Abstract: Provided an optical transmission system in which at least one node device of a plurality of node devices includes one or more filters that perform filter processing on an optical signal, and a control unit that adjusts a setting of one or more filters in response to an instruction transmitted from the control device, and the control device includes a transmission line design unit that specifies a first transmission mode to be used for communication of a user-side optical communication device in response to a request in connection request data or an instruction of an operator, calculates the setting of at least the one or more filters included in the at least one node device of the plurality of node devices in a case where the specified first transmission mode does not satisfy the request in the connection request data or a higher request condition than the request in the connection request data, and notifies the at least one node device of the plurality of node devices of node control information including th

Abstract: An endoscope system including a processor configured to: classify a first image acquired by applying first illumination light into a first region and a second region; extract, from a second image acquired by applying second illumination light, a third region including a region corresponding to the second region, the third region having visual information corresponding to a region hidden behind the second region; and generate a partial transparent image by combining the first region and the third region.

Abstract: Generating a plurality of possibility symbol sequences that is a possibility for a transmission signal sequence formed by a transmission symbol; outputting an estimated reception symbol obtained as an output when each of a plurality of the possibility symbol sequences generated is given, as an input sequence, to the function approximator that approximates a transfer function of a transmission path that transmits the transmission signal sequence; specifying an estimated transmission symbol corresponding to a determination target reception symbol sequence by determining the transmission symbol by maximum likelihood sequence estimation on the basis of the determination target reception symbol sequence obtained from a reception signal sequence when the transmission path transmits the transmission signal sequence and the estimated reception symbol for each possibility symbol sequence; and optimizing the function approximator such that a determination target reception symbol forming the determination target recepti

Abstract: A system, method, and a computer program product for assisting an operation of cell culture are provided. The system comprising a processing circuitry configured to: acquire information relating to the cell culture, calculate predictive values of results of the cell culture over culture time and possible ranges of the respective predictive values, and output the predictive values and the possible ranges of the respective predictive values. The processing circuitry calculates the predictive values at a first point of time, then calculates, on the basis of the predictive values at the first point, the predictive values at a second point of time that is later than the first point of time, and repeats the calculation over the culture time. The processing circuitry uses a statistical regression model to calculate the possible range of the respective predictive values.

Abstract: An endoscope processor includes a processor. The processor discriminates, in first image information acquired by applying first illumination light, between first region image information constituted of an object of an interest subject and second region image information constituted of an object of a non-interest subject, generates third region image information of a region in second image information acquired by applying second illumination light, the region including at least a part of a region of the second region image information, the second illumination light having a wavelength different from a wavelength of the first illumination light and passing through the object of the non-interest subject, and combines the first region image information and the third region image information, to generate a partial transparent image in which the object of the non-interest subject of the first image information is made transparent.

Abstract: The bit log-likelihood ratio generation unit generates a bit log-likelihood ratio of the reception symbol for each bit. The symbol selection unit selects a plurality of adjacent symbols of the reception symbol. A candidate sequence generation unit generates a plurality of candidate sequences by combining adjacent symbols of time-series reception symbols. The posterior probability maximum estimation unit calculates the log-likelihood ratio of the adjacent symbol to maximize the posterior probability using the output obtained by whitening time-series data of branched reception symbols and the candidate sequences reflecting the channel response. A likelihood ratio selection unit selects the bit log likelihood to be corrected based on the bit converted from the adjacent symbol. An addition unit performs weighted addition of the selected bit log-likelihood ratio and a correction value based on a difference between the bit log-likelihood ratio and the log-likelihood ratio.

Abstract: Provided is a soft decision device that performs a soft decision on an (n+1)th symbol of a transmission signal with a symbol multilevel degree of m, the soft decision device including: a control unit that estimates a branch metric, which is a distance that is obtained by a Viterbi algorithm, is in a distance function, and indicates a likelihood of transition from an nth symbol of the transmission signal to each candidate for the (n+1)th symbol, based on a received signal and an estimated transfer function that is an estimation result of a transfer function of a transmission line, estimates a path metric, which is a sum of a distance that is obtained by the Viterbi algorithm, is in a distance function, and indicates a likelihood that each candidate for the (n+1)th symbol of the transmission signal is a symbol of the transmission signal and a distance of a predetermined remaining path of the transmission signal, based on a result of the branch metric estimation process, and estimates a likelihood that a kth bit

Abstract: A communication terminal functioning as a notification apparatus includes: an intellectual function evaluation unit that evaluates a plurality of intellectual functions relating to a physical condition of a driver being a user, based on biological information of the driver; a dialog unit that functions as a speech acquisition unit that acquires speech information of the driver; a speech evaluation unit that evaluate second physical condition information consisting of a speech analysis result relating to the physical condition of the driver, based on the speech information; and a notification control unit that notifies the driver of notification information corresponding to the physical condition of the driver, based on a combination of an evaluation result from the intellectual function evaluation unit and an evaluation result from the speech evaluation unit.

Abstract: A communication terminal functioning as a notification apparatus includes: an information acquisition unit functioning as a biological information acquisition unit acquiring biological information about a driver being a user, and an external environment recognition unit recognizing an external environment; a clock unit functioning as an external environment recognition unit recognizing another external environment; an intellectual function evaluation unit evaluating a physical condition of the driver, based on the biological information; and a notification control unit notifying the driver of the notification information, based on an evaluation result from the intellectual function evaluation unit.

Abstract: A smartphone includes: a biological information acquisition unit that acquires biological information about a driver; a driving behavior acquisition unit that acquires driving behavior information indicating driving behavior of the driver; a danger level evaluation unit that evaluates a driving danger level indicating a danger degree while the driver is driving a vehicle, based on the biological information and the driving behavior information; an area setting unit that sets a danger area in map information when the driving danger level is equal to or higher than a predetermined value; a position acquisition unit that acquires a travel position of the vehicle on a map; and a notification unit that outputs, when the travel position approaches the danger area, a first notification indicating that the travel position has approached the danger area.

Abstract: A smartphone includes: a first biological information acquisition unit that acquires first biological information being biological information about a driver while driving a vehicle; a driving behavior acquisition unit that acquires driving behavior information indicating driving behavior of the driver; a danger level calculation unit that calculates a driving danger level indicating a danger degree while the driver is driving the vehicle, based on the first biological information and the driving behavior information; a speech output unit that performs speech output for the driver, in accordance with a degree of change in the driving danger level; a response acquisition unit that acquires response information indicating a response from the driver to the speech output; and an output control unit that controls the speech output unit based on the response information.

Abstract: A communication terminal functioning as a notification apparatus includes: an information acquisition unit acquiring biological information about a driver being a user at time intervals; an intellectual function evaluation unit evaluating a first physical condition indicating a relatively long-term physical condition, based on a plurality of pieces of the biological information of a predetermined period acquired by the information acquisition unit; a dialog unit performing speech output encouraging a speech response from the driver, when that the driver has gotten in a vehicle is detected; a speech evaluation unit evaluating a second physical condition indicating a relatively short-term physical condition, based on speech information of the driver as a response to the speech output; and a notification control unit notifying the driver of notification information corresponding to a physical condition, based on a combination of evaluation results from the intellectual function evaluation unit and from the speec

Abstract: A smartphone includes: an acquisition unit configured to acquire first biological information from a smartwatch that is worn by a user and detects biological information about the user, and acquire second biological information from an information holding institution that holds biological information about the user; and an evaluation unit configured to evaluate whether a health state of the user is an appropriate state as a driver of a vehicle, based on the first biological information and the second biological information.

Abstract: A driver monitoring device includes: a biometric information recognition portion that recognizes biometric information of a driver of a moving body; a driving behavior recognition portion that recognizes driving behavior of the driver, who is driving; a driving risk recognition portion that recognizes, using a predetermined recognition method, a driving risk indicating a risk level of movement of the moving body due to driving of the driver, based on at least one of the biometric information of the driver and the driving behavior of the driver, when the driver is driving the moving body; and a driving risk recognition method switching portion that switches the recognition method used when the driving risk recognition portion recognizes the driving risk at a next recognition timing, according to the driving risk recognized by the driving risk recognition portion.

Abstract: A driver monitoring device includes: a biometric information recognition portion that recognizes biometric information of a driver of a moving body; a driving behavior recognition portion that recognizes driving behavior of the driver, who is driving the moving body; a predicted risk score calculation portion that calculates, based on driving behavior of the driver recognized by the driving behavior recognition portion at a predetermined time point while the driver is driving the moving body and on-driving biometric information, which is biometric information of the driver, recognized by the biometric information recognition portion at the predetermined time point, a predicted risk score indicating a risk level regarding movement of the moving body due to driving of the driver after the predetermined time point.

Abstract: Provided is a method for purifying an antibody, comprising: providing a solution containing the antibody; and filtering the solution using a porous membrane comprising regenerated cellulose to purify the antibody. Also provided is a method for purifying an antibody, comprising: providing a solution containing the antibody; and filtering the solution using a porous membrane comprising regenerated cellulose to purify the antibody, wherein (A) Tr?Tm of the antibody in hydrophobic interaction chromatography is 15 minutes or more, and/or (B) a k value of the antibody in hydrophobic interaction chromatography is 19 or more.

Abstract: A method for producing a polyamide medium for purifying a protein-containing solution, comprising: a step of treating a polyamide medium before a treatment with an acidic or alkaline aqueous solution, with an acidic or alkaline aqueous solution.

Abstract: According to an aspect of the present invention, there is provided an optical signal demodulator including an optical reception unit, an AD conversion unit, a digital signal processing unit, and a signal determination unit, in which the signal determination unit includes: a spectrum shaping filter processing unit that receives a reception signal sequence of the digital signal from the digital signal processing unit and outputs a value obtained by performing a convolution operation on the reception signal sequence which is received; a transmission line simulation filter processing unit that outputs a value obtained by performing a convolution operation on a candidate signal sequence which is determined based on a symbol transition of the reception signal; an error information acquisition unit that acquires error information between the value output from the spectrum shaping filter processing unit and the value output from the transmission line simulation filter processing unit; and a bit determination unit tha

Abstract: An optical transmission system using a transmission path for transmitting an optical signal, including: a transmitter for transmitting the optical signal; one or more optical elements for compensating deterioration of the optical signal; and a receiver for receiving the optical signal, in which a compensation amount of each of the optical element for the degradation is a predetermined amount based on a spectrum of the optical signal at a first measurement position that is a predetermined position between the transmitter and the transmission path and a spectrum of the optical signal at a second measurement position that is a predetermined position between the transmission path and the receiver.

Abstract: The bit log-likelihood ratio generation unit generates a bit log-likelihood ratio of the reception symbol for each bit. The symbol selection unit selects a plurality of adjacent symbols of the reception symbol. A candidate sequence generation unit generates a plurality of candidate sequences by combining adjacent symbols of time-series reception symbols. The posterior probability maximum estimation unit calculates the log-likelihood ratio of the adjacent symbol to maximize the posterior probability using the output obtained by whitening time-series data of branched reception symbols and the candidate sequences reflecting the channel response. A likelihood ratio selection unit selects the bit log likelihood to be corrected based on the bit converted from the adjacent symbol. An addition unit performs weighted addition of the selected bit log-likelihood ratio and a correction value based on a difference between the bit log-likelihood ratio and the log-likelihood ratio.