Abstract: An object of the present invention is to provide a compound having an anti-inflammatory activity or a pharmacologically acceptable salt thereof. The solution of the present invention is a compound of general formula (1) or a pharmacologically acceptable salt thereof. wherein the symbols in the formula are defined below: R1: e.g., a C1-C6 alkyl group; R2: a C1-C6 alkyl group; A: e.g., an oxygen atom; and R3: e.g., a C1-C6 alkyl group.

Abstract: An internal pore of a sintered metal bearing 8 is impregnated with a lubricating fluid, and a radial dynamic pressure generation portion 8a1 is formed on an inner peripheral surface 8a. An axial dimension L is 4.8 nm or less, a thickness dimension t is 0.5 mm or more and 1.5 nm or less, and a ratio L/D2 of the axial dimension L to an outer diameter dimension D2 is 0.24 or more and 0.6 or less.

Abstract: An optimization apparatus includes: a selection unit that selects, as a correction value, an element having a magnitude equal to or smaller than a predetermined value from among convex hulls of a policy set; an acquisition unit that acquires a result of execution of a second policy executed in a second round, the second round being a round a predetermined round before a first round for executing a first policy that is determined from among the policy set; a calculation unit that calculates an estimated value of a loss vector in the execution of the policy based on the result of the execution and the correction value selected in the second round; an update unit that updates a first probability distribution based on the estimated value; and a determination unit that determines a policy for a next round based on the updated first probability distribution.

Abstract: A spacecraft includes: a main-reflection unit configured to reflect and emit a radio wave outside, a sub-reflection unit configured to face the main-reflection unit, a radiator arranged to face the sub-reflection unit and configured to radiate the radio wave in a direction of the sub-reflection unit, a main body configured to be able to accommodate at least one part of the sub-reflection unit therein, and a delivery device connected to the sub-reflection unit and configured to deliver the sub-reflection unit, at least one part of which is accommodated in the main body, to a position where the sub-reflection unit is able to reflect the radio wave radiated from the radiator to the main-reflection unit and cause the main-reflection unit to radiate the radio wave outside.

Abstract: An optimization apparatus includes: a selection unit that selects, as a correction value, an element having a magnitude equal to or smaller than a predetermined value from among convex hulls of a policy set; an acquisition unit that acquires a result of execution of a second policy executed in a second round, the second round being a round a predetermined round before a first round for executing a first policy that is determined from among the policy set; a calculation unit that calculates an estimated value of a loss vector in the execution of the policy based on the result of the execution and the correction value selected in the second round; an update unit that updates a first probability distribution based on the estimated value; and a determination unit that determines a policy for a next round based on the updated first probability distribution.

Abstract: Spacecraft and antenna apparatus that can be more easily deployed from a stored state can include: a main-reflection unit including a plurality of ribs formed to be deployable in a stored state in which the ribs are folded and a sheet body provided between a plurality of the ribs and configured to be capable of reflecting a radio wave radiated from a radiator and emitting the radio wave outside, and a restriction member configured to restrict deployment of the plurality of ribs in the stored state, and release the restriction by operation of a restriction release member different from the main-reflection unit.

Abstract: A display apparatus includes: a display; a display driver that drives the display such that the display displays in accordance with display data; and a host controller that transfers update display data of one screen to the display driver. The display driver includes a light-emission controller that causes a self-luminous elements to emit light, and a memory that stores the update display data of the one screen. The display driver reads the update display data on the memory after an elapse of a predetermined period of time from a drive end time at which the display controller finishes driving in accordance with the update display data and drives the screen by using the read update display data. The display driver drives the self-luminous elements once or more at a timing when the update display data from the host controller to the display driver is not updated.

Abstract: An optimization apparatus (100) includes a setting unit (110) that sets a predetermined non-linear objective function, a policy determination unit (120) that determines a policy to be executed in online optimization in a bandit problem, based on the non-linear objective function, a policy execution unit (130) that acquires a reward as an execution result of the determined policy, an update rate determination unit (140) that determines an update rate of the non-linear objective function by a multiplicative weight update method, based on the acquired reward and the non-linear objective function, and an update unit (150) that updates the non-linear objective function, based on the update rate.

Abstract: A non-transitory computer-readable storage medium storing a navigation monitoring program that causes at least one computer to execute a process, the process includes acquiring direction information that indicates a direction of a vessel and position information that indicates a position of the vessel; and predicting whether or not the vessel navigates along a course by inputting the acquired direction information and the acquired position information to a prediction model generated by machine learning by using direction information and position information for each of a plurality of vessels that has navigated in the past and a correct answer label that indicates whether or not each of the plurality of vessels navigates along a course.

Abstract: To enable selection of useful vector sequence a1,a2, . . . ,aT in a bandit linear optimization algorithm for which a fixed strategy is ineffective, an information processing apparatus (1) includes a vector selection unit (11) that selects a vector at in each round t?[T] (T is any natural number) from a subset A of a d-dimensional vector space Rd (d is any natural number). The vector selection unit (11) uses l1,l2, . . . ,lT?Rd as loss vectors to select the vector at in each round t such that an asymptotic behavior of an expected value of tracking regret R(u)=?t?[T]ltTat??t?[T]ltTut with respect to any comparative vector sequence u1,u2, . . . ,uT?A or an asymptotic behavior ignoring logarithmic factors of the expected value of the tracking regret R(u) is constrained from above by a preset function A(d,T,P), where P is a natural number not less than 1 given by P=|{t?[T?1]|ut?ut+1}|.

Abstract: A purpose of the present invention is to achieve highly accurate optimization for a submodular function when a policy is optimized without preparing data for machine learning. An optimization apparatus (100) according to the present invention includes a determination unit (110) that determines one or more execution policies from a predetermined policy in an objective function having diminishing marginal utility and convexity, a reward acquisition unit (120) that acquires reward, which is an execution result in the objective function for the determined execution policy, a calculation unit (130) that calculates an update rate of the policy based on the reward, and an update unit (140) that updates the policy based on the update rate.

Abstract: In an optimization device, an acquisition means acquires a reward obtained by executing a certain policy. An updating means updates a probability distribution of the policy based on the obtained reward. Here, the updating means uses a weighted sum of the probability distributions updated in a past as a constraint. A determination means determines the policy to be executed, based on the updated probability distributions.

Abstract: In order to enable derivation of useful subsets X1, X2, . . . , XT also for an online submodular optimization problem for which a fixed strategy is not effective, an information processing apparatus (1) includes: an objective function setting unit (11) that sets, as an objective function ft in each round t?[T], a submodular function on a power set 2S of a set S consisting of n elements; and a subset sequence derivation unit (12) that derives a subset sequence X1, X2, . . . , XT?2S in which an expected value of regret ?t?[T]ft(Xt)??t?[T]ft(Xt*) with respect to any benchmark X1*, X2*, . . . , Xt*?2S satisfying ?t?[T?1]dH(Xt*, Xt+1*) is not more than an upper limit Max (n,T,V).

Abstract: An optimization apparatus includes: a selection unit that selects, as a correction value, an element having a magnitude equal to or smaller than a predetermined value from among convex hulls of a policy set; an acquisition unit that acquires a result of execution of a second policy executed in a second round, the second round being a round a predetermined round before a first round for executing a first policy that is determined from among the policy set; a calculation unit that calculates an estimated value of a loss vector in the execution of the policy based on the result of the execution and the correction value selected in the second round; an update unit that updates a first probability distribution based on the estimated value; and a determination unit that determines a policy for a next round based on the updated first probability distribution.

Abstract: A non-transitory computer-readable storage medium storing a navigation monitoring program that causes at least one computer to execute a process, the process includes acquiring direction information that indicates a direction of a vessel and position information that indicates a position of the vessel; and predicting whether or not the vessel navigates along a course by inputting the acquired direction information and the acquired position information to a prediction model generated by machine learning by using direction information and position information for each of a plurality of vessels that has navigated in the past and a correct answer label that indicates whether or not each of the plurality of vessels navigates along a course.

Abstract: A learning unit 81 generates a plurality of sample groups from samples to be used for learning, and generates a plurality of prediction models while inhibiting overlapping of a sample group to be used for learning among the generated sample groups. An optimization unit 82 generates an objective function based on an explained variable predicted by the prediction model and based on a constraint condition for optimization, and optimizes a generated objective function. An evaluation unit 83 evaluates an optimization result by using a sample group that has not been used in learning of a prediction model used for generating an objective function targeted for the optimization.

Abstract: An optimization apparatus (100) includes a setting unit (110) that sets a predetermined non-linear objective function, a policy determination unit (120) that determines a policy to be executed in online optimization in a bandit problem, based on the non-linear objective function, a policy execution unit (130) that acquires a reward as an execution result of the determined policy, an update rate determination unit (140) that determines an update rate of the non-linear objective function by a multiplicative weight update method, based on the acquired reward and the non-linear objective function, and an update unit (150) that updates the non-linear objective function, based on the update rate.

Abstract: A silica formulation comprising cashew nut shell liquid, anacardic acid, cardol, or cardanol, and silica particles, wherein the silica particles have adsorbed therein the cashew nut shell liquid, the anacardic acid, the cardol, or the cardanol, and wherein the silica particles have an average particle diameter of 150 ?m or more.

Abstract: Antenna apparatus and spacecraft to be deployed in a more compactly stored state are disclosed. In an example of the disclosed technology, a spacecraft includes: a main-reflection unit configured to reflect and emit a radio wave outside, a sub-reflection unit configured to face the main-reflection unit, a radiator arranged to face the sub-reflection unit and configured to radiate the radio wave in a direction of the sub-reflection unit, a main body configured to be able to accommodate at least one part of the sub-reflection unit therein, and a delivery device connected to the sub-reflection unit and configured to deliver the sub-reflection unit, at least one part of which is accommodated in the main body, to a position where the sub-reflection unit is able to reflect the radio wave radiated from the radiator to the main-reflection unit and cause the main-reflection unit to radiate the radio wave outside.

Abstract: Antenna apparatus and spacecraft to be deployed in a more easily stored state are disclosed. In an example of the disclosed technology, and antenna apparatus includes: a main-reflection unit including a plurality of ribs formed to be deployable in a stored state in which the ribs are folded and a sheet body provided between a plurality of the ribs and configured to be capable of reflecting a radio wave radiated from a radiator and emitting the radio wave outside, and a restriction member configured to restrict deployment of the plurality of ribs in the stored state, and release the restriction by operation of a restriction release member different from the main-reflection unit.