Abstract: Indirect bonding tray systems are disclosed where the tray may generally comprise one or more individual modules each defining a receiving channel and configured for placement upon a dentition of a subject. A removal tab having a length may extend transversely relative to the individual module and a pivoting portion may be located away from the removal tab such that the removal tab is rotatable about the pivoting portion.

Abstract: According to an aspect, an overvoltage protection circuit includes a bias current generator configured to generate a bias current, and a current comparator configured to receive the bias current and a voltage associated with a data terminal of a connector. The current comparator includes a transistor. The transistor is configured to activate based on a level of the voltage associated with the data terminal. The current comparator is configured to compare a current of the transistor with the bias current. The overvoltage protection circuit includes an output circuit configured to generate an overvoltage protection signal in response to the current of the transistor being greater than the bias current.

Abstract: In a general aspect, a circuit can include a reference current generator configured to generate a first current signal representative of a threshold voltage. The circuit can also include a current comparator configured to mirror the first current signal, generate a second current signal representative of a received voltage and compare the second current signal to the first current signal. The current comparator can also be configured to provide a detection signal at a first logic value to indicate that the received voltage is below the threshold voltage when the comparison of the second current signal with the first current signal indicates that the received voltage is less than the threshold voltage.

Abstract: Apparatus, systems, devices, other articles of manufacture and associated methods are disclosed and described herein to process medical data to generate a classification of the medical data using artificial intelligence. An example apparatus includes a processor to execute instructions to implement a history of past illness (HPI) receiver to receive an HPI formatted as a string, the string including one or more words, the words organized in sentences, a natural language processor to tokenize the one or more words into tokens based on a context associated with at least one of the one or more words and a tensor generator to convert the tokens into hashes, each of the hashes forming a dimension of a tensor based on the context. The apparatus further includes a neural network to embed each of the hashes into vectors, process the vectors to classify the HPI as extended or brief based on a similarity to a set of classified HPIs and output a classification for the HPI.

Abstract: A memory device comprises a memory array including memory cells, a temperature sensing circuit, and a memory control unit operatively coupled to the memory array. The memory control unit includes a processor. The processor is configured to receive temperature information from the temperature sensing circuit, initiate programming of the memory cells with data using a first threshold voltage distribution when the temperature information indicates an operating temperature is in a first temperature range, and initiate programming of the memory cells with data using a second threshold voltage distribution when the temperature information indicates the operating temperature is in a second temperature range.

Abstract: Disclosed herein are systems and methods for collapsing sequencing reads and identifying similar sequencing reads. In one example, a method includes generating a plurality of first identifier subsequences from a first identifier sequence of each nucleotide sequencing read and generating a first signature for the nucleotide sequencing read by applying hashing to the plurality of first identifier subsequences. The method may include assigning the nucleotide sequencing read to a first particular bin of a first data structure based on the first signature and determining a nucleotide sequence for each first particular bin of the first data structure with one or more nucleotide sequencing reads assigned.

Abstract: In one general aspect, a level-shifting circuit includes a first supply terminal configured to receive a first supply voltage, a second supply terminal configured to receive a second supply voltage different from the first supply voltage, an input terminal of the level-shifting circuit configured to receive a voltage having a first voltage level, and an output terminal of the level-shifting circuit. The level-shifting circuit can be configured shift the voltage based on the second supply voltage level to a second voltage level different from the first voltage level. The level-shifting circuit can include a shifting circuit having electrical connections to the input terminal and the output terminal and configured to, in response to a first voltage at a first node, produce a second voltage at a second node.

Abstract: According to an aspect, an overvoltage protection circuit includes a bias current generator configured to generate a bias current, and a current comparator configured to receive the bias current and a voltage associated with a data terminal of a connector. The current comparator includes a transistor. The transistor is configured to activate based on a level of the voltage associated with the data terminal. The current comparator is configured to compare a current of the transistor with the bias current. The overvoltage protection circuit includes an output circuit configured to generate an overvoltage protection signal in response to the current of the transistor being greater than the bias current.

Abstract: Apparatus, systems, devices, other articles of manufacture and associated methods are disclosed and described herein to process medical data to generate a classification of the medical data using artificial intelligence. An example apparatus includes a processor to execute instructions to implement a history of past illness (HPI) receiver to receive an HPI formatted as a string, the string including one or more words, the words organized in sentences, a natural language processor to tokenize the one or more words into tokens based on a context associated with at least one of the one or more words and a tensor generator to convert the tokens into hashes, each of the hashes forming a dimension of a tensor based on the context. The apparatus further includes a neural network to embed each of the hashes into vectors, process the vectors to classify the HPI as extended or brief based on a similarity to a set of classified HPIs and output a classification for the HPI.

Abstract: Apparatus, systems, devices, other articles of manufacture and associated methods are disclosed and described herein to process medical data to generate a classification of the medical data using artificial intelligence. An example apparatus includes a preprocessor to tokenize the string into tokens based on a context associated with at least one section of the string and convert the tokens into hashes, each of the hashes forming a dimension of a tensor based on the context. The example apparatus further includes a recurrent neural network including an embedding layer to embed the hashes into dense vectors, a long short-term memory (LSTM) layer to convert the dense vectors into an activated output vector and a fully connected layer to linearize the activated output vector into a binary output and memory to store at least one of the string, the tensor or the binary output.

Abstract: A level-shifting circuit includes a first supply terminal configured to receive a first supply voltage, a second supply terminal configured to receive a second supply voltage different from the first supply voltage, an input terminal of the level-shifting circuit configured to receive a voltage having a first voltage level, and an output terminal of the level-shifting circuit. The level-shifting circuit can include a shifting circuit having electrical connections to the input terminal and the output terminal and configured to, in response to a first voltage at a first node, produce a second voltage at a second node. The level-shifting circuit can also include a feedback circuit and a clamping circuit configured to limit leakage current.

Abstract: In a general aspect, a circuit can include a reference current generator configured to generate a first current signal representative of a threshold voltage. The circuit can also include a current comparator configured to mirror the first current signal, generate a second current signal representative of a received voltage and compare the second current signal to the first current signal. The current comparator can also be configured to provide a detection signal at a first logic value to indicate that the received voltage is below the threshold voltage when the comparison of the second current signal with the first current signal indicates that the received voltage is less than the threshold voltage.

Abstract: Techniques are described that provide for determining health of a system and its components and may include: receiving a hierarchical structure including a plurality of levels of nodes representing the system and components of the system; performing first processing that calculates an overall score denoting health of the system, wherein the overall score is determined in accordance with a plurality of other scores for the components in the system, the plurality of other scores being associated with nodes of the hierarchical structure; and displaying, in a user interface, the overall score.

Abstract: A level-shifting circuit includes a first supply terminal configured to receive a first supply voltage, a second supply terminal configured to receive a second supply voltage different from the first supply voltage, an input terminal of the level-shifting circuit configured to receive a voltage having a first voltage level, and an output terminal of the level-shifting circuit. The level-shifting circuit can include a shifting circuit having electrical connections to the input terminal and the output terminal and configured to, in response to a first voltage at a first node, produce a second voltage at a second node. The level-shifting circuit can also include a feedback circuit and a clamping circuit configured to limit leakage current.

Abstract: One variation of a method for serving a video advertisement to a computing device includes: segmenting a digital video into a first video segment and a second video segment; at a visual element loaded into a document, loading the first video segment; in response to a scroll event that shifts the visual element into view within a window rendered on a display of the computing device, playing back the first video segment within the visual element; during playback of the first video segment, loading the second video segment from a remote server; in response to completion of playback of the first video segment, playing back the second video segment within the visual element; and calculating a level of user engagement a total duration of the digital video played back in the visual element.

Abstract: Examples are generally directed towards converting complex structure attributes into flattened data. A configuration capture component analyzes a set of objects associated with a set of complex structure attributes. A complex structure attribute is an attribute of an object that is an array attribute or a nested object attribute. The configuration capture component performs a hash type conversion to convert nested object attributes into flattened data. The configuration capture component performs an array type conversion to convert nested array attributes into flattened data. The flattened data is stored or imported in a set of flattened data files. An expansion component converts the flattened data files back into the complex structure attributes without losing or corrupting the complex structure data.

Abstract: One variation of a method for serving a video advertisement to a computing device includes: segmenting a digital video into a first video segment and a second video segment; at a visual element loaded into a document, loading the first video segment; in response to a scroll event that shifts the visual element into view within a window rendered on a display of the computing device, playing back the first video segment within the visual element; during playback of the first video segment, loading the second video segment from a remote server; in response to completion of playback of the first video segment, playing back the second video segment within the visual element; and calculating a level of user engagement a total duration of the digital video played back in the visual element.

Abstract: In a method of updating program code in an external non-volatile memory, updated program code is received at an Application Specific Integrated Circuitry (ASIC). The updated program code is received from a host device. The updated program code is stored in a volatile memory of the ASIC. The ASIC performs operations. The updated program code is copied from the volatile memory to a non-volatile memory while performing the operations. The non-volatile memory is located external to the ASIC.

Abstract: Methods and systems are provided for mapping clinical terminology with natural language processing. In one embodiment, an example method includes generating a word relationship graph for a plurality of mappings between a first code set and a second code set, receiving a first code of the first code set, and automatically mapping a second code of the second code set to the first code based on the word relationship graph. In this way, seemingly different code descriptions from different medical vocabularies may be automatically mapped to each other with reduced processing and reduced human intervention.

Abstract: One variation of a method for serving a video advertisement to a computing device includes: segmenting a digital video into a first video segment and a second video segment; at a visual element loaded into a document, loading the first video segment; in response to a scroll event that shifts the visual element into view within a window rendered on a display of the computing device, playing back the first video segment within the visual element; during playback of the first video segment, loading the second video segment from a remote server; in response to completion of playback of the first video segment, playing back the second video segment within the visual element; and calculating a level of user engagement a total duration of the digital video played back in the visual element.