Abstract: A system can identify an attribute-based access control policy that comprises a pair comprising a permission policy and a condition policy that is associated with performing an operation on a computing resource. The system can identify that the attribute-based access control policy corresponds to a role policy that is associated with the account. The system can determine whether the account and the role policy satisfy the attribute-based access control policy with respect to the operation, wherein the determining comprises evaluating whether the computing resource and a required permission of the permission policy is declared in the role policy, and evaluating whether the account and the role policy satisfy the condition policy evaluates to true based on attributes of the account and attributes of the computing resource. The system can, in response to determining that the account satisfy the permission policy and the condition policy, perform the operation on the computing resource.

Abstract: A data processing method, an apparatus, a device, and a medium in a blockchain fund settlement system are provided. A data processing method in a blockchain fund settlement system, performed by at least one processor of a settlement institution terminal, includes: querying, on a blockchain, a settlement request that is to be processed by the settlement institution terminal between a fund settlement initiator and a fund settlement recipient, the settlement request being generated by an initiator terminal of the fund settlement initiator and recorded on the blockchain; receiving the settlement request based on the querying; and generating a settlement result of a settlement performed according to the settlement request, and recording the settlement result on the blockchain.

Abstract: A method and a system for using machine learning technology to optimize a scheduling strategy for establishing contact with a customer are provided. The method includes: receiving a data set that relates to a customer account; analyzing the data set to determine at least one proposed schedule for an attempt to contact the customer; and generating, based on a result of the analysis, a report that includes the proposed schedule. The analysis may be performed by applying a machine learning model that is trained by using historical data that relates to interactions associated with the customer.

Abstract: A hydraulic door closer capable of reducing oil-pressure therein at high temperature, comprises a housing with an oil chamber, an oil storage cavity, and a piston in the housing of the hydraulic door closer. The oil storage cavity is in communication with the oil chamber; when the oil temperature increases, hydraulic oil in the oil chamber and oil storage cavity generates an increased oil pressure move the piston, whereby volume of the oil storage cavity is enlarged, such that oil from the chamber will flow into the cavity, to reduce the oil pressure of the chamber and cavity. When the oil temperature decreases, the oil pressure in the chamber and cavity is reduced, whereby the storage piston restores its original position, whereby volume of the cavity will be reduced, and the oil in the cavity flows back into the chamber. The pressure in the oil chamber is reduced when the hydraulic oil expands due to increased temperature to prevent failure of the seal and to avoid hydraulic oil leakage.

Abstract: A textured press plate for use in the manufacture of decorative laminate is provided. The textured press plate is manufactured by the method include the steps of applying a UV curable acrylate mixture to a surface of a press plate substrate, irradiating the UV curable acrylate mixture with LED precure by excimer UV to create a UV-irradiated layer having a surface exhibiting micro-folding, and fully curing the UV-irradiated layer to form a textured coating layer.

Abstract: A hydraulic door closer capable of reducing oil-pressure therein at high temperature, comprises a housing with an oil chamber, an oil storage cavity, and a piston in the housing of the hydraulic door closer. The oil storage cavity is in communication with the oil chamber; when the oil temperature increases, hydraulic oil in the oil chamber and oil storage cavity generates an increased oil pressure move the piston, whereby volume of the oil storage cavity is enlarged, such that oil from the chamber will flow into the cavity, to reduce the oil pressure of the chamber and cavity. When the oil temperature decreases, the oil pressure in the chamber and cavity is reduced, whereby the storage piston restores its original position, whereby volume of the cavity will be reduced, and the oil in the cavity flows back into the chamber. The pressure in the oil chamber is reduced when the hydraulic oil expands due to increased temperature to prevent failure of the seal and to avoid hydraulic oil leakage.

Abstract: Embodiments of the disclosure provide an information processing method, an information processing apparatus, and a storage medium. The method includes: obtaining source data; encoding sub-data in the source data based on a target word feature vector to obtain hidden feature vectors corresponding to the sub-data, the target word feature vector representing a sentiment feature standard; obtaining a word feature vector corresponding to the source data based on the hidden feature vectors corresponding to the sub-data; and inputting the word feature vector into a preset sentiment classification network to obtain a result of sentiment polarity prediction of the source data. According to the embodiments of the disclosure, the accuracy of sentiment polarity prediction may be improved.

Abstract: The disclosure discloses a method and an apparatus for training a dialog generation model, and a dialog generation method and apparatus, and relates to the field of artificial intelligence. The method includes: encoding a context sample to obtain a first latent variable, and recognizing the first latent variable to obtain a prior latent variable; encoding a response sample to obtain a second latent variable; encoding a response similar sample to obtain a third latent variable; performing recognition according to a Gaussian mixture distribution of the first latent variable, the second latent variable, and the third latent variable to obtain a posterior latent variable; and matching the prior latent variable with the posterior latent variable, and performing adversarial training on a dialog generation model.

Abstract: A textured release sheet includes a substrate including a top side and a bottom side. A matte surface is formed on the bottom side thereof, wherein the matte surface of the surfacing material is a coating of an radiation curable material applied to the bottom side of the substrate. The coating is an UV curable acrylate mixture applied to the substrate, wherein the UV curable acrylate mixture is irradiated with UV-radiation via an excimer laser emitter to produce a UV-irradiated layer wherein the UV curable acrylate mixture is only crosslinked on the surface thereof, which produces a matting surface through the effects of a micro-convolution.

Abstract: A method for determining an optical constant of a material includes: acquiring ellipsometric parameters; obtaining a optical constant of the material corresponding to the ellipsometric parameters by a machine learning model; the machine learning model including a mapping relationship between the ellipsometric parameters and the material optical constant of the material corresponding to the ellipsometric parameters. The method uses the machine learning model to implement an automatic fitting of ellipsometric parameters. In the method, the optical constant of the material is calculated by a machine learning model, which no longer depends on the experiences of the experimenters, thereby reducing requirements for the operator, accelerating the fitting of the data curve when calculating the optical constants of the material and improving the operation efficiency.

Abstract: The disclosure discloses a method and an apparatus for training a dialog generation model, and a dialog generation method and apparatus, and relates to the field of artificial intelligence. The method includes: encoding a context sample to obtain a first latent variable, and recognizing the first latent variable to obtain a prior latent variable; encoding a response sample to obtain a second latent variable; encoding a response similar sample to obtain a third latent variable; performing recognition according to a Gaussian mixture distribution of the first latent variable, the second latent variable, and the third latent variable to obtain a posterior latent variable; and matching the prior latent variable with the posterior latent variable, and performing adversarial training on a dialog generation model.

Abstract: A hydraulic door closer capable of reducing oil-pressure therein at high temperature, comprises a housing with an oil chamber, an oil storage cavity, and a piston in the housing of the hydraulic door closer. The oil storage cavity is in communication with the oil chamber; when the oil temperature increases, hydraulic oil in the oil chamber and oil storage cavity generates an increased oil pressure move the piston, whereby volume of the oil storage cavity is enlarged, such that oil from the chamber will flow into the cavity, to reduce the oil pressure of the chamber and cavity. When the oil temperature decreases, the oil pressure in the chamber and cavity is reduced, whereby the storage piston restores its original position, whereby volume of the cavity will be reduced, and the oil in the cavity flows back into the chamber. The pressure in the oil chamber is reduced when the hydraulic oil expands due to increased temperature to prevent failure of the seal and to avoid hydraulic oil leakage.

Abstract: Embodiments of the disclosure provide an information processing method, an information processing apparatus, and a storage medium. The method includes: obtaining source data; encoding sub-data in the source data based on a target word feature vector to obtain hidden feature vectors corresponding to the sub-data, the target word feature vector representing a sentiment feature standard; obtaining a word feature vector corresponding to the source data based on the hidden feature vectors corresponding to the sub-data; and inputting the word feature vector into a preset sentiment classification network to obtain a result of sentiment polarity prediction of the source data. According to the embodiments of the disclosure, the accuracy of sentiment polarity prediction may be improved.

Abstract: A hydraulic door closer capable of reducing oil-pressure therein at high temperature, comprises a housing with an oil chamber, an oil storage cavity, and a piston in the housing of the hydraulic door closer. The oil storage cavity is in communication with the oil chamber; when the oil temperature increases, hydraulic oil in the oil chamber and oil storage cavity generates an increased oil pressure move the piston, whereby volume of the oil storage cavity is enlarged, such that oil from the chamber will flow into the cavity, to reduce the oil pressure of the chamber and cavity. When the oil temperature decreases, the oil pressure in the chamber and cavity is reduced, whereby the storage piston restores its original position, whereby volume of the cavity will be reduced, and the oil in the cavity flows back into the chamber. The pressure in the oil chamber is reduced when the hydraulic oil expands due to increased temperature to prevent failure of the seal and to avoid hydraulic oil leakage.

Abstract: A hydraulic door closer capable of reducing oil-pressure therein at high temperature, comprises a housing with an oil chamber, an oil storage cavity, and a piston in the housing of the hydraulic door closer. The oil storage cavity is in communication with the oil chamber; when the oil temperature increases, hydraulic oil in the oil chamber and oil storage cavity generates an increased oil pressure move the piston, whereby volume of the oil storage cavity is enlarged, such that oil from the chamber will flow into the cavity, to reduce the oil pressure of the chamber and cavity. When the oil temperature decreases, the oil pressure in the chamber and cavity is reduced, whereby the storage piston restores its original position, whereby volume of the cavity will be reduced, and the oil in the cavity flows back into the chamber. The pressure in the oil chamber is reduced when the hydraulic oil expands due to increased temperature to prevent failure of the seal and to avoid hydraulic oil leakage.

Abstract: A textured release sheet includes a substrate, which has been electron beam treated, including a top side and a bottom side. A matte surface is formed on the bottom side thereof, wherein the matte surface of the surfacing material is a coating of an radiation curable material applied to the bottom side of the substrate. The coating is an UV curable acrylate mixture applied to the substrate, wherein the UV curable acrylate mixture is irradiated with UV-radiation via an excimer laser emitter to produce a UV-irradiated layer wherein the UV curable acrylate mixture is only crosslinked on the surface thereof, which produces a matting surface through the effects of a micro-convolution.

Abstract: A surfacing material includes a substrate having a top side and a bottom side. A matte surface is formed on the bottom side thereof, wherein the matte surface of the surfacing material is a coating of an electron beam radiation curable material applied to the bottom side of the substrate. The coating is an epoxy acrylic or urethane acrylic laid upon the substrate. The epoxy acrylic or urethane acrylic is irradiated with UV-radiation to produce a UV-radiation layer wherein the epoxy acrylic or urethane acrylic is neither hardened nor is an entire layer of the epoxy acrylic or urethane acrylic crosslinked but rather the epoxy acrylic or urethane acrylic only crosslinked on the surface thereof, which produces a matting surface through the effects of a micro-convolution.

Abstract: A method for determining an optical constant of a material includes: acquiring ellipsometric parameters; obtaining a optical constant of the material corresponding to the ellipsometric parameters by a machine learning model; the machine learning model including a mapping relationship between the ellipsometric parameters and the material optical constant of the material corresponding to the ellipsometric parameters. The method uses the machine learning model to implement an automatic fitting of ellipsometric parameters. In the method, the optical constant of the material is calculated by a machine learning model, which no longer depends on the experiences of the experimenters, thereby reducing requirements for the operator, accelerating the fitting of the data curve when calculating the optical constants of the material and improving the operation efficiency.

Abstract: A hydraulic door closer capable of reducing oil-pressure therein at high temperature, comprises a housing with an oil chamber, an oil storage cavity, and a piston in the housing of the hydraulic door closer. The oil storage cavity is in communication with the oil chamber; when the oil temperature increases, hydraulic oil in the oil chamber and oil storage cavity generates an increased oil pressure move the piston, whereby volume of the oil storage cavity is enlarged, such that oil from the chamber will flow into the cavity, to reduce the oil pressure of the chamber and cavity. When the oil temperature decreases, the oil pressure in the chamber and cavity is reduced, whereby the storage piston restores its original position, whereby volume of the cavity will be reduced, and the oil in the cavity flows back into the chamber. The pressure in the oil chamber is reduced when the hydraulic oil expands due to increased temperature to prevent failure of the seal and to avoid hydraulic oil leakage.