Abstract: Anti-glare glass-based articles and methods of processing a glass based article to reduce warp are disclosed. A method for processing a glass-based article includes etching a first surface of the glass article to create a first anti-glare surface having a plurality of first anti-glare features and etching a second surface of the glass-based article to create a second anti-glare surface having a plurality of second anti-glare features. At least one of a length, a width, and a diagonal of the glass-based article is greater than or equal to 500 mm. A difference of warp between a first warp value before etching the first surface and the second surface and a second warp value after etching the first surface and the second surface is less than or equal to 0.15 mm across each of one or more 500 mm intervals of length, width, or diagonal of the glass-based article.

Abstract: A fluid injection control system, a fluid injection control method and a fluid circulation system including the fluid injection control system are provided. The fluid injection control system includes an injection valve, control apparatus and energy storage apparatus. The injection valve is arranged in a path along which a fluid flows into a device; the energy storage apparatus is configured to supply, in response to the control apparatus being powered off, power to the control apparatus so as to maintain an operation of the control apparatus.

Abstract: A medical scan annotator system is operable to select a medical scan for transmission via a network to a first client device and a second client device for display via an interactive interface, and annotation data is received from the first client device and the second client device in response. Annotation similarity data is generated by comparing the first annotation data to the second annotation data, and consensus annotation data is generated based on the first annotation data and the second annotation data in response to the annotation similarity data indicating that the difference between the first annotation data and the second annotation data compares favorably to an annotation discrepancy threshold. The consensus annotation data is mapped to the medical scan in a medical scan database.

Abstract: A multi-label heat map display system is operable to receive a medical scan and a set of heat maps set of heat maps that each correspond to probability matrix data generated for each of a set of abnormality classes. An interactive interface that displays image data of the medical scan and at least one of the set of heat maps is generated for display on a display device associated with the multi-label heat map display system. User input to a client device is received, and an updated interactive interface that includes a change to the display of the at least one of the set of heat maps by the second portion of the interactive interface in response to the user input is displayed.

Abstract: An intensity transform augmentation system is operable to generate a plurality of sets of augmented images by performing a set of intensity transformation functions on each of a training set of medical scans. Each of the set of intensity transformation functions are based on density properties of corresponding anatomy feature present in the training set of medical scans. A computer vision model is generated by performing a training step on the plurality of sets of augmented images, where each augmented image of a set of augmented images is assigned same output label data based on a corresponding one of the training set of medical scans. Inference data is generated by performing an inference function on a new medical scan by utilizing the computer vision model on the new medical scan. The inference data is transmitted to a client device for display via a display device.

Abstract: A global multi-label generating system is operable to receive a plurality of medical scans and a corresponding plurality of global labels that each correspond to one of a set of abnormality classes. A computer vision model is generated by training on the medical scans and the global labels. Probability matrix data, which includes a set of image patch probability values that each indicate a probability that a corresponding one of the set of abnormality classes is present in each of a set of image patches, is generated by performing an inference function that utilizes the computer vision model on a new medical scan. Global probability data that includes a set of global probability values each indicating a probability that a corresponding one of the set of abnormality classes is present in the new medical scan is generated based on the probability matrix data for transmission to a client device.

Abstract: The invention relates to an ophthalmic product which comprises a sealed and autoclave-sterilized lens package including (1) a post-autoclave packaging solution containing a polymeric surfactant having an HLB value of from about 11 to about 16 and a Mn of from about 800 to about 20,000 Daltons and (2) a readily-usable silicone hydrogel (SiHy) contact lens immersed in the packaging solution. The readily-usable SiHy contact lens comprises the polymeric surfactant thereon providing an excellent wettability to the readily-usable SiHy contact lens directly out of the lens package, and also the leachable polymeric surfactant which is physically distributed in the polymer matrix of the SiHy contact lens and can be released to the eye of a patient for at least 7 days of daily wear and to replenish the lens surface-bound polymeric surfactant to provide sustainable wettabilities to the contact lens and the eye.

Abstract: A multi-label heat map display system is operable to receive a medical scan and a set of heat maps set of heat maps that each correspond to probability matrix data generated for each of a set of abnormality classes. An interactive interface that displays image data of the medical scan and at least one of the set of heat maps is generated for display on a display device associated with the multi-label heat map display system. User input to a client device is received, and an updated interactive interface that includes a change to the display of the at least one of the set of heat maps by the second portion of the interactive interface in response to the user input is displayed.

Abstract: Curable compositions, cured compositions formed from the curable compositions, and articles containing the cured compositions are provided. The curable compositions include (a) a curable component that includes (1) an epoxy resin, (2) a polyamide composition, (3) a multifunctional amine compound, and (4) a multifunctional (meth)acrylate compound and (b) an optional inorganic filler. The curable composition can result in the formation of cured compositions with properties such as good tensile strength, good elongation at break, good overlap shear strength, good adhesion to substrates such as metal substrates, or a combination thereof.

Abstract: An electronic component and a method of manufacturing an electronic component, the method including surface mounting electronic components to a printed circuit board (PCB), applying a flip-chip die integrated circuit (IC) to the PCB and underfilling the flip-chip IC to secure the PCB. The method also includes sintering a copper block to the PCB, where the copper block is in thermal communication with the IC and acts as a thermal path for removing heat generated by the flip-chip IC.

Abstract: A curable composition includes a polyamide composition that includes a first polyamide. The first polyamide includes a tertiary amide in the backbone thereof and is amine terminated. The curable composition further includes an amino functional compound comprising from 2 to 20 carbon atoms, a multifunctional (meth)acrylate, an epoxy resin, and an inorganic filler. The inorganic filler is present an amount of at least 25 wt. %, based on the total weight of the curable composition.

Abstract: A triage routing system is operable to receive a medical scan via a receiver. Inference data for the medical scan is generated by performing an inference function, where the inference function utilizes a computer-vision model trained on a plurality of medical scans. One of a plurality of medical professionals is selected to review the medical scan based on the inference data. Triage routing data that indicates the medical scan and the one of the plurality of medical professionals is generated. The medical scan is transmitted to a client device associated with the one of the plurality of medical professionals for display via a display device in accordance with the triage routing data.

Abstract: A medical scan report labeling system is operable to transmit a medical report that includes natural language text to a first client device for display. Identified medical condition term data is received from the first client device in response. An alias mapping pair in a medical label alias database is identified by determining that a medical condition term of the alias mapping pair compares favorably to the identified medical condition term data. A medical code that corresponds to the alias mapping pair and a medical scan that corresponds to the medical report are transmitted to a second client device of an expert user for display, and accuracy data is received from the second client device in response. The medical code is mapped to the first medical scan in the medical scan database when the accuracy data indicates that the medical code compares favorably to the medical scan.

Abstract: An electrocardiogram (ECG) interpretation system is operable to receive a captured image of an ECG printout. A waveform detection function is performed on the captured image to determine a plurality of locations of a plurality of ECG waveforms in the captured image. A plurality of waveform images are generated by partitioning the captured image based on the plurality of locations, where each of the plurality of waveform images includes one of the plurality of ECG waveforms. A plurality of pseudo-raw ECG signal data is generated by performing a signal reconstruction function on each of the plurality of waveform images, where each of the plurality of pseudo-raw ECG signal data corresponds to one of the plurality of waveform images. Diagnosis data is generated by performing a diagnosing function on the plurality of pseudo-raw ECG signal data. The diagnosis data is transmitted to a client device for display via a display device.

Abstract: A multi-label heat map generating system is operable to receive a plurality of medical scans and a corresponding plurality of global labels that each correspond to one of a set of abnormality classes. A computer vision model is generated by training on the medical scans and the global labels. Probability matrix data, which includes a set of image patch probability values that each indicate a probability that a corresponding one of the set of abnormality classes is present in each of a set of image patches, is generated by performing an inference function that utilizes the computer vision model on a new medical scan. Heat map visualization data can be generated for transmission to a client device based on the probability matrix data that indicates, for each of the set of abnormality classes, a color value for each pixel of the new medical scan.

Abstract: A releasable medical drape, and systems and methods having the same, includes at least a liquid-impermeable, vapor-permeable layer, a pressure-sensitive adhesive layer, and a soft-gel layer having a plurality of apertures. The soft-gel layer is configured to be disposed adjacent to a tissue site. A portion of the pressure-sensitive adhesive layer extends through the plurality of apertures in the soft-gel layer to contact the tissue site. The soft-gel layer forms a good seal with the tissue site and the pressure-sensitive adhesive layer extending through the plurality of apertures forms a firm—but releasable—coupling with the tissue site.

Abstract: An intensity transform augmentation system is operable to receive a training set of medical scans. Random intensity transformation function parameters are generated for each medical scan of the training set of medical scans. A plurality of augmented images are generated, where each of the plurality of augmented images is generated by performing a intensity transformation function on one of the training set of medical scans by utilizing the random intensity transform parameters generated for the one of the training set of medical scan. A computer vision model is generated by performing a training step on the plurality of augmented images. A new medical scan is received via the receiver. Inference data is generated by performing an inference function that utilizes the computer vision model on the new medical scan. The inference data is transmitted to a client device for display via a display device.

Abstract: A method for obtaining a binocular panoramic image is performed at an electronic apparatus, including: obtaining first and second panoramic images acquired by two panoramic cameras; obtaining at least one group of a first pixel located in the first panoramic image and a second pixel located in the second panoramic image; calculating a distance between the first pixel and the second pixel in each group, and obtaining depth information corresponding to the two panoramic image according to the distance between the first pixel and the second pixel; converting the first panoramic image and the second panoramic image into a first monocular panoramic image and a second monocular panoramic image, respectively in accordance with the corresponding depth information and a preset pupil distance between a first eye and a second eye; and combining a display of the first monocular panoramic image and the second monocular panoramic image in corresponding display regions.

Abstract: A global multi-label generating system is operable to receive a plurality of medical scans and a corresponding plurality of global labels that each correspond to one of a set of abnormality classes. A computer vision model is generated by training on the medical scans and the global labels. Probability matrix data, which includes a set of image patch probability values that each indicate a probability that a corresponding one of the set of abnormality classes is present in each of a set of image patches, is generated by performing an inference function that utilizes the computer vision model on a new medical scan. Global probability data that includes a set of global probability values each indicating a probability that a corresponding one of the set of abnormality classes is present in the new medical scan is generated based on the probability matrix data for transmission to a client device.