Search

Üç boyutlu yazıcı teknolojisi gıdadan sağlık sektörüne, savunmasanayiindenmimariye varacak kadar geniş bir yelpazeiçinde farklımalzemetürleriylegelişiminihızlasürdürmektedir.Yazıcılarınsanattasarımdisiplinlerininçoğundakullanılmayabaşlanmasıylayenilikçiörnekvetekniklerortayaçıkmıştır.Seramikmalzemedebuyenilikçiyaklaşımla üç boyutlu yazıcılarda kullanılan malzemeler arasınagirmiştir.Buçalışma,TÜBİTAK1002projesiolarakyapılmışveTÜBİTAK-MAMtarafından onaylanmış olan “Harç Yığma Tekniği İle Çalışan ÜçBoyutlu Seramik Yazıcılarda Kullanılabilecek Bünye Araştırmaları”başlıklıprojeninbirparçasıolarakgerçekleştirilmiştir.Harçyığmatekniğiyleçalışanseramikyazıcılar,sononyıldakullanıcıilgisininartmasıyladaparalelolarakteknikveyapısalolarakgelişimgöstermektedir.Bu yazıcılarda kullanılançamurlargerekpiyasadanhazır olarak satın alınabilen çamurların belirli yoğunluklardahazırlanmasıyla, gerekse farklı hammadde ve killerle oluşturulanyenibünyelerinhazırlanmasıyladagerçekleştirilebilir.Çalışmadaulaşılmakistenenbilimselhedef;yerelhammaddelerleüçboyutlu yazıcılarda kullanılmak üzere, düşük derecelerdepekişebilen seramik çamurları geliştirmek, seramik sanayindeşekillendirmeaşamasındakullanılanyanürünlerebağlıkalmaksızınürün geliştirerek alana yönelik maliyetleri azaltmak ve buçamurlarınfizikiyapılarınayönelikgeliştirmeönerilerinisunmaktır.Araştırmada nicel ve deneysel yöntem kullanılarak üç boyutluseramikyazıcılariçinözelhazırlanmışbünyereçetelerioluşturulmuşveüçboyutluformlarüzerindeuygulanmıştır. Three-dimensionalprintertechnologycontinuestoprogressbyleapsand bounds with different types of materials in a wide range fromthefood tohealthsector, fromthedefenseindustry toarchitecture.Innovative examples and techniques have emerged with the use ofprinters in most of the art and design disciplines. Along thisinnovative approach, ceramic material has become one of thematerialsusedinthree-dimensionalprinters.ThisstudywascarriedoutasaTÜBİTAK1002projectandasapartof the project titled "Constitutional Studies That Can Be Used inThree Dimensional Ceramic Printers Working with FusionDepositionModellingTechnique"approvedbyTÜBİTAK-MAM.Fused Deposition Modeling printers in ceramics have beendeveloping technicallyandstructurallyinparallelwith theincreaseinuserinterestinthelasttenyears.Theslurryusedintheseprinterscanalsobemadebypreparingtheclaysincertaindensitiesthatcanbeboughtfromthemarketorbypreparingnewbodiescreatedwithdifferentrawmaterialsandclays.Scientific goals to be reached in the study; to develop ceramicslurriesthatcanbeconsolidatedatlowdegreestobeusedinthreedimensionalprinterswithlocalrawmaterials,toreducethecostsfortheareabydevelopingproductsregardlessof theby-productsusedin the shaping process in the ceramic industry and to offerdevelopmentsuggestionsthatcanbemadeinthestructureoftheseclays. In the research, body recipes specially prepared for threedimensional ceramic printers were created using quantitative a

Objective: To evaluate changes in the demographic and diagnostic distribution of patients presenting to the ophthalmology department during the COVID-19 pandemic, compared to the pre-pandemic period. Methods: The study included patients who made outpatient appointments in our ophthalmology department. The COVID-19 group (CovG) comprised patients who presented between April 15 and May 15, 2020, the 30-day period with the highest daily number of new cases in Turkey. The control group (CG) was obtained by randomization through a computer program from among 2 245 patients who applied in the same period of the previous year. The patients’ presenting complaint(s), diagnostic(s) and demographic information’s were collected from a database, with all identifying information concealed. For patients who presented more than once, their initial complaint and diagnoses were analyzed. Results: The study included a total of 400 patients: 200 in the CovG and 200 in the CG. Mean ages in the CovG and CG were 41.23 ± 14.48 and 48.20 ± 17.49 years, respectively (p < 0.001). The female to male patient ratio was 0.53 in the CovG and 0.83 in the CG (p = 0.032). There were fewer university graduates compared to other education levels among the patients who presented during the pandemic (p = 0.013). During the COVID-19 pandemic, there was no increase in presentation frequency for any ocular disease compared to the previous year. The only statistical decrease in patient application complaints was observed in reading difficultness (11 % in CovG vs. 37 % in CG; p < 0.001). Presentations due to dry eye (DE) and allergic conjunctivitis (AC) were similar to the same period of the year (p = 0.303 and p = 0.550, respectively). At least 1 chronic ocular disease was present in 25 % of the CovG and 45.5 % of the CG (p < 0.001). A statistically significant decrease was observed in CovG for age-related macular degeneration and glaucoma in the diagnoses made at the end of the examination (p = 0.001 and p < 0.001, respectively). Conclusion: During the first peak of the COVID-19 pandemic in Turkey, the most common outpatient presentations to the ophthalmology department were for the diagnoses of DE and AC. During peak pandemic period, elderly patients, women and academically trained patients significantly reduced their visits to the Eye Clinic. The reduction in presentation of patients with glaucoma and age-related macular degeneration may be due to the long-term treatment planning for these patients and the social isolation measures issued for the older population. These patients should be encouraged to use video consultation / telemedicine in eye patients at risk of vision loss.

Cataloged from PDF version of article. Thesis (Master's): Bilkent University, Department of Electrical and Electronics Engineering, İhsan Doğramacı Bilkent University, 2021. Includes bibliographical references (leaves 56-60). We investigate the sequential modeling problem and introduce a novel gating mechanism into the temporal convolutional network architectures. In particular, we propose the Gated Temporal Convolutional Network architecture with elaborately tailored gating mechanisms. In our implementation, we alter the way in which the gradients ow and avoid the vanishing or exploding gradient and the dead ReLU problems. The proposed GTCN architecture is able to model the irregularly sampled sequences as well. In our experiments, we show that the basic GTCN architecture is superior to the generic TCN architectures in various benchmark tasks requiring the modeling of long-term dependencies and irregular sampling intervals. Moreover, we achieve the state-of-the-art results on the permuted sequential MNIST and the sequential CIFAR10 benchmarks with the basic structure. by Fatih Aslan M.S.