Biology
Genetics.pdf
The principles of genetics with application to the study of biological function at the level of molecules, cells, and multicellular organisms, including humans. Structure and function of genes, chromosomes and genomes. Biological variation resulting from recombination, mutation, and selection. Population genetics. Use of genetic methods to analyze protein function, gene regulation and inherited disease
The Ethics of Genetic Engineering - A Position Paper from the Center for Inquiry Office of Public Policy.pdf
Taken from the third page: THE ETHICS OF GENETIC ENGINEERING: Just as the twentieth century was a golden age of computing, the twenty-first century is the DNA age. The silicon age brought about dramatic changes in how we as a species work, think, communicate, and play. The innovations of the computer revolution helped bring about the current genetic revolution, which promises to do for life what computing did for information. We are on the verge of being able to transform, manipulate, and create organisms for any number of productive purposes. From medicine, to agriculture, to construction and even computing, we are within reach of an age when manipulating the genetic codes of various organisms, or engineering entirely new organisms, promises to alter the way we relate to the natural world.
Optimization Approaches for a Complex Dairy Farm Simulation Model.pdf
Taken from Introduction: This paper presents the optimization of a complex dairy farm simulation model using the two optimization techniques Genetic algorithm (GA) and the Lipschitz Branch-and-Bound (LBB) algorithm. Optimization problems arise in many real-life applications and are intensively studied in different areas. Producing an optimized model of real-world problems is complex and time consuming. As commercial enterprises and systems managers make every effort to become more competitive, numerical optimization techniques are increasingly being used to identify the best solution for modeled systems. Further, computer simulation and optimization can facilitate the production of the best solution without the need to physically test massive numbers of various alternatives. Due to these reasons, optimization techniques are attracting the interests of entrepreneurs as well as researchers. Generally, optimization studies involve: (i) a model of the system of interest, (ii) an objective function, (iii) input parameters, and (iv) an algorithm for the process.
Extreme Genetic Enginering: An Introduction to Synthetic Biology.pdf
Transgenics, the kind of engineering you find in genetically modified tomatoes and corn, is old news. As recombinant DNA splicing-techniques turn 30 years old, a new generation of extreme biotech enthusiasts have moved to the next frontier in the manipulation of life: building it from scratch.
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