Extraction disaster

A company s culture can make or break even a well-designed data collection system. Essential requirements are minimal use of blame, freedom from fear of reprisals, and feedback which indicates that the information being generated is being used to make changes that will be beneficial to everybody. All three factors are vital for the success of a data collection system and are all, to a certain extent, under the control of management. To illustrate the effect of the absence of such factors, here is an extract from the report into the Challenger space shuttle disaster ... 

At about this time (1931), an OTC potion called Jake poisoned hundreds of people. It was probably a peripheral neurotoxin due to an adulterant in an extract of Jamaican ginger Jake-leg became a recognized syndrome. While Jake the Peg , with an extra leg (i.e. an axillary crutch), became famous, it needed a much bigger disaster to move legislative and public opinion. 

In this paper, a plurality of data of analysis of ground water quality test were pre-processed with Immune Algorithm (lA). The key characteristics of coal mine water inrush source data are extracted by characteristic analysis method. The complexity of the data is reduced by reducing the dimensionality of the data set. With the help of the data after dimension reduction, the Back Propagation Neural Network (BPNN) is trained. The coal mine water inrush source is recognized by the trained BPNN. Experiments show that if the source of mine disaster water is identified by the method developed in the paper, its accuracy can reach 93%. The more detailed introduction on the method is given below. 

It is just as important to extract lessons from lesser incidents, those semi-accidents which could have evolved into a disaster. In this field, the NRC keeps records that include the evaluation and publication of results. 

Even if disposal in space were restricted to waste from reprocessing used fuel, the economics of launch payloads would mean that this option could be considered only for the most problematic radionuclides [27], thereby requiring additional processing of the waste stream to extract these elements. The need for disposal of the other wastes would not be eliminated. Even more compellingly, this option has been all but eliminated from consideration by the risk of launch failures such as the Challenger disaster in 1986 and by the adverse repercussions of the 8 million search and clean-up exercise in northern Canada in 1978 after the breakup on re-entry of a satellite nuclear power-pack. 

This book enlists a diverse group of experts to review the Columbia disaster and to extract organizational lessons from it. Thanks to the documentation compiled by the CAIB, as well as other NASA studies, this endeavor involves a rich and multifaceted exploration of a real organization. Because disasters are (thankfully) very unusual, we need to use multiple observers, interpretations, and evaluation criteria to experience history more richly (March et al., 1991). Some contributors to this book draw conclusions very different from the CAIB s. 

EPR also has been used by archaeologists for the dating of teeth. Radiation damage over long periods of time creates free radicals in tooth enamel, which can then be examined by EPR and, after proper calibration, dated. Alternatively, material extracted from the teeth of people during dental procedures can be used to quantify their cumulative exposure to ionizing radiation. People exposed to radiation from the Chernobyl disaster have been examined by this method. 

There are many factors that affect oil supply. Changes in geopolitics are very important. Natural disasters can also have an impact. The total amount of proven and unproven reserves worldwide is important. The development and use of new technologies to extract these oil deposits and deliver them to the marketplace is also necessary for sustained growth. The present and future concerns regarding the environment will also have an effect. 

MeierP (2013) Automatically extracting disaster-relevant information, http //irevolution.net/2013/04/01/auto-extracting-disaster-info/... 

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