Abstract: A method for manufacturing a cellulose derivative includes a step of preparing a low crystalline cellulose having a degree of crystallinity of 70% or less and a step of derivatizing the low crystalline cellulose described above.

Abstract: In order to improve a feature quantity selection method for machine learning of a stress level estimation model, an information processing apparatus (1) includes: a first selection section (11) that generates a feature set by selecting a feature quantity corresponding to each of a plurality of modalities from among a plurality of feature quantities; and a second selection section (12) that selects, based on a result of verifying estimation accuracy, a combination of feature quantities for use in the machine learning, the verification being carried out by applying combinations of feature quantities included in the feature set to the machine learning of the estimation model.

Abstract: In order to estimate a stress level with higher accuracy than conventional techniques, a stress level estimation method includes: classifying, by at least one processor, measurement data into first measurement data and second measurement data, the measurement data having been measured during a predetermined time period and pertaining to a stress level that indicates a degree of stress of a subject, the first measurement data having been measured during working hours of the subject, and the second measurement data having been measured outside the working hours; and estimating, by the at least one processor, a stress level of the subject using at least one of the first measurement data and the second measurement data.

Abstract: A cellulose saccharification method includes a sterilization step of feeding, into a saccharification tank, an acidic liquid having a pH of 4.0 or less and a raw material including cellulose, and immersing, at a pH of 4.0 or less, the raw material in the acidic liquid for 30 minutes or longer; a mixing step of feeding water into the saccharification tank to obtain a liquid mixture having a pH of 4.4 or more; and a saccharification step of adding an enzyme to the liquid mixture and causing a saccharification reaction to proceed through stirring.

Abstract: A method of saccharifying cellulose according to an embodiment of the present disclosure is a method including an adding step of adding water, a raw material containing cellulose, and an enzyme to a saccharification vessel from an addition unit to obtain a mixed solution, a stirring step of stirring the mixed solution to promote a saccharification reaction, and a detecting step of detecting a concentration of the enzyme contained in a liquid of the mixed solution using a detection unit in the stirring step, in which in the detecting step, the raw material containing cellulose is additionally added to the mixed solution from the addition unit after confirmation that the concentration of the enzyme is decreased from the concentration of the enzyme at start of the stirring step and then increased.

Abstract: A cellulose saccharification method including an introduction step of introducing water, a raw material containing cellulose, and a surfactant into a saccharification vessel so as to obtain a liquid mixture, an agitation step of agitating the liquid mixture due to rotation of an impeller portion, and a detection step of detecting a torque sensed by the impeller portion, wherein regarding the agitation step, after agitation is performed until an amount of the torque changed in a unit time period becomes less than or equal to a predetermined value, when the torque is more than or equal to a threshold value, the surfactant is additionally introduced into the liquid mixture, or when the torque is less than the threshold value, a pH adjuster and an enzyme are introduced into the liquid mixture.

Abstract: A method for saccharifying cellulose includes introducing a cellulose-containing raw material and a reaction solution into a saccharification tank, introducing an enzyme into the reaction solution in the saccharification tank, disposing an adsorption sheet on the liquid surface of the reaction solution, and decomposing the cellulose with the enzyme by stirring the reaction solution to produce a saccharide. The adsorption sheet adsorbs an oil component released from the raw material to the liquid surface of the reaction solution during the production of the saccharide.

Abstract: A cellulose saccharification method includes: a pulverization step of pulverizing a raw material containing cellulose and filler; a classification step of classifying the raw material in air into the cellulose and the filler; and a saccharification step of introducing the cellulose classified in the classification step and a saccharification reaction liquid which contains an enzyme in a saccharification tank to proceed a saccharification reaction by decomposition of the cellulose using the enzyme.

Abstract: A stress tolerable amount calculation apparatus includes: a stress calculating unit configured to calculate a stress value that indicates stress felt by a subject: and a stress tolerable amount calculating unit configured to calculate a stress tolerable amount that indicates the amount of stress that the subject can tolerate, based on the calculated stress value.

Abstract: A stress management apparatus that manages a subject comprise a short-term stress calculation unit that calculate a short-term stress value that indicates stress felt by a subject in a first period, a long-term stress calculation unit that calculate a long-term stress value that indicates stress felt by the subject in a second period that is longer than the first period and includes the first period; and a notification unit that notify management information for managing stress of the subject based on the long-term stress value and the short-term stress value.

Abstract: The apparatus includes the short-term stress calculation unit calculating a short-term stress value that indicates stress felt by a subject in a first period, the long-term stress calculation unit calculating a long-term stress value that indicates stress felt by the subject in a second period that is longer than the first period and includes the first period, the short-term stress change amount calculation unit calculating a short-term stress change amount of the subject based on the difference between the short-term stress values calculated at different timings, the long-term stress change amount calculation unit calculating a long-term stress change amount of the subject based on the difference between the long-term stress values calculated at different timings, and the stress release degree calculation unit calculating a stress release degree indicating the extent of stress released by the subject based on the short-term stress change amount and the long-term stress change amount.

Abstract: A stress estimation apparatus that estimates stress of a measurement subject, obtains a body-movement data acquisition unit 101 for acquiring body-movement data, a body-movement data storage unit 102 for storing body-movement data, a body-movement feature calculation unit 103 for calculating a stress-related body-movement feature from the stored body-movement data, a going-out frequency calculation unit 104 for calculating an estimated value of a going-out frequency from the stored body-movement data, a body-movement feature correction unit 105 for correcting a correlation of the body-movement feature with stress using the body-movement feature and the going-out frequency, a corrected body-movement feature output unit 106 for outputting the corrected body-movement feature, and a stress estimation unit 107 for estimating stress using the corrected body-movement feature.

Abstract: A stress estimation apparatus 1 acquires a biosignal of a measurement subject, which includes acceleration information of an action of at least one part of the measurement subject. A moving average is calculated from the acceleration information included in the acquired biosignal, and a threshold of an activity state of the measurement subject is calculated from the calculated moving average. Then, an activity state in a specific period is identified from the calculated moving average and the calculated threshold. Per-activity state data is generated by categorizing chronological data pieces of the acquired biosignal other than the acceleration information by identified activity state, and stress is estimated from the generated per-activity state data.

Abstract: A pulse determination apparatus determines a pulse rate of a person to be measured, determines whether the person to be measured is in a first state in which a pacemaker attached to the person to be measured is operating, a second state in which the pacemaker attached to the person to be measured is not operating, or a third state in which the person to be measured does not wear the pacemaker, based on variation of the pulse rate, and determines whether the pulse of the person to be measured is normal. The pulse determination apparatus does not make a determination, when it is determined that the person to be measured is in the first state, and the pulse determination apparatus makes the determination based on the pulse rate, when it is determined that the person to be measured is in the second state or the third state.

Abstract: The light emitting device includes an excitation light source, and a light emitting light source, wherein the light emitting light source includes a substrate, a photonic crystal structure which is provided to the substrate and has a light emitting layer, and an electrode configured to inject an electrical current into the light emitting layer, the excitation light source irradiates the light emitting layer with excitation light, the light emitting layer generates light due to the electrical current injected from the electrode and the excitation light, and in the photonic crystal structure, the light emitted in the light emitting layer resonates in an in-plane direction of the substrate, and a laser beam is emitted in a normal direction of the substrate.

Abstract: The light emitting device includes an excitation light source, and a light emitting light source, wherein the light emitting light source includes a substrate, a photonic crystal structure which is provided to the substrate and has a light emitting layer, and an electrode configured to inject an electrical current into the light emitting layer, the excitation light source irradiates the light emitting layer with excitation light, the light emitting layer generates light due to the electrical current injected from the electrode and the excitation light, and in the photonic crystal structure, the light emitted in the light emitting layer resonates in an in-plane direction of the substrate, and a laser beam is emitted in a normal direction of the substrate.

Abstract: A mental load cannot be appropriately evaluated when a tremor is detected by wearing an acceleration sensor on an arm and the like of a test subject; therefore, a tremor detector according to an exemplary aspect of the present invention includes pressure distribution detecting means for detecting pressures on a plurality of places in a plane and generating pressure information of information on pressure distribution in the plane; feature quantity extracting means for extracting a feature quantity from the pressure information; and tremor feature quantity extracting means for extracting a tremor-frequency feature quantity that is a frequency component of the feature quantity and includes a frequency component corresponding to a physiological tremor.

Abstract: A method for placing a resist film of a region having a small film thickness with good shape accuracy is provided. The method has processes of placing a photoresist film 15 on a substrate body 10, exposing the photoresist film 15 using a halftone mask 30 having light transmittances of three or more tones, and developing the photoresist film 15. The photoresist film 15 after the development has a first photoresist film 16 and a second photoresist film 17 that is thicker than the first photoresist film 16. On the substrate body 10 after the development, the second photoresist film 17 is placed at a location where the second photoresist film 17 can be placed without removing the photoresist film 15.

Abstract: A detection device is a detection device for estimating the occurrence of an allergic reaction, and includes a detection section which noninvasively acquires information of an internal skin or a skin surface as detection data for estimating the allergic reaction. The detection section includes a skin temperature detection section which detects a skin temperature, and at least one detection section which acquires the detection data other than the skin temperature.

Abstract: As a technique capable of culturing anchorage-dependent cells without using an anchorage, provided is a medium for anchorage-dependent cells, which comprises MFG-E8 (Milk fat globule-EGF factor 8) or a fragment of the protein. This medium can promote adhesion of anchorage-dependent cells in the absence of an anchorage, enables the survival and proliferation (colony formation) of the cells, and further, also enables the subsequent differentiation if the anchorage-dependent cells are stem cells.