Results 81 to 90 of about 709,306 (283)

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

open access: yesFEBS 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   +7 more
wiley   +1 more source

Attack Named Entity Recognition by Entity Boundary Interference

open access: yes, 2023
Named Entity Recognition (NER) is a cornerstone NLP task while its robustness has been given little attention. This paper rethinks the principles of NER attacks derived from sentence classification, as they can easily violate the label consistency between the original and adversarial NER examples.
Yang, Yifei, Wu, Hongqiu, Zhao, Hai
openaire   +2 more sources

Tumor‐stromal crosstalk and macrophage enrichment are associated with chemotherapy response in bladder cancer

open access: yesFEBS Open Bio, EarlyView.
Chemoresistance in bladder cancer: Macrophage recruitment associated with CXCL1, CXCL5 and CXCL8 expression is characteristic of Gemcitabine/Cisplatin (Gem/Cis) Non‐Responder tumors (right side) while Responder tumors did not show substantial tumor‐stromal crosstalk (left side). All biological icons are attributed to Bioicons: carcinoma, cancerous‐cell‐
Sophie Leypold   +11 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

Introduction to the CoNLL-2003 Shared Task: Language-Independent Named Entity Recognition [PDF]

open access: yes, 2003
We describe the CoNLL-2003 shared task: language-independent named entity recognition. We give background information on the data sets (English and German) and the evaluation method, present a general overview of the systems that have taken part in the ...
De Meulder, Fien   +1 more
core   +2 more sources

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

open access: yesFEBS Open Bio, EarlyView.
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill   +4 more
wiley   +1 more source

A Chinese Few-Shot Named-Entity Recognition Model Based on Multi-Label Prompts and Boundary Information

open access: yesApplied Sciences
Currently, few-shot setting and entity nesting are two major challenges in named-entity recognition (NER). Compared to English, Chinese NER not only has issues such as complex grammatical structures, polysemy, and entity nesting but also faces low ...
Cong Zhou, Baohua Huang, Yunjie Ling
doaj   +1 more source

YlmG1 is localized exclusively to the chloroplast envelope membrane and is involved in preprotein translocation in Arabidopsis thaliana

open access: yesFEBS Open Bio, EarlyView.
Cytosolically synthesized chloroplast preproteins are translocated across the outer and inner envelope membranes through translocons called TOC and TIC, respectively. In green algae and plants, the TIC core is composed of essential membrane proteins, Tic12, Tic20, and Tic214.
Mengyi Li, Xueyang Zhao, Masato Nakai
wiley   +1 more source

Mining web data for competency management [PDF]

open access: yes, 2005
We present CORDER (COmmunity Relation Discovery by named Entity Recognition) an un-supervised machine learning algorithm that exploits named entity recognition and co-occurrence data to associate individuals in an organization with their expertise and ...
Goncalves, A.L.   +4 more
core   +1 more source

Digital twins to accelerate target identification and drug development for immune‐mediated disorders

open access: yesFEBS Open Bio, EarlyView.
Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley   +1 more source

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