Abstract: Disclosed are a material analysis method based on the crystal structure database, a system, a computer-readable storage medium and an application. The material analysis method includes comparing experimental pattern information obtained from examination of a to-be-tested sample with theoretical pattern information calculated from material structure data in the crystal structure database, and obtaining crystallographic information and phase composition of the to-be-tested sample through intelligent analysis. The crystallographic information include space group, unit cell parameter, and specific coordinates of atoms in unit cell. The crystal structure database has material structure data obtained by experimental measurement and/or theoretical prediction, including chemical formula, space group, unit cell parameter and specific coordinates of atoms in unit cell.

Abstract: A barcode decoding system decodes item identifiers from images of barcodes. The barcode decoding system receives an image of a barcode and rotates the image to a pre-determined orientation. The barcode decoding system also may segment the barcode image to emphasize the portions of the image that correspond to the barcode. The barcode decoding system generates a binary sequence representation of the item identifier encoded in the barcode by applying a barcode classifier model to the barcode image, and decodes the item identifier from the barcode based on the binary sequence representation.

Abstract: A containerized immersion cooling system is provided. The system includes a container with a tank provided therein, wherein the container includes a first side wall having a first port and a second port; a coolant inlet pipe coupled to a first side of the first port; a warmed fluid pipe coupled to a first side of the second port; and a coolant distributor coupled to a second side of the first port.

Abstract: A smart shopping cart includes internally facing cameras and an integrated scale to identify objects that are placed in the cart. To avoid unnecessary processing of images that are irrelevant, and thereby save battery life, the cart uses the scale to detect when an object is placed in the cart. The cart obtains images from a cache and sends those to an object detection machine learning model. The cart captures and sends a load curve as input to the trained model for object detection. Labeled load data and labeled image data are used by a model training system to train the machine learning model to identify an item when it is added to the shopping cart. The shopping cart also uses weight data and the image data from a timeframe associated with the addition of the item to the cart as inputs.

Abstract: A barcode decoding system decodes item identifiers from images of barcodes. The barcode decoding system receives an image of a barcode and rotates the image to a pre-determined orientation. The barcode decoding system also may segment the barcode image to emphasize the portions of the image that correspond to the barcode. The barcode decoding system generates a binary sequence representation of the item identifier encoded in the barcode by applying a barcode classifier model to the barcode image, and decodes the item identifier from the barcode based on the binary sequence representation.

Abstract: The present disclosure pertains to the field of biomedicine, and specifically relates to a method for treating, suppressing, reducing the severity of, lowering the risk of, or inhibiting the metastasis of cancer in an individual, the method comprising administering to the individual a therapeutically effective amount of an IAP inhibitor, a therapeutically effective amount of a modulator of an immune checkpoint molecule, and optionally a therapeutically effective amount of a tubulin inhibitor. The present disclosure further relates to a pharmaceutical composition or kit comprising an IAP inhibitor, a modulator of an immune checkpoint molecule, and optionally a tubulin inhibitor.