8 results about "Diagnostic methods" patented technology

The invention relates to an improved particle swarm-optimized neural network-based transformer fault diagnosis method. The method includes the following steps that: related data of dissolved gases in transformer oil and transformer fault information are obtained so as to be adopted as sample data, and a drop half-normal distribution scoring model is adopted to pre-estimate the data of the dissolved gases in the transformer oil; the network structure of a neural network is determined; and the parameters of the neural network are optimized by using an improved particle swarm algorithm; pre-estimated sample data are adopted to train the parameter-optimized neural network, so that a final neural network model can be obtained; and the neural network model is adopted to process transformer data to be evaluated, so that the fault type of a transformer can be obtained through diagnosis. With the method of the invention adopted, the interference of original data redundancy information can be reduced, and the validity of data evaluation can be improved; and convergence speed in the training of the neural network can be increased, and the search ability of parameter optimization can be improved, and the accuracy and reliability of transformer fault diagnosis can be improved finally.

The invention provides novel polynucleotides and polypeptides encoded by such polynucleotides and mutants or variants thereof that correspond to novel human secreted IGFBP-like polypeptides. Other aspects of the invention include vectors containing processes for producing novel human secreted IGFBP-like polypeptides, compositions, and methods of use for such polypeptides including in cancer.

The invention discloses a baseboard management controller (BMC), a terminal, a power-on state diagnosis assembly and a power-on state diagnosis method. The power-on state diagnosis method comprises the steps that the BMC receives a power-on request sent by a PCH; wherein the power-on request comprises a power-on request signal; the BMC receives the power-on state signal sent by the power converter; the power-on state signal is a signal generated by the power converter according to a power-on time sequence; when the CPLD receives a power-on request sent by the PCH, the power converter is controlled to start a power-on time sequence; the BMC outputs a monitoring signal so as to judge a power-on state according to the monitoring signal; and the monitoring signal comprises a power-on request signal and a power-on state signal. According to the invention, the BMC of the terminal is utilized to realize rapid and accurate acquisition of the monitoring signal for representing the power-on process of the terminal, the abnormal power-on condition of the terminal can be accurately judged according to the monitoring signal, the debugging is convenient and fast, and a lot of manpower cost is saved.

The invention discloses an intelligent medical remote auxiliary diagnosis method and system based on wearable equipment, wherein the system comprises an information collection module, a scheduling management module and an information receiving module, and the information collection module and the information receiving module carry out the information transmission with the scheduling management module through a wireless network. The information acquisition module is used for acquiring user health data information and position information regularly or in real time and sending the information to the scheduling management module; the information receiving module is used for receiving the information transmitted by the scheduling management module and sending a remote instruction to control the information acquisition module to acquire health information; the dispatching management module is used for transferring the data information of the information acquisition module and the information receiving module and carrying out dispatching management on the emergency ambulance and the emergency doctor. According to the invention, the wearable device embedded with the biosensor capable of monitoring various physical sign information is adopted to monitor the physical sign information of the user, and is communicated with the medical management system to help a first-aid doctor to acquire the health information of the user in advance.

This invention provides a method for detecting cognitive disfunction diseases including mild cognitive impairment and Alzheimer's disease using a protein and a peptide of the protein different in the presence level in subjects having a normal cognitive function and patients suffering from cognitive disfunction diseases and a biomarker for detecting cognitive disfunction diseases including mild cognitive impairment and Alzheimer's disease containing the protein and the peptide. This invention is a biomarker for diagnosing cognitive disfunction diseases containing a prothrombin precursor protein of SEQ ID NO: 1 or a peptide THRB containing the amino acid sequence represented by SEQ ID NO: 2 which is a peptide of the protein, a diagnosis method for cognitive disfunction diseases using the biomarker, an antigen peptide represented by SEQ ID NO: 3 for creating a THRB peptide specific antibody to be used in the diagnosis method, and a cognitive disfunction disease diagnosis kit containing the THRB peptide specific antibody.

The invention discloses a method and device for diagnosing computer hardware, a terminal and a medium. The method for diagnosing the computer hardware includes the steps that hardware equipment of a computer is diagnosed to obtain diagnosis information; external storage equipment connected with an I/O interface of the computer is detected; whether the external storage equipment stores an information reading module matched with the computer is judged; in response to the judgment that the information reading module exists, the information reading module is executed to transmit the diagnosis information to the external storage equipment. According to the method and device for diagnosing the computer hardware, the terminal and the medium, when the diagnosis information of the computer is obtained, the external storage equipment is actively recognized, the diagnosis information is stored in the external storage equipment so as to be copied and repeatedly utilized, and therefore the diagnosis efficiency is improved for the computer.

The present invention relates to new methods for assessing NAFLD and NAH in a patient, combining measurement of serum markers through a logistic function.