Abstract: The present invention provides a connector includes a housing having a fitting opening for the object to be connected, signal contacts retained in the housing in parallel disposition, a pressure member capable of pressing the signal contacts, and power source contacts. The power source contacts are retained besides the signal contacts, have a thickness dimension larger than that of the signal contacts and are to be pressed by the pressure member together with the signal contacts. The power source contacts include a power source contact with a fixation function, having not only the power source connection function but also a function of temporally fixing the object to be connected at a correct insertion position with respect to the signal contacts as well as a function of clamping and fixing the object to be connected in a state of being pressed by the pressure member.

Abstract: The present invention provides oxide particles having a compositional formula of Pb(ZrxTi1-x)O3, wherein x is 0.46?x?0.6; wherein a size of the particle is from 0.5 to 10 ?m; a porosity of a surface of the particle is 20% or less; and a shape of the particle is any one of a cube, a rectangular parallelepiped, or a truncated octahedron.

Abstract: A transmission device includes: a reception circuit; and a transmission section that is disposed between the reception circuit and a transmission circuit and transmits a clock signal and data signals in parallel, wherein the transmission circuit performs operations of: inserting a predetermined pattern in a data invalid period of each of the data signals; outputting the each of the data signals in which the predetermined pattern has been inserted in synchronization with an input clock; and adjusting a phase of the clock signal in the data invalid period, the reception circuit performs operations of: detecting a state of a reception clock using the data signals in which the predetermined pattern has been inserted; and determining whether phase adjustment of the clock signal is to be performed, based on the state of the reception clock, and the transmission circuit adjusts the phase of the clock signal, based on a determination result.

Abstract: Symbol sequences are estimated using a computer-implemented method including detecting one or more candidates of a target symbol sequence from a speech-to-text data, extracting a related portion of each candidate from the speech-to-text data, detecting repetition of at least a partial sequence of each candidate within the related portion of the corresponding candidate, labeling the detected repetition with a repetition indication, and estimating whether each candidate is the target symbol sequence, using the corresponding related portion including the repetition indication of each of the candidates.

Abstract: Described are topical, transdermal and transmucosal pharmaceutical compositions comprising bremelanotide that include bremelanotide or a pharmaceutically acceptable salt thereof and a permeation enhancer, in any form suitable for topical, transdermal or transmucosal delivery, including transmucosal delivery through the gastrointestinal tract after oral administration. Also provided are methods of making and using the pharmaceutical compositions.

Abstract: Described are compositions, methods and devices for providing sustained transdermal drug delivery using anti-healing compounds to prolong the effects of active transdermal technologies.

Abstract: Embodiments include methods and systems for improving an acoustic model. Aspects include acquiring a first standard deviation value by calculating standard deviation of a feature from first training data and acquiring a second standard deviation value by calculating standard deviation of a feature from second training data acquired in a different environment from an environment of the first training data. Aspects also include creating a feature adapted to an environment where the first training data is recorded, by multiplying the feature acquired from the second training data by a ratio obtained by dividing the first standard deviation value by the second standard deviation value. Aspects further include reconstructing an acoustic model constructed using training data acquired in the same environment as the environment of the first training data using the feature adapted to the environment where the first training data is recorded.

Abstract: Embodiments include methods and systems for improving an acoustic model. Aspects include acquiring a first standard deviation value by calculating standard deviation of a feature from first training data and acquiring a second standard deviation value by calculating standard deviation of a feature from second training data acquired in a different environment from an environment of the first training data. Aspects also include creating a feature adapted to an environment where the first training data is recorded, by multiplying the feature acquired from the second training data by a ratio obtained by dividing the first standard deviation value by the second standard deviation value. Aspects further include reconstructing an acoustic model constructed using training data acquired in the same environment as the environment of the first training data using the feature adapted to the environment where the first training data is recorded.

Abstract: A semiconductor film includes a cluster of semiconductor quantum dots each having a metal atom and ligands coordinating to respective semiconductor quantum dots, and the semiconductor quantum dots have an average shortest inter-dot distance of less than 0.45 nm. A solar cell, a light-emitting diode, a thin film transistor, and an electronic device include the semiconductor film.

Abstract: A transmission device includes: a reception circuit; and a transmission section that is disposed between the reception circuit and a transmission circuit and transmits a clock signal and data signals in parallel, wherein the transmission circuit performs operations of: inserting a predetermined pattern in a data invalid period of each of the data signals; outputting the each of the data signals in which the predetermined pattern has been inserted in synchronization with an input clock; and adjusting a phase of the clock signal in the data invalid period, the reception circuit performs operations of: detecting a state of a reception clock using the data signals in which the predetermined pattern has been inserted; and determining whether phase adjustment of the clock signal is to be performed, based on the state of the reception clock, and the transmission circuit adjusts the phase of the clock signal, based on a determination result.

Abstract: A connector includes a required number of contacts, an electrical insulation housing and a metallic shell. A tab is formed in the connector. A pressure receiving portion of the tab is pushed by a pushing portion of the shell to move the pressure receiving portion toward a mounting face of a substrate for applying a force in the insertion of FPC but not applying a force to the tab in the detaching thereof, whereby an engaging portion of the tab is moved in a direction opposing to the mounting face of the substrate to unfasten the engaging portion from an locking portion of the FPC.

Abstract: A method for transferring acoustic knowledge of a trained acoustic model (AM) to a neural network (NN) includes reading, into memory, the NN and the AM, the AM being trained with target domain data, and a set of training data including a set of phoneme data, the set of training data being data obtained from a domain different from a target domain for the target domain data, inputting training data from the set of training data into the AM, calculating one or more posterior probabilities of context-dependent states corresponding to phonemes in a phoneme class of a phoneme to which each frame in the training data belongs, and generating a posterior probability vector from the one or more posterior probabilities, as a soft label for the NN, and inputting the training data into the NN and updating the NN, using the soft label.

Abstract: A method and system are provided for training word embedding of domain-specific words. The method includes training, by a processor, a first word embedding, using a general domain corpus, on one or more terms inputted by a user. The method further includes retraining, by the processor, the first word embedding, using a specific domain corpus, for a Neuro-Linguistic Programming task, to create a tuned word embedding. The method also includes training, by the processor, a Neural Network for the Neuro-Linguistic Programming task, using the specific domain corpus. The method additionally includes incorporating, by the processor, the trained Neural Network and tuned word embedding into a Neural Network-based Neuro-Linguistic Programming task. The retraining of the first word embedding and the training of the Neural Network are performed together, and the tuned word embedding is accelerated due to a change in a hyper parameter for domain-specific words.

Abstract: A method and system are provided. The method includes obtaining, by a hardware processor, candidate data representing a plurality of candidates. The method further includes calculating, by the hardware processor, for each of the candidates, a temporal next state of a Recurrent Neural Network (RNN) by inputting a corresponding one of the candidates to the RNN at a current state. The method also includes merging, by the hardware processor, the temporal next state for each of the candidates to obtain the temporal next state of the RNN.

Abstract: Methods and a system are provided for estimating automatic speech recognition (ASR) accuracy. A method includes obtaining transcriptions of utterances in a conversation over two channels. The method further includes sorting the transcriptions along a time axis using a forced alignment. The method also includes training a language model with the sorted transcriptions. The method additionally includes performing ASR for utterances in a conversation between a first user and a second user. The second user is a target of ASR accuracy estimation. The method further includes determining whether an ASR result of the second user is consistent or inconsistent with an ASR result of the first user using the trained language model. The method also includes estimating the ASR result of the second user as poor responsive to the ASR result of the second user being as inconsistent with the ASR result of the first user.

Abstract: An object is to avoid the situation in which the power cannot be turned off. A control system is provided in which the first and second control units are connected. At least one of the first and second control units include: a stop control section for, if a condition for ending a predetermined operation mode is satisfied in that operation mode, performing stop control for having the control system in a low-power-consumption state while communicating with the other control unit; and a mode control section for having a mode undefined state in which the operation mode is instable at restoration from a reset state and for allowing, if a predetermined transition condition for allowing transition into the operation mode is satisfied in the mode undefined state, transition into the operation mode whose transition condition has been satisfied.

Abstract: Embodiments include methods and systems for improving an acoustic model. Aspects include acquiring a first standard deviation value by calculating standard deviation of a feature from first training data and acquiring a second standard deviation value by calculating standard deviation of a feature from second training data acquired in a different environment from an environment of the first training data. Aspects also include creating a feature adapted to an environment where the first training data is recorded, by multiplying the feature acquired from the second training data by a ratio obtained by dividing the first standard deviation value by the second standard deviation value. Aspects further include reconstructing an acoustic model constructed using training data acquired in the same environment as the environment of the first training data using the feature adapted to the environment where the first training data is recorded.

Abstract: Embodiments include methods and systems for improving an acoustic model. Aspects include acquiring a first standard deviation value by calculating standard deviation of a feature from first training data and acquiring a second standard deviation value by calculating standard deviation of a feature from second training data acquired in a different environment from an environment of the first training data. Aspects also include creating a feature adapted to an environment where the first training data is recorded, by multiplying the feature acquired from the second training data by a ratio obtained by dividing the first standard deviation value by the second standard deviation value. Aspects further include reconstructing an acoustic model constructed using training data acquired in the same environment as the environment of the first training data using the feature adapted to the environment where the first training data is recorded.

Abstract: Methods and a system are provided for estimating automatic speech recognition (ASR) accuracy. A method includes obtaining transcriptions of utterances in a conversation over two channels. The method further includes sorting the transcriptions along a time axis using a forced alignment. The method also includes training a language model with the sorted transcriptions. The method additionally includes performing ASR for utterances in a conversation between a first user and a second user. The second user is a target of ASR accuracy estimation. The method further includes determining whether an ASR result of the second user is consistent or inconsistent with an ASR result of the first user using the trained language model. The method also includes estimating the ASR result of the second user as poor responsive to the ASR result of the second user being as inconsistent with the ASR result of the first user.

Abstract: Provided is a lead-free solder alloy that has excellent tensile strength and ductility, does not deform after heat cycles, and does not crack. The In and Bi content are optimized and the Sb and Ni content are adjusted. As a result, this solder alloy has an alloy composition including, by mass, 1.0 to 7.0% of In, 1.5 to 5.5% of Bi, 1.0 to 4.0% of Ag, 0.01 to 0.2% of Ni, and 0.01 to 0.15% of Sb, with the remainder made up by Sn.