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26篇 您的检索式:作者名="Nazik"
    题名 作者 年代 出处 被引量
1Protein-based nanocarriers as promising drug and gene delivery systems显示文摘Ahmed O. Elzoghby Wael M. Samy Nazik A. Elgindy 2012Journal of Controlled Release2012,,1:1
2Metabolic model for acetate uptake by a mixed culture of phos-phate-and glycogen-accumulating organisms under anaerobic conditions显示文摘Yagci Nevin Artan Nazik Cokgor E U 2003Biotechnol Bioeng2003,84,3:1
3Indications, complications and long-term follow-up of patients undergoing percutaneous endoscopic gastrostomy: A retrospective study显示文摘Fatih Ermis Melih Ozel Kemal Oncu Yusuf Yazgan Levent Demirturk Ahmet Kemal Gurbuz Taner Akyol Hasan Nazik 2012Wiener klinische Wochenschrift (-)2012,,5:1
4Metabolic model for acetate uptake by a mixed culture of phosphate- and glycogen-accumulating organisms under anaerobic conditions 显示文摘Nevin Yagci Nazik Artan Emine Ubay Cokgor 2003Biotechnology and Bioengineering2003,84,3:1
5The prevention and reduction of postpar- tum complications: Orem's model 显示文摘Nazik E Eryilmaz G 2013Nursing science quar- terly2013,26,4:1
6Synthesis and In Vitro Anti-HIV Activity of Some New Schiff Base Ligands Derived from 5-Amino-4-phenyl-4H-1,2,4-triazole-3-thiol and Their Metal Complexes 显示文摘Najim A A Nazik M A Abdulalah T M 2009Phosphorus Sulfur Silicon2009,184,:1
7Genotype and antibiotic susceptibility patterns of pseudonas aeruginosa and Stenotrophomonas maltophilia isolated from cystic fibrosis patients显示文摘Nazik H ngen B Erturan Z 2007Jpn J Infect Dis2007,60,:1
8A giant endometrial polyp in a postmenopausal woman显示文摘Narin R Nazik H Aytan H 2013J Obstet Gynaecol Can2013,35,2:1
9Protein-based nanocarriers as promising drug and gene delivery systems显示文摘Ahmed O. Elzoghby Wael M. Samy Nazik A. Elgindy 2012Journal of Controlled Release2012,,1:1
10Carbohydrate antigen 19‐9 is a prognostic and predictive biomarker in patients with advanced pancreatic cancer who receive gemcitabine‐containing chemotherapy显示文摘Todd M. Bauer Bassel F. El‐Rayes Xiaobai Li Nazik Hammad Philip A. Philip Anthony F. Shields Mark M. Zalupski Tanios Bekaii‐Saab 2012Cancer2012,,2:1
11A giant endometrial polyp in a postmenopausal women显示文摘Narin R Nazik H Aytan H 2013J Obstet Gynarecol Can2013,35,2:1
12External decontamination of wild leeches with hypochloric acid显示文摘 NAZIK H KUVAT SV 2004BMC Infect Dis2004,25,4:1
13Effect of aspartate and glutamate on the fate of enhanced biological phosphorus removal process and microbial community structure 显示文摘Gulsum Emel Z Nazik A Derin O 2011Bioresource Technology2011,102,2:1
14Coexistence ofblaOXA-48 and aac(6')-Ib-cr Genes in Klebsiella pneumoniae Isolates from Istanbul,Turkey显示文摘Nazik H (O)ngen B Mete B 0,,05:1
15Albumin-based nanoparticles as potential controlled release drug delivery systems显示文摘Ahmed O. Elzoghby Wael M. Samy Nazik A. Elgindy 2011Journal of Controlled Release2011,,2:1
16The prevention and reduction of postpartum complications:orem's model 显示文摘NAZIK E ERYILMAZ G 2013Nuts Sci Q2013,26,4:1
17Genotype and antibioticsusceptibility patterns of Pseudomonas aeruginosa and Stenotro-phomonas maltophilia isolated from cystic fibrosis patients 显示文摘Nazik H Ongen B Erturan Z 2007Infect Dis2007,60,:1
18FACT: Financial accounting computerized tutor显示文摘Nazik S. Roufaiel 1995Journal of Accounting Education1995,,2:1
19Genotype and antibiotic susceptibility patterns of Pseudomonas aeruginosa and Stenotrophomonas maltophilia isolated from cystic fibrosis patients显示文摘Nazik H Ongen B Erturan Z 2007Jpn J Infect Dis2007,60,23:1
20LexDeep:Hybrid Lexicon and Deep Learning Sentiment Analysis Using Twitter for Unemployment-Related Discussions During COVID-19显示文摘The COVID-19 pandemic has spread globally,resulting in financialinstability in many countries and reductions in the per capita grossdomestic product.Sentiment analysis is a cost-effective method for acquiringsentiments based on household income loss,as expressed on social media.However,limited research has been conducted in this domain using theLexDeep approach.This study aimed to explore social trend analytics usingLexDeep,which is a hybrid sentiment analysis technique,on Twitter to capturethe risk of household income loss during the COVID-19 pandemic.First,tweet data were collected using Twint with relevant keywords before(9 March2019 to 17 March 2020)and during(18 March 2020 to 21 August 2021)thepandemic.Subsequently,the tweets were annotated using VADER(lexiconbased)and fed into deep learning classifiers,and experiments were conductedusing several embeddings,namely simple embedding,Global Vectors,andWord2Vec,to classify the sentiments expressed in the tweets.The performanceof each LexDeep model was evaluated and compared with that of a supportvector machine(SVM).Finally,the unemployment rates before and duringCOVID-19 were analysed to gain insights into the differences in unemploymentpercentages through social media input and analysis.The resultsdemonstrated that all LexDeep models with simple embedding outperformedthe SVM.This confirmed the superiority of the proposed LexDeep modelover a classical machine learning classifier in performing sentiment analysistasks for domain-specific sentiments.In terms of the risk of income loss,the unemployment issue is highly politicised on both the regional and globalscales;thus,if a country cannot combat this issue,the global economy will alsobe affected.Future research should develop a utility maximisation algorithmfor household welfare evaluation,given the percentage risk of income lossowing to COVID-19.Azlinah Mohamed Zuhaira Muhammad Zain Hadil Shaiba Nazik Alturki Ghadah Aldehim Sapiah Sakri Saiful Farik Mat Yatin Jasni Mohamad Zain 2023Computers, Materials & Continua2023,,4:0
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