Abstract: The present disclosure relates generally to the field of medical devices for treating heart disease. In particular, the present disclosure relates to medical devices, systems, and methods for delivering artificial chordae tendineae in a patient. A system for delivering a chordae tendineae into a heart may include a delivery catheter. A clamp catheter may be configured to translate through the delivery catheter. A spreader may be disposed on the clamp catheter. A first clamp may be at least partially contained in the spreader in a closed configuration and may be attached to the chordae tendineae. An anchor catheter may be configured to translate through the delivery catheter and may have an anchor attached to the chordae tendineae. A sheath may be extended over the anchor catheter and anchor and may be configured to restrain an arm of the anchor.

Abstract: A metal cabinet for housing medical waste disposal containers includes a locking mechanism for controlled access into the metal cabinet and a cut-out or window integrated into the metal cabinet for visualization of a portion of the medical waste disposal container(s) housed therein.

Abstract: There is provided an apparatus (2) for a vehicle (1), the apparatus comprising a roof box (10) for fitting to a roof of the vehicle with a length of the roof box orientated parallel with a length of the vehicle, and a back box (20) for fitting to a rear of the vehicle with a height of the back box orientated parallel with a height of the vehicle. The roof box and the back box preferably abut one another along a connection interface (25) that extends rearwardly and upwardly from a bottom of the roof box.

Abstract: A method for performing conditional copying of a data object in a data environment to prevent a copying operation failure includes receiving a request to copy the data object to a destination source, the request including an identification of a first source data object, a second source data object and indication of an order of preference between the first data object and the second data object for copying the data object; determining based on the order that data object should be copied from the first source data object; examining a first source indicator to determine if the first source data object is available for copying; based on the determination, copying the data object from the first source data object to the destination source, when the first source data object is available and copying the copying the data object from the second source data object to the destination source, when the first source data object is not available; and creating an indication of successful copying of the data object to the des

Abstract: Disclosed herein is a method for facilitating the classification of documents. Accordingly, the method may include receiving, using a communication device, documents from at least one user device, analyzing, using a processing device, the documents based on a filter, classifying, using the processing device, the documents into a topic based on the analyzing of the documents, transmitting, using the communication device, the documents and a topic identifier associated with the topic to a user device, receiving, using the communication device, a judgment data from the user device, analyzing, using the processing device, the judgment data, modifying, using the processing device, the filter based on the analyzing of the judgment data, generating, using the processing device, a modified filter based on the modifying, and storing, using a storage device, the modified filter.

Abstract: Text blocks are semantically compared, and a semantic score is provided to a user. The semantic score is based on application of a machine learning model trained on a text corpus. One or both of the two text blocks may have one or more words that do not appear in the training text corpus (skip-words). Skip-words are used, rather than discarded, to adjust the semantic score via, for example, a penalization function. The user provides feedback about the accuracy of the adjusted semantic score, and the feedback is used to perform supervised learning model.

Abstract: Techniques are provided for a microfluidic chip for performing a microfluidic reaction. The microfluidic chip includes a rigid layer, a first polymer layer that forms a first surface of a microfluidic chamber within the microfluidic chip, a first adhesive layer disposed between the rigid layer and the first polymer layer, and a second polymer layer that forms a second surface of the microfluidic chamber, and a first port connecting an exterior of the microfluidic chip to the microfluidic chamber through at least the rigid layer, the first polymer layer, and the first adhesive layer. A first self-sealing valve is formed in the first polymer layer and disposed within the first port, the first self-sealing valve configured to seal directly against the rigid layer through a first gap in the first adhesive layer in response to pressure from thermal expansion of a fluid within the microfluidic chamber.

Abstract: Disclosed is a method of facilitating searching of regulatory content. The method may include receiving, using a communication device, a search request from a user device. Further, the search request may be associated with a user account. Further, the method may include querying, using a storage device, at least one database based on the search request. Further, the method may include receiving, using a processing device, at least one regulatory content from the storage device based on the querying. Further, the method may include retrieving, using the storage device, at least one user characteristic associated with the user account. Further, the method may include generating, using the processing device, at least one personalized regulatory content based on each of the at least one regulatory content and the at least one user characteristic. Further, the method may include transmitting the at least one personalized regulatory content to the user device.

Abstract: Techniques are provided for a microfluidic chip for performing a microfluidic reaction. The microfluidic chip includes a rigid layer, a first polymer layer that forms a first surface of a microfluidic chamber within the microfluidic chip, a first adhesive layer disposed between the rigid layer and the first polymer layer, and a second polymer layer that forms a second surface of the microfluidic chamber, and a first port connecting an exterior of the microfluidic chip to the microfluidic chamber through at least the rigid layer, the first polymer layer, and the first adhesive layer. A first self-sealing valve is formed in the first polymer layer and disposed within the first port, the first self-sealing valve configured to seal directly against the rigid layer through a first gap in the first adhesive layer in response to pressure from thermal expansion of a fluid within the microfluidic chamber.

Abstract: A system identifies a first text fragment as being under evaluation, wherein the first text is in at least a first document being compared to a second document using a first semantic model. The system compares the first text fragment to one or more text fragments of the second document. The system identifies top-k text fragments in the second document that are most similar to the first text fragment based on processing using the first semantic model. The system presents a user, via a graphical user interface (GUI), the top-k text fragments in visual proximity to the first text fragment.

Abstract: Methods and systems are disclosed for creating and linking a series of interfaces configured to display information and receive confirmation of classifications made by a natural language modeling engine to improve organization of a collection of documents into an hierarchical structure. In some embodiments, the interfaces may display to an annotator a plurality of labels of potential classifications for a document as identified by a natural language modeling engine, collect annotated responses from the annotator, aggregate the annotated responses across other annotators, analyze the accuracy of the natural language modeling engine based on the aggregated annotated responses, and predict accuracies of the natural language modeling engine's classifications of the documents.

Abstract: Technologies are presented directed to uploading of attachments to a relevant group cloud storage at send time. A communication application and/or service may suggest to a user to upload an attachment of an outgoing communication to a group cloud storage upon generation of the communication. Suggestion of group may be based on last use, document type, content, user(s), which account the user is in, and comparable factors. The user (or sender) may also be provided with options to set permissions for the attachment based on the upload destination selection. In some examples, upload of work documents to personal cloud storage may be prevented and suitable groups may be selected for user that are part of multiple groups.

Abstract: A system identifies a first text fragment as being under evaluation, wherein the first text is in at least a first document being compared to a second document using a first semantic model. The system compares the first text fragment to one or more text fragments of the second document. The system identifies top-k text fragments in the second document that are most similar to the first text fragment based on processing using the first semantic model. The system presents a user, via a graphical user interface (GUI), the top-k text fragments in visual proximity to the first text fragment.

Abstract: Text blocks are semantically compared, and a semantic score is provided to a user. The semantic score is based on application of a machine learning model trained on a text corpus. One or both of the two text blocks may have one or more words that do not appear in the training text corpus (skip-words). Skip-words are used, rather than discarded, to adjust the semantic score via, for example, a penalization function. The user provides feedback about the accuracy of the adjusted semantic score, and the feedback is used to perform supervised learning model.

Abstract: Devices and methods of detecting gas and volatile organic compounds from skin are disclosed. One system for detecting emissions through skin includes a sensing device having a housing having a top portion and a bottom portion, the bottom portion having a concave-shaped bottom surface creating a cavity region, the at least one light source arranged to emit a spectral range of wavelengths of light into the cavity region, and at least one sensor disposed to receive light emitted by the at least one sensor after the light propagates through at least a portion of the cavity region, the at least one sensor configured to generate a signal based on the received light. The sensing device may also include a communication module configured wirelessly transmit the spectral information to a mobile device for determining a characteristic, for example, a blood glucose level.

Abstract: Methods, systems and apparatus, including computer programs encoded on computer storage media for a data record resolution and correlation system. One of the methods includes obtaining data sets each including records associated with entities, the records each specifying information for a plurality of aspects of an entity, the information being encoded in the records, for each of the data sets, according to a respective format. One or more bundles are determined from the data sets, with each bundle indicating records determined to be associated with a same entity and determined using similarity rules that compare aspects specified in the records. Information describing a particular bundle is presented to a reviewing user, and the reviewing user can specify one or more records included in the particular bundle that are properly matched. The particular bundle can be updated based on the reviewing user's specification.

Abstract: Systems are presented for generating a natural language model. The system may comprise a database module, an application program interface (API) module, a background processing module, and an applications module, each stored on the at least one memory and executable by the at least one processor. The system may be configured to generate the natural language model by: ingesting training data, generating a hierarchical data structure, selecting a plurality of documents among the training data to be annotated, generating an annotation prompt for each document configured to elicit an annotation about said document, receiving the annotation based on the annotation prompt, and generating the natural language model using an adaptive machine learning process configured to determine patterns among the annotations for how the documents in the training data are to be subdivided according to the at least two topical nodes of the hierarchical data structure.

Abstract: Methods and systems are disclosed for creating and linking a series of interfaces configured to display information and receive confirmation of classifications made by a natural language modeling engine to improve organization of a collection of documents into an hierarchical structure. In some embodiments, the interfaces may display to an annotator a plurality of labels of potential classifications for a document as identified by a natural language modeling engine, collect annotated responses from the annotator, aggregate the annotated responses across other annotators, analyze the accuracy of the natural language modeling engine based on the aggregated annotated responses, and predict accuracies of the natural language modeling engine's classifications of the documents.

Abstract: A system and method for manufacturing objects in an automated fashion to improve the accessibility and effectiveness of manufacturing technologies. The system may be comprised of one or more web-accessible servers, one or more clients that may communicate with the server, and one or more manufacturing apparatuses that may communicate with one or more clients or servers. The server turns designs into manufacturing instructions using user-specified settings and databases of manufacturing parameters for particular apparatuses and/or manufacturing methods. The system may facilitate communication and revision of designs, manufacturing parameters, or manufacturing instructions between the user and the owner or operator of the manufacturing apparatus. The client may facilitate communication between the server and manufacturing apparatus, may monitor the manufacturing apparatus, and may be physically internal or external to the apparatus.

Abstract: Disclosed herein is a method for facilitating the classification of documents. Accordingly, the method may include receiving, using a communication device, documents from at least one user device, analyzing, using a processing device, the documents based on a filter, classifying, using the processing device, the documents into a topic based on the analyzing of the documents, transmitting, using the communication device, the documents and a topic identifier associated with the topic to a user device, receiving, using the communication device, a judgment data from the user device, analyzing, using the processing device, the judgment data, modifying, using the processing device, the filter based on the analyzing of the judgment data, generating, using the processing device, a modified filter based on the modifying, and storing, using a storage device, the modified filter.