Abstract: The invention provides a high-molecular-weight polyethylene glycol derivative that does not cause vacuolation of cells. The degradable polyethylene glycol derivative is represented by the following formula (1): wherein m is 1-7, n1 and n2 are each independently 45-682, p is 1-4, R is an alkyl group having 1-4 carbon atoms, Z is an oligopeptide with 2-8 residues composed of neutral amino acids excluding cysteine, Q is a residue of a compound having 2-5 active hydrogens, X is a functional group capable of reacting with a bio-related substance, and L1, L2, L3, L4 and L5 are each independently a single bond or a divalent spacer.

Abstract: Provided is an anticancer agent containing a substance that contains nitrogen-15 and that specifically accumulates in a cancer cell. Also provided is a method for killing a cancer cell in vitro, including accumulating nitrogen-15 in a cancer cell in vitro and irradiating the cancer cell with a proton beam in vitro. Additionally provided is a cancer treatment method including causing an accumulation of the nitrogen-15 in a cancer cell in a human or a nonhuman animal and irradiating the human or the nonhuman animal with a proton beam.

Abstract: A management system includes an autonomously movable mobile robot configured to be managed by the management system and transport a transport article. The mobile robot includes a storage locker capable of containing a transport article and being electrically locked or unlocked. The management system is configured to determine whether to unlock the storage locker according to a security level set for unlocking the storage locker. The management system is configured to, when the management system receives a notification of an emergency event, lower the security level.

Abstract: A game mat according to an aspect of the present technology is a mat including: a mobile terminal antenna that receives a radio wave output by a reader/writer of a mobile terminal that communicates with a server that manages a game using an IC card; an IC card antenna that communicates with the IC card including an IC chip for an IC card in which reading/writing of data is performed contactlessly by a command transmitted from the reader/writer; a memory that stores a mat ID, which is identification information of a mat; and an internal IC chip that receives a command transmitted from the reader/writer and stores, into the memory in association with the mat ID, information regarding the game transmitted from the server. The present technology can be applied to a play mat of a card game using a smartphone having an NFC function and an IC card.

Abstract: A robot control system according to a present embodiment is a robot control system for controlling a mobile robot that is configured to autonomously within a facility. When it is detected that one or more used trays, among a plurality of trays used for meal service within the facility, are returned to a first prescribed place, the system instructs the mobile robot to collect the trays returned to the first prescribed place and deliver the trays to a second prescribed place.

Abstract: The laminate film is a laminate including 51 or more layers in which an A layer mainly composed of a thermoplastic resin A and a B layer mainly composed of a thermoplastic resin B, which is different from the thermoplastic resin A, are alternately laminated. A transmission spectrum X is obtained by exposing the film to linear polarized light (X wave) that oscillates in the alignment direction of the film over a range of wavelengths from 300 to 900 nm. A transmission spectrum Y is obtained by exposing the film to linear polarized light (Y wave) that oscillates in the direction perpendicular to the alignment direction of the film over a range of wavelengths from 300 to 900 nm. The area Amax (nm·%) of the largest region among regions enclosed by the transmission spectrum X and the transmission spectrum Y is 150 to 1500.

Abstract: An autonomous movement system according to an embodiment is an autonomous movement system that performs autonomous movement in a facility including an elevator, in which the autonomous movement system moves a waiting position in a car of the elevator, based on a person that gets on the car or an object that gets on the car. The autonomous movement system may determine the person or the object before the car stops at a floor or before a car door opens.

Abstract: In a conveyance system, a conveyance object is conveyed by use of a plurality of mobile robots autonomously movable inside a facility. In a case where a blockade request event occurs in at least one area inside the facility, the conveyance system receives occurrence information transmitted from a facility management system configured to manage the facility and causes the mobile robots to execute an operation restriction to restrict operations of the mobile robots. In a case where a predetermined condition for the blockade request event is established after the mobile robots execute the operation restriction, the conveyance system reboots the mobile robots.

Abstract: A relay unit includes a housing having a lower portion having four side faces each having an outlet; a heat exchanger accommodated in the housing; and a drain pan located below the heat exchanger. At a front face of the lower portion of the housing, a removable sheet metal cover having the outlet is formed. The drain pan includes a plate having four side portions, a side wall portion extending upward from each of the four side portions, and a drain socket provided in the side wall portion located forward or rearward, and to which a drain hose is connected. The drain pan is freely inserted and removed in a front-rear direction in a state in which the sheet metal cover is removed from the housing, and the drain pan is freely reversed front to rear to be accommodated in the housing.

Abstract: An autonomous movement system according to an embodiment is an autonomous movement system for autonomous movement in a facility, the autonomous movement system changing a movement speed for the autonomous movement depending on a cooperation mode, a connection mode and a caution mode, the cooperation mode being a mode of moving while acquiring position information inside a first range in cooperation with a facility camera, the first range being a range that the facility camera photographs to generate image data, the facility camera being fixed in the facility, the connection mode being a mode of moving inside a second range and outside the first range, the second range being a range in which connection with an access point is performed by wireless communication, the access point being fixed in the facility, the caution mode being a mode of moving outside the first range and outside the second range.

Abstract: A signal processing device according to the present technology includes a feature quantity extraction unit including a neural network and trained to extract a feature quantity for a specific event with respect to an input signal from a sensor, and a correction unit that performs correction of the input signal on the basis of the feature quantity extracted by the feature quantity extraction unit.

Abstract: A signal processing device includes an approximate curved surface conversion unit that includes a first stacked autoencoder pretrained on the basis of learning input data constituted by coordinate data acquired for each of multiple elements of an object, and that obtains approximate curved surface data indicating an approximate curved surface of the object in an intermediate layer of the first stacked autoencoder, on the basis of input data constituted by the coordinate data acquired for each of the elements, and a geometric modulation processing unit that includes a second stacked autoencoder having learned by machine learning on the basis of learning input data constituted by the approximate curved surface data and on the basis of training data constituted by a result obtained by coordinate conversion for each of the elements in a geometric modulation process performed for the object, and performs the geometric modulation process.

Abstract: The present technology relates to a file generation device, a file generation method, a file reproduction device, a file reproduction method, and a program capable of associating an image stored is a file with external data outside the file. A file control unit generates an association-type high efficiency image file format (HEIF) file in which an image in an HEIF file compliant with HEIF and specific information that specifies external data outside the HEIF file, the external data to be associated with the image, are stored in association with each other. Furthermore, the file control unit reproduces the association-type HEIF file. The present technology can be applied to a case where an HEIF file is generated or a case where the HEIF file is reproduced.

Abstract: A signal processing device according to the present technology includes a stacked auto encoder that processes an input signal from a sensor, a control line associated learner including a neural network and subjected to control line associated learning for performing learning by associating different event aspects related to a specific event with values of different control lines with a feature quantity obtained in an intermediate layer of the stacked auto encoder after pretraining as an input, and a refactorer that obtains a difference between a first output that is an output of the control line associated learner when a first value is given to the control line, and a second output that is an output of the control line associated learner when a second value different from the first value is given to the control line.

Abstract: A signal processing device includes an approximate curved surface conversion unit that includes a first stacked autoencoder pretrained on the basis of learning input data constituted by coordinate data acquired for each of multiple elements of an object, and that obtains approximate curved surface data indicating an approximate curved surface of the object in an intermediate layer of the first stacked autoencoder, on the basis of input data constituted by the coordinate data acquired for each of the elements, and a geometric modulation processing unit that includes a second stacked autoencoder having learned by machine learning on the basis of learning input data constituted by the approximate curved surface data and on the basis of training data constituted by a result obtained by coordinate conversion for each of the elements in a geometric modulation process performed for the object, and performs the geometric modulation process.

Abstract: A signal processing device according to the present technology includes a feature quantity extraction unit including a neural network and trained to extract a feature quantity for a specific event with respect to an input signal from a sensor. and a correction unit that performs correction of the input signal on the basis of the feature quantity extracted by the feature quantity extraction unit.

Abstract: A signal processing device according to the present technology includes a stacked auto encoder that processes an input signal from a sensor, a control line associated learner including a neural network and subjected to control line associated learning for performing learning by associating different event aspects related to a specific event with values of different control lines with a feature quantity obtained in an intermediate layer of the stacked auto encoder after pretraining as an input, and a refactorer that obtains a difference between a first output that is an output of the control line associated learner when a first value is given to the control line, and a second output that is an output of the control line associated learner when a second value different from the first value is given to the control line.

Abstract: A signal processing apparatus includes: a data input unit to which image data is input; an output unit configured to output an output value based on the data input to the data input unit; an expectation feedback calculator configured to calculate a difference between an expectation based on the input data and the output value; and a Bayesian estimator to which information on the difference and information based on the image data are input and which is configured to perform machine learning in order to approximate the output value to the expectation based on the input information and to search for an optimum configuration.

Abstract: The present technology relates to a file processing device, a file processing method, and a program that enable association of, for example, an image stored in a file with external data outside the file. A file control unit generates a high efficiency image file format (HEIF) file storing relationship information related to association between an image and specification information. The relationship information includes the specification information that is before being assigned to external data and specifies the external data that is outside the HEIF file and is to be associated with the image stored in the HEIF file. Furthermore, the file control unit writes the specification information stored in the HEIF file into the file storing the external data. The present technology can be applied to, for example, a case where a HEIF file is generated and an image stored in the HEIF file is associated with external data later, and the like.

Abstract: A lubricating oil composition for a push-belt continuously variable transmission includes: (A) a lubricant base oil including at least one wax-isomerized base oil, and having a specific kinematic viscosity and a specific viscosity index; (B) a poly(meth)acrylate having a specific weight average molecular weight; (C) a boron-containing succinimide compound; (D) a borate ester compound; and (E) an overbased calcium detergent, wherein the composition has a kinematic viscosity at 40° C. of no more than 25 mm2/s; a viscosity index of no less than 180; and the ratio of a boron content to a calcium content of 0.5 to 1.5.