Hydatid cyst (HC) is a zoonotic parasitic disease in agricultural and pastoral areas while renal involvement without liver and lung hydatid is both less common in clinical practice and rarely described in literature. We present a case of a 40‐year‐old male from Xinjiang who complained of flank pain in the right with oliguria. Robot‐assisted laparoscopic exploration, conversion to open laparotomy and excision of internal capsule in right kidney were performed. Finally, a typical renal HC was diagnosed after complementary examinations. Isolated renal HC is very rare and can be misinterpreted as a cystic renal cell carcinoma pre‐operatively.
With the continuous development of the MOOCS model in college physical education, the corresponding teaching evaluation has also been widely concerned by the community. The development of a traditional education mode in college physical education cannot meet the current teaching requirements. In order to solve the problem of narrow application and insufficient accuracy in traditional education, on the basis of the Kohonen fuzzy decision tree algorithm and the MOOCS fuzzy decision tree algorithm, a fuzzy evaluation model of P.E. teaching is proposed. The results show that the fuzzy ID3 algorithm can achieve high accuracy in the four databases, and the classification accuracy of the A-D database is 75.9%, 62.9%, 76.6%, and 95.1%, respectively. Except for database C, the classification accuracy of the minimum classification uncertainty algorithm is lower than the other two clear decision tree algorithms. Compared with the minimum classification uncertainty algorithm, the fuzzy ID3 algorithm has obvious advantages in classification rules. The classification rules of A-D database are 18, 12, 16, and 10, respectively. When the authenticity threshold is about 0.8, the fuzzy ID3 algorithm has the highest classification accuracy. The proposed MOOCS model for college physical education based on the fuzzy decision tree algorithm has strong practicability and high accuracy. This paper studies the MOOCS model of college physical education and introduces the fuzzy decision tree algorithm to evaluate the MOOCS model of college physical education. It solves the problem that traditional sports cannot satisfy the needs of “Internet plus education” at all. Compared with the traditional sports model, it has better applicability and higher accuracy.
Ceramic fibers and whiskers have been used for modification of toughness because they increase fracture energy due to their high elastic modulus strength. The mechanism of this increase is well known to be pull-out, crack deflection and a bridging mechanism. This study focused on the increase in toughness, strength and thermal shock resistance when using mullite fibers in a gas filter for high temperatures. The green body uses the average 230μm particle diameter of SiC powders, which used as a skeletal material , the length to diameter ratio greater than 10 of the mullite fibers and the mixture of kaolin, feldspar and silica, which was used as a binder. The pore former be made up of graphite and active carbon. The molding pressure is 3MPa, and sintering temperature is 1300°C. The mullite fiber reinforced SiC porous ceramic has low filter pressure drop, 30.36% porosity and 35.66MPa flexural strength, which is higher than the SiC porous ceramic whitout mullite fibers. And the flexural strength degradation was only 5.4% after thermal shock tests.
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