Quality Characteristics of Soybean Milk Added with Stevia Leaf Powder

This study was carried out to evaluate the effects of stevia (Stevia rebaudiana Bertoni) leaf powder on soybean milk quality. Soybean milk was prepared with the addition of 0.1 g (SP1), 0.2 g (SP2), 0.3 g (SP3), 0.4 g (SP4) of stevia leaf powder. The pH of soybean milk added with stevia leaf powders ranged from 7.90 to 7.98, whereas that of control was 7.88. The viscosity of soybean milk added with stevia leaf powder was 11.13~12.71 cp while that of control was 11.09 cp. Soymilk added with stevia leaf powder yielded values of Hunter L (59.40~64.94), a (-7.63~-6.45), and b (18.71~19.63), whereas that of control were 67.45, -4.74 and 20.13, respectively. There was decrease upon addition of stevia leaf powder. During storage, the pH, viscosity, L, and b values were decreased continuously. According to sensory evaluation, taste, and flavor of SP3 were better than the other groups. Quality characteristics between control and SP3 showed no significant differences. Therefore, this study showed the possibility of substituting 0.3 g of stevia leaf powder instead of sugar for creating a standard quality soybean milk with low calories. Upon the results of this study, it may be assumed that there are consequences positive responses to health-oriented consumers when using stevia leaf powder.

A System for Nursing Diagnosis and Intervention Management using the Nursing Outcome Indicators / 대한의료정보학회지

This paper proposes a system for nursing diagnosis and intervention management that is using nursing outcome indicators to guide the nursing intervention. In Korea, it has been studied on computerization of nursing process, but most of the studies are on the management of nursing records and not on the databases of nursing intervention. So far, the actual nursing processes have been performed by individual nurses' judgement without any supporting programs. Therefore, we provide the system with standardized database for nursing diagnosis and interventions so that nurses can make more accurate diagnoses and perform more adequate interventions. For that purpose, we have developed an algorithm that links nursing outcome indicators to nursing diagnoses and interventions. As a result, we expect the system can be used in many hospitals efficiently in the future after pilot operations.