999 resultados para State Board of Agriculture
Resumo:
The Board of Pharmacy at the South Carolina Department of Labor, Licensing and Regulation publishes a newsletter with news articles to promote compliance of pharmacy and drug law.
Resumo:
The Board of Pharmacy at the South Carolina Department of Labor, Licensing and Regulation publishes a newsletter with news articles to promote compliance of pharmacy and drug law.
Resumo:
The Board of Pharmacy at the South Carolina Department of Labor, Licensing and Regulation publishes a newsletter with news articles to promote compliance of pharmacy and drug law.
Resumo:
The Board of Pharmacy at the South Carolina Department of Labor, Licensing and Regulation publishes a newsletter with news articles to promote compliance of pharmacy and drug law.
Resumo:
The Board of Pharmacy at the South Carolina Department of Labor, Licensing and Regulation publishes a newsletter with news articles to promote compliance of pharmacy and drug law.
Resumo:
The Board of Pharmacy at the South Carolina Department of Labor, Licensing and Regulation publishes a newsletter with news articles to promote compliance of pharmacy and drug law.
Resumo:
The Board of Pharmacy at the South Carolina Department of Labor, Licensing and Regulation publishes a newsletter with news articles to promote compliance of pharmacy and drug law.
Resumo:
The Board of Pharmacy at the South Carolina Department of Labor, Licensing and Regulation publishes a newsletter with news articles to promote compliance of pharmacy and drug law.
Resumo:
The Board of Pharmacy at the South Carolina Department of Labor, Licensing and Regulation publishes a newsletter with news articles to promote compliance of pharmacy and drug law.
Resumo:
The South Carolina Board of Registration for Foresters at the Department of Labor, Licensing and Regulation publishes a newsletter on board and agency events, activities, and statistics.
Resumo:
The South Carolina Public Service Authority makes annual reports to the Advisory Board, reports are submitted to the General Assembly by the Governor, in which full information as to all of the Acts of said Board of Directors shall be given, together with financial statement and full information as to the work of the Authority.
Resumo:
The South Carolina Public Service Authority makes annual reports to the Advisory Board, which reports shall be submitted to the General Assembly by the Governor, in which full information as to all of the Acts of said Board of Directors shall be given, together with financial statement and full information as to the work of the Authority.
Resumo:
This paper presents the results of the planform stability classification for the headland-bay beaches of the State of Santa Catarina and of the Northern Coast of São Paulo, based on the application of the Parabolic Bay-Shape Equation (PBSE) to aerial images of the beaches, using the software MEPBAY®. For this purpose, georeferenced mosaics of the QuickBird2® satellite imagery (for the State of Santa Catarina) and vertical aerial photographs (for the northern coast of São Paulo State) were used. Headland-bay beach planform stability can be classified as: (1) in static equilibrium, (2) in dynamic equilibrium, (3) unstable or (4) in a state of natural beach reshaping. Static equilibrium beaches are the most frequent along the coast of the State of Santa Catarina and the Northern Shore of São Paulo, notably along the most rugged sectors of the coast and those with experiencing lower fluvial discharge. By comparison, dynamic equilibrium beaches occur primarily on the less rugged sectors of the coast and along regions with higher fluvial discharge. Beaches in a state of natural beach reshaping have only been found in SC, associated with stabilized estuarine inlets or port breakwaters. However, it is not possible to classify any of these beaches as unstable because only one set of images was used. No clear relation was observed between a beach's planform stability and other classification factors, such as morphodynamics or orientation.
Resumo:
Enzyme production is a growing field in biotechnology and increasing attention has been devoted to the solid-state fermentation (SSF) of lignocellulosic biomass for production of industrially relevant lignocellulose deconstruction enzymes, especially manganese-peroxidase (MnP), which plays a crucial role in lignin degradation. However, there is a scarcity of studies regarding extraction of the secreted metabolities that are commonly bound to the fermented solids, preventing their accurate detection and limiting recovery efficiency. In the present work, we assessed the effectiveness of extraction process variables (pH, stirring rate, temperature, and extraction time) on recovery efficiency of manganese-peroxidase (MnP) obtained by SSF of eucalyptus residues using Lentinula edodes using statistical design of experiments. The results from this study indicated that of the variables studied, pH was the most significant (p < 0.05%) parameter affecting MnP recovery yield, while temperature, extraction time, and stirring rate presented no statistically significant effects in the studied range. The optimum pH for extraction of MnP was at 4.0-5.0, which yielded 1500-1700 IU kg (1) of enzyme activity at extraction time 4-5 h, under static condition at room temperature. (C) 2011 Elsevier Ltd. All rights reserved.
Resumo:
In this paper, we propose an approach to the transient and steady-state analysis of the affine combination of one fast and one slow adaptive filters. The theoretical models are based on expressions for the excess mean-square error (EMSE) and cross-EMSE of the component filters, which allows their application to different combinations of algorithms, such as least mean-squares (LMS), normalized LMS (NLMS), and constant modulus algorithm (CMA), considering white or colored inputs and stationary or nonstationary environments. Since the desired universal behavior of the combination depends on the correct estimation of the mixing parameter at every instant, its adaptation is also taken into account in the transient analysis. Furthermore, we propose normalized algorithms for the adaptation of the mixing parameter that exhibit good performance. Good agreement between analysis and simulation results is always observed.
