759 research outputs found
Front Matter
Includes cover page, table of content, and letter from the editor, plus a call to action and rural education research agenda from the NREA
Data Augmentation of Wearable Sensor Data for Parkinson's Disease Monitoring using Convolutional Neural Networks
While convolutional neural networks (CNNs) have been successfully applied to
many challenging classification applications, they typically require large
datasets for training. When the availability of labeled data is limited, data
augmentation is a critical preprocessing step for CNNs. However, data
augmentation for wearable sensor data has not been deeply investigated yet.
In this paper, various data augmentation methods for wearable sensor data are
proposed. The proposed methods and CNNs are applied to the classification of
the motor state of Parkinson's Disease patients, which is challenging due to
small dataset size, noisy labels, and large intra-class variability.
Appropriate augmentation improves the classification performance from 77.54\%
to 86.88\%.Comment: ICMI2017 (oral session
Collaborative Leadership for Research Investigating STEM Teacher Preparation Across Many Institutions
This paper describes the creation of a collaborative research team investigating the impacts of education preparation on the recruitment and retention of science and mathematics teacher candidates in rural settings. Our collaborative research includes a core leadership team across 3 institutions and with collaboration across 14 total universities. We discuss the process from the inception through year two of this program, including the structure of leadership, communication techniques with the large group, and efforts to translate this research into scalable action. Using a framework for transdisciplinary research (Hall et al., 2012), we describe the processes and challenges that we encountered while engaging 14 institutions in a collaborative research project
Theodor Hellbrügge: 85 years of age – Ad multos transannos, sanos, fortunatos et beatos
We honor Theo HellbrĂĽgge's acclaimed endeavors in the rehabilitation, or rather the prehabilitation of handicapped children. So far, he has focused on obvious handicaps, and we trust that he will include concern for everybody's silent handicaps in the future by screening for abnormal variability inside the physiological range. Therein, we introduce cis- and trans-years, components of transdisciplinary spectra that are novel for biology and also in part for physics. These components have periods, respectively, shorter and longer than the calendar year, with a counterpart in magnetoperiodism. Transyears characterize indices of geomagnetic activity and the solar wind's speed and proton density. They are detected, alone or together with circannuals, in physiology as well as in pathology, as illustrated for sudden cardiac death and myocardial infarction, a finding calling for similar studies in sudden infant death syndrome (SIDS). As transyears can beat with circannuals, and depend on local factors, their systematic mapping in space and time by transdisciplinary chronomics may serve a better understanding of their putative influence upon the circadian system. Longitudinal monitoring of blood pressure and heart rate detects chronome alterations underlying cardiovascular disease risk, such as that of myocardial infarction and sudden cardiac death. The challenge is to intervene in a timely fashion, preferably at birth, an opportunity for pediatricians in Theo HellbrĂĽgge's footsteps
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