Abstract: A cloud computing system can be configured to generate a synthetic data stream that tracks a reference data stream. A model optimizer of the cloud computing system can receive, from an interface of the cloud computing system, a synthetic data stream request indicating a reference data stream. A dataset generator of the cloud computing system can generate a synthetic data stream that tracks the reference data stream by repeatedly swapping data models of the reference data stream. One such repeat can include retrieving, by the dataset generator from a model storage, a current data model of the reference data stream and generating a new data model of the reference data stream. The model optimizer can store the new data model in the model storage. The dataset generator can generate a synthetic data stream using the current data model of the reference data stream.

Abstract: The present disclosure provides a multivitamin specifically formulated for patients undergoing CFTR modulator therapy. The multivitamin includes, in various embodiments, pro-vitamin A, vitamin E, a solubilizer, a bile fluid secretion stimulator, vitamin C and a probiotic formulation.

Abstract: The present disclosure provides a multivitamin specifically formulated with an amended non-staining beta-carotene, or pro-vitamin A. In another aspect, the present disclosure provides a multivitamin for patients undergoing CFTR modulator therapy. The multivitamin includes, in various embodiments, pro-vitamin A, vitamin E, a solubilizer, a bile fluid secretion stimulator, vitamin C and a probiotic formulation.

Abstract: A cloud computing system can be configured to generate data models. A model optimizer of the cloud computing system can provision computing resources of the cloud computing system with a data model. A dataset generator of the cloud computing system can generate a synthetic dataset for training the data model. The computing resources can train the data model using the synthetic dataset. The model optimizer can store the data model and metadata of the data model in a model storage. The cloud computing system can receive production data from a data source by a production instance of the cloud computing system using a common file system. The production data can be processed using the data model by the production instance. The computing resources, the dataset generator, and the model optimizer can be hosted by separate virtual computing instances of the cloud computing system.

Abstract: A cloud computing system can be configured to generate data models. A model optimizer of the cloud computing system can provision computing resources of the cloud computing system with a data model. A dataset generator of the cloud computing system can generate a synthetic dataset for training the data model. The computing resources can train the data model using the synthetic dataset. The model optimizer can store the data model and metadata of the data model in a model storage. The cloud computing system can receive production data from a data source by a production instance of the cloud computing system using a common file system. The production data can be processed using the data model by the production instance. The computing resources, the dataset generator, and the model optimizer can be hosted by separate virtual computing instances of the cloud computing system.

Abstract: An example system for critical data storage can include a first controller comprising a processor and a non-transitory machine-readable medium (MRM) communicatively coupled to the processor. The non-transitory MRM can include instructions executable by the processor to cause the processor to receive a request for a new critical data type, store the new critical data type in a reserve within the nontransitory MRM, and restore the new critical data type from the reserve to a second controller responsive to replacement of the first controller with the second controller and a subsequent firmware update.

Abstract: Systems and methods are disclosed that provide for extracting information from a text string. In certain embodiments, a system is disclosed to receive a textual string representative of a distributed computing operation. The system is configured to isolate an identifier included in the textual string based on information in the textual string and/or other information associated with the distributed computing operation. The system is also configured to provide the identifier to a computer device over a network.

Abstract: Systems and methods are disclosed that provide for extracting information from a text string. In certain embodiments, a system is disclosed to receive a textual string representative of a distributed computing operation. The system is configured to isolate an identifier included in the textual string based on information in the textual string and/or other information associated with the distributed computing operation. The system is also configured to provide the identifier to a computer device over a network.

Abstract: A method is disclosed, comprising: aggregating a plurality of sets of transactions, each set of transactions comprising transactions related to an account-merchant pairing; determining variables characterizing a recurrence period based on transaction dates of the transactions in the each set; predicting the recurrence period for a transaction related to the account-merchant pairing for each customer of the plurality of customers; aggregating another set of transactions between the plurality of customers and the merchant; evaluating a distribution of the recurrence period for each customer within range of a distant point; and based on the evaluation of the distribution of the recurrence period for each customer, generating a probability of the merchant having a recurrent transaction with the customer. The account-merchant pairing may comprise a customer account and a merchant of a plurality of customers and merchants.

Abstract: A method is disclosed, comprising: aggregating a plurality of sets of transactions, each set of transactions comprising transactions related to an account-merchant pairing; determining variables characterizing a recurrence period based on transaction dates of the transactions in the each set; predicting the recurrence period for a transaction related to the account-merchant pairing for each customer of the plurality of customers; aggregating another set of transactions between the plurality of customers and the merchant; evaluating a distribution of the recurrence period for each customer within range of a distant point; and based on the evaluation of the distribution of the recurrence period for each customer, generating a probability of the merchant having a recurrent transaction with the customer. The account-merchant pairing may comprise a customer account and a merchant of a plurality of customers and merchants.

Abstract: An agricultural formulation comprises: at least one agricultural active; and an alkyl imino dipropionate having the formula: wherein R is a C6-C24, linear or branched, alkyl group, and wherein each M is independently a cation chosen from Mg2+, Ca2+, NH4+, K+, and Na+, and wherein the formulation is free of an alkylamine and/or derivative thereof if R is lauryl.

Abstract: A method is disclosed, comprising: aggregating a plurality of sets of transactions, each set of transactions comprising transactions related to an account-merchant pairing; determining variables characterizing a recurrence period based on transaction dates of the transactions in the each set; predicting the recurrence period for a transaction related to the account-merchant pairing for each customer of the plurality of customers; aggregating another set of transactions between the plurality of customers and the merchant; evaluating a distribution of the recurrence period for each customer within range of a distant point; and based on the evaluation of the distribution of the recurrence period for each customer, generating a probability of the merchant having a recurrent transaction with the customer. The account-merchant pairing may comprise a customer account and a merchant of a plurality of customers and merchants.

Abstract: In one example, an apparatus includes a first switch array including a first plurality of switches. A first resistor array includes a first plurality of resistor pairs, where each resistor pair in the first plurality of resistors is coupled to one switch of the first plurality of switches. The apparatus also includes a second switch array including a second plurality of switches. A second resistor array includes a second plurality of resistor pairs, where each resistor pair in the second plurality of resistors is coupled to one switch of the second plurality of switches. The apparatus further includes a plurality of output nodes configured to transmit an analog voltage, where each output node of the plurality of output nodes is connected to one resistor pair of the first resistor array and one resistor pair of the second resistor array.

Abstract: A method and apparatus (e.g., network test instrument) for presenting network device diagnostic information in which a listing of network devices discovered via a first network connection (e.g., wirelessly—802.11) to a test network is presented in a GUI of a network diagnostic instrument. Acquired network diagnostic information for a network device selected from the listing of network devices is then presented in the GUI wherein the presented network diagnostic information is acquired via the first network connection (e.g., wirelessly—802.11). Indication (and a link thereto) is provided in the GUI indicating network diagnostic information for the selected network device was also acquired via a second network connection to the test network (e.g., via a wired connection—802.3).

Abstract: A cloud computing system can be configured to generate data models. A model optimizer of the cloud computing system can provision computing resources of the cloud computing system with a data model. A dataset generator of the cloud computing system can generate a synthetic dataset for training the data model. The computing resources can train the data model using the synthetic dataset. The model optimizer can store the data model and metadata of the data model in a model storage. The cloud computing system can receive production data from a data source by a production instance of the cloud computing system using a common file system. The production data can be processed using the data model by the production instance. The computing resources, the dataset generator, and the model optimizer can be hosted by separate virtual computing instances of the cloud computing system.

Abstract: A cloud computing system can be configured to generate a synthetic data stream that tracks a reference data stream. A model optimizer of the cloud computing system can receive, from an interface of the cloud computing system, a synthetic data stream request indicating a reference data stream. A dataset generator of the cloud computing system can generate a synthetic data stream that tracks the reference data stream by repeatedly swapping data models of the reference data stream. One such repeat can include retrieving, by the dataset generator from a model storage, a current data model of the reference data stream and generating a new data model of the reference data stream. The model optimizer can store the new data model in the model storage. The dataset generator can generate a synthetic data stream using the current data model of the reference data stream.

Abstract: In one example, an apparatus includes a first switch array including a first plurality of switches. A first resistor array includes a first plurality of resistor pairs, where each resistor pair in the first plurality of resistors is coupled to one switch of the first plurality of switches. The apparatus also includes a second switch array including a second plurality of switches. A second resistor array includes a second plurality of resistor pairs, where each resistor pair in the second plurality of resistors is coupled to one switch of the second plurality of switches. The apparatus further includes a plurality of output nodes configured to transmit an analog voltage, where each output node of the plurality of output nodes is connected to one resistor pair of the first resistor array and one resistor pair of the second resistor array.

Abstract: The present invention relates to an aqueous agrochemical spray solution containing an agrochemical active and a surfactant. The spray solution comprises a dispersed phase comprising dispersed particles which have an average particle size between 1 to 100 microns and the concentration of said dispersed particles is from about 0.001 to 5 wt %. The aqueous agrochemical spray solution is capable of reducing the volume of the fine droplets in mist whose size is less than 150 microns during spraying by at least 20% compared to the same aqueous spray solution without the presence of the surfactant. The present invention also relates to a method of reducing the spray drift of an aqueous agrochemical spray solution upon spraying with a spraying apparatus. The method includes adding the surfactant to the aqueous agrochemical spray solution in an amount effective to form the dispersed phase.

Abstract: A display system comprises a continuous flexible display and two main display supports being hingeably connected with respect to each other between a closed storage position and a planar open position for fixing the flexible display in an open position. Each of the supports is structurally configured to support respectively a first and a second portion of the flexible display, a segment of the flexible display is located between the said respective portions of the flexible display in the open position. The display system comprises a spring force biased mechanism operative in either the open or closed position or both the open and closed positions of the flexible display, biasing said segment of the flexible display in the respective position.

Abstract: A display system comprises a continuous flexible display and two main display supports being hingeably connected with respect to each other between a closed storage position and a planar open position for fixing the flexible display in an open position. Each of the supports is structurally configured to support respectively a first and a second portion of the flexible display, a segment of the flexible display is located between the said respective portions of the flexible display in the open position. The display system comprises a spring force biased mechanism operative in either the open or closed position or both the open and closed positions of the flexible display, biasing said segment of the flexible display in the respective position.