Abstract: Methods for quantitatively separating x-ray images of a subject having three or more component materials into component images using spectral imaging or multiple-energy imaging with 2D radiographic hardware implemented with scatter removal methods. The multiple-energy system may be extended by implementing DRC multiple energy decomposition and K-edge subtraction imaging methods.

Abstract: An integrated gesture sensor module includes an optical sensor die, an application-specific integrated circuit (ASIC) die, and an optical emitter die disposed in a single package. The optical sensor die and ASIC die can be disposed in a first cavity of the package, and the optical emitter die can be disposed in a second cavity of the package. The second cavity can be conical or step-shaped so that the opening defining the cavity increases with distance from the upper surface of the optical emitter die. The upper surface of the optical emitter die may be higher than the upper surface of the optical sensor die. An optical barrier positioned between the first and second cavities can include a portion of a pre-molded, laminate, or ceramic package, molding compound, and/or metallized vias.

Abstract: Optically isolated micromachined (MEMS) switches and related methods are described. The optically isolated MEMS switches described herein may be used to provide isolation between electronic devices. For example, the optically isolated MEMS switches of the types described herein can enable the use of separate grounds between the receiving electronic device and the control circuitry. Isolation of high-voltage signals and high-voltage power supplies can be achieved by using an optical isolator and a MEMS switch, where the optical isolator controls the state of the MEMS switch. In some embodiments, utilizing optical isolators to provide high voltages, the need for electric high-voltage sources such as high-voltage power supplies and charge pumps may be removed, thus removing the cause of potential damage to the receiving electronic device. In one example, the optical isolator and the MEMS switch may be co-packaged on the same substrate.

Abstract: In one aspect, the invention relates to substituted urea depsipeptide analogs, derivatives thereof, and related compounds, which are useful as activators the ClpP endopeptidease; synthesis methods for making the compounds; pharmaceutical compositions comprising the compounds; and methods of treating infectious disease using the compounds and compositions. This abstract is intended as a scanning tool for purposes of searching in the particular art and is not intended to be limiting of the present invention.

Abstract: A photosensitive sensor and a method of manufacturing the photosensitive sensor are disclosed. The photosensitive sensor includes a thin film transistor and a photosensitive element on a substrate, wherein the photosensitive element includes a first electrode, a second electrode, and a photosensitive layer between the first electrode and the second electrode. The second electrode is connected to a drain electrode of the thin film transistor. An orthographic projection of an active layer of the thin film transistor on the substrate is within an orthographic projection of the second electrode on the substrate. The second electrode includes at least two stacked conductive layers, at least one of the at least two stacked conductive layers being a light shielding metal layer.

Abstract: The present disclosure relates to a method and an apparatus for treating, sorting and recycling an oil-containing discharged catalyst. There is provided a method for treating, sorting and recycling an oil-containing discharged catalyst, wherein the method comprises the following steps: (A) cyclonic washing and on-line activation of a discharged catalyst; (B) cyclonic spinning solvent stripping of the catalyst; (C) gas stream acceleration sorting of a high activity catalyst; (D) cyclonic restriping and particle capture of the high activity catalyst; and (E) cooling of the gas and condensation removal of the solvent. There is further provided an apparatus for treating, sorting and recycling an oil-containing discharged catalyst.

Abstract: A code completion system predicts candidates to complete a method invocation in a source code program written in a dynamically-typed programming language. A pseudo type is generated for each variable in the source code program to approximate the runtime type of the variable. The pseudo type is then used to group a set of method invocations into a classification that can be modeled by an n-order Markov chain model. The n-order Markov chain model is used to predict candidate methods more likely to complete a method invocation in a dynamically-typed programming language.

Abstract: In one aspect, the invention relates to substituted urea depsipeptide analogs, derivatives thereof, and related compounds, which are useful as activators the ClpP endopeptidease; synthesis methods for making the compounds; pharmaceutical compositions comprising the compounds; and methods of treating infectious disease using the compounds and compositions. This abstract is intended as a scanning tool for purposes of searching in the particular art and is not intended to be limiting of the present invention.

Abstract: A code completion tool uses a deep learning model to predict the likelihood of a method completing a method invocation. In one aspect, the deep learning model is a LSTM trained on features that represent the syntactic context of a method invocation derived from an abstract tree representation of the code fragment.

Abstract: The disclosure relates to a display device including: an organic light-emitting diode display panel, a fingerprint recognition layer located below the organic light-emitting diode display panel, and a light filtering layer located between the organic light-emitting diode display panel and the fingerprint recognition layer, where the light filtering layer is configured to filter out light rays with an incidence angle greater than a filter angle among light rays carrying fingerprint line information, and to transmit light rays with an incidence angle smaller than or equal to the filter angle, where the incidence angle is the angle between the light rays carrying fingerprint line information, and the direction perpendicular to the fingerprint recognition layer.

Abstract: A lighting system controller for a lighting system having lighting units and sensors which together form a communications network. A new sensor may be added to the network as a new network node. In response to this, a high sensitivity mode is implemented, for assisting the user in testing the new sensor function.

Abstract: In one aspect, the invention relates to substituted urea depsipeptide analogs, derivatives thereof, and related compounds, which are useful as activators the C1pP endopeptidease; synthesis methods for making the compounds; pharmaceutical compositions comprising the compounds; and methods of treating infectious disease using the compounds and compositions. This abstract is intended as a scanning tool for purposes of searching in the particular art and is not intended to be limiting of the present invention.

Abstract: A code completion tool uses machine learning models to more precisely predict the likelihood of the parameters of a method invocation. A score is computed for each candidate variable that is used to rank the viability of a variable as the intended parameter. The score is a weighted sum of a scope factor, an edit distance factor and a declaration proximity factor. The factors are based on a scope model, a method overload model, and a weight file trained offline on a training set of source code programs utilizing various method invocations.

Abstract: A code completion tool uses machine learning models to more precisely predict the likelihood of a method invocation completing a code fragment that follows one or more method invocations of a same class in a same document during program development. In one aspect, the machine learning model is a n-order Markov chain model that is trained on features that represent characteristics of the context of method invocations of a class in commonly-used programs from a sampled population.

Abstract: A vehicle underbody includes a battery pack surrounded by an enclosure, and a bracket. The bracket has first and second flanges disposed in a parallel arrangement, and includes a plate having a wall configured to, in response to an impact, rupture at a trigger to allow the enclosure to move away from an impact direction and deform the first flange. The wall is disposed at angle relative to the flanges, and defined such that impact energy is absorbed by the wall and first flange. The first flange, during an impact, moves toward the second flange, which maintains attachment to the vehicle underbody to absorb energy.

Abstract: A code completion tool uses machine learning models generated for custom or proprietary classes associated with a custom library of classes of a programming language and for overlapping classes associated with a standard library of classes for the programming language. The machine learning models are trained with features from usage patterns of the custom classes and overlapping classes found in two different sources of training data. An n-order Markov chain model is trained for each custom class and each overlapping class from the usage patterns to generate probabilities to predict a method invocation more likely to follow a sequence of method invocations for a custom class and for an overlapping class.