Haracter Is Structure
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Reichian Character Structure
Reichian Character Structure represents the deepest way that we can understand our inner world and why we are the way we are. But for years it has remained hidden in the shadows, at the periphery of psychology. This book brings it out into the open, allowing you to understand and make practical use of this immense reservoir of knowledge. This is the only book on Character Structure that includes Bioenergetic and Reichian exercises to correct the limiting aspects of each Character Structure. Devaraj Sandberg is a therapist, author and workshop leader with a radical perspective on psychology and authenticity. He runs a major YouTube channel on body-based therapy and loves to give people the tools they need to find themselves. If you're willing to do the work, and just need a little guidance, Dev is your guy!
Character and Structure
If you ask yourself some questions before you start writing (or rewriting), and answer them honestly, most of 'what's hard' about preparation, editing and troubleshooting gets simplified. This book is full of insight into your stories.Combining story (what happens to your characters) and structure (how it happens) means finding the answers that will help you emotionally engage your audience.The more your audience cares, the more they'll share their feelings with others and help you grow your audience.A little preparation is all you need to view your story from your audience's perspective. Why would they care about your story if you don't care about their experience?If you want to create stories that people talk about and want to share, then grab a copy and read on.
Advances in Structural and Syntactical Pattern Recognition
Author: Petra Perner
language: en
Publisher: Springer Science & Business Media
Release Date: 1996-08-07
This book constitutes the refereed proceedings of the 6th International Workshop on Structural and Syntactical Pattern Recognition, SSPR '96, held in Leipzig, Germany in August 1996. The 36 revised full papers included together with three invited papers were carefully selected from a total of 52 submissions. The papers are organized in topical sections on grammars and languages; morphology and mathematical approaches to pattern recognition; semantic nets, relational models and graph-based methods; 2D and 3D shape recognition; document image analysis and recognition; and handwritten and printed character recognition.