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基于改进AHP-TOPSIS的可变速抽蓄改造可行性评估方法 认领 引用 被引量：1
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作者 侯健生 邱璐 +3 位作者 何明锋 季克勤 费咏攀 付宇欣 《山东电力技术》 2026年第2期110-120,共11页
抽水蓄能作为成熟的商业化储能技术,是目前解决新能源消纳的有效途径。受不同地域条件限制,传统定速抽蓄凸显出水头适应能力差、灵活调节能力不足的问题,这使得可变速抽蓄机组成为未来抽蓄电站的优选,但准确评估存量机组进行变速改造的... 抽水蓄能作为成熟的商业化储能技术,是目前解决新能源消纳的有效途径。受不同地域条件限制,传统定速抽蓄凸显出水头适应能力差、灵活调节能力不足的问题,这使得可变速抽蓄机组成为未来抽蓄电站的优选,但准确评估存量机组进行变速改造的经济、社会及环境综合效益是亟待解决的难题。本文基于改进的层次分析法(analytic hierarchy process,AHP)-逼近理想解排序法(technique for order preference by similarity to the ideal solution,TOPSIS),提出了一种可变速抽蓄改造可行性评估方法,从经济效益、社会效益和环境效益三方面,建立了考虑综合效益的改造可行性评价指标体系;进一步对AHP的权重获得方法进行改进,并与TOPSIS结合,对可变速抽蓄改造项目进行评分,得出其改造可行性的综合评分。对某地区三处可变速抽蓄电站改造进行算例分析,验证本文所提方法的有效性与可行性。所提方法对可变速抽蓄改造的发展具有一定的工程实践意义,为可变速抽蓄改造方案的可行性评估提供了理论依据。 展开更多
关键词 新能源 可变速抽蓄 AHP-TOPSIS 可行性评估
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Oxygenation-driven multimodal photoacoustic/ultrasonic imaging enhances evaluation of enthesitis disease activity in psoriatic arthritis 认领 引用 被引量：1
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作者 Rui Zhang Fan Yang +8 位作者 Chenyang Zhao Ming Wang Yan Zhang Fang Yang Lei Zhu Jianchu Li Yuxin Jiang Xiaomei Leng Meng Yang 《Journal of Innovative Optical Health Sciences》 SCIE EI CSCD 2026年第1期126-138,共13页
Conventional ultrasound(US)evaluation of enthesitis in psoriatic arthritis(PsA)is limited by its inability to quantify metabolic alterations such as hypoxia,a key driver of disease activity.We introduce an oxygenation... Conventional ultrasound(US)evaluation of enthesitis in psoriatic arthritis(PsA)is limited by its inability to quantify metabolic alterations such as hypoxia,a key driver of disease activity.We introduce an oxygenation-integrated multimodal photoacoustic/ultrasound(PA/US)imaging framework designed to quantify entheseal oxygen saturation(SO2)for assessing entheseal disease activity in PsA.In this cross-sectional study,25 PsA patients underwent bilateral PA/US imaging of 12 entheses,where ultrasound lesions were scored using the Outcome Measures in Rheumatology scoring system,and PA-derived SO2 levels,quantified via dual-wavelength PA imaging,were classified into hyperoxia or hypoxia groups using k-means clustering.This approach provides metabolic insights complementary to conventional ultrasonic assessment.A composite score integrating hypoxia with US parameters was validated against clinical disease activity indices(Disease Activity Score 28-C-reactive protein,DAS28-CRP;Disease Activity Index for Psoriatic Arthritis,DAPSA).Among 300 entheses,103(34.3%)exhibited PA positivity,with 40(38.8%)classified as hypoxia.Hypoxia scores independently predicted DAS28-CRP(β=0.618,p=0.001)and DAPSA(β=0.612,p<0:001).The hypoxia-optimized PAUS score demonstrated superior correlation with disease activity indices compared to conventional US(DAS28-CRP:r=0.615,p=0.001 versus r=0.474,p=0.017;DAPSA:r=0.743,p<0:001 versus r=0.567,p=0.003),alongside superior diagnostic accuracy for minimal disease activity(area under the curve,AUC 0.776 versus 0.614,p=0.008)and low disease activity(AUC 0.853 versus 0.772,p=0.009).This multimodal scoring system enhances the stratification of PsA disease activity by providing unique metabolic insights,offering a potential tool for therapeutic monitoring and guiding treat-to-target strategies. 展开更多
关键词 Photoacoustic imaging oxygen saturation enthesis disease activity evaluation
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Multi-source errors evaluation of machine tools:from research gaps to methodologies and applications 认领 引用 被引量：1
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作者 Jingang Sun Yanbin Zhang +14 位作者 Xiao Ma Benkai Li Min Yang Liandi Xu Haiyuan Xin Qinglong An Lida Zhu Qingfeng Bie Xianxin Yin Shouhai Chen Guanqun Li Yusuf Suleiman Dambatta Rui Xue Zhenwei Yu Changhe Li 《International Journal of Extreme Manufacturing》 SCIE EI CAS CSCD 2026年第2期44-96,共53页
Multi-source errors,as critical obstacles limiting the accuracy retention and machining performance of machine tools,hold fundamental and strategic significance for achieving high-precision,high-efficiency,and high-re... Multi-source errors,as critical obstacles limiting the accuracy retention and machining performance of machine tools,hold fundamental and strategic significance for achieving high-precision,high-efficiency,and high-reliability machining in modern manufacturing systems.However,these errors typically exhibit complex characteristics such as strong coupling,time-variance,and nonlinearity,which challenge traditional methods of error identification,modeling,and compensation in terms of adaptability,real-time capability,and integration.Therefore,it is imperative to establish a systematic and intelligent multi-source error control framework.Firstly,this work systematically reviews typical error sources and their evolution mechanisms,evaluates multi-scale detection technologies including laser interferometry,double ball-bar systems,multi-sensor fusion,and vision-based systems,and constructs an intelligent error identification and evaluation framework.Next,it reviews classical modeling methods such as homogeneous transformation matrices,screw theory,thermal equilibrium models,finite element analysis,and modal analysis,compares physical modeling,data-driven,and hybrid modeling strategies,and develops an integrated multi-source error modeling architecture centered on digital twin technology and artificial intelligence.Furthermore,key technologies,including geometric error mapping and real-time compensation,online thermal error prediction and active temperature control,dynamic error suppression,and adaptive control,are summarized.A multi-level integrated error compensation architecture is proposed by combining physical models,data models,and cyber-physical synchronization.This architecture encompasses core processes such as error traceability and decoupling,dynamic prediction,real-time compensation,and closed-loop optimization,emphasizing engineering implementation mechanisms based on cyber-physical collaboration,multi-physics coupling,and multi-scale fusion,thereby effectively enhancing accuracy stability and control robustness under complex operating conditions.Finally,frontier challenges such as constructing high-fidelity coupled models from heterogeneous multi-source data,edge-cloud collaborative control,and cross-platform interoperability are discussed.The application prospects of multi-source error evaluation are also envisioned,providing theoretical foundations and technical support for the precise management and optimization of the entire lifecycle accuracy of machine tools. 展开更多
关键词 multi-source error evaluation error coupling integrated error modeling traceability and decoupling hybrid prediction closed-loop error compensation
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Therapeutic effects of low-intensity transcranial focused ultrasound stimulation on ischemic stroke in rats:An in vivo evaluation using electrical impedance tomography 认领 引用 被引量：1
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作者 Jiecheng Guo Sixuan He +4 位作者 Li Yan Lei Wang Xuetao Shi Huijing Hu Le Li 《Neural Regeneration Research》 SCIE CAS CSCD 2026年第3期1183-1190,共8页
Although previous studies have demonstrated that transcranial focused ultrasound stimulation protects the ischemic brain,clear criteria for the stimulation time window and intensity are lacking.Electrical impedance to... Although previous studies have demonstrated that transcranial focused ultrasound stimulation protects the ischemic brain,clear criteria for the stimulation time window and intensity are lacking.Electrical impedance tomography enables real-time monitoring of changes in cerebral blood perfusion within the ischemic brain,but investigating the feasibility of using this method to assess post-stroke rehabilitation in vivo remains critical.In this study,ischemic stroke was induced in rats through middle cerebral artery occlusion surgery.Transcranial focused ultrasound stimulation was used to treat the rat model of ischemia,and electrical impedance tomography was used to measure impedance during both the acute stage of ischemia and the rehabilitation stage following the stimulation.Electrical impedance tomography results indicated that cerebral impedance increased after the onset of ischemia and decreased following transcranial focused ultrasound stimulation.Furthermore,the stimulation promoted motor function recovery,reduced cerebral infarction volume in the rat model of ischemic stroke,and induced the expression of brain-derived neurotrophic factor in the ischemic brain.Our results also revealed a significant correlation between the impedance of the ischemic brain post-intervention and improvements in behavioral scores and infarct volume.This study shows that daily administration of transcranial focused ultrasound stimulation for 20 minutes to the ischemic hemisphere 24 hours after cerebral ischemia enhanced motor recovery in a rat model of ischemia.Additionally,our findings indicate that electrical impedance tomography can serve as a valuable tool for quantitatively evaluating rehabilitation after ischemic stroke in vivo.These findings suggest the feasibility of using impedance data collected via electrical impedance tomography to clinically assess the effects of rehabilitatory interventions for patients with ischemic stroke. 展开更多
关键词 animal model brain stimulation electrical impedance tomography evaluation impedance noninvasive treatment real-time monitoring rehabilitation stroke transcranial focused ultrasound stimulation
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A condition control-based dual-reliability evaluation for structural health monitoring 认领 引用
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作者 Qiuhui XU Shenfang YUAN +1 位作者 Jian CHEN Hutao JING 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第1期247-262,共16页
It is well recognized that Structural Health Monitoring(SHM)reliability evaluation is a key aspect that needs to be urgently addressed to promote the wide application of SHM methods.However,the existing studies typica... It is well recognized that Structural Health Monitoring(SHM)reliability evaluation is a key aspect that needs to be urgently addressed to promote the wide application of SHM methods.However,the existing studies typically transfer the Non-Destructive Testing/Evaluation(NDT/E)reliability metrics to SHM without a systematic analysis of where these metrics originated.Seldom attentions are paid to the evaluation conditions which are very important to apply these metrics.Aimed at this issue,a new condition control-based Dual-Reliability Evaluation(Dual-RE)method for SHM is proposed.This new method is proposed based on a systematic analysis of the whole framework of reliability evaluation from instrument to NDT,and emphasis is paid to the evaluation condition control.Based on these analyses,considering the special online application scenario of SHM,the proposed Dual-RE method contains two key components:Integrated Sensor-based SHM-RE(IS-SHM-RE)and Critical Service Condition-based SHM-RE(CSC-SHM-RE).ISSHM-RE evaluates the reliability of integrated SHM sensor and system themselves under approximate repeatability conditions,while CSC-SHM-RE assesses SHM reliability under the dominant uncertainties during service,namely intermediate conditions.To demonstrate the Dual-RE,crack monitoring by using the Guided Wave-based-SHM(GW-SHM)on aircraft lug structures is taken as a case study.Both the crack detection and sizing performance are evaluated from accuracy and uncertainty. 展开更多
关键词 Crack detection and sizing Dual-reliability evaluation Evaluation condition control Guided wave-based monitoring Reliability evaluation Structural health monitoring
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Comprehensive evaluation of seed iron content in peanut germplasm and identification of elite genotypes with high iron 认领 引用
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作者 Jianbin Guo Li Huang +7 位作者 Huaiyong Luo Weigang Chen Bolun Yu Xiaojing Zhou Huifang Jiang Boshou Liao Yong Lei Nian Liu 《Oil Crop Science》 CAS CSCD 2026年第1期38-44,共7页
Iron is an essential mineral element that plays important roles in plant growth,development,and human health.Peanut is a valuable source of iron for human nutrition.Improving iron content in peanut seeds can enhance b... Iron is an essential mineral element that plays important roles in plant growth,development,and human health.Peanut is a valuable source of iron for human nutrition.Improving iron content in peanut seeds can enhance both yield potential and nutritional value.In this study,the seed iron content of the 401 peanut germplasm accessions was estimated and substantial variation among these accessions was observed,ranging from 9.02 to 50.60 mg/kg.The seed iron content of valencia type accessions was significantly higher than that of Peruvian,Virginia,and Irregular types.Landraces showed the highest average iron content,followed by advanced cultivars,breeding lines and interspecific hybrid cultivars.Accessions with red seed coat exhibited significantly higher iron content compared with those with pink seed coat.Correlation analysis revealed that the seed iron content significantly negatively correlated with hundred seed weight(HSW),resveratrol and oleic acid.Eight accessions with high iron content were identified with an average iron content of 32.46 mg/kg,including two elite genotypes that Zh.h4280 showed high resveratrol levels(1057.34μg/kg)and Zh.h1976 exhibited large seeds(HSW over 90g).Association analysis identified four markers,one of which,AHGS2053 stably explained with 5.75%–5.84%phenotypic variation.Accessions containing the favorable allele AHGS2053-250bp exhibited significantly higher iron content compared to those with alternative alleles.The results provide valuable germplasm resources and associated markers for breeding programs targeting high iron content in peanuts. 展开更多
关键词 Peanut Iron content Germplasm accessions Comprehensive evaluation
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Energy-based evaluation of sandstone brittleness under triaxial compression:Micromechanical damage approach 认领 引用
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作者 Qiaojuan Yu Shigui Du +4 位作者 Rui Yong Zhanyou Luo Changshuo Wang Yuanjun Lv Zeping Zhang 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2026年第1期580-592,共13页
Rock brittleness is a critical property in geotechnical and energy engineering,as it directly influences the prediction of rock failure and stability assessment.Although numerous methods have been developed to evaluat... Rock brittleness is a critical property in geotechnical and energy engineering,as it directly influences the prediction of rock failure and stability assessment.Although numerous methods have been developed to evaluate brittleness,many fail to comprehensively account for the impacts of microstructural changes,mineralogical characteristics,and stress conditions on energy evolution during failure.This study proposes a novel approach for brittleness evaluation based on the energy evolution throughout the post-peak failure process,integrating two micromechanical mechanisms:crack propagation and frictional sliding.A new brittleness index is defined as the ratio of generated surface energy to released elastic energy,providing a unified framework for assessing both Class I and Class II mechanical behaviors.The brittleness of cyan,white,and gray sandstones was investigated under various confining pressures and moisture conditions using X-ray diffraction(XRD),scanning electron microscopy(SEM),and conventional triaxial compression(CTC)tests.The results demonstrate that brittleness decreases with increasing confining pressure,due to suppressed crack propagation,and increases under saturated conditions,as moisture enhances crack propagation.By establishing connections between mineral composition,microstructural features,and stress-induced responses,the proposed method overcame limitations of previous approaches and offered a more precise tool for evaluating rock brittleness under diverse environmental scenarios. 展开更多
关键词 Brittleness evaluation Energy evolution Micromechanics Triaxial compression Sandstone Moisture effect
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Dynamic behavior and damage evaluation of prototype caisson wharf against underwater explosion 认领 引用
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作者 Ziqi Chen Yudi Zhou +1 位作者 Yuehua Cheng Hao Wu 《Defence Technology（防务技术）》 SCIE EI CAS CSCD 2026年第3期246-266,共21页
Gravity-caisson wharves have been widely constructed in coastal and island regions, which are threaten by potential underwater explosions. This work aims to study the dynamic behaviors and propose a damage evaluation ... Gravity-caisson wharves have been widely constructed in coastal and island regions, which are threaten by potential underwater explosions. This work aims to study the dynamic behaviors and propose a damage evaluation approach of caisson wharf against underwater explosion. Firstly, based on both the underwater explosion loading test and underwater explosion test on the reduced-scale caisson specimen, a high-fidelity finite element analysis approach for numerically reproduce the dynamic behaviors of prototype caisson wharves against underwater explosions was proposed and verified. Secondly, the underwater explosion loadings and dynamic behaviors of prototype caisson wharf (14.9 m×8.1 m×10.95 m) against sequential blast wave and bubble pulsation of typical torpedo with a charge weight of 200 kg were studied. The influences of the seabed and cabin infill materials, as well as the explosion standoff distances of 3.4–10.2 m and depths of burst between 1/4 and 3/4 of water depth, on the blast resistance of caisson wharf were further examined through deflection distributions of exterior wall, damage evolution, and overall displacement of caisson wharf. Finally, a performance evaluation approach for prototype caisson wharves against underwater explosions was proposed by comprehensively considering the bearing, storage, and berthing capabilities. The corresponding protective measures and design recommendations were further provided. It indicates that: (i) under the explosion of a typical torpedo, the damage modes of prototype caisson wharf mainly involve the overall vibration, spalling and cracking of the exterior wall, collapse of the upper operating platform and cracking of the top plate;(ii) the blast wave and cavitation zone generated between the bubble and the exterior wall are the two primary causes of damage to caisson wharf;(iii) compared to the saturated calcareous sand seabed, the assumption of rigid seabed underestimates the spalling on the exterior wall, which is not recommended for scenarios where cavitation zones may generate;(iv) rock rubble is the most effective infill material in improving the blast resistance of caisson wharf among four types of infill configurations, i.e., fully filled and half-filled saturated calcareous sand, rock rubble and pure water;(v) the standoff distance of 10.2 m is regarded as a secure protective range in the scenarios discussed currently. As the standoff distance decreases and the depth of burst increases, the spalling of the exterior wall induced by the cavitation intensifies, posing a great threat to the functionality of caisson wharf. 展开更多
关键词 Caisson wharf Underwater explosion Blast resistance Performance evaluation Numerical simulation
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Comprehensive quality evaluation and principal component analysis of Crassostrea gigas from North Yellow Sea,China:characterizing nutritional,flavor,and functional profiles 认领 引用
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作者 Shanqin HUO Jixing PENG +3 位作者 Xinnan ZHAO Yichen LIN Xudong LI Zhijun TAN 《Journal of Oceanology and Limnology》 SCIE CAS CSCD 2026年第1期406-418,共13页
Crassostrea gigas has good taste and high nutritional value;however,there are few assessments of comprehensive and panoramic analyses of the nutritional quality of the northern oyster.To study the nutritional characte... Crassostrea gigas has good taste and high nutritional value;however,there are few assessments of comprehensive and panoramic analyses of the nutritional quality of the northern oyster.To study the nutritional characteristics of C.gigas from different sources(ploidy,region,size,and culture mode),C.gigas from various ploidy(diploid and triploid),regions(Rushan,Off-site fattening,and Rongcheng),sizes(small,medium,and large)and culture modes(nearshore and offshore)were selected for comparative analyses.The nutritional components(moisture,protein,fat,and mineral),flavor substances(taste amino acids,nucleotides,and succinic acid),and functional indices(eicosapentaenoic acid(EPA),docosahexaenoic acid(DHA),and taurine)of C.gigas were determined.Principal component analysis(PCA)was used to comprehensively evaluate the oysters and investigate the variations in nutritional quality.The PCA results indicate that protein,essential fatty acids,selenium,zinc,taste amino acids,taurine,EPA,and DHA were core components contributing to 82.25%of the cumulative variance,providing a more comprehensive reflection of the nutrient composition of C.gigas.The extensive quality rankings for the C.gigas were as follows:diploid>triploid,Rushan>fattening>Rongcheng,medium>large>small,and offshore>nearshore.The score rank revealed that diploid oysters of medium-size from Rushan demonstrated superior nutritional quality compared to other tested samples.This is the first comprehensive and systematic investigation of C.gigas in northern China to reveal the feature of nutrients,flavor,and functional components.The study provided data support for the culture,consumption,processing,research,and nutritional quality improvement of oyster industry. 展开更多
关键词 Crassostrea gigas nutritional quality principal component analysis comprehensive evaluation
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Infiltration enhancement mechanism and surface morphology evaluation of ultrasonic-assisted microtextured tool turning Ti-6Al-4V with nanobiolubricant 认领 引用
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作者 Xiaoming Wang Yanbin Zhang +7 位作者 Mingzheng Liu Teng Gao Min Yang Liandi Xu Haiyuan Xin Rui Xue Peiming Xu Changhe Li 《ENGINEERING Mechanical Engineering》 SCIE CAS CSCD 2026年第2期105-128,共24页
Titanium alloy serves as a critical structural material for aircraft and engine components.During the manufacturing of these titanium parts,machining,particularly turning,is a fundamental process.However,continuous tu... Titanium alloy serves as a critical structural material for aircraft and engine components.During the manufacturing of these titanium parts,machining,particularly turning,is a fundamental process.However,continuous turning faces a significant bottleneck:severe tool wear caused by insufficient lubricant infiltration at the tool-workpiece interface and excessive cutting forces.The nanobiolubricant minimum quantity lubrication(NMQL)turning process of biomimetic textured cutting tools empowered by ultrasound is considered to have the potential to solve the problem of tool wear during titanium alloy cutting.Nevertheless,the lubricant infiltration dynamics mechanism and tribological properties under the new process are unclear.Based on this,the synergistic effect of ultrasonic vibration on lubricant infiltration and migration was first analyzed.Subsequently,research has been conducted on the frictional properties and surface damage characteristics of four working conditions:dry cutting,NMQL,textured tool assisted NMQL(T-NMQL),and ultrasonic vibration empowered T-NMQL(UVT-NMQL).Surface roughness,surface morphology,cutting specific energy,chip morphology,and tool wear analysis have also been carried out.Furthermore,wavelet analysis has been introduced to decompose surface roughness signals into high and low frequencies,enriching the quantitative evaluation system for surface damage of titanium alloy cutting workpieces.The average cutting specific energies under dry cutting,NMQL,T-NMQL,and UVT-NMQL conditions were determined to be 2.32,2.18,2.01,and 0.78 J/mm3,respectively.Based on the wavelet decomposition results of surface roughness signals,it was found that the surface damage energy of NMQL,T-NMQL,and UVT-NMQL conditions decreased by 28.84%,67.71%,and 82.12%,respectively,compared to dry cutting conditions.The infiltration enhancement effect of ultrasonic vibration is considered important reasons for reducing damage signal energy.These results provide novel research insights for evaluating surface properties in ultrasonic vibration-assisted machining processes. 展开更多
关键词 turning ultrasonic vibration microtexture minimum quantity lubrication titanium alloy surface evaluation
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Quantitative evaluation of coal fracability based on 3D CT reconstruction and fractal characteristics 认领 引用
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作者 Fanhui Zeng Weixin Yang +3 位作者 Jianchun Guo Ran Zhang Yu Zhang Zhangxing Chen 《Natural Gas Industry B》 2026年第1期60-76,共17页
Fracability is a critical indicator for evaluating the exploration and development potential of coalbed methane reservoirs and assessing the effectiveness of hydraulic fracturing stimulation operations.Its core functi... Fracability is a critical indicator for evaluating the exploration and development potential of coalbed methane reservoirs and assessing the effectiveness of hydraulic fracturing stimulation operations.Its core function is to characterize the complexity of the induced fracture network and the resulting effective stimulated volume.In this study,we quantified fracture area and geometric complexity using true triaxial fracturing experiments and computed tomography three-dimensional(3D)reconstruction technology,combined with the box-counting method to calculate the 3D fractal dimension of the fracture surfaces.The results revealed that the total fracture surface area per unit volume of the stimulated reservoir effectively characterized reservoir fracability;specifically,both a larger total fracture surface area and a higher fractal dimension corresponded to better reservoir fracability.Fracture complexity was enhanced by a decrease in the horizontal principal stress difference or an increase in the injection rate.Under optimal conditions of a 3 MPa stress difference and an injection rate of 60 mL/min,fracability improved by 27.6%.Furthermore,liquid carbon dioxide(CO2)improved fracability by 50.7%compared to using water as the fracturing fluid,a result attributed to its low viscosity and strong diffusion capacity,which activated a greater number of natural fractures.A fracability evaluation model integrating brittleness,fracture toughness,and dimensionless net pressure was developed using regression analysis,which demonstrated high reliability with a strong determination coefficient(R2)of 0.9019.This study clarifies the logical relationships among fracture area,complexity,and fractal dimension,providing a novel method for evaluating the fracability of coal reservoirs. 展开更多
关键词 Coal Fracability evaluation 3D reconstruction Fractal dimension Fracture area
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Comparative evaluation of single-mask and single-shot X-ray phase-contrast and dual-energy computed tomography analyses on soft-tissue phantom 认领 引用
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作者 Chang Li Xiao-Xuan Ren +6 位作者 Liang-Liang Lv Shu-Yi Sun Jian Zhang Yin-Qi Lei Xiao-Dong Pan Cui Zhang Gong-Ping Li 《Nuclear Science and Techniques》 SCIE EI CAS CSCD 2026年第5期241-251,共11页
In clinical diagnosis,conventional X-ray absorption-contrast computed tomography(XACT)technology cannot effectively differentiate diseased tissues from the healthy ones.X-ray phase-contrast CT(XPCT)and dual-energy CT(... In clinical diagnosis,conventional X-ray absorption-contrast computed tomography(XACT)technology cannot effectively differentiate diseased tissues from the healthy ones.X-ray phase-contrast CT(XPCT)and dual-energy CT(DECT),emerging X-ray imaging technologies with superior diagnostic capabilities,address this issue through different principles.While both XPCT and DECT have advantages and disadvantages in medical applications,their systematic comparison is lacking.Using GEANT4 and MATLAB,in this study,we established an X-ray phase-contrast imaging(XPCI)model based on single-mask and single-shot edge illumination for fast XPCT imaging,comparing it with DECT on soft-tissue phantom.XACT served as a reference for comparison.The study introduces an evaluation system using statistical measures including absolute error,mean absolute error,structure similarity index measure,peak signal-to-noise ratio,and contrast-to-noise ratio.Results show XPCT images are superior to DECT.The XPCI model can be improved on existing medical CT for widespread medical application. 展开更多
关键词 Comparative evaluation X-ray phase-contrast CT Edge illumination Dual-energy CT GEANT4
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Can ChatGPT be a Good Follower of Academic Paradigms?Research Quality Evaluations in Conflicting Areas of Sociology 认领 引用
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作者 Mike Thelwall Ralph Schroeder Meena Dhanda 《Journal of Data and Information Science》 CSCD 2026年第2期154-164,共11页
Purpose:It has become increasingly likely that Large Language Models(LLMs)will be used to score the quality of academic publications to support research assessment goals in the future.This may cause problems for field... Purpose:It has become increasingly likely that Large Language Models(LLMs)will be used to score the quality of academic publications to support research assessment goals in the future.This may cause problems for fields with competing paradigms since there is a risk that one may be favoured,causing long term harm to the reputation of the other.Design/methodology/approach:To test whether paradigm favouritism is plausible,study 1 uses ChatGPT to evaluate up to 100 journal articles from each of eight pairs of competing sociology paradigms(1,490 altogether).Each article was assessed by prompting ChatGPT to take one of five roles:paradigm follower,opponent,antagonistic follower,antagonistic opponent,or neutral.Study 2 involved five pairs of more tightly defined paradigms.Findings:Articles were scored highest by ChatGPT when it followed the aligning paradigm,and lowest when it was told to devalue it and to follow the opposing paradigm.Broadly similar patterns occurred for most of the paradigm pairs.Follower ChatGPTs displayed only a small amount of favouritism compared to neutral ChatGPTs,but articles evaluated by an opposing paradigm ChatGPT had a substantial disadvantage in some cases.Research limitations:The data covers a single field and LLM.Practical implications:The results confirm that LLM instructions for research evaluation should be carefully designed to ensure that they are paradigm-neutral to avoid accidentally resolving conflicts between paradigms on a technicality by devaluing one side’s contributions.Originality/value:This is the first demonstration that LLMs can be prompted to show a partiality for academic paradigms. 展开更多
关键词 paradigms research evaluation Large Language Models sociology research methods
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How would travel contexts affect people’s perceptions and evaluations of urban green space? 认领 引用
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作者 Yang Liu Jianying Wang +2 位作者 Mei-Po Kwan Dong Liu Liuyi Song 《Geography and Sustainability》 CSCD 2026年第2期102-115,共14页
Urban green space may impact human health through complex pathways and the effect can vary across different travel contexts.Revealing these disparities in health pathways between different travel contexts may provide ... Urban green space may impact human health through complex pathways and the effect can vary across different travel contexts.Revealing these disparities in health pathways between different travel contexts may provide essential and practical suggestions for sustainable developments in urban environments.In this study,we investi gated the impacts of travel contexts on people’s perceptions and evaluations of green space using a cross-sectional dataset collected in Hong Kong,China.Eight hundred participants in 4 representative communities were recruited through stratified sampling,and we identified 2,913 travel events from their two-day activity-travel diaries after rigorous cross-validation with GPS-derived trajectories.We also derived two green space exposure representa tions using fine-grained remote sensing imagery and 8 representative green space exposure indicators.Eighty logistical regression models and mixed-effects models were developed to investigate the associations with con trol of a range of potential uncertainties.Our results indicate solid and consistently positive associations between participants’measured green space exposure and perceived green space,and significant but variable effects of travel purposes,travel modes,and travel time on participants’perceptions and evaluations of green space.Walk ing significantly promotes participants’perceptions and positive evaluations of urban green space,buses are not significantly associated,and metro trains may depress the perception and evaluation.Our results provide solid evidence on how travel contexts may influence people’s perceptions and evaluations of urban green space and,thus,provide essential insights into environmental health studies and sustainable urban planning that consider green space as an important urban environmental setting. 展开更多
关键词 Green space Perception and evaluation Exposure measurements Travel contexts Urban planning Well-being
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Predictable and Unpredictable Modes of Northern Hemisphere Atmospheric Circulation in CMIP6:Evaluation and Projections 认领 引用
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作者 Kairan YING Dabang JIANG Linhao ZHONG 《Advances in Atmospheric Sciences》 SCIE CAS CSCD 2026年第1期135-156,共22页
Climate models are essential for understanding past,present,and future changes in atmospheric circulation,with circulation modes providing key sources of seasonal predictability and prediction uncertainties for both g... Climate models are essential for understanding past,present,and future changes in atmospheric circulation,with circulation modes providing key sources of seasonal predictability and prediction uncertainties for both global and regional climates.This study assesses the performance of models participating in phase 6 of the Coupled Model Intercomparison Project in simulating interannual variability modes of Northern Hemisphere 500-hPa geopotential height during winter and summer,distinguishing predictable(potentially predictable on seasonal or longer timescales)and unpredictable(intraseasonal and essentially unpredictable at long range)components,using reanalysis data and a variance decomposition method.Although most models effectively capture unpredictable modes in reanalysis,their ability to reproduce dominant predictable modes-specifically the Pacific-North American pattern,Arctic Oscillation,and Western Pacific Oscillation in winter,and the East Atlantic and North Atlantic Oscillations in summer-varies notably.An optimal ensemble is identified to distinguish(a)predictable-external modes,dominated by external forcing,and(b)predictable-internal modes,associated with slow internal variability,during the historical period(1950-2014)and the SSP5-8.5 scenario(2036-2100).Under increased radiative forcing,the leading winter/summer predictable-external mode exhibits a more uniform spatial distribution,remarkably larger trend and annual variance,and enhanced height-sea surface temperature(SST)covariance under SSP5-8.5 compared to historical conditions.The dominant winter/summer predictable-internal modes also exhibit increased variance and height-SST covariance under SSP5-8.5,along with localized changes in spatial configuration.Minimal changes are observed in spatial distribution or variance for dominant winter/summer unpredictable modes under SSP5-8.5.This study,from a predictive perspective,deepens our understanding of model uncertainties and projected changes in circulations. 展开更多
关键词 interannual mode of atmospheric circulation CMIP6 predictable unpredictable evaluation projection
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Comparison of predictive values of Acute Physiology and Chronic Health Evaluation scores for mortality in sepsis:a systematic review and meta-analysis 认领 引用
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作者 Ping Xu Wei You +1 位作者 Shihao Liu Cheng Zhang 《World Journal of Emergency Medicine》 SCIE CAS CSCD 2026年第4期312-321,共10页
BACKGROUND:Acute Physiology and Chronic Health Evaluation(APACHE)scores are widely used in emergency medicine and critical care settings,yet their prognostic accuracy for sepsis-related mortality across different vers... BACKGROUND:Acute Physiology and Chronic Health Evaluation(APACHE)scores are widely used in emergency medicine and critical care settings,yet their prognostic accuracy for sepsis-related mortality across different versions remains to be assessed thoroughly.This study aimed to compare the pooled prognostic performance of APACHEⅡ,Ⅲ,andⅣin predicting in-hospital mortality in patients with sepsis.METHODS:We conducted a systematic review and meta-analysis by searching for articles in the Pub Med,Embase,Web of Science,and Cochrane databases,with a publication date range from February 23,2016,to June 8,2024.Random effects models were employed to analyse pooled data,focusing on key metrics such as the area under the curve(AUC),diagnostic odds ratio(DOR),sensitivity,specificity,positive likelihood ratio(PLR),and negative likelihood ratio(NLR).RESULTS:A total of 33 articles were analyzed,3 of which examined multiple APACHE scores.These articles collectively involved 60,041 patients:25 articles with 9,619 patients assessed APACHEⅡ,4 articles with 32,862 patients assessed APACHEⅢ,and 8 articles with 21,741 patients assessed APACHEⅣ.The AUC for in-hospital mortality improved progressively across versions:0.75(95%CI 0.66–0.83)for APACHEⅡ,0.81(95%CI 0.73–0.89)for APACHEⅢ,and 0.85(95%CI:0.78–0.92)for APACHEⅣ.APACHEⅣshowed numerically more favorable pooled prognostic estimates,with a DOR of 2.76(95%CI 2.08–3.78),sensitivity of 0.78(95%CI 0.66–0.86),specificity of 0.83(95%CI 0.68–0.92),PLR of 4.29(95%CI 2.33–7.89),and NLR of 0.28(95%CI 0.17–0.46).CONCLUSION:APACHEⅣdemonstrated the superior prognostic accuracy to the other versions for sepsis-related mortality.With the increasing adoption of automated calculations through standardized software,APACHEⅣmight be incorporated into routine clinical workflows. 展开更多
关键词 Acute Physiology and Chronic Health Evaluation scores Sepsis Mortality prediction Prognostic accuracy Meta-analysis
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Evaluation of the Tourism Consumption Environment for Generation Z in China’s Major Tourist Cities 认领 引用
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作者 WANG Xinyue LIU Yajing +1 位作者 ZHAO Shiyao LI Yunfei 《Chinese Geographical Science》 SCIE CAS CSCD 2026年第5期897-910,共14页
The rise of Generation Z(Gen Z)is reshaping China’s domestic tourism consumption market,underscoring the urgent need to develop a Gen Z-friendly tourism consumption environment.To address the lack of targeted evaluat... The rise of Generation Z(Gen Z)is reshaping China’s domestic tourism consumption market,underscoring the urgent need to develop a Gen Z-friendly tourism consumption environment.To address the lack of targeted evaluation frameworks tailored to Gen Z’s tourism demands,this study constructed an innovative four-dimensional evaluation system(tourism industry environment,tourism infrastructure environment,new forms of tourism environment,tourism digital environment).From an integrated endogenous-exogenous perspective,it examined the overall level,spatial differentiation,and influence mechanisms of such environments in major tourist cities in China.Based on data from 36 major tourist cities in China,the entropy weight-Technique for Order Preference by Similarity to Ideal Solution(TOPSIS)model,barrier degree model,and Fuzzy-set qualitative comparative analysis(fsQCA)were adopted to conduct empirical analysis,enriching tourism consumption environment theory by incorporating Gen Z’s unique demands and a dual analytical perspective.The results revealed that:1)major tourist cities can be classified into three types(leading,advantaged,potential)with distinct regional traits;2)the barrier degree model analysis identified digital tourism environment development as a universal bottleneck across all three types;3)fsQCA identified four exogenous causal configurations(Leisure Experience Empowerment,Innovation-Driven Development,Weak Digital Infrastructure,Insufficient Supporting Conditions)and proposed targeted optimization strategies.These findings provide both theoretical and practical references for policies to optimize Gen Z-friendly tourism consumption environments. 展开更多
关键词 Generation Z(Gen Z) tourism consumption environment consumption environment evaluation system influence mechanisms China
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Performance evaluation and optimization of emulsified asphalt cold recycled mixtures using dual-recycled RAP and RAI materials 认领 引用
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作者 Haibin Li Siyu He +5 位作者 Siqian Dang Anfan Shang Jianzhou Ren Qinkun Liu Dong Zhao Fayong Yang 《Journal of Road Engineering》 EI CAS 2026年第1期148-159,共12页
In recent years,the amount of waste generated during milling has increased dramatically,and improper disposal poses a significant environmental challenge.To mitigate environmental pollution and enhance the road perfor... In recent years,the amount of waste generated during milling has increased dramatically,and improper disposal poses a significant environmental challenge.To mitigate environmental pollution and enhance the road performance of emulsified asphalt cold recycled mixtures(ECRM),this study employed recycled asphalt pavement(RAP)and reclaimed inorganic binder stabilized aggregate(RAI)as dual recycled materials for ECRM preparation.The blending ratios of reclaimed base and surface layer mixtures significantly influence ECRM's performance,with adjusted proportions substantially improving compressive strength and dynamic modulus.Firstly,three distinct proportioning options were developed for the recycled materials.Mix designs incorporating varying RAP/RAI ratios were used to determine the optimal mix parameters:moisture content,cement dosage,and emulsified asphalt content.Subsequently,comprehensive performance evaluations were conducted through high-temperature wheel tracking tests,freeze-thaw splitting tests,uniaxial compression tests,and dynamic modulus measurements to analyze the pavement characteristics of the three ECRM formulations.Experimental results demonstrate:Compared with ECRM with a blending ratio of RAP:RAI:new aggregate=30:50:20(Option 1),the dynamic stability,freeze-thaw splitting strength ratio,compressive strength,and compressive resilient modulus of ECRM under Option 3(RAP:RAI:new aggregate=50:30:20)decreased by 31.8%,5.2%,16.4%,and 13.1%,respectively.This indicates that increasing RAP content while reducing RAI proportion enhances the tensile strength of ECRM,yet adversely affects its high-temperature stability,moisture resistance,and compressive performance.This work not only addresses the challenge of jointly utilizing asphalt pavement waste and base waste,but also provides a cost-effective and sustainable method for the stable application of milling material resources in road engineering. 展开更多
关键词 Emulsified asphalt cold recycled mixtures Recycled asphalt pavement Recycled cement-stabilized aggregate Pavement performance evaluation
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Multi-dimensional comprehensive evaluation reveals the quality trait characteristics of wheat cultivars in the Huang-Huai wheat region of China 认领 引用
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作者 Zhipeng Shi Guohao Han +9 位作者 Tiantian Gu Hanwen Yan Yujie Chang Shiyu Zhuo Lijun Cao Lixian Xing Yuping Liu Xiaofang Li Yelun Zhang Diaoguo An 《Journal of Integrative Agriculture》 SCIE CAS CSCD 2026年第6期2299-2313,共15页
Wheat(Triticum aestivum L.)quality is a major focus of wheat breeding that is infiuenced by multiple factors.The HuangHuai wheat region is one of the main wheat-producing areas in China,and it has favorable conditions... Wheat(Triticum aestivum L.)quality is a major focus of wheat breeding that is infiuenced by multiple factors.The HuangHuai wheat region is one of the main wheat-producing areas in China,and it has favorable conditions for cultivating wheat cultivars with strong-gluten and medium-strong-gluten.In this study,a systematic assessment of seven crucial quality traits and two important genetic loci(Glu-1 and Sec-1)in 436 wheat cultivars in the Huang-Huai wheat region of China by principal component analysis(PCA)and fuzzy comprehensive evaluation(FCE)methods identified the stability time(ST),stretch area(SA),and maximum resistance(MAXR)as three key factors which significantly infiuence wheat quality.Glu-1 and Sec-1 primarily impacted these three traits and subsequently influenced wheat quality.Compared to Glu-A1 and Glu-B1,Glu-D1 has a more significant impact on the comprehensive evaluation value D,principal components PC1–PC3,and the main traits ST,SA and MAXR of PC1.Wheat cultivars carrying the high-molecular-weight glutenin subunit(HMWGS)Dx5+Dy10 exhibited notable improvements in the ST,SA,and MAXR traits compared with those carrying HMW-GS Dx2+Dy12,suggesting that Dx5+Dy10 may enhance wheat quality by improving those traits.By combining the results of the D value,genotype by yield×trait(GYT)index,and HMW-GS score,20 high-quality and high yielding wheat cultivars were identified,which can be used as elite parents for wheat quality breeding. 展开更多
关键词 wheat quality comprehensive evaluation value high-molecular-weight glutenin subunits Sec-1 locus genotype by yield×trait
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Enhancing FIT-based colorectal cancer screening through risk prediction:a comparative evaluation of 17 models in a large Chinese cohort 认领 引用
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作者 Le Wang Weimiao Wu +14 位作者 Bin Liu Chen Zhu Yumeng Ding Yi Zhou Weiwei Chen Lijuan Dai Xueni Chen Yuefan Shen Tingting Pan Xiaohui Sun Huizhang Li Dong Hang Yingying Mao Partha Basu Lingbin Du 《Cancer Biology & Medicine》 SCIE CAS CSCD 2026年第7期1031-1037,共7页
Colorectal cancer(CRC),the third most common cancer and the second leading cause of cancer-related death globally,is responsible for more than 1.9 million new cases and 0.9 million deaths reported annually1.Randomized... Colorectal cancer(CRC),the third most common cancer and the second leading cause of cancer-related death globally,is responsible for more than 1.9 million new cases and 0.9 million deaths reported annually1.Randomized controlled trials and cohort studies have demonstrated that screening can significantly decrease CRC incidence and mortality2.Current screening guidelines primarily recommend CRC screening for individuals at average risk,typically starting at predefined ages2. 展开更多
关键词 risk prediction comparative evaluation cohort studies fit based randomized controlled trials controlled trials colorectal cancer screening colorectal cancer crc
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