Abstract: The current invention relates to recombinant vectors for high protein expression. More particularly, it relates to recombinant vector having promoter sequence and terminator sequence for constitutive expression of homologous and heterologous proteins wherein the promoter sequence is selected from the group consisting of SEQ ID NO: 1 and SEQ ID NO: 2 and terminator sequence having sequence selected from the group consisting of SEQ ID NO: 3 and SEQ ID NO: 4.

Abstract: Live video streams are produced using a network server system. The network server system initially receives, via a network, one or more captured video streams that are live streams captured from a remotely-located camera, phone or the like. The captured streams are forwarded to a control device via the network to thereby permit a user of the control device to select one of the captured video streams for output to the video production stream. In response to a command received from the control device that indicates the selected capture stream, the selected capture video stream is encoded for output as the video production stream.

Abstract: A solution for allocating N radio beam configurations to access nodes including, in some embodiments, a method comprising storing a beam library defining a set of radio beam configurations for a coverage area. A coverage area is divided into sub-areas, and a set of channel quality metrics is collected, as is a traffic density parameter for each sub-area. The following steps are performed: selecting N radio beam configurations from the set of radio beam configurations; mapping each sub-area with one of the selected N radio beam configurations; computing a service performance for the selected N radio beam configurations; the service performance is weighted by the traffic density parameters. The service performance are stored as linked to each radio beam configuration of the selected N radio beam configurations. Based on the stored service performances, a set of N radio beam configurations is selected and the N radio beam configurations are allocated.

Abstract: A system, method, and computer program product for providing personalized coordinated shopping among multiple participants in a network marketplace. Social group interactions are extended to shopping, to enhance the scope and efficiency of commerce. A shopping group comprising selected members of a social group includes an authorized purchaser and a number of shoppers who are not authorized to make purchases. A non-authorized purchaser selects desired items and sends a purchase approval request to the authorized purchaser, including a personalized video message describing and supporting the request. The personalized video message is sent to the authorized purchaser by communication means selected according to determined current availability, including via review of a social calendar. The authorized purchaser may approve, decline, or request further information from the requester, upon reviewing the purchase request.

Abstract: A solution for allocating N radio beam configurations to access nodes including, in some embodiments, a method comprising storing a beam library defining a set of radio beam configurations for a coverage area. A coverage area is divided into sub-areas, and a set of channel quality metrics is collected, as is a traffic density parameter for each sub-area. The following steps are performed: selecting N radio beam configurations from the set of radio beam configurations; mapping each sub-area with one of the selected N radio beam configurations; computing a service performance for the selected N radio beam configurations; the service performance is weighted by the traffic density parameters. The service performance are stored as linked to each radio beam configuration of the selected N radio beam configurations. Based on the stored service performances, a set of N radio beam configurations is selected and the N radio beam configurations are allocated.

Abstract: The present invention relates to a mutant fungal strain of Penicillium funiculosum ‘MRJ-16’ characterized by the ability to produce high titer of enzyme mixture comprising FPase, CMCase, Cellobiase, ?-glucosidase, endoglucanase, ?-L arabinofuranosidase, ?-xylosidase, xylanase, pectinase, cellobiohydrase and oxidases and produce enzymes in the presence of a catabolite repressor molecule like glucose and/or xylose. The titer of enzyme mixture produced using mutant fungal strain MRJ-16 is at least two fold higher than naive Penicillium funiculosum strain NCIM 1228, when used in a fermentation process. The mutant strain ‘MRJ-16’ with high hydrolytic activity and catabolite derepressed character is having application in the method of degrading or saccharifying biomass to produce valuable products for example-bioethanol.

Abstract: In an example embodiment, a fully automated process is provided for frequent model retraining and redeployment of a machine learned model trained to output a prediction of how likely it is that a candidate is qualified for a particular job posting. Model quality verification is provided by maintaining a snapshot of a baseline model and automatically comparing it to a proposed model by performing various metrics on the models by testing the models using a holdout data set that includes only data that was not used during the training process. Overlap between data in the holdout set used during retraining and the training set used during initial training is prevented by splitting each dataset using a hash on certain fields of the data.

Abstract: A method for preparation of a self-cleaning coating solution is provided. The method comprises mixing an aluminium compound with a solution of an ethanol compound to form a solution. Further, the formed solution is subjected to a first magnetic stirring. After the first magnetic stirring a first transparent solution is formed. Further, a stabilizing agent is added to the first transparent solution of the aluminium compound and the ethanol compound. Subsequent to adding the stabilizing agent a translucent solution is formed. Finally, the formed translucent solution is subjected to a second magnetic stirring for forming a homogeneous second transparent solution.

Abstract: Various embodiments are directed to processing and executing digital asset conversions for real-time funding of a merchant transaction involving an end user. The user may pre-select digital assets to be converted to fiat currency, and a pre-selected digital asset can be internally-custodied or externally-custodied. An example method includes retrieving a first account balance data object for a fiat currency account. The method further includes, responsive to a balance of the fiat currency user account not satisfying a fiat currency unit threshold of a merchant transaction: receiving a second account balance data object for a digital asset account in response to transmitting an account query, determining a conversion rate for a digital asset, and executing a digital asset conversion by causing a debit of digital asset units from the digital asset account via transmitting a conversion execution API query and by crediting fiat currency units to the fiat currency account.

Abstract: Various embodiments are directed to processing and executing digital asset conversions for real-time funding of a merchant transaction involving a user. The user may pre-select digital assets to be converted to fiat currency, and a pre-selected digital asset can be internally-custodied or externally-custodied. An example method includes retrieving a first account balance data object for a fiat currency account associated with the user. The method further includes, responsive to determining that a balance of the fiat currency user account does not satisfy a fiat currency unit threshold of a merchant transaction, retrieving a second account balance data object for a digital asset account associated with the user, determining a conversion rate between a digital asset and a fiat currency, and executing a digital asset conversion by closed-loop debiting digital asset units from the digital asset account and crediting fiat currency units to the fiat currency account.

Abstract: Various embodiments are directed to providing digital asset conversion choices involving different digital assets. An example method includes receiving a first digital asset conversion request associated with an end user and indicating a source digital asset and determining a source conversion rate for the source digital asset using an application programming interface (API).

Abstract: A multiband sensing system includes an active multiband sensing unit configured to transmit a radio frequency (RF) signal in multiple bands and communicate with a network. The active multiband sensing unit includes at least one transmitting antenna configured to transmit the RF signal. The multiband sensing system includes a passive multiband sensing unit including at least one receiving antenna configured to receive the RF signal, an acoustic actuator powered by the received RF signal including an actuating sensor element configured to actuate in response to receiving extracted modulated information of the RF signal, and an acoustic detector. The acoustic detector includes a detector transmitting antenna configured to backscatter a new frequency band signal to the active multiband sensing unit and a detector sensor element configured to sense data. The sensed data is modulated over the received RF signal to produce the new frequency band signal.

Abstract: In an embodiment, the disclosed technologies include determining a digital identifier, computing, using aggregate digital event data obtained from at least one computing device, digital feature data relating to the digital identifier, inputting the digital feature data relating to the digital identifier into a digital model that has machine-learned correlations between digital feature data and digital propensity prediction values, receiving, from the digital model, a predicted propensity value associated with the digital identifier, determining a propensity score based on the predicted propensity value, causing a digital content item to be displayed on a user interface of a network-based software application associated with the digital identifier if the propensity score satisfies a propensity criterion.

Abstract: Methods, systems, and computer-readable media are disclosed herein for intelligent service request analysis and remedy. In an aspect, a service request related to a computer system is received. Once received, natural language processing is conducted to determine at least one key term associated with the at least one service request. A machine learning algorithm is then used to determine at least one classification group for the at least one service request, wherein the classification group is associated with the remedy. A rate of success is determined for the determined remedy for the classification group. Based on the rate of success exceeding a predetermined threshold, cause the remedy to be implemented in the computer system.

Abstract: Various embodiments are directed to processing and executing digital asset transfers between two users. An example method includes receiving a data object defining a digital asset transfer, and the data object may be a query from the first user to initiate an outbound transfer to a second user or an approval of a request for digital asset units from the second user. The method further includes retrieving account balance data objects associated with the digital asset accounts for the first and second users. The method further includes, responsive to determining that the digital asset transfer satisfies one or more transfer conditions, executing the digital asset transfer by executing a closed-loop debit from the first user and executing a closed-loop credit to the second user. The method further includes updating the account balance data object to reflect the resulting balances of each digital asset account.

Abstract: Various embodiments of the present disclosure are generally directed to processing conversions of digital assets to fiat currency. An example method includes obtaining a conversion rate for a digital asset via an API, providing the conversion rate via a client device, receiving a digital asset conversion request and executing a digital asset conversion within a configurable time period. Executing the digital asset conversion includes causing digital asset units to be debited from the digital asset user account and causing fiat currency units to be credited to a fiat currency user account. The method further includes dynamically providing a notification of execution of the digital asset conversion via the client device, updating account balance data objects associated with the digital asset user account and the fiat currency user account, and subsequent to executing the digital asset conversion, executing a fiat currency transaction (e.g., a settlement) with a digital asset exchange system.

Abstract: Various embodiments are directed to processing conversions of digital assets to other digital assets. An example method includes determining a source exchange rate for a source digital asset and a fiat currency, determining a target exchange rate for a target digital asset and a fiat currency, and generating an aggregated conversion rate for the source digital asset and the target digital asset using the source exchange rate and the target exchange rate. The method further includes executing a digital asset conversion, which includes causing source digital asset units to be debited from a source digital asset user account and causing target digital asset units to be credited to a target digital asset user account, and subsequently executing fiat currency transactions (e.g., settlements) with a first digital asset exchange system associated with the source digital asset and a second digital asset exchange system associated with the target digital asset.

Abstract: Various embodiments are directed to processing and executing digital asset transfers between two users. An example method includes receiving a data object defining a digital asset transfer, and the data object may be a query from the first user to initiate an outbound transfer to a second user or an approval of a request for digital asset units from the second user. The method further includes receiving account data for the first and second users via application programming interface (API) communication with an external system, and responsive to determining that transfer conditions are satisfied, executing the digital asset transfer by causing the external system to debit digital asset units from the first user and to credit digital asset units to the second user via API communication with the external system. The method further includes updating the account data to reflect account balances resulting from the debit and the credit.

Abstract: Live video streams are produced using a network server system. The network server system initially receives, via a network, one or more captured video streams that are live streams captured from a remotely-located camera, phone or the like. The captured streams are forwarded to a control device via the network to thereby permit a user of the control device to select one of the captured video streams for output to the video production stream. In response to a command received from the control device that indicates the selected capture stream, the selected capture video streams is encoded for output as the video production stream.

Abstract: A method and an apparatus for processing audio commands includes receiving an audio command from a user, determining that a proper response to the audio command is unavailable in a first assistant device based on analyzing the audio command, transmitting the audio command to at least one second assistant device, and receiving at least one response to the audio command from the at least one second assistant device.