Abstract: A vehicle drive unit that provides improved power transfer to a differential input member of a differential assembly. The vehicle drive unit is configured with an interlock system that is configured to inhibit the supply of electrical power from a source of electrical power if certain predetermined conditions are not met.

Abstract: A method includes receiving (402) a plurality of reference signals (301-303) at an antenna port of a communication device (101). Each reference signal (301-303) is sent using a corresponding precoder. The precoder is selected from a first set of precoders. The method further includes determining (403) a channel estimate based on the received plurality of reference signals (301-303), and selecting (404) a precoder from a second set of precoders based on the determined channel estimate. The second set of precoders comprises at least one precoder in addition to the precoders of the first set of precoders. The method includes sending (405) an indication (304) relating to the selected precoder.

Abstract: Embodiments disclosed herein generally relate to connected machine learning models with joint training for lesion detection. Particularly, aspects of the present disclosure are directed to accessing a three-dimensional magnetic resonance imaging (MRI) image, wherein the three-dimensional MRI image depicts a region of a brain of a subject, wherein the region of the brain includes at least a first type of lesions and a second type of lesions; inputting the three-dimensional MRI image into a machine-learning model comprising a first convolutional neural network and a second convolutional neural network; generating a first segmentation mask for the first type of lesions using the first convolutional neural network that takes as input the three-dimensional MRI image; generating a second segmentation mask for the second type of lesions using the second convolutional neural network that takes as input the three-dimensional MRI image; and outputting the first segmentation mask and the second segmentation mask.

Abstract: Embodiments disclosed herein generally relate to multi-arm machine learning models for lesion detection. Particularly, aspects of the present disclosure are directed to accessing a three-dimensional magnetic resonance imaging (MRI) images. Each of the three-dimensional MRI images depict a same volume of a brain of a subject. The volume of the brain includes at least part of one or more lesions. Each three-dimensional MRI image of the three-dimensional MRI images is processed using one or more corresponding encoder arms of a machine-learning model to generate an encoding of the three-dimensional MRI image. The encodings of the three-dimensional MRI images are concatenated to generate a concatenated representation. The concatenated representation is processed using a decoder arm of the machine-learning model to generate a prediction that identifies one or more portions of the volume of the brain predicted to depict at least part of a lesion.

Abstract: A vehicle drive unit that provides improved power transfer to a differential input member of a differential assembly. The vehicle drive unit is configured with an interlock system that is configured to inhibit the supply of electrical power from a source of electrical power if certain predetermined conditions are not met.

Abstract: Systems and methods relate to processing optical tomography coherence (OCT) images to predict characteristics of a treatment to be administered to effectively treat age-related macular degeneration. The processing can include pre-processing the image by flattening and/or cropping the image and processing the pre-processed image using a neural network. The neural network can include a deep convolutional neural network. An output of the neural network can indicate a predicted frequency and/or interval at which a treatment (e.g., anti-vascular endothelial growth factor therapy) is to be administered so as to prevent leakage of vasculature in the eye.

Abstract: Medical image(s) are input into a detection network to generate mask(s) identifying a set of regions within the medical image(s), where the detection network predicts that each region identified in the mask(s) includes a depiction of a tumor of one or more tumors within the subject. For each region, the region of the medical image(s) is processed using a tumor segmentation network to generate one or more tumor segmentation boundaries for the tumor present within the subject. For each tumor and by using a plurality of organ-specific segmentation networks, an organ is determined within which at least part of the tumor is located. An output is generated based on the one or more tumor segmentation boundaries and locations of the organs within which at least part of the one or more tumors are located.

Abstract: Systems and methods disclosed herein relate to using a machine-learning model to process an input of a subject's eye and to predict a current or future visual acuity of the subject. The subject may have been diagnosed with age-related macular degeneration. The predicted current or future visual acuity may be used to (for example) facilitate diagnosing the subject (e.g., with a particular type of age-related macular degeneration), facilitate identifying a treatment strategy for the subject, and/or facilitate designing a clinical study.

Abstract: The present disclosure relates to techniques for segmenting tumors with positron emission tomography (PET) using deep convolutional neural networks for image and lesion metabolism analysis.

Abstract: A transmission can include a first gear, a shaft, a second gear, a third gear and a first biasing member. The first gear can be disposed about a first rotational axis. The shaft can be disposed about a second rotational axis. The second gear can be fixedly coupled to the shaft and can be configured to meshingly engage the first gear. The third gear can be non-rotatably coupled to the shaft. The third gear can be axially slidable along the shaft and can be configured to meshingly engage the first gear. The first biasing member can bias the third gear axially away from the second gear and into engagement with the first gear.

Abstract: The present teachings provide for a transmission including a first gear, a shaft, a second gear, a third gear and a first biasing member. The first gear can be disposed about a first rotational axis. The shaft can be disposed about a second rotational axis. The second gear can be fixedly coupled to the shaft and can be configured to meshingly engage the first gear. The third gear can be non-rotatably coupled to the shaft. The third gear can be axially slidable along the shaft and can be configured to meshingly engage the first gear. The first biasing member can bias the third gear axially away from the second gear and into engagement with the first gear.

Abstract: A test kit is disclosed for diagnosing periodontal disease in a patient by analysing a sample from the oral cavity of the patient. The test kit includes at least a first detection assay for detection of a first substance originating from bacteria and at least a second detection assay for detection of a second substance originating from the immune or inflammatory system of the patient.

Abstract: Example embodiments include a method for monitoring an optical network. The method provides received network data to a network model, which determines if there is an inconsistency within the optical network. The network models include a statistical model and a detailed-physical model, both of which model amplifier physics.

Abstract: The invention concerns a vehicle front interior structure comprising an air flow distribution duct arranged essentially parallel with a windshield. The invention is characterized in that the distribution duct is divided into at least two sections connected by a flexible joint that extends in a direction essentially across the distribution duct.

Abstract: In dispensers (1) for rolls (9) of household paper the paper web has been pulled from either the exterior or the interior of the roll. This is a drawback since, while being pulled out the strip of paper (12) becomes twisted. The present invention solves this problem in that the paper roll is rotatable about an axis perpendicular to the direction of movement of the paper web or by means of a paper unit (9) which is preferably parallel-epipedic and one end of which can be pulled out.

Abstract: An apparatus for the inward or final folding of end portions of a covering on a panel (5). The covering (1) surrounds the panel (5) and extends out over one edge to such an extent that at least first inward folds (17, 18) overlap one another from two opposite edges. Second inward folds (16) from the two opposing edges are located inside the overlapping, first inward folds (17, 18). A corner support (21) is placeable in the corner for folding of the second inward fold (16) about the corner support (21), with the aid of a stirrup (38) which is switchable for inward folding of the second inward fold (16) about the corner support (21) while leaving exposed an adhesive application surface on the second inward fold (16). A first folder (43) is provided for inward folding of one first inward fold (17), and a second folder (44) is provided for inward folding of another first inward fold (18) after application of adhesive to the adhesive application surface.