MMSR: Multiple-Model Learned Image Super-Resolution Benefiting From Class-Specific Image Priors

Assuming a known degradation model, the performance of a learned image super-resolution (SR) model depends on how well the variety of image characteristics within the training set matches those in the test set. As a result, the performance of an SR model varies noticeably from image to image over a test set depending on whether characteristics of specific images are similar to those in the training set or not. Hence, in general, a single SR model cannot generalize well enough for all types of image content. In this work, we show that training multiple SR models for different classes of images (e.g., for text, texture, etc.) to exploit class-specific image priors and employing a post-processing network that learns how to best fuse the outputs produced by these multiple SR models surpasses the performance of state-of-the-art generic SR models. Experimental results clearly demonstrate that the proposed multiple-model SR (MMSR) approach significantly outperforms a single pre-trained state-of-the-art SR model both quantitatively and visually. It even exceeds the performance of the best single class-specific SR model trained on similar text or texture images.Comment: 5 pages, 4 figures, accepted for publication in IEEE ICIP 2022 Conferenc

Perception-Distortion Trade-off in the SR Space Spanned by Flow Models

Flow-based generative super-resolution (SR) models learn to produce a diverse set of feasible SR solutions, called the SR space. Diversity of SR solutions increases with the temperature ($\tau$) of latent variables, which introduces random variations of texture among sample solutions, resulting in visual artifacts and low fidelity. In this paper, we present a simple but effective image ensembling/fusion approach to obtain a single SR image eliminating random artifacts and improving fidelity without significantly compromising perceptual quality. We achieve this by benefiting from a diverse set of feasible photo-realistic solutions in the SR space spanned by flow models. We propose different image ensembling and fusion strategies which offer multiple paths to move sample solutions in the SR space to more desired destinations in the perception-distortion plane in a controllable manner depending on the fidelity vs. perceptual quality requirements of the task at hand. Experimental results demonstrate that our image ensembling/fusion strategy achieves more promising perception-distortion trade-off compared to sample SR images produced by flow models and adversarially trained models in terms of both quantitative metrics and visual quality.Comment: 5 pages, 4 figures, accepted for publication in IEEE ICIP 2022 Conferenc

Disease-Modifying Antirheumatic Drugs Increase Serum Adiponectin Levels in Patients With Rheumatoid Arthritis

Background: Adiponectin is an adipocyte-derived adipokine with immunosuppressive and anti-inflammatory properties. It also decreases expression of adhesion molecules. In terms of its relationship with acute-phase reactants, there are conflicting results in patients with rheumatoid arthritis (RA)

İzmir'de bir Levanten ailesi : Baba Ailesi

Ankara : İhsan Doğramacı Bilkent Üniversitesi İktisadi, İdari ve Sosyal Bilimler Fakültesi, Tarih Bölümü, 2018.This work is a student project of the Department of History, Faculty of Economics, Administrative and Social Sciences, İhsan Doğramacı Bilkent University.The History of Turkey course (HIST200) is a requirement for all Bilkent undergraduates. It is designed to encourage students to work in groups on projects concerning any topic of their choice that relates to the history of Turkey. It is designed as an interactive course with an emphasis on research and the objective of investigating events, chronologically short historical periods, as well as historic representations. Students from all departments prepare and present final projects for examination by a committee, with 10 projects chosen to receive awards.Includes bibliographical references (pages 14-15).by İbrahim Mert Öztürk

An Adolescent Girl with an Extraordinary Crohn Disease

WOS: 000498747600181

Evaluation of deaf children in a large series in Turkey

WOS: 000227668200011PubMed: 15733596Objective: Evaluation of the deafness etiology, ear examination findings and hearing levels of deaf children in a large series. Patients and methods: We studied 840 deaf primary school children (486 mate, 354 female, mean age 12.69 +/- 3.52, range 5-22). A questionaire investigating the prenatal, perinatal and postnatal etiological causes was prepared and pedigree analysis was performed. After ENT examination, odyologic tests were performed. Results: The etiological features of deafness were found for genetic causes as 429 cases (51.1%), 127 children (15.1%) for acquired group and 284 children (33.8%) for unknown group. We confirmed 136 (15.5%) syndromic deaf children and 19 of them (13.9%) were autosomal recessive (AR), 105 of them (77.2%) were autosomal dominant (AD), six (4.4%) of them were X-linked. Two hundred and ninety-three deaf (33.4%) children were in the familial nonsyndromic group. In this group, the inheritance of 255 (87%) were AR, 23 (7.8%) were AD and 15 (5.2%) were X-linked recessive. Febrile convulsion was identified as the most common etiology in 36 (4.3%) cases in the acquired group. Three hundred and twenty-two (67.7%) children had profound HL (above 91 dB), 111 (23.3%) had severe HL and 43 (9%) had moderately severe HL. Sensorineural. HL was found in 439 (92.2%) and mixed type hearing loss was seen 37 (7.8%) of 476 cases. We found many major and minor abnormalities and ocular, ear and dental pathologies. The prevalence of ear diseases was found in 203 (24.2%) of children. Impacted wax was found in 80 (9.5%) of 840 children with otoscopic examination and was the most common pathology, retraction in 70 (8.3%) and perforation in 15 (1.8%) followed it. Conclusion: Preventable ear disease are important health problems among school children for the deaf because these diseases can affect the real level and type of deafness, so determining early diagnostic criteria, ear diseases and minor abnormalities is important for early rehabilitation. Syndromes can be prevented in pregnancy, infections can be prevented in prenatal or postnatal period but unknown group cannot be prevented although the unknown etiology can be reduced by multidiciplinary approach. (c) 2004 Elsevier Ireland Ltd. All rights reserved

The effect of mesenchymal stromal cells in the microenvironment on cancer development

Inflammatory signals secreted from the tumor microenvironment are thought to promote tumor growth and survival. It has been reported that stromal cells in the tumor microenvironment have similar characteristics to tumor-associated cells. In addition miRNAs play critical roles in various diseases, including cancer. In this study, we aimed to investigate the effects of co-culture of cancer cells and stromal cells isolated from normal and malignant breast tissue on each other and the possible effects of miRNAs on these interactions. The characterized stromal cells were co-cultured with an MDA-MB-231 cancer cell line. The proliferation capacity of the experimental groups was evaluated using the WST-1 assay. The expression of breast cancer-specific miRNAs and related genes were assessed by real-time PCR. ELISA assay was performed to determine the concentration of some cytokines and chemokines. We found that the microenvironment plays an important role in the development of cancer, confirming the changes in the expression of oncogenic and tumor suppressor miRNA and their target genes after co-culture with malignant stromal cells. As a result of the studies, specific gene expressions of related signaling pathways were detected in correlation with miRNA changes and the effects of tumor microenvironment on tumorigenesis were revealed in detail. miRNAs have been shown to play an important role in cancer development in recent studies. The idea that these small molecules can be used in diagnosis and treatment is becoming stronger day by day. We believe that new treatment approaches involving the tumor microenvironment and using miRNAs as markers are promising