title: Quantitative mineral mapping of drill core surfaces II: long-wave infrared mineral characterization using μXRF and machine learning

authors: Barker, Rocky D.

subjects: computer science

abstract: Long-wave infrared (LWIR) spectra can be interpreted using a Random Forest machine learning approach to predict mineral species and abundances. In this study, hydrothermally altered carbonate rock core samples from the Fourmile Carlin-type Au discovery, Nevada, were analyzed by LWIR and micro-X-ray fluorescence (μXRF). Linear programming-derived mineral abundances from quantified μXRF data were used as training data to construct a series of Random Forest regression models. The LWIR Random Forest models produced mineral proportion estimates with root mean square errors of 1.17 to 6.75% (model predictions) and 1.06 to 6.19% (compared to quantitative X-ray diffraction data) for calcite, dolomite, kaolinite, white mica, phlogopite, K-feldspar, and quartz. These results are comparable to the error of proportion estimates from linear spectral deconvolution (±7–15%), a commonly used spectral unmixing technique. Having a mineralogical and chemical training data set makes it possible to identify and quantify mineralogy and provides a more robust and meaningful LWIR spectral interpretation than current methods of utilizing a spectral library or spectral end-member extraction. Using the method presented here, LWIR spectroscopy can be used to overcome the limitations inherent with the use of short-wave infrared (SWIR) in fine-grained, low reflectance rocks. This new approach can be applied to any deposit type, improving the accuracy and speed of infrared data interpretation.

text: Quantitative mineral mapping of drill core surfaces II: long-wave infrared mineral characterization using μXRF and machine learning Long-wave infrared (LWIR) spectra can be interpreted using a Random Forest machine learning approach to predict mineral species and abundances. In this study, hydrothermally altered carbonate rock core samples from the Fourmile Carlin-type Au discovery, Nevada, were analyzed by LWIR and micro-X-ray fluorescence (μXRF). Linear programming-derived mineral abundances from quantified μXRF data were used as training data to construct a series of Random Forest regression models. The LWIR Random Forest models produced mineral proportion estimates with root mean square errors of 1.17 to 6.75% (model predictions) and 1.06 to 6.19% (compared to quantitative X-ray diffraction data) for calcite, dolomite, kaolinite, white mica, phlogopite, K-feldspar, and quartz. These results are comparable to the error of proportion estimates from linear spectral deconvolution (±7–15%), a commonly used spectral unmixing technique. Having a mineralogical and chemical training data set makes it possible to identify and quantify mineralogy and provides a more robust and meaningful LWIR spectral interpretation than current methods of utilizing a spectral library or spectral end-member extraction. Using the method presented here, LWIR spectroscopy can be used to overcome the limitations inherent with the use of short-wave infrared (SWIR) in fine-grained, low reflectance rocks. This new approach can be applied to any deposit type, improving the accuracy and speed of infrared data interpretation.

year: 2020

title: A Surgical implant conductor with increased radio frequency alternating current resistance

authors: Scott, Jonathan B.

abstract: In one aspect the invention provides a surgical implant conductor formed from a length of conductive material which exhibits increased radio frequency alternating current resistance. This conductive material defines an exterior surface where at least a portion of the exterior surface of the conductor defines a region with a roughened surface. Preferably the roughening of the exterior surface increases the area of the exterior surface when compared to a non-roughened surface, resulting in a reduction in the effective cross-section area of the conductor used to transport alternating currents.

text: A Surgical implant conductor with increased radio frequency alternating current resistance In one aspect the invention provides a surgical implant conductor formed from a length of conductive material which exhibits increased radio frequency alternating current resistance. This conductive material defines an exterior surface where at least a portion of the exterior surface of the conductor defines a region with a roughened surface. Preferably the roughening of the exterior surface increases the area of the exterior surface when compared to a non-roughened surface, resulting in a reduction in the effective cross-section area of the conductor used to transport alternating currents.

year: 2016

title: Time to Diagnosis and Persistence: The Two Major Determinants of Effective Tuberculosis Control

authors: Ruthe, Alaine Tess

subjects: tuberculosis

abstract: The greatest challenge confronting effective tuberculosis (TB) eradication is the time to diagnosis, and duration of treatment of chronically infected individuals which represent a pool of infection. In an attempt to help limit the spread of TB in New Zealand, a fast SNP based diagnostic test was developed, to quickly identify the highly transmissible and virulent endemic Rangipo strain. The role of VapBC toxin-antitoxin systems in M. tuberculosis has been the subject of great interest recently, due to their expanded number in the genome and links with virulence and the regulation of cell growth in response to environmental stress. Their ability to regulate growth under adverse conditions for presumed survival advantages possibly leading to dormancy or persistence, make them ideal candidates for the development of new M. tuberculosis treatments. To establish differential expression of vapC, and therefore identify possible pathways and functions of the VapBC proteins, RT-qPCR was used to assess the expression levels of vapB and vapC in M. smegmatis under conditions of stress. No consistant changes in vapC mRNA levels were observed, resulting in the hypothesis that it is not the transcriptional differences which are important in the regulation of VapC, but post-transcriptional factors. In order to investigate the function(s) of M. tuberculosis VapBCs, these VapBC proteins were expressed and purified in M. smegmatis, and the VapC toxin tested for RNase activity. The purification, expression, RNase testing and bioinformatic analysis of M. tuberculosis VapCs suggested that VapCRv2530c, VapCRv0065 and VapCRv0617 may all target the same recognition sequence, UA*GG. Bioinformatic analysis revealed an abundance of this target sequence in horizontal gene transfer and TA genes, raising the possibility that VapC toxins could be functioning as selfish elements, or initiating transcriptional regulation cascades when a rapid change in the proteomic response and metabolic state of the cell is required. It is intriguing that the three M. tuberculosis VapC proteins tested thus far appear to target the same recognition sequence, possibly suggesting that all 47 VapCs are RNases and are targeting the same sequence. Alternatively; VapCs may belong to sub-groups targeting different sequences, allowing M. tuberculosis to exude both gross and fine metabolic control; or, they may share the same target, but are regulated by different activators triggered in response to different environmental stimuli.

text: Time to Diagnosis and Persistence: The Two Major Determinants of Effective Tuberculosis Control The greatest challenge confronting effective tuberculosis (TB) eradication is the time to diagnosis, and duration of treatment of chronically infected individuals which represent a pool of infection. In an attempt to help limit the spread of TB in New Zealand, a fast SNP based diagnostic test was developed, to quickly identify the highly transmissible and virulent endemic Rangipo strain. The role of VapBC toxin-antitoxin systems in M. tuberculosis has been the subject of great interest recently, due to their expanded number in the genome and links with virulence and the regulation of cell growth in response to environmental stress. Their ability to regulate growth under adverse conditions for presumed survival advantages possibly leading to dormancy or persistence, make them ideal candidates for the development of new M. tuberculosis treatments. To establish differential expression of vapC, and therefore identify possible pathways and functions of the VapBC proteins, RT-qPCR was used to assess the expression levels of vapB and vapC in M. smegmatis under conditions of stress. No consistant changes in vapC mRNA levels were observed, resulting in the hypothesis that it is not the transcriptional differences which are important in the regulation of VapC, but post-transcriptional factors. In order to investigate the function(s) of M. tuberculosis VapBCs, these VapBC proteins were expressed and purified in M. smegmatis, and the VapC toxin tested for RNase activity. The purification, expression, RNase testing and bioinformatic analysis of M. tuberculosis VapCs suggested that VapCRv2530c, VapCRv0065 and VapCRv0617 may all target the same recognition sequence, UA*GG. Bioinformatic analysis revealed an abundance of this target sequence in horizontal gene transfer and TA genes, raising the possibility that VapC toxins could be functioning as selfish elements, or initiating transcriptional regulation cascades when a rapid change in the proteomic response and metabolic state of the cell is required. It is intriguing that the three M. tuberculosis VapC proteins tested thus far appear to target the same recognition sequence, possibly suggesting that all 47 VapCs are RNases and are targeting the same sequence. Alternatively; VapCs may belong to sub-groups targeting different sequences, allowing M. tuberculosis to exude both gross and fine metabolic control; or, they may share the same target, but are regulated by different activators triggered in response to different environmental stimuli.

year: 2015