Learning Vocabulary in Lexical Sets: Dangers and Guidelines

This article examines research on learning related vocabulary, such as lexical sets, opposites, and synonyms, together. It shows that learning related words at the same time makes learning them more difficult. This learning difficulty can be avoided if related words are learned separately, as they are when learning from normal language use. Teachers can decrease the possibility of interference by making the contexts, collocates, and visual representations of related words as different as possible.

This Medical Language Instant Translator provides quick access to useful, medically related information for both laypersons and students entering health related professions. Today we are increasingly exposed to medical terminology, whether it be at the doctor’s offie, on the Internet, or in the media. Analyzing and understanding these terms allow us to participate in important issues affecting our society, as well as to make better decisions about our own health.

BBC Word on the Street (lesson title: Social Media)

In these exciting videos, co-produced by the BBC and the British Council, learn how English works as the hosts explore British culture around the UK.
Each lesson includes two essential Scenes accompanied by Language Focus sections in which Rob Lewis highlights the grammatical points. In addition, you can find a related bonus clip in the end. Transcripts and supportive activities have been provided in PDF files.

BBC Word on the Street (lesson title: Shakespeare)

In these exciting videos, co-produced by the BBC and the British Council, learn how English works as the hosts explore British culture around the UK.
Each lesson includes two essential Scenes accompanied by Language Focus sections in which Rob Lewis highlights the grammatical points. In addition, you can find a related bonus clip in the end. Transcripts and supportive activities have been provided in PDF files.

This book is a collection of all the experimental results and analysis carried out on medical images of diabetic related causes. The experimental investigations have been carried out on images starting from very basic image processing techniques such as image enhancement to sophisticated image segmentation methods. This book is intended to create an awareness on diabetes and its related causes and image processing methods used to detect and forecast in a very simple way. This book is useful to researchers, Engineers, Medical Doctors and Bioinformatics researchers.