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COVID-19 information fatigue? A case study of a German university website during two waves of the pandemic.
In Human behavior and emerging technologies
Skulmowski Alexander, Standl Bernhard
COVID‐19, design, emergency, information, information seeking, page views, pandemic, searches, university, website
The future of simulation-based medical education: Adaptive simulation utilizing a deep multitask neural network.
In AEM education and training
Ruberto Aaron J, Rodenburg Dirk, Ross Kyle, Sarkar Pritam, Hungler Paul C, Etemad Ali, Howes Daniel, Clarke Daniel, McLellan James, Wilson Daryl, Szulewski Adam
In Endoscopy international open
Mori Yuichi, Kudo Shin-Ei, Misawa Masashi, Hotta Kinichi, Kazuo Ohtsuka, Saito Shoichi, Ikematsu Hiroaki, Saito Yutaka, Matsuda Takahisa, Kenichi Takeda, Kudo Toyoki, Nemoto Tetsuo, Itoh Hayato, Mori Kensaku
Identifying Key Drivers of Wildfires in the Contiguous US Using Machine Learning and Game Theory Interpretation.
In Earth's future
Wang Sally S-C, Qian Yun, Leung L Ruby, Zhang Yang
machine learning, wildfire modeling
In World journal of clinical cases
Zhang Hong-Guo, Jiang Yu-Ting, Dai Si-Da, Li Ling, Hu Xiao-Nan, Liu Rui-Zhi
Algorithms, Classification and regression tree, Down syndrome, Prenatal screening, Risk cutoff value, Support vector machine
Coronary Plaque Characterization From Optical Coherence Tomography Imaging With a Two-Pathway Cascade Convolutional Neural Network Architecture.
In Frontiers in cardiovascular medicine
Yin Yifan, He Chunliu, Xu Biao, Li Zhiyong
cascaded structure, convolutional neural network, optical coherence tomography, plaque characterization, two-pathway architecture