Abstract: A rehabilitation support system in which, when a trainee performs rehabilitation using a rehabilitation support apparatus, a training assistant who assists the trainee can give rehabilitation support while taking a motivation of the trainee into consideration is provided. A rehabilitation support system including a rehabilitation support apparatus includes an acquisition unit, an output unit, and a feedback unit. The acquisition unit acquires motivation information indicating a motivation for rehabilitation performed by a trainee using the rehabilitation support apparatus, the motivation information including at least line-of-sight information of the trainee. The output unit outputs a degree indicating the motivation of the trainee based on the motivation information acquired by the acquisition unit. The feedback unit feeds back the degree output from the output unit to the rehabilitation support apparatus.

Abstract: When a non-aqueous electrolyte secondary battery in which a positive electrode active material comprising a layered lithium-composite oxide is used for a positive electrode is subjected to charge/discharge under a prescribed condition, in a graph showing the relationship between voltage “V” with discharge during 5th cycle and value dQ/dV from differentiation of battery capacity “Q” with discharge during 5th cycle by voltage “V”, peak intensity ratio “r” represented by the equation: r=|Ic|/(|Ia|+|Ib|+|Ic|) satisfies 0<r?0.25, in which |Ia| is absolute value dQ/dV for a peak top within a range of more than 3.9V to 4.4V or less, |Ib| is absolute value dQ/dV for a peak top within a range of more than 3.5V to 3.9V or less, and |Ic| is absolute value dQ/dV for a peak top within a range of 2.0V or more to 3.5V or less.

Abstract: When a non-aqueous electrolyte secondary battery in which a positive electrode active material comprising a layered lithium-composite oxide is used for a positive electrode is subjected to charge/discharge under a prescribed condition, in a graph showing the relationship between voltage “V” with discharge during 5th cycle and value dQ/dV from differentiation of battery capacity “Q” with discharge during 5th cycle by voltage “V”, peak intensity ratio “r” represented by the equation: r=|Ic|/(|Ia|+|Ib|+|Ic|) satisfies 0<r?0.25, in which |Ia| is absolute value dQ/dV for a peak top within a range of more than 3.9V to 4.4V or less, |Ib| is absolute value dQ/dV for a peak top within a range of more than 3.5V to 3.9V or less, and |Ic| is absolute value dQ/dV for a peak top within a range of 2.0V or more to 3.5V or less.

Abstract: The object of the present invention is to improve production efficiency of lithium hydroxide anhydride in a method for producing lithium hydroxide anhydride from lithium hydroxide hydrate by using a rotary kiln. The method for producing lithium hydroxide anhydride comprises steps of: supplying the lithium hydroxide hydrate to a region between a heating part which is the part of the furnace core tube surrounded by the heating furnace and one end of the furnace core tube; delivering the supplied lithium hydroxide hydrate toward the other end of the furnace core tube; feeding a drying gas with a temperature of 100° C. or higher to the region between the one end and the heating part of the furnace core tube, when the lithium hydroxide hydrate is supplied; and heating and dehydrating the lithium hydroxide hydrate by the heating furnace which is set to 230-450° C. during the lithium hydroxide delivering step, to form lithium hydroxide anhydride.

Abstract: The present invention provides a precursor of positive electrode active substance particles for non-aqueous electrolyte secondary batteries which have a high discharge voltage and a high discharge capacity, hardly suffer from side reactions with an electrolyte solution, and are excellent in cycle characteristics, positive electrode active substance particles for non-aqueous electrolyte secondary batteries, and processes for producing these particles, and a non-aqueous electrolyte secondary battery.

Abstract: The ID acquisition unit acquires identification information of a delivered delivery box, or identification information of a transport robot that delivered the delivery box. The whitelist holding unit holds identification information of a receivable delivery box, or identification information of a transport robot permitted to deliver. The receiving determination unit determines, when the acquired identification information of the delivery box or the acquired identification information of the transport robot is held in the whitelist holding unit, to receive the delivery box.

Abstract: A monitoring method includes acquiring an image captured by a monitoring camera, analyzing the image captured by the monitoring camera, specifying an area that needs information from the analysis result, transmitting, to a mobile robot, a dispatch instruction to the specified area, acquiring an image captured by a camera of the mobile robot, and analyzing the image captured by the camera of the mobile robot.

Abstract: A robot system includes a robot control device to link a plurality of transport robots having a function of traveling with a package being loaded. A task acquisition unit acquires a task to be performed. A notification unit notifies the transport robot of action details which are assigned regarding the task. The transport robot takes an action in link with another transport robot according to the notified action details.

Abstract: In an outboard motor, a damper includes a bushing fixed to a periphery of a propeller shaft. The damper includes a second pressing surface that presses a first pressing surface of an inner surface of a cylinder in a circumferential direction, an elastic member disposed around a portion of the bushing different from the second pressing surface of the bushing, and a reinforcer disposed between the first pressing surface and the second pressing surface.

Abstract: A walking training apparatus is a motion support system that includes a walking assistance apparatus as an assistance apparatus, a selected assistance level setting unit, a load data acquisition unit, an angle sensor as a displacement sensor, and an overall control unit as a control unit. The assistance apparatus assists a motion of a joint performed by a user. The assistance level setting unit sets an assistance level that is a level of a force exerted by the assistance apparatus. The load data acquisition unit acquires load data related to a load of the assistance apparatus. The displacement sensor detects a displacement of the joint. The control unit determines a recommended assistance level, which is an assistance level to be recommended, based on the assistance level, the load data, and an output of the displacement sensor, and outputs information about the determined recommended assistance level.

Abstract: A state estimation program is for causing a computer to function to determine a state of training in a rehabilitation support system used by a trainee to perform training of a preset motion and includes a threshold setting step and a state estimation step. The threshold setting step is for acquiring a sensor output, the sensor output being an output of a sensor included in the rehabilitation support system in the training performed by the trainee and setting a threshold for determining one of a normal state and an abnormal state of the training based on the sensor output. The state estimation step is for estimating whether the training is performed in the normal state or the abnormal state based on the threshold.

Abstract: The server is a learning apparatus including a data acquisition unit and a learning unit. The data acquisition unit acquires profile data and a selected assistance level as learning data. The profile data indicates a profile related to a trainee before executing rehabilitation regarding rehabilitation executed using a walking training apparatus as a rehabilitation support system. The selected assistance level is an assistance level selected at the time of executing the rehabilitation. The learning unit learns to determine a recommended assistance level recommended to be selected when the trainee uses the rehabilitation support system based on the learning data. Further, the learning unit generates a trained model that receives the profile data and outputs the recommended assistance level based on the learning.

Abstract: A walking training apparatus is a support motion measurement system for measuring a support motion performed for a training motion of a trainee by a training staff member assisting the trainee to perform training of a preset motion. The support motion measurement system includes a training motion detection unit, a support motion detection unit, and an identification unit. The training motion detection unit detects the training motion. The support motion detection unit detects at least one of a timing, a position, a direction and strength of the support motion received by the trainee from the training staff member in the training motion. The identification unit identifies the support motion for the training motion based on a motion pattern of the training motion.

Abstract: The learning system includes a data generation unit configured to generate learning data based on rehabilitation data and a learning unit configured to perform machine learning using the learning data. A sensor is provided to detect a plurality of motion amounts in a walking motion of a trainee, and it is evaluated that, when one of the motion amounts matches one of abnormal walking criteria, that the walking motion is an abnormal walking pattern that meets the matched abnormal walking criterion. The data generation unit generates each of the pieces of rehabilitation data before and after a change in the results of evaluation of the abnormal walking pattern as learning data. The learning unit sequentially inputs each of the pieces of rehabilitation data as one data set, thereby performing machine learning.

Abstract: An acquisition unit acquires an output result based on first rehabilitation data about rehabilitation performed by a trainee by using a rehabilitation support system, the first rehabilitation data including at least assistant data indicating a training assistant and index data indicating a degree of recovery of the trainee, the output result being a result obtained by outputting a degree indicating an evaluation of the training assistant. A learning unit generates a learning model, the learning model being configured to input second rehabilitation data including at least the action data indicating an assisting action performed by the training assistant to assist the trainee and output action data for suggesting a next action to be performed by the training assistant. The learning unit generates the learning model by using, as teacher data, the second rehabilitation data for which pre-processing has been performed based on the output result.

Abstract: A learning unit of a learning system generates a learning model, the learning model being configured to input rehabilitation data about rehabilitation and predict feedback control to be performed, the rehabilitation being performed by a trainee using a rehabilitation support system. The rehabilitation support system performs the feedback control based on motivation information of the trainee. The rehabilitation data includes at least training data including the motivation information of the trainee and feedback information indicating the feedback control. The learning unit generates the learning model by using, as teacher data, the rehabilitation data that is obtained when the motivation information is one that causes such a change that the motivation of the trainee is improved.

Abstract: Appropriate housing equipment according to the physical ability of a trainee who has performed rehabilitation in order to restore or maintain the physical ability is easily presented. A housing equipment presentation apparatus includes a storage unit configured to store definition information defining housing equipment information according to a physical ability, an acquisition unit configured to externally acquire physical ability information of a trainee who has performed training in order to restore or maintain his/her physical ability, a conversion unit configured to convert the acquired physical ability information into the housing equipment information based on the definition information, and an output unit configured to output presentation information including the converted housing equipment information.

Abstract: A processing system capable of educating a training assistant, who assists a trainee when the trainee performs rehabilitation by using a walking training apparatus, in order to enable the training assistant to appropriately assist the trainee is provided. The processing system includes a determination unit and an output unit. The determination unit determines an adjustment-required parameter, the adjustment-required parameter being, among parameters that can be adjusted in a walking training apparatus, a parameter of which a frequency of adjustments by a training assistant who assists a trainee performing walking training in the walking training apparatus or by an assistant in a hospital other than the training assistant is lower than an adjustment criterion. The output unit outputs parameter information indicating the adjustment-required parameter and effect information indicating an adjustment effect that is obtained when the adjustment-required parameter is adjusted.

Abstract: An acquisition unit acquires a classification result obtained by classifying training assistants by performing a cluster analysis based on first rehabilitation data about rehabilitation performed by the trainee by using the rehabilitation support system, the first rehabilitation data including at least assistant data indicating a training assistant and index data indicating a degree of recovery of the trainee. A learning unit generates a learning model, the learning model being configured to input second rehabilitation data including at least the action data indicating an assisting action performed by the training assistant to assist the trainee and output the action data for suggesting a next action to be performed by the training assistant. The learning unit generates the learning model by using, as teacher data, the second rehabilitation data for which pre-processing has been performed based on the classification result.

Abstract: A learning unit of a learning system generates the following learning model. That is, this learning model is a model that inputs, for each predetermined period, rehabilitation data about rehabilitation performed by a trainee using a rehabilitation support system, and predicts a change in a setting parameter. The setting parameter is a setting parameter in the rehabilitation support system that is used when the trainee performs the rehabilitation. The rehabilitation data includes at least index data, trainee data, and training data, the index data indicating at least one of a symptom, a physical ability, and a degree of recovery of the trainee, the trainee data indicating a feature of the trainee, the training data including the setting parameter. Further, the learning unit generates a learning model by using, as teacher data, data obtained in a period until the index data reaches a predetermined target level.