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12篇 您的检索式：作者名="Amar RA"

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		题名	作者	年代	出处	被引量
	1	Positive correlation between serum and peritoneal fluid CA-125 levels in women with pelvic endometriosis显示文摘	Amaral VF Ferriani RA Sa MF	2006	Sao Paulo Med J2006，124，4：	1
	2	Effects of active smoking on airway and systemic inflammation profiles in patients with chronic obstructive pulmonary disease显示文摘	Pelegrino NR Tanni SE Amaral RA	2013	Am J Med Sci2013，345，6：	1
	3	Positive corre- lation between serum and peritoneal fluid CA-125 levels in women with pelvic endometriosis 显示文摘	Amaral VF Ferriani RA Nogueira AA	2006	Sao Paulo Med J2006，124，4：	1
	4	Relationship of early postoperative dysrhythmias and long-term outcome after resection of non-small cell lung cancer显示文摘	Amar D Burt M Reinsel RA	1996	Chest1996，110，2：	1
	5	Taurine supplementation enhances nutrient-induced insulin secretion in pancreatic mice islets显示文摘	Ribeiro RA Bonfleur ML Amaral AG	2009	Diabetes Metab Res Rev2009，25，4：	1
	6	Positive correlation between serum and peritoneal fluid CA-125 levels in women with pelvic endometriosis显示文摘	Ferriani RA Sa MF	2006	Sao Panlo Med J2006，124，4：	1
	7	Indication of elective contralateral neck dissection in squamous cell carcinoma of the hypopharynx 显示文摘	Amar A Dedivitis RA Rapoport A	2009	Braz J Otorhinolaryngol2009，75，4：	1
	8	Positive correla-tion between serum and peritoneal fluid CA-125 levels inpositive women with pelvic endometriosis显示文摘	Amaral VF Ferriani RA Sa MF	2006	Sao PauloMed J2006，124，4：	1
	9	Effect of some recent analgesics on labor pain and maternal and fetal blood gases and pH 显示文摘	Wahab SA Askalani AH Amar RA	1988	Int J Gynaecol Obstet1988，26，1：	1
	10	Positive correlation between serum and peritoneal fluid CA-125 levels in women with pelvic endometriosis显示文摘	Amaral VF Ferriani RA Sá MF		0，，：	1
	11	Positive correlation between serum and peritoneal fluid CA-125 levels in women with pelvic endometriosis显示文摘	Amaral VF Ferriani RA $6 MF	2006	Sao Paulo Med J2006，124，4：	1
	12	A New Enhanced Arabic Light Stemmer for IR in Medical Documents显示文摘This paper introduces a new enhanced Arabic stemming algorithm for solving the information retrieval problem,especially in medical documents.Our proposed algorithm is a light stemming algorithm for extracting stems and roots from the input data.One of the main challenges facing the light stemming algorithm is cutting off the input word,to extract the initial segments.When initiating the light stemmer with strong initial segments,the final extracting stems and roots will be more accurate.Therefore,a new enhanced segmentation based on deploying the Direct Acyclic Graph(DAG)model is utilized.In addition to extracting the powerful initial segments,the main two procedures(i.e.,stems and roots extraction),should be also reinforced with more efficient operators to improve the final outputs.To validate the proposed enhanced stemmer,four data sets are used.The achieved stems and roots resulted from our proposed light stemmer are compared with the results obtained from five other well-known Arabic light stemmers using the same data sets.This evaluation process proved that the proposed enhanced stemmer outperformed other comparative stemmers.	Ra’ed M.Al-Khatib Taha Zerrouki Mohammed M.Abu Shquier Amar Balla Asef Al-Khateeb	2021	Computers, Materials & Continua2021，，7：	0

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