The Current Status of Historical Preservation Law in Regularory Takings Jurisprudence: Has the Lucas Missile Dismantled Preservation Programs?

This paper describes our NIHRIO system for SemEval-2018 Task 3 "Irony detection in English tweets". We propose to use a simple neural network architecture of Multilayer Perceptron with various types of input features including: lexical, syntactic, semantic and polarity features.  Our system achieves very high performance in both subtasks of binary and multi-class irony detection in tweets. In particular, we rank at fifth in terms of the accuracy metric and the F1 metric. Our code is available at: https://github.com/NIHRIO/IronyDetectionInTwitte

Three essays on financial intermediation

Financial intermediation plays a central role in connecting capital demanders, i. e. firms, and capital suppliers, i. e. investors. My essays focus on two types of financial intermediaries, namely investment banks, who provide a variety of services for firms and institutional investors, and sell-side security analysts, who analyze and provide information about firms, mainly, to institutional investors. The first essay studies security analysts’ cognitive biases in issuing earnings forecasts; the second essay studies analysts’ capital expenditure forecasts; and, the third essay studies the underwriting relationship value between investment banks and their client firms

Dynamic Hurricane Data Analysis Tool

A dynamic hurricane data analysis tool allows users of the JPL Tropical Cyclone Information System (TCIS) to analyze data over a Web medium. The TCIS software is described in the previous article, Tropical Cyclone Information System (TCIS) (NPO-45748). This tool interfaces with the TCIS database to pull in data from several different atmospheric and oceanic data sets, both observed by instruments. Users can use this information to generate histograms, maps, and profile plots for specific storms. The tool also displays statistical values for the user-selected parameter for the mean, standard deviation, median, minimum, and maximum values. There is little wait time, allowing for fast data plots over date and spatial ranges. Users may also zoom-in for a closer look at a particular spatial range. This is version 1 of the software. Researchers will use the data and tools on the TCIS to understand hurricane processes, improve hurricane forecast models and identify what types of measurements the next generation of instruments will need to collect

"One-Stop Shopping" for Ocean Remote-Sensing and Model Data

OurOcean Portal 2.0 (http:// ourocean.jpl.nasa.gov) is a software system designed to enable users to easily gain access to ocean observation data, both remote-sensing and in-situ, configure and run an Ocean Model with observation data assimilated on a remote computer, and visualize both the observation data and the model outputs. At present, the observation data and models focus on the California coastal regions and Prince William Sound in Alaska. This system can be used to perform both real-time and retrospective analyses of remote-sensing data and model outputs. OurOcean Portal 2.0 incorporates state-of-the-art information technologies (IT) such as MySQL database, Java Web Server (Apache/Tomcat), Live Access Server (LAS), interactive graphics with Java Applet at the Client site and MatLab/GMT at the server site, and distributed computing. OurOcean currently serves over 20 real-time or historical ocean data products. The data are served in pre-generated plots or their native data format. For some of the datasets, users can choose different plotting parameters and produce customized graphics. OurOcean also serves 3D Ocean Model outputs generated by ROMS (Regional Ocean Model System) using LAS. The Live Access Server (LAS) software, developed by the Pacific Marine Environmental Laboratory (PMEL) of the National Oceanic and Atmospheric Administration (NOAA), is a configurable Web-server program designed to provide flexible access to geo-referenced scientific data. The model output can be views as plots in horizontal slices, depth profiles or time sequences, or can be downloaded as raw data in different data formats, such as NetCDF, ASCII, Binary, etc. The interactive visualization is provided by graphic software, Ferret, also developed by PMEL. In addition, OurOcean allows users with minimal computing resources to configure and run an Ocean Model with data assimilation on a remote computer. Users may select the forcing input, the data to be assimilated, the simulation period, and the output variables and submit the model to run on a backend parallel computer. When the run is complete, the output will be added to the LAS server fo

Old, single and poor

This paper uses microdata and NATSEM\u27s microsimulation models to examine the spatial distribution of poverty among older single people and to test the likely impact upon national and small area poverty rates of an increase in the single age pension rate. In recent months in Australia there has been extended debate about whether the age pension is sufficiently high to allow older Australians to attain an acceptable standard of living. This paper uses microdata and NATSEM\u27s microsimulation models to examine the spatial distribution of poverty among older single people and to test the likely impact upon national and small area poverty rates of an increase in the single age pension rate. The paper provides an illustration of the usefulness of microsimulation models to policy makers. Changes in a country\u27s tax and transfer systems can have a large effect on incomes, and can be targeted towards increasing incomes for the poor, thus reducing poverty rates. However, governments need an estimate of the extent to which a proposed policy change is likely to affect poverty rates, in order to be able to compare different proposals. Microsimulation models allow this comparison of proposed policies and can provide governments with an appreciation of how much a new policy is likely to cost; how many and what types of low income people will benefit; and the extent of any consequent reduction in the poverty rate. Until recently, microsimulation models have been able to estimate the effects of such changes only at a national or very broad regional level. NATSEM has now linked its tax/transfer microsimulation model (STINMOD) to spatially disaggregated census data, producing a spatial microsimulation model which can be used to identify the neighbourhood effects of policy changes for small areas