Abstract:
A method for establishing a computer-aided data interpretation model for immune diseases by immunomarkers and visualization is revealed. First combine a plurality of immunomarkers into an immunomarker panel. Then collect test data of a plurality of subjects measured by the immunomarker panel, and disease diagnosis information of the subjects for establishment of an immunomarker-panel testing database. Next new subjects are tested by the immunomarker panel. The data obtained and the corresponding information in the immunomarker-panel testing database are processed by unsupervised machine learning algorithm to get a computer-aided data interpretation model showing comparison of case distribution patterns. The method provides real-time analysis of multiple data to medical professionals for their reference. Thereby the correctness, the timeliness and the reproducibility of the interpretation result for the diagnosis and treatment of immune diseases are all improved.
Abstract:
A method of predicting daily living activities performance of a person with disabilities includes establishing a rehabilitation assessments panel based on a plurality of rehabilitation evaluation scales and laboratory data; evaluating a plurality of persons with disabilities by the rehabilitation assessments panel; entering assessment results and the corresponding activities of daily living (ADL) performance into a machine learning platform; utilizing variable selection methods to select a plurality of variables having optimal classification performance from the rehabilitation assessments panel; executing a machine learning algorithm to create an ADL prediction model based on the selected variables; evaluating a participant in terms of the rehabilitation assessments panel; and entering assessment results into the ADL prediction model for calculation, thereby obtaining a prediction result of future ADL performance for the participant.
Abstract:
A method of using machine learning algorithms in analyzing laboratory test results of body fluid to detect microbes in the body fluid includes using a body fluid detection module for analytic measurements in body fluid of a person to create biological samples; sending the biological samples of a plurality of persons and corresponding microbes infection statuses to perform machine learning algorithms to establish a microbes in body fluid prediction model; and sending data obtained from the body fluid detection of a patient for testing to the microbes in body fluid prediction model for operation and analysis in order to determine whether the microbes is present in body fluid.
Abstract:
A method of establishing a machine learning model for cancer anticipation includes collecting test results of a plurality of tumor markers of a plurality of eligible individuals and corresponding conditions of cancer; performing a variable selection process on the collected data to select a plurality of robust variables; and using the selected variables, numerals, and conditions of cancer by cooperating with a machine learning method to establish a cancer anticipation model. A method of detecting cancer by using a plurality of tumor markers in a machine learning model for cancer anticipation is also provided.
Abstract:
The present invention provides a driving method of a linear motor, comprising: S1: providing a motor having a vibrator; S2: inputting a first driving signal to the vibrator to drive the vibrator to vibrate so as to generate a displacement; S3: monitoring the current displacement of the vibrator; S4: determining whether the current displacement of the vibrator is greater than or equal to a preset maximum displacement of the vibrator; S5: if the current displacement of the vibrator is greater than or equal to the preset maximum displacement of the vibrator, providing a second driving signal having a preset duration to the vibrator, so as to provide a electromagnetic force having a direction opposite to the direction of the current displacement; S6: providing the first driving signal to the vibrator again so as to drive the vibrator to continuingly vibrate.
Abstract:
An apparatus and method for measuring molecular diffusivity in porous powders or minerals, e.g., the microporous synthetic minerals used for gas separation and chemical catalysis, were invented that allows a varying pressure in the gas around the powder during the measurement. This obviates the need for the pressure to be constant and the attendant complicated component parts. A mass balance model equation of the sample cell with the diffusivity as an adjustable parameter is used to deduce the sample cell pressure change versus time (uptake curve) until the equilibration of gas diffusion into the powder. A numerical analysis method is used to solve the mathematical model to compute a simulated uptake curve. Curve fitting of the simulated and measured uptake curves is used to optimize the diffusivity parameter, which gives the measured diffusivity. The apparatus and method are simple, easy to use, and automation is also simple.
Abstract:
A time control system for multiple motors is provided in the present disclosure. The time control system includes an event generating module for generating event information corresponding to an event, a control module for analyzing the event information, a signal selecting module for selecting vibrating information according to the event information, a motor module comprising multiple motors, and a driving module for driving the multiple motors in the motor module to vibrate. The control module is further configured for determining whether the vibrating information need to be delayed, and the time control system further includes a delay module for delaying the vibrating information for a time period before sending the vibrating information to the driving module to delay driving the motor module.
Abstract:
A linear vibrator is disclosed. The linear vibrator includes a fixed part including a housing which has an accommodation space, and a circuit board disposed in the accommodation space; a vibration part; an elastic connecting part including one end connected with the vibration part, and another end connected with the housing for suspending the vibration part in the accommodation space; and a Hall sensor connected electrically with the circuit board for sensing the motion state of the vibration part. One of the fixed part and the vibration part includes a coil, and the other includes a magnet opposite to the coil.
Abstract:
There are provided methods and apparatus for estimating channel induced distortion. A method for estimating distortion for an inter-coded image includes the step of calculating an average channel distortion for received inter-coded macroblocks in the inter-coded image as a previous average channel distortion multiplied by a scaling factor.
Abstract:
The invention provides a composition containing extracts from salvia miltiorrhiza bunge, gynostemma pentaphyllum mak, Chinese magnoliavine, cordyceps extract piece, pollen pini, and semen persicae and methods of and using the same.