Abstract: A system includes a displacement-type capacitive sensor probe and at least one processor and at least one memory. The at least one memory stores instructions that, when executed by the at least one processor, cause the at least one processor to calibrate the sensor probe to a known dielectric constant of a first material, send an instruction to the sensor probe to measure a capacitive response of a composite article comprising the first material and a second material, receive the measured capacitive response from the calibrated sensor probe, determine, based on the measured capacitive response, an equivalent thickness of the first material in the composite article, and determine a percentage of the first material in the composite article based on the equivalent thickness of the first material and a thickness of the composite article.

Abstract: The present disclosure provides compounds of Formula (I) and Formula (II). The compounds described herein may be useful in treating proliferative diseases (e.g., cancer). Also provided in the present disclosure are pharmaceutical compositions, kits, methods, and uses including or using a compound described herein.

Abstract: Described herein are platforms for use in targeted therapy development for an individual or group of individuals. Targeted therapy development as described herein comprises developing a therapeutic or therapeutic modality that is specific to or customized to an individual or group of individuals.

Abstract: An autonomous vehicle is provided that includes one or more sensors coupled to the autonomous vehicle, and a computing device configured to: (i) receive, from the one or more sensors, operational data related to an operation of the autonomous vehicle, (ii) receive geographical data related to an anticipated route of the autonomous vehicle, (iii) generate, for the anticipated route and based on the operational data and the geographical data, an operational response model representing respective operational constraints for one or more operational parameters of the autonomous vehicle, wherein values for the one or more operational parameters are represented along coordinate axes of a geometrical shape, and wherein the one or more operational parameters are mutually coupled to each other, and (iv) responsively execute, based on the operational response model, an autonomous control strategy comprising one or more adjustments to the operation of the vehicle within the respective operational constraints.

Abstract: Methods and systems for time marking of media items at a platform using machine learning are provided herein. A media item to be provided to users of a platform is identified. The media item includes two or more content segments. An indication of the identified media item is provided as input to a machine learning model. The machine learning model is trained using to predict, for a given media item, content segments of the given media item depicting an event of interest to the one or more users. One or more outputs of the machine learning model are obtained. The one or more obtained outputs include event data identifying each content segment of the media item and an indication of a level of confidence that each respective content segment depicts an event of interest. In response to determining that at least one content segment is associated with a level of confidence that satisfies a level of confidence criterion, the at least one content segment is associated with a bookmark for a timeline of the media item.

Abstract: A method visualizes object models for data sources. The device displays, in an object model visualization region, a first visualization of a tree of data object icons, each data object icon representing a logical combination of one or more tables. The device also displays recommendations for one or more data sources to add objects to the tree. While displaying the first visualization in the object model visualization region, the device detects a first input on a first data object icon of the tree of data object icons. In response to detecting the first input on the first data object icon, the device displays a second visualization of the tree of the data object icons in a first portion of the object model visualization region and displays a third visualization of information related to the first data object icon in a second portion of the object model visualization region.

Abstract: Provided is a ratchet tie down including a main body portion, a reel assembly rotatable relative to the main body portion, a first sprocket surrounding the reel assembly, a second sprocket surrounding the reel assembly, at least one first noise reduction disk, at least one second noise reduction disk, and a release pawl biased in a locked position to land on the noise reduction disks to dampen the sound as the release pawl engages teeth of the sprockets.

Abstract: Methods and apparatus to audio watermarking and watermark detection and extracted are described herein. An example method includes receiving a media content signal, sampling the media content signal to generate samples, storing the samples in a buffer, determining a first sequence of samples in the buffer, determining a second sequence of samples in the buffer, wherein the second sequence of samples is of substantially equal length as the first sequence of samples, calculating an average of the first sequence of samples and the second sequence of samples to generate an average sequence of samples, extracting an identifier from the average sequence of samples, and storing the identifier in a tangible memory.

Abstract: One or more computing devices, systems, and/or methods for evaluating email activity and/or controlling, based upon the email activity, transmission of instructions associated with quality are provided. A first email, transmitted by an email account associated with an entity to a plurality of email accounts, may be identified. First activity associated with the first email may be detected. A first set of activity information associated with the first activity may be stored in an entity profile associated with the entity. The entity profile may comprise a plurality of sets of activity information associated with a plurality of emails transmitted by one or more email accounts associated with the entity. A quality score corresponding to the first entity may be generated based upon the entity profile. A notification may be generated based upon the quality score. The notification may be transmitted to the first client device.

Abstract: A thermal interface material for forming a layer conformable between a first heat transfer surface and an opposing second heat transfer surface to provide a thermal pathway therebetween includes: a matrix material composing 10 wt. % or less of the thermal interface material; a filler dispersed in the matrix material composing at least 80 wt. % of the thermal interface material, the filler including: particles of a first material having a nominal dimension in a range from 1 micron to 100 microns, the first material composing at least 40 wt. % of the thermal interface material; and diamond particles having a nominal dimension of 1,000 nm or less, the diamond particles composing 0.5 wt. % to 5 wt. % of the thermal interface material.

Abstract: Patient specific medical balloons, assemblies, and systems for forming the same, and devices and methods for treating patients in need of a percutaneous coronary intervention (PCI) are disclosed. The assembly for forming the medical balloon comprises a form for receiving a parison where the form is configured to prepare a patient specific medical balloon matched in geometry to a blood vessel or a lesion for a patient in need of a PCI.

Abstract: A computer-implemented method may include causing a customer device to display a user portal; receiving the input customer criteria; determining that a merchant possesses a corresponding item; updating the user portal with a selectable indication of the merchant; facilitating secure information sharing by: generating an access communication unique to the customer and without any customer information; transmitting the communication to a merchant device; and providing a merchant portal with further interactive objects; receiving, a transmission based on the access communication; securely providing the customer information to the merchant device via the merchant portal; receiving merchant criteria entered by the merchant; and automatically: determining a variance between the customer criteria and the merchant criteria; and updating at least one of the merchant or user portal to include at least one of the variance or the merchant criteria.

Abstract: A spray quenching system including a quench box configured to receive a part for quenching. The system may include mechanical arms disposed within the quench box and thermocouples disposed on the mechanical arms that may be moved to contact the part surface. The system may include non-contact temperature sensors within the quench box that measure the temperature part surface, and spray nozzles within the quench box that spray the part with a quenching fluid. The system may include a controller in electronic communication with the mechanical arms, the spray nozzles, the thermocouples, and the non-contact temperature sensors, that is configured to initiate a quenching process, receive temperature data, analyze the temperature data to determine a temperature difference value, determine that the temperature difference value exceeds a threshold temperature difference value, and adjust the quenching process if the temperature difference value exceeds the threshold temperature difference value.

Abstract: Techniques for incorporating sequence encoders into machine-learned models where the sequence encoders operate on bag of words (BOW) input are provided. Tokens that are associated with online activities of an entity are identified. Machine-learned embeddings that correspond to the tokens are identified. Based on one or more ordering criteria that are independent of the temporal occurrence of the online activities of the entity, an order of the machine-learned embeddings is determined. Based on the order, the machine-learned embeddings are inputted to a sequence encoder that generates output. Based on the output, a machine learned model that includes the sequence encoder generates a score. A content item is selected based on the score. The content item is transmitted over a computer network to a computing device.

Abstract: A computer-implemented method includes receiving a sequence of acoustic frames as input to an automatic speech recognition (ASR) model. Here, the ASR model includes a causal encoder and a decoder. The method also includes generating, by the causal encoder, a first higher order feature representation for a corresponding acoustic frame in the sequence of acoustic frames. The method also includes generating, by the decoder, a first probability distribution over possible speech recognition hypotheses. Here, the causal encoder includes a stack of causal encoder layers each including a Recurrent Neural Network (RNN) Attention-Performer module that applies linear attention.

Abstract: A system for opportunistic imaging includes an imaging device that generates data comprising a plurality of sequential image frames. The system also includes a control module that causes the imaging device to generate standard-resolution image frames at a standard-frame rate and a standard-resolution, such that there is a processing time lull between the generation of sequential standard-resolution image frames. The control module also causes the imaging device to generate one or more burst-resolution image frames at a burst-frame rate and a burst-resolution within the processing time lull.

Abstract: A load control system may be provided including control devices and a system controller. The system controller may be configured to broadcast a service set identifier (SSID) and provide a wireless network connection to a network device. The system controller may provide a web page to the network device, wherein the web page may include an indication of target system controllers. The target system controllers may be used for configuring (e.g., associating) the control devices. The system controller may receive an indication of a target system controller selected to associate the control devices. The system controller may determine an address and port number of the target system controller identified by the network device. The system controller may provide, to the network device, the web page from the target system controller while the network device is connected to the system controller via the wireless network connection.

Abstract: A system for prioritizing traffic having a traffic signal controller (TSC), a processor, a database, and one or more detectors configured to detect the presence of a vehicle having a vehicle identifier. The system is configured so that the processor is in communication with the TSC and at least one detector, and the detectors are configured to detect passing vehicles having a vehicle identifier. In a case the vehicle identifier has a record within the database, the processor an approximate travel time of the vehicle identifier between a location of the detector where the vehicle identifier is detected and a traffic signal connected to the TSC, and a command is set to be sent from the processor to the TSC to change the traffic signal connected to the TSC in a direction of travel of the vehicle identifier if one or more conditions are met. The command sent from the processor to the TSC has a delay of between zero seconds and the approximate travel time calculated.

Abstract: Innovations in control and use of chroma quantization parameter (“QP”) values that depend on hum QP values. More generally, the innovations relate to control and use of QP values for a secondary color component that depend on QP values for a primary color component. For example, during encoding, an encoder determines a QP index from a primary component QP and secondary component QP offset. The encoder maps the QP index to a secondary component QP, which has an extended range. The encoder outputs at least part of a bitstream including the encoded content. A corresponding decoder receives at least part of a bitstream including encoded content. During decoding, the decoder determines a QP index from a primary component QP and secondary component QP offset, then maps the QP index to a secondary component QP, which has an extended range.