Abstract: As described herein, a system, method, and computer program are provided for context-based data-driven classification. Input to be processed using a classifier is identified. Data is obtained from one or more third party data sources, based on the input to be processed. The input is processed, using the classifier, to generate output that includes at least one classification for the input. Both the data from the one or more third party data sources and the output of the classifier are processed to determine a final classification for the input.

Abstract: Systems and methods presented herein generally relate to a method that includes receiving water at a centralized facility. The method also includes receiving sand from one or more sand mines at the centralized facility. The method further includes receiving one or more chemicals at the centralized facility. In addition, the method includes using processing equipment of the centralized facility to process the water, the sand, and the one or more chemicals to produce a fracturing slurry. The method also includes conveying the fracturing slurry from the centralized facility to one or more fracturing sites.

Abstract: Systems and methods presented herein generally relate to a method that includes receiving water at a centralized facility. The method also includes receiving sand from one or more sand mines at the centralized facility. The method further includes receiving one or more chemicals at the centralized facility. In addition, the method includes using processing equipment of the centralized facility to process the water, the sand, and the one or more chemicals to produce a fracturing slurry. The method also includes conveying the fracturing slurry from the centralized facility to one or more fracturing sites.

Abstract: As described herein, a system, method, and computer program are provided for context-based data-driven classification. Input to be processed using a classifier is identified. Data is obtained from one or more third party data sources, based on the input to be processed. The input is processed, using the classifier, to generate output that includes at least one classification for the input. Both the data from the one or more third party data sources and the output of the classifier are processed to determine a final classification for the input.

Abstract: Various embodiments of a variable geometry quadrotor with a compliant frame are disclosed, which adapts to tight spaces and obstacles by way of passive rotation of its arms.

Abstract: Systems and methods for preprocessing large inference files in a cluster environment prior to transmission to one or more downstream applications. The inference files are processed using templates that correspond to particular downstream applications, allowing for optimized transmission and optimized processing by each downstream application.

Abstract: In examples, a system for using interchangeable non-compute resources is provided. The system includes at least one processor and memory storing instructions that, when executed by the at least one processor, cause the system to: receive a first key corresponding to a first non-compute resource, define a first connection with the first non-compute resource based on the first key, receive a second key corresponding to a second non-compute resource, define a second connection with the second non-compute resource based on the second key, receive an indication corresponding to a selection of the first non-compute resource, and configure the system to interface with the first non-compute resource at a deployment of a generated application.

Abstract: Systems herein allow a user device to monitor calendar events with a secure bubble application. When an event is upcoming, the secure bubble application can present a notification. The secure bubble application can search other managed applications for content relevant to the meeting event. The secure bubble application can extract text, tags, and other metadata from the calendar event and any attached files. The text, tags, and other metadata can be used to search each managed application. Relevant emails, files, and notes can be displayed in a card generated by the secure bubble application.

Abstract: Aspects of the disclosure relate to using synthetic DNA stranding and mutant nucleotide processes to conduct enterprise market volatility predictions. In some embodiments, a computing platform may receive raw market data from a plurality of lines of business of an enterprise organization. Thereafter, the computing platform may preprocess the raw market data to obtain enterprise level market data, execute synthetic DNA stranding of the enterprise level market data to obtain synthetic DNA stranded market data, run the synthetic DNA stranded market data through one or more market volatility models, and compile results from the market volatility models on the synthetic DNA stranded market data. The computing platform may transmit results from the market volatility models on the synthetic DNA stranded market data. The transmitted results may be configured to display a market application interface that includes market volatility forecasting parameters based on results of the market volatility models.

Abstract: Aspects of the disclosure relate to using synthetic DNA stranding and mutant nucleotide processes to conduct enterprise market volatility predictions. In some embodiments, a computing platform may initiate a set of instructions associated with performing an action on a synthetic DNA market data set associated with a plurality of lines of business across an enterprise organization. Thereafter, the computing platform may convert the set of instructions to a mutant nucleotide sequence, and insert the mutant nucleotide sequence into the synthetic DNA market data set. The computing platform may extract, using the mutant nucleotide sequence, target information from the synthetic DNA market data set, and validate the target information to detect one or more anomalies. The computing platform may remove the one or more data anomalies, and subsequently output a validated synthetic DNA market data set to a synthetic DNA client server.

Abstract: Aspects of the disclosure relate to using synthetic DNA stranding and mutant nucleotide processes to conduct enterprise market volatility predictions. In some embodiments, a computing platform may receive market data from a plurality of lines of business across an enterprise, wherein the market data is received in a raw, uncompressed format. Thereafter, the computing platform may assimilate and preprocess the market data to output vectored market data. The computing platform may perform a synthetic DNA stranding process on the vectored market data to create one or more strands of synthetic DNA market data, and output the one or more strands of synthetic DNA market data to a synthetic DNA client server, wherein the one or more stands of synthetic DNA market data is configured for input in a market volatility prediction model.

Abstract: Systems and methods for optimizing multi-stage data machine learning model processing, by providing an intermediate processing step to identify or filter records in voluminous inference data that meet a predetermined threshold. Multiple downstream processes can be optimized by applying multiple thresholds to the voluminous inference data.

Abstract: A fabric-based, soft-bodied aerial robot includes contact-reactive perching and embodied impact protection structures while remaining lightweight and streamlined. The aerial robot is operable to 1) pneumatically vary its body stiffness for collision resilience and 2) utilize a hybrid fabric-based, bistable (HFB) grasper to perform passive grasping. When compared to conventional rigid drone frames the soft-bodied aerial robot successfully demonstrates its ability to dissipate impact from head-on collisions and maintain flight stability without any structural damage. Furthermore, in dynamic perching scenarios the HFB grasper is capable to convert impact energy upon contact into firm grasp through rapid body shape conforming in less than 4 ms.

Abstract: Systems and methods presented herein generally relate to a method that includes using a low-shear addition system at a centralized facility to add a friction-reducing additive to a fluid to produce friction-reduced hydraulic fracturing slurry. The method also includes conveying the friction-reduced hydraulic fracturing slurry from the centralized facility to at least one fracturing site. The method further includes injecting the friction-reduced hydraulic fracturing slurry into a reservoir to stimulate at least one well at the at least one fracturing site.

Abstract: Various embodiments of a variable geometry quadrotor with a compliant frame are disclosed, which adapts to tight spaces and obstacles by way of passive rotation of its arms.

Abstract: Disclosed are compounds and methods for the treatment of diseases or disorders associated with expression of miR-122. More specifically, ? peptide nucleic acid (?PNA) inhibitors of miR-122 and methods of using the same are disclosed.

Abstract: Unstructured data items are stored at an object storage service. A filtering requirement to be used to generate a result set for an access request is determined. Using a transformed representation of the filtering requirement, a target set of tokens of the filtering requirement which are to be obfuscated within a log record is identified. A log record that comprises substitute tokens for the target set of tokens is generated and stored.

Abstract: Various embodiments of a system and associated method for a thrust-vector controlled unmanned aerial and ground vehicle are disclosed herein.

Abstract: Systems herein allow a user device to monitor calendar events with a secure bubble application. When an event is upcoming, the secure bubble application can present a notification. The secure bubble application can search other managed applications for content relevant to the meeting event. The secure bubble application can extract text, tags, and other metadata from the calendar event and any attached files. The text, tags, and other metadata can be used to search each managed application. Relevant emails, files, and notes can be displayed in a card generated by the secure bubble application.