790 resultados para Wildlife viewing sites
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A report by the Iowa Department of Natural Resources on the trends of Iowa wildlife populations and harvest.
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A report by the Iowa Department of Natural Resources on the trends of Iowa wildlife populations and harvest.
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A report by the Iowa Department of Natural Resources on the trends of Iowa wildlife populations and harvest.
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A report by the Iowa Department of Natural Resources on the trends of Iowa wildlife populations and harvest.
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A report by the Iowa Department of Natural Resources on the trends of Iowa wildlife populations and harvest.
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A report by the Iowa Department of Natural Resources on the trends of Iowa wildlife populations and harvest.
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A report by the Iowa Department of Natural Resources on the trends of Iowa wildlife populations and harvest.
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The information presented in this summary document has been based on the comprehensive,"Task Force Report on Water-Oriented Outdoor Recreation, Fish and Wildlife." The overriding principle the main task force report conveyed is that Iowa should not forsake the remaining water-oriented fish and wildlife resource base in the name of economic development.The reader should refer to the task force document for more detailed information.
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[Abstract]
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In anticipation of regulation involving numeric turbidity limit at highway construction sites, research was done into the most appropriate, affordable methods for surface water monitoring. Measuring sediment concentration in streams may be conducted a number of ways. As part of a project funded by the Iowa Department of Transportation, several testing methods were explored to determine the most affordable, appropriate methods for data collection both in the field and in the lab. The primary purpose of the research was to determine the exchangeability of the acrylic transparency tube for water clarity analysis as compared to the turbidimeter.
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SCG10 is a neuron-specific, membrane-associated protein that is highly concentrated in growth cones of developing neurons. Previous studies have suggested that it is a regulator of microtubule dynamics and that it may influence microtubule polymerization in growth cones. Here, we demonstrate that in vivo, SCG10 exists in both phosphorylated and unphosphorylated forms. By two-dimensional gel electrophoresis, two phosphoisoforms were detected in neonatal rat brain. Using in vitro phosphorylated recombinant protein, four phosphorylation sites were identified in the SCG10 sequence. Ser-50 and Ser-97 were the target sites for protein kinase A, Ser-62 and Ser-73 for mitogen-activated protein kinase and Ser-73 for cyclin-dependent kinase. We also show that overexpression of SCG10 induces a disruption of the microtubule network in COS-7 cells. By expressing different phosphorylation site mutants, we have dissected the roles of the individual phosphorylation sites in regulating its microtubule-destabilizing activity. We show that nonphosphorylatable mutants have increased activity, whereas mutants in which phosphorylation is mimicked by serine-to-aspartate substitutions have decreased activity. These data suggest that the microtubule-destabilizing activity of SCG10 is regulated by phosphorylation, and that SCG10 may link signal transduction of growth or guidance cues involving serine/threonine protein kinases to alterations of microtubule dynamics in the growth cone.
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Abstract One of the most important issues in molecular biology is to understand regulatory mechanisms that control gene expression. Gene expression is often regulated by proteins, called transcription factors which bind to short (5 to 20 base pairs),degenerate segments of DNA. Experimental efforts towards understanding the sequence specificity of transcription factors is laborious and expensive, but can be substantially accelerated with the use of computational predictions. This thesis describes the use of algorithms and resources for transcriptionfactor binding site analysis in addressing quantitative modelling, where probabilitic models are built to represent binding properties of a transcription factor and can be used to find new functional binding sites in genomes. Initially, an open-access database(HTPSELEX) was created, holding high quality binding sequences for two eukaryotic families of transcription factors namely CTF/NF1 and LEFT/TCF. The binding sequences were elucidated using a recently described experimental procedure called HTP-SELEX, that allows generation of large number (> 1000) of binding sites using mass sequencing technology. For each HTP-SELEX experiments we also provide accurate primary experimental information about the protein material used, details of the wet lab protocol, an archive of sequencing trace files, and assembled clone sequences of binding sequences. The database also offers reasonably large SELEX libraries obtained with conventional low-throughput protocols.The database is available at http://wwwisrec.isb-sib.ch/htpselex/ and and ftp://ftp.isrec.isb-sib.ch/pub/databases/htpselex. The Expectation-Maximisation(EM) algorithm is one the frequently used methods to estimate probabilistic models to represent the sequence specificity of transcription factors. We present computer simulations in order to estimate the precision of EM estimated models as a function of data set parameters(like length of initial sequences, number of initial sequences, percentage of nonbinding sequences). We observed a remarkable robustness of the EM algorithm with regard to length of training sequences and the degree of contamination. The HTPSELEX database and the benchmarked results of the EM algorithm formed part of the foundation for the subsequent project, where a statistical framework called hidden Markov model has been developed to represent sequence specificity of the transcription factors CTF/NF1 and LEF1/TCF using the HTP-SELEX experiment data. The hidden Markov model framework is capable of both predicting and classifying CTF/NF1 and LEF1/TCF binding sites. A covariance analysis of the binding sites revealed non-independent base preferences at different nucleotide positions, providing insight into the binding mechanism. We next tested the LEF1/TCF model by computing binding scores for a set of LEF1/TCF binding sequences for which relative affinities were determined experimentally using non-linear regression. The predicted and experimentally determined binding affinities were in good correlation.
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Työn tarkoituksena oli tutkia sisältö- ja diskurssianalyysin avulla kuinka yritykset viestivät asiakasreferenssejä verkkosivuillaan. Työssä keskityttiin tutkimaan yritysten referenssikuvausten teemoja ja diskursseja, sekä sitä kuinka referenssisuhde rakentuu diskursiivisesti referenssikuvauksissa. Tutkimukseen valittiin kolme suomalaista ICT-alan yritystä: Nokia, TietoEnator ja F-Secure. Aineisto koostuu 140:stä yritysten WWW-sivuilta kerätystä referenssikuvauksesta. Sisältöanalyysin tuloksena havaittiin, että referenssikuvaukset keskittyvät kuvaamaan yksittäisiä tuote- tai projektitoimituksia referenssiasiakkaille kyseisten asiakassuhteiden valossa. Analyysin tuloksena tunnistettiin kolme diskurssia: hyötydiskurssi, sitoutumisen diskurssi sekä teknologisen eksperttiyden diskurssi. Diskurssit paljastavat referenssikuvausten retoriset keinot ja konstruoivat referenssisuhteen ja toimittajan subjektiposition eri näkökulmista. Pääpaino referenssikuvauksissa on toimittajan ratkaisun tuomissa hyödyissä. Diskurssit tuottavat referenssisuhteesta kuvan hyötyjä tuovana ja läheisenä asiakassuhteena, joka tarjoaa väylän ulkopuolisiin kyvykkyyksiin ja teknologioihin. Toimittaja esitetään referenssikuvauksissa diskurssista riippuen hyötyjen tuojana, luotettavana partnerina sekä kokeneena eksperttinä. Referenssiasiakas sen sijaan esitetään vain yhdestä näkökulmasta stereotyyppisesti tärkeänä ja tyytyväisenä asiakkaana.
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Forensic archaeology has been of inestimable help in the location and excavation of clandestine burials (Hunter 1996a:16-17, 1996b; Killam 2004; Levine et al. 1984). Landscape archaeology techniques have been adapted and widely applied for such purposes. In this article, an adaptation of one of the most common applications of archaeological GIS, that is predictive site location, is applied to the detection of body dump sites and clandestine burial sites, bringing together in the process the fields of landscape archaeology, forensic sciences, and GIS.