Abstract: A culture medium and culture method for inducing olfactory mucosa mesenchymal stem cells into olfactory ensheathing cells are provided, belonging to the technical field of cell induction and culture. The culture medium provided in the present disclosure is mainly composed of cellular trophic factors, and does not contain animal proteins. The present disclosure further provides a method for inducing olfactory mucosa mesenchymal stem cells into olfactory ensheathing cells using the culture medium.

Abstract: Disclosed in the present invention is a biochip moving device. The biochip moving device includes a rack, on which at least one operating unit for pushing a biochip to move is arranged, a driving mechanism, a chip pushing mechanism and a biochip are respectively provided on each of the operating units, the driving mechanism is provided on the lower part of the rack, the biochip moving device and the biochip are respectively provided on the upper part of the rack, the chip pushing mechanism is driven by and connected to the driving mechanism, the chip pushing mechanism pushes the biochip to a target position. Compared with traditional manual vitrification freezing operations, the present invention greatly improves work efficiency and is easy for users to operate through adopting connecting rod pushing biochip, and the connecting rod is driven by motor.

Abstract: The present invention relates to the field of drilling coring devices. Disclosed are a pressure-preserved coring tool, a use method, and a reservoir analysis method. The pressure-preserved coring tool comprises an outer cylinder (1), a differential assembly (2), a pressure-preserving inner cylinder assembly (4), and a seal assembly (5). The differential assembly is configured to be able to drive the pressure-pre-serving inner cylinder assembly to move upwards relative to the seal assembly, so that the seal assembly seals the inner cylinder assembly for accommodating a rock core (8).

Abstract: A liquid crystal display device includes a backlight module, a quantum dot repairing film, a quantum dot layer, and a panel module. The backlight module has a light-emitting surface, which has a central area and a peripheral area surrounding the central area. The quantum dot repairing film is disposed on the peripheral area, and is malleable and adhesive. The quantum dot layer is disposed on the central area and the quantum dot repairing film. The panel module is disposed on the quantum dot layer, and includes a light-shielding layer. A projection of the light-shielding layer along a normal of the light-emitting surface partially overlaps a projection of the quantum dot repairing film along the normal of the light-emitting surface, and a projection of an inner edge of the light-shielding layer along the normal of the light-emitting surface is located in the projection of the quantum dot repairing film.

Abstract: A pressure sensor apparatus is provided. In another aspect, a wireless intraocular pressure sensor includes a deformable or stretchable inductor having a three-dimensionally serpentine or wavy shape. A further aspect of an intraocular pressure sensing system includes a closed loop, deformable and variable inductor of an undulating shape in lateral and depth directions, within a ring-shaped and polymeric carrier layer, sized to contact an eye. A method of making a wireless intraocular pressure sensor, including a three-dimensionally deformable metal layer, is also provided.

Abstract: An image classification system is provided for determining a likely classification of an image using multiple machine learning models that share a base machine learning model. The image classification system may be a browser-based system on a user computing device that obtains multiple machine learning models over a network from a remote system once, stores the models locally in the image classification system, and uses the models multiple times without needing to subsequently request the machine learning models again from the remote system. The image classification system may therefore determine likely a classification associated with an image by running the machine learning models on a user computing device.

Abstract: An image classification system is provided for determining a likely classification of an image using multiple machine learning models that share a base machine learning model. The image classification system may be a browser-based system on a user computing device that obtains multiple machine learning models over a network from a remote system once, stores the models locally in the image classification system, and uses the models multiple times without needing to subsequently request the machine learning models again from the remote system. The image classification system may therefore determine likely a classification associated with an image by running the machine learning models on a user computing device.

Abstract: A surgical robot system is provided. The surgical robot system includes a workstation, a robotic arm, a scanning module and a guiding module. The workstation includes a housing, a computation and control center, a display apparatus and an input device. The robotic arm includes multiple arm segments connected by joints. The scanning module collects information for a target space. The guiding module guides a surgical instrument to move in a trajectory. The guiding module is connectable to the robotic arm. The guiding module includes a through hole and assists the surgical instruments to move along an axial direction of the through hole. Information collected by the scanning module is processed by the workstation to acquire three-dimensional information of the target space.

Abstract: The present invention provides a surgical robot system which includes a workstation, a robotic arm, a scanning module, a guiding module and the like. Fast registration may be completed by means of the scanning module. The system improves the speed and accuracy of registration and shortens the period of the operation.

Abstract: The present invention relates to bioengineered collagen constructs and methods for the preparation and use of said constructs. The constructs and methods may find application in, but are not limited to, the provision of replacement tissue and/or cells, and/or the delivery of agents to biological targets such as tissues and cells. The constructs and methods may also find application in, but are not limited to, replacing endothelial tissue.

Abstract: A trust rule between a first service and a second service in a plurality of services deployed in a distributed system is received; the trust rule defines whether the first service is allowed to access the second service. A trust tree is obtained for the distributed system, and the trust tree comprises a plurality of certificates for accessing the plurality of services. A first group of certificates is selected for the first service based on the trust rule and the trust tree, and the first group of certificates enables the first service to access the second service.

Abstract: Methods, kits, and systems using machine-readable labels are disclosed to assist in communications between the material provider and the end-user of a graphic film product, especially when the end-user does not acquire the graphic film product directly from the material, where such communications may relate to the warranty for the graphic film product.

Abstract: A method, system, and computer program product for detecting out-of-date runbooks are disclosed. The method may include generating a defect corresponding to an alert on a running workload system. The method may further include, in response to generating the defect in the running workload system, automatically obtaining an identification of a runbook based on information of the alert, automatically accessing the runbook based on the identification of the runbook, the runbook including instructions for fixing the defect, automatically parsing the instructions to obtain executable operations, and automatically executing the executable operations on the running workload system. The method may further include, in response to detecting that the alert is not solved on the running workload system after a predefined period, automatically determining that the runbook is out-of-date, and automatically generating a runbook out-of-date signal.

Abstract: A trust rule between a first service and a second service in a plurality of services deployed in a distributed system is received; the trust rule defines whether the first service is allowed to access the second service. A trust tree is obtained for the distributed system, and the trust tree comprises a plurality of certificates for accessing the plurality of services. A first group of certificates is selected for the first service based on the trust rule and the trust tree, and the first group of certificates enables the first service to access the second service.

Abstract: A method, system, and computer program product for detecting out-of-date runbooks are disclosed. The method may include generating a defect corresponding to an alert on a running workload system. The method may further include, in response to generating the defect in the running workload system, automatically obtaining an identification of a runbook based on information of the alert, automatically accessing the runbook based on the identification of the runbook, the runbook including instructions for fixing the defect, automatically parsing the instructions to obtain executable operations, and automatically executing the executable operations on the running workload system. The method may further include, in response to detecting that the alert is not solved on the running workload system after a predefined period, automatically determining that the runbook is out-of-date, and automatically generating a runbook out-of-date signal.

Abstract: An image classification system is provided for determining a likely classification of an image using multiple machine learning models that share a base machine learning model. The image classification system may be a browser-based system on a user computing device that obtains multiple machine learning models over a network from a remote system once, stores the models locally in the image classification system, and uses the models multiple times without needing to subsequently request the machine learning models again from the remote system. The image classification system may therefore determine likely a classification associated with an image by running the machine learning models on a user computing device.

Abstract: An image classification system is provided for determining a likely classification of an image using multiple machine learning models that share a base machine learning model. The image classification system may be a browser-based system on a user computing device that obtains multiple machine learning models over a network from a remote system once, stores the models locally in the image classification system, and uses the models multiple times without needing to subsequently request the machine learning models again from the remote system. The image classification system may therefore determine likely a classification associated with an image by running the machine learning models on a user computing device.

Abstract: The present invention provides a surgical robot system which includes a workstation, a robotic arm, a scanning module, a guiding module and the like. Fast registration may be completed by means of the scanning module. The system improves the speed and accuracy of registration and shortens the period of the operation.

Abstract: An image classification system is provided for determining a likely classification of an image using multiple machine learning models that share a base machine learning model. The image classification system may be a browser-based system on a user computing device that obtains multiple machine learning models over a network from a remote system once, stores the models locally in the image classification system, and uses the models multiple times without needing to subsequently request the machine learning models again from the remote system. The image classification system may therefore determine likely a classification associated with an image by running the machine learning models on a user computing device.

Abstract: An oral-care implement comprises a mounting surface having a longitudinal axis and a transverse axis perpendicular to the longitudinal axis and a plurality of filaments outwardly extending from the mounting surface in at least one direction not parallel to either one of the longitudinal axis and the transverse axis, each filament having a free end terminating with a tip. At least some of the filaments possess at least one functional characteristic selected from the group consisting of filament's structure, composition, cross-sectional shape, tip geometry, and any combination thereof. A plurality of filament tips comprises a working surface that includes at least a first color and a second color different from the first color.