Abstract: In an embodiment, a method of forming a semiconductor device includes forming a fin protruding above a substrate; forming a gate structure over the fin; forming a recess in the fin and adjacent to the gate structure; performing a wet etch process to clean the recess; treating the recess with a plasma process; and performing a dry etch process to clean the recess after the plasma process and the wet etch process.

Abstract: Described herein are ophthalmic lenses with double-sided aspherical optics containing phase¬ring structures, such as extended depth of focus (EDOF) ophthalmic lenses and multifocal lenses. Refraction of light passing through one or more regions of the phase-ring structures described herein can cause constructive interference, thereby individually or as a set producing an extended depth of focus and improved distance focus, intermediate focus, and near focus. The ophthalmic lenses described herein may provide improved vision acuity and enhanced contrast and reduce or remove visual effects such as dysphotopsia (e.g., halos and glare).

Abstract: In an embodiment, a device includes a substrate, a first semiconductor layer that extends from the substrate, and a second semiconductor layer on the first semiconductor layer. The first semiconductor layer includes silicon and the second semiconductor layer includes silicon germanium, with edge portions of the second semiconductor layer having a first germanium concentration, a center portion of the second semiconductor layer having a second germanium concentration, and the second germanium concentration being less than the first germanium concentration. The device also includes a gate stack on the second semiconductor layer, lightly doped source/drain regions in the second semiconductor layer, and source and drain regions extending into the lightly doped source/drain regions.

Abstract: Systems, apparatus, and methods are described for robotic learning and execution of skills. A robotic apparatus can include a memory, a processor, sensors, and one or more movable components (e.g., a manipulating element and/or a transport element). The processor can be operatively coupled to the memory, the movable elements, and the sensors, and configured to obtain information of an environment, including one or more objects located within the environment. In some embodiments, the processor can be configured to learn skills through demonstration, exploration, user inputs, etc. In some embodiments, the processor can be configured to execute skills and/or arbitrate between different behaviors and/or actions. In some embodiments, the processor can be configured to execute skills and/or behaviors using cached trajectories or plans. In some embodiments, the processor can be configured to execute skills requiring navigation and manipulation behaviors.

Abstract: A device includes a substrate, a first conductive layer on the substrate, a first conductive via, and further conductive layers and conductive vias between the first conductive via and the substrate. The first conductive via is between the substrate and the first conductive layer, and is electrically connected to the first conductive layer. The first conductive via extends through at least two dielectric layers, and has thickness greater than about 8 kilo-Angstroms. An inductor having high quality factor is formed in the first conductive layer and also includes the first conductive via.

Abstract: Systems, apparatus, and methods are described for robotic learning and execution of skills. A robotic apparatus can include a memory, a processor, sensors, and one or more movable components (e.g., a manipulating element and/or a transport element). The processor can be operatively coupled to the memory, the movable elements, and the sensors, and configured to obtain information of an environment, including one or more objects located within the environment. In some embodiments, the processor can be configured to learn skills through demonstration, exploration, user inputs, etc. In some embodiments, the processor can be configured to execute skills and/or arbitrate between different behaviors and/or actions. In some embodiments, the processor can be configured to learn an environmental constraint. In some embodiments, the processor can be configured to learn using a general model of a skill.

Abstract: The present invention provides a termination electrode composite, comprising a ceramic material, a metal material, a resin and an organic solvent, wherein based on the total amount of the termination electrode composite, the ceramic material is in an amount of 4 weight percent to 12 weight percent, and the metal material is in an amount of 63 weight percent to 71 weight percent. The termination electrode composite of the present invention warrants the multilayer ceramic electronic component using the same have good densification of the termination electrodes and the advantages of simplifying the manufacturing process and being cost-effective. The present invention further provides a multilayer ceramic electronic component with good connection between the internal electrodes and the termination electrodes, and a manufacturing method thereof, which comprises a co-sintering step resulting in the advantages of simplifying the manufacturing process and being cost-effective.

Abstract: Aspects described herein may allow keystroke logs to be monitored. A computing device may receive a plurality of keystroke logs and provide, to a machine learning model, the plurality of keystroke logs. The computing device may receive, as output from the machine learning model, a value representing a likelihood that a first keystroke log comprises a first command to change a computing system. The computing device may retrieve, from a database, one or more change orders, each indicating an authorization to change the computing system. The computing device may send, to a second computing device and based on determining that the first command does not match the one or more change orders, an alert indicating the first keystroke log. In this way, unauthorized change to the computing system may be detected.

Abstract: The present invention provides a ceramic composition, comprising a primary mixture and a secondary mixture, wherein the primary mixture comprises a first primary ingredient powder and a second primary ingredient powder, and the first primary ingredient powder comprises BaTiO3, the second primary ingredient powder comprises any of SrTiO3, Ba0.95Ca0.05TiO3, BaZr0.1Ti0.9O3 or a combination thereof, and the secondary mixture comprises a rare earth oxide, a silicon oxide and an alkaline-earth metal oxide. The present invention further provides a ceramic sintered body obtained by sintering the ceramic composition, and a capacitor comprising the ceramic sintered body and a method for manufacturing the same; wherein the capacitor satisfies EIA-X8R specification, and has a high dielectric constant.

Abstract: A device includes a substrate, a first conductive layer on the substrate, a first conductive via, and further conductive layers and conductive vias between the first conductive via and the substrate. The first conductive via is between the substrate and the first conductive layer, and is electrically connected to the first conductive layer. The first conductive via extends through at least two dielectric layers, and has thickness greater than about 8 kilo-Angstroms. An inductor having high quality factor is formed in the first conductive layer and also includes the first conductive via.

Abstract: Systems, apparatus, and methods are described for robotic learning and execution of skills. A robotic apparatus can include a memory, a processor, sensors, and one or more movable components (e.g., a manipulating element and/or a transport element). The processor can be operatively coupled to the memory, the movable elements, and the sensors, and configured to obtain information of an environment, including one or more objects located within the environment. In some embodiments, the processor can be configured to learn skills through demonstration, exploration, user inputs, etc. In some embodiments, the processor can be configured to execute skills and/or arbitrate between different behaviors and/or actions. In some embodiments, the processor can be configured to learn an environmental constraint. In some embodiments, the processor can be configured to learn using a general model of a skill.

Abstract: A double-sided aspheric diffractive multifocal lens and methods of manufacturing and design of such lenses in the field of ophthalmology. The lens can include an optic comprising an aspheric anterior surface and an aspheric posterior surface. On one of the two surfaces a plurality of concentric diffractive multifocal zones can be designed. The other surface can include a toric component. The double-sided aspheric surface design results in improvement of the modulation transfer function (MTF) of the lens-eye combination by aberration reduction and vision contrast enhancement as compared to one-sided aspheric lens. The surface having a plurality of concentric diffractive multifocal zones produces a near focus, an intermediate focus, and a distance focus.

Abstract: A method for promoting growth of a probiotic microorganism includes cultivating the probiotic microorganism in a growth medium containing a fermented culture of lactic acid bacterial strains that include Lactobacillus salivarius subsp. salicinius AP-32 deposited at the China Center for Type Culture Collection (CCTCC) under CCTCC M 2011127, Lactobacillus plantarum LPL28 deposited at the China General Microbiological Culture Collection Center (CGMCC) under CGMCC 17954, Lactobacillus acidophilus TYCA06 deposited at the CGMCC under CGMCC 15210, and Bifidobacterium longum subsp. infantis BLI-02 deposited at the CGMCC under CGMCC 15212.

Abstract: Systems, apparatus, and methods are described for robotic learning and execution of skills. A robotic apparatus can include a memory, a processor, sensors, and one or more movable components (e.g., a manipulating element and/or a transport element). The processor can be operatively coupled to the memory, the movable elements, and the sensors, and configured to obtain information of an environment, including one or more objects located within the environment. In some embodiments, the processor can be configured to learn skills through demonstration, exploration, user inputs, etc. In some embodiments, the processor can be configured to execute skills and/or arbitrate between different behaviors and/or actions. In some embodiments, the processor can be configured to execute skills and/or behaviors using cached trajectories or plans. In some embodiments, the processor can be configured to execute skills requiring navigation and manipulation behaviors.

Abstract: A double-sided aspheric diffractive multifocal lens and methods of manufacturing and design of such lenses in the field of ophthalmology. The lens can include an optic comprising an aspheric anterior surface and an aspheric posterior surface. On one of the two surfaces a plurality of concentric diffractive multifocal zones can be designed. The other surface can include a toric component. The double-sided aspheric surface design results in improvement of the modulation transfer function (MTF) of the lens-eye combination by aberration reduction and vision contrast enhancement as compared to one-sided aspheric lens. The surface having a plurality of concentric diffractive multifocal zones produces a near focus, an intermediate focus, and a distance focus.

Abstract: Systems, apparatus, and methods are described for robotic learning and execution of skills. A robotic apparatus can include a memory, a processor, sensors, and one or more movable components (e.g., a manipulating element and/or a transport element). The processor can be operatively coupled to the memory, the movable elements, and the sensors, and configured to obtain information of an environment, including one or more objects located within the environment. In some embodiments, the processor can be configured to learn skills through demonstration, exploration, user inputs, etc. In some embodiments, the processor can be configured to execute skills and/or arbitrate between different behaviors and/or actions. In some embodiments, the processor can be configured to execute skills and/or behaviors using cached trajectories or plans. In some embodiments, the processor can be configured to execute skills requiring navigation and manipulation behaviors.

Abstract: The present invention provides a ceramic composition, comprising a primary mixture and a secondary mixture, wherein the primary mixture comprises a first primary ingredient powder and a second primary ingredient powder, and the first primary ingredient powder comprises BaTiO3, the second primary ingredient powder comprises any of SrTiO3, Ba0.95Ca0.05TiO3, BaZr0.1Ti0.9O3 or a combination thereof, and the secondary mixture comprises a rare earth oxide, a silicon oxide and an alkaline-earth metal oxide. The present invention further provides a ceramic sintered body obtained by sintering the ceramic composition, and a capacitor comprising the ceramic sintered body and a method for manufacturing the same; wherein the capacitor satisfies EIA-X8R specification, and has a high dielectric constant.

Abstract: Systems, apparatus, and methods are described for robotic learning and execution of skills. A robotic apparatus can include a memory, a processor, sensors, and one or more movable components (e.g., a manipulating element and/or a transport element). The processor is operatively coupled to the memory, the movable elements, and the sensors, and configured to obtain information of an environment, including one or more objects located within the environment. In some embodiments, the processor is configured to learn skills through demonstration, exploration, user inputs, etc. In some embodiments, the processor is configured to execute skills and/or arbitrate between different behaviors and/or actions. In some embodiments, the processor is configured to learn an environmental constraint. In some embodiments, the processor is configured to learn using a general model of a skill.

Abstract: Systems, apparatus, and methods are described for robotic learning and execution of skills. A robotic apparatus can include a memory, a processor, sensors, and one or more movable components (e.g., a manipulating element and/or a transport element). The processor can be operatively coupled to the memory, the movable elements, and the sensors, and configured to obtain information of an environment, including one or more objects located within the environment. In some embodiments, the processor can be configured to learn skills through demonstration, exploration, user inputs, etc. In some embodiments, the processor can be configured to execute skills and/or arbitrate between different behaviors and/or actions. In some embodiments, the processor can be configured to execute skills and/or behaviors using cached trajectories or plans. In some embodiments, the processor can be configured to execute skills requiring navigation and manipulation behaviors.

Abstract: A head-mounted eye tracking system including an optical combiner, an eye tracker and a signal processor is provided. The optical combiner includes an optical coupler. The eye tracker is at least partially disposed on the optical combiner and is suitable for sensing an eyeball movement of a wearer. The eye tracker includes a plurality of light-emitting devices and a plurality of sensing devices. The plurality of light-emitting devices are suitable for emitting tracking beams. The plurality of sensing devices are suitable for receiving the tracking beams reflected by the eyeball of the wearer. The signal processor is signally connected to the eye tracker.