Abstract: Two types of blue light blocking contact lenses are provided and are formed by curing different compositions. The first composition includes a blue light blocking component formed by mixing or reacting a first hydrophilic monomer and a yellow dye, a first colored dye component formed by mixing or reacting a second hydrophilic monomer and a first colored dye, at least one third hydrophilic monomer, a crosslinker, and an initiator. The first colored dye includes a green dye, a cyan dye, a blue dye, an orange dye, a red dye, a black dye, or combinations thereof. The second composition includes a blue light blocking component, at least one hydrophilic monomer, a crosslinker, and an initiator. The blue light blocking component is formed by mixing or reacting glycerol monomethacrylate and a yellow dye. Further, methods for preparing the above contact lenses are provided.

Abstract: A display device includes a substrate, a first light emitting element, a second light emitting element, and an optical film sheet. The first light emitting element and the second light emitting element are disposed on the substrate. The first light emitting element emits a first light, and the first light has a first wavelength range. The second light emitting element emits a second light, and the second light has a second wavelength range. The optical film sheet is disposed above the first light emitting element and the second light emitting element. The optical film sheet includes a first zone and a second zone. The first zone includes a first cholesteric liquid crystal, and the first cholesteric liquid crystal reflects light in at least the first wavelength range. The second zone includes a second cholesteric liquid crystal, and the second cholesteric liquid crystal reflects light in at least the second wavelength range.

Abstract: A device of generating inactivated viruses and killing respiratory viruses in exhaled air in real time includes a mask; a wearable assist member having two ends secured to the mask; and a filter attached to the mask, the filter including a rear exhaled air collection chamber, an intermediate member for deactivating viruses, and a front chamber for passing air with inactivated viruses all communicating with each other. The rear exhaled air collection chamber includes an inlet attached to a front portion of the mask and communicating therewith, and a space communicating with the inlet. The intermediate member for deactivating viruses includes a channel and at least one element for deactivating viruses. The front chamber for passing air with inactivated viruses includes at least one outlet on a front end and an internal fan spaced from the at least one outlet.

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 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.