Abstract: The application discloses methods and compositions for inhibiting functions associated with Interleukin-8 (IL8). The methods and compositions may involve the use of aptamers for binding to IL8 and preventing or reducing association of IL8 with CXCR1, CXCR2, or both. The methods and compositions may include one or more aptamers that bind to an N-terminal domain of IL8. The methods and compositions may include one or more aptamers that bind to a hydrophobic pocket of IL8. The methods and compositions may include one or more aptamers that bind to an N-loop of IL8. The methods and compositions may include one or more aptamers that bind to a GAG binding site of IL8. The application further provides anti-IL8 aptamers for the treatment of ocular diseases or disorders. In some cases, the anti-IL8 aptamers may have a stem-loop secondary structure.

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.

Abstract: Disclosed herein is a method for facilitating summarization of a document. Accordingly, the method may include receiving, using a communication device, the document from a user device, analyzing, using a processing device, the document, and generating, using the processing device, an initial summary of the document based on the analyzing of the document. Further, the method may include retrieving, using a storage device, a ground truth metric document associated with the document. Further, the method may include analyzing, using the processing device, the initial summary based on the ground truth metric document. Further, the method may include modifying, using the processing device, the initial summary based on the analyzing of the initial summary. Further, the method may include generating, using the processing device, a final summary of the document based on the modifying. Further, the method may include transmitting, using the communication device, the final summary to the user device.

Abstract: Disclosed herein is a method for facilitating generation of navigable visualizations of documents, in accordance with some embodiments.

Abstract: Methods are presented for generating a natural language model. The method may comprise: ingesting training data representative of documents to be analyzed by the natural language model, generating a hierarchical data structure comprising at least two topical nodes within which the training data is to be subdivided into by the natural language model, 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 indicating which node among the at least two topical nodes said document is to be classified into, 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: 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, apparatuses and computer readable medium are presented for generating a natural language model. A method for generating a natural language model comprises: receiving more than one annotation of a document; calculating a level of agreement among the received annotations; determining that a criterion among a first criterion, a second criterion, and a third criterion is satisfied based at least in part on the level of agreement; determining an aggregated annotation representing an aggregation of information in the received annotations and training a natural language model using the aggregated annotation, when the first criterion is satisfied; generating at least one human readable prompt configured to receive additional annotations of the document, when the second criterion is satisfied; and discarding the received annotations from use in training the natural language model, when the third criterion is satisfied.

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: 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: 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: 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: Methods, apparatuses and computer readable medium are presented for generating a natural language model. A method for generating a natural language model comprises: receiving more than one annotation of a document; calculating a level of agreement among the received annotations; determining that a criterion among a first criterion, a second criterion, and a third criterion is satisfied based at least in part on the level of agreement; determining an aggregated annotation representing an aggregation of information in the received annotations and training a natural language model using the aggregated annotation, when the first criterion is satisfied; generating at least one human readable prompt configured to receive additional annotations of the document, when the second criterion is satisfied; and discarding the received annotations from use in training the natural language model, when the third criterion is satisfied.

Abstract: Methods are presented for generating a natural language model. The method may comprise: ingesting training data representative of documents to be analyzed by the natural language model, generating a hierarchical data structure comprising at least two topical nodes within which the training data is to be subdivided into by the natural language model, 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 indicating which node among the at least two topical nodes said document is to be classified into, 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: 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: 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.