Abstract: In an embodiment, a method includes: depositing a gate dielectric layer on a first fin and a second fin, the first fin and the second fin extending away from a substrate in a first direction, a distance between the first fin and the second fin decreasing along the first direction; depositing a sacrificial layer on the gate dielectric layer by exposing the gate dielectric layer to a self-limiting source precursor and a self-reacting source precursor, the self-limiting source precursor reacting to form an initial layer of a material of the sacrificial layer, the self-reacting source precursor reacting to form a main layer of the material of the sacrificial layer; annealing the gate dielectric layer while the sacrificial layer covers the gate dielectric layer; after annealing the gate dielectric layer, removing the sacrificial layer; and after removing the sacrificial layer, forming a gate electrode layer on the gate dielectric layer.

Abstract: A device includes a substrate, and a first semiconductor channel over the substrate. The first semiconductor channel includes a first nanosheet of a first semiconductor material, a second nanosheet of a second semiconductor material in physical contact with a topside surface of the first nanosheet, and a third nanosheet of the second semiconductor material in physical contact with an underside surface of the first nanosheet. The first gate structure is over and laterally surrounding the first semiconductor channel, and in physical contact with the second nanosheet and the third nanosheet.

Abstract: A device includes a substrate, and a first semiconductor channel over the substrate. The first semiconductor channel includes a first nanosheet of a first semiconductor material, a second nanosheet of a second semiconductor material in physical contact with a topside surface of the first nanosheet, and a third nanosheet of the second semiconductor material in physical contact with an underside surface of the first nanosheet. The first gate structure is over and laterally surrounding the first semiconductor channel, and in physical contact with the second nanosheet and the third nanosheet.

Abstract: A coil module is provided, including a second coil mechanism. The second coil mechanism includes a third coil assembly and a second base corresponding to the third coil assembly. The second base has a positioning assembly corresponding to a first coil mechanism.

Abstract: An earbud with temperature sensing is provided, and the earbud includes a housing, a speaker and a first temperature sensor. The housing defines a first opening and a second opening. The speaker is disposed within the housing and oriented so that audio emitted by the speaker exits the housing through the first opening defined by the housing. The first temperature sensor is positioned along an interior surface of the housing and aligned with the second opening in the housing for non-contact temperature sensing. In response to the earbud being positioned for use within an ear of a user, the second opening aligns with an inner side of the tragus close to the ear canal, the cavum conchae, an inner edge of the antitragus, or the cheek close to the ear, such that the first temperature sensor detects a body temperature of the user through the second opening.

Abstract: A structure has stacks of semiconductor layers over a substrate and adjacent a dielectric feature. A gate dielectric is formed wrapping around each layer and the dielectric feature. A first layer of first gate electrode material is deposited over the gate dielectric and the dielectric feature. The first layer on the dielectric feature is recessed to a first height below a top surface of the dielectric feature. A second layer of the first gate electrode material is deposited over the first layer. The first gate electrode material in a first region of the substrate is removed to expose a portion of the gate dielectric in the first region, while the first gate electrode material in a second region of the substrate is preserved. A second gate electrode material is deposited over the exposed portion of the gate dielectric and over a remaining portion of the first gate electrode material.

Abstract: An anti-PD-L1 antibody, or an antigen-binding fragment thereof, comprising: a heavy chain variable region comprising the three CDRs with the sequences of SEQ ID NOs: 2-4, 6-8, 10-12, 14-16, or 18-20; and/or a light chain variable region comprising the three CDRs with the sequences of SEQ ID NOs: 22-24, 26-28, 30-32, 34-36, or 38-40, wherein the antibody is a chimeric, humanized, composite, or human antibody.

Abstract: Various embodiments of the present disclosure provide methods, apparatus, systems, computing devices, computing entities, and/or the like for retrieving relevant items for user queries by generating, using a search engine machine learning model, a prediction-based action for the query input wherein query input embeddings of the query input are generated. For each query input embedding, a k-Nearest-Neighbor (KNN) search is performed with respect to search engine repository item embeddings to generate initial search results, and for each initial set result, performing N hops within a semantic graph starting from nodes associated with the initial search result to generate related search results. The search engine machine learning model is trained by generating a search engine repository item embeddings according to embedding techniques for respective content categories and generating the semantic graph based at least in part on a measure of similarity for pairs of search engine repository item embeddings.

Abstract: The present disclosure provides an electronic module including a circuit including a transmitting part and a receiving part physically separated from the transmitting part. The electronic module also includes an element isolated from the circuit and configured to block electrical interference between the transmitting part and the receiving part.

Abstract: Methods, apparatuses, systems, computing devices, and/or the like are provided. An example method may include retrieving an initial ranking data object associated with a plurality of search result data objects, retrieving a plurality of relevance score data objects, generating a plurality of ranking comparison score data objects, generating a multi-measure optimized ranking data object associated with the plurality of search result data objects, and performing one or more prediction-based actions based at least in part on the multi-measure optimized ranking data object.

Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing personalized autocomplete predictions. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform personalized autocomplete predictions using a general search corpus and/or individual curated search corpus.

Abstract: The present disclosure provides an electronic module including a circuit including a transmitting part and a receiving part physically separated from the transmitting part. The electronic module also includes an element isolated from the circuit and configured to block electrical interference between the transmitting part and the receiving part.

Abstract: Various embodiments of the present disclosure provide methods, apparatus, systems, computing devices, computing entities, and/or the like for retrieving relevant items for user queries by generating, using a search engine machine learning model, a prediction-based action for the query input wherein query input embeddings of the query input are generated. For each query input embedding, a k-Nearest-Neighbor (KNN) search is performed with respect to search engine repository item embeddings to generate initial search results, and for each initial set result, performing N hops within a semantic graph starting from nodes associated with the initial search result to generate related search results. The search engine machine learning model is trained by generating a search engine repository item embeddings according to embedding techniques for respective content categories and generating the semantic graph based at least in part on a measure of similarity for pairs of search engine repository item embeddings.

Abstract: Embodiments of the present disclosure provide a headgear assembly that includes a headband and at least one tube securement member coupled to the headband. The tube securement member includes channel having a first end and a second end. The channel is curved between the first and second ends and defines a receiving region configured to secure a portion of a tube connected to a nasal cannula. The channel faces away from skin of the subject when the headgear assembly is in use.

Abstract: A bite block includes a main body and a mouthpiece extending outward from the main body and configured to be positioned in a mouth of the subject when the bite block is in use. The mouthpiece can include a main channel configured to receive an endoscopic tube and a sampling channel configured to receive orally exhaled gases from the subject. The bite block can include a gas delivery channel configured to direct gases into the subject's mouth, the gas delivery channel extending through a portion of the main body and through a portion of the main channel such that the gas delivery channel is in fluid communication with the main channel. The bite block can include a recess extending along a portion of the first surface of the main body proximate the gas delivery channel and configured to receive a portion of a gas delivery tube.

Abstract: The present disclosure provides an electronic module including a circuit including a transmitting part and a receiving part physically separated from the transmitting part. The electronic module also includes an element isolated from the circuit and configured to block electrical interference between the transmitting part and the receiving part.

Abstract: In some implementations, a low dead space airway adapter for sampling fluid flowing through a ventilation assembly includes an outer wall configured to couple to an endotracheal (ET) tube adapter and an internal projection positioned at least partially within an internal cavity defined by the outer wall and configured to extend within an internal cavity of the ET tube adapter when the airway adapter is in use. The internal projection can include a fluid passageway configured for fluid communication with at least a portion of the internal cavity of the ET tube adapter and a free end comprising an opening in fluid communication with the fluid passageway. At least a portion of the free end can be chamfered around the opening and configured to contact an inner surface of the ET tube adapter when the outer wall is coupled to the ET tube adapter.

Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing predictive utility evaluation for a utility measure value given a defined demographic profile. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform predictive utility evaluation for a utility measure value given a defined demographic profile by utilizing mappings across risk domains and evaluation domains to generate predicted utility scores based at least in part on utility distribution measures that are determined based at least in part on risk distribution measures, for example based at least in part on relationships between a predicted utility score and a distribution of predicted utility scores for a plurality of utility discretization categories.

Abstract: Methods, apparatuses, systems, computing devices, computing entities, and/or the like are provided. An example method may include retrieving a client profile data object based at least in part on a client identifier indicator, determining a plurality of point indicators based at least in part on the at least one client activity data object, generating an activity score data object associated with the client profile data object, generating a composite score data object, and performing at least one score-based action based at least in part on the composite score data object and the client profile data object.