The main structure has to be like the previous article you'd written, but it has to be at least 60% different in plagiarism POV. The total of 3200-3300 words (except Abstract and References). Would contain 2-3 figures and 1 table in plus. Would have the same conclusions (but in different words). The Abstract has to be with max 300 words in one block not like the last one. The attached template has to be followed. The background of Julia vs Python vs R - has to rely on big data [colected from phones/sensors/SaMD devices/wheater etc for personalized medicine as a base for predicting abnormal/dangerous variations of individual hypertension). The research article structure has to: 1. Use the same DB's like : https://github.com/renatopp/arff-datasets/blob/master/classification/heart h aril https://github.com/renatopp/arff-datasets/blob/master/classification/postoperative.patient.data.arff or other DBs (but the link must be accessible) 2. Has to include chapters (not exactly in this order): Intro (max 0.5 pag); state of the art (max 1 pag); Implication for practice (max 0,5 pag); Conclusions (max 0.5 pag); Methodology (0.5 pag); Julia vs Python vs R for researchers (max 1 pag); Julia vs Python vs R for business applications (max 1 pag); Julia vs R in predicting hypertension (using DBs from upper git-links)- min 3 pages (with max 0.5-1 page of coded algorithms but only if is original/important); Future works (0.5-1 pag in the context of Smart medical services [e-Ambulance] in Smart cities).
Sample Solution