Results 111 to 120 of about 177,864 (288)

Research on Medical Text Parsing Method Based on BiGRU-BiLSTM Multi-Task Learning

Applied Sciences
With the development of technology, the popularity of online medical treatment is becoming more and more widespread. However, the accuracy and credibility of online medical treatment are affected by model design and semantic understanding. In particular,
Yunli Fan, Ruiqing Kang, Wenjie Huang, Lingyan Li   +3 more
doaj   +1 more source

‘Turkeys Cannot Vote for Christmas’: Why Epistemic Disobedience in an Anti‐Black World Matters

Australian Journal of Social Issues, EarlyView.
ABSTRACT Never in the history of global coloniality has the idea of epistemic disobedience been as important as in the 21st century. This is not only because the struggle for decolonisation has shifted from physical confrontation between the coloniser and the colonised into a battle of ideas but also because the former has deployed the idea of ...
Morgan Ndlovu
wiley   +1 more source

Sitting in Many Camps—Innovative Approaches and Methods for First Nations‐Led Research Into Indigenous Peacebuilding

Australian Journal of Social Issues, EarlyView.
ABSTRACT In 2021, a desktop review was conducted of published references to First Nations peoples' approaches to conflict and its management in Australia (Project Stage One), culminating in a report published in 2024. This article focuses on Project Stage Two, a complex, innovative research undertaking building on the findings of Stage One, and being ...
Helen Bishop, Alysoun Boyle, Tania Sourdin, Bin Li   +3 more
wiley   +1 more source

Implementing Indigenous Data Sovereignty in Australia: A Five‐Phase Framework for Indigenous Data Governance

Australian Journal of Social Issues, EarlyView.
ABSTRACT This article presents the development of a five‐phase Indigenous Data Governance (IDGov) Framework in Australia, focusing on partnerships between the Aboriginal Community Controlled Health Organisation (ACCHO) sector and non‐Indigenous health entities.
Jacob Prehn, Michael A. Guerzoni, Maggie Walter, Gawaian Bodkin‐Andrews, Bobby Maher   +4 more
wiley   +1 more source

Uncovering Cystic Fibrosis Carrier: Insights From a Heterozygous CFTR‐F508del Rabbit Model

International Forum of Allergy &Rhinology, EarlyView.
ABSTRACT Background Chronic rhinosinusitis (CRS) is a heterogeneous inflammatory disorder frequently associated with impaired mucociliary clearance and bacterial infection. Individuals carrying a single cystic fibrosis transmembrane conductance regulator (CFTR) mutation exhibit partial CFTR dysfunction and are increasingly recognized as being at risk ...
Do‐Yeon Cho, Alexis E. McFeely, Daniel Skinner, Shaoyan Zhang, Justin Hedvat, Weslee Ping‐ay, Daniel M. Beswick, Justin H. Turner, Bradford A. Woodworth, Jie Xu   +9 more
wiley   +1 more source

Few-Shot Named Entity Recognition Based on the Collaborative Graph Attention Network

IEEE Access
Few-shot Named Entity Recognition (NER) aims to extract entity information from limited annotated samples, addressing the scarcity of data in specialized domains.
Haoran Niu, Zhaoman Zhong
doaj   +1 more source

Applying a deep learning-based sequence labeling approach to detect attributes of medical concepts in clinical text

BMC Medical Informatics and Decision Making, 2019
Background To detect attributes of medical concepts in clinical text, a traditional method often consists of two steps: named entity recognition of attributes and then relation classification between medical concepts and attributes.
Jun Xu, Zhiheng Li, Qiang Wei, Yonghui Wu, Yang Xiang, Hee-Jin Lee, Yaoyun Zhang, Stephen Wu, Hua Xu   +8 more
doaj   +1 more source

Work Versus Force: Simultaneous Processes for Describing Interactions

Advanced Physics Research, EarlyView.
ABSTRACT Achieving a unified description of interactions remains an open challenge in theoretical physics, which currently describes four fundamental forces. This situation may be viewed differently when interactions are formulated in terms of processes (work as actio) rather than forces (force as actio), not only at the macroscopic level but also at ...
Grit Kalies, Duong D. Do, Cornelia Breitkopf   +2 more
wiley   +1 more source

Towards automated recipe genre classification using semi-supervised learning.

PLoS ONE
Sharing cooking recipes is a great way to exchange culinary ideas and provide instructions for food preparation. However, categorizing raw recipes found online into appropriate food genres can be challenging due to a lack of adequate labeled data.
Nazmus Sakib, G M Shahariar, Md Mohsinul Kabir, Md Kamrul Hasan, Hasan Mahmud   +4 more
doaj   +1 more source

Advancing Few-Shot Named Entity Recognition with Large Language Model

Applied Sciences
Few-shot named entity recognition (NER) involves identifying specific entities using limited data. Metric learning-based methods, which compute token-level similarities between query and support sets to identify target entities, have demonstrated ...
Yuhui Xiao, Jianjian Zou, Qun Yang
doaj   +1 more source