An Analysis Of The Polar Orientations Of Educational Administration And Their Implications For Educational Leadership.

Ph.D.School administrationUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/182540/2/5904939.pd

An Air Pollution Prediction Scheme Using Long Short Term Memory Neural Network Model

In order to establish countermeasures for air pollution, it is first necessary to accurately grasp the air pollution state and predict the cause and change trend of the pollution situation. Due to the continuously strengthening regulations on the emissions of environmental pollutants, the forecasting and management of nitrogen oxides (NOx) emissions is receiving a lot of attention from industrial sites. In this study, a model for predicting nitrogen oxide emissions based on artificial intelligence was proposed. The proposed model includes everything from data preprocessing to learning and evaluation of the model, and used a Long ShortTerm Memory (LSTM) neural network model, one of the recurrent neural networks, to predict NOx emissions with time-series characteristics. The optimized LSTM model showed more than 93% NOx emissions prediction accuracy for both the training data and the evaluation data. The model proposed in this study is expected to be applied to the development of a model for predicting the emission of various air pollutants with time-series characteristics

Nanoscale-nMOSFET junction design: Quantum transport approach

Employing quantum transport solver, we have demonstrated the impact of junction proximity and abruptness on device performance. To entail the discrete dopant effect accurately, impurity scattering has been introduced in non-perturbative way. The electrostatic metrics and effective current have been evaluated for practical dimensions and technologically relevant junctions. A simple guideline for junction design has been concluded

Group solidarity and social order in Japan

This paper seeks to explain why Japan has attained a higher level of social order than comparably developed western national societies. To do so, it distinguishes the attainment of local order in social groups from the global order in national societies. Recent models of spontaneous, self-organizing order are insufficient to account for global order. In contrast to the more popular normative explanation of order in Japan, which holds that a consensus on fundamental values derived from Confucian roots is an essential cause, this paper proposes a solidaristic theory built on rational choice premises. This new theory views global order as a by-product of dependence and visibility mechanisms within key social groups such as families, schools and firms. A wide range of comparative evidence reveals that the solidaristic theory provides a superior explanation of the high level of social order in Japan than the normative one