Abstract: Provided is a breeding apparatus that can facilitate disposition and collection of a spawning bed. A breeding apparatus includes a breeding area forming member that forms breeding areas for organisms and is open at least at the bottoms of the breeding areas, and a spawning bed sheet that forms the bottom surfaces of the breeding areas, has a belt shape, and is provided so as to be movable in a longitudinal direction of the belt shape relative to the breeding area forming member.

Abstract: A substrate processing apparatus includes; a carrier block; a first processing block including first lower and upper processing blocks to deliver a substrate to and from the carrier block; a second processing block including second lower and upper processing blocks provided adjacent to the first lower and upper processing blocks; a relay block including a lifting and transferring mechanism that delivers the substrate between the second lower and upper processing blocks; a controller that controls an operation of each main transfer mechanism such that one of upper and lower processing blocks forms an outward path through which the substrate is transferred from the carrier block to the relay block and the other forms a return path through which the substrate is transferred from the relay block to the carrier block; and a bypass transfer mechanism provided for each of the first and second processing blocks.

Abstract: A method includes generating a base model by training with a first dataset of data pairs and generating an adapted model by training the base model on a second dataset of data pairs. The method also includes determining a contrastive score for each data pair of a third dataset of data pairs using the base model and the adapted model. The contrastive score is indicative of a probability of quality of the respective data pair. The method also includes training a target model using the data pairs of the third dataset and the contrastive scores.

Abstract: A method includes generating a base model by training with a first dataset of data pairs and generating an adapted model by training the base model on a second dataset of data pairs. The method also includes determining a contrastive score for each data pair of a third dataset of data pairs using the base model and the adapted model. The contrastive score is indicative of a probability of quality of the respective data pair. The method also includes training a target model using the data pairs of the third dataset and the contrastive scores.

Abstract: A boarding intention determination device according to the present application includes an acquisition unit and a determination unit. The acquisition unit acquires a positional relationship between boarding position information representing a boarding spot for boarding a mobile object and user position information representing a current position of a user. The determination unit determines whether the user has an intention to board the mobile object based on the positional relationship that is acquired by the acquisition unit and behavior information representing behaviors of the user.

Abstract: The driving unit includes: a first contact portion and a second contact portion that move relatively to each other while making contact with each other during driving; in which the second contact portion includes a coating layer at a contact face with the first contact portion, and the first contact portion and the second contact portion generate heat along with relative movement to vaporize a worn-away part of the coating layer.

Abstract: The driving unit includes: a first contact portion and a second contact portion that move relatively to each other while making contact with each other during driving; in which the second contact portion includes a coating layer at a contact face with the first contact portion, and the first contact portion and the second contact portion generate heat along with relative movement to vaporize a worn-away part of the coating layer.

Abstract: An information processing apparatus according to the present application includes an acquiring unit and a notification unit. The acquiring unit acquires riding position information related to a position of a virtual riding point that corresponds to a riding point that is used to ride in a moving vehicle and that is virtual set. The notification unit notifies, when a user satisfies condition information that indicates a condition related to behavior of the user approaching the virtual riding point, the user of the information related to the position indicated by the riding position information.

Abstract: An information processing apparatus according to the present application includes an acquiring unit and a notification unit. The acquiring unit acquires riding position information related to a position of a virtual riding point that corresponds to a riding point that is used to ride in a moving vehicle and that is virtual set. The notification unit notifies, when a user satisfies condition information that indicates a condition related to behavior of the user approaching the virtual riding point, the user of the information related to the position indicated by the riding position information.

Abstract: A high-display-quality liquid crystal display device, which produces neither flicker nor crosstalk and does not have the risk of causing defective line display even in polarity inversion driving, is implemented. A signal-line drive circuit included in a liquid crystal display device inverts the polarities of data signals, which are applied to selected pixels selected in a certain field, in such a manner that the inversion is performed in the direction along each data signal line by using a corresponding different number of selected pixels as a unit.

Abstract: A method includes generating a base model by training with a first dataset of data pairs and generating an adapted model by training the base model on a second dataset of data pairs. The method also includes determining a contrastive score for each data pair of a third dataset of data pairs using the base model and the adapted model. The contrastive score is indicative of a probability of quality of the respective data pair. The method also includes training a target model using the data pairs of the third dataset and the contrastive scores.

Abstract: An information processing apparatus according to the present application includes an acquiring unit and a notification unit. The acquiring unit acquires riding position information related to a position of a virtual riding point that corresponds to a riding point that is used to ride in a moving vehicle and that is virtual set. The notification unit notifies, when a user satisfies condition information that indicates a condition related to behavior of the user approaching the virtual riding point, the user of the information related to the position indicated by the riding position information.

Abstract: An information processing apparatus according to the present application includes a specifying unit and a deciding unit. The specifying unit specifies a placement available position that is a position in which a virtual riding point that corresponds to a riding point that is used to ride in a moving vehicle and that is virtually set can be placed. The deciding unit decides, based on the placement available position specified by the specifying unit, the placement position in which the virtual riding point is placed.

Abstract: A boarding intention determination device according to the present application includes an acquisition unit and a determination unit. The acquisition unit acquires a positional relationship between boarding position information representing a boarding spot for boarding a mobile object and user position information representing a current position of a user. The determination unit determines whether the user has an intention to board the mobile object based on the positional relationship that is acquired by the acquisition unit and behavior information representing behaviors of the user.

Abstract: [Object] An object is to provide an apparatus for attaining highly precise word alignment. [Solution] The apparatus includes: selecting means receiving a bilingual sentence pair and a word alignment for the bilingual sentence pair, for successively selecting words fj of a sentence in a first language in a prescribed order; and a recurrent neural network (RNN) 100, computing, for all words of the sentence in the first language, a score 102 representing a probability that a word pair consisting of the word fj and a word ea_{j} aligned with the word fj by a word alignment aj in a second language of the bilingual sentence pair is a correct word pair, and based on this score, for computing a score of the word alignment aj. When computing a score of word pair (fj, ea_{j}), RNN 100 computes a score 102 of the word pair (fj, ea_{j}) based on all word alignments a1j-1 selected by the selecting means prior to the word fj of the word pair (fj, ea_{j}), of the word alignments aj, by means of a recurrent connection 118.

Abstract: There is provided a steam power cycle system in which steam power cycles using pure materials as a working fluid is used in a multiple stage to reduce pressure loss in the flow channels in the respective heat exchanger so that the fluid serving as heat sources has been caused to make an effective heat exchange with the working fluid. More specifically, not only that the respective flow channels for the fluid serving as heat sources in the evaporator and the condenser in the respective steam power cycle units are connected in series to each other, but the evaporator and the condenser comprise a cross-flow type heat exchanger and are arranged respectively in a flowing direction of the fluid serving as heat source. Consequently, it is possible to reduce the length of the flow channels to the minimum necessary, simplify the flow channel structure, and reduce the pressure loss.

Abstract: [Object] An object is to provide an apparatus for attaining highly precise word alignment. [Solution] The apparatus includes: selecting means receiving a bilingual sentence pair and a word alignment for the bilingual sentence pair, for successively selecting words fj of a sentence in a first language in a prescribed order; and a recurrent neural network (RNN) 100, computing, for all words of the sentence in the first language, a score 102 representing a probability that a word pair consisting of the word fj and a word ea_{j} aligned with the word fj by a word alignment aj in a second language of the bilingual sentence pair is a correct word pair, and based on this score, for computing a score of the word alignment aj. When computing a score of word pair (fj, ea_{j}), RNN 100 computes a score 102 of the word pair (fj, ea_{j}) based on all word alignments a1j-1 selected by the selecting means prior to the word fj of the word pair (fj, ea_{j}), of the word alignments aj, by means of a recurrent connection 118.

Abstract: In order to solve a problem that, in the case of using a neural network that non-linearly links features, scores of translation candidates have to be calculated again during search, which requires an inordinate amount of effort, a translation apparatus includes: a parameter storage unit in which a first weight vector that is applied to a non-local feature function and a second weight vector that is applied to a local feature function can be stored; a feature function information storage unit in which non-local first feature function information and local second feature function information can be stored; a portion pair information storage unit in which two or more pieces of portion pair information such as a phrase pair or a rule pair can be stored; a score acquiring unit that acquires scores of two or more target language sentences by introducing a non-linear model to units of a phrase pair, a rule pair, or the like, and limiting the non-linear model to features closed to a phrase pair or a rule pair; a targ

Abstract: In order to solve a conventional problem that a translation model has to be updated each time a translation corpus is added, in a case of calculating a score of each phrase pair acquired from a j-th translation corpus (2?j?N) (added translation corpus), a score of each phrase pair corresponding to the j-th translation corpus is calculated using the one or more pieces of phrase appearance frequency information corresponding to a (j?1)-th translation corpus, the calculated score is used to generate a translation model, and the newly generated translation model is used in a state of being integrated to an original translation model. Accordingly, a translation model can be easily enhanced in a stepwise manner.

Abstract: There is provided a steam power cycle system in which steam power cycles using pure materials as a working fluid is used in a multiple stage to reduce pressure loss in the flow channels in the respective heat exchanger so that the fluid serving as heat sources has been caused to make an effective heat exchange with the working fluid. More specifically, not only that the respective flow channels for the fluid serving as heat sources in the evaporator and the condenser in the respective steam power cycle units are connected in series to each other, but the evaporator and the condenser comprise a cross-flow type heat exchanger and are arranged respectively in a flowing direction of the fluid serving as heat source. Consequently, it is possible to reduce the length of the flow channels to the minimum necessary, simplify the flow channel structure, and reduce the pressure loss.