Results 51 to 60 of about 110,262 (250)

Deep Learning Model for Fine-Grained Aspect-Based Opinion Mining

IEEE Access, 2020
Despite the great manufactures' efforts to achieve customer satisfaction and improve their performance, social media opinion mining is still on the fly a big challenge.
Ahmed R. Abas, Ibrahim El-Henawy, Hossam Mohamed, Amr Abdellatif   +3 more
doaj   +1 more source

Impact of preservation method and storage period on ribosomal metabarcoding of marine microbes: Implications for remote automated samplings

Frontiers in Microbiology, 2022
Automated sampling technologies can enhance the temporal and spatial resolution of marine microbial observations, particularly in remote and inaccessible areas.
Matthias Wietz, Matthias Wietz, Katja Metfies, Katja Metfies, Christina Bienhold, Christina Bienhold, Christian Wolf, Felix Janssen, Felix Janssen, Ian Salter, Ian Salter, Antje Boetius, Antje Boetius, Antje Boetius   +13 more
doaj   +1 more source

PARK(ing) time–How park deficiency affects the biological clock in a Drosophila model of Parkinson's disease

FEBS Letters, EarlyView.
Drosophila park mutants serve as a model for Parkinson's disease. We used this strain to investigate the connection between oxidative stress and the circadian clock mechanism. We showed that increased oxidative stress affects the physiology of pacemaker cells, disrupting their daily structural plasticity. Lack of rhythmic signaling from pacemaker cells
Kamila Zientara, Kinga Skoczek, Elzbieta Pyza, Milena Damulewicz   +3 more
wiley   +1 more source

Domain adaptive English aspect word extraction method based on bidirectional long and short-term memory network and multi-head attention mechanism

Journal of Applied Science and Engineering
English aspect word extraction is a core task of aspect level sentiment analysis. With the continuous development of social networks, more users tend to make decisions based on comment text, and pay more attention to the details of comment text ...
Tianxiao Wang
doaj   +1 more source

Unsupervised Word and Dependency Path Embeddings for Aspect Term Extraction

CoRR, 2016
IJCAI ...
Yichun Yin, Furu Wei, Li Dong 0004, Kaimeng Xu, Ming Zhang 0004, Ming Zhou 0001   +5 more
openaire   +3 more sources

Modelling stem cell differentiation related processes—A practical overview for biologists

FEBS Letters, EarlyView.
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar, Xinqi Yan, Lucas F. Jansen Klomp, Stefano Schivo, Janine N. Post   +4 more
wiley   +1 more source

Adaptation strategies and collective dynamics of extraction in networked commons of bistable resources

Scientific Reports, 2021
When populations share common-pool resources (CPRs), individuals decide how much effort to invest towards resource extraction and how to allocate this effort among available resources.
Andrew Schauf, Poong Oh
doaj   +1 more source

Reconstructing enzyme evolution by protein engineering

FEBS Letters, EarlyView.
Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler, Markus R. Busch, Reinhard Sterner   +2 more
wiley   +1 more source

Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment

Molecular Oncology, EarlyView.
This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley   +1 more source

Aspect-Based Sentiment Analysis Through Graph Convolutional Networks and Joint Task Learning

Information
Aspect-based sentiment analysis (ABSA) through joint task learning aims to simultaneously identify aspect terms and predict their sentiment polarities. However, existing methods face two major challenges: (1) Most existing studies focus on the sentiment ...
Hongyu Han, Shengjie Wang, Baojun Qiao, Lanxue Dang, Xiaomei Zou, Hui Xue, Yingqi Wang   +6 more
doaj   +1 more source