Results 221 to 230 of about 50,010 (270)

Multifunctional Nanovaccine‐Radiotherapy Synergy Drives Anti‐Tumor Immunity via Multi‐Cascade Cell Death for Pancreatic Cancer Therapy

open access: yesAdvanced Science, EarlyView.
Machine‐learning‐driven transcriptomic analysis identifies FSTL3 as a key tumor‐microenvironment regulator in desmoplastic pancreatic adenocarcinoma. A cRGD‐modified liposome co‐loading gemcitabine and siFSTL3 serves as an irradiation‐triggered in situ nanovaccine. It synergizes with radiotherapy to induce ferroptosis and immunogenic cell death through
Chengyi Huang   +11 more
wiley   +1 more source

Genetic structure of Rattus rattus populations in an endemic plague focus in Madagascar: Implications for rodent surveillance and management. [PDF]

open access: yesPLoS One
Parany MNJ   +9 more
europepmc   +1 more source

Generalizing machine learning models from clinical free text. [PDF]

open access: yesSci Rep
Pandian B   +8 more
europepmc   +1 more source

Spell checker for Myanmar language

2012 International Conference on Information Retrieval & Knowledge Management, 2012
Natural Language Processing (NLP) is one of the most important research areas carried out in the world of Human language. For every language, spell checker is an essential component of many of the common Desktop applications, Machine Translation system and Office Automation system. In Myanmar, Myanmar Language is used as an official language.
exaly   +2 more sources

Didn't You Run the Spell Checker? Effects of Type of Spelling Error and Use of a Spell Checker on Perceptions of the Author

Reading Psychology, 2005
We investigated expectations regarding a writer's responsibility to proofread text for spelling errors when using a word processor. Undergraduate students read an essay and completed a questionnaire regarding their perceptions of the author and the quality of the essay.
Lauren Figueredo, Connie K. Varnhagen
exaly   +2 more sources

Spell Checker for Thai Document

TENCON 2005 - 2005 IEEE Region 10 Conference, 2005
The objective of post-processing of OCR is to correct error from OCR result. It is important to use a spell checker tool to detect and to correct misspelled words. This paper proposes statistical method to find unexpectedly frequent character sequences without relying on the dictionary. It is a flexible method to detect the out of vocabulary words. The
exaly   +2 more sources

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