Abstract: Systems and methods integrate different portions of a design review, such as files from a variety of different sources, into an interaction environment for review and interaction by a number of reviewing parties. The reviewing parties interact through an interface that is different from a native software of the files. An automated design review may be performed to evaluate a common rendering, formed from the files, for one or more conflicts, including interferences or version errors.

Abstract: Configurations for rack connection systems are disclosed. In at least one embodiment, installation locations for one or more cables are determined and one or more indicators corresponding to installation locations are activated.

Abstract: A system includes one or more hardware processors and memory storing instructions that, when executed by the one or more hardware processors, causes the system to access image data depicting an object including generating the image data via a camera of a mobile device of the user where the object is a portion of the user, identify a set of features, assign labels to regions of the image data based on the set of features including providing the set of features identified from each respective region of the regions as input into a model and where the model outputs a label for the respective region and where the labels comprise one or more semantic labels or classifications that correspond with the set of features, and generate a three-dimensional (3D) model of the object based on the labels assigned to the regions of the image data.

Abstract: Any number of distinct dependent dimensions, associated with different object types, can be created and applied to accounting transactions. The distinct dependent dimensions can be used in generating reports, for example to provide insight into particular categories of transactions. Dimensional data can be captured along with transactional data, and subsequently used for categorizing and reporting on transactions. The distinct dependent dimensions can be organized in a hierarchical manner, for improved flexibility and functionality in categorizing and reporting on transactions. In addition, the dependent dimension structure can be used when generating and presenting user interface components, so that they properly restrict dimension data picklist values and prevent inconsistent dimension value selections.

Abstract: A 3D scanning toolkit to perform operations that include: accessing a first data stream at a client device, wherein the first data stream comprises at least image data; applying a bit mask to the first data stream, the bit mask identifying a portion of the image data; accessing a second data stream at the client device, the second data stream comprising depth data associated with the portion of the image data; generating a point cloud based on the depth data, the point cloud comprising a set of data points that define surface features of an object depicted in the first data stream; and causing display of a visualization of the point cloud upon a presentation of the first data stream at the client device.

Abstract: The present disclosure relates to a method of selectively treating vegetation in a field with a treatment apparatus that is configured to move in the field and to treat vegetation in the field. In particular, the method includes determining a location of target vegetation in the field and having the treatment apparatus, such as a sprayer, move to the target vegetation in the field and treat the tart vegetation in the field with a treatment applicator disposed on the treatment apparatus.

Abstract: The present disclosure relates to systems, devices and methods for identifying objects and scenarios that have not been trained or are unidentifiable to vehicle perception sensors or vehicle assistive driving systems. Embodiments are directed to using a trained vehicle data set to identify target objects in vehicle sensor data. In one embodiment, a process is provided that includes running a scene detection operation on vehicle to derive a vector of target object attributes of the vehicle sensor data and generating a vector representation for the scene detection operation and the attributes of the vehicle sensor data. The vector representation compared to a familiarity vector to represent effectiveness of the scene detection operation. In addition, the vector representation can be scored to identify one or more target objects or significant scenarios, including unidentifiable objects and/or driving scenes, scenarios for reporting.

Abstract: Substituted cyclohexyl chemical entities of Formula (I): wherein Ra, G, and Rb have any of the values described herein, and compositions comprising such chemical entities; methods of making them; and their use in a wide range of methods, including metabolic and reaction kinetic studies; detection and imaging techniques; radioactive therapies; modulating and treating disorders mediated by nociceptin activity or dopamine signaling; treating neurological disorders, neurodegenerative diseases, depression, and schizophrenia; enhancing the efficiency of cognitive and motor training; and treating peripheral disorders, including renal, respiratory, gastrointestinal, liver, genitourinary, metabolic, and inflammatory disorders.

Abstract: Disclosed is a composition for applying a clear or translucent emissive coating on an aluminum containing surface. The composition includes, in a dispersion, 50 to 300 g/l of at least one of clear or translucent organic polymeric substances of a binder, and 30 to 300 g/l of sheet silicate pigments having a TE value for the thermal emissivity of at least 0.40, having a particle size distribution of which d50 is in the range of 0.3 to 80 ?m and having been comminuted, disintegrated, exfoliated or any combination of these to thin particles. The composition additionally includes the reaction product of at least one aminefunctionalized organosilane and/or oligomer and/or polymer thereof and at least one fatty acid. The molar ratio of the amino group/s of the at least one amine-functionalized organosilane and/or oligomer and/or polymer thereof and of the at least one fatty acid is 1.2:1 to 1:2.

Abstract: Substituted cyclohexyl chemical entities of Formula (I): wherein Ra, G, and Rb have any of the values described herein, and compositions comprising such chemical entities; methods of making them; and their use in a wide range of methods, including metabolic and reaction kinetic studies; detection and imaging techniques; radioactive therapies; modulating and treating disorders mediated by nociceptin activity or dopamine signaling; treating neurological disorders, neurodegenerative diseases, depression, and schizophrenia; enhancing the efficiency of cognitive and motor training; and treating peripheral disorders, including renal, respiratory, gastrointestinal, liver, genitourinary, metabolic, and inflammatory disorders.

Abstract: Any number of distinct dependent dimensions, associated with different object types, can be created and applied to accounting transactions. The distinct dependent dimensions can be used in generating reports, for example to provide insight into particular categories of transactions. Dimensional data can be captured along with transactional data, and subsequently used for categorizing and reporting on transactions. The distinct dependent dimensions can be organized in a hierarchical manner, for improved flexibility and functionality in categorizing and reporting on transactions. In addition, the dependent dimension structure can be used when generating and presenting user interface components, so that they properly restrict dimension data picklist values and prevent inconsistent dimension value selections.

Abstract: Disclosed is a composition for applying a clear or translucent emissive coating on an aluminum containing surface. The composition includes, in a dispersion, 50 to 300 g/l of at least one of clear or translucent organic polymeric substances of a binder, and 30 to 300 g/l of sheet silicate pigments having a TE value for the thermal emissivity of at least 0.40, having a particle size distribution of which d50 is in the range of 0.3 to 80 ?m and having been comminuted, disintegrated, exfoliated or any combination of these to thin particles. The composition additionally includes the reaction product of at least one aminefunctionalized organosilane and/or oligomer and/or polymer thereof and at least one fatty acid. The molar ratio of the amino group/s of the at least one aminefunctionalized organosilane and/or oligomer and/or polymer thereof and of the at least one fatty acid is 1.2:1 to 1:2.

Abstract: Substituted cyclohexyl chemical entities of Formula (I): wherein Ra, G, and Rb have any of the values described herein, and compositions comprising such chemical entities; methods of making them; and their use in a wide range of methods, including metabolic and reaction kinetic studies; detection and imaging techniques; radioactive therapies; modulating and treating disorders mediated by nociceptin activity or dopamine signaling; treating neurological disorders, neurodegenerative diseases, depression, and schizophrenia; enhancing the efficiency of cognitive and motor training; and treating peripheral disorders, including renal, respiratory, gastrointestinal, liver, genitourinary, metabolic, and inflammatory disorders.

Abstract: The present disclosure relates to systems, devices and methods for identifying objects and scenarios that have not been trained or are unidentifiable to vehicle perception sensors or vehicle assistive driving systems. Embodiments are directed to using a trained vehicle data set to identify target objects in vehicle sensor data. In one embodiment, a process is provided that includes running a scene detection operation on vehicle to derive a vector of target object attributes of the vehicle sensor data and generating a vector representation for the scene detection operation and the attributes of the vehicle sensor data. The vector representation compared to a familiarity vector to represent effectiveness of the scene detection operation. In addition, the vector representation can be scored to identify one or more target objects or significant scenarios, including unidentifiable objects and/or driving scenes, scenarios for reporting.

Abstract: A composition for applying a clear or translucent and colorless or nearly colorless emissive coating on a metallic surface comprising in a dispersion a) 50 to 300 g/L of at least one of clear or translucent organic polymeric substances of a binder, and b) 30 to 300 g/L of sheet silicate pigments having a TE value for the thermal emissivity of at least 0.40, having a particle size distribution of which d50 is in the range of 0.3 to 80 ?m. Processes for applying the composition and elements prepared therefrom are also disclosed.

Abstract: Methods and systems for presentation and control of an augmented virtual vehicle view with surround view imaging, that include generating a stitched image view based on surround view image data for a vehicle and generating a pose estimation for the vehicle, wherein the pose estimation provides a vehicle position and a vehicle orientation relative to the stitched image view. In one or more examples, the methods and systems include augmenting the stitched image view to include one or more graphical elements based on the pose estimation for the vehicle, presenting a graphical display of the stitched image view including the one or more graphical elements and a vehicle avatar. Further, in at least one example, the methods and systems may include detecting position commands for a position of the vehicle avatar within the graphical display and updating the avatar position and iconography in response to the position commands.

Abstract: The present disclosure relates to systems, devices and methods for identifying objects and scenarios that have not been trained or are unidentifiable to vehicle perception sensors or vehicle assistive driving systems. Embodiments are directed to using a trained vehicle data set to identify target objects in vehicle sensor data. In one embodiment, a process is provided that includes running a scene detection operation on vehicle to derive a vector of target object attributes of the vehicle sensor data and generating a vector representation for the scene detection operation and the attributes of the vehicle sensor data. The vector representation compared to a familiarity vector to represent effectiveness of the scene detection operation. In addition, the vector representation can be scored to identify one or more target objects or significant scenarios, including unidentifiable objects and/or driving scenes, scenarios for reporting.

Abstract: A 3D scanning toolkit to perform operations that include: accessing a first data stream at a client device, wherein the first data stream comprises at least image data; applying a bit mask to the first data stream, the bit mask identifying a portion of the image data; accessing a second data stream at the client device, the second data stream comprising depth data associated with the portion of the image data; generating a point cloud based on the depth data, the point cloud comprising a set of data points that define surface features of an object depicted in the first data stream; and causing display of a visualization of the point cloud upon a presentation of the first data stream at the client device.

Abstract: A 3D scanning toolkit to perform operations that include: accessing a first data stream at a client device, wherein the first data stream comprises at least image data; applying a bit mask to the first data stream, the bit mask identifying a portion of the image data; accessing a second data stream at the client device, the second data stream comprising depth data associated with the portion of the image data; generating a point cloud based on the depth data, the point cloud comprising a set of data points that define surface features of an object depicted in the first data stream; and causing display of a visualization of the point cloud upon a presentation of the first data stream at the client device.

Abstract: A 3D scanning toolkit to perform operations that include: accessing a first data stream at a client device, wherein the first data stream comprises at least image data; applying a bit mask to the first data stream, the bit mask identifying a portion of the image data; accessing a second data stream at the client device, the second data stream comprising depth data associated with the portion of the image data; generating a point cloud based on the depth data, the point cloud comprising a set of data points that define surface features of an object depicted in the first data stream; and causing display of a visualization of the point cloud upon a presentation of the first data stream at the client device.