Results 21 to 30 of about 1,429,854 (290)

Risk Assessment for Scientific Data

Data Science Journal, 2020
Ongoing stewardship is required to keep data collections and archives in existence. Scientific data collections may face a range of risk factors that could hinder, constrain, or limit current or future data use.
Matthew S. Mayernik, Kelsey Breseman, Robert R. Downs, Ruth Duerr, Alexis Garretson, Chung-Yi (Sophie) Hou, Environmental Data Governance Initiative (EDGI) and Earth Science Information Partners (ESIP) Data Stewardship Committee   +6 more
doaj   +1 more source

Analysis of a Human Meta-Strategy for Agents with Active and Passive Strategies

Applied Sciences, 2022
Human cooperative behavior includes passive action strategies based on others and active action strategies that prioritize one’s own objective. Therefore, for cooperation with humans, it is necessary to realize a robot that uses these strategies to ...
Kensuke Miyamoto, Norifumi Watanabe, Osamu Nakamura, Yoshiyasu Takefuji   +3 more
doaj   +1 more source

Gender gaps in urban mobility

Humanities & Social Sciences Communications, 2020
Mobile phone data have been extensively used to study urban mobility. However, studies based on gender-disaggregated large-scale data are still lacking, limiting our understanding of gendered aspects of urban mobility and our ability to design policies ...
Laetitia Gauvin, Michele Tizzoni, Simone Piaggesi, Andrew Young, Natalia Adler, Stefaan Verhulst, Leo Ferres, Ciro Cattuto   +7 more
doaj   +1 more source

Graph Based Collaborative Extraction Method for Keywords and Summary from Documents [PDF]

Jisuanji kexue, 2021
The purpose of keywords extraction and summary extraction is to select key content from the original document to express the main meaning of the original document.The evaluation of keywords and summarization quality mainly depends on whether it can cover
MAO Xiang-ke, HUANG Shao-bin, YU Qin-yong
doaj   +1 more source

Precaution, governance and the failure of medical implants: the ASR(TM) hip in the UK [PDF]

, 2014
Hip implants have provided life-changing treatment, reducing pain and improving the mobility and independence of patients. Success has encouraged manufacturers to innovate and amend designs, engendering patient hopes in these devices.
Joyce, Thomas, McCormack, Pauline, Wienroth, Matthias   +2 more
core   +1 more source

Towards standardised cross-sectoral agreements for data depositing and data access in Trusted Research Environments: streamlined contracting to advance public benefit research. 

International Journal of Population Data Science
Objective  Trusted Research Environments (TREs) rely on Data Contributor Agreements (DCAs) and Data Access Agreements (DAAs) to bind organisations to terms and conditions in place to protect data.
Rachel Brophy, Cassie Smith, Andy Boyd, Pan UK Data Governance Steering Group   +3 more
doaj   +1 more source

Economic Complexity Based Recommendation Enhance the Efficiency of the Belt and Road Initiative

Entropy, 2018
The Belt and Road initiative (BRI) was announced in 2013 by the Chinese government. Its goal is to promote the cooperation between European and Asian countries, as well as enhancing the trust between members and unifying the market.
Hao Liao, Xiao-Min Huang, Alexandre Vidmer, Yi-Cheng Zhang, Ming-Yang Zhou   +4 more
doaj   +1 more source

Prevention of Food Waste in China: Role and Impact of China’s Anti-Food Waste Law

Foods
In recent years, despite global improvements in development, food scarcity and waste remain critical issues impacting food security, human health, and environmental sustainability.
Shenghang Wang, Dongxu Liu, Jiping Sheng
doaj   +1 more source

Repetitive Fractional-Order Active Disturbance Rejection Control for Permanent Magnet Synchronous Motor

Machines
In order to reduce the impact of various disturbances on the permanent magnet synchronous motor (PMSM) system especially during low-speed (0–300 rpm), this paper proposes a novel repetitive fractional-order active disturbance rejection control (RFO-ADRC)
Yi Zhao, Liang Guo, Jisong Zhang, Yu Zhou, Wenqi Lu   +4 more
doaj   +1 more source

Multi-Label Disease Detection in Chest X-Ray Imaging Using a Fine-Tuned ConvNeXtV2 with a Customized Classifier

Informatics
Deep-learning-based multiple label chest X-ray classification has achieved significant success, but existing models still have three main issues: fixed-scale convolutions fail to capture both large and small lesions, standard pooling is lacking in the ...
Kangzhe Xiong, Yuyun Tu, Xinping Rao, Xiang Zou, Yingkui Du   +4 more
doaj   +1 more source