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The US Arctic Ocean presents almost a perfect storm of risks – a requirement for a long-term capital-intensive investment for uncertain return, a remote and uniquely challenging operating environment, ongoing court challenges, a lack of extraction and spill response infrastructure, and the spotlight of the world's environmental organisations, the US political community and international media.
The noninvasive collection method and the lack of extraction procedures predispose biomarkers, measured in saliva, as potential surrogate markers of disease and disease activity [ 25, 32].
The lack of extraction efficiency for polar compounds can be overcome through the addition of modifiers or cosolvents to the pure CO2, with water and methanol being the most commonly used solvent modifiers.
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Particularly, the lack of effective extraction methods is thoroughly discussed regarding the identification of most relevant research gaps preventing an effective assessment of the availability, mobility and risks of exposure of sensitive receptors to ENPs in soils.
The lack of surface extraction may put greater pressure on underground mining.
Despite 2,973 samples being collected, only 1,075 samples were used, mainly due to a lack of featured extraction techniques and a lack of data quality control.
These inconsistencies may be due to the lack of standardized extraction / fractionation protocols and the possible presence of many anti-inflammatory mediators in Perna canaliculus.
Only a few studies have reported cases of culture positive/PCR negative samples and most of these were earlier papers with interpretation of results complicated by the following factors: unequal sample splitting, lack of DNA extraction procedures, inhibited PCR reactions and/or lack of sensitive product detection methods.
The conventional extraction technique, i.e., Soxhlet extraction, was also carried out, but the lack of quantitative extractions led us to use a more effective approach: hot Soxhlet.
Furthermore, INMA samples were extracted in borate buffered saline (BBS) for earlier analysis of house dust mite allergens, which is not the standard extraction fluid used for endotoxin analyses, additionally the lack of heat-extraction impeded glucan quantification from these samples.
On DCASE2016 dataset, GaussFB-FullLTFB model with random initialization reduces the classification error by relatively 6.5% and reaches the performance of DNN model using CQT features in [51], meaning that the long-term filter banks make up for the lack of feature extractions.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com