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Qualitative psychological principles are commonly utilized to influence the choices that people make. Can this goal be achieved more efficiently by using quantitative models of choice? Here, we launch an academic competition to compare the effectiveness of these two approaches.
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http://dx.doi.org/10.1038/s41467-019-10825-6 | DOI Listing |
Water Environ Res
March 2025
Key Lab of Northwest Water Resource, Environment and Ecology, MOE, Xi'an University of Architecture and Technology, Xi'an, China.
Harmful algal blooms (HABs), driven by eutrophication, are a growing ecological threat, compromising water quality and ecosystem health through the release of toxic microcystins (MCs). These toxins pose significant risks to both aquatic life and human health. Among the emerging solutions, UV-C technology has gained attention for its efficiency in inhibiting algal growth and degrading MCs, offering a cost-effective and environmentally friendly approach with minimal secondary pollution.
View Article and Find Full Text PDFFood Res Int
April 2025
Department of Food Engineering and Technology, School of Food Engineering, University of Campinas (UNICAMP), Campinas, Brazil. Electronic address:
Oleogelators are considered food additives that require approval from regulatory authorities. Therefore, classifying these ingredients that may have characteristics (e.g.
View Article and Find Full Text PDFMed Sci Sports Exerc
March 2025
Department of Orthopedics and Rehabilitation, University of Wisconsin-Madison, Madison, WI.
Purpose: This study investigated the effects of a 6-week eccentrically-biased training intervention between Romanian deadlift (RDL) and Nordic hamstring exercises (NHE) on regional hamstring muscle architecture and morphology.
Methods: Participants were randomly allocated to an RDL or NHE intervention group and trained twice per week for 6 weeks followed by a 2-week detraining period. Biceps femoris long head (BFlh) architecture (fascicle length [FL] and pennation angle [PA]) and muscle thickness (MT) were measured using extended-field-of-view ultrasound.
Brain Res Bull
March 2025
International School for Optoelectronic Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, P R China. Electronic address:
Traditional machine learning methods struggle with efficiency when processing large-scale data, while deep learning approaches, such as convolutional neural networks (CNN) and long short-term memory networks (LSTM), exhibit certain limitations when handling long-duration sequences. The choice of convolutional kernel size needs to be determined after several experiments, and LSTM has difficulty capturing effective information from long-time sequences. In this paper, we propose a transfer learning (TL) method based on Transformer, which constructs a new network architecture for feature extraction and classification of electroencephalogram (EEG) signals in the time-space domain, named TS-former.
View Article and Find Full Text PDFSci Rep
March 2025
Department of Computer Science and Engineering, Galgotias University, Greater Noida, UP, India.
In this paper, the author introduces the Neural-ODE Hybrid Block Method, which serves as a direct solution for solving higher-order ODEs. Many single and multi-step methods employed in numerical approximations lose their stability when applied in the solution of higher-order ODEs with oscillatory and/or exponential features, as in this case. A new hybrid approach is formulated and implemented, which incorporates both the approximate power of neural networks and the stability and robustness of block numerical methods.
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