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--- |
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license: apache-2.0 |
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language: |
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- en |
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widget: |
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- text: >- |
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The aim of this study was to determine the relationship between the |
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oxidative and reductive metabolic pathways of acrylamide (AA) in the |
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nonsmoking general population. For the first time both the blood protein |
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adducts and the urinary metabolites of AA and glycidamide (GA) were |
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quantified in an especially designed study group with even distribution of |
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age and gender. The hemoglobin adducts N-carbamoylethylvaline (AAVal) and |
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N-(R,S)-2-hydroxy-2-carbamoylethylvaline (GAVal) were detected by GC-MS/MS |
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in all blood samples with median levels of 30 and 34 pmol/g of globin, |
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respectively. Concentrations ranged from 15 to 71 pmol/g of globin for AAVal |
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and from 14 to 66 pmol/g of globin for GAVal. The ratio GAVal/AAVal was |
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0.4-2.7 (median = 1.1). |
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- text: >- |
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Adsorption processes are responsible for detection of cancer biomarkers in |
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biosensors (and immunosensors), which can be captured with various |
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principles of detection. In this study, we used a biosensor made with |
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nanostructured films of polypyrrole and p53 antibodies, and image analysis |
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of scanning electron microscopy data made it possible to correlate |
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morphological changes of the biosensor with the concentration of cells |
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containing the cancer biomarker p53. The selectivity of the biosensor was |
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proven by distinguishing images obtained with exposure of the biosensor to |
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cells containing the biomarker from those acquired with cells that did not |
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contain it. Detection was confirmed with cyclic voltammetry measurements, |
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while the adsorption of the p53 biomarker was probed with |
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polarization-modulated infrared reflection absorption (PM-IRRAS) and a |
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quartz crystal microbalance (QCM). Adsorption is described using the |
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Langmuir-Freundlich model, with saturation taking place at a concentration |
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of 100 Ucells/mL. Taken together, our results point to novel ways to detect |
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biomarkers or any type of analyte for which detection is based on adsorption |
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as is the case of the majority of biosensors. |
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- text: >- |
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Printed carbon graphite materials are the primary common component in the |
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majority of screen printed sensors. Screen printing allows a scalable |
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manufacturing solution, accelerating the means by which novel sensing |
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materials can make the transition from laboratory material to commercial |
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product. A common bottleneck in any thick film printing process is the |
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controlled drying of the carbon paste material. A study has been undertaken |
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which examines the interaction between material solvent, printed film |
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conductivity and process consistency. The study illustrates that it is |
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possible to reduce the solvent boiling point to significantly increase |
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process productivity while maintaining process consistency. The lower |
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boiling point solvent also has a beneficial effect on the conductivity of |
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the film, reducing the sheet resistance. It is proposed that this is a |
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result of greater film stressing increasing charge percolation through |
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greater inter particle contact. Simulations of material performance and |
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drying illustrate that a multi layered printing provides a more time |
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efficient manufacturing method. The findings have implications for the |
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volume manufacturing of the carbon sensor electrodes but also have |
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implications for other applications where conductive carbon is used, such as |
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electrical circuits and photovoltaic devices. |
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- text: >- |
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Commercial refrigeration systems applying R744 as the only refrigerant still |
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have a large potential in development regarding energy efficiency, heat |
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recovery and cost efficiency. Special focus and emphasis has to be given to |
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the system architecture with respect to increase the system efficiency when |
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these units are operated at elevated ambient temperatures. The objective of |
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this thorough theoretical study is to investigate the energy required for |
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different R744 refrigeration systems at 25-50-75-100% cooling load |
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conditions. All R744 system configurations are assumed to operate at high |
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ambient temperatures (from 30 to 42 degrees C) which mean only transcritical |
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operations are considered for the following system configurations. Some |
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alternatives are sustainable and viable competitors to conventional HFC |
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supermarket refrigeration systems, up to now applied in warm climates: |
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Standard booster cycle (baseline) Expander cycle (expander ->electrical |
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generator) R744 booster cycle with a mechanical subcooler (MS) unit: working |
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fluid MS: hydrocarbon Economiser I cycle (with a flash tank, i.e. parallel |
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compression) Economiser II cycle (without a flash tank; i.e. parallel |
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compression) Ejector supported parallel compression system These different |
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cycles are evaluated with advanced spreadsheets assuming realistic component |
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performances. |
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tags: |
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- chemistry |
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- biology |
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- medical |
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pipeline_tag: text-classification |
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datasets: |
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- web_of_science |
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--- |
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# BERT classifier for WOS-46985 |
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<!-- Provide a quick summary of what the model is/does. --> |
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This is a model to classify scientific papers by the Web-of-Science nomenclature. |
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## Model Details |
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### Model Description |
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It's a fine-tuned model to predict the 134 classes from the WOS-46985 model published by https://arxiv.org/pdf/1709.08267.pdf. |
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- **Developed by:** Terran (https://terran.ai/) SciLifeLab Data Center (https://www.scilifelab.se/) and KTH Research Support Office (https://intra.kth.se/en/styrning/kths-organisation/vs/rso). |
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- **License:** Apache 2.0 |
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- **Finetuned from model:** bert-base-uncased |
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## Evaluation |
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10/90 validation/training split (like https://arxiv.org/pdf/1709.08267.pdf) |
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### Results |
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Accuracy on the final layer was 83% (previous state-of-the-art 77% https://arxiv.org/pdf/1709.08267.pdf). However, the previous SOTA did not use test-data set, so the difference is probably more significant. |
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#### Summary |
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Useful model to annotate scientific text. |