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1.
Zhong Yao Cai ; 39(3): 534-9, 2016 Mar.
Artigo em Zh | MEDLINE | ID: mdl-30088876

RESUMO

Objective: To determine the drying process and to built model of Banqiao Codonopsis Radix slices dried in air-impingement jet dryer. Methods: With taking the content of polysaccharides( CPPS),rehydration ratio( RR) and drying time as the evaluation indexes,the effects of drying temperature( 40,50,60 and 70 ℃),slices thickness( 1,2,3 and 4 mm) and air velocity( 8,10,12,and 14 m / s) on the content of CPPS,RR and drying time were studied. With taking the R2,χ2and RMSE as the evaluation indexes,the optimum model was screened by fitting the drying curves data with four selected models. Results: The variety of all studied factors lead to change of the content of CPPS,RR and drying time,and the influence of air-temperature was most significant. Under the test conditions,the content of CPPS,RR and drying time were range from 20. 33% ~ 28. 26%,2. 65 ~ 3. 25 and 180 ~ 510 min, respectively. Among the four selected drying models, Modified Page model was the most suitable model to fit the drying curves data with the maximum average of R2( 0. 9993),the smallest average of χ2( 0. 00022) and the smaller average RMSE( 0. 01066). Conclusion: By comparison the content of CPPS,RR and drying time, the optimal drying process of Banqiao Codonopsis Radix slices dried in the air-impingement jet dryer was air temperature of 60 ℃,slice thickness of 2 mm and air velocity of 12 m / s. Under the drying conditions of air temperature 40 ~ 70 ℃,slice thickness 1 ~ 4 mm and air velocity 8 ~ 14 m / s, Modified Page model can effectively predict the moisture change of Banqiao Codonopsis Radix slice dried in air-impingement jet dryer.


Assuntos
Codonopsis , Dessecação , Temperatura Alta , Temperatura
2.
Zhonghua Yi Xue Za Zhi ; 94(9): 701-3, 2014 Mar 11.
Artigo em Zh | MEDLINE | ID: mdl-24842214

RESUMO

OBJECTIVE: To explore the prevention and effective treatment of opposite subdural effusion after decompressive cranium. METHODS: Retrospective analyses were conducted for 79 cases of opposite subdural effusion after decompressive cranium. And the efficacies of various methods were compared. RESULTS: Among them, 78 cases were cured by enswathing with elastic bondage. And one case improved through cavity fluid drainage catheter. CONCLUSION: Enswathing with elastic bondage is an effective, simple and economic method of managing opposite subdural effusion after decompressive cranium.


Assuntos
Complicações Pós-Operatórias/terapia , Derrame Subdural/terapia , Adolescente , Adulto , Idoso , Craniectomia Descompressiva/efeitos adversos , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Estudos Retrospectivos , Derrame Subdural/etiologia , Resultado do Tratamento , Adulto Jovem
3.
Animals (Basel) ; 14(9)2024 May 01.
Artigo em Inglês | MEDLINE | ID: mdl-38731372

RESUMO

With the rapid development of the turtle breeding industry in China, the demand for automated turtle sorting is increasing. The automatic sorting of Chinese softshell turtles mainly consists of three parts: visual recognition, weight prediction, and individual sorting. This paper focuses on two aspects, i.e., visual recognition and weight prediction, and a novel method for the object detection and weight prediction of Chinese softshell turtles is proposed. In the individual sorting process, computer vision technology is used to estimate the weight of Chinese softshell turtles and classify them by weight. For the visual recognition of the body parts of Chinese softshell turtles, a color space model is proposed in this paper to separate the turtles from the background effectively. By applying multiple linear regression analysis for modeling, the relationship between the weight and morphological parameters of Chinese softshell turtles is obtained, which can be used to estimate the weight of turtles well. An improved deep learning object detection network is used to extract the features of the plastron and carapace of the Chinese softshell turtles, achieving excellent detection results. The mAP of the improved network reached 96.23%, which can meet the requirements for the accurate identification of the body parts of Chinese softshell turtles.

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