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1.697 Aktuelle Fachpublikationen zum Thema Training

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A classification modeling approach for determining metabolite signatures in osteoarthritis

29.06.2018 | Jason S. Rockel; Weidong Zhang; Konstantin Shestopaloff; Sergei Likhodii; Guang Sun; Andrew Furey; Edward Randell; K ..., PLoS ONE, 2018

by Jason S. Rockel, Weidong Zhang, Konstantin Shestopaloff, Sergei Likhodii, Guang Sun, Andrew Furey, Edward Randell, Kala Sundararajan, Rajiv Gandhi, Guangju Zhai, Mohit Kapoor Multiple factors can help predict knee osteoarthritis (OA) patients from healthy individuals, including age, sex, and ...

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Data fusion of body-worn accelerometers and heart rate to predict VO2max during submaximal running

29.06.2018 | Arne De Brabandere; Tim Op De Beéck; Kurt H. Schütte; Wannes Meert; Benedicte Vanwanseele; Jesse Davis, PLoS ONE, 2018

by Arne De Brabandere, Tim Op De Beéck, Kurt H. Schütte, Wannes Meert, Benedicte Vanwanseele, Jesse Davis Maximal oxygen uptake (VO2max) is often used to assess an individual’s cardiorespiratory fitness. However, measuring this variable requires an athlete to perform a maximal exercise test ...

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Neural network retuning and neural predictors of learning success associated with cello training [Neuroscience]

26.06.2018 | Indiana Wollman; Virginia Penhune; Melanie Segado; Thibaut Carpentier; Robert J. Zatorre, Proceedings of the National Academy of Sciences current issue, 2018

In sophisticated auditory–motor learning such as musical instrument learning, little is understood about how brain plasticity develops over time and how the related individual variability is reflected in the neural architecture. In a longitudinal fMRI training study on cello learning, we reveal ...

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Energies, Vol. 11, Pages 1636: Optimal Deep Learning LSTM Model for Electric Load Forecasting using Feature Selection and Genetic Algorithm: Comparison with Machine Learning Approaches †

22.06.2018 | Bouktif, Salah ; Fiaz, Ali ; Ouni, Ali ; Serhani, Mohamed Adel, Energies, 2018

Energies, Vol. 11, Pages 1636: Optimal Deep Learning LSTM Model for Electric Load Forecasting using Feature Selection and Genetic Algorithm: Comparison with Machine Learning Approaches † Energies doi: 10.3390/en11071636 Authors: Salah Bouktif Ali Fiaz Ali Ouni Mohamed Adel ...

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Identification of DNA methylation prognostic signature of acute myelocytic leukemia

22.06.2018 | Haiguo Zhang; Guanli Song; Guanbo Song; Ruolei Li; Min Gao; Ling Ye; Chengfang Zhang, PLoS ONE, 2018

by Haiguo Zhang, Guanli Song, Guanbo Song, Ruolei Li, Min Gao, Ling Ye, Chengfang Zhang Background The aim of this study is to find the potential survival related DNA methylation signature capable of predicting survival time for acute myelocytic leukemia (AML) patients. Methods DNA ...

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Energies, Vol. 11, Pages 1631: Gaussian Process Operational Curves for Wind Turbine Condition Monitoring

22.06.2018 | Pandit, Ravi ; Infield, David, Energies, 2018

Energies, Vol. 11, Pages 1631: Gaussian Process Operational Curves for Wind Turbine Condition Monitoring Energies doi: 10.3390/en11071631 Authors: Ravi Pandit David Infield Due to the presence of an abundant resource, wind energy is one of the most promising renewable energy ...

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Solving the RNA design problem with reinforcement learning

21.06.2018 | Peter Eastman; Jade Shi; Bharath Ramsundar; Vijay S. Pande, PLoS Computational Biology, 2018

by Peter Eastman, Jade Shi, Bharath Ramsundar, Vijay S. Pande We use reinforcement learning to train an agent for computational RNA design: given a target secondary structure, design a sequence that folds to that structure in silico. Our agent uses a novel graph convolutional architecture ...

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Changes in body composition, bone metabolism, strength, and skill-specific performance resulting from 16-weeks of HIFT

15.06.2018 | Yuri Feito; Wade Hoffstetter; Paul Serafini; Gerald Mangine, PLoS ONE, 2018

by Yuri Feito, Wade Hoffstetter, Paul Serafini, Gerald Mangine High Intensity Functional Training (HIFT) is a training modality, characterized by multimodal exercises performed at high-intensity. Little is known about the training adaptations that occur as a prolonged training program. The ...

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Development of a Hybrid Course on Wheelchair Service Provision for clinicians in international contexts

15.06.2018 | Yohali Burrola-Mendez; Mary Goldberg; Rachel Gartz; Jon Pearlman, PLoS ONE, 2018

by Yohali Burrola-Mendez, Mary Goldberg, Rachel Gartz, Jon Pearlman Introduction Wheelchair users worldwide are at high risk of developing secondary health conditions and premature death due to inappropriate wheelchair provision by untrained providers. The International Society of Wheelchair ...

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Neural network models of the tactile system develop first-order units with spatially complex receptive fields

14.06.2018 | Charlie W. Zhao; Mark J. Daley; J. Andrew Pruszynski, PLoS ONE, 2018

by Charlie W. Zhao, Mark J. Daley, J. Andrew Pruszynski First-order tactile neurons have spatially complex receptive fields. Here we use machine-learning tools to show that such complexity arises for a wide range of training sets and network architectures. Moreover, we demonstrate that this ...

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