251 research outputs found
Food safety news events classification via a hierarchical transformer model
In light of the significance of regulatory authorities and the rising demand for information disclosure, a vast amount of information on food safety news reports is readily accessible on the Internet. The extraction of such information for precise classification and provision of appropriate safety alerts based on their respective categories has emerged as a challenging problem for academic research. Given that most food safety-related events in news reports comprise lengthy text, the pre-trained language models currently employed for text analysis are generally limited in their capability to handle long documents. This paper proposes a long-text classification model utilising hierarchical Transformers. We categorise information in long documents into two distinct types: (1) multiple text chunks meeting the length constraint and (2) essential sentences within long documents, such as headings, paragraph start and end sentences, etc. Initially, our proposed model utilises the text chunks as input to the BERT model. Then, it concatenates the output of the BERT model with the important sentences from the document and use them as input to the Transformer model for feature transformation. Finally, we utilise a classifier for food safety news classification. We conducted several comparative experiments with various commonly used text classification models on a dataset constructed from publicly available information on food regulatory websites. Our proposed method outperforms existing methods, establishing itself as the leading approach in terms of performance. [Abstract copyright: © 2023 The Author(s).
Innovative Purification Protocol for Heparin Binding Proteins: Relevance in Biopharmaceutical and Biomedical Applications
Heparin binding (HB) proteins mediates a wide range of important cellular processes, which makes this class of proteins biopharmaceutically important. Engineering HB proteins could bring many advantages, but it necessitates cost effective and efficient purification methodologies compared to the currently available methods. One of the most important classes of heparin binding protein is the fibroblast growth factors (FGFs) and its receptors (FGFRs). In this study, we report an efficient off-column purification of FGF-1 from soluble fractions and purification of the D2 domain of FGFR from insoluble inclusion bodies, using a weak amberlite cation (IRC) exchanger. This approach is an alternative to conventional affinity column chromatography, which exhibit several disadvantages, including time-consuming experimental procedures and regeneration and results in high cost for production of recombinant proteins. Authenticity of the purified proteins was verified by SDS-PAGE and MALDI mass spectrum analysis. Results of the heparin binding chromatography and steady state fluorescence experiments showed that the FGF-1 and the D2 are in a native biologically active conformation. The findings of this study will not only aid an in-depth investigation of this class of proteins but will also provide avenues for inexpensive and efficient purification of other important biological macromolecules
Alcohol based surgical prep solution and the risk of fire in the operating room: a case report
Abstract A few cases of fire in the operating room are reported in the literature. The factors that may initiate these fires are many and include alcohol based surgical prep solutions, electrosurgical equipment, flammable drapes etc. We are reporting a case of fire in the operating room while operating on a patient with burst fracture C6 vertebra with quadriplegia. The cause of the fire was due to incomplete drying of the covering drapes with an alcohol based surgical prep solution. This paper discusses potential preventive measures to minimize the incidence of fire in the operating room.</p
Recent advances of chitosan composites in artificial skin: the next era for potential biomedical application
The effect of fracture-related factors on the functional outcome at 1 year in distal radius fractures
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