Results 91 to 100 of about 101,957 (293)

Mycobacterial cell division arrest and smooth‐to‐rough envelope transition using CRISPRi‐mediated genetic repression systems

FEBS Open Bio, EarlyView.
CRISPRI‐mediated gene silencing and phenotypic exploration in nontuberculous mycobacteria. In this Research Protocol, we describe approaches to control, monitor, and quantitatively assess CRISPRI‐mediated gene silencing in M. smegmatis and M. abscessus model organisms.
Vanessa Point, Wafaa Achache, Janïs Laudouze, Eliana Sepulveda Ramos, Mickaël Maziero, Céline Crauste, Stéphane Canaan, Pierre Santucci   +7 more
wiley   +1 more source

Dataset Construction via Attention for Aspect Term Extraction with Distant Supervision [PDF]

, 2017
Athanasios Giannakopoulos, Diego Antognini, Claudiu Musat, Theus Hossmann, Michael Baeriswyl   +4 more
openalex   +2 more sources

dUTPase is essential in zebrafish development and possesses several single‐nucleotide variants with pronounced structural and functional consequences

FEBS Open Bio, EarlyView.
dUTPases are involved in balancing the appropriate nucleotide pools. We showed that dUTPase is essential for normal development in zebrafish. The different zebrafish genomes contain several single‐nucleotide variations (SNPs) of the dut gene. One of the dUTPase variants displayed drastically lower protein stability and catalytic efficiency as compared ...
Viktória Perey‐Simon, Angéla Békesi, Latifa Kazzazy, Jázmin Mihály, Máté Varga, Beáta G. Vértessy, Kinga Nyíri   +6 more
wiley   +1 more source

Self-adaptive attention fusion for multimodal aspect-based sentiment analysis

Mathematical Biosciences and Engineering
Multimodal aspect term extraction (MATE) and multimodal aspect-oriented sentiment classification (MASC) are two crucial subtasks in multimodal sentiment analysis.
Ziyue Wang, Junjun Guo
doaj   +1 more source

Multi-task learning based on question–answering style reviews for aspect category classification and aspect term extraction on GPU clusters [PDF]

, 2020
Hanqian Wu, Siliang Cheng, Zhike Wang, Shangbin Zhang, Feng Yuan   +4 more
openalex   +1 more source

Understanding bio‐based polymers: A study of origins, properties, biodegradation and their impact on health and the environment

FEBS Open Bio, EarlyView.
This review provides an overview of bio‐based polymer sources, their unique functional properties and their environmental impact, and addresses their role as sustainable alternatives. It discusses end‐of‐life options, including composting and anaerobic digestion for renewable energy.
Sabina Kolbl Repinc, Blaž Stres, Mirica Karlovits, Igor Karlovits, Petra Jerič, Ondrej Panák, Anja Verbič, Blaž Likozar, Uroš Novak   +8 more
wiley   +1 more source

Unsupervised Aspect Term Extraction with B-LSTM & CRF using Automatically Labelled Datasets [PDF]

, 2017
Athanasios Giannakopoulos, Claudiu Musat, Theus Hossmann, Michael Baeriswyl   +3 more
openalex   +2 more sources

Enhancing Arabic aspect category detection using large language models (LLMs)

Results in Engineering
Large language models (LLMs) have revolutionized the world of natural language processing (NLP) by breaking through a variety of tasks, such as text generation, translation, and text summarization. In this study, we tackle aspect-based sentiment analysis
Lachhab Youssef, Ziyati Elhoussaine, Naim Soufiane, Moumkine Noureddine   +3 more
doaj   +1 more source

Predicting and Comparing the Subjective Health Experience of Older Cancer Survivors and Non‐Cancer Survivors: A Modeling Approach

Aging and Cancer, EarlyView.
This study underscores the significant influence of frailty and vitality on the subjective health experience of older cancer survivors with acceptance and control emerging as salient mediators. These findings affirm the conceptual and empirical robustness of the model highlighting its potential utility in shaping future interventions for older cancer ...
Damien S. E. Broekharst, Sjaak Bloem, Eline J. Mertens, Nathascha Hanzen, Michel van Agthoven   +4 more
wiley   +1 more source

A syntactic features and interactive learning model for aspect-based sentiment analysis

Complex & Intelligent Systems
The aspect-based sentiment analysis (ABSA) consists of two subtasks: aspect term extraction (AE) and aspect term sentiment classification (ASC). Previous research on the AE task has not adequately leveraged syntactic information and has overlooked the ...
Wang Zou, Wubo Zhang, Zhuofeng Tian, Wenhuan Wu   +3 more
doaj   +1 more source