552 research outputs found

    South Virgin-White Hills detachment fault system of SE Nevada and NW Arizona: Applying apatite fission track thermochronology to constrain the tectonic evolution of a major continental detachment fault

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    The South Virgin-White Hills detachment (SVWHD) in the central Basin and Range province with an along-strike extent of similar to 60 km is a major continental detachment fault system. Displacement on the SVWHD decreases north to south from similar to 17 to <6 km. This is accompanied by a change in fault and footwall rock type from mylonite overprinted by cataclasite to chlorite cataclasite and then fault breccia reflecting decreasing fault displacement and footwall exhumation. Apatite fission track (AFT) thermochronology was applied both along-strike and across-strike to assess this displacement gradient. The overall thermal history reflects Laramide cooling (similar to 75 Ma) and then rapid cooling beginning in the late early Miocene. Age patterns reflect some complexity but extension along the SVWHD appears synchronous with rapid cooling initiated at similar to 17 Ma due to tectonic exhumation. Slip rate is more rapid (similar to 8.6 km/Ma) in the north compared to similar to 1 km/Ma in the south. The displacement gradient results from penecontemporaneous along-strike motion and formation of the SVWHD by linkage of originally separate fault segments that have differential displacements and hence differential slip rates. East west transverse structures likely play a role in linkage of different fault segments. The preextension paleogeothermal gradient is well constrained in the Gold Butte block as 18-20 degrees C/km. We present a new thermochronologic approach to constrain fault dip during slip, treating the vertical exhumation rate and the slip as vectors, with the angle between them used to constrain fault dip during slip through the closure temperature of a particular thermochronometer. AFT data from the western rim of the Colorado Plateau. Citation: Fitzgerald, P. G., E. M. Duebendorfer, J. E. Faulds, and P. O'Sullivan (2009), South Virgin-White Hills detachment fault system of SE Nevada and NW Arizona: Applying apatite fission track thermochronology to constrain the tectonic evolution of a major continental detachment fault, Tectonics, 28, TC2001, doi:10.1029/2007TC002194

    Sales Force Automation Acceptance: An Exploratory Study Of The Role Of Job Experience

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    User perceptions of new technologies may ultimately affect their acceptance of that technology. Recent research has identified a clear connection between user perceptions of Sales Force Automation and their acceptance of Sales Force Automation technologies.&nbsp; Anecdotal evidence suggests that relative to less experienced salespeople, more experienced salespeople tend to have more negative perceptions of sales force automation.&nbsp; This paper examines the relationship between job experience and perceptions of a sales force automation system.&nbsp; The results are based on a survey of 1,657 salespeople about their perceptions of several aspects of a sales force automation system in a large sales organization.&nbsp; This study finds significant differences by sales experience in areas such as perceived productivity/efficiency gain, perception of sales force automation as a micromanagement tool, and user satisfaction with system functionality.&nbsp; Based on these results several important managerial implications for the adoption of a sales force automation system are suggested

    Sale Force Automation Systems: The Correspondence Between The Perception Of Productivity Gains And The Perception Of Management Control Among Salespeople

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    Sales force automation (SFA) technologies have many apparent benefits, but the adoption of SFA systems often fails because the sales force holds poor perceptions of these technologies. Understanding how these perceptions affect adoption of SFA systems is important because negative perceptions held by the sales force can often adversely influence the successful adoption and implementation of such systems. This paper examines how the sales forceā€™sĀ  perceptions of productivity gains resulting from the adoption of an SFA system can be affected by their corresponding Ā perception of the SFA system as a tool employed by upper-level management to more closely manage the activities of the sales force. The results are based on a national survey of 1,657 salespeople. The findings indicate a negative relationship between salespeopleā€™s perceptions of the potential gains associated with the adoption of an SFA system and their corresponding perception of the use of the system by upper-level management to more closely manage the activities of the sales force

    Bioanalytical measurements enabled by surface-enhanced Raman scattering (SERS) probes

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    Since its discovery in 1974, surface-enhanced Raman scattering (SERS) has gained momentum as an important tool in analytical chemistry. SERS is used widely for analysis of biological samples, ranging from in vitro cell culture models, ex vivo tissue and blood samples, and direct in vivo application. New insights have been gained into biochemistry, with an emphasis on biomolecule detection, from small molecules such as glucose and amino acids to larger biomolecules such as DNA, proteins, and lipids. These measurements have increased our understanding of biological systems, and significantly, they have improved diagnostic capabilities. SERS probes display unique advantages in their detection sensitivity and multiplexing capability. We highlight key considerations that are required when performing bioanalytical SERS measurements, including sample preparation, probe selection, instrumental configuration, and data analysis. Some of the key bioanalytical measurements enabled by SERS probes with application to in vitro, ex vivo, and in vivo biological environments are discussed

    Introducing 12 new dyes for use with oligonucleotide functionalised silver nanoparticles for DNA detection with SERS

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    Oligonucleotide functionalised metallic nanoparticles (MNPs) have been shown to be an effective tool in the detection of disease-specific DNA and have been employed in a number of diagnostic assays. The MNPs are also capable of facilitating surface enhanced Raman scattering (SERS) enabling detection to become highly sensitive. Herein we demonstrate the expansion of the range of specific SERS-active oligonucleotide MNPs through the use of 12 new Raman-active monomethine and trimethine chalcogenopyrylium and benzochalcogenopyrylium derivatives. This has resulted in an increased ability to carry out multiplexed analysis beyond the current small pool of resonant and non-resonant Raman active molecules, that have been used with oligonucleotide functionalised nanoparticles. Each dye examined here contains a variation of sulphur and selenium atoms in the heterocyclic core, together with phenyl, 2-thienyl, or 2-selenophenyl substituents on the 2,2ā€™,6, and 6ā€™ positions of the chalcogenopyrylium dyes and 2 and 2ā€™ positions of the benzochalcogenopyrylium dyes. The intensity of SERS obtained from each dye upon conjugate hybridisation with a complementary single stranded piece of DNA was explored. Differing concentrations of each dye (1000, 3000, 5000 and 7000 equivalents per NP-DNA conjugate) were used to understand the effects of Raman reporter coating on the overall Raman intensity. It was discovered that dye concentration did not affect the target/control ratio, which remained relatively constant throughout and that a lower concentration of Raman reporter was favourable in order to avoid NP instability. A relationship between the dye structure and SERS intensity was discovered, leaving scope for future development of specific dyes containing substituents favourable for discrimination in a multiplex by SERS. Methine dyes containing S and Se in the backbone and at least 2 phenyls as substituents give the highest SERS signal following DNA-induced aggregation. Principal component analysis (PCA) was performed on the data to show differentiation between the dye classes and highlight possible future multiplexing capabilities of the 12 investigated dyes

    Bayesian Neural Networks for Geothermal Resource Assessment: Prediction with Uncertainty

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    We consider the application of machine learning to the evaluation of geothermal resource potential. A supervised learning problem is defined where maps of 10 geological and geophysical features within the state of Nevada, USA are used to define geothermal potential across a broad region. We have available a relatively small set of positive training sites (known resources or active power plants) and negative training sites (known drill sites with unsuitable geothermal conditions) and use these to constrain and optimize artificial neural networks for this classification task. The main objective is to predict the geothermal resource potential at unknown sites within a large geographic area where the defining features are known. These predictions could be used to target promising areas for further detailed investigations. We describe the evolution of our work from defining a specific neural network architecture to training and optimization trials. Upon analysis we expose the inevitable problems of model variability and resulting prediction uncertainty. Finally, to address these problems we apply the concept of Bayesian neural networks, a heuristic approach to regularization in network training, and make use of the practical interpretation of the formal uncertainty measures they provide.Comment: 27 pages, 12 figure

    Detection of potentially toxic metals by SERS using salen complexes

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    Surfaced enhanced Raman scattering (SERS) can discriminate between metal complexes due to the characteristic ā€œspectral fingerprintsā€ obtained. As a result, SERS has the potential to develop relatively simple and sensitive methods of detecting and quantifying a range of metal ions in solution. This could be beneficial for the environmental monitoring of potentially toxic metals (PTMs). Here, salen (C16H16N2O2) was used as a ligand to form complexes of Ni(II), Cu(II), Mn(II) and Co(II) in solution. The SERS spectra showed characteristic spectral differences specific to each metal complex, thus allowing the identification of each of these metal ions. This method allows a number of metal ions to be detected using the same ligand and an identical preparation procedure. The limit of detection (LOD) was determined for each metal ion, and it was found that Ni(II), Cu(II) and Mn(II) could be detected below the WHOā€™s recommended limits in drinking water at 1, 2 and 2 Āµg L-1, respectively. Co(II) was found to have an LOD of 20 Āµg L-1, however no limit has been set for this ion by the WHO as the concentration of Co(II) in drinking water is generally <1-2 Ī¼g L-1. A contaminated water sample was also analysed where Mn(II) was detected at a level of 800 Āµg L-1

    Surface design for immobilization of an antimicrobial peptide mimic for efficient antiā€biofouling

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    Microbial surface attachment negatively impacts a wide range of devices from water purification membranes to biomedical implants. Mimics of antimicrobial peptides (AMPs) constituted from poly(Nā€substituted glycine) "peptoids" are of great interest as they resist proteolysis and can inhibit a wide spectrum of microbes. We investigate how terminal modification of a peptoid AMPā€mimic and its surface immobilization affect antimicrobial activity. We also demonstrate a convenient surface modification scheme for enabling alkyneā€azide "click" coupling on aminoā€functionalized surfaces. Our results verified that the Nā€ and Cā€terminal peptoid structures are not required for antimicrobial activity. Moreover, our peptoid immobilization density and choice of PEG tether resulted in a "volumetric" spatial separation between AMPs that, compared to past studies, enabled the highest AMP surface activity relative to bacterial attachment. Our analysis suggests the importance of spatial flexibility for membrane activity and that AMP separation may be a controlling parameter for optimizing surface antiā€biofouling
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