Assess the effectiveness of structured teaching program regarding Human Milk Banking in terms of knowledge among BSc nursing students

Background: Breastfeeding is the most effective way to feed infants since it is particularly tailored to the infant's needs. In Vienna, Austria, the first human milk bank was created in 1909. In 1989, Lokmanya Tilak Municipal Hospital established Asia's inaugural human milk bank. The "National guidelines on Lactation Management Centres in Public Health facilities" which were published in 2017, include guidelines for setting up Comprehensive Lactation Management Centres (CLMCs) for the purpose of collecting, storing, processing, and dispensing donor human milk for infants admitted to public health facilities as well as offering lactation support to mothers at all delivery points. Nursing students play a crucial role in addressing the complex needs of individuals with structured teaching program on human milk banking.\Methodology: A quasi- experimental one group pretest posttest design was employed for the sample was selected using a convenience sampling technique. The intervention consisted of structured teaching program on human milk banking. The analysis of the data was conducted using both descriptive and inferential statistics with SPSS version 20.Result: The study included 80 BSc Nursing students. Pre-intervention knowledge scores ranged from 3 to 19, with a mean score of 11.5 ± 3.2. Following the structured teaching program, post-test scores ranged from 9 to 20, with a significantly higher mean of 16.7 ± 2.4. The mean difference of -5.1 was statistically significant (t = -11, p < 0.01), indicating substantial improvement in knowledge. Among demographic variables, only religion showed a statistically significant association with pre-test knowledge levels (p = 0.01); other variables such as age, gender, and prior exposure to human milk banking showed no significant influence.Conclusion: Structured teaching program was effective in enhancing the competency knowledge on human milk banking of nursing students. As the study findings showed that the mean posttest scores of nursing students were higher rather than pre test.Recommendations: A similar study can be conducted with large sample size in different settings should be conducted to determine the effect of structured teaching program on human milk banking on students competency

Interavtive Voice Response System

The Interactive Voice Response (IVR) System serves as a bridge between people and computer databases. The IVR system uses prerecorded or computer generated voice responses to provide information in response to an input from a user. Interactive Voice Response (IVR) is system application that prompts parents with voice messages and options and processes input selections from the menus. The IVR script responds to the input by providing appropriate information in the form of voice answer. Interactive Voice Response, or IVR system, runs on computers. IVR is usually part of a larger application that includes database access. An IVR application provides prerecorded voice responses for appropriate situations, input signal logic, and access to relevant data. The software converts the data into a voice format and provides voice response. The voice response by the system is then heard by the user. Today's busy parents are sometimes not able to to attend parents- teacher meetings due to their busy schedule. So parents are not aware about their wards attendance and marks. To overcome this problem college needs software, this can provide information to parents whenever they require. In order to evaluate this project, the methodology is based on generally the various modules required. C# Dotnet is used for designing the front end and MS Access is used for the back end. DOI: 10.17762/ijritcc2321-8169.16041

Informative Content Extraction through Key Frames

Nowadays, a huge amount of multimedia data is available on internet. As there is much redundancy, we can’t go through all this data. For various purposes this data is browsed, retrieved and processed. But when time and speed constraints are taken into consideration, accessing the data is very inefficient. Video Summarization is one of the way which makes it possible to give non-redundant, effective, feature based abstract view of the video which is covering entire contents in terms of the selected key frames. Feature based selected frames will lead to the summarized video. There are two main technique of video summarization i.e. key frame based and video skimming. This paper focuses on key frame extraction using video abstraction, visual descriptors and bag of visual words approach