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The Congressional Record is the official record of the proceedings and debates of the United States Congress. It is published daily when Congress is in session. The Congressional Record began publication in 1873. Debates for sessions prior to 1873 are recorded in The Debates and Proceedings in the Congress of the United States (1789-1824), the Register of Debates in Congress (1824-1837), and the Congressional Globe (1833-1873)
Some vols. include supplemental journals of "such proceedings of the sessions, as, during the time they were depending, were ordered to be kept secret, and respecting which the injunction of secrecy was afterwards taken off by the order of the House."
Managing nuclear power emergencies is significantly different from managing other types of emergencies, including fire, flood, and other disasters because nuclear disaster management requires special technical skills and a rigid protocol which outlines detailed steps and procedure before an evacuation announcement could be made. It was evident that the impacts from a nuclear power core-meltdown accident were immerse, irreversible, and inevitable, as evident by evaluating the three historic core-meltdown accidents, namely Three Mile Island in 1997, Chernobyl in 1986, and Fukushima Daiichi in 2011. The three options for minimizing the risks associated with NPPs are suggesting elimination of all NPPs in operation in the United States, transforming inevitable risks to evitable risks, and transforming the current radiological plan into an effective emergency management plan. Being the latter option is the only viable one, this book provides a comprehensive understanding on effectively managing nuclear power emergencies in the U.S. The book presents detailed analysis on effectively managing nuclear power emergencies. In an attempt to illustrate minimizing the risks, factual answers to the key questions surrounding managing nuclear disasters are outlined. What are the risks associated with the nuclear power plants (NPP)? What are the problems associated with managing nuclear power core-meltdown accidents in the three historic accidents? Where are the geographical locations of the 99 commercial reactors in the U.S? Who are those exposed to potential risks associated with the NPPs? How could a projection of radioactive plume dispersion pathway be carried out using a spatial computer code, such as the Radiological Assessment Systems for Consequence Analysis (RASCAL) in case of a core-meltdown accident? Where would the radioactive plume go given weather conditions? Who are more likely to be exposed to the high level radiation dose during the core-meltdown accident? What are the issues with the current radiological emergency plan?
The book aims to advance global knowledge and practice in applying data science to transform higher education learning and teaching to improve personalization, access and effectiveness of education for all. Currently, higher education institutions and involved stakeholders can derive multiple benefits from educational data mining and learning analytics by using different data analytics strategies to produce summative, real-time, and predictive or prescriptive insights and recommendations. Educational data mining refers to the process of extracting useful information out of a large collection of complex educational datasets while learning analytics emphasizes insights and responses to real-time learning processes based on educational information from digital learning environments, administrative systems, and social platforms. This volume provides insight into the emerging paradigms, frameworks, methods and processes of managing change to better facilitate organizational transformation toward implementation of educational data mining and learning analytics. It features current research exploring the (a) theoretical foundation and empirical evidence of the adoption of learning analytics, (b) technological infrastructure and staff capabilities required, as well as (c) case studies that describe current practices and experiences in the use of data analytics in higher education.