarios Landscape ecological risk Ecological security pattern optimization
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Thermal stability design for flexural wave bandgap of metamaterial plates with perforated and pre-curved patterns 认领 引用
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作者 Qian GENG Xing ZHOU +3 位作者 Mengyang WANG Xiongwei YANG Zhushan SHAO Yueming LI 《Applied Mathematics and Mechanics(English Edition)》 SCIE EI CSCD 2026年第3期443-472,I0001-I0004,共30页
A design idea for single-component metamaterial plates is proposed to achieve the thermal stability of flexural wave bandgap by the perforated and pre-curved patterns.The band structure analysis suggests that perforat... A design idea for single-component metamaterial plates is proposed to achieve the thermal stability of flexural wave bandgap by the perforated and pre-curved patterns.The band structure analysis suggests that perforation can release part of the in-plane thermal expansion to weaken the softening effect of thermal stress.Introducing precurved components to the perforated structure will stop the decrement of the bandgap frequency in thermal environment,and even make the frequency higher with appropriate structural parameters.The bending stiffness of the heated plate is enhanced by the thermal deflection induced stiffening effect of the pre-curved components.The segmented pre-curved component presents a strong ability to resist the thermal influence on the flexural wave bandgap.A simplified model is established for the local structure of the precurved component.The theoretical calculations explain the thermally induced frequency increment of the bandgap and the discrepancy in the thermal response between the two pre-curved models.The transmittance of flexural wave validates the effectiveness of the proposed design. 展开更多
关键词 metamaterial plate flexural vibration bandgap perforation pre-curved pattern thermal stability
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Micropatterned Scintillator Films With Engineered Cs3Cu2I5/CsCu2I3 Nanocrystals for Low-Crosstalk X-Ray Imaging at Clinically Relevant Tube Voltage 认领 引用
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作者 Atanu Jana Sunjung Park +4 位作者 Deblina Das Sourav Mal Seoyoung Kwak Sungwoo Kim Sangeun Cho 《Energy & Environmental Materials》 SCIE EI CAS CSCD 2026年第2期528-539,共12页
The spatial resolution of X-ray imaging is often limited by radioluminescence scattering,which is exacerbated in thick scintillators and unpatterned films due to lateral light spreading.Commercial scintillators such a... The spatial resolution of X-ray imaging is often limited by radioluminescence scattering,which is exacerbated in thick scintillators and unpatterned films due to lateral light spreading.Commercial scintillators such as cesium iodide and gadolinium oxysulfide,although hundreds of micrometers thick to ensure efficient X-ray absorption,still suffer from optical crosstalk,complicated fabrication,and high production costs.To overcome these challenges,we report a novel micropatterned lead-free green and sustainable 1D Cu-based perovskite nanocrystals scintillator film.Specifically,polyethylene glycol-coated CsCu2I3 nanocrystals are used to achieve improved quantum yield and precise thickness control,facilitated by the flexibility and compatibility of polyethylene glycol with the Cu-based nanocrystals.During polyethylene glycol treatment,zero-dimensional Cs3Cu2I5 nanocrystals transform into 1D CsCu2I3 nanocrystals,occurring,accompanied by a pronounced redshift in emission,enabling the fabrication of yellow-emitting scintillator films.Further,photolithographic techniques are used to fabricate patterned substrates with varying pattern sizes and thicknesses,which were subsequently filled with polyethylene glycol-coated CsCu2I3 nanocrystals via a hot-press method.The optimized micropatterned scintillator film effectively suppressed optical crosstalk and delivered enhanced spatial resolution under a clinically relevant tube voltage(80 kVp),outperforming unpatterned counterparts.X-ray imaging at such high voltage conditions has rarely been demonstrated using copper halide materials.This strategy highlights a practical route toward clinically relevant,scalable,and high-resolution scintillator films for advanced X-ray imaging. 展开更多
关键词 Cu-based scintillator dimensional engineering lithography patterned film Xray imaging
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Revealing global patterns of teleconnections in armed conflict 认领 引用
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作者 ZHUO Jun WU Jiajie +4 位作者 HAO Mengmeng DING Fangyu CHEN Shuai DONG Jiping JIANG Dong 《Journal of Geographical Sciences》 SCIE CSCD 2026年第4期1038-1056,共19页
Understanding the complex interactions among armed conflict events is important for the simulation and prediction of conflict risks.Many studies have suggested that conflict events affect neighbouring regions.Here we ... Understanding the complex interactions among armed conflict events is important for the simulation and prediction of conflict risks.Many studies have suggested that conflict events affect neighbouring regions.Here we find that conflicts exhibit not only localized effects but also significant teleconnections.By applying complex network analysis,the spatiotemporal scale of conflict teleconnections is quantified,revealing a characteristic spatial distance of approximately 1500 km and a rapid propagation delay of about 10 days.Moreover,distinct teleconnection patterns are identified through network coefficients.Eight major hubs,located in South Asia,the Middle East,and Sub-Saharan Africa,emerge and exhibit pronounced spatial heterogeneity in their interactions.Furthermore,analysis of the underlying driving mechanisms indicates that differences in teleconnection patterns are likely associated with the flows of energy,materials,and information,with information playing the predominant role in shaping these interactions.These findings provide insights into long-distance interactions in armed conflict,offering a better understanding of conflict risk. 展开更多
关键词 armed conflict teleconnection patterns complex network
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Propagation patterns of hydrological droughts in the source region of Yellow River:Insights from standardized versus threshold‐based approaches 认领 引用
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作者 Jiefeng Wu Huaxia Yao +5 位作者 Pengyu An Qiangkun Li Jinxu Han Dejian Zhang Xuemei Li Guoqing Wang 《River》 EI CSCD 2026年第1期55-68,共14页
Understanding the propagation patterns of hydrological droughts is crucial for drought prevention,disaster mitigation,and water resource management.Two common methodological frameworks are employed:standardized indice... Understanding the propagation patterns of hydrological droughts is crucial for drought prevention,disaster mitigation,and water resource management.Two common methodological frameworks are employed:standardized indices,represented by the Standardized Streamflow Index(SSI),and threshold‐based(nonstandardized)indices,represented by the variable drought threshold(VDT)and fixed drought threshold(FDT).However,differences and similarities between these two types of methods in identifying hydrological droughts and characterizing their propagation patterns(e.g.,onset,peak intensity,and termination)have not been systematically examined.To address this gap,the source region of Yellow River basin(SRYB),an area with relatively limited human influence,is selected as a case study.The results reveal several key similarities and distinctions:(i)The average duration of hydrological droughts during 1956–2022 is similar between SSI and VDT,but significantly longer when identified by FDT.The average severity derived from FDT is lower than that from VDT.(ii)All three methods effectively capture the spatial propagation behavior of hydrological droughts across the SRYB,which generally exhibits a decreasing intensity from upstream to downstream.(iii)Marked differences exist in the intra‑annual timing of event occurrences:SSI and VDT show an approximately even monthly distribution,whereas FDT indicates a pronounced concentration of drought events in low‐flow periods.(iv)The onset,peak intensity,and termination of hydrological droughts identified by FDT align well with wet‐dry transitions,a feature not reflected in the results from SSI or VDT.(v)These discrepancies stem from the“relative”nature of SSI and VDT—which evaluate drought events against reference‐period thresholds,leading to similar average durations and uniform seasonal distributions—and the“absolute”nature of FDT,which uses inherent low‐flow thresholds,resulting in longer durations,reduced severity,seasonal concentration,and better alignment with wet‐dry transitions.This study provides critical and actionable insights for selecting appropriate hydrological drought identification methods,thereby supporting sustainable water resource management and enhancing water security under drought conditions. 展开更多
关键词 drought indices drought mitigation evolution patterns methodological comparison
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Wafer-Level Self-Assembly and Interface Passivation Patterning Technology for Nanomaterial-Compatible 3D MEMS Sensing Chips 认领 引用
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作者 Zheng Zhang Yanlin Zhang +4 位作者 Yuanyuan Luo Guoliang Lv Jianglin Yin Pengwei Tan Guotao Duan 《Nano-Micro Letters》 SCIE EI CAS CSCD 2026年第7期106-121,共16页
Wafer-scale fabrication of high-performance microelectro-mechanical systems(MEMS)bio/chemical sensing chips remains constrained by the absence of reliable methods for integrating high-performance nanomaterials into su... Wafer-scale fabrication of high-performance microelectro-mechanical systems(MEMS)bio/chemical sensing chips remains constrained by the absence of reliable methods for integrating high-performance nanomaterials into suspended MEMS architectures.Here,a wafer-level manufacturing strategy is presented that redefines the MEMS process flow as“film first,cantilever later.”Through kinetically controlled self-assembly,wet-chemically synthesized Pd/SnO2nanospheres are transferred as dense,uniform monolithic films onto 8-inch wafers.An HfO2interface passivation patterning technology resolves long-standing incompatibility between functional sensing films and silicon substrates,enabling precise patterning and reliable integration on suspended MEMS cantilevers.The resulting Pd/SnO2MEMS H2 chips are fabricated onto an 8-inch wafer,demonstrating high sensitivity and consistency.This approach overcomes long-standing wafer-level manufacturing challenges in the formation and patterning of high-performance nanomaterials film,establishing a fully integrated wafer-level process that fundamentally redefines the manufacturing route for tetramethylammonium hydroxide-resistant nanomaterial-based MEMS sensing chips. 展开更多
关键词 Compatible manufacturing Wafer-level self-assembly Interface passivation patterning technology MEMS Sensing chips
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Effect of rainfall and groundwater on disintegration pattern of granite residual soil in southeast China 认领 引用
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作者 LIAO Liping TAN Yinghui +2 位作者 LIU Zhengwei YANG Zhiquan YANG Yunchuan 《Journal of Mountain Science》 SCIE CSCD 2026年第7期3275-3296,共22页
Granite residual soil is highly susceptible to disintegration upon water contact,often triggering geological hazards in subtropical regions.While rainfall and groundwater fluctuations are key hydrological drivers of t... Granite residual soil is highly susceptible to disintegration upon water contact,often triggering geological hazards in subtropical regions.While rainfall and groundwater fluctuations are key hydrological drivers of this process,previous studies have largely focused on hydrostatic conditions,overlooking the coupled effects of dynamic groundwater recharge and rainfall infiltration.In this study,we systematically investigated the disintegration behaviour of granite residual soil under three hydrological scenarios:rainfall only,stable groundwater level,and combined rainfall-groundwater level variation.Disintegration tests were conducted on specimens with varying initial moisture contents and dry densities.The results reveal distinct disintegration patterns across hydrological conditions.Under rainfall alone,blocky and muddy disintegration predominated.Under stable groundwater levels,layered disintegration along annular cracks was observed.Under the combined scenario,surface softening and localised depression disintegration were the main features.Total disintegration time(TDT)was influenced by initial moisture content,dry density,and rainfall intensity.Under stable groundwater conditions,TDT decreased with increasing moisture content but increased with higher dry density.Under both rainfall-only and combined scenarios,TDT decreased as rainfall intensity rose from 4 to 16 mm/h.At identical moisture content and dry density,the shortest TDT occurred under the combined condition with rising groundwater.At lower rainfall intensities(4or 8 mm/h),TDT under rainfall-only was longer than under stable groundwater;this trend reversed at higher intensities(12 or 16 mm/h).Overall,water infiltration patterns and processes under varying hydraulic conditions were identified as the primary external drivers of disintegration,while the microstructural response and soluble salt dynamics of the soil constituted the common underlying mechanism.These findings provide new insights into the hydrologically driven instability of residual soils in mountainous regions. 展开更多
关键词 Disintegration pattern Granite residual soil Rainfall Groundwater level variation
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Effects of wetland connectivity on plant communities and vegetation patterns in the Qaidam Basin 认领 引用
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作者 YUE Yifan MA Dengke +3 位作者 MA Yuanyuan KANG Wenrong ZHOU Guoying ZHAO Wenzhi 《Journal of Arid Land》 SCIE CAS CSCD 2026年第4期696-714,共19页
The Qaidam Basin,a typical alpine arid inland basin on the northern Qinghai-Xizang Plateau,China,hosts wetland ecosystems that are strongly constrained by topography and extreme climate.These ecosystems exhibit pronou... The Qaidam Basin,a typical alpine arid inland basin on the northern Qinghai-Xizang Plateau,China,hosts wetland ecosystems that are strongly constrained by topography and extreme climate.These ecosystems exhibit pronounced spatiotemporal heterogeneity and fragmented distribution patterns,rendering them highly sensitive to environmental change.This study integrated Sentinel-2 remote sensing imagery with the SedInConnect model to delineate wetland patch distributions and calculate the Index of Connectivity(IC)values across the basin.Based on IC values,we stratified field sampling sites into high-,moderate-,and lowconnectivity gradient groups to analyze the relationships among plant community characteristics,vegetation spatial patterns,and wetland connectivity in the Qaidam Basin.Partial Least Squares Path Modeling(PLSPM)was further employed to quantify the driving mechanisms underlying wetland vegetation characteristics.The results revealed that wetland connectivity across the basin was generally low,with IC values up to 1.32 and displaying a west-to-east decreasing gradient.The west and northwest were characterized by relatively continuous high-connectivity wetland networks,while fragmented and low-connectivity wetlands predominated in the east and southeast.Connectivity regulated wetland vegetation patterns primarily by affecting patch size,fragmentation,and internal adjacency.High-connectivity areas had higher class area(CA),largest patch index(LPI),and area-weighted mean patch size(AREA_AM)than low-connectivity areas.Connectivity had the strongest effect on vegetation coverage,which declined sharply from 87.577%in highconnectivity areas to 12.152%in low-connectivity areas.Meanwhile,species diversity showed a moderately negative response to connectivity changes,whereas species evenness remained relatively unaffected.PLS-PM explained 78.300%and 67.500%of the variance in vegetation community and vegetation pattern,respectively.Climate played a dominant role in shaping vegetation characteristics,with significant negative effects on both vegetation community and pattern.Topography influenced vegetation indirectly through climate,and connectivity was influenced by both drivers and exerted positive effects on vegetation community and pattern.This study reveals the multi-pathway driving mechanisms underlying vegetation pattern formation in alpine wetlands,providing a theoretical foundation and decision-support framework for the scientific conservation and adaptive management of wetlands in the Qaidam Basin. 展开更多
关键词 connectivity gradient wetland vegetation vegetation pattern community characteristics driving mechanisms
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Fracture response patterns in deep to ultra-deep tight sandstones:A comparison based on core and borehole images 认领 引用
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作者 Yu Du Hu-Cheng Deng +7 位作者 Xiao-Fei Hu Hao-Tian Zhang Hong-Hui Wang Cui-Li Wang Mao-Xin Liu Chen-Yang Zhao Shang-Rong Guo Zi-Yun Zheng 《Petroleum Science》 SCIE EI CAS CSCD 2026年第2期541-562,共22页
Natural fractures serve as the primary storage spaces and flow pathways in deep to ultra-deep tight sandstone reservoirs,directly influencing hydrocarbon accumulation,preservation,and production.Borehole images offer ... Natural fractures serve as the primary storage spaces and flow pathways in deep to ultra-deep tight sandstone reservoirs,directly influencing hydrocarbon accumulation,preservation,and production.Borehole images offer intuitive,continuous,and high-resolution identification of natural fractures along the entire borehole.However,relying solely on complete sinusoidal curves from borehole images for fracture identification may lead to omissions,as it overlooks cases where these curves are incomplete or truncated.To address the problems and deficiencies in fracture identification,this study systematically classifies borehole image feature patterns based on core-to-log spatial position restoring.A bidirectional comparison is conducted between natu ral fractures in cores and the fracture image features in borehole images.A quantitative relationship between fracture dip angle,thin layer thickness and borehole radius was established,accompanied by a mathematical expression describing the fracture curve morphology was proposed.These findings enabled the development of an imaging response pattern for natural fractures in deep and ultra-deep tight sandstone reservoirs,incorporating key parameters such as dip angle,through-layer connectivity,and spatial position within the borehole.In the Bashijiqike-Baxigai tight-sandstone reservoirs of the Bozi-Dabei area,we estimate that approximately 24%of coreobserved fractures display distinct linear-pattern features on borehole images,whereas approximately 91%of borehole images features can be correlated with fractures observed in core.Fracture identification rates for natural fractures increased by 17%in water-based mud and by 3%in oil-based mud through the application of the natural fracture image response pattern.Moreover,this study analyzes the deviations in the matching between core fractures and image features.Finally,we further discuss the common sources of error in natural fracture identification using borehole images from multiple perspectives,including missing core responses,inconsistencies between core and borehole image features,distortion of fracture chord curve,inaccurate fracture count,misclassification of fractures,and variations in interpretation under different mud systems.The research addresses the blind spots of traditional methods in fracture identification within thin layers,not only enhancing the detection rate of natural fractu res but also further improving the accuracy of fractu re recognitio n.At the same time,it will contribute to the optimization of fracture characterization,reservoir evaluation,and production forecasting,providing a more reliable data foundation for exploration and development under complex geological conditions. 展开更多
关键词 Borehole images Natural fracture Fracture image features Fracture response pattern Fracture identification Tight sandstone reservoir
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Improving Online Restore Performance of Backup Storage via Historical File Access Pattern 认领 引用
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作者 Ruidong Chen Guopeng Wang +5 位作者 Jingyuan Yang Ziyu Wang Fang Zou Jia Sun Xingpeng Tang Ting Chen 《Computers, Materials & Continua》 SCIE EI 2026年第3期1536-1558,共23页
The performance of data restore is one of the key indicators of user experience for backup storage systems.Compared to the traditional offline restore process,online restore reduces downtime during backup restoration,... The performance of data restore is one of the key indicators of user experience for backup storage systems.Compared to the traditional offline restore process,online restore reduces downtime during backup restoration,allowing users to operate on already restored files while other files are still being restored.This approach improves availability during restoration tasks but suffers from a critical limitation:inconsistencies between the access sequence and the restore sequence.In many cases,the file a user needs to access at a given moment may not yet be restored,resulting in significant delays and poor user experience.To this end,we present Histore,which builds on the user’s historical access sequence to schedule the restore sequence,in order to reduce users’access delayed time.Histore includes three restore approaches:(i)the frequency-based approach,which restores files based on historical file access frequencies and prioritizes ensuring the availability of frequently accessed files;(ii)the graph-based approach,which preferentially restores the frequently accessed files as well as their correlated files based on historical access patterns,and(iii)the trie-based approach,which restores particular files based on both users’real-time and historical access patterns to deduce and restore the files to be accessed in the near future.We implement a prototype of Histore and evaluate its performance from multiple perspectives.Trace-driven experiments on two datasets show that Histore significantly reduces users’delay time by 4-700×with only 1.0%-14.5%additional performance overhead. 展开更多
关键词 Online restore access pattern correlation graph trie
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Pattern and risk factors for postoperative recurrence in borderline resectable pancreatic cancer after upfront surgery 认领 引用
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作者 Han-Xuan Wang Qing Zhao +3 位作者 Jin-Can Huang Qiang He Shao-Cheng Lyu Ren Lang 《World Journal of Gastroenterology》 SCIE CAS 2026年第23期78-96,共19页
BACKGROUND Postoperative recurrence is the main cause of treatment failure in borderline resectable pancreatic cancer(BRPC)patients.Elaborating patterns and risk factors for tumor recurrence can help clinicians tailor... BACKGROUND Postoperative recurrence is the main cause of treatment failure in borderline resectable pancreatic cancer(BRPC)patients.Elaborating patterns and risk factors for tumor recurrence can help clinicians tailor treatment decision,thereby improving the clinical outcome of these patients.However,although upfront surgery serves as an important treatment option for BRPC patients and can lead to distinct recurrence risks and patterns,the exact characteristics of postoperative recurrence in these patients were unclear.AIM To describe the pattern of postoperative recurrence and identify its risk factors in BRPC patients receiving upfront surgery.METHODS This retrospective study analyzed 216 BRPC patients receiving upfront surgeries.Preoperative data,surgical condition,pathology and postoperative prognosis were analyzed.Kaplan-Meier method was applied for survival comparison.Risk factors for disease-free survival(DFS)and tumor recurrence were identified with Cox and logistic regression.Fine-Gray analysis was applied to adjust for competing event.Restricted cubic splines were used to evaluate the dose-response correlation and receiver operating characteristic analysis was applied for determination of optimal cutoff value.RESULTS Of 72.7%patients experienced postoperative recurrence with a medium DFS of 11 months.Most recurrences occurred within postoperative year one,and liver was the most common recurrence site.Patients with early recurrence had decreased post-recurrence survival compared to late recurrence patients(P<0.001).Preoperative[carcinoembryonic antigen(CEA),hazard risk(HR)=1.021,95%confidence interval(CI):1.002-1.040,P=0.029],tumor diameter(HR=1.101,95%CI:1.003-1.320,P=0.044),differentiation(HR=0.662,95%CI:0.473-0.927,P=0.016)and lymph node metastasis(HR=1.491,95%CI:1.009-2.202,P=0.045)were independent risk factors for DFS.Preoperative CEA[relative risk(RR)=1.083,95%CI:1.008-1.163,P=0.029],tumor diameter(RR=1.236,95%CI:1.013-1.507,P=0.037),differentiation(RR=0.508,95%CI:0.271-0.951,P=0.034)and lymph node metastasis(RR=2.151,95%CI:1.007-4.297,P=0.030)were independent risk factors for early recurrence.Vascular invasion extent showed limited association with postoperative recurrence.CONCLUSION Most postoperative tumor recurrences occurred in postoperative year one in BRPC patients receiving upfront surgery,and liver was the most common site of recurrence.Preoperative CEA,tumor size,differentiation and lymph node metastasis were risk factors for DFS and early postoperative recurrence. 展开更多
关键词 Borderline resectable pancreatic cancer Upfront surgery Tumor recurrence Pattern Risk factor
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