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17篇 您的检索式：作者名="Lasfar"

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		题名	作者	年代	出处	被引量
	1	Antitumor activity of Type I and Type III interferons in BNL hepatoma model显示文摘	Walid Abushahba Murugabaskar Balan Ismael Castaneda Yao Yuan Kenneth Reuhl Elizabeth Raveche Andrew Torre Ahmed Lasfar Sergei V. Kotenko	2010	Cancer Immunology Immunotherapy2010，，7：	1
	2	RUNX2and the PI3K/AKT axis reciprocal activation as a driving force for tumor progression显示文摘	Cohen-Solal KA Boregowda RK Lasfar A	2015	Mol Cancer2015，25，14：	1
	3	Characterization ofthe mouse IFN - lambda ligand - receptor system ; IFN - lambdasexhibit antitumor activity against B16 melanoma显示文摘	Lasfar A Lewis - Antes A Smirnov SV	2006	Cancer Res2006，66，8：	1
	4	Comprehensive modeling of mat density effect on duckweed ( Lemna minor ) growth under controlled eutrophication显示文摘	Monette Frédéric Lasfar Samir Millette Louise Azzouz Abdelkrim	2006	Water Research2006，，15：	1
	5	Characterization of the mouse IFN-lambda ligand-receptor system: IFN-lambdas ex- hibit antitumor activity against B16 melanoma 显示文摘	Lasfar A Lewis-Antes A Smimov SV	2006	Cancer Res2006，66，8：	1
	6	Characterization of the mouse IFN-lambda ligand-reeeptor system: IFN-lambdas exhibit ant- itumor activity against B 16 melanoma显示文摘	Lasfar A Lewis-Antes A Smirnov SV	2006	Cancer Res2006，66，：	1
	7	Characterization of the mouse IFN - lambda ligand - receptor system: IFN - lambdas exhibit antitumor activity against B16 melanoma 显示文摘	LASFAR A LEWIS ANTES A SMIRNOV S V	2006	Cancer Res2006，66，8：	1
	8	Character- ization of the mouse IFN-lambda ligand-receptor system : IFN-lambdas exhibit antitumor activity against B16 mela- noma显示文摘	Lasfar A Lewis-Antes A Smirnov SV	2006	Cancer Res2006，66，8：	1
	9	Characterization of the mouse IFN-λ ligand-receptor system:IFN-λs exhibit antitumor activity against B16 melanoma显示文摘	Lasfar A Lewis-Antes A Sergy V		0，，08：	1
	10	Resistance to transforming growth factor β-mediated tumor suppression in melanoma: are multiple mechanisms in place?显示文摘	Lasfar A Cohen-Solal KA	2010	Carcinogenesis2010，31，10：	1
	11	Characterization of the mouse IFN-lambda ligand-receptor system: IFN-lambdas exhibit antitumor activity against B16 melanoma显示文摘	Lasfar A Lewis-Antes A Smirnov SV	2006	Cancer Res2006，66，8：	1
	12	Resistance to transforming growth factor β-mediated tumor suppression in melanoma: are multiple mechanisms in place?显示文摘	LASFAR A COHEN-SOLAL K A	2010	Carcinogenesis2010，31，10：	1
	13	Interferon lamb- da:a new sword in cancer immunotherapy显示文摘	Lasfar A Abushahba W Balan M	2011	Clin Dev Immunol2011，2011，34：	1
	14	Comprehensive modeling of mat density effect on duckweed (Lemna minor) growth under controlled eutrophication显示文摘	Monette F Lasfar S Millette L	2006	Water Research2006，40，15：	1
	15	Characterization of the mouse IFN-λ ligand-receptor sysrem:IFN-λs exhibit antitumor activity against B16 melanoma显示文摘	Lasfar A Lewis-Antes A Smirnov SV	2006	Cancer Res2006，66，8：	1
	16	Intrinsic growth rate:A new approach to evaluate the effects of temperature,photoperiod and phosphorus-nitrogen concentrations on duckweed growth under controlled eutrophication 显示文摘	LASFAR S MONETTE F MILLETTE L	2007	Water Research2007，41，：	1
	17	Impact of Data Quality on Question Answering System Performances显示文摘In contrast with the research of new models,little attention has been paid to the impact of low or high-quality data feeding a dialogue system.The present paper makes thefirst attempt tofill this gap by extending our previous work on question-answering(QA)systems by investigating the effect of misspelling on QA agents and how context changes can enhance the responses.Instead of using large language models trained on huge datasets,we propose a method that enhances the model's score by modifying only the quality and structure of the data feed to the model.It is important to identify the features that modify the agent performance because a high rate of wrong answers can make the students lose their interest in using the QA agent as an additional tool for distant learning.The results demonstrate the accuracy of the proposed context simplification exceeds 85%.Thesefindings shed light on the importance of question data quality and context complexity construct as key dimensions of the QA system.In conclusion,the experimental results on questions and contexts showed that controlling and improving the various aspects of data quality around the QA system can significantly enhance his robustness and performance.	Rachid Karra Abdelali Lasfar	2023	Intelligent Automation & Soft Computing2023，，1：	0

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