http://journalajmpcp.com/index.php/AJMPCP/issue/feed Asian Journal of Medical Principles and Clinical Practice 2020-02-21T11:00:17+00:00 Asian Journal of Medical Principles and Clinical Practice contact@journalajmpcp.com Open Journal Systems <p style="text-align: justify;"><strong>Asian Journal of Medical Principles and Clinical Practice</strong>&nbsp;aims to publish high quality papers (<a href="/index.php/AJMPCP/general-guideline-for-authors">Click here for Types of paper</a>) in all areas of Medical Science and Clinical Practice.&nbsp;AJMPCP will not only publish traditional full research reports, including short communications, but also this journal will publish reports/articles on all stages of the research process like study protocols, pilot studies and pre-protocols. AJMPCP&nbsp;is novelty attracting, open minded, peer-reviewed medical periodical, designed to serve as a perfectly new platform for both mainstream and new ground shaking works as long as they are technically correct and scientifically motivated.&nbsp;The journal also encourages the submission of useful reports of negative results.&nbsp;This is a quality controlled,&nbsp;OPEN&nbsp;peer reviewed, open access INTERNATIONAL journal.</p> http://journalajmpcp.com/index.php/AJMPCP/article/view/30111 Origin Identification of Buckwheat from Different Areas in Loess Plateau by Chemical Analysis and Data Mining Techniques 2020-02-21T11:00:17+00:00 Jing Yang Dong-Qin Wang Qiang Zhang Jian-Guo Xu xjg71@163.com <p>In this study, the quality characteristics of mineral elements, vitamins and amino acids of 39 common buckwheat samples from the eastern, central and western regions of Loess Plateau were analyzed and compared and then effective indicators were selected for discrimination geographical origins. The linear discriminant analysis (LDA) was used to determine the geographical origin of common buckwheat according to three chemical families and their combinations each other. All models showed different correct classification rate and cross-validation rate. Among them, the correct classification rate and cross-validation rate of model based on the relative content of amino acid (the percentage of one amino acid in total amino acids) in combination with mineral elements were both 97.4%. The results demonstrated that the established method using multivariate analysis and data mining techniques was very effective and feasible for identification origin of buckwheat in the Loess Plateau.</p> 2020-02-21T00:00:00+00:00 ##submission.copyrightStatement##