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From Traces to Teaching:A Socio-Technical Framework for Process-Based Assessment in an Age of Distributed Cognition 认领 引用
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作者 Alexander LEE 《Artificial Intelligence Education Studies》 2025年第3期43-55,共13页
Generative AI severs the link between polished products and genuine learning,exposing the limits of outcome-only assessment.This paper advances a socio-technical framework for Al-enabled process-based assessment(PBA)t... Generative AI severs the link between polished products and genuine learning,exposing the limits of outcome-only assessment.This paper advances a socio-technical framework for Al-enabled process-based assessment(PBA)that reframes evaluation as continuous diagnosis embedded in learning.A five-stage pipeline-task→trace→model→feedback→validation-aligns pedagogical intent with instrumentation of interaction,dis-course,and multimodal evidence,and treats the human Al pair as the unit of analysis within a distributed cognition perspective.Methodologically,the framework maps trace types to appropriate model families(e.g.,sequential pattern mining,HMMs,NLP)while requiring explainability so insights are actionable.For practice,it specifies teacher AI orchestration roles that preserve human judgment and defines governance protocols for privacy,fairness,transparency,and cultural responsiveness.The result is a principled route to assess complex problem solving with integrity in the age of generative AI. 展开更多
关键词 Process-Based Assessment Distributed Cognition Digital Traces Explainable AI Teacher AI Orches-tration
Energy absorption mechanism and cost-benefit assessment of UHMWPE and para-aramid hybrid fabrics for protective structures 认领 引用 被引量：1
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作者 Bo Feng Hongming Li +3 位作者 Jianhua Shao Zhijun Wang Chuang Feng Jitao Zhong 《Defence Technology（防务技术）》 SCIE EI CAS CSCD 2026年第3期363-376,共14页
UHMWPE(Ultra-High Molecular Weight Polyethylene)plain-weave fabric,characterized by its lightweight and high-strength properties,is widely used in protective equipment such as bulletproof vests and stab-resistant vest... UHMWPE(Ultra-High Molecular Weight Polyethylene)plain-weave fabric,characterized by its lightweight and high-strength properties,is widely used in protective equipment such as bulletproof vests and stab-resistant vests,serving as a key material for enhancing protective performance.This study systematically investigates the influence mechanism of interfacial properties on the energy absorption characteristics of UHMWPE-based protective structures through multi-scale experiments and numerical simulations,and establishes a cross-scale design methodology.Innovatively,an orthotropic constitutive model incorporating dynamic friction coefficients is constructed,combined with a modified Johnson-Cook failure criterion,to achieve high-precision simulation of the entire ballistic impact process(error<3.5%).Additionally,a friction field prediction model considering strain rate effects is developed,and the friction evolution laws of UHMWPE and Para-aramid(Kevlar)fabrics under strain rates of 10−3 and 10−4 s−1 are obtained through MTS pull-out tests.The results show that:(1)there exists a critical yarn-yarn friction coefficient(μ=0.2);exceeding this value leads to a 19%reduction in energy absorption capacity,while viscous interfaces increase the energy dissipation peak by 16%;(2)UHMWPE shows kinetically-dominated absorption(58%)with high rate but high load,increasing damage risk.Para-aramid has friction-dominated absorption(53%)with a lower rate but stable load.Hybrid fabrics use potential-dominated absorption(49%)at a moderate rate,balancing stability and protection.(3)3–5 layers of UHMWPE fabric yield optimal cost-effectiveness,with the unit cost reduction rate of the HS+5U scheme reaching 2.74 m/(s·$),which is 91%higher than that of the hybrid scheme.(4)For HS+5U(5-ply UHMWPE),V50 is 520 m/s,meeting primary protection requirement.For hybrid solutions with U/K≥3(e.g.,HS+6U+2K),V50 reaches 580 m/s(≥540 m/s),satisfying advanced protection requirement.This research provides critical references for the design of flexible protective structures and their engineering applications. 展开更多
关键词 UHMWPE Interfacial friction Multi-scale representation Energy absorption mechanism Cost-benefit assessment
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Landslide susceptibility assessment integrating deep transfer learning and physical models in the Baihetan reservoir area,China 认领 引用 被引量：1
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作者 Ming Peng Yue Wang +5 位作者 Chenyi Ma Haojie Wang Shaoqiang Meng Zhenming Shi Weijiang Chu Jianrong Xu 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2026年第6期4382-4401,共20页
Reservoir landslides pose significant risks to hydropower projects,potentially leading to catastrophic disasters that threaten downstream lives and properties.Landslide susceptibility assessments are critical for effe... Reservoir landslides pose significant risks to hydropower projects,potentially leading to catastrophic disasters that threaten downstream lives and properties.Landslide susceptibility assessments are critical for effective regional disaster prevention and mitigation.However,the complexity,model uninterpretability,and data scarcity related to reservoir landslides,particularly when adapting models across diverse geographic regions,present significant challenges.This study proposes an interpretable Deep Transfer Learning model coupled with multi-source data and Physical methods(DTLP).The model is trained on multi-source data from the Three Gorges Reservoir Area(TGRA)and Lower Jinsha River Basin(LJRB),tested in Baihetan Reservoir Area(BHT),addressing the issues of limited data and cross-regional generalization.The physical method captures the effect of dynamic water level changes on slope stability.SHAP values are used to interpret the model,providing clear insights into its internal mechanisms.Results demonstrate that DTLP outperforms TrAdaBoost in data-scarce regions,achieving higher accuracy(AUC=0.953,Accuracy=0.941)with better feature generalization and susceptibility zone identification.Incorporating dynamic water level changes into the physical model enhances identification of high-susceptibility areas and reduces misclassifications.SHAP analysis indicates that elevation,lithology,and distance to river significantly influence the model decisions.Using TGRA as the source domain further validates the superiority of DTLP framework.However,due to the initial discrepancies between TGRA and the target domain,the transferability is constrained to some extent,resulting in models trained on LJRB data outperforming those trained on TGRA data. 展开更多
关键词 Landslide susceptibility assessment Deep transfer learning Reservoir landslides Infiniteslope model SHAP values
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Constructing a Dynamic Trust Assessment Mechanism Combining Zero Knowledge Proof with Unsupervised Learning 认领 引用 被引量：1
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作者 Nai-Wei Lo Cheng-I Lin +2 位作者 Chih-Chieh Chang Chi-Yang Chang Tran Thi Luu Ly 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第4期1343-1368,共26页
The growing frequency of malicious attacks on Internet of Things(IoT)devices has rendered conventional approaches with static label-dependent risk assessment models obsolete,especially when coping with unknown and con... The growing frequency of malicious attacks on Internet of Things(IoT)devices has rendered conventional approaches with static label-dependent risk assessment models obsolete,especially when coping with unknown and continuously evolving threats.To mitigate these challenges,a novel dynamic trust evaluation framework approach is proposed in this work.The proposed framework utilized unsupervised learning and zero-knowledge proofs to assess device risks in complex environments adaptively,with an accuracy rate of 98.96%for normal clustering and 95.39%for anomalies.K-means clustering algorithm is leveraged to distinguish risk patterns with an additional Decision Tree classification algorithm to analyze the distinguishing characteristics of the behaviors of normal and anomalous devices.The architecture is evaluated in a simulated environment based on real device interaction,with various malicious attacks proportions.In addition,Zero Trust Architecture is integrated into this novel framework to ensure no implicit trust exists between devices,which enforces trust assessment before any collaboration or data exchange. 展开更多
关键词 Zero knowledge proof zero trust architecture decision tree trust assessment unsupervised learning
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Toward phase contribution assessment in perioperative oncology:insights from NSCLC and a proposal for broader implementation 认领 引用
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作者 Hui-Yao Huang Yan-Jie Han +3 位作者 Yu Tang Ning Jiang Da-Wei Wu Ning Li 《Military Medical Research》 SCIE CAS CSCD 2026年第2期332-334,共3页
Dear Editor,On July 25,2024,an Oncologic Drugs Advisory Committee meeting was held to discuss the design of the AEGEAN trial,which evaluated the perioperative use of durvalumab for resectable non-small cell lung cance... Dear Editor,On July 25,2024,an Oncologic Drugs Advisory Committee meeting was held to discuss the design of the AEGEAN trial,which evaluated the perioperative use of durvalumab for resectable non-small cell lung cancer(NSCLC)[1].The Food and Drug Administration(FDA)stated that the two-arm trial was not designed to isolate contributions of neoadjuvant and adjuvant phases.Since the clinical benefit of adjuvant durvalumab remains uncertain,this limitation raises concerns about potential over-treatment. 展开更多
关键词 Perioperative regimen Phase contribution assessment Clinical trial
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Distribution characteristics,source apportionment and risk assessment of heavy metal pollution in typical redevelopment sites in Jinshan District,Shanghai,China 认领 引用
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作者 Cheng Shen Chenyan Sha +7 位作者 Tianhao He Zhongchun Yan Xiurong Chen Kuangfei Lin Haichao Chen Jian Wu Ye Li Min Liu 《Journal of Environmental Sciences》 SCIE EI CAS CSCD 2026年第5期197-208,共12页
As urban renewal accelerates,heavy metals(HMs)pollution resulting from industrial activities in urban areas must be considered.This study examines 36 representative redevelopment industrial sites in the Jinshan Distri... As urban renewal accelerates,heavy metals(HMs)pollution resulting from industrial activities in urban areas must be considered.This study examines 36 representative redevelopment industrial sites in the Jinshan District of Shanghai,where the concentrations of eight HMs in the soil were assessed.Based on this data,the characteristics of heavy metal concentrations and their sources in the region were investigated,followed by a risk assessment of HMs pollution.The results indicate that the soil in the study area exhibits low levels of pollution,with moderate ecological risks.Using Pearson correlation analysis and the Absolute Principal Component Score-Multiple Linear Regression(APCS-MLR)source apportionment model,the HMs were categorized into several sources:An industrial source dominated by Cu(74.84%),a traffic source dominated by Zn(67.51%),a natural source dominated by Cr and As(66.50%and 64.98%,respectively),and a mixed source.A probabilistic risk assessment was conducted using Monte Carlo simulation,which incorporates the probability distributions of various assessment parameters,thereby reducing uncertainty in the results.The findings show that the non-carcinogenic risk for all populations in the study area(children,adult females,and adult males)remains within acceptable limits.However,the carcinogenic risk proportional probabilities for these populations were found to be 48.13%,32.49%,and 11.41%,respectively,indicating a notable risk level.Uncertainty analysis results suggest that the heavy metals Cd and As exhibit high sensitivity in the model.This study provides theoretical support for the prevention and control of soil pollution during urban renewal. 展开更多
关键词 Redevelopment site Heavy metal Source apportionment Risk assessment
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A Study on the Coastal Water Environment Health Assessment of the Yellow River Estuary Based on Remote Sensing Inversion Data 认领 引用
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作者 LI Lianwei ZHENG Zhi +3 位作者 MA Yingying XUE Cunjin SUN Baojian WANG Yu 《Journal of Ocean University of China》 SCIE CAS CSCD 2026年第2期553-567,共15页
The assessment of aquatic environmental health plays a vital role in the sustainable protection and management of coastal ecosystems,particularly in the Yellow River Estuary-one of China's most representative estu... The assessment of aquatic environmental health plays a vital role in the sustainable protection and management of coastal ecosystems,particularly in the Yellow River Estuary-one of China's most representative estuarine systems.To address the limitations of existing health assessment studies,which are often constrained by point-based observations lacking spatial continuity and comprehensiveness,this study integrates multiple remotely sensed surface data to perform a comprehensive health assessment of the nearshore waters of the Yellow River Estuary.An evaluation index system was first developed based on the National Seawater Quality Standards and the specific water quality characteristics of the region.Subsequently,long-term retrievals of key water quality parameters were conducted using Sentinel-2 imagery and in situ measurements from 2016 to 2023,employing the QAA-RF(Quasi-Analytical Algorithm based on Random Forest)algorithm.The Analytic Hierarchy Process(AHP)was used to determine the relative weights of each water quality factor.Through weighted integration,spatially continuous water environmental health assessment datasets were generated,enabling seasonal and annual evaluations and spatiotemporal analyses over the study period.The results indicate that the aquatic environmental health of the nearshore waters exhibits a clear spatial gradient,with poorer water quality in areas closer to the estuary and gradual improvement farther offshore.Seasonal variations are also evident,with poorer water quality observed in spring and winter-reflected by higher proportions of Inferior to Category IV and Category IV water quality(4.07% and 4.65% in spring;1.12% and 3.71% in winter)-and better conditions in summer and autumn(0.51%and 1.42% in summer;0.81% and 2.38% in autumn).On an annual scale,the overall aquatic environmental health of the Yellow River Estuary's nearshore waters remains relatively stable.This study provides a novel,spatially explicit framework for evaluating coastal water environmental health using remote sensing and machine learning approaches.By overcoming the limitations of traditional point-based assessments,it offers valuable insights and a scalable methodology for the continuous monitoring and sustainable management of estuarine and coastal ecosystems. 展开更多
关键词 Yellow River Estuary remote sensing inversion AHP health assessment
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Three-dimensional full-scale neutronics/thermal-hydraulics/mechanics coupling analysis-based structural assessment of helium-cooled ceramic breeder blanket for fusion reactor 认领 引用
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作者 Qiang Lian Kui Zhang +6 位作者 Shan-Shan Bu Liang-Ming Pan Wen-Xi Tian Sui-Zheng Qiu Guang-Hui Su Xing-Hua Wu Xiao-Yu Wang 《Nuclear Science and Techniques》 SCIE EI CAS CSCD 2026年第6期178-195,共18页
To accelerate the development and utilization of fusion energy,the China Fusion Engineering Test Reactor(CFETR)has been proposed as a bridge between the International Thermonuclear Experimental Reactor and demonstrati... To accelerate the development and utilization of fusion energy,the China Fusion Engineering Test Reactor(CFETR)has been proposed as a bridge between the International Thermonuclear Experimental Reactor and demonstration fusion reactors.The primary objective of the CFETR is to achieve fusion energy transformation and tritium self-sufficiency,which is realized through the function of the blanket.In this study,a neutronicshermal-hydraulics/mechanics coupling method is developed and applied to a helium-cooled ceramic breeder(HCCB)blanket,which is one of the two blanket candidates for the CFETR.A three-dimensional full-scale model is utilized in the coupling analysis to obtain the distributions of the neutronic,thermal-hydraulic,and mechanical parameters.A structural assessment of the CFETR HCCB blanket is then conducted considering steady-state conditions and two transient scenarios.The results demonstrate that following optimization of the blanket structure,the maximum temperatures of the different components remain below the safety limit of the corresponding materials.The structural assessment indicates that the blanket maintains its structural integrity under steady-state conditions.However,immediately after an in-box loss-of-coolant accident,structural failure owing to stress concentration may occur.Additionally,in the early stage of a loss-of-flow accident,the stress at the joint point between the cooling plate and cap exceeds the allowable stress of the material,potentially leading to structural failure within 17 s if no protective response is implemented.These findings provide comprehensive insights into the performance and safety of the CFETR HCCB blanket design. 展开更多
关键词 Structural assessment Fusion blanket Three-dimensional full-scale model Coupling analysis CFETR
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Liquefaction assessment method for coral sand sites: A shear wave velocity approach 认领 引用
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作者 Wang Yunlong Wang Yide +5 位作者 Chen Longwei Ma Jiajun Liu Huida Wang Luan Zhang Wenbin Yuan Xiaoming 《Earthquake Engineering and Engineering Vibration》 SCIE EI CSCD 2026年第2期361-378,共18页
Coral sand, commonly found in offshore and marine engineering, is highly susceptible to seismic threats, with liquefaction being a prominent form of seismic damage. Traditional liquefaction assessment methods for terr... Coral sand, commonly found in offshore and marine engineering, is highly susceptible to seismic threats, with liquefaction being a prominent form of seismic damage. Traditional liquefaction assessment methods for terrestrial soils are not applicable to coral sand sites. To address the lack of coral sand liquefaction data, a coupled analysis combining optimized undrained triaxial cyclic tests on saturated coral sand with shear wave velocity(V_s) measurements is presented and a characterization relationship between shear wave velocity and liquefaction strength for coral sand is proposed. Further, by incorporating engineering experience and considering two key parameters commonly used in Chinese liquefaction assessments—groundwater level and burial depth—a technical process for liquefaction assessment in saturated coral sand layers is established. Comparative analysis with existing methods supports the validity of the proposed approach. The method, which was tested retrospectively on Hawaii's Kawaihae Harbor following a M_w 6.7 earthquake in 2006, showed results consistent with actual conditions. This approach is expected to improve as more seismic data becomes available, and it may also inform the development of liquefaction assessment methods for broadly graded coral soil sites. 展开更多
关键词 coral sand earthquake-induced liquefaction shear wave velocity liquefaction assessment burial condition
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Distribution,assessment,and sources of nutrients in river water in the headwaters of the Shule River Basin,Northeastern Qinghai-Tibet Plateau 认领 引用
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作者 Qin Yang Donghui Shangguan +2 位作者 Tianding Han Da Li Asim Qayyum Butt 《Journal of Environmental Sciences》 SCIE EI CAS CSCD 2026年第1期502-511,共10页
Nitrogen(N)and phosphorus(P)are essential nutrients and can significantly impact primary productivity of the ecosystem causing water environmental problems.However,their cycling mechanisms are not well understood in a... Nitrogen(N)and phosphorus(P)are essential nutrients and can significantly impact primary productivity of the ecosystem causing water environmental problems.However,their cycling mechanisms are not well understood in alpine mountains with climate change.Hence,94 samples of river water were collected from 2018 to 2020 in the headwaters of the Shule River Basin to assess the nutrients spatiotemporal distribution and combined ap-proach of water quality index to assess water quality and potential sources.The findings depict that high nutrient concentrations were found to coincide with snowmelt and glacial meltwater and rainfall recharge periods,while total flux peaked from June to September due to increased runoff.Notably,total nitrogen(TN)concentrations were significantly higher near the town,primarily attributed to the replenishment of nitrate(NO3‒-N)from live-stock manure.The high total P(TP)was near the glacier,which was attributed to the transportation of glacial sediments into the river,and pH was another critical factor.N was the primary nutrient limiting factor for the growth of phytoplankton in river water.Although the migration and transport of nutrients have altered with climate change,river water quality is good in alpine mountains based on an overall evaluation.These findings contribute to enriching nutrient datasets and highlight the importance of water resource management and water quality assessment in sensitive and fragile alpine mountains. 展开更多
关键词 Nutrients Spatiotemporal distribution Water quality assessment Potential sources Alpine mountains
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Risk assessment and environmental influencing factors of urinary polycyclic aromatic hydrocarbons metabolites in pregnant women in Zunyi,China 认领 引用
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作者 Jing Yang Jing Jiang +9 位作者 Linfei Wu Pei Xu Nian Wu Rui Yu Yanling Xiao Xingting Zheng Rong Zeng Yuanzhong Zhou Yan Xie Xubo Shen 《Journal of Environmental Sciences》 SCIE EI CAS CSCD 2026年第1期617-623,共7页
Despite the widespread presence and frequent detection of polycyclic aromatic hydrocarbons(PAHs)in various aspects of life,there is limited research on their exposure levels in pregnant women and cumulative exposure f... Despite the widespread presence and frequent detection of polycyclic aromatic hydrocarbons(PAHs)in various aspects of life,there is limited research on their exposure levels in pregnant women and cumulative exposure from the living environment.This study included 1311 women in late pregnancy from the Zunyi birth cohort and measured the urinary concentrations of 10 hydroxylated PAH metabolites(OH-PAHs).Risk assessment was conducted based on the estimated daily intake to calculate the hazard quotient and hazard index(HI).A linear regression model was used to analyze the relationship between creatinine-adjusted OH-PAHs concentrations and living environment and lifestyle factors,while principal component analysis was applied to trace the sources of PAHs exposure.1-OHPYR was detected in all participants’urine,with naphthalene metabolites having the highest concentrations among creatinine-adjusted PAHs.OH-PAHs concentrations were associated with housing type,room number,cooking frequency,household size,exercise frequency,fuel type,distance from main road,and drinking water source.Pregnant women using traditional fuels and living in bungalows had higher health risks than those using clean energy and living in buildings.Those living within 100 m of a main road had higher HI than those farther away.Coal combustion was identified as the primary source of PAHs exposure.The study emphasizes the importance of reducing PAHs exposure,especially for pregnant women living in polluted environments.It recommends public health interventions such as improving indoor ventilation and providing clean energy to reduce related health risks. 展开更多
关键词 Polycyclic aromatic hydrocarbons Pregnant women Environmental factor Daily intake estimation Risk assessment
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Smart Assessment of Flight Quality for Trajectory Planning in Internet of Flying Things 认领 引用
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作者 Weiping Zeng Xiangping Bryce Zhai +3 位作者 Cheng Sun Liusha Jiang Yicong Du Xuefeng Yan 《Computers, Materials & Continua》 SCIE EI 2026年第2期653-667,共15页
With the expanding applications of unmanned aerial vehicles(UAVs),precise flight evaluation has emerged as a critical enabler for efficient path planning,directly impacting operational performance and safety.Tradition... With the expanding applications of unmanned aerial vehicles(UAVs),precise flight evaluation has emerged as a critical enabler for efficient path planning,directly impacting operational performance and safety.Traditional path planning algorithms typically combine Dubins curves with local optimization to minimize trajectory length under 3D spatial constraints.However,these methods often overlook the correlation between pilot control quality and UAV flight dynamics,limiting their adaptability in complex scenarios.In this paper,we propose an intelligent flight evaluation model specifically designed to enhancemulti-waypoint trajectory optimization algorithms.Our model leverages a decision tree to integrate attitude parameters and trajectory matching metrics,establishing a quantitative link between pilot control quality and UAV flight states.Experimental results demonstrate that the proposed model not only accurately assesses pilot performance across diverse skill levels but also improves the optimality of generated trajectories.When integrated with our path planning algorithm,it efficiently produces optimal trajectories while strictly adhering to UAV flight constraints.This integrated framework highlights significant potential for real-time UAV training,performance assessment,and adaptive mission planning applications. 展开更多
关键词 UAV trajectory planning flight quality assessment decision tree
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Comprehensive Hazard Assessment of Tropical Cyclone-Induced Wind,Rainfall,and Storm Surge:A Case Study of Zhejiang Province,China 认领 引用
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作者 Xinli Liao Chenna Meng +4 位作者 Kai Tao Peng Su Qinmei Han Lianjie Qin Wei Xu 《International Journal of Disaster Risk Science》 SCIE CSCD 2026年第3期590-606,共17页
Tropical cyclones pose a significant threat to coastal regions through hazard-inducing factors such as wind,rainfall,and storm surge,whose interactions often lead to amplified impacts.Existing studies often fail to ca... Tropical cyclones pose a significant threat to coastal regions through hazard-inducing factors such as wind,rainfall,and storm surge,whose interactions often lead to amplified impacts.Existing studies often fail to capture the complex dependence among these factors.This study focused on the coastal counties of Zhejiang Province,utilizing numerical simulation data of tropical cyclone-induced winds,rainfall,and storm surges from 1979 to 2022.A joint probability model based on the C-vine copula function was developed to characterize the synergistic mechanisms among these factors,and to analyze return periods and failure probabilities of engineering structures under different hazard scenarios.Furthermore,a comprehensive hazard index was introduced to assess the hazard of tropical cyclone events.The main findings are as follows:(1)The simulated data agreed well with observations,with root mean square errors below 4 m/s for wind and 0.2 m for storm surge,and correlation coefficients all above 0.75.(2)Neglecting multiple factors and their dependence introduced bias in the return period and failure probability estimates.For example,when the exceedance probability for each single factor was 0.05,the mean return period for the three factors under the independence assumption(1.760 years)was 35%shorter than that considering dependence(2.698 years).(3)The comprehensive tropical cyclone hazard in the coastal counties of Zhejiang exhibited a distinct spatial pattern,with higher values in the south and lower values in the north.This study provides a scientific basis for disaster risk management and the design of tropical cyclone protection infrastructure in coastal areas. 展开更多
关键词 C-vine copula Hazard assessment Tropical cyclone Wind-rainfall-storm surge Zhejiang Province
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Environmental sustainability assessment of remediation alternatives for highly contaminated marine sediments 认领 引用
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作者 Alessia Amato Alessandro Becci +2 位作者 Giulia Merli Francesca Beolchini Antonio Dell’Anno 《Journal of Environmental Sciences》 SCIE EI CAS CSCD 2026年第1期731-740,共10页
This study compares the environmental sustainability of five alternatives for the remediation of marine sediments of one of the most polluted coastal sites in Europe(Bagnoli-Coroglio bay,Mediterranean Sea),using the L... This study compares the environmental sustainability of five alternatives for the remediation of marine sediments of one of the most polluted coastal sites in Europe(Bagnoli-Coroglio bay,Mediterranean Sea),using the Life Cycle Assessment(LCA)methodology.The treatments are either in-situ or exsitu,the latter requiring an initial dredging to transport the contaminated sediments to the management site.More in detail,four ex-situ remediation technologies based on landfilling,bioremediation,electrokinetic technique and soil washing were identified.These technologies are compared to an in-situ strategy currently under validation for enhancing bioremediation of the polluted sediments of the Bagnoli-Coroglio site.Our results indicate that the disposal in landfilling site is the worst option in most categories(e.g.,650 kg CO2 eq. of treated sediment,considering the nearest landfilling site),followed by the bioremediation,mainly due to the high energy demand.Electrokinetic remediation,soil washing,and innovative in-situ technology represent the most sustainable options.In particular,the new in-situ technology appears to be the least impacting in all categories(e.g.,54 kg CO2 eq. of treated sediment),although it is expected to require longer treatment time(estimated up to 12 months based on its potential efficiency).It can reduce the impact on climate change more than 12 times compared to the disposal and 7 times compared to bioremediation in addition to the possibility to avoideduce the dredging operations and the consequent dispersion of pollutants.The results open relevant perspectives towards more eco-sustainable and costly effective actions for the reclamation of contaminated marine sediments. 展开更多
关键词 Life cycle assessment Marine sediments contamination Electrokinetic Bioremediation Ex-situ remediation In-situ remediation
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An extended overlay assessment model with process correlation analysis for sub-100-nm accuracy wafer bonding 认领 引用
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作者 Rui Wang Sen Lu +1 位作者 Kaiming Yang Yu Zhu 《Journal of Semiconductors》 EI CAS CSCD 2026年第5期65-77,共13页
To address the demand for sub-100-nm overlay accuracy in wafer bonding for 3D integration,this study proposes an extended overlay assessment model integrating physical mechanisms and data-driven approaches,along with ... To address the demand for sub-100-nm overlay accuracy in wafer bonding for 3D integration,this study proposes an extended overlay assessment model integrating physical mechanisms and data-driven approaches,along with a correlation analysis methodology with process parameters.Rigid-body models inadequately characterize systematic deformations from crystalline anisotropy and process stresses.To overcome this,we construct an extended overlay model based on Zernike polynomials,incorporating physically meaningful terms for precise description of non-uniform wafer deformation.An innovative Zernike term selection strategy combining physics-guided pre-screening and AIC-optimized stepwise regression resolves overfitting/underfitting,enhancing generalizability and interpretability.Validation using patterned wafer geometry(PWG)data shows the model achieves R2>0.70 for both net bonding deformation and lithography-compensable components,demonstrating excellent deformation decomposition.Correlation analysis of multiple process experiments reveals strong correlations(|r|>0.85)between key process parameters(e.g.,peak bonding head force)and specific Zernike modes,providing evidence for suppressing detrimental deformations via process optimization.This research establishes a complete framework from theory to experimental verification and process traceability,laying a foundation for mechanism diagnosis,predictive compensation,and closed-loop control in high-precision wafer bonding. 展开更多
关键词 wafer bonding overlay assessment anisotropic deformation Zernike polynomials process correlation
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Dynamic Adaptive Weighting of Effectiveness Assessment Indicators:Integrating G1,CRITIC and PIVW 认领 引用
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作者 Longyue Li Guoqing Zhang +2 位作者 Bo Cao Shuqi Wang Ye Tian 《Computers, Materials & Continua》 SCIE EI 2026年第2期1127-1152,共26页
Modern battlefields exhibit high dynamism,where traditional static weighting methods in combat effectiveness assessment fail to capture real-time changes in indicator values,leading to limited assessment accuracy—esp... Modern battlefields exhibit high dynamism,where traditional static weighting methods in combat effectiveness assessment fail to capture real-time changes in indicator values,leading to limited assessment accuracy—especially critical in scenarios like sudden electronic warfare or degraded command,where static weights cannot reflect the operational value decay or surge of key indicators.To address this issue,this study proposes a dynamic adaptive weightingmethod for evaluation indicators based onG1-CRITIC-PIVW.First,theG1(Sequential Relationship Analysis Method)subjective weighting method—translates expert knowledge into indicator importance rankings—leverages expert knowledge to quantify the relative importance of indicators via sequential relationship ranking,while the CRITIC(Criteria Importance Through Intercriteria Correlation)objective weighting method—derives weights from data characteristics by integrating variability and inter-correlations—calculates weights by integrating indicator variability and inter-indicator correlations,ensuring data-driven objectivity.These two sets of weights are then fused using a deviation coefficient optimization model,minimizing the squared deviation from a reference weight and adjusting the fusion coefficient via Spearman’s rank correlation to resolve potential conflicts between subjective and objective judgments.Subsequently,the PIVW(Punishment-Incentive VariableWeight)theory—adapts weights to realtime indicator performance via penalty/incentive rules—is applied for dynamic adjustment.Scenario-specific penalty λ1 and incentive λ2 thresholds are set based on operational priorities and indicator volatility,penalizing indicators with values below λ1 and incentivizing those exceeding λ2 to reflect real-time indicator performance.Experimental validation was conducted using an Air Defense and Anti-Missile(ADAM)system effectiveness assessment framework,with data covering 7 indicators across 3 combat scenarios.Results show that compared to static weighting methods,the proposed method reduces MAE(Mean Absolute Error)by 15%-20% and weighted decision error rate by 84.2%,effectively reducing overestimation/underestimation of combat effectiveness in dynamic scenarios;compared to Entropy-TOPSIS,it lowers MAE by 12% while achieving a weighted Kendall’sτconsistency coefficient of 0.85,ensuring higher alignment with expert judgment.This method enhances the accuracy and scenario adaptability of effectiveness assessment,providing reliable decision support for dynamic battlefield environments. 展开更多
关键词 Adaptive weighting combined weighting model G1-CRITIC-PIVW effectiveness assessment
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An ethical assessment framework for AI security and ethics in smart grid 认领 引用
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作者 Yiying Zhang Congcong Zhao +2 位作者 Ziang Meng Chun Sing Lai Xi Chen 《Global Energy Interconnection》 EI CSCD 2026年第2期298-314,共17页
The advancement of smart grid,facilitated by the extensive integration of information communication,automated control,and artificial intelligence(AI)technologies,signifies a significant transformation of the power sys... The advancement of smart grid,facilitated by the extensive integration of information communication,automated control,and artificial intelligence(AI)technologies,signifies a significant transformation of the power system towards holistic perception,intelligent management,and secure operation.This article focuses on the security and ethical compliance of smart grid,intending to offer guiding insights for this new technological domain.This study initially delineates the potential applications,technical attributes,and design of smart grid,followed by a thorough examination of the security threats and ethical dilemmas arising from technological advancements.This study examines the pivotal role of AI in smart grid and its intricate interplay with security and ethical concerns.It performs a comprehensive analysis of the possible technical deficiencies and ethical challenges of AI systems in smart grid and assesses the extensive repercussions that these difficulties may entail.This study presents a security ethics evaluation methodology for smart grid,which thoroughly examines the ethical implications of AI technology in power grid applications and identifies existing obstacles and threats.This paper conducts a thorough policy analysis to evaluate the present security and ethical conditions of smart grid,with the objective of offering substantive theoretical support to enhance their security and ethical advancement,thereby fostering their healthy and sustainable development. 展开更多
关键词 Smart grid Artificial intelligence technology Ethics of science and technology Assessment framework
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A Chinese Expert Consensus on the Artificial Intelligence Proficiency of Medical Students:Competencies and the Multi-Modal Assessment 认领 引用
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作者 Mengchun Gong Jiao Li +8 位作者 Yonghui Ma Bo Jin Wei Chen Yan Hou Li Hong Tianwen Lai Bohan Zhang Ge Wu Zhirong Zeng 《Health Care Science》 CSCD 2026年第1期49-57,共9页
Background:Artificial intelligence(AI)is transforming healthcare,demanding reevaluation of medical education.China's“New Medical Education”initiative urgently requires a standardized AI literacy framework for me... Background:Artificial intelligence(AI)is transforming healthcare,demanding reevaluation of medical education.China's“New Medical Education”initiative urgently requires a standardized AI literacy framework for medical students to address fragmented standards,rapid technological evolution,and insufficient localized ethical norms.Objective:To establish a Chinese expert consensus defining core AI competencies and a multi-modal assessment framework for medical students.Methods:A multidisciplinary(including medical education,clinical medicine,medical AI,public health,and medical ethics)expert group(n=32)developed an initial competency list based on the“Knowledge-Skills-Attitude”Medical Competency Model.Two Delphi rounds(100%response rate;consensus threshold:mean≥4.0,CV≤0.25)refined the framework.Core competencies were prioritized via Analytic Hierarchy Process(AHP).The final consensus document was established after multiple expert group meetings.Results:The consensus defines AI literacy for medical students as a comprehensive attribute for integrating AI into profes-sional knowledge,clinical practice,research,and health management.It comprises a 21-item Competencies of AI Proficiency(CAIP)list across knowledge(eight indicators),skills(seven indicators),and attitude(six indicators)dimensions.Key com-petencies prioritized include understanding AI's role in multidisciplinary knowledge integration(CAIP3),identifying AI output biases(CAIP4),understanding health data governance(CAIP2),maintaining physician-led AI-assisted diagnosis(CAIP16),and identifying AI diagnostic biases(CAIP12).A multi-modal assessment framework is recommended,including paper-based/computerized tests for knowledge,situational judgment tests(SJTs)for attitudes,and objective structured clinical examinations(OSCEs)with a specific“AI Clinical Decision Conflict Scoring Scale”for skills.A multi-stage dynamic assessment system(“Pre-enrollment-Pre-clinical-Post-clinical”)is proposed for longitudinal tracking.Educational integration pathways emphasize embedding AI literacy modularly from early undergraduate years,constructing an integrated curriculum covering fundamental principles,advanced large model applications(e.g.,prompt engineering,agent development),and ethical considerations,supported by a"digital twin hospital platform."Conclusion:This consensus provides authoritative,China-specific guidance for defining and assessing medical students'AI literacy,adhering to national policies and regulations.It offers a core action framework for optimizing AI integration into medical education,fostering future healthcare professionals proficient in both AI technology and medical humanism,with a commitment to dynamic updating to adapt to evolving AI advancements. 展开更多
关键词 AI proficiency artificial intelligence(AI) assessment competency framework medical education
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Life cycle environmental impacts and emission reduction pathways of wind power in western China:A scenario-based assessment 认领 引用
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作者 Ning Su Xiaobing Li +3 位作者 Xin Lyu Dongliang Dang Siyu Liu Chenhao Zhang 《Geography and Sustainability》 CSCD 2026年第1期54-65,共12页
Compared with traditional energy sources,wind power has a lower environmental impact.However,emissions are still generated across the life cycle of wind turbines,from production to recycling.As wind power rapidly deve... Compared with traditional energy sources,wind power has a lower environmental impact.However,emissions are still generated across the life cycle of wind turbines,from production to recycling.As wind power rapidly develops and deployment increases,these impacts are becoming increasingly evident.A comprehensive understanding of these impacts is crucial for sustainable development.Based on the harmonization of previous detailed life cycle assessment(LCA)studies,this study develops a simplified LCA model that estimates the life cycle environmental impacts of wind turbines based on their nominal power.Using this simplified LCA model,we assess the global warming potential(GWP),acidification potential(AP),and cumulative energy demand(CED)of wind power at the regional scale for 2022 and under three future scenarios(high-power wind turbine promotion,reduced wind curtailment,and a comprehensive development scenario).The results indicate that in 2022,the life cycle GWP,AP,and CED of wind power in western China were 10.76 g CO2 eq/kWh,0.177 g SO2 eq/kWh,and 17.6 kJ/kWh,respectively.Scenario simulations suggest that reducing wind curtailment is the most effective approach for reducing emissions in Inner Mongolia,Gansu,Qinghai,Ningxia,and Xinjiang,producing average decreases of 8.64%in GWP,8.39%in AP,and 9.26%in CED.In contrast,for Guangxi,Chongqing,Sichuan,Guizhou,Yunnan,Xizang,and Shaanxi,the promotion of high-power wind turbines provides greater environmental benefits than reducing curtailment,producing average decreases of 3.45%,3.09%,and 4.29%in GWP,AP,and CED,respectively.These findings help clarify the environmental impact of wind power across its life cycle at the regional scale and provide theoretical references for the direction of future wind power development and the formulation of related policies. 展开更多
关键词 Wind energy Life cycle assessment Environmental impact Scenario simulation Western China
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A novel semi-quantitative model for environmental risk assessment in Portuguese surface water catchments:Supporting compliance with the European Drinking Water Directive 认领 引用
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作者 Anabela Rebelo Ana Mariano +2 位作者 Samuel Fernandes Andreia Franco Felisbina Quadrado 《Water Science and Engineering》 EI CAS CSCD 2026年第2期172-182,共11页
This study developed a novel semi-quantitative model for environmental risk assessment in surface water(SW)catchment areas(CAs)in Portugal,designed to assist authorities in complying with the European Drinking Water D... This study developed a novel semi-quantitative model for environmental risk assessment in surface water(SW)catchment areas(CAs)in Portugal,designed to assist authorities in complying with the European Drinking Water Directive(DWD).The model integrates a four-phase risk assessment framework with multicriteria decision analysis(MCDA),supported by a geographic information system(GIS)for mapping and analyzing spatial data on pollution hazards and water resources characteristics.GIS facilitates direct data access and incorporates elements from relevant river basin management plans(RBMPs),ensuring the use of updated and validated information.The model evaluates risks from both point and diffuse pollution sources,demonstrating its versatility and effectiveness through successful applications in two case studies:the Lever Montante and Odelouca CAs in Portugal.The assessment yielded a moderate risk classification for the Lever Montante CA and a very low risk for the Odelouca CA.These results provide clear and actionable insights for risk management and demonstrate the capacity of the model to differentiate risk levels between CAs.The findings of this study are consistent with SW monitoring data from the basin,adhering to critical data parameters without overstatement or misrepresentation of significant values,thereby enabling a reliable and balanced risk representation.This tool offers Portuguese authorities a systematic and repeatable method for conducting periodic risk assessments and optimizing monitoring programs,ensuring ongoing compliance with the DWD while effectively safeguarding water resources. 展开更多
关键词 Drinking water Catchment area Multicriteria decision analysis Risk assessment Surface water
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