Allegation of a Violation of the State Procurement Code and Other Issues Related to a Statewide Term Contract Involving the Department of Revenue and the Department of Health and Environmental Control

A complainant alleged the Department of Revenue violated the South Carolina Procurement Code. This paper examines that complaint.

The State Inspector General’s Annual Report of Fraud Conducted by Executive Branch State Employees Fiscal Year (FY) 2015-2016

The SIG identifies Executive Branch employee fraud through mandatory reporting by each agency; law enforcement reporting; agencies’ annual reports to the Office of the Comptroller General; and open source reporting. In FY 2015-2016, the SIG received twelve notifications of fraud involving 18 Executive Branch employees at ten statewide agencies, which resulted in estimated losses of $1,188,529. This indicates a low risk of employee fraud in the Executive Branch given its $26 billion budget and 60,000 employees.

South Carolina State Agencies & Colleges/Universities RECYCLING & BUYING RECYCLED Annual Report Fiscal Year 2016

This report provides an overview of the recycling and buying recycled activities of state agencies and colleges/universities for fiscal year 2016

New South Carolina state documents - November & December 2016

The monthly New South Carolina State Documents publication by the State Library provides a list of state documents published by state agencies that have been cataloged and added to the South Carolina State Documents Depository. Included is the title, author and/or agency, description, thumbnail, link to access full-text file, and OCLC number.

DECISION TREE CLASSIFIERS FOR STAR/GALAXY SEPARATION

We study the star/galaxy classification efficiency of 13 different decision tree algorithms applied to photometric objects in the Sloan Digital Sky Survey Data Release Seven (SDSS-DR7). Each algorithm is defined by a set of parameters which, when varied, produce different final classification trees. We extensively explore the parameter space of each algorithm, using the set of 884,126 SDSS objects with spectroscopic data as the training set. The efficiency of star-galaxy separation is measured using the completeness function. We find that the Functional Tree algorithm (FT) yields the best results as measured by the mean completeness in two magnitude intervals: 14 <= r <= 21 (85.2%) and r >= 19 (82.1%). We compare the performance of the tree generated with the optimal FT configuration to the classifications provided by the SDSS parametric classifier, 2DPHOT, and Ball et al. We find that our FT classifier is comparable to or better in completeness over the full magnitude range 15 <= r <= 21, with much lower contamination than all but the Ball et al. classifier. At the faintest magnitudes (r > 19), our classifier is the only one that maintains high completeness (> 80%) while simultaneously achieving low contamination (similar to 2.5%). We also examine the SDSS parametric classifier (psfMag - modelMag) to see if the dividing line between stars and galaxies can be adjusted to improve the classifier. We find that currently stars in close pairs are often misclassified as galaxies, and suggest a new cut to improve the classifier. Finally, we apply our FT classifier to separate stars from galaxies in the full set of 69,545,326 SDSS photometric objects in the magnitude range 14 <= r <= 21.

Net greenhouse gas fluxes in Brazilian ethanol production systems

Biofuels are both a promising solution to global warming mitigation and a potential contributor to the problem. Several life cycle assessments of bioethanol have been conducted to address these questions. We performed a synthesis of the available data on Brazilian ethanol production focusing on greenhouse gas (GHG) emissions and carbon (C) sinks in the agricultural and industrial phases. Emissions of carbon dioxide (CO(2)) from fossil fuels, methane (CH(4)) and nitrous oxide (N(2)O) from sources commonly included in C footprints, such as fossil fuel usage, biomass burning, nitrogen fertilizer application, liming and litter decomposition were accounted for. In addition, black carbon (BC) emissions from burning biomass and soil C sequestration were included in the balance. Most of the annual emissions per hectare are in the agricultural phase, both in the burned system (2209 out of a total of 2398 kg C(eq)), and in the unburned system (559 out of 748 kg C(eq)). Although nitrogen fertilizer emissions are large, 111 kg C(eq) ha-1 yr-1, the largest single source of emissions is biomass burning in the manual harvest system, with a large amount of both GHG (196 kg C(eq) ha-1 yr-1). and BC (1536 kg C(eq) ha-1 yr-1). Besides avoiding emissions from biomass burning, harvesting sugarcane mechanically without burning tends to increase soil C stocks, providing a C sink of 1500 kg C ha-1 yr-1 in the 30 cm layer. The data show a C output: input ratio of 1.4 for ethanol produced under the conventionally burned and manual harvest compared with 6.5 for the mechanized harvest without burning, signifying the importance of conservation agricultural systems in bioethanol feedstock production.

Comportamento Interpessoal do Professor: um reflexo da sua auto-eficácia?

Dissertação apresentada para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Ciências da Educação

Footnotes, July/August 2003, Vol. 27, no. 7/8

News of Iowa libraries and the State Library of Iowa.

Footnotes January/February 2003, Vol.27, no. 1/2

Monthly newsletter for the State Library of Iowa

Footnotes March/April 2003, Vol. 27, no.3/4

Monthly newsletter for the State Library of Iowa

Footnotes November/December 2002, Vol.26, no.11/12

Monthly newsletter for the State Library of Iowa.

Footnotes, September/October 2002, Vol.26 no.9/10

Monthly newletters for the State Library of Iowa

Footnotes July/August 2002, Vol.26 no.7/8

Monthly newsletter for the State Library.

Footnotes June 2002, Vol.26, no.6

Monthly newsleter of the State Library

Footnotes April/May 2002, Vol.26, no.4/5

Monthly newsletter of the State Library