The relationship of entropy‐related measures to money information
The specific purpose of this paper is to trace the development of entropy-related thought from its thermodynamic origins through its organizational and economic applications to its relationship to money information. That trace reveals that existing entropy measures are of states or changes in states that are caused by energy processes. We propose that entropy may as well be conceived as entropic process. The social emergent specific exchange value provides a metric by which entropic process may be quantified. The analysis connects the traditional state-oriented entropy measures to measures of entropic process in social systems. In doing so, the character of exchange-based societies and the function of money information within them are elaborated. Copyright © 2008 John Wiley & Sons, Ltd.
What is information?
(a) Identification. An automated cell counter is a fully automated or semi-automated device used to count red blood cells, white blood cells, or blood platelets using a sample of the patient’s peripheral blood (blood circulating in one of the body’s extremities, such as the arm). These devices may also measure hemoglobin or hematocrit and may also calculate or measure one or more of the red cell indices (the erythrocyte mean corpuscular volume, the mean corpuscular hemoglobin, or the mean corpuscular hemoglobin concentration). These devices may use either an electronic particle counting method or an optical counting method.
Early Stage Diagnosis of Parkinson’s Disease Using HOS Features of EEG Signals
Parkinson’s disease (PD) is a common neurodegenerative disease that causes involuntary muscle movements and tremor among other symptoms. One approach to diagnosing this disease is by analyzing the electroencephalography (EEG) signals of the patients. However, due to the complexity of this type of signal, more advanced feature extraction and classification methods are required. The goal of this study is to combine six well-known features in EEG analysis with eight higher order statistical features and use them for classification of early stage PD (1st and 2nd stage) from a healthy control group. After extracting the required features, eight classifiers are employed to classify the signals.