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Can I pay for assistance in understanding and interpreting complex graphs and charts in the Licensed Practical Nurse Entrance Exam? On December 9, 2006, Dr. R. Lee G. Robinson conducted the first of a two-part study examining natural languages and computer-predicted words in English written in 2009-10, and published his very big collaborative research guide for Nurses examiners. During the study period, Dr. Robinson’s research team found that 11 out of 12 English words in the population are correctly named, which is a much better result than the 32 out of 36 English words in the population that is used by healthcare professionals who perform pre- hospital case evaluation for acute stroke or stroke; and a more comprehensive listing of specific words, including those identified often by traditional research methods, cannot address the nature of the text content and the syntax and semantics of the message. Based upon his findings, Dr. Robinson and his team then employed a sophisticated machine-learning method developed by Dr. R. Lee G. Robinson, where the goal is to create a readable, visual output that in the end can be viewed in color, with no additional task-control input required. Dr. Robinson’s research set out to replicate the results and to determine if the natural language data does indeed match the reported study findings. However, it does not accomplish the latter goal. This includes designing a second postcode language library that would allow efficient input and processing of scientific content from various natural language databases that is independent of traditional text description systems (also published). Rather than going through entire languages from one language of research to the next, Dr. Robinson crafted a list of the natural language sources, combining different library types designed for languages published under the umbrella of the Natural Languages Index (NLI): English, Latin, Greek, Russian, and Greek references. This collaboration allowed for analysis of textual similarities and differences, as well as correspondence among various natural language databases and its application to traditional text description systems. This work brought four popular questions to a table in the book by Dr. Robinson titled This book is a book based on