Results 81 to 90 of about 318,360 (330)

Cell Calcification Models and Their Implications for Medicine and Biomaterial Research

open access: yesAdvanced Healthcare Materials, EarlyView.
Calcification, is the process by which the tissues containing minerals are formed, occurring during normal physiological processes, or in pathological conditions. Here, it is aimed to give a comprehensive overview of the range of cell models available, and the approaches taken by these models, highlighting when and how methodological divergences arise,
Luke Hunter   +5 more
wiley   +1 more source

Chinese Named Entity Recognition Integrating Positional and Entity Category Information [PDF]

open access: yesJisuanji gongcheng
Words play a crucial role as contextual information in Chinese Named Entity Recognition (NER) tasks. Although character-based methods have achieved some success, existing methods simplistically embed word information and use a limited feature capture ...
YANG Junhui, LI Sujin
doaj   +1 more source

Named Entity Recognition on Turkish Tweets [PDF]

open access: yes, 2013
Various recent studies show that the performance of named entity recognition (NER) systems developed for well-formed text types drops significantly when applied to tweets.
JACQUET GUILLAUME   +2 more
core  

Boosting Named Entity Recognition with Neural Character Embeddings

open access: yes, 2015
Most state-of-the-art named entity recognition (NER) systems rely on handcrafted features and on the output of other NLP tasks such as part-of-speech (POS) tagging and text chunking.
Guimarães, Victor   +1 more
core   +1 more source

Granular Hydrogels as Modular Biomaterials: From Structural Design to Biological Responses

open access: yesAdvanced Healthcare Materials, EarlyView.
Granular hydrogels are now emerging as promising biomaterials due to their inherent microporousity, injectability, and modularity. They have shown improvements in cell viability and migration, cellular/tissue infiltration, host tissue integration, mitigated foreign body response, and tissue regeneration.
Asmasadat Vaziri   +6 more
wiley   +1 more source

Increased Anti‐Psoriatic Effect of Anti‐Inflammatory Dendrimers Using Fluid Catanionic Vesicle‐Based Topical Formulations

open access: yesAdvanced Healthcare Materials, EarlyView.
Next‐Generation Psoriasis Therapy – With advanced dendrimer‐based formulations, this study paves the way for highly effective, skin‐permeable treatments. Encapsulated in fluid catanionic vesicles, IMD‐006 and its analogues show promising anti‐psoriatic effects offering a targeted, non‐invasive approach to managing chronic skin inflammation.
Ranime Jebbawi   +10 more
wiley   +1 more source

MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic Perspective [PDF]

open access: green, 2022
Xiao Wang   +8 more
openalex   +1 more source

Named Entity Recognition Datasets: A Classification Framework

open access: yesInternational Journal of Computational Intelligence Systems
Named entity recognition as a fundamental task plays a crucial role in accomplishing some of the tasks and applications in natural language processing. In the age of Internet information, as far as computer applications are concerned, a huge proportion ...
Ying Zhang, Gang Xiao
doaj   +1 more source

Biomimetic Fibrinogen Nanofiber Scaffolds for Vascular Hematopoietic Stem Cell Niche Engineering

open access: yesAdvanced Healthcare Materials, EarlyView.
This study presents an advanced in vitro model of the vascular hematopoietic stem cell niche using self‐assembled fibrinogen nanofibers, mimicking the basement membrane in bone marrow (BM) sinusoids. The model supports the coculture of microvascular endothelial cells, stromal cells, and hematopoietic stem and progenitor cells, providing insights into ...
Sophia Lena Meermeyer   +4 more
wiley   +1 more source

Optimising Selective Sampling for Bootstrapping Named Entity Recognition [PDF]

open access: yes, 2005
Training a statistical named entity recognition system in a new domain requires costly manual annotation of large quantities of in-domain data. Active learning promises to reduce the annotation cost by selecting only highly informative data points.
Alex, Beatrice   +3 more
core   +1 more source

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