Results 41 to 50 of about 3,469 (186)

Cellular Morphometric Analysis (CellMorph)—a comprehensive imaging‐based tool for quantifying cellular phenotype heterogeneity and dynamics across biological processes

The FEBS Journal, EarlyView.
CellMorph is a groundbreaking tool that allows researchers to analyze multiple features from single cells, including cell size and shape, cytosolic staining and subcellular texture, nuclear staining, and morphometry. By evaluating images from both bright‐field and fluorescence microscopy, it also tracks changes in living cells during key processes such
Henrique Quaiato de Oliveira, Solon Andrades da Rosa, Luiza Cherobini Pereira, Laura Boose de Mendonça, Juliete Scholl, Fabrício Figueiró, Thais Cardoso Bitencourt, Davi Piovesan Echevarria, João Luiz Aldinucci Buzzo, Jessica Boschini D'Agostin, Danieli Rosane Dallemole, Carolina Oliveira, Fernanda Simas, Fernanda Saez‐Calazans, Débora Santos‐Sousa, Guido Lenz, Eduardo C. Filippi‐Chiela   +16 more
wiley   +1 more source

A CLUSTERING TECHNIQUE FOR THE VIETNAMESE WORD CATEGORIZATION

Tạp chí Khoa học Đại học Đà Lạt, 2016
In natural language processing, part-of-speech (POS) tagging plays an important role, as its output is the input of many other tasks (syntax analysis, semantic analysis. . . ). One of the problems related to POS tagging is to define the POS set.
Nguyễn Minh Hiệp, Nguyễn Thị Minh Huyền, Ngô Thế Quyền, Trần Thị Phương Linh   +3 more
doaj   +1 more source

A lipid‐sensitive food choice behavior influences aging outcomes from a longevity‐promoting diet

The FEBS Journal, EarlyView.
C. elegans are exposed to a variety of bacteria in their natural environment and must be able to distinguish between beneficial and detrimental food sources. We show that C. elegans exposed to the bacterium from their natural habitat, Methylobacterium, disrupts lipid homeostasis, causing worms to avoid this bacterial species and choose the laboratory ...
Nicole L. Stuhr, Carmen M. Ramos, Chris D. Turner, Alexander A. Soukas, Sean P. Curran   +4 more
wiley   +1 more source

A POS Tagging Model Adapted to Learner English [PDF]

Proceedings of the 2018 EMNLP Workshop W-NUT: The 4th Workshop on Noisy User-generated Text, 2018
There has been very limited work on the adaptation of Part-Of-Speech (POS) tagging to learner English despite the fact that POS tagging is widely used in related tasks. In this paper, we explore how we can adapt POS tagging to learner English efficiently and effectively.
Ryo Nagata, Tomoya Mizumoto, Yuta Kikuchi, Yoshifumi Kawasaki, Kotaro Funakoshi   +4 more
openaire   +1 more source

Parts-of-speech tagger for Sindhi language using deep neural network architecture

Mehran University Research Journal of Engineering and Technology
Language is a fundamental medium for human communication, encompassing spoken and written forms, each governed by grammatical rules. Sindhi, one of the oldest languages, is characterized by its rich morphology and grammatical structure.
Adnan Ali Memon, Saman Hina, Abdul Karim Kazi, Saad Ahmed   +3 more
doaj   +1 more source

The Emotional Valence Paradox in Social media: A Computational Linguistic Analysis of How Sentiment, Emotion, and Content Domain Predict Social Comparisons on Rednote

International Journal of Applied Linguistics, EarlyView.
ABSTRACT This computational linguistic study analyzes 8743 Rednote posts to examine how sentiment, emotion, and content domain collectively shape social comparison dynamics on social media. We identify four key findings: (1) an emotional gradient, where upward comparison content exhibits the highest sentiment scores and downward comparison the lowest; (
Michelle Mingyue Gu, Shuting Zhang, Yue Zhang, Hua Zhao, Jiapei Gu, Jincheng Ding, Xiaofei Lu, Chetwyn Che‐hin Chan   +7 more
wiley   +1 more source

POS Tagging for the Endangered Dagur Language

Proceedings of the Language Resources and Evaluation Conference
The application of natural language processing tools opens new ways for the documentation and revitalization of under-resourced languages. In this article we aim to investigate the feasibility of automatic part-of-speech (POS) tagging for Dagur, which is an endangered Mongolic language spoken mainly in northeast China, with no official written standard
Dolińska, Joanna, Bernhard, Delphine
openaire   +3 more sources

A deep learning model incorporating part of speech and self-matching attention for named entity recognition of Chinese electronic medical records

BMC Medical Informatics and Decision Making, 2019
Background The Named Entity Recognition (NER) task as a key step in the extraction of health information, has encountered many challenges in Chinese Electronic Medical Records (EMRs). Firstly, the casual use of Chinese abbreviations and doctors’ personal
Xiaoling Cai, Shoubin Dong, Jinlong Hu
doaj   +1 more source

A new catfish species of Microcambeva Costa & Bockmann, 1994 (Siluriformes: Trichomycteridae) from southern Brazil, with a redescription of M. ribeirae Costa, Lima & Bizerril, 2004

Journal of Fish Biology, EarlyView.
Abstract Among the few species of Microcambeva reported as occurring in more than one hydrographic basin, M. ribeirae has been previously listed from both the Ribeira de Iguape and the Guaraqueçaba basins. However, morphological and molecular analyses revealed that the specimens from Guaraqueçaba represent a new species, which is described in this ...
Lucas S. de Medeiros, Igor C. A. Souto‐Santos, Paulo A. Buckup, Juliano Ferrer, Vinicius J. C. Reis, Mario de Pinna, Sergio M. Q. Lima   +6 more
wiley   +1 more source

Modeling of learning curves with applications to POS tagging

Computer Speech & Language, 2017
30 pages, 11 ...
Vilares Ferro, Manuel, Darriba Bilbao, Víctor Manuel, Ribadas Pena, Francisco José   +2 more
openaire   +3 more sources