Abstract: An intelligent cleaning device, comprising a device main body, a camera and a fill-in light, wherein the camera is mounted in the device main body and faces an outer side of the device main body; the fill-in light is mounted in the device main body by means of a fill-in light holder and faces the outer side of the device main body; and an irradiation direction of the fill-in light is the same as a photographic direction of the camera, so as to irradiate at least part of an identification region of the camera.

Abstract: Embodiments of the present disclosure provide a line laser module and an autonomous mobile device. The line laser module includes a fixed base, and a camera and a line laser emitter arranged on the fixed base. The line laser emitter is provided at one or more sides of the camera, and configured to emit a laser with a linear projection. The camera is configured to operate in conjunction with the line laser emitter, and to capture an environmental image. An infrared filter is arranged in front of the camera, and configured to allow only infrared light to enter the camera. The autonomous mobile device includes an infrared flashlight. The camera is configured to capture, at different time points, a first environmental image for distance measurement and a second environmental image for object identification.

Abstract: A method may comprise storing a first service provider record associated with a first project located at a first geographic location, receiving a request for project identifiers located within a section of a geographic area, providing a subset of the first set of the one or more project identifiers to be displayed on a second map the first user device, receiving a selected project of the project identifiers, providing a project page indicating categorical identifiers associated with the first project indicating at least some work performed, a link to at least one service professional's profile page, an opinion review and an insight review, receiving a selection of the link to the at least one service professional's profile page, and providing, a profile page of the at least one service professional, the profile page including contact information of the at least one service professional.

Abstract: An apparatus for estimating a condition of a battery includes a mode identifying unit configured to identify a usage mode of the battery during a period of time and its corresponding attenuation curve, according to recorded data on battery usage, stored usage modes of the battery and attenuation curves corresponding to the various usage modes, the attenuation curve representing a change of a fully charged capacity of the battery with battery usage; and a condition estimating unit configured to calculate battery degradation according to the recorded data, the identified usage mode and its corresponding attenuation curve, the degradation representing a quantity of the fully charged capacity of the battery that is reduced over the battery usage. The condition of the battery is estimated so as to rationally judge the residual value of the battery in operation.

Abstract: The presently disclosed technology includes a friction stir welding apparatus comprising a frame, a moving platform and a parallel mechanism composed of three branch mechanisms, wherein a first branch mechanism comprises a first sliding pair, a first revolute pair, a telescopic rod and a first spherical pair connected in sequence. A second branch mechanism and a third branch mechanism both comprise a third sliding pair, a second revolute pair, a third linkage and a second spherical pair connected in sequence. The friction stir welding apparatus has high stiffness, low inertia, high dynamic performance and high accuracy, which can achieve precision welding with high requirements on processing quality and accuracy for jointing annular seams of large-scale rocket fuel storage tank barrels in the aviation field, for example. The presently disclosed technology also includes a corresponding friction stir welding system.

Abstract: Systems and methods are provided for generating task reminders. The method includes identifying, using a processor, a task description by parsing digital text from a message in an application. The method further includes obtaining context information from the parsed digital text indicating an association between the task description and the application. The method additionally includes generating, using the processor, a task reminder based on the obtained context information, the task reminder including digital text indicating the association between the task description and the application.

Abstract: Embodiments of the present application provide an intelligent cleaning device, where the intelligent cleaning device includes a device body, a driving wheel assembly, a control circuit, and a transfer circuit; the driving wheel assembly is mounted to the device body from below, and is configured to make the intelligent cleaning device movable; the control circuit is configured to control operation of the intelligent cleaning device, and the control circuit is arranged in the device body; the driving wheel assembly is electrically connected to the control circuit through the transfer circuit, and the transfer circuit is arranged at the device body.

Abstract: The present invention discloses a method for forming a semiconductor device with a reduced silicon horn structure. After a pad nitride layer is removed from a substrate, a hard mask layer is conformally deposited over the substrate. The hard mask layer is then etched and trimmed to completely remove a portion of the hard mask layer from an active area and a portion of the hard mask layer from an oblique sidewall of a protruding portion of a trench isolation region around the active area. The active area is then etched to form a recessed region. A gate dielectric layer is formed in the recessed region and a gate electrode layer is formed on the gate dielectric layer.

Abstract: Embodiments of the present application disclose a universal wheel assembly and a smart cleaning device having the same. The universal wheel assembly includes a rotating shaft support and a universal wheel support. The rotating shaft support is configured to be fixed to a predetermined mounting position. The universal wheel support is connected to the rotating shaft support and is rotatable relative to the rotating shaft support. The universal wheel support is provided with a through hole, and the through hole is used for a mounting tool to pass through to fix the rotating shaft support to the predetermined mounting position.

Abstract: A method may comprise storing a first service provider record associated with a first project located at a first geographic location, receiving a request for project identifiers located within a section of a geographic area, providing a subset of the first set of the one or more project identifiers to be displayed on a second map the first user device, receiving a selected project of the project identifiers, providing a project page indicating categorical identifiers associated with the first project indicating at least some work performed, a link to at least one service professional's profile page, an opinion review and an insight review, receiving a selection of the link to the at least one service professional's profile page, and providing, a profile page of the at least one service professional, the profile page including contact information of the at least one service professional.

Abstract: Feature-based prediction is described. In an example, a vehicle can capture sensor data while traversing an environment and can provide the sensor data to computing system(s). The sensor data can indicate event(s), such as a lane change, associated with agent(s) in the environment. The computing system(s) can determine, based on the sensor data, a time associated with the event and can determine features associated with a period of time relative to the time of the event. In an example, the computing system(s) can aggregate the features with additional features associated with other similar events to generate training data and can train, based at least in part on the training data, a machine learned model for predicting new events. In an example, the machine learned model can be transmitted to vehicle(s), which can be configured to alter drive operation(s) based, at least partly, on output(s) of the machine learned model.

Abstract: The presently disclosed technology includes a friction stir welding apparatus comprising a frame, a moving platform and a parallel mechanism composed of three branch mechanisms, wherein a first branch mechanism comprises a first sliding pair, a first revolute pair, a telescopic rod and a first spherical pair connected in sequence. A second branch mechanism and a third branch mechanism both comprise a third sliding pair, a second revolute pair, a third linkage and a second spherical pair connected in sequence. The friction stir welding apparatus has high stiffness, low inertia, high dynamic performance and high accuracy, which can achieve precision welding with high requirements on processing quality and accuracy for jointing annular seams of large-scale rocket fuel storage tank barrels in the aviation field, for example. The presently disclosed technology also includes a corresponding friction stir welding system.

Abstract: An apparatus for estimating a condition of a battery includes a mode identifying unit configured to identify a usage mode of the battery during a period of time and its corresponding attenuation curve, according to recorded data on battery usage, stored usage modes of the battery and attenuation curves corresponding to the various usage modes, the attenuation curve representing a change of a fully charged capacity of the battery with battery usage; and a condition estimating unit configured to calculate battery degradation according to the recorded data, the identified usage mode and its corresponding attenuation curve, the degradation representing a quantity of the fully charged capacity of the battery that is reduced over the battery usage. The condition of the battery is estimated so as to rationally judge the residual value of the battery in operation.

Abstract: A method for fabricating semiconductor device includes the steps of: forming a fin-shaped structure on a substrate; forming a gate dielectric layer on the fin-shaped structure; forming a gate electrode on the fin-shaped structure; performing a nitridation process to implant ions into the gate dielectric layer adjacent to two sides of the gate electrode; and forming an epitaxial layer adjacent to two sides of the gate electrode.

Abstract: An optochemical detector and a method for fabricating an optochemical detector includes a light generation unit arranged to emit a light signal; a probe cell unit arranged to alter at least one physical characteristic of the light signal in response to an interaction with a target substance; and a light detection unit arranged to receive the light signal altered by the probe cell unit; wherein a detection of the target substance is characterized by a change in the at least one physical characteristic altered by the probe cell unit.

Abstract: Methods for treating neuropathic pain caused by a traumatic spinal cord injury are described. A method comprising administering an effective amount of flubendazole, an ?-tubulin acetylation inhibitor, an endosomal NR1 and pERK1/2 inhibitor, a mitochondrial cyclin b1 inhibitor, a microtubule destabilizing drug, or combinations thereof to the patient suffering from the traumatic spinal cord injury. Also described is a method for preventing neuropathic pain in a patient with a spinal cord injury at risk for developing neuropathic pain comprising administering administrating an effective amount of flubendazole to a patient with the spinal cord injury at risk of developing neuropathic pain.

Abstract: Feature-based prediction is described. In an example, a vehicle can capture sensor data while traversing an environment and can provide the sensor data to computing system(s). The sensor data can indicate event(s), such as a lane change, associated with agent(s) in the environment. The computing system(s) can determine, based on the sensor data, a time associated with the event and can determine features associated with a period of time relative to the time of the event. In an example, the computing system(s) can aggregate the features with additional features associated with other similar events to generate training data and can train, based at least in part on the training data, a machine learned model for predicting new events. In an example, the machine learned model can be transmitted to vehicle(s), which can be configured to alter drive operation(s) based, at least partly, on output(s) of the machine learned model.