Abstract: The invention provides a Saccharomyces cerevisiae strain for producing a human milk lipid substitute. By integrating a heterologous lysophosphatidic acid acyltransferase into Saccharomyces cerevisiae and knocking out its own natural lysophosphatidic acid acyltransferase, the content of palmitic acid (C16:0) at Sn-2 position of triacylglycerol produced by Saccharomyces cerevisiae is increased, to synthesize a human milk lipid substitute. On this basis, a metabolic pathway related gene is knocked out, to further increase the content of human milk lipid substitute in the product. In the present invention, a human milk lipid substitute is de novo synthesized by Saccharomyces cerevisiae for the first time, in which the total fatty acid is 15% or more, and the relative content of C16:0 at Sn-2 position reaches about 60%.

Abstract: An encapsulated polymer flooding method and system for enhancing oil recovery includes: (1) determining reservoir parameters, a well deployment, and a development dynamic state of a target oil reservoir; (2) determining a near-wellbore targeted profile control area and a far-wellbore targeted viscosification area; (3) designing and synthesizing an encapsulated polymer according to conditions of the target oil reservoir; (4) evaluating and determining whether the anti-shearing performance, the sustained release and viscosification performance, the injection performance, and the profile control performance of the encapsulated polymer meet expected performance requirements based on laboratory tests; (5) formulating an injection scheme for an encapsulated polymer flooding field; and (6) monitoring the development dynamic state of the oil reservoir; according to the present disclosure, the polymer is wrapped with a shell layer, which greatly reduces the shear degradation during injection of the polymer and effecti

Abstract: The present invention provides a display panel and manufacturing method thereof, the method including following steps: providing a driving backplane and a light-emitting substrate, and bonding the driving backplane and the light-emitting substrate; patterning the light-emitting substrate to form a pixel array; forming a thin film packaging layer on an outside of the pixel array, the thin film packaging layer completely covering the pixel array; forming quantum dots on top of the thin film packaging layer to form a multi-color display; forming a reflective array between two adjacent quantum dots to avoid optical crosstalk between the pixel arrays. The display panel and the method of the present invention break through the physical limit of the high PPI, high-precision metal mask, which can realize the display of 2000 and higher PPI, and can prevent the optical crosstalk between the pixel arrays.

Abstract: Provided herein is a method of preparing a ceramic material, the method including: providing a ceramic gel including a plurality of metal salts and compressing the ceramic gel thereby inducing stress-induced mineralization of the ceramic gel and formation of the ceramic material, wherein the ceramic gel exists in isolated form.

Abstract: Implementations of this specification provide query optimization methods, apparatuses, and systems for secure multi-party databases. In an implementation, a method includes: receiving a current query associated with a plurality of target database of a multi-party database system, generating a plurality of execution plans for the current query, determining, for each execution plan, a respective cost computation formula of a plurality of cost computation values for computing an execution cost of jointly executing the execution plan by the plurality of target databases, receiving a secure computation result from each of a plurality of query engines corresponding to the plurality of target databases, and determining an optimal execution plan having a lowest cost value in the plurality of cost computation formulas based on the secure computation result.

Abstract: This specification provides example data query methods, apparatuses, and systems for a multi-party secure database. In an example computer-implemented method, a central node receives a data query request from a data requester, where the data query request relates to one or more pieces of target data stored at one or more data providers. The central node determines whether the data query request satisfies respective security requirements of the one or more pieces of target data. In response to determining that the data query request satisfies respective security requirements of the one or more pieces of target data, the central node processes the one or more pieces of target data to obtain result data; and sends the result data to the data requester. The central node can restrict query of the target data by the data requester based on the security requirement of the target data stored at the data provider.

Abstract: Protecting membership and data in secure multi-party computation and communication is provided. A method of protecting membership and data includes generating a padding dataset. A size of the padding dataset is determined based on a data privacy configuration. The method also includes up-sampling a first dataset with the padding dataset, transforming the first dataset, dispatching the first dataset, performing an intersection operation based on the first dataset and a second dataset to generate a third dataset, generating a first share based on the third dataset, and constructing a result based on the first share and a second share.

Abstract: Methods and systems for protecting membership privacy for secure computation and communication are provided. The method includes providing a first dataset, determining a number N based on a data privacy configuration, and generating a padding dataset having more than N elements. An intersection of the padding dataset and the first dataset is empty. The method also includes shuffling the padding dataset, up-sampling the first dataset with a first N elements of the shuffled padding dataset, and performing an intersection operation based on the up-sampled first dataset and a received dataset.

Abstract: Differential privacy composition determination in secure computation and communication of a dataset is provided. A method for differential privacy composition determination includes determining a differential privacy configuration that includes a first privacy parameter and a second privacy parameter, determining a privacy loss distribution, and providing a number of composition operations. The method also includes determining a third privacy parameter and a fourth privacy parameter for a differential privacy composition based on the differential privacy configuration, the privacy loss distribution, and the number of composition operations. The method further includes controlling the dataset based on at least one of the third privacy parameter and the fourth privacy parameter.

Abstract: Protecting data privacy in secure multi-party computation and communication is provided. A method of protecting data privacy includes determining a differential privacy configuration, determining a number of iterations based on a first parameter and a second parameter, and for each of the number of iterations generating a random value and a random noise data; generating a first message and a second message; and performing a transfer based on the first message, the second message, and an input data to output one of the first message and the second message. The method also includes generating a first noise data based on the random noise data in each of the number of iterations, generating a first share based on a first dataset and a second dataset, applying the first noise data to the first share, and constructing a result based on the first share and a second share.

Abstract: Protecting membership in secure multi-party computation and communication is provided. A method of protecting membership includes generating a padding dataset, up-sampling a first dataset with the padding dataset, transforming and dispatching the first dataset, receiving a second dataset, and performing a private set intersection operation based on the first dataset and the second dataset to generate a third dataset. Each of the first dataset, the padding dataset, and/or the second dataset includes one or more personal identification information for each user or member in the dataset.

Abstract: Methods, apparatuses, and systems for protecting privacy are described. In an example, a first party encrypts a first data set, and sends a single-encrypted full data set to a second party. The second party re-encrypts the single-encrypted full data set to obtain a double-encrypted full data set, obtains a single-encrypted sampling data set, and sends the single-encrypted sampling data set to the first party. The first party encrypts the single-encrypted sampling data set to obtain a double-encrypted sampling data set, determines an intersection of the double-encrypted full data set and the double-encrypted sampling data set, performs upsampling on a complement other than the intersection in the double-encrypted sampling data set to obtain a noise-added intersection, and sends an element index of the noise-added intersection to the second party. The second party determines related information of common data based on the element index.

Abstract: Methods and systems for protecting membership privacy in multi-identification secure computation and communication are provided. The method includes providing a dataset having a first set of membership identifications and a second set of membership identifications, determining a number N based on a data privacy configuration, generating and shuffling a first padding dataset, and up-sampling the first set of membership identifications with a first N elements of the shuffled first padding dataset. The method also includes inserting a first N random membership-identification elements to the second set of membership identifications, generating and shuffling a second padding dataset, up-sampling the inserted second set of membership identifications with a first N elements of the shuffled second padding dataset. The method further includes performing an intersection operation based on the up-sampled dataset and a received dataset.

Abstract: Methods and systems for secure computation and communication are described herein. The method includes transforming identifications of a first dataset using a transforming scheme, dispatching the transformed identifications of the first dataset, receiving identifications of a second dataset, transforming the identifications of the second dataset, dispatching the transformed identifications of the second dataset, receiving a set of identifications, generating a first intersection of the received set of identifications and the transformed identifications of second dataset, and determining a first permutation based on the first intersection. The method also includes performing an oblivious shuffling based on the first permutation and a set of attributions to generate a first share. A size of the first share is the same as a size of the first intersection. The method further includes receiving a second share and constructing a first result based on the first share and the second share.

Abstract: A method for accurate fault location in a multi-type cable connection system is provided that includes, first normalizing the measurement parameters, then grouping the data, calculating compensation correction, finding the maximum value of the data, and comparing whether the cable has faults or not. By means of a blended data automatic analysis algorithm of the method, in the presence of multiple cables, data obtained through one-time measurement can be accurately identified to determine specific data of each scanning point that belongs to each cable, and after data allocation is completed, each group of data is separately corrected by using cable parameters corresponding to the group of data, thereby obtaining an accurate fault position and a DTF return loss result.

Abstract: Disclosed is a method for calculating radio interference suffered by a communication device mounted on an electric power tower. The method includes: establishing a relative position model of the communication device mounted on the electric power tower and transmission lines, calculating interference field strength of the communication device on the electric power tower, and determining whether the radio interference field strength at the mounting point satisfies the requirements.

Abstract: A device for connecting a cross member for receiving pivot pins on two lower longitudinal members of a car body for a rail vehicle. The cross member has a transversal part that connects the two longitudinal members to each other in the region of the connection, and a longitudinal part that extends to the closest car front. The lower longitudinal members extend over the complete length of the car body and consist of multi-chamber hollow profiles made of a fibre composite material. The number of chambers of the multi-chamber hollow profile of each longitudinal member is reduced in the region of the connection such that the wall material of at least one chamber was removed in such a way that the webs to the adjacent chambers are exposed. At these places, load-introducing elements engage, to which load-introducing elements the cross member is attached.

Abstract: Methods, systems, and apparatuses, including computer programs encoded on computer storage media, for federal learning are disclosed. One exemplary method may include receiving, by a client device from a server device, model parameters of a global machine learning model being collaboratively trained by the client device and the server device; constructing, by the client device, a local machine learning model based on the model parameters of the global machine learning model, wherein the local machine learning model comprises two branches corresponding to two loss functions; training, by the client device, the local machine learning model based on local training data, wherein the training comprises updating the model parameters to minimize a first loss function of the two loss functions and maximize a second loss function of the two loss functions; and sending, by the client device, the updated model parameters back to the server device.

Abstract: Methods, systems, and apparatuses, including computer programs encoded on computer storage media, for federal learning with differentially private (DP) intrinsic quantization are disclosed. One exemplary method may include obtaining a parameter vector of a local model; updating the parameter vector of the local model by adding a plurality of noise vectors to the parameter vector of the local model; performing quantization to the updated parameter vector to obtain a quantized parameter vector, wherein the quantization maps coordinates in the updated parameter vector to a set of discrete finite values; and transmitting, to a server, the quantized parameter vector and at least one of the plurality of noise vectors for the server to update a global model.

Abstract: Methods, systems, and apparatuses, including computer programs encoded on computer storage media, for federal learning with differentially private (DP) intrinsic quantization are disclosed. One exemplary method may include obtaining a parameter vector of a local model; updating the parameter vector of the local model by adding a plurality of noise vectors to the parameter vector of the local model; performing quantization to the updated parameter vector to obtain a quantized parameter vector, wherein the quantization maps coordinates in the updated parameter vector to a set of discrete finite values; and transmitting, to a server, the quantized parameter vector and at least one of the plurality of noise vectors for the server to update a global model.