Hello Friends,
The main objective of the For a Kinder World (FKW) nonprofit organization is to help make the world we live in a better place. We hope to achieve this by presenting to the public an INTERNET based, current, accurate summary of facts and truths (known and unknown) associated with diet and its effects, on HEALTH, the ENVIRONMENT, HUMANITY, and the ECONOMY. These topics are treated as an interconnected/interactive system, centered around diet and are supported by the works of others as well as ours*.
For ethical reasons and because of their serious effects on our health, our environment and the economy we wish to let you know that over 100 billion farmed raised land animals and 2 trillion fish are brutally slaughtered yearly worldwide for food production, scientific/medical research and for the creation of non-food related businesses. About 40% of these astonishing numbers are wasted. Since these facts affect seriously our lives, they should be the concern of all of us.
To find more about FKW’s activities, visit our web site: forakinderworld.org
If you agree with what is presented, please forward this to your friends, and ask them to forward it to others.
Thank you.
Nick D. Panagiotacopulos, Ph.D.
CEO, For a Kinder World (FKW) Corp.
- Epidemiological Study: The result will be a DISEASE-FACTOR connection graph representing the analysis of data created from the answers to an anonymous questionnaire. You can access the Questionnaire and the associated Analysis by clicking the blue underlined words. We are kindly requesting your participation in the questionnaire. As soon as the database becomes large enough the detailed data will be open and free to any scientist wishing to perform in depth statistical analysis and hopefully make important observations.
- Analysis of medical signals: EMG, ECG, EEG, and FID (Free induction decay) signals will be analyzed using our software. The software is based on a powerful mathematical tool, known as WAVELET TRANSFORM. We are particularly interested in cancer and neurological cases, and invite those researchers from all over the world, who have available relevant Magnetic Resonance Spectroscopic (MRS) data and want to use our software and collaborate with us.
