Abstract: An apparatus for treating an abnormality includes a processor and a non-transitory computer readable medium that includes a first convolutional neural network (CNN) having weights and a second CNN in parallel with the first CNN and sharing the weights, the second CNN being joined to the first neural network by a distance function. The medium includes instructions that when executed by the processor implements a method. The method includes receiving a first image dataset of an area of interest and processing the first image dataset using the first CNN and receiving a second image dataset of the area of interest obtained prior to the first image dataset and processing the second image dataset using the second CNN. The method also includes identifying the abnormality using an output of the distance function wherein the identifying influences treatment of the abnormality.

Abstract: A method for making a layered structure includes mixing a red fluorescent material and a green fluorescent material with a curable resin to produce an adhesive mixture, dispensing the adhesive mixture onto a substrate, centrifuging the adhesive mixture such that the red fluorescent material and the green fluorescent material separate to form a layered structure, and curing the layered structure onto the substrate. Another method includes applying an external field to the adhesive mixture such that the red fluorescent material and the green fluorescent material separate to form a layered structure. Yet another method includes phase separating the adhesive mixture such that the red fluorescent material and green fluorescent material separate to form a layered structure.

Abstract: An apparatus for treating an abnormality includes a processor and a non-transitory computer readable medium that includes a first convolutional neural network (CNN) having weights and a second CNN in parallel with the first CNN and sharing the weights, the second CNN being joined to the first neural network by a distance function. The medium includes instructions that when executed by the processor implements a method. The method includes receiving a first image dataset of an area of interest and processing the first image dataset using the first CNN and receiving a second image dataset of the area of interest obtained prior to the first image dataset and processing the second image dataset using the second CNN. The method also includes identifying the abnormality using an output of the distance function wherein the identifying influences treatment of the abnormality.

Abstract: The present disclosure provides a quantum dot particle aggregate and a preparation method therefor, a preparation method for a light conversion device, and quantum dot particles. The preparation method for the quantum dot particle aggregate includes: mixing a plurality of first polymer particles, a first quantum dot solution and a second polymer solution, and drying to obtain an aggregate containing a plurality of quantum dot particles A, where each of the quantum dot particles A includes a core of a first polymer particle and a shell of a second polymer formed by the second polymer, a plurality of first quantum dots are positioned in the shell of the second polymer, and the first polymer particle has a minimum dimension greater than or equal to 0.3 mm. The process reduces the damage to quantum dots and can prolong the life time of application products of quantum dots.

Abstract: A method includes receiving first data based on a region of interest of tissue. The first data may be captured to represent the tissue according to a first moment. The method also includes receiving second data based on the region of interest. The second data may be captured to represent the tissue according to a second moment different from the first moment. The method also includes determining features of the first data according to a first network. The first network may comprise weights. The method also includes determining features of the second data according to the weights. The method also includes determining an input based on the features of the first data and the features of the second data. The method may also include treating a patient or adjusting treatment of the patient diagnosed by one or more of these steps. An apparatus for performing the method is disclosed.

Abstract: Described herein are membrane puncturing devices used for endovascular surgery.

Abstract: Disclosed is a daidzein derivative as represented by formula (I), or pharmaceutically acceptable salt thereof. Compared to the daidzein in the prior art, the daidzein derivative hydrochloride, in particular to the 7-O—N,N-diethyl-aminoacetyl daidzein hydrochloride, prepared by the daidzein derivative of the present invention, has better solubility and effect for treating cardiovascular diseases.

Abstract: Disclosed is a daidzein derivative as represented by formula (I), or pharmaceutically acceptable salt thereof. Compared to the daidzein in the prior art, the daidzein derivative hydrochloride, in particular to the 7-O—N,N-diethyl-aminoacetyl daidzein hydrochloride, prepared by the daidzein derivative of the present invention, has better solubility and effect for treating cardiovascular diseases.