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| 1 | An investigation of physical education teachers' work alienation level according to some variables显示文摘 | Temel C Mirzeoglu N Dilsad Mirzeoglu h | 2013 | International Journal of Academic Research2013，5，： | 1 |
| 2 | Prevalence of snoring and symptoms of sleep-disordered breathing in primary school children in Istanbul显示文摘 | Refika E Ayse R Dilsad S | 2004 | Chest2004，126，1： | 1 |
| 3 | Prevalence of snoring and symptoms of sleep - disordered breathing in primary school children in Istanbul显示文摘 | Refika E Ayse R Dilsad S | 2004 | Chest2004，126，1： | 1 |
| 4 | The determination of fertilizer quality of the formed struvite from effluent of a sewage sludge anaerobic digester显示文摘 | Uysal Ayla Yilmazel Y Dilsad Demirer Goksel N | 2010 | Journal of Hazardous Materials2010，181，13： | 1 |
| 5 | Prevalence of snoring and symptoms of sleep-disordered breathing in primary school children in Istanbul显示文摘 | Refika E Ayse R Dilsad S | 2004 | Chest2004，126，1： | 1 |
| 6 | Effect of Use of Slow Release of Bone Morphogenetic Protein-2 and Transforming Growth Factor-Beta-2 in a Chitosan Gel Matrix on Cranial Bone Graft Survival in Experimental Cranial Critical Size Defect Model显示文摘 | Halil Ibrahim Canter Ibrahim Vargel Petek Korkusuz Filiz Oner Dilsad B. Gungorduk Barbaros Cil Erdem Karabulut Mustafa F. Sargon Yucel Erk | 2010 | Annals of Plastic Surgery2010，，3： | 1 |
| 7 | The determination of fertilizer quality of the formed struvite from effluent of a sewage sludge anaerobic digester 显示文摘 | Uysal Ayla Yilmazel Y Dilsad Demirer Goksel N | 2010 | Journal of Hazardous Materials2010，181，13： | 1 |
| 8 | The de- termination of fertilizer quality of the formed struvite from effluent of a sewage sludge anaerobic digester 显示文摘 | Uysal Ayla Yilmazel Y Dilsad Demirer Goksel N | 2010 | Journal of Hazardous Materials2010，181，13： | 1 |
| 9 | Sweet solutions and pacifiers for pain relief in newborn infants显示文摘 | Ipek Akman Eren ]zek Hulya Bilgen Tutku Ozdogan Dilsad Cebeci | 2002 | Journal of Pain2002，，3： | 1 |
| 10 | Adolescent depression: progress and future challenges in prevention and control activities 显示文摘 | Pinar Ay Dilsad S | 2004 | MMJ2004，，17： | 1 |
| 11 | Frequency and safety of COVID-19 vaccination in children with multisystem inflammatory syndrome:a telephonic interview-based analysis显示文摘Coronavirus disease 2019(COVID-19)vaccines are currently approved or authorized to prevent serious outcomes,such as severe disease,hospitalization,and death.The Pfizer-BioNTech vaccine is recommended for everyone aged five and older in the United States(US)to prevent severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)infection[1,2].However,it is unclear whether children with a history of multisystem,inflammatory syndrome in children(MIS-C)may be at risk for a MIS-like response following COVID-19 vaccination or SARS-CoV-2 reinfection[2].Therefore,physicians remain uncertain about vaccinating children with a history of MIS-C.This study investigates the occurrence of severe,systemic side effects of COVID-19 vaccines and the recurrence of the MIS-C symptoms in children with a history of MIS-C to overcome vaccine hesitancy. | Kubra Aykac Kubra Ozturk Osman Oguz Demir Dilan Demir Gumus Sevgi Aslan Ela Cem Miray Yilmaz Celebi Mustafa Dogan Karabacak Gulsum Alkan Fatma Dilsad Aksoy Burcu Ceylan Cura Yayla Eda Kepenekli Solmaz Celebi Melike Emiroglu Ilker Devrim Ali Bulent Cengiz Mehmet Ceyhan Yasemin Ozsurekci | 2022 | World Journal of Pediatrics2022，18，10： | 0 |
| 12 | Metagenomics and volatile profile of Turkish artisanal Tulum cheese microbiota显示文摘Turkish artisanal Tulum cheese is a traditional raw milk cheese and starter cultures are not used for ripening process.In this study,16S rRNA amplicon-based sequencing approach was used for determining bacterial diversity in Tulum cheeses.The volatile organic compound(VOC)profile which contributes to sensory properties of the cheeses was determined via solid-phase microextraction combined with gas chromatography-mass spectrometry(GC-MS/SPME)and correlated with the microbiota.In Tulum cheese samples,Lactobacillaceae(30,71%)phylum widely varied but Streptococcaceae(59,86%)was dominant.It mainly belongs to the four dominant genera of lactic acid bacteria(LAB)and includes Lactobacillus,Lactococcus,Streptococcus and Pediococcus.The bacterial diversity of TC5 sample was much higher than that of other samples.Moreover,several species of non-starter LAB were frequently detected.A total of 36 volatile compounds were identified including hydrocarbons(3),acids(13),alcohols(5),ketones(3),aldehydes(3),esters(8)and miscellaneous compound(1).Pentadecanoic acid,octadecanoic acid,tetradecanoic acid,octanoic acid,hexanoic acid were determined to be dominant in all cheese samples and to be related to microbial flora.Also,the sensory profiles of the samples were examined.The most popular TC6 did not contain 2-butanone and hexanal from the volatile organic compound(VOC)values,while in the most unpopular TC3,2-butanone(7.73%)and hexanal(5.95%)were found to be the highest.The outcome of this study will contribute to literature on bacterial diversity and aromatic profile of Tulum cheese which should be investigated in order to improve quality and safety. | Yekta Gezginc Tugba Karabekmez-Erdem Hazel Dilsad Tatar Elif Coskun Daggecen Sermet Ayman Ismail Akyol | 2022 | Food Bioscience2022，45，1： | 0 |
| 13 | Automatic Detection and Classification of Human Knee Osteoarthritis Using Convolutional Neural Networks显示文摘Knee Osteoarthritis(KOA)is a degenerative knee joint disease caused by‘wear and tear’of ligaments between the femur and tibial bones.Clinically,KOA is classified into four grades ranging from 1 to 4 based on the degradation of the ligament in between these two bones and causes suffering from impaired movement.Identifying this space between bones through the anterior view of a knee X-ray image is solely subjective and challenging.Automatic classification of this process helps in the selection of suitable treatment processes and customized knee implants.In this research,a new automatic classification of KOA images based on unsupervised local center of mass(LCM)segmentation method and deep Siamese Convolutional Neural Network(CNN)is presented.First-order statistics and the GLCM matrix are used to extract KOA anatomical Features from segmented images.The network is trained on our clinical data with 75 iterations with automaticweight updates to improve its validation accuracy.The assessment performed on the LCM segmented KOA images shows that our network can efficiently detect knee osteoarthritis,achieving about 93.2%accuracy along with multi-class classification accuracy of 72.01%and quadratic weighted Kappa of 0.86. | Mohamed Yacin Sikkandar S.Sabarunisha Begum Abdulaziz AAlkathiry Mashhor Shlwan NAlotaibi Md Dilsad Manzar | 2022 | Computers, Materials & Continua2022，，3： | 0 |
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