Abstract: A method and a system for simulating contact and interaction between a support member and a chamber surrounding rock mass are provided in the application.

Abstract: A bearing unit includes a radially inner ring, a radially outer ring comprising a lubricant inlet, a plurality of rolling bodies interposed between the inner ring and the outer ring, and a first seal. The first seal includes an axially outer sealing ring, an axially inner sealing ring, and a first sealing lip formed on an axially inner surface of the axially inner sealing ring and extending axially inward to make sealing contact with an axially outer surface of the axially inner sealing ring. The first sealing lip prevents lubricant from flowing from an interior of the bearing unit to an exterior of the bearing unit at a first axial end of the bearing unit, and the first seal is disposed axially outside the inlet of the radially outer ring.

Abstract: The present application discloses a method of identifying and characterising intact pathogens in a sample using a fluorescence imaging system, in particular for characterising bacteria and viruses, and associated systems and kits for implementing the imethod. The method involves incubating a sample with fluorescent probes from at least two of the following categories: a fluorescent probe for binding to a pathogen surface carbohydrate; a nucleic acid stain; and a membrane stain. The sample is then imaged using fluorescence imaging apparatus to detect candidate objects, and the fluorescence characteristics of the candidate objects used to identify whether the object is a pathogen and, if so, the type of pathogen. Particularly preferred implementations employ flow to improve data acquisition, and machine learning classification algorithms to distinguish different pathogen types.

Abstract: The present application discloses a measurement device incorporating a modular microfluidic system comprising standard modules which can be networked together via standardised connectors in a range of configurations. The measurement device includes a master microfluidic module connectable to an external pressure source, which has a socket for receiving a reagent cartridge, and can be used to drive flow of reagent from the reagent cartridge to an analysis chip. The master microfluidic module also has specialised pressure output and reagent input connectors which can be attached to secondary microfluidic modules, so that the master microfluidic modules can drive reagent from the secondary microfluidic modules to an analysis chip supported on the main microfluidic module. The application also describes a range of specialised cartridge types for use with the measurement device.

Abstract: The present disclosure provides a distributed storage method, a computer device, and a storage medium. The method includes: grouping a file to be stored to form a plurality of data packets; dividing all the data packets into at least three data fragments, in which, each data fragment includes a part of the plurality of data packets, and each data packet is added to at least two data fragments; storing each data fragment in a distributed storage node to perform distributed storage; recording a corresponding relationship between the data fragments and the data packets and a corresponding relationship between storage nodes and the data fragments; and deleting the file to be stored in local.

Abstract: The invention provides a method of investigating the spatial organisation of proteins in or on cells, and the use of that spatial organisation information to inform decisions about medical interventions, especially in relation to cancer treatments including CAR-T therapy. The method involves detecting one or more species of proteins on each of the plurality of cells; obtaining respective spatial coordinates of the detected proteins within the plurality of cells; detecting boundaries of the plurality of cells; and constructing a data vector based on the obtained spatial coordinates and the detected boundaries.

Abstract: A detection system suitable for detecting pathogens present in a sample is presented. The detection system includes: a microfluidic channel configured to receive a sample solution containing a target biochemical component and configured to support a flow of the sample solution; an imaging lens; an excitation light source configured to emit an excitation light into a focal volume of the imaging lens; and a detector. The microfluidic channel comprises an observation section where the flow is aligned with respect to a central axis of the imaging lens such that the focal volume is within the observation section and the target biochemical component moves through a focal plane of the imaging lens during a movement along the observation section. The detector is configured to detect a light signal emitted by the target biochemical component on excitation with the excitation light.

Abstract: A method, an apparatus, a device and a medium for performing a review based on a blockchain are provided. When performed by a reviewing party, the method includes: determining a review conclusion and anonymous identity data of the reviewing party, in response to a review request of a to-be-reviewed party acquired from a review organization party; and generating a chaining transaction request including the review conclusion and the anonymous identity data, to write the review conclusion and the anonymous identity data into a blockchain.

Abstract: The present application discloses a method and an apparatus for processing transaction requests in a blockchain, a device and a medium, which relate to blockchain technologies. The method includes: aggregating transaction requests to be selected with dependency relationships in a blockchain network to obtain at least one transaction request set; determining candidate factor intervals to which the transaction request set belongs, where the factor interval is used to evaluate a probability that the transaction request set participates in a block generation process; and selecting a current target factor interval from the candidate factor intervals, and selecting a current target transaction request set participating in the block generation process from candidate transaction request sets corresponding to the current target factor interval.

Abstract: Provided are a blockchain-based data verification method and apparatus, a device, and a storage medium, relating to the field of computer technology, for example, a blockchain technology, and applicable to cloud computing and cloud services. The solution includes acquiring a data verification transaction request initiated by a data owner; generating a response signature value in the current verification round according to the data verification transaction request; and sending the response signature value to a blockchain network. The response signature value is configured to instruct the blockchain network to verify whether the to-be-verified data block is stored in a data storer.

Abstract: Provided are a blockchain-based data verification method and apparatus, a device, and a storage medium, relating to the field of computer technology, for example, a blockchain technology, and applicable to cloud computing and cloud services. The solution includes acquiring a data verification transaction request initiated by a data owner; generating a response signature value in the current verification round according to the data verification transaction request; and sending the response signature value to a blockchain network. The response signature value is configured to instruct the blockchain network to verify whether the to-be-verified data block is stored in a data storer.

Abstract: The embodiments of the present disclosure provide a private data processing method, a device and a medium, and relate to data security technologies. The method includes: initiating a user request to an intermediate server according to an input of a user to request the intermediate server to perform intermediate business processing according to the user request and to initiate a target business processing request to a business server; obtaining business result data encrypted with an account key of the user and fed back by the business server based on the target business processing request from the intermediate server; and using the account key of the user to decrypt the encrypted business result data.

Abstract: Provided are a training method and apparatus for a distributed machine learning model, a device and a medium. The training method includes: acquiring a first homomorphic encryption intermediate parameter and a second homomorphic encryption intermediate parameter; generating a first interference parameter, and forming a first encryption interference parameter by encrypting the first interference parameter by using a second homomorphic public key of a second participant; performing calculation based on the first homomorphic encryption intermediate parameter, the second homomorphic encryption intermediate parameter, the first encryption interference parameter and the homomorphic calculation function of a first submodel to generate a first encryption key parameter.

Abstract: Provided are a blockchain-based data processing method and apparatus, a device, and a storage medium, which relate to the field of blockchain technology and can be used for cloud computing and cloud services. The specific implementation is: in response to a data usage request initiated by a data user, acquiring a signature result from an entrusted signer associated with to-be-used data after the entrusted signer audits the data user; calling a lease smart contract according to the data usage request to determine a signature verification key of the entrusted signer associated with the to-be-used data; performing verification on the signature result according to the signature verification key; and in a case where the verification passes, feeding back the to-be-used data to the data user. Therefore, the usage security of data can be improved.

Abstract: A method is presented for obtaining an optically-sectioned image of a sample. The method comprises: providing an illumination beam through an imaging lens such that the illumination beam is focused at a focal plane of the imaging lens; obtaining a plurality of images of the sample. Obtaining comprises providing the illumination beam at a plurality of lateral positions on the focal plane and obtaining each image at each lateral position of the illumination beam, such that an intensity of the illumination beam on a portion of the sample at the focal plane varies for each of the plurality of lateral positions. The method further comprises detecting, using a detector, signals collected via the imaging lens; and constructing the optically-sectioned image based on the plurality of images.

Abstract: A compact microscope including an enclosure, a support element, a primary optical support element located within the enclosure and supported by the support element, at least one vibration isolating mount between the support element and the primary optical support element, a sample stage supported on the primary optical support element to support a sample, a return optical system to receive returned light from a sample and transmit returned light to a detection apparatus, wherein the return optical system is mounted on the primary optical support element, and wherein the compact microscope include a at least one of the following elements; a) an objective lens system, b) a temperature-control system, and c) the return optical system being operable to separate returned light into at least a first wavelength band and a second wavelength band.

Abstract: Provided are a blockchain-based data processing method and apparatus, a device, and a storage medium, which relate to the field of blockchain technology and can be used for cloud computing and cloud services. The specific implementation is: in response to a data usage request initiated by a data user, acquiring a signature result from an entrusted signer associated with to-be-used data after the entrusted signer audits the data user; calling a lease smart contract according to the data usage request to determine a signature verification key of the entrusted signer associated with the to-be-used data; performing verification on the signature result according to the signature verification key; and in a case where the verification passes, feeding back the to-be-used data to the data user. Therefore, the usage security of data can be improved.

Abstract: Provided are a method for training a model based on homomorphic encryption, a device, and a storage medium. The specific implementation is: acquiring homomorphic encrypted data in a model training process; determining a hyperparameter of a model approximation function according to state data present in the model training process, where the model approximation function is used for replacing a model original function involved in the model training process; and inputting the homomorphic encrypted data to the model approximation function for calculation, and performing model training according to a calculation result. Therefore, the application flexibility of functions is improved while achieving the protection of data privacy in the model training process.

Abstract: Provided are a training method and apparatus for a neural network model, a device and a storage medium. the training method includes: acquiring a feature representation ciphertext of a sample user from each feature provider of at least two feature providers separately; and determining the loss error ciphertext and the gradient ciphertext of a tag neuron in a tag sub-neural network based on the tag sub-neural network according to the feature representation ciphertext and a tag ciphertext; controlling the each feature provider to decrypt the gradient ciphertext of the tag neuron to obtain a decryption result and updating the network parameter of the tag neuron according to the decryption result acquired from the each feature provider; and sending the loss error ciphertext of an association neuron to the each feature provider.

Abstract: Provided are a training method and apparatus for a neural network model, a device and a storage medium. The training method includes: acquiring a first feature representation ciphertext of a sample user from a first party; determining the tag ciphertext of the sample user and determining the loss error ciphertext and the gradient ciphertext of a second neuron in a second sub-neural network based on the second sub-neural network according to the first feature representation ciphertext and the tag ciphertext; controlling the first party to decrypt the gradient ciphertext of the second neuron to obtain a decryption result and updating the network parameter of the second neuron according to the decryption result acquired from the first party; and sending the loss error ciphertext of an association neuron to the first party.