Abstract: A system for authentication for a user device associated with a user, said system comprising: a processing system to generate a first user interface running on a screen of said user device, said first user interface comprising one or more components, wherein said one or more components comprises a first icon, which when activated, directs a user to a second user interface to select a secret pattern, a second icon, which when activated, generates a current randomly populated keyboard, further wherein said processing system provides a current Personal Identification Number (PIN) to said user by correlating said secret pattern with the current randomly populated keyboard, and a regular keyboard for said user to enter a PIN for authentication.

Abstract: A device and a method for experimental exploitation of natural gas hydrates in full-sized production wells are provided. The device includes a full-diameter well, and the full-diameter well includes a heating circulation tube, a temperature sensor tube, an upper sealing unit and a lower sealing unit. Perforations are provided along a body of the full-diameter well. A reactor includes an upper cover, a lower cover, and a reactor body. The method is conducted by using the device and the reactor. The device and method allow simulation of sand-control wellbores in actual exploitation of natural gas hydrates, and realize horizontal and vertical sand-control experiments.

Abstract: A battery box and a battery pack are provided. The battery box includes a bottom plate and a side wall. The side wall and the bottom plate enclose a space for accommodating a battery and/or an electrical component. The battery box further includes a lifting column integrally formed with the side wall and a fixed sealing block sleeved on the lifting column. The bottom plate is located between the side wall and the fixed sealing block. The side wall is fixedly connected to the bottom plate through the fixed sealing block. A first sealing member for sealing a gap between the fixed sealing block and the bottom plate is arranged between the fixed sealing block and the bottom plate. The fixed sealing block is sealingly connected to the lifting column.

Abstract: The present invention discloses a pharmaceutical composition comprising azvudine and an EGFR/TKI inhibitor. The pharmaceutical composition of the present invention shows a good synergistic effect in antitumor, and can delay the generation of drug resistance and improve the therapeutic effect and safety, thereby achieving the goal of prolonging the survival of patients.

Abstract: A system for authentication for a user device associated with a user, said system comprising: a processing system to generate a first user interface running on a screen of said user device, said first user interface comprising one or more components, wherein said one or more components comprises a first icon, which when activated, directs a user to a second user interface to select a secret pattern, a second icon, which when activated, generates a current randomly populated keyboard, further wherein said processing system provides a current Personal Identification Number (PIN) to said user by correlating said secret pattern with the current randomly populated keyboard, and a regular keyboard for said user to enter a PIN for authentication.

Abstract: A system and method for identifying lithology based on images and XRF mineral inversion solving the problem that conventional lithology identification relies on manual work, which is time-consuming, subjective and can cause misjudgment. The identification system includes an autonomous vehicle; an X ray fluorescence spectrometer probe, and tests surrounding rock element information; image collection device; and vehicle-mounted processor. The processor inverts the received surrounding rock element information into mineral information based on a Barthes-Niggli standard mineral calculation method; and receive surrounding rock images and a corresponding inclination angle thereof, convert the surrounding rock images into image information in a one-dimensional vector format, splice the image and mineral information which is in a one-dimensional format, and distinguish the spliced information based on a preset neural network to identify rock lithology.

Abstract: Provided are a canine parvovirus (CPV) nanobody CPV-VHH-E3 and application thereof, belonging to the technical field of immunology. The nanobody CPV-VHH-E3 includes heavy chain variable region with amino acid sequence as shown in SEQ ID NO: 1, and a nucleotide sequence of a gene encoding the nanobody CPV-VHH-E3 is shown in SEQ ID NO: 2. The present application constructs a nanobody immune library for CPV by phage-display technology, and obtains specific anti-CPV nanobody CPV-VHH-E3 by screening, which is verified to specifically bind CPV through experiments, and is applicable to develop a nanobody preparation for clinical diagnosis and treatment of CPV, providing a certain theoretical support for the application of nanobodies in the field of veterinary biological products.

Abstract: Provided are a canine parvovirus (CPV) nanobody CPV-VHH-E3 and application thereof, belonging to the technical field of immunology. The nanobody CPV-VHH-E3 includes heavy chain variable region with amino acid sequence as shown in SEQ ID NO: 1, and a nucleotide sequence of a gene encoding the nanobody CPV-VHH-E3 is shown in SEQ ID NO: 2. The present application constructs a nanobody immune library for CPV by phage-display technology, and obtains specific anti-CPV nanobody CPV-VHH-E3 by screening, which is verified to specifically bind CPV through experiments, and is applicable to develop a nanobody preparation for clinical diagnosis and treatment of CPV, providing a certain theoretical support for the application of nanobodies in the field of veterinary biological products.

Abstract: The present disclosure provides a canine parvovirus (CPV) nanobody CPV-VHH-H1 and use thereof, belonging to the technical field of immunology. A heavy-chain variable region sequence of the nanobody CPV-VHH-H1 has the amino acid sequence set forth in SEQ ID NO: 1; and a gene encoding the nanobody CPV-VPP-H1 has the nucleotide sequence set forth in SEQ ID NO: 2. In the present disclosure, a nanobody immune library of the CPV is constructed by a phage display technology, a specific anti-CPV nanobody CPV-VHH-H1 is obtained by screening, and it is verified by experiments that the nanobody may specifically bind to the CPV. The present disclosure is expected to develop a new nanobody preparation for use in clinical diagnosis and treatment of the CPV, and provides a certain theoretical reserve for applying the nanobody to the field of veterinary biological products.

Abstract: An advanced geological prediction method and system based on perception while drilling, and relates to advanced geological prediction. The solution includes: acquiring drilling parameters during drilling; obtaining physical and mechanical parameters of tunnel surrounding rocks by inversion based on drilling parameters; acquiring rock slag or powder based on flushing fluid collected during drilling; acquiring geochemical characteristic parameters of rock slag or powder; and obtaining at least one adverse geology recognition result and surrounding rock classification result using a pre-trained deep learning model, and realizing advanced geological prediction. Combined with advanced geological drilling, the solution reflects geological characteristics from changes of physical and mechanical properties of tunnel surrounding rocks and changes of geochemical characteristic parameters.

Abstract: A system and method for identifying lithology based on images and XRF mineral inversion solving the problem that conventional lithology identification relies on manual work, which is time-consuming, subjective and can cause misjudgment. The identification system includes an autonomous vehicle; an X ray fluorescence spectrometer probe, and tests surrounding rock element information; image collection device; and vehicle-mounted processor. The processor inverts the received surrounding rock element information into mineral information based on a Barthes-Niggli standard mineral calculation method; and receive surrounding rock images and a corresponding inclination angle thereof, convert the surrounding rock images into image information in a one-dimensional vector format, splice the image and mineral information which is in a one-dimensional format, and distinguish the spliced information based on a preset neural network to identify rock lithology.

Abstract: A TBM-mounted system and method for quickly predicting compressive strength of rocks based on rock mineral composition and fabric characteristics. The system is mounted on gripper shoe's side surface of an open-type TBM, and includes a protective device, hydraulic device, servo motor, detection device, control system and a data comprehensive analysis platform. The hydraulic device is mounted on the protective device's side wall, for controlling movement of detection device horizontally. The servo motor controls rotation of detection device. The detection device collects a variety of geological parameters of target surrounding rock affecting compressive strength of rock and providing basic data for compressive strength prediction of rock. The control system controls work of hydraulic device, servo motor and each detection device.

Abstract: The disclosure belongs to the technical field of integrated navigation under non-ideal conditions, and in particular relates to a robust filtering method for integrated navigation based on a statistical similarity measure (SSM). In view of the situation that there are normal beam measurement information of the DVL and beam measurement information with a large error simultaneously in a SINS/DVL tightly integrated system, and aiming at the problem that the existing robust filters of an integrated navigation system process the measurement information in a rough manner and are likely to lead to loss of normal measurement information, the disclosure proposes a novel robust filtering method based on decomposition of multi-dimensional measurement equations and the SSM.

Abstract: Methods and systems are presented for providing a computer platform that manages the impacts of government regulations on existing software processes of an online service provider. A regulation document is obtained from a government agency. The regulation document is processed, and legal obligations relevant to an online service provider are extracted from the regulation document. An ensemble machine learning model is used to recommend, for each of the legal obligations, software controls that can be implemented within one or more software processes of the online service provider to mitigate a risk of the legal obligations. The ensemble machine learning model may include an attribute-based model and a text-based model. An explainable visual interface is provided to present the recommended software controls and context that indicates to a user how the software controls are determined for the legal obligations.

Abstract: Methods and systems are presented for providing a computer platform that manages the impacts of government regulations on existing software processes of an online service provider. A regulation document is obtained from a government agency. The regulation document is processed, and legal obligations relevant to an online service provider are extracted from the regulation document. An ensemble machine learning model is used to recommend, for each of the legal obligations, software controls that can be implemented within one or more software processes of the online service provider to mitigate a risk of the legal obligations. The ensemble machine learning model may include an attribute-based model and a text-based model. An explainable visual interface is provided to present the recommended software controls and context that indicates to a user how the software controls are determined for the legal obligations.

Abstract: Methods and systems are presented for providing a computer platform that manages the impacts of government regulations on existing software processes of an online service provider. A regulation document is obtained from a government agency. The regulation document is processed, and legal obligations relevant to an online service provider are extracted from the regulation document. An ensemble machine learning model is used to recommend, for each of the legal obligations, software controls that can be implemented within one or more software processes of the online service provider to mitigate a risk of the legal obligations. The ensemble machine learning model may include an attribute-based model and a text-based model. An explainable visual interface is provided to present the recommended software controls and context that indicates to a user how the software controls are determined for the legal obligations.

Abstract: Methods and systems are presented for providing a computer platform that manages the impacts of government regulations on existing software processes of an online service provider. A regulation document is obtained from a government agency. The regulation document is processed, and legal obligations relevant to an online service provider are extracted from the regulation document. An ensemble machine learning model is used to recommend, for each of the legal obligations, software controls that can be implemented within one or more software processes of the online service provider to mitigate a risk of the legal obligations. The ensemble machine learning model may include an attribute-based model and a text-based model. An explainable visual interface is provided to present the recommended software controls and context that indicates to a user how the software controls are determined for the legal obligations.

Abstract: Target objects are simulated using different triangle mesh sizes to improve processing performance. To perform the simulation, a seed point for the target object within a constraint volume is determined, the seed point representing a vertex of a first triangle forming part of the target object. One or more hexagonal orbits of triangles adjacent the first triangle are propagated, whereby the hexagonal orbits of triangles form the target object. The size of each triangle is determined based upon dimensions of the target object, and the target object is generated.

Abstract: A system for authentication for a user device associated with a user, said system comprising: a processing system to generate a first user interface running on a screen of said user device, said first user interface comprising one or more components, wherein said one or more components comprises a first icon, which when activated, directs a user to a second user interface to select a secret pattern, a second icon, which when activated, generates a current randomly populated keyboard, further wherein said processing system provides a current Personal Identification Number (PIN) to said user by correlating said secret pattern with the current randomly populated keyboard, and a regular keyboard for said user to enter a PIN for authentication.