Persuasive speech Topic: Animal Testing Should we ban animal experimentation? There has been a controversy between animal rights supporters and scientists about whether it is right to use animals in experimental research. Also‚ it is very debatable whether using animals for such research results in finding a cure for diseases. Using animals for medical research is ethical a long as it contributes to scientific development and helps scientists find ways to improve human health. And this practice
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advances that have been made possible due to animal testing‚ there are alternatives that are more cost-effective‚ reliable‚ and do not contribute toward the suffering of animals. Methods such as microdosing‚ in-vitro models‚ and in-silica computer models are a few of the alternatives that fit these criteria as opposed to traditional animal testing. By using alternative methods to animal testing‚ What is animal testing and why is it used? Animal testing is the use of animals to conduct experiments‚
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Testing Heuristics Cheat Sheet Testing Wisdom A test is an experiment designed to reveal information or answer a specific question about the software or system. * Stakeholders have questions; testers have answers. * Don’t confuse speed with progress. * Take a contrary approach. * Observation is exploratory. * The narrower the view‚ the wider the ignorance. * Big bugs are often found by coincidence. * Bugs cluster. * Vary sequences‚ configurations
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Should Animal Testing be Banned? Throughout history‚ animal experimentation has played an important role in leading to new discoveries and human benefits. However‚ what many people tend to forget are the great numbers of animal subjects that have suffered serious harm during the process of experimentation. Many people are believed to be ignorant or misunderstand the nature of the lives that animals actually live‚ and are unable to understand the actual laboratory procedures and techniques. Other
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Animal Testing is Wrong Millions of animals are used every year for a wide variety of scientific and medical purposes. Some of this scientific research is to learn about and improve the welfare of animals‚ but most of the animal experiments are unfortunately conducted for human benefits. An estimated eight million animals are used in painful experiments‚ which can range from getting pricked with a needle to more severe experiments‚ and ten percent of these animals do not receive painkillers. Then
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the back of medication bottles to read “not tested on animals.” Animal testing has been proven to be cruel and unusual punishment. Some studies have suggested that the testing of products on animals had no relevance or solid reasoning behind it. Imagine humans taking the place of animals and being deemed a science project. In the early 1900’s medical research was still on the rise and resources for medical treatment and testing was limited. Studies were comprised of the actual subject. In many cases
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Should animal testing be banned? For many centuries people have experimented on animals. The two main reasons for doing this is first‚ to find out more about the animals themselves‚ and‚ secondly‚ to test out substances and procedures to see if they are harmful and decide whether it can be used on human beings or not. In the second category fall cosmetic products as well as medicines and surgical techniques. There is a growing consensus that it is not acceptable to test cosmetic products on animals
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Software testing as a growth market Steve Fice reports on a study by Pierre Audoin Consultants into perceptions of software testing and quality across Europe and discovers that with test optimisation on the rise‚ organisations are increasingly looking to managed testing services. Companies around the world currently invest more than €50 billion annually in applications testing and quality assurance. The awareness of the commercial added value of flawless‚ fail-safe corporate applications is increasing
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Hypothesis testing begins with the assumption that randomization is used to collect quantitative data about the sample and that the distribution of this data has a normal shape. Significance tests state two explanations‚ or hypotheses‚ about a parameter. One‚ called the null hypothesis‚ states that the parameter equals some value (usually 0). The other‚ called the alternative hypothesis‚ states that the parameter is greater than‚ less than or (not) equal to the value stated in the null hypothesis
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COMS 544: SOFTWARE TESTING AND QUALITY ASSURANCE UNIT I SOFTWARE TESTING PRINCIPLES: Need for testing - Psychology of testing – Testing economics - White box‚ Black box‚ Grey box testing SDLC and Testing - Verification & Validation - Weyuker ’s adequacy axioms. UNIT II TESTING STRATEGIES: White box testing techniques - Statement coverage - Branch Coverage - Condition coverage - Decision/Condition coverage - Multiple condition coverage – Dataflow coverage - Mutation testing - Automated code
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