Abstract: A compressor and a control method thereof are provided. The compressor includes a motor with a rotor of a permanent magnet. According to embodiments, the method of controlling the compressor includes: applying a detection current to the motor in response to a command of starting the compressor; detecting whether there is demagnetization of the permanent magnet of the rotor according to a response of the motor to the applied detection current; resetting an operating parameter of the compressor if there is the demagnetization; and starting the compressor according to the reset operating parameters. According to embodiments of the present disclosure, when the compressor is to be started, demagnetization is detected first, and the operating parameter are set accordingly, so as to suppress or avoid performance degeneration due to the demagnetization.

Abstract: A chest x-ray differential diagnosis system is operable to generate abnormality pattern data is generated for each of a received plurality of chest x-rays by identifying at least one pattern in each chest x-ray corresponding to an abnormality by utilizing a computer vision model that is trained on a plurality of training chest x-rays. Differential diagnosis data is generated for each chest x-ray based on the abnormality pattern data. Filtering parameters are received from a client device, and a filtered chest x-ray queue that includes a subset of chest x-rays is selected based on the filtering parameters and the differential diagnosis data is generated for transmission to the client device for display. Differential diagnosis data corresponding a chest x-ray indicated in chest x-ray selection data received from the client device is transmitted to the client device for display via the display device in conjunction with the chest x-ray.

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: The present disclosure provides a parameter control system for a motor, comprising: a current acquisition circuit connected to the motor, so as to acquire a current output by the motor; an arithmetic processor configured to determine whether to adjust a parameter of the motor according to the current acquired, and generate a new parameter when it is determined to adjust the parameter of the motor; and an output circuit configured to output the new parameter generated by the arithmetic processor to a control device of the motor. The present disclosure also provides a motor including the parameter control system.

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: 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: 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 lung screening assessment system is operable to receive a chest computed tomography (CT) scan that includes a plurality of cross sectional images. Nodule classification data of the chest CT scan is generated by utilizing a computer vision model that is trained on a plurality of training chest CT scans to identify a nodule in the plurality of cross sectional images and determine an assessment score. A lung screening report that includes the assessment score of the nodule classification data is generated for display on a display device associated with a user of the lung screening assessment system.

Abstract: A modified aluminum nitride particle comprises an aluminum nitride core and a shell surrounding the aluminum nitride core. The shell comprises a crosslinked organic polymer. Methods of making the modified aluminum nitride particle by admicellar polymerization are also disclosed.

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 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: Embodiments of the present invention relate to the field of storage technologies, and provide a distributed database processing method. A database processing device receives an access request; obtains, from a partition routing table of the data table according to the query index field and the value of the query index field, partition information and a value that correspond to the query index field; and sends, according to the partition information and the value of the partition information that correspond to the query index field and the value of the query index field, the access request to a database corresponding to the partition information and the value of the partition information.

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: A clinical trial re-evaluation system is operable to perform at least one assessment function on a set of medical scans for each of a first subset of a set of patients of a failed clinical trial to generate automated assessment data for each of the first subset of the set of patients. The first subset of the set of patients corresponds to a subset of human assessment data determined to have failed to meet criteria of the clinical trial. Patient re-evaluation data is generated for each of the first subset of the set of patients by comparing the automated assessment data to the criteria. The patient re-evaluation data for a second subset of the first subset of the set of patients indicates the automated assessment data passes the criteria. Trial re-evaluation data is generated based on the patient re-evaluation data for transmission to a computing device for display.

Abstract: A medical scan diagnosing system is operable to receive a medical scan. Diagnosis data of the medical scan is generated by performing a medical scan inference function on the medical scan. The first medical scan is transmitted to a first client device associated with a user of the medical scan diagnosing system in response to the diagnosis data indicating that the medical scan corresponds to a non-normal diagnosis. The medical scan is displayed to the user via an interactive interface displayed by a display device corresponding to the first client device. Review data is received from the first client device, where the review data is generated by the first client device in response to a prompt via the interactive interface. Updated diagnosis data is generated based on the review data. The updated diagnosis data is transmitted to a second client device associated with a requesting entity.

Abstract: A method for obtaining a binocular panoramic image is performed at an electronic apparatus. The method includes: 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; obtaining a second monocular panoramic image through mapping by using one of the two panoramic images as a first monocular panoramic image, in combination with the corresponding depth information and a preset pupil distance between a first eye and a second eye; and displaying the first monocular panoramic image and the second monocular panoramic image in corresponding display regions.

Abstract: A medical scan triaging system is operable to generate a global abnormality probability for each of a plurality of medical scans by utilizing a computer vision model trained on a training set of medical scans; generate comparison data by comparing the global abnormality probability for each of the plurality of medical scans to a triage probability threshold; sort the plurality of medical scans, based on the comparison data, into a first subset of the plurality of medical scans, each having one of the plurality of abnormalities present, and a second subset of the plurality of medical scans, each having all of the plurality of abnormalities absent; and facilitate transmission, based on the sorting, of the first subset of the plurality of medical scans and the second subset of the plurality of medical scans to at least one medical scan viewing system.

Abstract: A multi-label heat map generating system is operable to receive a plurality of medical scans and a corresponding plurality of medical 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 medical 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. Preliminary heat map visualization data can be generated for transmission to a client device based on the probability matrix data. Heat map visualization data can be generated via a post-processing of the preliminary heat map visualization data to mitigate heat map artifacts.

Abstract: A multi-label generating system is configured to: store a first plurality of medical scans with corresponding global labels and a second plurality of medical scans with corresponding region labels, wherein the global labels each correspond to one of a set of abnormality classes and wherein each of the region labels correspond to one of the set of abnormality classes; generate a computer vision model by training on the first plurality of medical scans with the corresponding global labels and the second plurality of medical scans with the corresponding region labels; receive a new medical scan; generate global probability data based on the computer vision model, wherein the global probability data indicates a set of global probability values corresponding to the set of abnormality classes, and wherein each of the set of global probability values indicates a probability that a corresponding one of the set of abnormality classes is present in the new medical scan; and transmit the global probability data to a cli

Abstract: A thermally conductive adhesive is provided. The thermally conductive adhesive includes a polyolefin block-containing copolymer, a tackifier, and a thermally conductive filler. The thermally conductive adhesive is a crosslinked pressure sensitive adhesive, plus exhibits a high elongation at break. Additionally provided are thermally conductive articles, including a thermally conductive adhesive on a substrate and a thermally conductive pad. A method of making a thermally conductive adhesive is also provided, including exposing a composition to radiation to crosslink the composition.