Abstract: A parking meter may have a housing that is formed at least significantly of an impact resistant material. In particular, the impact resistant material may comprise one of a polycarbonate copolymer or polycarbonate blended resin, a nylon-based copolymer, or a nylon-based polymer that includes long glass fiber or Kevlar fiber. The housing encloses the parking meter components to provide protection for the parking meter components against an external environment and vandalism attacks.

Abstract: Detecting analytes using proximity-induced tagmentation, strand invasion, restriction, or ligation is provided herein. In some examples, detecting an analyte includes coupling a donor recognition probe to a first portion of the analyte. The donor recognition probe includes a first recognition element specific to the first portion of the analyte, a first oligonucleotide corresponding to the first portion, and a transposase coupled to the first recognition element and the first oligonucleotide. An acceptor recognition probe is coupled to a second portion of the analyte. The acceptor recognition probe includes a second recognition element specific to the second portion of the analyte and a second oligonucleotide coupled to the second recognition element and corresponding to the second portion. The transposase is used to generate a reporter polynucleotide including the first and second oligonucleotides. The analyte is detected based on the reporter including comprising the first and second oligonucleotides.

Abstract: The present invention in particular relates to a method of producing an immunogenic composition exhibiting reduced virucidal activity, as well as to the immunogenic composition and uses thereof, wherein the method in particular comprises the steps of: (a) providing a mixture with a first liquid and a recombinant protein, (b) concentrating the recombinant protein in the mixture by removing a portion of the first liquid from the mixture, and (c) processing the solution resulting from step (b) by continuous diafiltration.

Abstract: A method is provided of configuring a field device for monitoring and/or controlling an operation(s) of a process or plant. The method includes conducting web-based communication between a networked computer device and the field device over an Ethernet-APL to allow the networked computer device to access and interact with a web page(s) or program(s) that is hosted on a web server running on the field device. The method also includes configuring at the field device an operation parameter(s) and/or setting(s) of the field device based on user input received across the Ethernet-APL by the field device from user interaction with the web page(s) or program(s) through the networked computer device.

Abstract: Provided for herein is a method of cell transplantation using an injection attachment having a hub containing a plurality of cells and a cannula extending from a distal end of the hub. The method includes orienting the injection attachment such that the cannula points downwardly until the plurality of cells settle together proximate the distal end, inserting the cannula into a tissue of a subject, and injecting the volume of cells into the tissue of the subject using the injection attachment.

Abstract: Systems and methods for rendering spatial audio in accordance with embodiments of the invention are illustrated. One embodiment includes a spatial audio system, including a primary network connected speaker, including a plurality of sets of drivers, where each set of drivers is oriented in a different direction, a processor system, memory containing an audio player application, wherein the audio player application configures the processor system to obtain an audio source stream from an audio source via the network interface, spatially encode the audio source, decode the spatially encoded audio source to obtain driver inputs for the individual drivers in the plurality of sets of drivers, where the driver inputs cause the drivers to generate directional audio.

Abstract: A video monitoring system can include multiple collectors to receive video beacon data from multiple video monitoring interface modules. At least one beacon stream is connected to receive data from multiple collectors. A processing module receives the beacon stream and provides a real-time event stream used for real-time data analysis and a video view stream used for long-term data analysis.

Abstract: Example embodiments relate to a system to generate and cause display of a specially configured graphical user interface to receive and present collections of images. According to certain example embodiments, an image analysis system: receives an image file from a client device; generates a hash value based on the image file; performs a comparison of the hash value with a list that comprises a collection of hash values; identifies a match to the hash value among the collection of hash values; assigns a label to the image file in response to identifying the match among the collection of image files from the list; and indexes the image file at a memory location identified by the label assigned to the image file.

Abstract: The method of manufacturing a magnetic rotor unit comprises providing a composite magnetic rotor body. The composite magnetic rotor body comprises magnetic particles dispersed in a polymer resin. The composite magnetic rotor body has a hole. The method further comprises inserting a shaft into the hole. The outer diameter of the shaft corresponds to the inner diameter of the hole. The method further comprises heating of the shaft. By heating the shaft, the elevated temperature of the shaft surface preferentially induces the polymer resin from an inner surface of the hole to exude or sweat on to the shaft surface, so as to provide a bonding layer between the magnetic rotor body and the shaft. An apparatus for such manufacture, and a magnetic rotor unit manufactured by such method, are also provided. Such rotor units have wide application, and may for example be used in sensors, electromagnetic generators, pulse generators, motors, magnetic brakes and magnetic couplings.

Abstract: A method includes: receiving a script configured to modify the audio-video file; calculating a performance metric based on execution of the script on a set of test files; classifying the script as performant based on the performance metric; defining a metadata store associated with the script and the audio-video file; receiving a playback request specifying a rendition of the audio-video file from a computational device; in response to receiving the playback request: accessing a set of data inputs from the metadata store; executing the script on a frame of the audio-video file based on the set of data inputs to generate a modified frame of the audio-video file; transcoding the modified frame of the audio-video file into the rendition to generate an output frame of the audio-video file; and transmitting the output frame of the audio-video file to the computational device for playback at the computational device.

Abstract: A method includes: receiving a script configured to modify the audio-video file; calculating a performance metric based on execution of the script on a set of test files; classifying the script as performant based on the performance metric; defining a metadata store associated with the script and the audio-video file; receiving a playback request specifying a rendition of the audio-video file from a computational device; in response to receiving the playback request: accessing a set of data inputs from the metadata store; executing the script on a frame of the audio-video file based on the set of data inputs to generate a modified frame of the audio-video file; transcoding the modified frame of the audio-video file into the rendition to generate an output frame of the audio-video file; and transmitting the output frame of the audio-video file to the computational device for playback at the computational device.

Abstract: A surgical clip applier includes a handle assembly, an elongated shaft, a drive shaft, a cam pin, and an end effector. The cam pin is disposed in mechanical cooperation with the drive shaft. The end effector is disposed adjacent a distal end of the elongated shaft and includes a first jaw member and a second jaw member. The end effector is disposed in operative engagement with the drive shaft such that longitudinal translation of the drive shaft relative to the housing of the handle assembly causes the first jaw member to move toward the second jaw member. The first jaw member includes a first cam slot configured to slidingly receive the cam pin. The first cam slot defines a first portion having a first slope and a second portion having second slope.

Abstract: An electronic package and method for manufacturing the same is provided. The method includes providing a frame with die pads, each pad having a semiconductor die that have a first electrical contact on a first side of the die facing and electrically contacting the pad, and a second electrical contact on a second side of the die opposite to the first side, providing a first conductive mechanical support connected to the pad and/or a second conductive mechanical support connected to the second electrical contact, and providing a mold including a first mold portion which the frame is on, and a second mold portion in contact with the frame opposite to the first mold portion, forming a cavity around the dies, the second mold portion contacts at least one of the first conductive mechanical support and the second conductive mechanical support, while applying the molding compound and allowing it to solidify.

Abstract: The AI engine operates with the common API. The common API supports i) any of multiple different training sources and/or prediction sources installed on ii) potentially different sets of customer computing hardware in a plurality of on-premises' environments, where the training sources, prediction sources as well as the set of customer computing hardware may differ amongst the on-premises' environments. The common API via its cooperation with a library of base classes is configured to allow users and third-party developers to interface with the AI-engine modules of the AI engine in an easy and predictable manner through the three or more base classes available from the library. The common API via its cooperation with the library of base classes is configured to be adaptable to the different kinds of training sources, prediction sources, and the different sets of hardware found a particular on-premises environment.

Abstract: An AI engine having an architect module to create a number of nodes and how the nodes are connected in a graph of concept nodes that make up a resulting AI model. The architect module also creates a first concept node by wrapping an external entity of code into a software container with an interface configured to exchange information in a protocol of a software language used by the external entity of code. The architect module also creates a second concept node derived from its description in a scripted file coded in a pedagogical programming language, and connects the second concept node into the graph of nodes in the resulting AI model.

Abstract: A method for automatically detecting the data type of data in a column includes receiving a request to import data into a base and determining the data type of the column by applying a set of inferrers to the column. In response to an inferrer returning true, the method selects the data type corresponding to the inferrer as the data type of the column and casts the data in the column to the selected type. A method for importing, converting, and presenting data based on data loss metrics includes receiving a request to import data into a database and determining data loss metrics for each of a set of data types. A user interface is configured to display some of the data types in conjunction with data loss metrics. The method further includes receiving a selection of one of the data types and casting the data to the selected type.

Abstract: A method of non-destructive detection of surface and near surface abnormalities in a metallic product. The method comprises positioning a sample having a surface under a source of an incident radiation. The surface of the sample is then irradiated with the incident radiation from the source. A scattered radiation is detected and a radiation pattern from the detected scattered radiation is produced. Said radiation pattern is then analysed and the output indicative of the scattered radiation from the sample is produced. Said produced output is then compared with a threshold value, the threshold value indicative of a maximum acceptable detected surface abnormality. Finally, the presence of a surface abnormality is identified when the output exceeds the threshold value.

Abstract: Systems, methods, and other embodiments described herein relate to determining a type and an issue time of a vehicle control command based on an estimated realization delay. In one embodiment, a method includes identifying a first realization delay associated with a first control command and identifying a second realization delay associated with a second control command. The second control command is issued after the first control command is issued. The method includes issuing the first control command at an issue time that is based on the first realization delay and the second realization delay, and realizing the first control command on a vehicle.

Abstract: The AI engine has a first module that chooses from a library of algorithms to use when automatically assembling and building different learning topologies to solve different concepts making up a resulting AI model. The AI engine may integrate both i) one or more dynamic programming training algorithms and ii) one or more policy optimization algorithms, to build the different learning topologies to solve the different concepts contained with an AI model in order to solve a wide variety of problem types. Each concept contained in the AI model can use a most appropriate approach for achieving a mission of that concept. A learning topology representing a first concept can be built by the first module with a first dynamic programming training algorithm, while a learning topology representing a second concept in the same AI model can be built by the first module with a first policy optimization algorithm.