Abstract: An optical film includes a block copolymer film defining a plurality of helically shaped cavities and a plurality of helically shaped organic solid crystals positioned within the plurality of helically shaped cavities. A method of making the optical film includes obtaining a film of a block copolymer solution including a chiral block copolymer and a non-chiral block copolymer on a substrate. The method includes annealing the film, thereby forming a plurality of helical structures from the chiral block copolymer defined within the non-chiral block copolymer and removing the plurality of helical structures, thereby creating a plurality of helically shaped cavities. The method further includes forming organic solid crystals inside the plurality of helically shaped cavities, thereby forming the optical film.

Abstract: A model-assisted annotating system is operable to receive a first set of annotation data, corresponding to a broad type of annotation data output. A first training step is performed to train a computer vision model using the first set of annotation data. A second set of annotation data corresponding to the broad type of annotation data output is generated performing an inference function utilizing the computer vision model on medical scans. Additional annotation data further specifies the broad type of annotation data output is received. A second training step is performed to generate an updated computer vision model using set of additional annotation data. A third set of annotation data corresponding to the specified type of annotation data output is generated by performing an updated inference function utilizing the updated computer vision model on medical scans.

Abstract: Compositions are provided including an uncrosslinked thermoplastic nitrogen-containing matrix material and composite particles distributed in the matrix material. The composite particles each include a chemical blowing agent particle encapsulated within a shell including an uncrosslinked thermoplastic material. The uncrosslinked thermoplastic material exhibits at least a certain minimum complex viscosity at a decomposition temperature of the chemical blowing agent particle. Also described are foam compositions and particles including the foam compositions, such as a sheet or multilayer construction. Composite particles are further provided. Methods of making the foam compositions are additionally described herein. Also, polishing pads, polishing systems, and methods of polishing a substrate are provided.

Abstract: A signal contact member and a ground contact member to which a center conductor and an outer conductor of a coaxial cable are connected are supported by an insulating housing member. The ground contact member has an annular fitting portion that fits and connects to the ground contact portion of a mate connector device. The annular fitting portion is provided with an opening for disposing a center conductor connection portion of the signal contact member. A shell portion of a ground contact member or an insulating housing member is provided with a conductive member given a ground potential. The conductive member partially fills the opening in the annular fitting portion.

Abstract: A stator for a disk motor, a stator supporting ring and a compressor belong to the field of refrigeration technology. The stator includes a ring-shaped stator core including a plurality of ring-shaped or arc-shaped layers of magnetically conductive materials laminated on each other in a radial direction. In addition, the stator supporting ring is configured to fix a stator for a disk motor and has an inner wall fitted over a stator yoke of the stator. The compressor includes: a shell; a compression unit fixed within the shell; and a disk motor coupled with the compression unit. The disk motor includes: a rotor, and at least one stator fixed to the shell by the stator supporting ring.

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 method of adjusting a neuromuscular-signal sensor is provided. The method includes monitoring, based on data from a wearable device that includes a neuromuscular-signal sensor, an impedance at the sensor that impacts the neuromuscular-signal sensor’s ability to sense neuromuscular signals. The neuromuscular-signal sensor is coupled to the wearable device such that it contacts a portion of a user’s skin. In response to detecting a change in the impedance at the neuromuscular-signal sensor that causes the impedance to be outside of a predefined range of impedance values, the method includes causing an adjustment to an operational characteristic (e.g., causing the neuromuscular-signal sensor to move or adjusting an electrical characteristic) associated with the neuromuscular-signal sensor such that the impedance at the neuromuscular-signal sensor is within the predefined range of impedance values after the adjustment to the operational characteristic.

Abstract: A multi-model medical scan analysis system is operable to generate a generic model by performing a training step on image data of a plurality of medical scans and corresponding labeling data. A plurality of fine-tuned models are generated by performing a fine-tuning step on the generic model. Abnormality detection data is generated for a new medical scan by utilizing the generic model. A first one of the plurality of abnormality types that is detected in the new medical scan is determined based on a corresponding one of the plurality of probability values. Additional abnormality data is generated by performing a fine-tuned inference function on the image data of the new medical scan that utilizes one of the plurality of fine-tuned models that corresponds to the first one of the plurality of abnormality types. The additional abnormality data is transmitted for display.

Abstract: Disclosed apparatus may include a membrane, a first electrode supported by the membrane, a second electrode, and optionally a controller configured to control an electrical potential applied between the first electrode and the second electrode. Example apparatus may include one or more flexible membranes that may, at least in part, define an enclosure that is at least partially filled with a dielectric fluid. A flexible membrane may include a functionalized polymer or inorganic dielectric material, such as a fluoropolymer composite including at least one electrically conductive additive and/or at least one toughener. Examples also include associated materials (e.g., polymers), methods of fabrication, methods of apparatus operation, and systems.

Abstract: An optically anisotropic polymer thin film includes a crystallizable polymer and an additive configured to interact with the polymer (e.g., via ?-? interactions) to facilitate chain alignment and, in some examples, create a higher crystalline content within the polymer thin film. The polymer thin film may be characterized by a bimodal molecular weight distribution where the molecular weight of the additive may be less than approximately 50% of the molecular weight of the crystallizable polymer. Example crystallizable polymers include polyethylene naphthalate, polyethylene terephthalate, polybutylene naphthalate, polybutylene terephthalate, as well as derivatives thereof. Example additives, which may occupy up to approximately 10 wt. % of the polymer thin film, include aromatic ester oligomers, aromatic amide oligomers, and polycyclic aromatic hydrocarbons, for example. The optically anisotropic polymer thin film may be characterized by a refractive index greater than approximately 1.

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 method includes generating a longitudinal lesion model by performing a training step on a plurality of sets of longitudinal data. Dates of medical scans of different ones of the plurality of sets of longitudinal data have relative time differences corresponding to different time spans, and each set of the plurality of sets of longitudinal data corresponds to one of a plurality of different patients. The longitudinal lesion model is utilized to perform an inference step on a received medical scan to generate, for a lesion detected in the received medical scan, a plurality of lesion change prediction data for a corresponding plurality of different projected time spans ending after the current date. At least one of the plurality of lesion change prediction data is transmitted for display.

Abstract: A method includes generating first contrast significance data for a first computer vision model generated from a first training set of medical scans. First significant contrast parameters are identified based on the first contrast significance data. A first re-contrasted training set is generated based on performing a first intensity transformation function on the first training set of medical scans, where the first intensity transformation function utilizes the first significant contrast parameters. A first re-trained model is generated from the first re-contrasted training set, which is associated with corresponding output labels based on abnormality data for the first training set of medical scans. Re-contrasted image data of a new medical scan is generated based on performing the first intensity transformation function. Inference data indicating at least one abnormality detected in the new medical scan is generated based on utilizing the first re-trained model on the re-contrasted image data.

Abstract: A peer-review flagging system is operable to train a computer vision model and to generate automated assessment data by performing an inference function on a first medical scan by utilizing the computer vision model. Human assessment data is generated based on a first medical report written by a medical professional in conjunction with review of the first medical scan. First consensus data is generated based on the automated assessment data, the human assessment data, and a first threshold, and the first medical scan is determined to be flagged based on the first consensus data. A second threshold is selected use in generating second consensus data for a second medical scan and a second medical report written by the medical professional in conjunction with review of the second medical scan, and is selected to be stricter than the first threshold based on determining to flag the first medical scan.

Abstract: A fluidic optical element includes a fluid bilayer having a first fluid layer and a second fluid layer defining a fluid interface therebetween, and an electrode disposed over a surface of the fluid bilayer. The geometry of the fluid interface and hence the optical response of the fluid bilayer to incident light may be manipulated using the principle of dielectrophoresis.

Abstract: A medical scan triaging system is operable to train a computer vision model and to generate abnormality data indicating abnormality probabilities for medical scans via the computer vision model. A first subset of medical scans is determined by identifying medical scans with abnormality probabilities greater than a first probability value of a triage probability threshold. A second subset of medical scans is determined by identifying medical scans with abnormality probabilities less than the first probability value. An updated first subset of medical scans is determined by identifying medical scans with abnormality probabilities greater than a second probability value of an updated triage probability threshold. An updated second subset of the plurality of medical scans is determined by identifying medical scans with a abnormality probabilities less than the second probability value. The updated first subset of medical scans is transmitted to client devices.

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 label generating system operates to generate an artificial intelligence model by: training on a training data set that includes the plurality of medical scans with the corresponding global labels; generating testing global probability data by performing an inference function that utilizes the artificial intelligence model on the plurality of medical scans with the corresponding global labels, wherein the testing global probability data indicates a testing set of global probability values corresponding to the set of abnormality classes, and wherein each of the testing set of global probability values indicates a probability that a corresponding one of the set of abnormality classes is present in each of the plurality of medical scans with the corresponding global labels; comparing the testing set of global probability values to a corresponding confidence threshold for each of the plurality of medical scans selected based on the corresponding one of the global labels; generating an updated training data set b

Abstract: A medical scan assisted review system is operable to receive, via a network, a medical scan for review. Abnormality data is generated by identifying a plurality of abnormalities in the medical scan by utilizing a computer vision model that is trained on a plurality of training medical scans. The abnormality data includes location data and classification data for each of the plurality of abnormalities. Text describing each of the plurality of abnormalities is generated based on the abnormality data. The abnormality data and the text is transmitted to a client device. A display device associated with the client device displays the abnormality data in conjunction with the medical scan via an interactive interface, and the display device further displays the text via the interactive interface.

Abstract: An actuatable device includes a first ionoelastomer membrane disposed over and locally spaced away from a second ionoelastomer membrane, the first and second ionoelastomer membranes defining a dielectric fluid-containing reservoir therebetween, a primary electrode overlying a portion of the first ionoelastomer membrane, and a secondary electrode overlying a portion of the second ionoelastomer membrane.