<p>Diabetes is a major concern all over the world. It is increasing at a fast pace. People can avoid diabetes at an early stage without any test. The goal of this paper is to predict the probability of whether the person has a risk of diabetes or not at an early stage. This would lead to having a great impact on their quality of human life. The datasets are Pima Indians diabetes and Cleveland coronary illness and consist of 768 records. Though there are a number of solutions available for information extraction from a huge datasets and to predict the possibility of having diabetes, but the accuracy of their mining process is far from accurate. For achieving highest accuracy, the issue of zero probability which is generally faced by naïve bayes analysis needs to be addressed suitably. The proposed framework RB-Bayes aims to extract the required information with high accuracy that could survive the problem of zero probability and also configure accuracy with other methods like Support Vector Machine, Naive Bayes, and K Nearest Neighbor. We calculated mean to handle missing data and calculated probability for yes (positive) and no (negative). The highest value between yes and no decide the value for the tuple. It is mostly used in text classification. The outcomes on Pima Indian diabetes dataset demonstrate that the proposed methodology enhances the precision as a contrast with other regulated procedures. The accuracy of the proposed methodology large dataset is 72.9%.</p>

Purpose The study focuses on academic stress among the students due to insufficient efforts and intrapersonal conflicts amid the COVID-19 situation. The purpose of this study is to measure the mediating role of academic stress between life dissatisfaction and adequate steps and intrapersonal conflicts. Design/methodology/approach The researcher had surveyed 729 students from the two states, including Haryana and Punjab and 716 responses were used for analysis. These respondents were approached in April–May 2020 to explore the impact of COVID-19. The questionnaire was prepared with the help of Google form, including 29 questions. Confirmatory factor analysis and structural equation modeling (SEM) were used to validate the research model and for testing the hypothesis. Findings The findings indicate that intra-personal conflict and insufficient efforts have a significant positive relation with academic stress. Also, intrapersonal conflict and insufficient efforts have a significant positive relation with life dissatisfaction. It has been reported that academic stress mediates the relationship between life dissatisfaction and intra-personal conflict. The results also reveal that academic stress is positively and significantly associated with life dissatisfaction. Originality/value This is one of the few studies that explored the mediating role of academic stress between life dissatisfaction and insufficient efforts and intrapersonal conflicts.

<p>Smart phone has various utilizations to various clients as per their necessities. With sensational rise in the usage of smart phone the individuals are considering different factors while purchasing a smart phone. This paper has put endeavor to reveal the fundamental factors which effect clients in picking up of the smart phone. A sample of 512 responses was taken through questionnaire. An organized questionnaire was planned with five point Likert scale was utilized to meeting respondent’s .Factor analysis and descriptive statistical tools were applied to extricate the basic variables influence cell phone acquiring choice. The result shows that the most important factors are physical attributes, apps and sounds while the less importance is given to other factors such as convenience, price which can also vary by age, service and gender. The future scope of this paper lies in the fact that whether age, occupation, gender makes any difference in purchasing decision of smart phone.</p>

The approach to the title compounds uses an unprecedented TFA‐mediated tandem Michael addition—Fries rearrangement of sorbyl anilines (I) via a γ‐lactone intermediate.

Software testing is the process of evaluating a system or its modules in the intent to find that the software is acquiring the efficient requirements or not. In simple words testing is the execution of the system in order to find their gaps, ambiguity and inconsistency. Software testing comprises into three factors: test case generation, test cases execution and test cases evaluation. This paper implemented a semantic approach for the generation of test cases on UML model i.e., Activity Diagram. In this approach an Activity diagram is created then it automatically generated a Activity Dependency table (ADT) from Activity diagram. From the ADT an Activity Dependency Graph (ADG) is introduced. Finally After the automatic generation of ADG a consistent test case are generated. This approach includes the validation of the test cases by their consistency and efficiency. This approach saves the cost, time, efforts and increases the quality of generated test cases.