Nuclear Energy disasters and the effects on the Environment Research Paper

Nuclear Energy disasters and the effects on the Environment - Research Paper Example This notion continued until 1803 when an English chemist John Dalton revitalized the old notion and used it to explain various problems, which chemists at that time were struggling with. Rather than any of the experiments resulting to the idea, it surfaced from analysis of several experiments involving chemical reactions and properties of gases. Daltons theory became popularized and established experimentally in the course of early 19th century (Rogers, 2013). Most of the points mentioned above are still recognized by most current scientists, except for some few points. First, the radioactivity and nuclear fusion/fission discovery resulted to revision of point (b). Isotopes confirm that atoms of a similar element can in reality exhibit small disparities because of a diverse number of neutrons (Mara, 2011). In addition, the ions’ existence with unreliable electrons’ numbers also contradicts this point. Point (e) has also been nullified by nuclear physics, because atoms can certainly be destroyed in the nuclear chain reactions. Moreover, point (d)’s second item, is somewhat incorrect, as, for example, water is H2O, but not HO (Mara, 2011). Dalton’s assertion that atoms merge in equivalent amounts to create compounds delayed acceptance of the theory for a long time. In spite of today’s perspective, Dalton remarkably contributed for his time and since then his name continues to receive honor from its association with the theory. In nuclear power, nuclear accident means events, which emit certain amount of radiation that are likely to be of harm to the health of the public and also to the environment (Bortz, 2012). Normally, the nuclear accidents are categorized as nuclear incidents and accidents by severity. In addition, while the radioactive accidents and nuclear accidents are included for perfect understanding, nuclear accident can result from the failure of a reactor of a nuclear power plant radiation. Regardless of the fact that some

Compare and contrast some aspects of classification, using at least Essay

Compare and contrast some aspects of classification, using at least three examples of different approaches and their strengths and weaknesses - Essay Example Soumen et al (2009) agree that data quantity surrounding us is humongous and the amount of information bombarding us is increasing. Making sense of this increasing data volume requires data mining skills and techniques that have evolved with increase in computing power. An allied discipline is Competitive intelligence which is a discipline used for improving market standing, improving strategic thinking – seeing through morass of disinformation and market disruptions and interpreting events without getting emotionally swayed with â€Å"pregnant† data. It is about analyzing an opportunity or threat before it has materialized (Reviews 2007). Finding patterns in data is a common way of analysis. Scientists want to discover the pattern and use the patterns for developing theories that can be extended beyond the concerned data in allied fields. This helps the scientists predict what will happen in newer situations. Intelligence is thus about using the available information in an efficient manner based on picture which may or may not be perfectly clear and exploiting the gleaned intelligence for making strategic decisions. Data mining calls for electronic data storage and using of specified search for pattern identification. Global data doubles by in every 20 months, and increased availability of machines that can digest and process such data have increased opportunities for data mining. Intelligently analyzed data may our only redemption in making sense of the growing data volume. Bits and pieces of information lead to understanding of the big picture. Data mining is using the existing data to solve problems and discoverin g patterns in data. Consumer shopping data might help in eliciting likely reason for customer loyalty and churn. Also data analysis on same database may identify the reason why customer may be attracted to other product or service thus allowing development of special