Table of Contents
In what situations can GMOs be used?
Where are they used? In addition to foods, GMOs are also widely used in scientific research and pharmaceuticals. Organisms that have been genetically modified include micro-organisms such as bacteria and yeast, insects, plants, fish, and mammals.
What are the positive and negative effects of GMOs?
The pros of GMO crops are that they may contain more nutrients, are grown with fewer pesticides, and are usually cheaper than their non-GMO counterparts. The cons of GMO foods are that they may cause allergic reactions because of their altered DNA and they may increase antibiotic resistance.
What are the problems with GMOs?
One specific concern is the possibility for GMOs to negatively affect human health. This could result from differences in nutritional content, allergic response, or undesired side effects such as toxicity, organ damage, or gene transfer.
Are GMO’s making rice flood tolerant?
Scientists at the International Rice Research Institute developed flood tolerant rice by moving rice genes from an ancient rice variety to modern varieties using marker assisted breeding. The modified rice has led to a boom in yields in flood prone areas. GMO critics seem comfortable with that kind of genetic manipulation.
What are some examples of genetically modified foods?
Modern sweet corn yields 100 times more than teosinte, a testament to genetic modification. Modern bananas, eggplant. Brussels sprouts, and almost every food we eat, have been genetically altered in some way by humans. Over the centuries we’ve genetically modified thousands of foods.
Do we really need the best case for our algorithm?
In reality, we rarely need the best case for our algorithm. We never design an algorithm based on the best case scenario. In real life, most of the time we do the worst case analysis of an algorithm. Worst case running time is the longest running time for any input of size n.
What is the worst case scenario for insertion sort?
Similarly, in insertion sort, the worst case scenario occurs when the items are reverse sorted. The number of comparisons in the worst case will be in the order of n 2 and hence the running time is O (n 2). Knowing the worst-case performance of an algorithm provides a guarantee that the algorithm will never take any time longer.