Abstract: Provided is a superconducting tape testing device, including lead contacts and a support plate. Each lead contact a conductive contact and a magnet; the magnet is provided with a through hole through which the conductive contact passes, the support plate comprises a plate and a magnetic conductive member; and the magnetic conductive member is fixed on the surface of the plate body.

Abstract: Provided is a superconducting coil having a spiral structure for a current limiter. The coil includes: a first superconducting tape, a second superconducting tape, and an insulating isolation layer, where the first superconducting tape and the second superconducting tape have spiral structures, an end of the first superconducting tape at a spiral center is connected to an end of the second superconducting tape at the spiral center, the instating isolation laser is filled between the first superconducting tape and the second superconducting tape, and a spacing between the first superconducting tape and the second superconducting tape gradually increases from the spiral center to an outer spiral periphery.

Abstract: A skin layer of a superconducting tape has a woven mesh structure and is disposed on a surface of a superconducting tape. The skin layer of a superconducting tape solves the problem where a vapor layer generated when a superconductor is in a normal resistive state greatly reduces the efficiency of a heat exchange between the superconductor and liquid nitrogen. Further provided are the superconducting tape and a superconducting coil.

Abstract: Provided are a method and apparatus for calculating fault resistance and a current-limiting current of a superconducting fault current limiter.

Abstract: Techniques for generating diverse smart replies using a synonym hierarchy are disclosed herein. A computer system may detect that a first set of one or more messages having first content has been transmitted from a first computing device of a first user to a second computing device of a second user, determine a plurality of candidate replies based on the first content of the first set of one or more messages, and then select a plurality of smart replies from the plurality of candidate replies using a hierarchical graph data structure and at least one diversity rule. The selecting of the plurality of smart replies comprises omitting at least one of the plurality of candidate replies from selection based on the at least one diversity rule, which limits a number of the plurality of smart replies that have a common parent node.

Abstract: A biological sample processing device includes a containing bottle. A receiving opening is provided and a liquid outlet is provided. The device further includes an upper cover assembly and a lower cover. The upper cover assembly is connected to the upper end of the containing bottle. The lower cover is connected to the lower end of the containing bottle. The upper cover assembly includes an upper cover, a lower seal, a piston and a puncturing element. The upper cover is provided with a through hole, and the lower seal is disposed at a lower end of the through hole. The piston is closely matched with an inner wall of the through hole and can slide along the inner wall to drive the puncturing element to pierce the lower seal. The disclosure provides advantages that the biological sample can be processed by the provided device without opening the upper cover.

Abstract: This disclosure provides for systems and methods that generate personalized electronic messages for members of a networked communication service. The personalized electronic messages are generated according to commonalities between member profiles. In one approach, an electronic message template is referenced based on the commonalities. The electronic message template is populated with member profile attribute values selected from the member profiles. In another approach, a long-short term memory (LSTM) recurrent neural network (RNN) is used to generate the electronic messages. Under this approach, a sequence-to-sequence model is trained using previous electronic messages labeled with one or more member profile attributes and/or member profile attribute values. When provided with one or more member profile attribute values associated with matching member profiles, the LSTM RNN outputs a relevant and appropriate electronic message designed to create an interest in the recipient of the electronic message.

Abstract: A method for bonding electrodes of a flip-chip die to corresponding electrical contacts of an encapsulation substrate and a flip chip. The method comprises steps of: S11: applying a first metal layer on the electrode surface of the flip-chip die and the structured surface of the encapsulation substrate as a base layer; S12: transferring, by means of photolithography, a structural pattern of a mask onto the base layer; S13: electroforming metal, according to the transferred structural pattern, to form electrical connections between electrodes of the flip-chip die and the corresponding electrical contacts of an encapsulation substrate; and S14: cutting off undesired electrical connections between different electrodes and between different electrical contacts by removing unnecessary metal areas.

Abstract: Described herein are apparatuses, systems and methods for adaptive downlink scheduling and link adaptation. The methods including, at a base station connected to a user equipment (“UE”), determining an initial modulation and coding scheme (“MCS”) for a plurality of subframes to be transmitted to the UE, wherein each MCS relates to a coding rate value for the subframes, determining an MCS pattern for the plurality of subframes based on the initial MCS, wherein an MCS for one of the subframes has a higher coding rate value than the initial MCS, and transmitting the plurality of subframes to the UE according to the MCS pattern.

Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for a sequence to sequence to classification model for generating recommended messages. A messaging system generates, using a sequence to sequence encoder, an embedding vector from a message being transmitted as part of a communication session, the sequence to sequence encoder having been trained based on historical message data that includes messages transmitted between users of the messaging system. The messaging system determines, based on the embedding vector, a set of candidate responses for replying to the first message, the set of candidate responses being a subset of a set of available responses. The messaging system selects, from the set of candidate responses, a set of recommended responses to the first message, and causes the set of recommended responses to be presented by a client device of a recipient user of the first message.

Abstract: A quadrature clock correction (QCC) circuit includes: a first pair of clock correction circuits that output in-phase and anti-in-phase clock signals, respectively, of a four-phase clock signal; a second pair of clock correction circuits that output quadrature-phase and anti-quadrature-phase clock signals, respectively, of the four-phase clock signal; a detector circuit configured to detect duty cycle error and in-phase/quadrature-phase (IQ) phase mismatch in the four-phase clock signal; and a calibration circuit configured to supply a first pair of control signals to each the first pair of clock correction circuits, and a second pair of control signals to each of the second pair of clock correction circuits, to correct both the duty cycle error and the IQ phase mismatch based output of the detector circuit.

Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for generating recommended responses based on historical data. A messaging system receives a message as part of a communication session between a first client device and a second client device. The message originated from the first client device. The messaging system determines, using the message as input in a statistical model, a set of candidate responses for replying to the message. The statistical model was generated based on historical message data transmitted as part of previous communication sessions between a plurality of client devices. The set of candidate responses is a subset of a set of available candidate responses. The messaging system determines, based on a set of candidate selection rules, a subset of the candidate responses yielding a set of recommended responses to the message, and causes the set of recommended responses to be presented on the second client device.

Abstract: This disclosure provides for systems and methods that generate personalized electronic messages for members of a networked communication service. The personalized electronic messages are generated according to commonalities between member profiles. In one approach, an electronic message template is referenced based on the commonalities. The electronic message template is populated with member profile attribute values selected from the member profiles. In another approach, a long-short term memory (LSTM) recurrent neural network (RNN) is used to generate the electronic messages. Under this approach, a sequence-to-sequence model is trained using previous electronic messages labeled with one or more member profile attributes and/or member profile attribute values. When provided with one or more member profile attribute values associated with matching member profiles, the LSTM RNN outputs a relevant and appropriate electronic message designed to create an interest in the recipient of the electronic message.

Abstract: A data driver includes pre-driver circuitry coupled to a digital-to-analog converter (DAC) via a plurality of bit lines. The pre-driver circuitry is configured to receive a plurality of first voltages corresponding to respective bits of a digital codeword. Each of the first voltages may have one of a first voltage value or a ground potential based on a value of the corresponding bit. The pre-driver circuitry is further configured to drive a plurality of second voltages onto the plurality of bit lines, respectively, by switchably coupling each of the bit lines to ground or a voltage rail based at least in part on the voltage values of the plurality of first voltages. The voltage rail provides a second voltage value that is greater than the first voltage value. The DAC converts the plurality of second voltages to an electrical signal which is an analog representation of the digital codeword.

Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for a sequence to sequence to classification model for generating recommended messages. A messaging system generates, using a sequence to sequence encoder, an embedding vector from a message being transmitted as part of a communication session, the sequence to sequence encoder having been trained based on historical message data that includes messages transmitted between users of the messaging system. The messaging system determines, based on the embedding vector, a set of candidate responses for replying to the first message, the set of candidate responses being a subset of a set of available responses. The messaging system selects, from the set of candidate responses, a set of recommended responses to the first message, and causes the set of recommended responses to be presented by a client device of a recipient user of the first message.

Abstract: Techniques for generating diverse smart replies using a synonym hierarchy are disclosed herein. A computer system may detect that a first set of one or more messages having first content has been transmitted from a first computing device of a first user to a second computing device of a second user, determine a plurality of candidate replies based on the first content of the first set of one or more messages, and then select a plurality of smart replies from the plurality of candidate replies using a hierarchical graph data structure and at least one diversity rule. The selecting of the plurality of smart replies comprises omitting at least one of the plurality of candidate replies from selection based on the at least one diversity rule, which limits a number of the plurality of smart replies that have a common parent node.

Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for generating personalized smart responses. A messaging system receives a message transmitted as part of a communication session between a first user and a second user and determines a set of candidate responses for replying to the message. The messaging system filters the set of candidate responses based on a personalized vocabulary for the first user, yielding a set of personalized candidate responses. The personalized vocabulary for the first user is determined based on member profile data associated with the first user. The messaging system determines, based on a set of personalized candidate selection rules, a subset of the candidate responses, yielding a set of recommended responses to the message, and causes the set of recommended responses to be presented on the second client device.

Abstract: The present disclosure relates to a method and a device for controlling information transmission and a smart terminal. The method includes: receiving an instruction for outputting information sent by a near field communication (NFC) chip, an information output function of the NFC chip being in a disabled state and information to be outputted being in an unavailable state; performing authentication of an identity of a user who triggers the information output; and if it is determined that the authentication of the identity is passed, enabling the information output function of the NFC chip and setting the information to be outputted as in an available state, such that the NFC chip can output the information. In the present disclosure, the information transmission through NFC can be more safe and reliable.

Abstract: Method and system for enriching a knowledge graph are described. The knowledge graph enrichment system provides a way of generating candidates for a new node ready to be folded into the existing graph, and also a new way of connecting nodes via semantic equivalence inferred via the proposed approach. The technical problem of inferring the sematic equivalent entities and relating them automatically in the knowledge graph is addressed by providing the methodology that utilizes neural machine translation via round trip translations through one or more bridging languages. A bridging language is a natural or an artificial morphologically-rich language.

Abstract: The present disclosure discloses a digital-to-analog converter (DAC) design which is suitable for providing a high output power high-speed DAC, e.g., in radio frequency applications. The DAC design utilizes a parallel DAC structure, e.g., having 8 parallel DACs and an aggregate current output, to provide a high and programmable current output (in some implementations, up to 512 mA or more). The parallel DAC structure alleviates the design problems which exist in trying to output a high amount of current using a single DAC. The DAC design further utilizes a hybrid structure which integrates the signal chain for a more reliable system. In some embodiments, the hybrid structure uses a CMOS process for the current sources and switches and a GaAs cascode stage for combining the outputs to optimally leverage the advantages of both technologies. The result is a highly efficient DAC (with peak output power programmable up to 29 dBm or more).