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

<!-- Provide a quick summary of what the model is/does. -->

This is a model to classify scientific papers by the  Web-of-Science nomenclature. 

## Model Details

### Model Description

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.


- **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).
- **License:** Apache 2.0
- **Finetuned from model:** bert-base-uncased



## Evaluation

10/90 validation/training split (like https://arxiv.org/pdf/1709.08267.pdf)

### Results

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.

#### Summary

Useful model to annotate scientific text.