Abstract: Provided are a traditional Chinese medicine ointment for preventing and treating mastitis in dairy cows and a preparation method thereof, belonging to the technical field of veterinary traditional Chinese medicines. The traditional Chinese medicine ointment includes raw materials in parts by mass: 20-30 parts of dandelion, 20-30 parts of herba patriniae, 10-16 parts of Caulis Lonicerae Japonicae, 0.5-1 part of borneol, 0.03-0.05 part of polypeptide, 40-50 parts of auxiliary emulsifier, 40-50 parts of liquid paraffin and 100-130 parts of white vaseline. An amino acid sequence of the polypeptide is: Phe Phe Arg Lys Val Leu Lys Leu Ile Arg Lys Ile Trp Arg (SEQ ID NO. 1). In the application, dandelion, herba patriniae, Caulis Lonicerae Japonicae and borneol 1 are mixed, and polypeptide is added at the same time to prepare ointment.

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.