Journal of Applied Science and Education (JASE) <p><img style="float: left; padding-right: 10px; width: 300px; height: 400px;" src="" alt="" width="300" height="400" /></p> <p align="justify">International journal <strong>"Journal of Applied Science and Education (JASE)"</strong> is a scholarly, peer-reviewed, and fully refereed open access international research journal published twice a year in the English language, provides an international forum for the publication and dissemination of theoretical and practice-oriented papers, dealing with problems of modern technology (Applied Engineering, Mathematics, Chemistry, Physics, Engineering Physics, Statistics, Environmental Sciences, Geology, Social Sciences, Biology, Natural and Technological Sciences, Linguistics, Food Science, Agricultural Engineering, Professional Ethics, Behavioural Science, etc). <strong>JASE</strong> welcomes regular papers, short papers, review articles, etc. The journal reviews papers within three-six weeks of submission and publishes accepted articles online immediately upon receiving the final versions. All the papers in the journal are freely accessible as online full-text content and permanent worldwide web link. The article will be indexed and available in major academic international databases. <strong>JASE</strong> welcomes you to submit your research for possible publication in <strong>JASE</strong> through our online submission system. <strong>ISSN: 2583-1372 (E)</strong></p> A2Z Journals en-US Journal of Applied Science and Education (JASE) 2583-1372 Statistical Analysis of Groundwater sample of Sirohi village of Neemkathana block of Sikar (Rajasthan) India <p><em>In this study, the statistical analysis of groundwater of Sirohi village of Neemkathana block, Sikar (India) has been presented. Groundwater samples were taken from the se-lected sites strictly as per BIS norms. The TDS level of Sirohi village was found to be more than the acceptable limit of 500 mg/L. The higher TDS will affect human health. Neemkathana block in Rajasthan is a semi-arid zone, due to a continuous decrease in the value of rainfall, the rate of recharge of the water aquifer is imbalanced by yield. The average discharge from wells in alluvium ranges from 40m3/day to 90m3/day. Such kind of situation makes contamination to be at the extreme.</em></p> Santosh Kumar Verma Ashok Kumar Kakodia Kumud Tanwar Tanwar shiv lal Copyright (c) 2022 Santosh Kumar Verma, Ashok Kumar Kakodia, Kumud Tanwar, Dr. Shiv Lal 2022-11-25 2022-11-25 2 2 1 11 10.54060/jase.v2i2.18 Alkaline Water and Human Health: Significant Hypothesize <p><em>The ionized water is better than the raw water for drinking purpose. The acidic and alkaline water can be produced by the water ionization process. The major reason of the disease in human body is acidity and which can be neutralising by the alkaline water. So many benefits of alkaline water for drinking are shown in this communication. The alkaline water or acidic water both are not good for health in longer duration so alkaline water can be use for drinking purpose for medical reasons and it is beneficial of reducing causes of ulcer, cancer etc.</em></p> Shiv Lal Ashok Kumar Kakodia Santosh Kumar Verma Copyright (c) 2022 Dr. Shiv Lal, Dr. Ashok Kumar Kakodia, Dr. Santosh Kumar Verma 2022-11-25 2022-11-25 2 2 1 11 10.54060/jase.v2i2.12 Diabetes Prediction using Machine Learning <p><em>Machine Learning is a type of AI (also known as Artificial Intelligence) that makes the pc or computer act like individuals and learn more as they experience additional information from their client or user. So here in this report we got basic introduction about machine learning like actually what is it, what is its use, how it works and many more things. Thereafter, we discussed about the python the language, which is used for making pro-ject, important libraries such as pandas and numPy which is being is used for this partic-ular project and we have also discussed about Support Vector machine which has been used as classifier. We have also talked about the linear and non-linear svm that is used to check the accuracy of the predictive system. For the implementation we have started with importing the dependencies numpy smp and pandas pd and for the analysis we have taken a csv Pima Indian diabetes dataset after that we have trained the model with the help of support vector classifier. For the model evaluation we have checked the accuracy of the training data and test data. Numerous people suffer from diabetes mellitus, one of the most serious diseases. Age, obesity, inactivity, genetic diabetes, a poor diet, high blood pressure, and other factors can all contribute to diabetes mellitus. Diabetes in-creases a person's risk of developing various illnesses, including heart disease, renal dis-ease, stroke, vision problems, nerve damage, etc. So, here we will be building a system that can predict whether a person has diabetes or not with the help of Machine Learning.</em></p> Saniya Faraz Pawan Singh Copyright (c) 2022 Saniya Faraz, Dr. Pawan Singh 2022-11-25 2022-11-25 2 2 1 12 10.54060/jase.v2i2.13 Study of Application of De-Morgan’s law in Modern Fields <p><em>This paper discusses about the De-Morgan's Law, with both the conditions, the law re-lates the intersection and union of sets through complements. In propositional logic De-Morgan’s Laws relate conjunctions and disjunctions of propositions through nega-tion. Use of the law in Boolean algebra has been demonstrated through logic diagram and application of the law in other fields have been described, the paper also discusses about the law along with some examples to prove the law.</em></p> Ranjini Saha Ambrish Pandey Copyright (c) 2022 Ranjini Saha, Dr. Ambrish Pandey 2022-11-25 2022-11-25 2 2 1 8 10.54060/jase.v2i2.10