Rhode Island Marine Debris Pilot Project

The Rhode Island Marine Debris Pilot Project was initiated in Newport, R.I. during the summer of 1991. The objective of the project was to decrease recreational boaters\u27 contribution to marine debris. Two methods were used to achieve this goal. First, trash and recycling disposal facilities were increased around the harbor. Secondly, educational literature on the environmental consequences of marine debris, and the law that applies to overboard disposal, were distributed throughout the local marine community. The implementation of the pilot project led to a significant increase in the amount of debris brought ashore by boaters, and a decrease in the amount of floating debris in Newport Harbor

The Government Service Technological Revolution: Challenges and Opportunities to Local Governments in Regard to E- Government Implementation and Advancement

This analysis addreses the various issues that affect local government\u27s ability to provide services via the web. The focus will be on e government services provided through local town websites. Discussed are various obstacles and opportunities that local municipalities and small government entities face with the adoption of e government services

Study and assessment of advanced ETC/LSS application to space shuttle

A variety of advanced life support components and subsystems are evaluated to determine their potential application to the space shuttle and related vehicles

Data Mining to Uncover Heterogeneous Water Use Behaviors From Smart Meter Data

Knowledge on the determinants and patterns of water demand for different consumers supports the design of customized demand management strategies. Smart meters coupled with big data analytics tools create a unique opportunity to support such strategies. Yet, at present, the information content of smart meter data is not fully mined and usually needs to be complemented with water fixture inventory and survey data to achieve detailed customer segmentation based on end use water usage. In this paper, we developed a data‐driven approach that extracts information on heterogeneous water end use routines, main end use components, and temporal characteristics, only via data mining existing smart meter readings at the scale of individual households. We tested our approach on data from 327 households in Australia, each monitored with smart meters logging water use readings every 5 s. As part of the approach, we first disaggregated the household‐level water use time series into different end uses via Autoflow. We then adapted a customer segmentation based on eigenbehavior analysis to discriminate among heterogeneous water end use routines and identify clusters of consumers presenting similar routines. Results revealed three main water end use profile clusters, each characterized by a primary end use: shower, clothes washing, and irrigation. Time‐of‐use and intensity‐of‐use differences exist within each class, as well as different characteristics of regularity and periodicity over time. Our customer segmentation analysis approach provides utilities with a concise snapshot of recurrent water use routines from smart meter data and can be used to support customized demand management strategies.TU Berlin, Open-Access-Mittel - 201

Plasma Properties in the Plume of a Hall Thruster Cluster

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/76225/1/AIAA-3765-486.pd

Early-Onset Epileptic Encephalopathies: Ohtahara Syndrome and Early Myoclonic Encephalopathy

AbstractOhtahara syndrome and early myoclonic encephalopathy are the earliest presenting of the epileptic encephalopathies. They are typically distinguished from each other according to specific clinical and etiologic criteria. Nonetheless, considerable overlap exists between the two syndromes in terms of clinical presentation, prognosis, and electroencephalographic signature. Newer understandings of underlying etiologies of these conditions may support the previously suggested concept that they represent a single spectrum of disease rather than two distinct disorders. We review both syndromes, with particular focus on the underlying genetics and pathophysiology and implications regarding the classification of these conditions