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: 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.

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: Big data health service method and system based on remote fundus screening are provided. The method includes steps of: acquiring information to be analyzed sent by remote terminal agency; pre-interpreting information to be analyzed, and judging whether information to be analyzed is qualified; extracting characteristic data from information to be analyzed if it is qualified, and forming structured quantitative index; sorting and analyzing characteristic data and quantitative index according to knowledge calculation model to obtain analysis conclusion; and storing information to be analyzed, characteristic data, quantitative index, and analysis conclusion into pre-designed database.

Abstract: The present invention relates to fundus image processing field, especially a preprocessing method for quantitative analysis of fundus image, and storage device. A preprocessing method for quantitative analysis of fundus image, wherein the step includes, acquiring a to-be-processed fundus image; performing optic disk positioning on the to-be-processed fundus image; performing macular fovea positioning on the to-be-processed image; and calculating a quantization parameter of a distance between a center of the macular fovea and a bitamporal edge of the optic disk. Through this method, the data obtained is converted from absolute representation to relative representation, and through normalization, a meaningful and comparable quantification is formed between people, between different people, and even between inspection results of different instruments. analyze data. It ensures that fundus images from different sources can form meaningful and comparable quantitative indicators.

Abstract: A quality control method for remote fundus screening includes acquiring a fundus image of an examinee through a fundus camera by terminal application institution and transmitting the fundus image as well as personal information and inquiry data which are carried by the examinee to a remote interpretation and consultation center. The remote interpretation consultation center determines whether the fundus image, personal information, and consultation data are qualified; if the fundus image, personal information, and consultation data are unqualified, the remote interpretation consultation center terminates the interpretation.

Abstract: Methods and devices are described for a photovoltaic device. The photovoltaic device includes a glass substrate, a semiconductor absorber layer formed over the glass substrate, a metal back contact layer formed over the semiconductor absorber layer, and a p-type back contact buffer layer formed from one of MnTe, Cd1-xMnxTe, and SnTe, the buffer layer disposed between the semiconductor absorber layer and the metal back contact layer.

Abstract: A system and method for restricting and controlling access to electronic devices, the system includes a database of workers, a fool-proofing unit, and a controlling unit. The fool-proofing unit includes an information input module collecting information as to an electronic device and identity and extent of authority of a worker requesting to use such electronic device. A query module to search the database is also included, the query module can determine whether the worker has the authority to sign in to use a certain electronic device. The controlling unit can power on the electronic device when a given worker with necessary authority signs in to use the electronic device. The method is also disclosed.

Abstract: Methods and devices are described for a photovoltaic device. The photovoltaic device includes a glass substrate, a semiconductor absorber layer formed over the glass substrate, a metal back contact layer formed over the semiconductor absorber layer, and a p-type back contact buffer layer formed from one of MnTe, Cd1-xMnxTe, and SnTe, the buffer layer disposed between the semiconductor absorber layer and the metal back contact layer.