Building safer and more resilient cities in China: A novel approach using a dynamic nonhomogeneous Gray model for data-driven decision-making. by Jian Liu, Ye He, Rui Feng, Bin Lyu

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Data Driven Program Planning for GIS Instruction. by Edith Scarletto

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Data-driven segmentation of cortical calcium dynamics. by Sydney C Weiser, Brian R Mullen, Desiderio Ascencio, James B Ackman

“…Domain maps revealed substantial regional motifs, with higher order cortical regions presenting large, eccentric domains compared with smaller, more circular ones in primary sensory areas. This workflow of data-driven video decomposition and machine classification of signal sources can greatly enhance high quality mapping of complex cerebral dynamics.…”
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Kinetic data-driven approach to turbulence subgrid modeling by G. Ortali, A. Gabbana, N. Demo, G. Rozza, F. Toschi

“…We show that the model offers superior performance compared to traditional methods, such as the Smagorinsky model, being less dissipative and, therefore, able to more closely capture the intermittency of higher-order velocity correlations. …”
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Data-driven predictive models for sustainable smart buildings by Prabhu Rajaram, Gnana Swathika O․V․

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Big-Data-Driven Transformations in Biomedical Research Paradigm by Jianhui LI, Ning YANG

“…These advancements are propelling biomedicine towards greater network integration, personalization, and preventive orientation. The paradigm of "data-driven research empowered by artificial intelligence" has become a key strategy for accelerating biomedical discovery. …”
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An integrated data-driven and causality crash severity model by Yuanyuan Xiao, Zongtao Duan

“…It also improves our understanding of complex interactions between variables, resulting in more interpretable predictions for single- and multi-vehicle crashes in China. …”
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Data-driven optimization for rebalancing shared electric scooters by Yanxia Guan, Xuecheng Tian, Sheng Jin, Kun Gao, Wen Yi, Yong Jin, Xiaosong Hu, Shuaian Wang

“…Subsequently, to capture the variability and uncertainty more accurately, we proposed a data-driven optimization model (M2) that uses the empirical distribution of historical data. …”
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Algorithmic governance and the need for consumer empowerment in data-driven markets by Stefan Larsson

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Enabling data‐driven collaborative and reproducible environmental synthesis science by Julien Brun, Nicholas J. Lyon, Angel Chen, Ingrid Slette, Gabriel De La Rosa, Jennifer E. Caselle, Frank W. Davis, Martha R. Downs

“…Here we share our experiences in enabling researchers to do science more collaboratively and more reproducibly beyond any specific project, with long‐lasting effects on the way researchers conduct science. …”
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Groundwater quality parameters prediction based on data-driven models by Mohammed Falah Allawi, Yasir Al-Ani, Arkan Dhari Jalal, Zainab Malik Ismael, Mohsen Sherif, Ahmed El-Shafie

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Toward Data-Driven Collaborative Dialogue Systems: The JILDA Dataset by Irene Sucameli, Alessandro Lenci, Bernardo Magnini, Manuela Speranza, Maria Simi

“…However, this is not necessarily true in more complex scenarios, where user and system need to collaborate to align their knowledge of the domain in order to improve the conversation and achieve their goals.To foster research on data-driven collaborative dialogues, in this paper we present JILDA, a fully annotated dataset of chat-based, mixed-initiative Italian dialogues related to the job-offer domain. …”
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Data-driven organic solubility prediction at the limit of aleatoric uncertainty by Lucas Attia, Jackson W. Burns, Patrick S. Doyle, William H. Green

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A data-driven approach exploring the entrepreneurial-managerial spectrum by Alexa Booras, Jan Auernhammer, Katerina Monlux, Jennifer Bruno, Sahar Jahanikia, Hua Xie, Neeraj Sonalkar, Manish Saggar

“…As a spectrum, data suggested (1) an increase in Creative Capacity with more entrepreneurial experience and (2) a decrease in Decision-Making Avoidance & Hypervigilance with more entrepreneurial experience. …”
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Signalling and rich trustworthiness in data-driven healthcare: an interdisciplinary approach by Jonathan R. Goodman, Richard Milne

“…Discussions of the development and governance of data-driven systems have, of late, come to revolve around questions of trust and trustworthiness. …”
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Data-driven Static Equivalence with Physics-informed Koopman Operators by Wei Lin, Changhong Zhao, Maosheng Gao, C. Y. Chung

“…Increasing volatility of measurements caused by variable distributed renewable energy sources makes it more difficult to accurately fit such equivalent models. …”
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A robust data-driven approach for modeling turbulent transport by R. Varennes, Z.S. Qu, Y.W. Cho, C. Wan, K. Li, R.A. Heinonen, V. Grandgirard

“…This study highlights the importance of assessing the reliability of data-driven models, especially in view of their application to more complex high-fidelity simulations. …”
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Data-Driven Policy Making Framework Utilizing TOWS Analysis by Yeonbin Son, Youngeun Kim, Yerim Choi

“…The policies derived from our framework closely aligned with real-world ones and, in some instances, provided more detailed recommendations. This demonstrates the potential of data-driven approaches to enhance the precision and comprehensiveness of policy development in times of uncertainty.…”
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Data-driven assessment of well stimulation in unconventional gas reservoirs by Jian Yang, Song Li, Ji Zeng, Zhaozhong Yang, Xiaogang Li, Tingting He, Liangping Yi, Bing Kong

“…In this context, a data-driven approach to assess well stimulation practices offers a promising avenue to optimize recovery processes and reduce uncertainties. …”
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A Data-Driven Approach for Rathke’s Cleft Cysts Management by Alberto D’Amico, Martina Cappelletti, Nicola Bresolin, Elisabetta Marton, Luca Denaro, Giuseppe Canova

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