metadata
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
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.