Article
Education & Educational Research
B. P. Johnson, I. Iturrate, R. Y. Fakhreddine, M. Boenstrup, E. R. Buch, E. M. Robertson, L. G. Cohen
Summary: Early learning plays an important role in the generalization of related motor skills. The study found that the shared parsing rule structure between two skills can be rapidly generalized during early learning, while the generalization of skills with shared ordinal or transitional structure is limited.
NPJ SCIENCE OF LEARNING
(2023)
Article
Behavioral Sciences
Glenn H. M. Calvert, Richard G. Carson
Summary: This narrative review examines the neural mechanisms mediating cross education (CE), particularly those related to the aging central nervous system. By focusing on the adaptive potential of cellular processes supported by specific neural pathways, it may provide insights for the development of interventions utilizing CE training in older individuals.
NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS
(2022)
Article
Multidisciplinary Sciences
Shancheng Bao, Jinsung Wang, David L. Wright, John J. Buchanan, Yuming Lei
Summary: Learning a motor adaptation task generates unstable motor memories, but offline processing can protect these memories from decay, leading to improved inter-effector transfer.
SCIENTIFIC REPORTS
(2022)
Article
Computer Science, Information Systems
Yan Li, Chao Chen, Xingchen Hu, Jindong Qin, Yang Ma
Summary: The paper presents a fuzzy model design method based on an optimization algorithm, improving the performance of data-driven models by adjusting prototype locations and information granularity allocation in the fuzzy model. Experimental studies demonstrate the effectiveness of this method.
INFORMATION SCIENCES
(2021)
Article
Management
Koray Cosguner, P. B. (Seethu) Seetharaman
Summary: This paper investigates the application of a utility-based extension of the Bass Model in forecasting new product sales. It compares the performance of this model with the Generalized Bass Model and demonstrates its superiority in terms of accuracy. Furthermore, the utility-based extension allows for the prediction of both the introductory price and the price path after launch, and provides a computationally convenient dynamic pricing approach for managers to derive optimal marketing policies.
MANAGEMENT SCIENCE
(2022)
Article
Computer Science, Artificial Intelligence
Yan Li, Xingchen Hu, Witold Pedrycz, Fangjie Yang, Zhong Liu
Summary: In this study, we propose a novel approach for selective sampling and mapping data reduction to address the challenges in dealing with multivariable and large-scale data. The approach focuses on reducing data variables and samples while preserving the structural characteristics of the original data. A multivariable data-driven fuzzy rule-based model is then developed based on the processed data. Experimental studies demonstrate that the proposed method outperforms existing regression algorithms in terms of effectiveness and efficiency.
APPLIED SOFT COMPUTING
(2023)
Article
Computer Science, Information Systems
Shuai Gao, Zhongbao Zhang, Sen Su
Summary: Network alignment aims to discover nodes of the same identity in different networks. This paper proposes a novel Domain generAlization based netWork aligNment approach (DAWN) that leverages adversarial learning to extract domain-invariant features and achieve global and local optimum alignment patterns. Experimental results on the Facebook-Twitter benchmark dataset show that DAWN outperforms state-of-the-art methods with an average improvement of 14.01% in Hits@k and 10.63% in MRR@k.
IEEE TRANSACTIONS ON BIG DATA
(2023)
Article
Biology
Andrii Bomba, Serhii Baranovsky, Oksana Blavatska, Larysa Bachyshyna
Summary: This study generalizes the infectious disease mathematical model based on the influence of diffuse perturbations under the body's temperature reaction. It presents asymptotic expansions of solutions for a sequence of problems without delay and demonstrates the expected decrease in the growth rate of viral particles as a result of the body's protective temperature reaction. The study also highlights the influence of diffuse scattering of forcing factors on the dynamics of viral disease.
COMPUTERS IN BIOLOGY AND MEDICINE
(2022)
Article
Remote Sensing
Vahid Nasiri, Pawel Hawrylo, Piotr Janiec, Jaros law Socha
Summary: This study investigates the use of PlanetScope satellite images and pixel-based and object-based image analysis for accurate mapping of forest cover and detection of tree cuttings. Machine learning models were trained and evaluated, and the results showed that the object-based random forest classifier performed the best in both forest cover mapping and tree-cutting detection.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2023)
Article
Computer Science, Artificial Intelligence
Kaiyang Zhou, Ziwei Liu, Yu Qiao, Tao Xiang, Chen Change Loy
Summary: Domain generalization aims to achieve generalization to out-of-distribution data by using only source data for model learning. This paper provides a comprehensive literature review on the developments in domain generalization over the past decade, including the background, existing methods and theories, and insights and discussions on future research directions.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
(2023)
Article
Engineering, Electrical & Electronic
Yue Wang, Lei Qi, Yinghuan Shi, Yang Gao
Summary: As a recent notable research topic, domain generalization aims to learn a generic model on multiple source domains and generalize it to arbitrary unseen target domains. Previous methods have focused on image-level data augmentation, but we propose a feature-based style randomization module to achieve feature-level augmentation in this paper, which generates random styles by integrating random noise into the original style.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
(2022)
Article
Chemistry, Multidisciplinary
Qikai Xun, Yang Yang, Yongbin Liu
Summary: A coal gangue image recognition method based on complex conditions is proposed, and the impact of different complex conditions on recognition accuracy is analyzed. The study shows that complex environments have a significant impact on accuracy, with shooting distance and lighting intensity being important factors. The LeNet network model demonstrates strong generalization ability and achieves high accuracy and fast response.
Article
Multidisciplinary Sciences
Jean-Michel Bouchard, Erin K. Cressman
Summary: The transfer and retention of visuomotor adaptation to a large visuomotor distortion are primarily driven by explicit adaptation observed in the trained hand.
Article
Biotechnology & Applied Microbiology
Maryam Ghahramani, Billy Mason, Patrick Pearsall, Wayne Spratford
Summary: Interlimb coordination variability analysis can provide insights into higher order coordination and motor control. This study investigates how the interlimb coordination of healthy individuals changes in different unilateral functional tasks and whether leg dominance affects coordination variability. The results show that linear coordination variability was smaller in step-ups compared to sit-to-stands and continuous hops, while nonlinear coordination variability was larger in hops compared to step-ups and sit-to-stands. Leg dominance did not affect coordination variability in participants with no known injuries.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2022)
Article
Physics, Fluids & Plasmas
Srijan Bhattacharyya, Arnab Ghosh, Deb Shankar Ray
Summary: In this study, we explored the microscopic quantum generalization of classical Lienard systems using a system-reservoir model and nonlinear coupling. The derived quantum Langevin equation showed that detailed balance in the form of the fluctuation-dissipation relation preserves the dynamical stability of the attractors, even with vacuum excitation. The quantum versions of Rayleigh, van der Pol, and other Lienard oscillators were derived as special cases within a mean-field description in our theoretical scheme.