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A fundamental study was focused on the investigation of wireless power transmission by near-fi eld coupling from the view point of the antennas. Two types of antennas – dipole and loop antennas – were used as the transmitting antenna and the receiving antenna for electrical near-fi eld coupling and for magnetic near-fi eld coupling, respectively. The(More)
We measured the levels of some biological metals: copper (Cu), iron (Fe), magnesium (Mg), manganese (Mn), and zinc (Zn) in the cerebrospinal fluid (CSF) in patients with neurodegenerative diseases (52 patients with amyotrophic lateral sclerosis (ALS)), 21 patients with Alzheimer's disease (AD), and 20 patients with Parkinson's disease (PD) by inductively(More)
We analyzed the expression of MTs using immunohistochemistry on the spinal cords of patients with ALS (n =12) and controls (n =12). The immunoreactivities of both MT-1/2 and MT-3 stained dominantly in glial cells and were decreased in the spinal cords of patients with ALS, particularly in patients on respirators. The immunoreactivity of MT-1/2 in the ALS(More)
In this paper, the authors present a data analysis and estimation procedure of electrical power consumption under uncertain conditions. Traditional methods are based on statistical and probabilistic approaches but it may not be quite suitable to apply purely mathematical models to the data generated by human activities such as the power consumption. The(More)
Patients with major depressive disorder (MDD) are known to present with cognitive deficits; however, the presence of these deficits in the remitted state have been inconsistent. One of the most important factors potentially contributing to inconsistencies between studies may be the influence of medications. To explore the influence of antidepressants on(More)
This paper presents a grid computing approach to parallel-process a neural network time-series model for forecasting electricity market prices. A grid computing environment introduced in a university computing laboratory provides an access to otherwise unused computing resources. The grid computing of the neural network model not only processes several(More)