Objective: To measure the knowledge, attitude, and preventive practices of parents in regards to their understanding of early childhood caries (ECC) in Al jouf province, Saudi Arabia (KSA). Material and Methods: A cross-sectional oral health survey was conducted among 228 parents, who were selected by stratified cluster sampling. A questionnaire consisting of 10 questions in each domain addressing knowledge, attitude, and preventive practice for ECC was applied. Scoring in the knowledge field included Yes/No/Don't know, while the attitude and practice domains used a 5-point Likert scale. Results: The mean values for knowledge of the respondents was 'Yes' (106.1 ±46.12), 'No' (63.5 ±50.95), and 'Don't know' (58.4 ±23.21); the p-value was p>0.05. The mean values for attitudes of the parents were strongly disagree (49.8 ±33.51), disagree (28 ±15.63), cannot say (47.4 ±20.33), agree (69.4 ±26.57), and strongly agree (33.4 ±30.48); the p-value was p<0.05. The mean values for preventive practices were strongly disagree (23.3 ±25.15), disagree (27.6 ±28.29), cannot say (38.9 ±31.8), agree (84.9 ±28.07), and stronglyagree (53.3 ±38.73); the p-value was <0.05. Conclusion: The parents did not have adequate knowledge of ECC but did have a good attitude and practice towards its prevention.
Abstract-EnterpriseMessaging is a very popular message exchange concept in asynchronous distributed computing environments. The Enterprise Messaging Servers are heavily used in building business critical Enterprise applications such as Internet based Order processing systems, pricing distribution of B2B, geographically dispersed enterprise applications. It is always desirable that Messaging Servers exhibit high performance to meet the Service Level Agreements (SLAs). There are investigations in this area of managing the performance of the distributed computing systems in different ways such as the IT administrators configuring and tuning the Messaging Servers parameters, implement complex conditional programming to handle the workload dynamics. But in practice it is extremely difficult to handle such dynamics of changing workloads in order to meet the performance requirements. Additionally it is challenging to cater to the future resource requirements based on the future workloads. Though there have been attempts to self-regulate the performance of Enterprise Messaging Servers, there is a limited investigation done in exploring feedback control systems theory in managing the Messaging Servers performance. We propose an adaptive control based solution to not only manage the performance of the servers to meet SLAs but also to pro-actively self-regulate the performance such that the Messaging Servers are capable to meet the current and future workloads. We implemented and evaluated our solution and observed that the control theory based solution will improve the performance of Enterprise Messaging Servers significantly.
Internet of Things (IoT) plays an important role in connecting everything together and to the Internet through specific protocols for information exchange and communications. It helps in achieving use cases such as intelligent recognition, location, tracking, monitoring and management.For large organizations, the focus is on developing smart campuses or leasing them which are sustainable and provide user experience. Sustainability focuses on being carbon neutral, energy efficiency, water usage reduction, green energy requires the IoT based implementation to deploy new projects and use cases.This paper presents a five layered Framework helping in implementing the sustainability leveraging basic ecosystem. It integrates the new use cases towards the connected ecosystem and responding to requirements quickly. These large campuses are replica of smart cities and multiple technological innovations in new technologies such as IoT, Artificial Intelligence (AI), Machine Learning (ML) is leveraged in bringing the ecosystem together for implementing applications and making the campuses smart and efficient.
High performance is always a desired objective in computing systems. Managing performance through manual intervention is a well-known and obvious mechanism. The attempts to self-manage performance with minimal human intervention are predominant in the recent advances of research. Control Systems theory is playing a significant role in building such intelligent and autonomic computing systems. We are investigating in building Intelligent Application Servers by enabling control system as a first class feature in component software, at design time and runtime. In this direction, it is important to build efficient data access mechanisms that capture the control system models, performance data, analyze the data efficiently, identify patterns and build a knowledge base. In this paper we propose a data organization and architecture as a building block of developing Intelligent Application Servers.
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