Exploration of Bayesian Statistic Model for Nurse Call Change after Surgery among Adjustment Methods

Author(s):  
Hiroshi NOGUCHI ◽  
Shuhei NOYORI ◽  
Maki MIYAHARA ◽  
Soo In KANG ◽  
Toshiaki TAKAHASHI ◽  
...  
2021 ◽  
Vol 687 (1) ◽  
pp. 012086
Author(s):  
Wang Xingjie ◽  
Yang Tingting ◽  
Cao Meigen ◽  
Zheng Chong ◽  
Zhou Wensong ◽  
...  

Foods ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 850
Author(s):  
Annalaura Lopez ◽  
Federica Bellagamba ◽  
Erica Tirloni ◽  
Mauro Vasconi ◽  
Simone Stella ◽  
...  

Caviar is a semi-preserved fish preparation in which cold storage (around 0 °C) and packaging under anaerobic conditions are fundamental to guarantee adequate safety parameters. Consumers seem to prefer caviar prepared with food salt only, but according to the needs of the different distribution channels, some preservatives are used in order to prolong its shelf life and to allow less restrictive storage conditions. Traditionally, the most common preservative was sodium tetraborate (borax), a salt that contributes to the sensory profile of caviar. However, due to its toxicity, borax has been banned in many countries, and the current trend is to reduce or eliminate its use. In this study, we evaluated the evolution of food safety parameters (pH, water activity, microbiological parameters) and the volatile profile during 14 months of storage in caviar samples treated with three different preservatives: I. exclusively NaCl, II. a mixture of borax and NaCl, and III. a mixture of organic acids and salts. Microbial presence was studied by means of plate counts; volatile organic compounds were identified on the sample headspace by means of solid phase microextraction with gas-chromatography and mass spectrometry. Results showed relevant differences among the three treatments investigated, with salt samples characterized by the highest viable counts and the greatest presence of volatile products driven by oxidative and spoilage processes, mainly occurring toward lipid and amino acids. On the contrary, the mixture of organic acids and salts showed the best response during the entire storage period. Finally, the employment of a multiparametric statistic model allowed the identification of different clusters based on the time of ripening and the preservative treatments used.


2018 ◽  
Vol 11 (1) ◽  
pp. 22-26 ◽  
Author(s):  
Zan Liu ◽  
Xihong Chen

AbstractElectromagnetic wave of enemy radar propagated by troposcatter is a valuable candidate for beyond line-of-sight detection. There is no analytical study considering the operating range of passive troposcatter detection system. In this paper, we study the way to predict the operating range, which is dominated by propagation loss. The key propagation loss models including statistic model and real-time model are analyzed. During deducing the latter loss model, Hopfield model is introduced to precisely describe the tropospheric refractivity. Meanwhile, rain attenuation is also taken into consideration. Several examples demonstrate the feasibility of predicting operating range through the proposed method.


2018 ◽  
Vol 91 ◽  
pp. 200-212 ◽  
Author(s):  
Yaming Zhuang ◽  
Daoyin Liu ◽  
Xiaoping Chen ◽  
Jiliang Ma ◽  
Jie Xiong ◽  
...  

Author(s):  
Samira Keivanpour ◽  
Hassan Haleh ◽  
Hamed Shakouri Ganjavi

Applying a MCDM model has many benefits for decision makers in the course of oil field master development plans preparation and evaluation. In this study, a multi-criteria decision making model is proposed in order to achieve an optimum production profile. The most important criteria and parameters for selection of best production profile are identified. These parameters are derived by several interviews with Iranian oil Industry’s experts. The candidate alternatives for production profile are ranked using a combination of group decision making approach and social choice theory. The degree of group consensus is evaluated by using a statistic model to confirm the validity of decision making model.


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