Abstract: A method of oxygenating a benzylic C—H bond is provided. The method comprises light induced activation of an initiator and subsequent reaction with oxygen, resulting in the formation of free radicals. Subsequently, free radicals catalyze the reaction of the benzylic C—H bond with oxygen, thereby forming an oxygenated compound.

Abstract: The present disclosure relates to “Squash” and “Beetroot” nucleic acid aptamer molecules comprising certain nucleotide sequences and variations thereof. Also disclosed are molecular complexes comprising a fluorophore molecule and a nucleic acid aptamer molecule disclosed herein, isolated host cells comprising the molecular complexes, kits comprising a fluorophore and a nucleic acid aptamer, constructed DNA molecules encoding a nucleic acid aptamer molecule, expression systems, transgenic host cells, methods of detecting target molecules, RNA-based metabolite sensors, RNA-based ratiometric metabolite sensors, systems comprising RNA-based ratiometric metabolite sensors, and methods of generating a randomized aptamer library.

Abstract: Embodiments of technologies for machine learning-assisted content moderation include receiving a first electronic communication from a user device, where the first electronic communication identifies a content item. At least one trained machine learning model is selected from a set of trained machine learning models based on the content item and the first electronic communication. The selected trained machine learning model(s) are applied to the identified content item. The selected trained machine learning model(s) identify sub-items of the content item, corresponding content labels, and associated confidence metrics. Using the confidence metrics and one or more additional electronic communications received from the user device, a content moderation process is applied to the content item and/or the sub-items.

Abstract: Systems and methods for managing power loads of one or more data centers using a wide-area energy controller to operate local energy resources of the data center based on power control information generated by a remote data center control system are described. In one aspect, a system includes a set of local energy sources configured to provide power to the loads of the energy system and a wide-area energy controller. The wide-area energy controller includes a first interface communicably coupled to an application programming interface (API) that connects a remote data center control system to respective wide-area energy controllers of multiple data centers, the first interface being configured to receive power control information from the remote data center control system via the API. The wide-area energy controller includes a control unit configured to schedule the local energy sources to provide power to the loads based on the power control information.

Abstract: In accordance with some aspects of the present disclosure, an apparatus is disclosed. The apparatus includes a processor and a memory, wherein the memory includes programmed instructions that when executed by the processor, cause the apparatus to receive a request to join a plurality of entity data structures using a first join order, determine a first performance cost of the first join order, determine a second performance cost of a second join order, determine whether the second performance cost is lower than the first performance cost, in response to determining that the second performance cost is lower than or exceeds the first performance cost, select the second join order or the first join order, respectively, join the plurality of entity data structures using the selected join order, and send the joined plurality of entity data structures.

Abstract: A system for facilitating workload portability is provided. The system includes a target server instantiated at a target platform and configured to store, at the target platform, one or more snapshots of a workload executing at a source platform. The snapshots are captured at each defined time-interval and correspond to an incremental change in the workload in raw state. The stored snapshots include boot files and data files. The target server updates, based on a trigger pertaining to workload portability of the workload, the boot files and the data files with configuration supported by the target platform. The target server executes the updated boot files and data files at the target platform. The execution of the workload at the target platform is identical to the execution thereof at the source platform.

Abstract: A method of making N-(2,4-dinitrophenyl)-4-nitrobenzamide from a mixture of 2,4-dinitroaniline, 4-nitrobenzoyl chloride, and solid acid catalyst in an organic solvent, wherein the solid acid catalyst is not soluble in the organic solvent, the solid acid catalyst being an acidic clay, an ion exchange resin, a beta zeolite, a sulfonated tetrafluoroethylene-based fluoropolymer-copolymer, or some mixture of these.

Abstract: There is provided a computer-implemented method for identifying abnormal QRS-complexes in an ECG signal comprising: receiving an ECG signal with detected QRS-complexes; calculating and normalizing a plurality of geometric measures of the QRS-complexes; constructing an RGB image with three two-dimensional matrices, each matrix corresponding to one of the calculated plurality of geometric measures, the geometric measures belonging to one QRS-complex have the same matrix index across the three two-dimensional matrices; transforming the RGB image to a plurality of gray-scale images; computing histograms of each of the plurality of gray-scale image; iteratively comparing every histogram peak to its previous one; and marking pixel intensities corresponding to histogram peaks with a difference value of equal or greater than a predefined threshold referred to as a saliency threshold, as salient pixels; using saliency detection for mapping salient pixels indices onto the ECG signal and classifying the salient pixel in

Abstract: A method for reduction of sugars. The first step is providing a solution of a sugar comprising from five to twenty carbon atoms. The second step is contacting said solution with hydrogen gas and a catalyst. The catalyst is an ion exchange resin comprising Ru.

Abstract: There are provided systems and methods for a fallback artificial intelligence (AI) system for redundancy during system failover. A service provider may provide AI systems for automated decision-making, such as for risk analysis, marketing, and the like. An AI system may operate in a production computing environment in order to provide AI decision-making based on input data, for example, by providing an output decision. In order to provide redundancy to the production AI system, the service provider may train a fallback AI system using the input/output data pairs from the production AI system. This may utilize a deep neural network and a continual learning trainer. Thereafter, when a failover condition is detected for the production AI system, the service provider may switch from the production AI system to the fallback AI system, which may provide decision-making operations during failure of within the production computing environment.

Abstract: A method of oxygenating a benzylic C—H bond is provided. The method comprises light induced activation of an initiator and subsequent reaction with oxygen, resulting in the formation of free radicals. Subsequently, free radicals catalyze the reaction of the benzylic C—H bond with oxygen, thereby forming an oxygenated compound.

Abstract: Disclosed are methods, systems, and articles of manufacture for implementing electronic design closure with reduction techniques. A timing graph and compact timing data for an analysis view of a set of analysis views may be determined for an electronic design. A reduced set of dominant analysis views may be determined based at least in part upon a result of a timing dominance analysis. Timing data may be loaded for at least the reduced set of dominant analysis views; and a design closure task may be performed on the electronic design using at least the timing data and the reduced set of dominance analysis views.

Abstract: Systems and methods for analyzing a customer deployment in a converged or hyper-converged infrastructure are disclosed. A machine learning model is trained based upon historical usage data of other customer deployments. A k-means clustering is performed to generate a prediction as to whether a deployment is configured for optimal failover. Recommendations to improve failover performance can also be generated.

Abstract: In accordance with some aspects of the present disclosure, an apparatus is disclosed. The apparatus includes a processor and a memory, wherein the memory includes programmed instructions that when executed by the processor, cause the apparatus to receive a request to join a plurality of entity data structures using a first join order, determine a first performance cost of the first join order, determine a second performance cost of a second join order, determine whether the second performance cost is lower than the first performance cost, in response to determining that the second performance cost is lower than or exceeds the first performance cost, select the second join order or the first join order, respectively, join the plurality of entity data structures using the selected join order, and send the joined plurality of entity data structures.

Abstract: A management device includes at least one processor communicatively coupled to at least one energy resource controller controlling at least one energy resource and to at least one deferrable load controller controlling power to at least one deferrable load. The is configured to receive an indication, determined based on a frequency value of an electrical network and a nominal frequency value, that a frequency anomaly event has occurred. Responsive to receiving the indication that the frequency anomaly event has occurred, the processor is also configured to determine, for at least one of the energy resource and the deferrable load, based on the frequency value, the nominal frequency value, and a power value of the electrical network, a respective power command, and cause at least one of the at least one energy resource and the at least one deferrable load to modify operation based on the respective power command.

Abstract: Disclosed are methods, systems, and articles of manufacture for implementing an electronic design with high-capacity design closure. A reduced netlist may be generated for an analysis view of an electronic design based at least in part upon logic of interest in the analysis view. A closure may be performed based at least in part upon a union netlist, wherein the union netlist is generated from the reduced netlist. The electronic design may then be implemented based at least in part upon a result of the closure task.

Abstract: There are provided systems and methods for a fallback artificial intelligence (AI) system for redundancy during system failover. A service provider may provide AI systems for automated decision-making, such as for risk analysis, marketing, and the like. An AI system may operate in a production computing environment in order to provide AI decision-making based on input data, for example, by providing an output decision. In order to provide redundancy to the production AI system, the service provider may train a fallback AI system using the input/output data pairs from the production AI system. This may utilize a deep neural network and a continual learning trainer. Thereafter, when a failover condition is detected for the production AI system, the service provider may switch from the production AI system to the fallback AI system, which may provide decision-making operations during failure of within the production computing environment.

Abstract: A method of making N-(2,4-dinitrophenyl)-4-nitrobenzamide from a mixture of 2,4-dinitroaniline, 4-nitrobenzoyl chloride, and solid acid catalyst in an organic solvent, wherein the solid acid catalyst is not soluble in the organic solvent, the solid acid catalyst being an acidic clay, an ion exchange resin, a beta zeolite, a sulfonated tetrafluoroethylene-based fluoropolymer-copolymer, or some mixture of these.

Abstract: Methods and systems are presented for dynamically configuring a software application to log different data variables without requiring re-deploying the software application. When a software application is executed, the software application may obtain and/or generate data variables. During runtime of the software application while processing a request, the software application may access a log script external to the software application. The software application may select a subset of data variables for logging, and may record only the subset of data variables in a log file. The log script may be modified without requiring the software application to be modified or re-deployed such that the software application may log different subset of data variables while processing different processes based on different versions of the log script.

Abstract: Systems and methods for analyzing a customer deployment in a converged or hyper-converged infrastructure are disclosed. A machine learning model is trained based upon historical usage data of other customer deployments. A k-means clustering is performed to generate a prediction as to whether a deployment is configured for optimal failover. Recommendations to improve failover performance can also be generated.