Abstract: Aspects of the present disclosure are directed to a multi-sensor don/doff detection system for an artificial reality device headset. The multi-sensor don/doff detection system can use a combination of a proximity sensor, an inertial measurement unit (IMU), and an eye tracking/face tracking (ET/FT) unit to make these determinations. However, when both the ET/FT system and proximity sensor system are active, they can have system coexistence issues. Thus, only one of these systems can be used simultaneously. The multi-sensor don/doff detection system can more accurately identify don events by using input from the proximity sensor and the IMU. The multi-sensor don/doff detection system can also more accurately identify doff events by using input from the IMU and either A) the proximity sensor when the ET/FT system is disabled or B) the ET/FT system when the ET/FT system is enabled.

Abstract: A bridge damage identification method considering uncertainty is used for damage identification based on a convolutional neural network. A domain classifier is added to form a domain adversarial transfer network, a finite element model of a bridge and a time domain acceleration signal of a real structure serve as input, and parameters in a feature extractor are continuously updated in an adversarial process of the domain classifier and the feature extractor, so as to design a brand-new feature extractor, and to achieve a purpose that extracted features are only sensitive to damage. The bridge damage identification method can solve the problem that model-based methods for bridge damage identification are influenced by environment uncertainty or modeling error to generate a difference between the finite element model and the real structure, resulting in reduction in damage identification performance of the method in practical application.

Abstract: The specification relates to the technical field of magnetic materials, in particular to an Fe-based amorphous nanocrystalline alloy and a preparation method thereof. The Fe-based amorphous nanocrystalline alloy comprises elements, the atomic percentages of which are as shown by the formula Fe(100-a-b-c-d-e-f)BaSibPcCdCueNbf, wherein 8?a?12, 0.2?b?6, 2.0?c?6.0, 0.5?d?4, 0.6?e?1.3, 0.6?f?0.9, and 1?e/f?1.4. The Fe-based amorphous nanocrystalline alloy has good magnetic properties, excellent thermal properties and a wide crystallization temperature zone, thus being suitable for industrial production.

Abstract: The present disclosure belongs to the technical field of clean and efficient mining of deep unconventional or conventional resources, and discloses a pilot-scale supercritical water oxidation oil and hydrogen production system capable of realizing long-distance multi-stage heating of organic rock. The system comprises a supercritical water generator, a supercritical water pyrolysis reaction system for organic rock, an oxygen injection system and an oil-gas condensation and collection system, wherein the supercritical water generator mainly comprises a water injection system, a front-section preheating reaction system, a second-stage heating system and a third-stage heating system. The reaction system can carry out a pilot-scale simulation process of supercritical water pyrolysis for organic rock, a multi-stage heating function is realized, the maximum reaction distance is 8 m or more, and the release characteristics of oil-gas products under different reaction distances are explained.

Abstract: Aspects of the present disclosure are directed to a multi-sensor don/doff detection system for an artificial reality device headset. The multi-sensor don/doff detection system can use a combination of a proximity sensor, an inertial measurement unit (IMU), and an eye tracking/face tracking (ET/FT) unit to make these determinations. However, when both the ET/FT system and proximity sensor system are active, they can have system coexistence issues. Thus, only one of these systems can be used simultaneously. The multi-sensor don/doff detection system can more accurately identify don events by using input from the proximity sensor and the IMU. The multi-sensor don/doff detection system can also more accurately identify doff events by using input from the IMU and either A) the proximity sensor when the ET/FT system is disabled or B) the ET/FT system when the ET/FT system is enabled.

Abstract: A method for encapsulating openings in a display area includes: forming an intermediate layer having an isolation hole and an assembly via on a substrate, the isolation hole dividing the intermediate layer into separate display portion and isolation portion and the assembly via being spaced apart from the isolation hole by the isolation portion; forming a groove on a side of the isolation portion facing the display portion and/or on a side of the isolation portion away from the display portion; forming a light emitting layer including a first light emitting portion, a second light emitting portion, a third light emitting portion, and a fourth light emitting portion, wherein the third light emitting portion is separate from at least one of the second light emitting portion and the fourth light emitting portion; and forming an encapsulation layer that covers the light emitting layer and the isolation portion, and is filled in a groove.

Abstract: A charging device includes a first power output module, a second power output module, a first charging interface, a second charging interface, and a controller. A first switch is coupled between the first power output module and the first charging interface. A second switch is coupled between the first power output module and the second charging interface. A third switch is coupled between the second power output module and the first charging interface. A fourth switch is coupled between the second power output module and the second charging interface. The controller is used for controlling the first switch, the second switch, the third switch and the fourth switch to be turned on or off.

Abstract: The present disclosure provides a dimer formed by two polypeptide chains, with each of the two polypeptide chains comprising an antibody Fc subunit, wherein the dimer comprises two or more immunoglobulin single variable domains (ISVDs), at least one of the ISVDs is specific for PD-L1, and at least one of the ISVDs is specific for CTLA4.

Abstract: A valve actuation system comprising a valve actuation motion source configured to provide a main event valve actuation motion to at least one engine valve via a main motion load path that comprises at least one valve train component. The valve actuation system further includes a lost motion component arranged within a first valve train component in the main motion load path, the lost motion component being controllable to operate in a motion conveying state or a motion absorbing state. The valve actuation system also comprises a high lift transfer component arranged in the main motion load path, with the high lift transfer component being configured to permit the main motion load path to convey at least a high lift portion of the main event valve actuation motion when the lost motion component is in the motion absorbing state.

Abstract: Provided are novel anti-TROP2 antibodies, novel antibody-drug conjugates, and methods for preparing the same, as well as applications of the antibodies and antibody-drug conjugates for therapeutic purpose.

Abstract: Apparatuses, systems, and techniques are presented to select neural networks. In at least one embodiment, one or more first neural networks can be used to select one or more second neural networks, as may be based at least in part upon an inference to be generated by the one or more second neural networks.

Abstract: Apparatuses, systems, and techniques are presented to classify objects in images. In at least one embodiment, one or more neural networks are used to identify one or more objects in one or more full images based, at least in part, on the one or more neural networks having been trained using the one or more full images and one or more portions of the one or more full images.

Abstract: Aspects of the present disclosure are directed to a multi-sensor don/doff detection system for an artificial reality device headset. The multi-sensor don/doff detection system can use a combination of a proximity sensor, an inertial measurement unit (IMU), and an eye tracking/face tracking (ET/FT) unit to make these determinations. However, when both the ET/FT system and proximity sensor system are active, they can have system coexistence issues. Thus, only one of these systems can be used simultaneously. The multi-sensor don/doff detection system can more accurately identify don events by using input from the proximity sensor and the IMU. The multi-sensor don/doff detection system can also more accurately identify doff events by using input from the IMU and either A) the proximity sensor when the ET/FT system is disabled or B) the ET/FT system when the ET/FT system is enabled.

Abstract: A vehicle lamp assembly, a vehicle lamp and a corresponding motor vehicle. The vehicle lamp assembly including a support, for supporting a light emitting body. The vehicle lamp assembly further includes a housing provided to overlap with at least a part of the support and a first gap formed between the overlapping portions of the housing and the support. The vehicle lamp assembly additionally includes a first light blocking layer, with the first light blocking layer being provided between the overlapping portions of the housing and the support, and at least partially filling the first gap, so as to prevent light from the light emitting body from emitting outwards through the first gap.

Abstract: Apparatuses, systems, and techniques are presented to predict annotations for objects in images. In at least one embodiment, boundaries of an object within an image can be identified based, at least in part, on a user-generated outline of only a portion of this object or information about a size of this object provided by a user.

Abstract: Apparatuses, systems, and techniques are presented to predict annotations for objects in images. In at least one embodiment, one or more neural networks are used to help generate one or more segmentation boundaries of one or more objects within one or more digital images, wherein the one or more neural networks are to transform one or more representations of one or more portions of the one or more objects into one or more lower-dimensional representations of the one or more portions of the one or more objects.

Abstract: A power tool system includes a tool body for implementing the function of the power tool and a battery pack detachably connectable to the tool body. The battery pack also includes a housing and a cell assembly disposed in the housing and used for storing or releasing electrical energy. The battery pack also includes a battery management module electrically connected to a detection module and the cell assembly and configured to dynamically adjust a charge parameter of the battery pack or a discharge parameter of the battery pack according to the current cycle count of the battery pack.

Abstract: Apparatuses, systems, and techniques to generate one or more images of an object. In at least one embodiment, a technique includes training one or more neural networks to generate one or more images of an object from at least a first image of the object and a second lower-resolution image of the object, where the training includes a comparison of the one or more generated images of the object with the second lower-resolution image of the object.

Abstract: Apparatuses, systems, and techniques to indicate an extent, to which text corresponds to one or more images. In at least one embodiment, an extent to which text corresponds to one or more images is indicated using one or more neural networks and used to train the one or more neural networks.

Abstract: Examples disclosed herein relate to an apparatus and method of forming thin film layers on a substrate. A first piezoelectric material layer is deposited on the substrate in a first chamber. The first piezoelectric material layer is formed on the substrate while the substrate is at a first temperature. A second piezoelectric material layer is deposited on the first piezoelectric material layer after cooling the substrate to a second temperature. The second temperature is lower than the first temperature. The first piezoelectric material layer and the second piezoelectric material layer both comprise a first piezoelectric material.