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Systematic measurement and spatiotemporal evolution of agricultural versatility in China 认领 引用
1
作者 Yafei Wang Qijia Zhang +2 位作者 Ming Xu Ying Bai Xiaohang Wu 《Chinese Journal of Population,Resources and Environment》 2022年第1期80-90,共11页
In this study,the entropy weight method was used to measure the agricultural versatility of 30 provinces in China(excluding Tibet,Hong Kong region,Macao region,and Taiwan region of China)from 2008 to 2019.In addition,... In this study,the entropy weight method was used to measure the agricultural versatility of 30 provinces in China(excluding Tibet,Hong Kong region,Macao region,and Taiwan region of China)from 2008 to 2019.In addition,the Theil index method and kernel density estimation were used to analyze the spatiotemporal characteristics of the agricultural versatility in each province.The results show that the agricultural product supply and social security functions rapidly developed,but the economic development was weak.From 2008 to 2019,the total functional index of agriculture increased by 6.74%;the functional index of the agricultural product supply,social security,and ecological services increased by 12.72%,5.53%,and 2.05%,respectively;and the functional index of economic development decreased by 1.32%.The development of agricultural multifunctions in China is regionally heterogeneous.Based on the Theil index method,the differences in the agricultural functions of the three regions are mainly due to intragroup differences.The contribution of intragroup differences of the eight economic regions is significantly lower than that of the three regions.However,intragroup differences dominate the agricultural product supply,economic development,and social security functions and intergroup differences control the ecological service function.The kernel density estimation curve shows that the overall agricultural functional evaluation index increased,among which the agricultural product supply function increased the most. 展开更多
关键词 Agricultural versatility Entropy weight method Theil index Kernel density estimation
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Analysis of crowdfunding platforms for microgrid project investors via a q-rung orthopair fuzzy hybrid decision-making approach 认领 引用
2
作者 Xiaohang Wu Hasan Dinçer Serhat Yüksel 《Financial Innovation》 2022年第1期1338-1359,共22页
Effective crowdfunding platforms positively contribute toward improving micro-grid energy management systems.Therefore,a comprehensive analysis is required to understand the key factors responsible for success in crow... Effective crowdfunding platforms positively contribute toward improving micro-grid energy management systems.Therefore,a comprehensive analysis is required to understand the key factors responsible for success in crowdfunding systems by considering various criteria.This study evaluates crowdfunding platforms for microgrid project investments.In this context,a novel fuzzy decision-making model that includes two different stages is proposed.First,the selected criteria for the crowdfunding platforms for microgrid project investments are evaluated.Second,alternatives,regarding the microgrid project investments,are ranked.In this process,a multi-stepwise weight assessment ratio analysis(M-SWARA)approach based on q-rung orthopair fuzzy sets(q-ROFSs)is considered.Intuitionistic and Pythagorean fuzzy sets are also used in the calculation process to make a comparative evaluation.Similarly,a sensitivity analysis of the ranking alternatives is also conducted with 12 different q values.All the results are rather similar;thus,the findings are reliable.Another model is also created for this purpose with the help of the decision-making trial and evaluation laboratory(DEMA-TEL)and the technique for order preference by similarity to ideal solution methodologies to check the performance of the proposed model.It is defined that by considering the q-ROF DEMATEL weights,the ranking results vary for different cases.The proposed model with a M-SWARA is more reliable than the model created via the DEMATEL method.This situation provides information regarding the superiority of the model proposed in this study.It is concluded that security is the most important factor in crowdfunding platforms for smart-grid project investors.Additionally,solar panels and energy storage systems/batteries are the most significant alternatives for microgrid project investors.Necessary measures should be taken to forestall the risk of fraud that may occur on this platform.Therefore,the website to be established must be secure against possible hacking attacks.Another important conclusion of this study is that solar panels should be preliminarily developed to increase the effectiveness of microgrid systems. 展开更多
关键词 Financial innovation Crowdfunding Microgrid projects Energy investments q-rung fuzzy sets
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An artificial intelligence and blockchain technology-based data management framework for multicenter randomized controlled trials 认领 引用 被引量：2
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作者 Dongyuan Yun Xiaohang Wu +29 位作者 Xi Chen Yahan Yang Yuanjun Shang Shaopeng Liu Dinesh Visva Gunasekeran Duoru Lin Lixue Liu Lanqin Zhao Wenben Chen Jingjing Chen Ling Jin Yuxuan Wu Jiaming Hong Weiling Hu Zhenzhe Lin Carol Y.Cheung Xiang Chen Peichen Xie Zhenzhen Liu Changhai Ding Patrick Yu-Wai-Man Keming Yu Daniel Shu Wei Ting Yizhi Liu Zibin Zheng Gansen Zhao Zhihua Xia Tien Yin Wong Haotian Lin Advanced Technologies Improve Clinical TrialGroup 《Science Bulletin》 SCIE EI CAS CSCD 2025年第6期856-860,共5页
Randomized controlled trials(RCTs)provide optimal evidence of the effectiveness and safety of a new drug,a new medical device,or a new therapeutic strategy with the necessary scientific design[1].Traditional electroni... Randomized controlled trials(RCTs)provide optimal evidence of the effectiveness and safety of a new drug,a new medical device,or a new therapeutic strategy with the necessary scientific design[1].Traditional electronic data collection(EDC)systems for clinical trials primarily focus on data entry,validation,and compliance monitoring.However,their reliance on centralized architectures introduces vulnerabilities in data security and integrity。 展开更多
关键词 Artificial Intelligence Multicenter Randomized Controlled Trials Data Security scientific design traditional Blockchain Technology clinical trials randomized controlled trials rcts provide centralized architectures
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Expert recommendation on collection,storage,annotation,and management of data related to medical artificial intelligence 认领 引用 被引量：1
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作者 Yahan Yang Ruiyang Li +17 位作者 Yifan Xiang Duoru Lin Anqi Yan Wenben Chen Zhongwen Li Weiyi Lai Xiaohang Wu Cheng Wan Wei Bai Xiucheng Huang Qiang Li Wenrui Deng Xiyang Liu Yucong Lin Pisong Yan Haotian Lin Chinese Association of Artificial Intelligence Medical Artificial Intelligence Branch of Guangdong Medical Association 《Intelligent Medicine》 CSCD 2023年第2期144-149,共6页
Medical artificial intelligence(AI)and big data technology have rapidly advanced in recent years,and they are now routinely used for image-based diagnosis.China has a massive amount of medical data.However,a uniform c... Medical artificial intelligence(AI)and big data technology have rapidly advanced in recent years,and they are now routinely used for image-based diagnosis.China has a massive amount of medical data.However,a uniform criteria for medical data quality have yet to be established.Therefore,this review aimed to develop a standardized and detailed set of quality criteria for medical data collection,storage,annotation,and management related to medical AI.This would greatly improve the process of medical data resource sharing and the use of AI in clinical medicine. 展开更多
关键词 Artificial intelligence Big data Intelligent medicine Data collection Data storage Data annotation Data management
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