8 research outputs found
A Meta-Analysis of the Effect of Multisession Transcranial Direct Current Stimulation on Cognition in Dementia and Mild Cognitive Impairment
University of Yamanashi (山梨大学)博士(医学)医工博4甲第279号、Clin EEG Neurosci. 2019 Jul;50(4):273-282に掲載、 doi: 10.1177/1550059418800889thesi
Beacon-based sleep-wake monitoring in dogs
The sleep-wake cycle represents a crucial physiological process essential for maintaining homeostasis and promoting individual growth. In dogs, alterations in sleep patterns associated with age and dog's correlation with temperament factors, such as nervousness, have been reported, and there is an increasing demand for precise monitoring of sleep and physical activity in dogs. The present study aims to develop an analysis method for measuring sleep-wake patterns and physical activity in dogs by utilizing an accelerometer and a smartphone. By analyzing time series data collected from the accelerometer attached to the dog's collar, a comprehensive sleep and activity analysis model was constructed. This model classified the activity level into seven classes and effectively highlighted the variations in sleep-activity patterns. Two classes with lower activity levels were considered as sleep, while other five levels were regarded as wake based on the rate of occurrence. This protocol of data acquisition and analysis provides a methodology that enables accurate and extended evaluation of both sleep and physical activity in dogs.journal articl
TRPV4 channel activity is modulated by direct interaction of the ankyrin domain to PI(4,5)P2
Mutations in the ankyrin repeat domain (ARD) of ?TRPV4 are responsible for several channelopathies, including Charcot?Marie?Tooth disease type 2C and congenital distal and scapuloperoneal spinal muscular atrophy. However, the molecular pathogenesis mediated by these mutations remains elusive, mainly due to limited understanding of the ?TRPV4 ARD function. Here we show that phosphoinositide binding to the ?TRPV4 ARD leads to suppression of the channel activity. Among the phosphoinositides, phosphatidylinositol-4,5-bisphosphate (PI(4,5)P2) most potently binds to the ?TRPV4 ARD. The crystal structure of the ?TRPV4 ARD in complex with ?inositol-1,4,5-trisphosphate, the head-group of PI(4,5)P2, and the molecular-dynamics simulations revealed the PI(4,5)P2-binding amino-acid residues. The ?TRPV4 channel activities were increased by titration or hydrolysis of membrane PI(4,5)P2. Notably, disease-associated ?TRPV4 mutations that cause a gain-of-function phenotype abolished PI(4,5)P2 binding and PI(4,5)P2 sensitivity. These findings identify ?TRPV4 ARD as a lipid-binding domain in which interactions with PI(4,5)P2 normalize the channel activity in ?TRPV4.journal articl
Improved Search for νμ→νe Oscillation in a Long-Baseline Accelerator Experiment
journal articl
Stresses around an Eccentric Hole in an Infinite Strip Subjected to Side Pressure
In this paper, an analytical solution for an infinite strip having an eccentrically located circular hole is given when the strip is subjected to a pair of side pressures. The solution is based on an approach involving Papcovich-Neuber displacement potentials and deduced using the simple forms of Cartesian and cylindrical harmonics. The boundary conditions on both sides of the strip and around the hole are completely satisfied with the aid of the relations between the Cartesian and cylindrical harmonics. The solution is shown in a graph, and the effect of the eccentric hole on the stress distribution is clarified.rights: 社団法人日本機械学会
rights: 本文データは学協会の許諾に基づきCiNiiから複製したものである
relation: IsVersionOf: http://ci.nii.ac.jp/naid/110004820920/textapplication/pdfjournal articl
Long‐term monitoring of huddling behavior in mice using online image processing
Abstract Many animal species, including mice, form societies of numerous individuals for survival. Understanding the interactions between individual animals is crucial for elucidating group behavior. One such behavior in mice is huddling, yet its analysis has been limited. In this study, we propose a cost‐effective method for monitoring long‐term huddling behavior in mice using online image processing with OpenCV. This method treats a single mouse or a group of mice as a cluster of pixels (a ‘blob’) in video images, extracting and saving only essential information such as areas, coordinates, and orientations. This approach reduces data storage needs to 1/200000th of what would be required if the video were recorded in its compressed form, thereby enabling long‐term behavioral analysis. To validate the performance of our algorithm, ~2000 video frames were randomly chosen. We manually counted the number of clusters of mice in these frames and compared them with the number of blobs automatically detected by the algorithm. The results indicated a high level of consistency, exceeding 90% across the selected video frames. Initial observations of both male and female groups suggested some variations in huddling behavior among male and female groups; however, these results should be interpreted cautiously due to a small sample. Group behavior is known to be disrupted in several neuropsychiatric disorders, such as autism. Various mouse models of these disorders have been proposed. Our measurement system, when combined with drug or genetic modification screening, could provide a valuable tool for high‐throughput analyses of huddling behavior
