Sixty indexes, ranging from social development and economy increasing to ecological protection and transportation system construction, are chosen to construct an index system of adaptability evaluation on transportati...Sixty indexes, ranging from social development and economy increasing to ecological protection and transportation system construction, are chosen to construct an index system of adaptability evaluation on transportation system and urban development. A synthesis model with nonlinear characteristic is proposed, and the corresponding procedure is presented based on an improved AHP model, which utilizes the SVD method to improve the required precision of matrix with acceptable consistency weight and detect and amend the significant elements via distance and proximity so as to improve the whole consistency. Taking Shandong Province for the case study, experimental results indicate that the adaptability degree of the system is in an increasing state, which provides robust and effective support for decision-makers working on a range of problems and in various circumstances.展开更多
[Objective] This study aimed to evaluate the adaptability of 28 green asparagus cultivars under the climatic conditions in Poland and to select cultivars most suitable for growing in Poland. [Method] Based on an overv...[Objective] This study aimed to evaluate the adaptability of 28 green asparagus cultivars under the climatic conditions in Poland and to select cultivars most suitable for growing in Poland. [Method] Based on an overview of asparagus, spears of 28 cultivars from the six year’s harvest in 2008 were evaluated at the Marcelin Experimental Station. During the harvest period, spears were cut daily and trimmed to 22 cm, followed by grading and weigh. In addition, general appearance, anthocyan discolouration, head tightness, colour and smoothness of the spears were also evaluated. [Result] In terms of total yield, ‘Gynlim’ was the best cultivar, followed by ‘Hannibal’, ‘Ravel’, ‘Grolim’ and ‘Ramada’; ‘Gloria’ was the worst cultivar, followed by ‘Tsuki-kho 3’, ‘Purple Passion’, ‘Jacq. Ma 2014’, ‘Sartaguda’, and ‘Jacq. Ma 2004’. ‘Gynlim’, ‘Hannibal’, ‘Ravel’, ‘Ramada’ and ‘Ariane’ were the top five cultivars in early yield, and the worst cultivar concerning early yield was ‘PLA-2132’, followed by ‘Ramos’, ‘Tsuki-kho 3’ and ‘Purple Passion’. ‘Ariane’, ‘Cipress’, ‘Grolim’, ‘Gynlim’ and ‘Hannibal’ were five best culivars considering spear quality, and the four worst cultivars were ‘Jacq. Ma 2004’, ‘Gloria’, ‘Jacq. Ma 2014’ and ‘Tsuki-kho 3’. [Conclusion] Taken both the yield and quality of spears into consideration, the most suitable cultivars of green spears for growing under the climatic conditions in Poland should be ‘Gynlim’, ‘Hannibal’, ‘Ravel’ and ‘Grolim’, while ‘Gloria’, ‘Tsuki-kho 3’, ‘Purple Passion’, ‘Jacq. Ma 2014’ and ‘Sartaguda’ were not suitable for growing in Poland.展开更多
Research into automatically searching for an optimal neural network(NN)by optimi-sation algorithms is a significant research topic in deep learning and artificial intelligence.However,this is still challenging due to ...Research into automatically searching for an optimal neural network(NN)by optimi-sation algorithms is a significant research topic in deep learning and artificial intelligence.However,this is still challenging due to two issues:Both the hyperparameter and ar-chitecture should be optimised and the optimisation process is computationally expen-sive.To tackle these two issues,this paper focusses on solving the hyperparameter and architecture optimization problem for the NN and proposes a novel light‐weight scale‐adaptive fitness evaluation‐based particle swarm optimisation(SAFE‐PSO)approach.Firstly,the SAFE‐PSO algorithm considers the hyperparameters and architectures together in the optimisation problem and therefore can find their optimal combination for the globally best NN.Secondly,the computational cost can be reduced by using multi‐scale accuracy evaluation methods to evaluate candidates.Thirdly,a stagnation‐based switch strategy is proposed to adaptively switch different evaluation methods to better balance the search performance and computational cost.The SAFE‐PSO algorithm is tested on two widely used datasets:The 10‐category(i.e.,CIFAR10)and the 100−cate-gory(i.e.,CIFAR100).The experimental results show that SAFE‐PSO is very effective and efficient,which can not only find a promising NN automatically but also find a better NN than compared algorithms at the same computational cost.展开更多
Tight gas reservoirs are often characterized by pronounced heterogeneity and poor continuity,resulting in wide variability in production enhancement and net present value(NPV)for different geological parameter combina...Tight gas reservoirs are often characterized by pronounced heterogeneity and poor continuity,resulting in wide variability in production enhancement and net present value(NPV)for different geological parameter combinations(see e.g.,the Ordos Basin).The conditions governing geological adaptability remain insufficiently defined.To address these challenges,this study integrates large-volume hydraulic fracturing,numerical production simulation,and economic evaluation to elucidate the mechanisms by which large-scale fracturing enhances fracture parameters in tight gas formations.The analysis reveals that,for identical proppant and fluid volumes,increasing the fracturing injection rate leads to longer and taller fractures.Over the same production period,this results in a more rapid decline in average reservoir pressure and a higher cumulative gas output.Through simulations conducted at varying injection rates across 11 production wells in the target block,the study demonstrates that large-volume fracturing can effectively connect otherwise isolated tight gas pockets,enlarge the drainage area,and substantially boost individual well production.A comparative assessment of simulation outcomes and economic performance shows that large-volume fracturing significantly improves gas recovery and NPV compared to conventional smaller-scale treatments.The study identifies the key geological indicators that influence differences in production enhancement and economic returns between small-and large-volume fracturing strategies.Based on these findings,a decision matrix is developed(utilizing a trapezoidal membership function)to evaluate the geological suitability of large-volume fracturing in tight gas reservoirs.This matrix is applied to the 11 target wells,with the evaluation results aligning well with those obtained from numerical simulations.展开更多
Accurate multi-source fusion is based on the reliability, quantity, and fusion mode of the sources. The problem of selecting the optimal set for participating in the fusion process is nondeterministic-polynomial-time-...Accurate multi-source fusion is based on the reliability, quantity, and fusion mode of the sources. The problem of selecting the optimal set for participating in the fusion process is nondeterministic-polynomial-time-hard and is neither sub-modular nor super-modular. Furthermore, in the case of the Kalman filter(KF) fusion algorithm, accurate statistical characteristics of noise are difficult to obtain, and this leads to an unsatisfactory fusion result. To settle the referred cases, a distributed and adaptive weighted fusion algorithm based on KF has been proposed in this paper. In this method, on the basis of the pseudo prior probability of the estimated state of each source, the reliability of the sources is evaluated and the optimal set is selected on a certain threshold. Experiments were performed on multi-source pedestrian dead reckoning for verifying the proposed algorithm. The results obtained from these experiments indicate that the optimal set can be selected accurately with minimal computation, and the fusion error is reduced by 16.6% as compared to the corresponding value resulting from the algorithm without improvements.The proposed adaptive source reliability and fusion weight evaluation is effective against the varied-noise multi-source fusion system, and the fusion error caused by inaccurate statistical characteristics of the noise is reduced by the adaptive weight evaluation.The proposed algorithm exhibits good robustness, adaptability,and value on applications.展开更多
Introduction:Risk assessment for high-risk populations is critical for preventing Type 2 Diabetes Mellitus(T2DM).Although China’s public health services have continuously contributed to early grassroots diagnosis of ...Introduction:Risk assessment for high-risk populations is critical for preventing Type 2 Diabetes Mellitus(T2DM).Although China’s public health services have continuously contributed to early grassroots diagnosis of diabetes for years,universally applicable tools for identifying latent high-risk elderly populations urgently need to account for heterogeneity,robustness,and generalizability.Therefore,this study developed and validated the integrated Chinese Adapted Risk Evaluation for Diabetes Mellitus(iCARE-DM)model for elderly Chinese individuals.Methods:The iCARE-DM model was developed based on pooled effect estimates from a meta-analysis of cohort studies that identified T2DM risk factors in East Asian populations and validated in three multicenter Chinese populations.Predictive performance was evaluated using area under the curve(AUC),sensitivity,specificity,accuracy,log-rank tests,and compared with the guideline-recommended model(i.e.,New Chinese Diabetes Risk Score,NCDRS)as well as four machine learning(ML)models.Results:The iCARE-DM model achieved AUC values of 0.741,0.783,and 0.766,outperforming the NCDRS model by at least 12%.Although the bestperforming ML model achieved AUC values comparable to the iCARE-DM model,its performance varied significantly across populations(with a range as high as 9%).Subgroup analyses of the iCARE-DM model confirmed consistent performance across age,gender and rural-urban groups.Conclusion:The iCARE-DM model demonstrated higher accuracy than the NCDRS model and exhibited superior robustness and generalizability compared to the ML models.The iCARE-DM model provides a robust,culturally adapted tool for T2DM risk assessment in elderly Chinese individuals.展开更多
To evaluate the adaptability of the China Rural Hypertension Control Project(CRHCP)—a multifaceted village doctor-led intervention for blood pressure control in rural China—for widespread implementation in extension...To evaluate the adaptability of the China Rural Hypertension Control Project(CRHCP)—a multifaceted village doctor-led intervention for blood pressure control in rural China—for widespread implementation in extension projects.This project comprises two phases:a pilot project and an extension project.It builds upon our CRHCP model,implementing a multi-level comprehensive hypertension management strategy targeting the general population across rural areas and township communities in China,aligning with national policies and local initiatives.In the pilot project,5,088 hypertensive patients were enrolled.At baseline,1,227 subjects(25.7%)met the 140/90 mmHg target for blood pressure control.After 13 months of intervention,the blood pressure control rate(<140/90 mmHg)reached 72.5%.In the extension project,244,046 hypertensive patients were identified through screening of 1,002,845 residents in Changtu,Wujiang,and Tongguan.Average blood pressure decreased from 146.8/88.4 mmHg to 140.4/82.6 mmHg,and the proportion of patients with controlled blood pressure increased significantly from 20.8%to 44.0%.The translation of the CRHCP model into a public health program has demonstrated potential for enhancing hypertension control in selected regions of China.While these initial results are encouraging,further research and long-term evaluation are needed to confirm their effectiveness and adaptability.If proven successful,this model may offer a replicable framework for improving public health outcomes in other lowand middle-income countries and regions.展开更多
An objective visual performance evaluation with visual evoked potential （VEP） measurements was first inte- grated into an adaptive optics （AO） system. The optical and neural limits to vision can be bypassed throug...An objective visual performance evaluation with visual evoked potential （VEP） measurements was first inte- grated into an adaptive optics （AO） system. The optical and neural limits to vision can be bypassed through this system. Visual performance can be measured electrophysiologically with VEP, which reflects the objective func- tion from the retina to the primary visual cortex. The VEP ts without and with AO correction were preliminarily carried out using this system, demonstrating the great potential of this system in the objective visual performance evaluation. The new system will provide the necessary technique and equipment support for the further study of human visual function.展开更多
基金Sponsored by the Key Projects of the National Science & Technology Pillar Program in the Eleventh Five-year Plan Period (Grant No.2006BAJ18B01)
文摘Sixty indexes, ranging from social development and economy increasing to ecological protection and transportation system construction, are chosen to construct an index system of adaptability evaluation on transportation system and urban development. A synthesis model with nonlinear characteristic is proposed, and the corresponding procedure is presented based on an improved AHP model, which utilizes the SVD method to improve the required precision of matrix with acceptable consistency weight and detect and amend the significant elements via distance and proximity so as to improve the whole consistency. Taking Shandong Province for the case study, experimental results indicate that the adaptability degree of the system is in an increasing state, which provides robust and effective support for decision-makers working on a range of problems and in various circumstances.
基金Supported by the Preferential Scientific Activity Foundation for Returned Overseas Chinese Scholars of Shandong Province(2011-780)~~
文摘[Objective] This study aimed to evaluate the adaptability of 28 green asparagus cultivars under the climatic conditions in Poland and to select cultivars most suitable for growing in Poland. [Method] Based on an overview of asparagus, spears of 28 cultivars from the six year’s harvest in 2008 were evaluated at the Marcelin Experimental Station. During the harvest period, spears were cut daily and trimmed to 22 cm, followed by grading and weigh. In addition, general appearance, anthocyan discolouration, head tightness, colour and smoothness of the spears were also evaluated. [Result] In terms of total yield, ‘Gynlim’ was the best cultivar, followed by ‘Hannibal’, ‘Ravel’, ‘Grolim’ and ‘Ramada’; ‘Gloria’ was the worst cultivar, followed by ‘Tsuki-kho 3’, ‘Purple Passion’, ‘Jacq. Ma 2014’, ‘Sartaguda’, and ‘Jacq. Ma 2004’. ‘Gynlim’, ‘Hannibal’, ‘Ravel’, ‘Ramada’ and ‘Ariane’ were the top five cultivars in early yield, and the worst cultivar concerning early yield was ‘PLA-2132’, followed by ‘Ramos’, ‘Tsuki-kho 3’ and ‘Purple Passion’. ‘Ariane’, ‘Cipress’, ‘Grolim’, ‘Gynlim’ and ‘Hannibal’ were five best culivars considering spear quality, and the four worst cultivars were ‘Jacq. Ma 2004’, ‘Gloria’, ‘Jacq. Ma 2014’ and ‘Tsuki-kho 3’. [Conclusion] Taken both the yield and quality of spears into consideration, the most suitable cultivars of green spears for growing under the climatic conditions in Poland should be ‘Gynlim’, ‘Hannibal’, ‘Ravel’ and ‘Grolim’, while ‘Gloria’, ‘Tsuki-kho 3’, ‘Purple Passion’, ‘Jacq. Ma 2014’ and ‘Sartaguda’ were not suitable for growing in Poland.
基金supported in part by the National Key Research and Development Program of China under Grant 2019YFB2102102in part by the National Natural Science Foundations of China under Grant 62176094 and Grant 61873097+2 种基金in part by the Key‐Area Research and Development of Guangdong Province under Grant 2020B010166002in part by the Guangdong Natural Science Foundation Research Team under Grant 2018B030312003in part by the Guangdong‐Hong Kong Joint Innovation Platform under Grant 2018B050502006.
文摘Research into automatically searching for an optimal neural network(NN)by optimi-sation algorithms is a significant research topic in deep learning and artificial intelligence.However,this is still challenging due to two issues:Both the hyperparameter and ar-chitecture should be optimised and the optimisation process is computationally expen-sive.To tackle these two issues,this paper focusses on solving the hyperparameter and architecture optimization problem for the NN and proposes a novel light‐weight scale‐adaptive fitness evaluation‐based particle swarm optimisation(SAFE‐PSO)approach.Firstly,the SAFE‐PSO algorithm considers the hyperparameters and architectures together in the optimisation problem and therefore can find their optimal combination for the globally best NN.Secondly,the computational cost can be reduced by using multi‐scale accuracy evaluation methods to evaluate candidates.Thirdly,a stagnation‐based switch strategy is proposed to adaptively switch different evaluation methods to better balance the search performance and computational cost.The SAFE‐PSO algorithm is tested on two widely used datasets:The 10‐category(i.e.,CIFAR10)and the 100−cate-gory(i.e.,CIFAR100).The experimental results show that SAFE‐PSO is very effective and efficient,which can not only find a promising NN automatically but also find a better NN than compared algorithms at the same computational cost.
基金open fund of Hubei Key Laboratory of Oil and Gas Drilling and Production Engineering(Yangtze University)YQZC202404.
文摘Tight gas reservoirs are often characterized by pronounced heterogeneity and poor continuity,resulting in wide variability in production enhancement and net present value(NPV)for different geological parameter combinations(see e.g.,the Ordos Basin).The conditions governing geological adaptability remain insufficiently defined.To address these challenges,this study integrates large-volume hydraulic fracturing,numerical production simulation,and economic evaluation to elucidate the mechanisms by which large-scale fracturing enhances fracture parameters in tight gas formations.The analysis reveals that,for identical proppant and fluid volumes,increasing the fracturing injection rate leads to longer and taller fractures.Over the same production period,this results in a more rapid decline in average reservoir pressure and a higher cumulative gas output.Through simulations conducted at varying injection rates across 11 production wells in the target block,the study demonstrates that large-volume fracturing can effectively connect otherwise isolated tight gas pockets,enlarge the drainage area,and substantially boost individual well production.A comparative assessment of simulation outcomes and economic performance shows that large-volume fracturing significantly improves gas recovery and NPV compared to conventional smaller-scale treatments.The study identifies the key geological indicators that influence differences in production enhancement and economic returns between small-and large-volume fracturing strategies.Based on these findings,a decision matrix is developed(utilizing a trapezoidal membership function)to evaluate the geological suitability of large-volume fracturing in tight gas reservoirs.This matrix is applied to the 11 target wells,with the evaluation results aligning well with those obtained from numerical simulations.
文摘Accurate multi-source fusion is based on the reliability, quantity, and fusion mode of the sources. The problem of selecting the optimal set for participating in the fusion process is nondeterministic-polynomial-time-hard and is neither sub-modular nor super-modular. Furthermore, in the case of the Kalman filter(KF) fusion algorithm, accurate statistical characteristics of noise are difficult to obtain, and this leads to an unsatisfactory fusion result. To settle the referred cases, a distributed and adaptive weighted fusion algorithm based on KF has been proposed in this paper. In this method, on the basis of the pseudo prior probability of the estimated state of each source, the reliability of the sources is evaluated and the optimal set is selected on a certain threshold. Experiments were performed on multi-source pedestrian dead reckoning for verifying the proposed algorithm. The results obtained from these experiments indicate that the optimal set can be selected accurately with minimal computation, and the fusion error is reduced by 16.6% as compared to the corresponding value resulting from the algorithm without improvements.The proposed adaptive source reliability and fusion weight evaluation is effective against the varied-noise multi-source fusion system, and the fusion error caused by inaccurate statistical characteristics of the noise is reduced by the adaptive weight evaluation.The proposed algorithm exhibits good robustness, adaptability,and value on applications.
基金Supported by the National Key R&D Program of China(2022YFC3600600)Sichuan Science and Technology Program(2024ZYD0102,2025YFHZ0069)+1 种基金Chengdu Science and Technology Program(2024-YF05-01784-SN)Sichuan Preventive Medicine Association(SYYXH202403).
文摘Introduction:Risk assessment for high-risk populations is critical for preventing Type 2 Diabetes Mellitus(T2DM).Although China’s public health services have continuously contributed to early grassroots diagnosis of diabetes for years,universally applicable tools for identifying latent high-risk elderly populations urgently need to account for heterogeneity,robustness,and generalizability.Therefore,this study developed and validated the integrated Chinese Adapted Risk Evaluation for Diabetes Mellitus(iCARE-DM)model for elderly Chinese individuals.Methods:The iCARE-DM model was developed based on pooled effect estimates from a meta-analysis of cohort studies that identified T2DM risk factors in East Asian populations and validated in three multicenter Chinese populations.Predictive performance was evaluated using area under the curve(AUC),sensitivity,specificity,accuracy,log-rank tests,and compared with the guideline-recommended model(i.e.,New Chinese Diabetes Risk Score,NCDRS)as well as four machine learning(ML)models.Results:The iCARE-DM model achieved AUC values of 0.741,0.783,and 0.766,outperforming the NCDRS model by at least 12%.Although the bestperforming ML model achieved AUC values comparable to the iCARE-DM model,its performance varied significantly across populations(with a range as high as 9%).Subgroup analyses of the iCARE-DM model confirmed consistent performance across age,gender and rural-urban groups.Conclusion:The iCARE-DM model demonstrated higher accuracy than the NCDRS model and exhibited superior robustness and generalizability compared to the ML models.The iCARE-DM model provides a robust,culturally adapted tool for T2DM risk assessment in elderly Chinese individuals.
基金Support from the National Key Research and Development Program,Ministry of Science and Technology of China(Grant number 2017YFC1307600)the Science and Technology Program of Liaoning Province,China(Grant number 2020JH1/10300002).
文摘To evaluate the adaptability of the China Rural Hypertension Control Project(CRHCP)—a multifaceted village doctor-led intervention for blood pressure control in rural China—for widespread implementation in extension projects.This project comprises two phases:a pilot project and an extension project.It builds upon our CRHCP model,implementing a multi-level comprehensive hypertension management strategy targeting the general population across rural areas and township communities in China,aligning with national policies and local initiatives.In the pilot project,5,088 hypertensive patients were enrolled.At baseline,1,227 subjects(25.7%)met the 140/90 mmHg target for blood pressure control.After 13 months of intervention,the blood pressure control rate(<140/90 mmHg)reached 72.5%.In the extension project,244,046 hypertensive patients were identified through screening of 1,002,845 residents in Changtu,Wujiang,and Tongguan.Average blood pressure decreased from 146.8/88.4 mmHg to 140.4/82.6 mmHg,and the proportion of patients with controlled blood pressure increased significantly from 20.8%to 44.0%.The translation of the CRHCP model into a public health program has demonstrated potential for enhancing hypertension control in selected regions of China.While these initial results are encouraging,further research and long-term evaluation are needed to confirm their effectiveness and adaptability.If proven successful,this model may offer a replicable framework for improving public health outcomes in other lowand middle-income countries and regions.
基金supported by the National Natural Science Foundation of China (No. 61378064)the National High Technology Research and Development Program of China (No. 2015AA020510)
文摘An objective visual performance evaluation with visual evoked potential （VEP） measurements was first inte- grated into an adaptive optics （AO） system. The optical and neural limits to vision can be bypassed through this system. Visual performance can be measured electrophysiologically with VEP, which reflects the objective func- tion from the retina to the primary visual cortex. The VEP ts without and with AO correction were preliminarily carried out using this system, demonstrating the great potential of this system in the objective visual performance evaluation. The new system will provide the necessary technique and equipment support for the further study of human visual function.
