Abstract: A bionic intervertebral disc with mechanical anisotropy includes an upper end plate, a core and a lower end plate. The core includes outer fibrous rings, a middle transition zone and an inner nucleus pulposus. The fibrous rings comprise collagen fiber sheets and collagen fibers, each of the collagen fibers is attached to a surface of a corresponding one of the collagen fiber sheets and arranged at an inclination angle, ones of the collagen fibers which are on every two adjacent layers of the collagen fiber sheets are arranged crosswise with each other. A honeycomb meshing size of a portion, which is located at a fibrous-ring transition zone, of the honeycomb structure is smaller and more compact, and a honeycomb meshing size of a portion, which is located at a nucleus pulposus transition zone, of the honeycomb structure is larger and sparser.

Abstract: A curing device includes a housing, a carrying plate, a moving assembly, and a light source. The housing defines an opening, The carrying plate is used for carrying a jig. The jig is used for receiving a product and an adhesive, and the jig includes a light transmitting area. The moving assembly is received in the housing and connected to the carrying plate for driving the carrying plate to move into and out of the housing from the opening. The light source is arranged in the housing for irradiating the light transmitting area of the jig to cure the adhesive in the jig. The disclosure also provides a curing apparatus.

Abstract: Technologies are generally described for methods and systems to join a first source dataset with a second source dataset. In an example, a processor may receive a request to join the first and second source datasets based on a condition. The processor may determine a first range of attribute values from the first source dataset, and a second range of attribute values from the second source dataset. The processor may produce a filtered dataset based on a comparison of the first and second ranges. A map unit may transform the filtered dataset and the second source dataset into first and second mapped datasets based on the condition. A reduce unit may transform the first and second mapped datasets into first and second reduced datasets based on the condition. A combiner unit may combine the first and second reduced datasets to join the first and second source datasets.

Abstract: Technologies are generally described for methods and systems to join a first source dataset with a second source dataset. In an example, a processor may receive a request to join the first and second source datasets based on a condition. The processor may determine a first range of attribute values from the first source dataset, and a second range of attribute values from the second source dataset. The processor may produce a filtered dataset based on a comparison of the first and second ranges. A map unit may transform the filtered dataset and the second source dataset into first and second mapped datasets based on the condition. A reduce unit may transform the first and second mapped datasets into first and second reduced datasets based on the condition. A combiner unit may combine the first and second reduced datasets to join the first and second source datasets.