Abstract: The present disclosure relates to a method for providing biomarker for early detection of Alzheimer's Disease (AD), and particularly to a method that is able to enhance the accuracy of predicting AD from Mild Cognitive Impairment (MCI) patients using the Hippocampus magnetic resonance imaging (MRI) scans and Mini-Mental State Examination (MMSE) data. The providing MRI images containing the anatomical structure of Hippocampus biomarker and MMSE data as a training data set; training a processor using the training data set, and the training comprising acts of receiving MRI images and MMSE data as a testing data set from a target; and classifying the test data by the trained processor to include aggregating predictions.

Abstract: A system and a method for Alzheimer's disease prediction using a neural network, a computer-readable recording medium with a stored program, and a computer program product are provided. The processor obtains a first brain MRI data, a second brain MRI data, a first neuropsychological assessment score, and a second neuropsychological assessment score. The processor obtains a plurality of image feature data according to the first brain MRI data and the second brain MRI data. Each image feature data is selected from a group consisting of a plurality of hippocampal subfield geometric change data. The processor obtains a neuropsychological change data according to the first neuropsychological assessment score and the second neuropsychological assessment score. The processor obtains an Alzheimer's disease prediction result according to the neural network module, the image feature data, and the neuropsychological change data.

Abstract: The present disclosure relates to a method for providing biomarker for early detection of Alzheimer's Disease (AD), and particularly to a method that is able to enhance the accuracy of predicting AD from Mild Cognitive Impairment (MCI) patients using the Hippocampus magnetic resonance imaging (MRI) scans and Mini-Mental State Examination (MMSE) data. The providing MRI images containing the anatomical structure of Hippocampus biomarker and MMSE data as a training data set; training a processor using the training data set, and the training comprising acts of receiving MRI images and MMSE data as a testing data set from a target; and classifying the test data by the trained processor to include aggregating predictions.

Abstract: A system and a method for Alzheimer's disease prediction using a neural network, a computer-readable recording medium with a stored program, and a computer program product are provided. The processor obtains a first brain MRI data, a second brain MRI data, a first neuropsychological assessment score, and a second neuropsychological assessment score. The processor obtains a plurality of image feature data according to the first brain MRI data and the second brain MRI data. Each image feature data is selected from a group consisting of a plurality of hippocampal subfield geometric change data. The processor obtains a neuropsychological change data according to the first neuropsychological assessment score and the second neuropsychological assessment score. The processor obtains an Alzheimer's disease prediction result according to the neural network module, the image feature data, and the neuropsychological change data.

Abstract: The present disclosure relates to a method for providing biomarker for early detection of Alzheimer's Disease (AD), and particularly to a method that is able to enhance the accuracy of predicting AD from Mild Cognitive Impairment (MCI) patients using the Hippocampus magnetic resonance imaging (MRI) scans and Mini-Mental State Examination (MMSE) data. The providing MRI images containing the anatomical structure of Hippocampus biomarker and MMSE data as a training data set; training a processor using the training data set, and the training comprising acts of receiving MRI images and MMSE data as a testing data set from a target; and classifying the test data by the trained processor to include aggregating predictions.

Abstract: A method for treating Alzheimer's disease and a method for downregulating protein aggregation in brain are disclosed, which respectively comprises: administering a zinc finger-like peptide to a subject in need thereof, wherein the zinc finger-like peptide comprises an amino acid sequence of RRSSSCK (SEQ ID NO: 1).

Abstract: A method for treating Alzheimer's disease and a method for downregulating protein aggregation in brain are disclosed, which respectively comprises: administering a zinc finger-like peptide to a subject in need thereof, wherein the zinc finger-like peptide comprises an amino acid sequence of RRSSSCK (SEQ ID NO: 1).

Abstract: A heat dissipation device of a projector for transmitting the heat from a lamp out of the projector, the heat dissipation device comprises a fan, a diversion duct, and a division vane. The diversion duct is used for changing the direction of the air flow that generated by the fan to a second direction from a first direction; and the division vane is disposed within the diversion duct for splitting the air flow to discharge the air flow with uniform distributing heat off the diversion duct.

Abstract: A heat dissipation device of a projector for transmitting the heat from a lamp out of the projector, the heat dissipation device comprises a fan, a diversion duct, and a division vane. The diversion duct is used for changing the direction of the air flow that generated by the fan to a second direction from a first direction; and the division vane is disposed within the diversion duct for splitting the air flow to discharge the air flow with uniform distributing heat off the diversion duct.

Abstract: An optical engine includes a light source, an optical main body and a projection lens. The optical main body includes a reflective light valve, a case, a first heat-dissipating device and a heat-insulating device. The reflective light valve reflects the incident light beam to form an image light beam or a dumped light beam that is not projected into the projection lens. The case encloses the light paths of the incident light beam, the image light beam and the dumped light beam. An opening is on the case for the dumped light beam to be projected into. A first heat-dissipating device is fixed on the case and covers the opening for removing the heat generated by the dumped light beam. A heat-insulating device is disposed between the first heat-dissipating device and the case for preventing the heat conduction between the first heat-dissipating device and the case.

Abstract: An optical engine includes a light source, an optical main body and a projection lens. The optical main body includes a reflective light valve, a case, a first heat-dissipating device and a heat-insulating device. The reflective light valve reflects the incident light beam to form an image light beam or a dumped light beam that is not projected into the projection lens. The case encloses the light paths of the incident light beam, the image light beam and the dumped light beam. An opening is on the case for the dumped light beam to be projected into. A first heat-dissipating device is fixed on the case and covers the opening for removing the heat generated by the dumped light beam. A heat-insulating device is disposed between the first heat-dissipating device and the case for preventing the heat conduction between the first heat-dissipating device and the case.