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Full-Text Articles in Physical Sciences and Mathematics
A 60- Year Record Of The Demotechnic Index Of States, 1960-2019, Gavin James Kellough
A 60- Year Record Of The Demotechnic Index Of States, 1960-2019, Gavin James Kellough
Graduate Theses and Dissertations
A country’s dependency on energy resources can be interpreted through the calculation of energy indices. The Demotechnic Index (DI) was used to determine the trajectory of energy efficiency of each state in the United States over the period 1960-2019. The DI serves as a measure of the energy intensity of states and a proxy for energy sustainability of each state.The DI is the ratio of total energy use to total metabolic energy demand of a population. Mathematically, DI = (E_T-E_M)/E_M E_T represents the total energy used (metabolic energy + technological energy in kilojoules annually, kJ/y), while EM represents the basic …
Diversity – Independent Factors Predict Elevated Extinction Rates, Dustin Perriguey
Diversity – Independent Factors Predict Elevated Extinction Rates, Dustin Perriguey
Earth and Planetary Sciences Faculty and Staff Publications
Multiple linear regression was used to determine the relationships between diversity-independent factors (i.e., abiotic, climatic) 2, 5, and 10 Myrs-prior to the most elevated Phanerozoic extinctions. We constructed five abiotic variables from Phanerozoic proxy records1–5 to compare to extinction rates: mean temperature, temperature instability, carbon cycle instability, continental weathering rates, and habitat instability. All three models were statistically significant (P < 0.05) and explained > 70% of the variation in Alroy’s6 three-timer generic extinction rates. However, the 2 Myr-prior model explained the most variance in extinction rates and had the most predictive power, based on adjusted and predictive R2 (~ 72% and 41%, respectively). Carbon …
Diversity – Independent Factors Predict Elevated Extinction Rates, Dustin Perriguey, Corinne Myers, Jason Moore, Louis Scuderi
Diversity – Independent Factors Predict Elevated Extinction Rates, Dustin Perriguey, Corinne Myers, Jason Moore, Louis Scuderi
Earth and Planetary Sciences ETDs
Multiple linear regression was used to determine the relationships between diversity-independent factors (i.e., abiotic, climatic) 2, 5, and 10 Myrs-prior to the most elevated Phanerozoic extinctions. We constructed five abiotic variables from Phanerozoic proxy records1–5 to compare to extinction rates: mean temperature, temperature instability, carbon cycle instability, continental weathering rates, and habitat instability. All three models were statistically significant (P < 0.05) and explained > 70% of the variation in Alroy’s6 three-timer generic extinction rates. However, the 2 Myr-prior model explained the most variance in extinction rates and had the most predictive power, based on adjusted and predictive R2 (~ 72% and 41%, respectively). Carbon …
Answers In The East: An Examination Of China's Renewable Energy And Its Application To Central Appalachia, Lillian Hamm
Answers In The East: An Examination Of China's Renewable Energy And Its Application To Central Appalachia, Lillian Hamm
Mahurin Honors College Capstone Experience/Thesis Projects
While much of China’s electrification has depended on coal, recent decades illustrate the country is heavily investing in and implementing renewable energy as a power source. Even China’s coal-rich provinces, like the northeastern province of Shanxi, have been making the transition to renewable energy. The central Appalachian states comprised of eastern Kentucky, West Virginia, western Virginia, and northeastern Tennessee share many characteristics with China’s Shanxi province including economic resources, climate, and geography. Yet, central Appalachia has not been able to easily transition to renewable energy. However, there are various cultural, political, and technological differences between the two regions to explain …