Abstract: Provided is a display control device including: a voice receiver configured to receive a voice utterance from a user; a communication unit configured to receive information for the voice utterance from a server via a network; and a controller configured to select an item corresponding to the voice utterance on the basis of the information that has been received, and configured to control an action in response to the item that has been selected, in which the item includes a first item in an inside of a display screen and a second item that becomes displayable by scrolling, and the controller selects either the first item or the second item on the basis of the information that has been received. The present technology is applicable to, for example, a television receiver.

Abstract: An optical connection structure including first optical fibers, second optical fibers, a first optical connector, and a second optical connector is disclosed. The first optical connector is configured such that each of first distal end portions of the first optical fibers protrudes from a first front end surface to the outside when the first optical connector and the second optical connector are connected to each other. Each of the first distal end portions is inserted into a corresponding second fiber hole of the second optical connector. The second optical connector is configured such that each of second distal end portions of the second optical fibers is moved rearward inside second fiber holes due to each of the first distal end portions respectively inserted into the second fiber holes. The first optical fibers and the second optical fibers are optically coupled to each other inside the second fiber holes.

Abstract: A small and compact rotation transmitter includes a torque limiter and an angular position holding apparatus. An outer race member is installed in a housing, and a coil spring is mounted on the outer peripheral surface thereof. Inside the outer race member, an internal space is formed, and an inner race member is installed concentrically with the outer race member. In the annular space between the outer and inner race members, a thin-plate elastic piece is pressed against the outer and inner race members, and either the outer or inner race member is connected to an input-side device while the other is connected to an output-side device. Even without rotation torque, the position of the output-side device is held by the coil spring. When the rotation torque from the input-side device becomes excessive, slippage occurs on the thin-plate elastic piece, whereby the outer and inner race members are disconnected.

Abstract: A machine learning method includes acquiring data including attendance records of employees and information indicating which employee has taken a leave of absence from work, in response to determining that a first employee of the employees has not taken a leave of absence in accordance with the data, generating a first tensor on a basis of an attendance record of the first employee and parameters associated with elements included in the attendance record, in response to determining that a second employee of the employees has taken a leave of absence in accordance with the data, modifying the parameters, and generating a second tensor on a basis of an attendance record of the second employee and the modified parameters, and generating a model by machine learning based on the first tensor and the second tensor.

Abstract: A learning device receives, for each target, learning data that represents the source of generation of a tensor including a plurality of elements which multi-dimensionally represent the features of the target over a period of time set in advance. When the target satisfies a condition set in advance, the learning device identifies the period of time corresponding to the condition in the learning data. Subsequently, the learning device generates a weighted tensor corresponding to the learning data that is at least either before or after the concerned period of time.

Abstract: An optical connection structure including first optical fibers, second optical fibers, a first optical connector, and a second optical connector is disclosed. The first optical connector is configured such that each of first distal end portions of the first optical fibers protrudes from a first front end surface to the outside when the first optical connector and the second optical connector are connected to each other. Each of the first distal end portions is inserted into a corresponding second fiber hole of the second optical connector. The second optical connector is configured such that each of second distal end portions of the second optical fibers is moved rearward inside second fiber holes due to each of the first distal end portions respectively inserted into the second fiber holes. The first optical fibers and the second optical fibers are optically coupled to each other inside the second fiber holes.

Abstract: A small and compact rotation transmitter includes a torque limiter and an angular position holding apparatus. An outer race member is installed in a housing, and a coil spring is mounted on the outer peripheral surface thereof. Inside the outer race member, an internal space is formed, and an inner race member is installed concentrically with the outer race member. In the annular space between the outer and inner race members, a thin-plate elastic piece is pressed against the outer and inner race members, and either the outer or inner race member is connected to an input-side device while the other is connected to an output-side device. Even without rotation torque, the position of the output-side device is held by the coil spring. When the rotation torque from the input-side device becomes excessive, slippage occurs on the thin-plate elastic piece, whereby the outer and inner race members are disconnected.

Abstract: An optical connection structure including first optical fibers, second optical fibers, a first optical connector, and a second optical connector is disclosed. The first optical connector is configured such that each of first distal end portions of the first optical fibers protrudes from a first front end surface to the outside when the first optical connector and the second optical connector are connected to each other. Each of the first distal end portions is inserted into a corresponding second fiber hole of the second optical connector. The second optical connector is configured such that each of second distal end portions of the second optical fibers is moved rearward inside second fiber holes due to each of the first distal end portions respectively inserted into the second fiber holes. The first optical fibers and the second optical fibers are optically coupled to each other inside the second fiber holes.

Abstract: To provide a food product molding device and a food product manufacturing method capable of molding foodstuffs into a food product having stacked plural layers with a simple structure. A mold unit in which a first mold plate and a second mold plate are stacked slidingly moves by a drive unit. Through holes respectively provided in the first mold plate and the second mold plate are linked to form molding hole portions. The molding hole portions move to a first filling position in which upper ends of the molding hole portions are connected to first filling openings, a second filling position in which upper ends of the molding hole portions are connected to second filling openings, and a discharge position in which upper ends of the molding hole portions are connected to pusher ports by the slide movement of the mold unit.

Abstract: A non-transitory computer-readable recording medium storing a machine learning program for causing a computer to executes processing, the processing including: clustering a plurality of pieces of data based on a plurality of feature amounts of the plurality of pieces of data obtained by inputting the plurality of pieces of data to a machine learning model, the clustering being performed under a condition that permits classification into a plurality of groups which are used as a correct answer label of training data and an other group which is not used as the correct answer label; generating the training data in which the correct answer label is assigned to the plurality of pieces of data based on a result of the clustering; and executing training of the machine learning model based on the generated training data.

Abstract: A hair cosmetic composition containing or being prepared by blending a component (A), a component (B), and a component (C) below: component (A): a cationic surfactant, component (B): an amphoteric surfactant, and component (C): one or more kinds selected from the group consisting of a nonionic surfactant (C1), a modified silicone having a cationic group (C2), and a sugar alcohol having 4 or more carbon atoms (C3), having a mass ratio [(B)/(A)] of 0.4 or more and 5 or less, having a content of a higher alcohol of 0.1% by mass or less, and being used by filling up a non-gas type foam discharge container, and hair cosmetics using the hair cosmetic composition are provided.

Abstract: A non-transitory computer-readable recording medium stores a program for causing a computer to execute a process, the process includes calculating a contribution degree of each of a plurality of pieces of data each including a plurality of variables, with respect to a prediction result that is output by a machine-learning model in response to input of the plurality of pieces of data, by using an explanatory model generated based on the prediction result and the plurality of pieces of data, selecting a specific variable from among the plurality of variables, determining specific data among the plurality of pieces of data based on a value of the specific variable of each of the plurality of pieces of data and the contribution degree of each of the plurality of pieces of data, and outputting the specific data as explanatory information of the prediction result.

Abstract: A non-transitory computer-readable recording medium has stored therein a program that causes a computer to execute a process comprising: acquiring a first feature from a machine learning model that estimates a first result of a target after a first period in response to an input of a first chronological state of the target in the first period, the first feature being a feature of the first chronological state; acquiring a second feature by inputting a second chronological state to the machine learning model, the second feature being a feature of the second chronological state in a second period including a period after the first result is determined; and generating, based on the first feature and the second feature, training data that takes the second chronological state as an explanatory variable and takes a second result as an objective variable, the second result being obtained by changing the determined first result.

Abstract: A non-transitory computer-readable recording medium has stored therein a program that causes a computer to execute a process comprising: acquiring a first feature from a machine learning model that estimates a first result of a target after a first period in response to an input of a first chronological state of the target in the first period, the first feature being a feature of the first chronological state; acquiring a second feature by inputting a second chronological state to the machine learning model, the second feature being a feature of the second chronological state in a second period including a period after the first result is determined; and generating, based on the first feature and the second feature, training data that takes the second chronological state as an explanatory variable and takes a second result as an objective variable, the second result being obtained by changing the determined first result.

Abstract: The invention provides a food coating apparatus and a food production method in which an impact applied when a food material is put can be reduced, misalignment or deformation of a food material can be suppressed, and even a soft food material, an easily-crumbled food material, or the like can be efficiently coated.

Abstract: A method includes: selecting a plurality of models by using data set and a prediction result of a prediction model for the data set, each model being configured to linearly separate data included in the data set input to the prediction model; creating a decision tree such that a leaf of the decision tree corresponds to each selected model and a node of the decision tree corresponds to each of logics classifying the data from a root to each leaf of the decision tree; specifying a branch to be pruned by using variation in the data belonging to each leaf of the created decision tree; recreating the decision tree by using the data set corresponding to the decision tree in which the specified branch has been pruned; and outputting each of the logics corresponding to each node of the recreated decision tree as a description result of the prediction model.

Abstract: To provide a food product molding device and a food product manufacturing method capable of molding foodstuffs into a food product having stacked plural layers with a simple structure. A mold unit in which a first mold plate and a second mold plate are stacked slidingly moves by a drive unit. Through holes respectively provided in the first mold plate and the second mold plate are linked to form molding hole portions. The molding hole portions move to a first filling position in which upper ends of the molding hole portions are connected to first filling openings, a second filling position in which upper ends of the molding hole portions are connected to second filling openings, and a discharge position in which upper ends of the molding hole portions are connected to pusher ports by the slide movement of the mold unit.

Abstract: A machine learning method includes acquiring data including attendance records of employees and information indicating which employee has taken a leave of absence from work, in response to determining that a first employee of the employees has not taken a leave of absence in accordance with the data, generating a first tensor on a basis of an attendance record of the first employee and parameters associated with elements included in the attendance record, in response to determining that a second employee of the employees has taken a leave of absence in accordance with the data, modifying the parameters, and generating a second tensor on a basis of an attendance record of the second employee and the modified parameters, and generating a model by machine learning based on the first tensor and the second tensor.

Abstract: A learning device receives, for each target, learning data that represents the source of generation of a tensor including a plurality of elements which multi-dimensionally represent the features of the target over a period of time set in advance. When the target satisfies a condition set in advance, the learning device identifies the period of time corresponding to the condition in the learning data. Subsequently, the learning device generates a weighted tensor corresponding to the learning data that is at least either before or after the concerned period of time.

Abstract: An instrument producing a charged particle beam according to the present invention is provided with: a charged particle source; a plurality of first electrodes disposed along a direction of irradiation of charged particles from the charged particle source; a plurality of insulation members disposed between the first electrodes; and a housing mounted around the plurality of first electrodes. The housing is formed from an insulating solid material, and includes a plurality of second electrodes disposed at positions in proximity to the plurality of first electrodes. At least one of the plurality of second electrodes is electrically connected to at least one of the plurality of first electrodes, each of the plurality of second electrodes having the same potential as the potential of the proximate one of the first electrodes.