Abstract: The invention discloses a high impermeability and low thermal conductivity inorganic lightweight foam concrete and its preparation method, including the following mass fraction of raw materials: 1260˜1540 parts of ordinary silicate cement, 20˜60 parts of nano-silica, 460˜740 parts of fly ash, 360˜440 parts of aggregate, 9˜11 parts of redispersible latex powder, 7.2˜8.8 parts of polypropylene fiber, 27˜33 parts of quick-setting agent, 500 parts of fluorine-free foam, 900˜1100 parts of water. 33 parts, 500 parts of fluorine-free foam, 900˜1100 parts of water. The high impermeability and low thermal conductivity inorganic lightweight foam concrete prepared by the present invention has a simple formulation, good workability, light weight and low thermal conductivity, and is suitable for the construction of thermal insulation system for building exterior walls.

Abstract: An electronic device obtains an included angle between a touchscreen (a curved screen with a radian on a side edge) and a horizontal plane; starts a camera in response to the included angle between the touchscreen and the horizontal plane falling within a first preset angle range; obtains a distance between the electronic device and a user and a face yaw degree of the user in response to the camera collecting a face image; and performs anti-mistouch processing on a preset mistouch operation of the user on the touchscreen in response to the distance between the electronic device and the user being less than a first distance threshold and the face yaw degree falling within a second preset angle range.

Abstract: A method includes: a bidirectional translation model to be trained and training data are acquired, the training data including a source corpus and a target corpus corresponding to the source corpus; the bidirectional translation model is trained for N cycles, each cycle of training including a forward translation process of translating the source corpus into a pseudo target corpus and a reverse translation process of translating the pseudo target corpus into a pseudo source corpus and N being a positive integer greater than 1; a forward translation similarity and a reverse translation similarity are acquired; and when a sum of the forward translation similarity and the reverse translation similarity converges, it is determined that training of the bidirectional translation model is completed, where the training completed bidirectional translation model is used to perform translating.

Abstract: The present disclosure provides vermicompost made of aquatic plants and a preparation method of the vermicompost. The preparation method includes: mixing aquatic plant residues and fresh cow dung according to a proportion, and crushing the aquatic plant residues while stirring until even mixing; adding earthworms to a mixture of the aquatic plant residues and the cow dung, where the earthworms transform the mixture of the aquatic plant residues and the cow dung in a forest at 15-35° C., and moisture in the mixture is maintained at 65-75% in the process; and after 35-45 days, separating the earthworms and vermicompost, and drying the vermicompost to obtain the vermicompost made of aquatic plants.

Abstract: A method for compressing a neural network model, includes: obtaining a set of training samples including a plurality of pairs of training samples, each pair of the training samples including source data and target data corresponding to the source data; training an original teacher model by using the source data as an input and using the target data as verification data; training intermediate teacher models based on the set of training samples and the original teacher model, one or more intermediate teacher models forming a set of teacher models; training multiple candidate student models based on the set of training samples, the original teacher model, and the set of teacher models, the multiple candidate student models forming a set of student models; and selecting a candidate student model of the multiple candidate student models as a target student model according to training results of the multiple candidate student models.

Abstract: A method for information processing, includes: obtaining a bilingual vocabulary containing N original bilingual word pairs, N being a positive integer; obtaining an original bilingual training set containing multiple original bilingual training sentence pairs; selecting at least one original bilingual training sentence pair matching any original bilingual word from the original bilingual training set as a bilingual sentence pair candidate; constructing a generalized bilingual sentence pattern based on at least one bilingual sentence pair candidate; and obtaining an augmented bilingual training set containing multiple augmented bilingual training sentence pairs, based on the bilingual vocabulary and the generalized bilingual sentence pattern.

Abstract: An electronic device obtains an included angle between a touchscreen (a curved screen with a radian on a side edge) and a horizontal plane; starts a camera in response to the included angle between the touchscreen and the horizontal plane falling within a first preset angle range; obtains a distance between the electronic device and a user and a face yaw degree of the user in response to the camera collecting a face image; and performs anti-mistouch processing on a preset mistouch operation of the user on the touchscreen in response to the distance between the electronic device and the user being less than a first distance threshold and the face yaw degree falling within a second preset angle range.

Abstract: Systems and methods are described for reducing cold starts code within a serverless code execution system by providing a set of environments reserved for the code. A frontend distribute calls for execution among a set of manager devices that manage environments in the system, distributed in a manner that groups calls together and attempts to distribute calls of the same group to a stable subset of the manager devices. In the case that a user reduces or eliminates the number of environments reserved for the code, a frontend continues to distribute calls for execution of the code to those environments while they continue to be used. This reduces cold starts that might otherwise occur during reduction or elimination of reserved environments.

Abstract: A method includes: a bidirectional translation model to be trained and training data are acquired, the training data including a source corpus and a target corpus corresponding to the source corpus; the bidirectional translation model is trained for N cycles, each cycle of training including a forward translation process of translating the source corpus into a pseudo target corpus and a reverse translation process of translating the pseudo target corpus into a pseudo source corpus and N being a positive integer greater than 1; a forward translation similarity and a reverse translation similarity are acquired; and when a sum of the forward translation similarity and the reverse translation similarity converges, it is determined that training of the bidirectional translation model is completed, where the training completed bidirectional translation model is used to perform translating.

Abstract: Systems and methods are described for reducing cold starts code within a serverless code execution system by providing a set of environments reserved for the code. A frontend distribute calls for execution among a set of manager devices that manage environments in the system, distributed in a manner that groups calls together and attempts to distribute calls of the same group to a stable subset of the manager devices. In the case that a user reduces or eliminates the number of environments reserved for the code, a frontend continues to distribute calls for execution of the code to those environments while they continue to be used. This reduces cold starts that might otherwise occur during reduction or elimination of reserved environments.

Abstract: A method for information processing, includes: obtaining a bilingual vocabulary containing N original bilingual word pairs, N being a positive integer; obtaining an original bilingual training set containing multiple original bilingual training sentence pairs; selecting at least one original bilingual training sentence pair matching any original bilingual word from the original bilingual training set as a bilingual sentence pair candidate; constructing a generalized bilingual sentence pattern based on at least one bilingual sentence pair candidate; and obtaining an augmented bilingual training set containing multiple augmented bilingual training sentence pairs, based on the bilingual vocabulary and the generalized bilingual sentence pattern.

Abstract: A method for compressing a neural network model, includes: obtaining a set of training samples including a plurality of pairs of training samples, each pair of the training samples including source data and target data corresponding to the source data; training an original teacher model by using the source data as an input and using the target data as verification data; training intermediate teacher models based on the set of training samples and the original teacher model, one or more intermediate teacher models forming a set of teacher models; training multiple candidate student models based on the set of training samples, the original teacher model, and the set of teacher models, the multiple candidate student models forming a set of student models; and selecting a candidate student model of the multiple candidate student models as a target student model according to training results of the multiple candidate student models.

Abstract: Systems and methods are described for reducing cold starts code within a serverless code execution system by providing a set of environments reserved for the code. A frontend utilizes a consistent hash ring to distribute calls for execution among a set of manager devices that manage environments in the system, distributed in a manner that groups calls together and attempts to distribute calls of the same group to a stable subset of the manager devices. Each group is assigned an arc, representing a subset of manager devices. When a call is received to execute a set of code that has environments reserved, the frontend distributes the call to a manager device of a reserved arc. When a call is received to execute a set of code that does not have environment reserved, the frontend distributes the call to an arc associated with an arc for unreserved executions.

Abstract: A process for making an oral care composition comprising the step of hydrating a linear sulfated polysaccharide in water in the absence of any salts and followed by adding inorganic salts therein.

Abstract: Method and device for displaying a target object are provided. The method may include: detecting a multi-point touch event for the target object; determining whether the detected multi-point touch event is a predetermined first multi-point touch event, wherein the first multi-point touch event is used to trigger switching displaying of the target object to a private displaying mode; switching displaying of the target object to the private displaying mode if the detected multi-point touch event is the first multi-point touch event, such that only the target object is displayed in the private displaying mode.