Abstract: A connector for electrically connecting to conductive structures formed on a semiconductor device includes a core including an isolation layer and signal vias and ground vias formed in the isolation layer; a first ground plane formed on a surface of or in the core and electrically connected to the ground vias; a first set of contact elements formed on a first surface of the core and electrically connected to the signal vias to form signal pins; a second set of contact elements formed on the first surface and electrically connected to a subset of the ground vias to form ground pins. The remaining ground vias without contact elements form buried ground vias. The first and second sets of contact elements are arranged on the first surface of the core to surround each signal pin by at least one adjacent ground pin and one or more adjacent buried ground vias.

Abstract: Appliances for intraoral delivery of agents are provided. In some embodiments, an appliance includes a shell having an inner surface and an outer surface, the inner surface defining a plurality of tooth-receiving cavities configured to apply a repositioning force to a patient's teeth, and the outer surface oriented away from the patient's teeth. The appliance can also include a reservoir integrally formed in the outer surface of the shell, the reservoir being configured to store at least one agent. The appliance can further include a membrane covering at least a portion of the reservoir to control release of the agent into an intraoral cavity of the patient. The membrane can include a plurality of pores that are configured to open based at least in part on a temperature of the patient's intraoral cavity to allow the at least one agent to pass therethrough.

Abstract: Disclosed embodiments may include a method for generic aspect-based sentiment analysis. The system may receive training data, which is used to train one or more machine learning models. The system may receive data, which may be transcribed call data. The system may extract one or more aspects from the call data using one machine learning model. For each aspect, the system may determine a sentiment polarity. The system may filter the aspects and sentiment polarities and analyze trends based on the filtered aspects and sentiment polarities. The system may output a result to a dynamic graphical user interface based on the trends. This may allow a user to detect customer attitudes toward a variety of subjects and trends over time without training machine learning models for specific domains.

Abstract: Provided herein are systems and methods for converting CO2 and a reduction gas such as H2 or a hydrocarbon to mixtures of paraffins and aromatics suitable for use as aviation fuel.

Abstract: Methods, systems, and computer program products for translating text using generated visual representations and artificial intelligence are provided herein. A computer-implemented method includes generating a tokenized form of at least a portion of input text in a first language; generating at least one visual representation of at least a portion of the input text using a first set of artificial intelligence techniques; generating a tokenized form of at least a portion of the at least one visual representation; and generating an output including a translated version of the input text into at least a second language by processing, using a second set of artificial intelligence techniques, at least a portion of the tokenized form of the at least a portion of the input text and at least a portion of the tokenized form of the at least a portion of the at least one visual representation.

Abstract: An electro-hydraulic brake assembly comprises a hydraulic control unit (HCU) body having a top surface and a bottom surface opposite the top surface and defining a master cylinder bore and a pressure supply bore. A fluid reservoir is disposed on the top surface. A primary piston is slidably disposed in the master cylinder bore and configured to supply brake fluid to a wheel brake in response to pressing of a brake pedal. A pressure supply unit includes: a pressure supply piston disposed within the pressure supply bore; a motor located on the bottom surface of the HCU body and having a motor shaft. An actuator mechanism includes a threaded shaft configured to be rotated by the motor shaft, and a nut coupled to the pressure supply piston, together causing the pressure supply piston to translate linearly through the pressure supply bore in response to rotation of the motor shaft.

Abstract: Systems and methods for conducting various types of Connection Validation (CV) are provided for reducing the overall CV scan time of regular CV scans. A Reconfigurable Optical Add/Drop Multiplexer (ROADM), according to one implementation includes at least one degree component; at least one add/drop component; a plurality of fibers interconnecting the at least one degree component and/or the at least one add/drop component; and a controller configured to, responsive to any of ongoing operation and connection of one or more fibers of the plurality of fibers, cause a Connection Validation (CV) scan in the ROADM that cycles through the one or more fibers, attain a desired cycle time for the CV scan through one or more techniques, and determine one or more of connectivity and whether fiber loss is within expectations, based on the CV scan.

Abstract: A display system for sensing a finger of a user applied to the display system includes a display panel; a sensor for sensing the finger; a sensing light source configured to emit a first light having a first wavelength W1; and a reflective polarizer disposed between the display panel and the sensor. For a substantially normally incident light, an optical transmittance of the reflective polarizer versus wavelength for a first polarization state has a band edge such that for a first wavelength range extending from a smaller wavelength L1 to a greater wavelength L2 and including W1, where 30 nm?L2?L1?50 nm and L1 is greater than and within about 20 nm of a wavelength L3 corresponding to an optical transmittance of about 50% along the band edge, the optical transmittance has an average of greater than about 75%.

Abstract: Stapling assemblies for use with a surgical stapler are provided. In one exemplary embodiment, the stapling assembly includes a cartridge having a plurality of staples disposed therein and a non-fibrous adjunct formed of at least one fused bioabsorbable polymer and configured to be releasably retained on the cartridge. Adjunct systems for use with a surgical stapler are also provided. Surgical end effectors using the stapling assemblies are also provided. Methods for manufacturing stapling assemblies and using the same are also provided.

Abstract: Implantable medical devices (IMDs), systems, and methods for use therewith are disclosed. One such method is for use by a leadless pacemaker (LP) configured to perform conductive communication with another implantable medical device (IMD). The method includes the LP storing information that specifies when, within a cardiac cycle, the LP and the other IMD implanted in a patient are likely oriented relative to one another such that conductive communication therebetween should be successful. The method also includes the LP sensing a signal indicative of cardiac activity of the patient over a plurality of cardiac cycles, and outputting one or more conductive communication pulses, during a portion of at least one of the cardiac cycles, wherein the portion of the at least one of the cardiac cycles is identified based on the signal that is sensed and the information that is stored.

Abstract: Techniques are described herein that are capable of dynamically re-allocating computing resources while maintaining network connection(s). Applications of users are run in a computing unit. Computing resources are allocated among the applications based at least in part on dynamic demands of the applications for the computing resources and resource limits associated with the respective customers. In a first example, the computing resources are dynamically re-allocated among the applications, as a result of changing the resource limit of at least one customer, while maintaining at least one network connection between a client device of each customer and at least one respective application. In a second example, the computing resources are dynamically re-allocated among the applications, as a result of changing the resource limit of at least one customer, while maintaining at least one network connection between an interface and a client device of each customer.

Abstract: A system and a process for dimerizing cyclopentadiene (CPD) including producing a C6+C7 rich bottoms stream and a C5 rich side draw from a debutanizer, where the C5 rich side draw and at least a portion of the C6+C7 rich bottoms stream are directed to a dimerizer where the CPD is thermally dimerized to dicyclopentadiene (DCPD). DCPD is more stable than CPD and thus safer to handle.

Abstract: It is an object of the present invention to provide an antibody-drug conjugate of an antibody binding to DLL3 and a drug having antitumor activity, a pharmaceutical composition comprising the antibody-drug conjugate and having therapeutic effects on a tumor, a method for treating a tumor using the antibody-drug conjugate or the pharmaceutical composition, and the like. The present invention provides an antibody-drug conjugate of an antibody binding to DLL3 and a drug having antitumor activity, a pharmaceutical composition comprising the antibody or the antibody-drug conjugate, and a method for treating a tumor.

Abstract: The present invention provides a novel anti-DLL3 antibody-pyrrolodiazepine derivative and a novel anti-DLL3 anti-body-pyrrolodiazepine derivative conjugate using the same.

Abstract: An inkjet printing system includes: (a) an inkjet printhead having a rigid elongate manifold with first and second parallel ink supply channels extending along a length of the manifold between respective ink ports positioned at opposite ends thereof; and a plurality of printhead chips mounted to a lower surface of the manifold, the ink supply channels supplying ink to the printhead chips via ink outlets defined in the lower surface. One end of the manifold has a first ink inlet port for the first ink supply channel and an ink outlet port for the second ink supply channel. The other end of the manifold has a first ink outlet port for the first ink supply channel and a second ink inlet port for the second ink supply channel. An ink delivery system is configured to flow ink along the first and second channels in opposite directions.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using embedded function with a deep network. One of the methods includes receiving an input comprising a plurality of features, wherein each of the features is of a different feature type; processing each of the features using a respective embedding function to generate one or more numeric values, wherein each of the embedding functions operates independently of each other embedding function, and wherein each of the embedding functions is used for features of a respective feature type; processing the numeric values using a deep network to generate a first alternative representation of the input, wherein the deep network is a machine learning model composed of a plurality of levels of non-linear operations; and processing the first alternative representation of the input using a logistic regression classifier to predict a label for the input.

Abstract: Compounds having formula (I), and enantiomers, and diastereomers, stereoisomers, pharmaceutically-acceptable salts thereof, are useful as kinase modulators, including RIPK1 modulation. All the variables are as defined herein.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for performing neural architecture search for machine learning models. In one aspect, a method comprises receiving training data for a machine learning, generating a plurality of candidate neural networks for performing the machine learning task, wherein each candidate neural network comprises a plurality of instances of a layer block composed of a plurality of layers, for each candidate neural network, selecting a respective type for each of the plurality of layers from a set of layer types that comprises, training the candidate neural network and evaluating performance scores for the trained candidate neural networks as applied to the machine learning task, and determining a final neural network for performing the machine learning task based at least on the performance scores for the candidate neural networks.