Abstract: A computing system may normalize messages by parsing, extracting attachments, masking data, and storing queued records. A non-transitory computer-readable medium may store instructions that normalize messages by parsing, masking, and queueing. A computer-implemented method may normalize messages by parsing content, extracting records, rewriting links, and masking data.

Abstract: A machine learning task automation method includes receiving a message, preprocessing the message to generate extracted data, analyzing the extracted data to generate classification data, analyzing the extracted data to generate information extraction; and generating and transmitting a response. A computing system includes a processor, and a memory including instructions that, when executed, cause the computing system to receive a message, preprocess the message to generate extracted data, analyze the extracted data to generate classification data, analyze the extracted data to generate information extraction data; and generate and transmit a response. A non-transitory computer readable medium containing program instructions that when executed, cause a computer to receive a message, preprocess the message to generate extracted data, analyze the extracted data to generate classification data, analyze the extracted data to generate information extraction data; and generate and transmit a response.

Abstract: Provided is a method for automatically annotating an obstacle, an electronic device and a storage medium, relating to the field of artificial intelligence technology, and in particular, to technologies fields of autonomous driving, neural network, deep learning and the like. The method includes: optimizing a target parameter in a projection relationship based on a re-projection error, the projection relationship is used to project a target obstacle from a reference frame onto a frame to be optimized, and satisfies a constraint in which positions of the target obstacle in different frames are consistent in an obstacle coordinate system established according to the target obstacle; and determining a target pose of the target obstacle based on the optimized target parameter.

Abstract: An account manager virtual assistant computing system includes a processor and a memory storing instructions that when executed cause the system to receive a message, process the message using a quote classification machine learning model, generate a response including price information, and process the message using an information extraction machine deep learning model; and transmit the response. A non-transitory computer readable medium includes program instructions that when executed cause a computer to receive a message, process the message using a quote classification machine learning model, generate a response including price information, and process the message using an information extraction machine deep learning model; and transmit the response.

Abstract: A positioning and rescue device for an unmanned underwater vehicle, comprising a battery (1), a switch (2), a protective resistor (3), an electromagnetic relay (4), a master control chip (5), a GPS positioning system (6), an igniter (7), a partition (8), an air bag (9), a shell (10), and a rope (11). The battery (1), the switch (2), the protective resistor (3), the electromagnetic relay (4) and the master control chip (5) are sequentially connected by means of wires to form a series circuit, and the igniter (7) and the GPS positioning system (6) are separately connected to the master control chip (5) by means of wires; two normally open contacts of a control loop of the electromagnetic relay (4) are respectively connected to two ends of a general power supply (15).

Abstract: In an example method for detecting indole, an indole producing bacterium, or an indole producing chemical, a polymeric detection tool is exposed to a sample and the polymeric detection tool is monitored for a red color change. The polymeric detection tool includes an acidic and oxygen soluble polymer and a nitrosation agent impregnated in walls of the acidic and oxygen soluble polymer. This example method can be used for detecting an indole producing bacterium in a body fluid sample.

Abstract: A rolling curtain includes a rolling tube, a curtain body, a first power component, and a second power component. The rolling tube has a first end and a second end opposite to the first end. The curtain body is wound around the rolling tube, the first power component is located at the first end of rolling tube, and the first power component has a motor and a transmission component, the transmission component is connected to the rolling tube and rotating with rolling tube. The second power component is located at the second end, and includes at least one power module connected to the rolling tube and rotating coaxially with the rolling tube, the power module includes a module chamber, a connecting rod, and at least one spring member, with an inner end of the spring member connected to the connecting rod and an outer end connected to the module chamber.

Abstract: A rolling curtain includes a rolling tube, a curtain body, a first power component, and a second power component. The rolling tube has a first end and a second end opposite to the first end. The curtain body is wound around the rolling tube, the first power component is located at the first end of rolling tube, and the first power component has a motor and a transmission component, the transmission component is connected to the rolling tube and rotating with rolling tube. The second power component is located at the second end, and includes at least one power module connected to the rolling tube and rotating coaxially with the rolling tube, the power module includes a module chamber, a connecting rod, and at least one spring member, with an inner end of the spring member connected to the connecting rod and an outer end connected to the module chamber.

Abstract: A method includes: obtaining a push content request from an object; determining a push content set according to the push content request; detecting historical behavior feature data of the object for a push content in response to a behavior feature of the object for the push content satisfying a preset negative behavior condition; performing content-based matching for the push content set based on the historical behavior feature data to obtain a target push content set of the object; performing content sorting of the push content set and performing content-based matching of the push content of the object to obtain a target push content set of the object; and determining a target push content of the object from the target push content set, and transmitting the target push content to the object.

Abstract: Provided herein is technology relating to molecular biological manipulation of genes and genomes and particularly, but not exclusively, to CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats) methods, compositions, systems, and kits for improved genetic editing.

Abstract: A method includes: obtaining a push content request from an object; determining a push content set according to the push content request; detecting historical behavior feature data of the object for a push content in response to a behavior feature of the object for the push content satisfying a preset negative behavior condition; performing content-based matching for the push content set based on the historical behavior feature data to obtain a target push content set of the object; performing content sorting of the push content set and performing content-based matching of the push content of the object to obtain a target push content set of the object; and determining a target push content of the object from the target push content set, and transmitting the target push content to the object.

Abstract: Provided is a genetically modified non-human mammal that comprises an anchor DNA sequence inserted at an endogenous locus of a secretory milk protein gene, wherein the anchor DNA sequence comprises a site-specific recombinase recognition site. Also provided is a genetically modified non-human mammal that comprises a transgene inserted at an endogenous locus of a secretory milk protein gene, wherein the transgene encodes a secretory protein and is operably linked to the endogenous promoter of said secretory milk protein gene, and wherein the transgene is flanked by a pair of site-specific recombinase resulting sites. The genetically modified non-human mammals provided can be used for producing the secreted recombinant protein encoded by the transgene from the milk produced by the genetically modified non-human mammals.

Abstract: A positioning and rescue device for an unmanned underwater vehicle, comprising a battery (1), a switch (2), a protective resistor (3), an electromagnetic relay (4), a master control chip (5), a GPS positioning system (6), an igniter (7), a partition (8), an air bag (9), a shell (10), and a rope (11). The battery (1), the switch (2), the protective resistor (3), the electromagnetic relay (4) and the master control chip (5) are sequentially connected by means of wires to form a series circuit, and the igniter (7) and the GPS positioning system (6) are separately connected to the master control chip (5) by means of wires; two normally open contacts of a control loop of the electromagnetic relay (4) are respectively connected to two ends of a general power supply (15).

Abstract: This invention is in the field of medicinal pharmacology. In particular, the present invention relates to pharmaceutical agents which function as inhibitors of sodium-glucose cotransporter (SGLT) activity. The invention further relates to methods of treating and/or ameliorating symptoms related to cystic fibrosis (CF), comprising administering to a subject (e.g., a human patient) a composition comprising one or more pharmaceutical agents which function as inhibitors of SGLT activity.

Abstract: A method for machine learning-based account manager virtual assistant staging includes receiving a message and a classification, generating a staging record, generating a status using staging rules, generating an order when the message classification is order and the status is complete, and transmitting the order. An account manager virtual assistant staging system includes a processor and a memory storing instructions that cause the system to receive a message and a classification, generate a staging record, generate a status using staging rules, generate an order when the message classification is order and the status is complete, and transmit the order. A non-transitory computer readable medium contains program instructions that when executed, cause a computer to receive a message and a classification, generate a staging record, generate a status using staging rules, generate an order when the message classification is order and the status is complete, and transmit the order.

Abstract: A transformer simulation system and a measurement method for setting value simulation are disclosed. The transformer simulation system includes an oil tank, a heating device, a pump body, a first oil pipe, a second oil pipe and a first flow sensor. The heating device is disposed in the oil tank. The oil tank is provided with a first inlet and a first outlet, the first outlet is connected to the first oil pipe, and the first inlet is connected to the second oil pipe. An end of the first oil pipe away from the oil tank is a first mounting end for being connected to an oil inlet of a gas relay, and an end of the second oil pipe away from the oil tank is a second mounting end for being connected to an oil outlet of the gas relay. The pump body is connected to the first oil pipe or the second oil pipe, and the first flow sensor is disposed in the first oil pipe.

Abstract: A transformer simulation system and a measurement method for setting value simulation are disclosed. The transformer simulation system includes an oil tank, a heating device, a pump body, a first oil pipe, a second oil pipe and a first flow sensor. The heating device is disposed in the oil tank. The oil tank is provided with a first inlet and a first outlet, the first outlet is connected to the first oil pipe, and the first inlet is connected to the second oil pipe. An end of the first oil pipe away from the oil tank is a first mounting end for being connected to an oil inlet of a gas relay, and an end of the second oil pipe away from the oil tank is a second mounting end for being connected to an oil outlet of the gas relay. The pump body is connected to the first oil pipe or the second oil pipe, and the first flow sensor is disposed in the first oil pipe.

Abstract: An account manager virtual assistant computing system includes a processor and a memory storing instructions that when executed cause the system to receive a message, process the message using a quote classification machine learning model, generate a response including price information, and process the message using an information extraction machine deep learning model; and transmit the response. A non-transitory computer readable medium includes program instructions that when executed cause a computer to receive a message, process the message using a quote classification machine learning model, generate a response including price information, and process the message using an information extraction machine deep learning model; and transmit the response.

Abstract: A machine learning task automation method includes receiving a message, preprocessing the message to generate extracted data, analyzing the extracted data to generate classification data, analyzing the extracted data to generate information extraction; and generating and transmitting a response. A computing system includes a processor, and a memory including instructions that, when executed, cause the computing system to receive a message, preprocess the message to generate extracted data, analyze the extracted data to generate classification data, analyze the extracted data to generate information extraction data; and generate and transmit a response. A non-transitory computer readable medium containing program instructions that when executed, cause a computer to receive a message, preprocess the message to generate extracted data, analyze the extracted data to generate classification data, analyze the extracted data to generate information extraction data; and generate and transmit a response.

Abstract: A method for machine learning-based account manager virtual assistant message processing includes receiving a message of a user, preprocessing the message to generate a normalized data set, analyzing the normalized data using a classification machine learning model, analyzing the normalized data using a deep learning machine learning model, generating a response based on the output of the first and second machine learning models, and transmitting the response to the user. An account manager virtual assistant computing system includes a processor and a memory storing instructions that cause the account manager virtual assistant system to receive a message from a user, process the message using a first machine learning model, process the message using a second machine learning model, when the message is a request for quote, generate a response and transmit the response to the user.