Browsing by Author "Karadağ İ."

Now showing 1 - 5 of 5
  • No Thumbnail Available
    Item
    Noise Emission from Building Integrated Wind Turbines: A Case Study of a Tall Building
    (Sakarya University, 2021) Karadağ İ.; Kuruçay E.
    Tall buildings have the ability to produce wind energy, having been exposed to relatively high airflow speeds at a far distance from ground levels. However, with the introduction of wind energy into urban areas, there are many concerns. These include especially environmental noise impacts since the wind turbines will be located in dense urban areas where tall buildings are mostly located. Therefore, this increasing use of wind energy in the built environment has led to the publication of up-to-date regulations that limit noise levels for wind farms in many European countries. At this point, the following three aspects should be considered for noise emission: the noise source, the distance from the source, and the sound pressure level of the noise source. The choice of wind turbines for urban environments should, therefore, be compatible with low noise levels. In addition, careful positioning of turbines is also important (avoid locations where wind conditions are unfavorable, avoid sensitive places, i.e. areas at which noise levels must be low). It was necessary to calculate the noise in strong winds because the noise from a wind turbine rises with wind velocity. For the measurement of noise emitted from the wind turbine, two potential solutions were proposed until now; either it could be measured in a wind tunnel or it could be measured in the natural wind outside. However, in the early design stage, these types of measurement methods are mostly not preferable due to high financial requirements and long measurement processes. Hence, in this study, wind turbine noise is simulated via software. A case study of a tall mixed-use tower is chosen and the environmental noise distribution due to the wind turbine located on the roof of the tower is simulated. The results may provide an important guideline for architects looking for an acoustically comfortable way to integrate wind turbines into their buildings in the early design stage. © 2021, Sakarya University. All rights reserved.
  • No Thumbnail Available
    Item
    Numerical evaluation of pedestrian-level wind and indoor thermal comfort of a historical monument, Muğla, Turkey
    (Emerald Group Holdings Ltd., 2022) Gençer F.; Karadağ İ.
    Purpose: The study aims to analyze both thermal and wind comfort conditions of a historical mosque's interior and outdoor spaces for the planning of further conservation decisions. Design/methodology/approach: The method is composed of two steps. First, thermal comfort analyses are conducted via Design-Builder Software. The predicted mean vote (PMV) and predicted percentage of dissatisfied indices were calculated and evaluated using the ASHRAE 55–2010 standard. Thermal comfort conditions are analyzed with the proposed three operations. Second, wind comfort analyses are conducted via computational fluid dynamics (CFD) software. Outdoor thermal comfort conditions are predicted by air temperature, mean radiant temperature, wind speed and relative humidity. Findings: The (PMV) in the harim was calculated as −1.83 (cool) which corresponds to a predicted percentage of dissatisfaction (PPD) equal to 68.54%. Thermal comfort was provided by daytime and continuous operations; however, intermittent operations did not provide thermal comfort. The wind velocities around the mosque are well below the 5 m/s limit value for standing defined by NEN 8100 wind nuisance standard. Moreover, the limit value of 2.5 m/s for sitting was also satisfied with more than 80% of the semi-enclosed area around the entrance of the mosque. Last comer's hall remains in a slight cold stress range, the rest of the areas have no thermal stress. Originality/value: This two-stage study creates a base for further improvements to provide comfort conditions in a historical building without interfering with its original features. © 2022, Emerald Publishing Limited.
  • No Thumbnail Available
    Item
    Efficacy of subsequent treatments in patients with hormone-positive advanced breast cancer who had disease progression under CDK 4/6 inhibitor therapy
    (BioMed Central Ltd, 2023) Karacin C.; Oksuzoglu B.; Demirci A.; Keskinkılıç M.; Baytemür N.K.; Yılmaz F.; Selvi O.; Erdem D.; Avşar E.; Paksoy N.; Demir N.; Göksu S.S.; Türker S.; Bayram E.; Çelebi A.; Yılmaz H.; Kuzu Ö.F.; Kahraman S.; Gökmen İ.; Sakin A.; Alkan A.; Nayır E.; Uğraklı M.; Acar Ö.; Ertürk İ.; Demir H.; Aslan F.; Sönmez Ö.; Korkmaz T.; Celayir Ö.M.; Karadağ İ.; Kayıkçıoğlu E.; Şakalar T.; Öktem İ.N.; Eren T.; Urul E.; Mocan E.E.; Kalkan Z.; Yıldırım N.; Ergün Y.; Akagündüz B.; Karakaya S.; Kut E.; Teker F.; Demirel B.Ç.; Karaboyun K.; Almuradova E.; Ünal O.Ü.; Oyman A.; Işık D.; Okutur K.; Öztosun B.; Gülbağcı B.B.; Kalender M.E.; Şahin E.; Seyyar M.; Özdemir Ö.; Selçukbiricik F.; Kanıtez M.; Dede İ.; Gümüş M.; Gökmen E.; Yaren A.; Menekşe S.; Ebinç S.; Aksoy S.; İmamoğlu G.İ.; Altınbaş M.; Çetin B.; Uluç B.O.; Er Ö.; Karadurmuş N.; Erdoğan A.P.; Artaç M.; Tanrıverdi Ö.; Çiçin İ.; Şendur M.A.N.; Oktay E.; Bayoğlu İ.V.; Paydaş S.; Aydıner A.; Salim D.K.; Geredeli Ç.; Yavuzşen T.; Doğan M.; Hacıbekiroğlu İ.
    Background: There is no standard treatment recommended at category 1 level in international guidelines for subsequent therapy after cyclin-dependent kinase 4/6 inhibitor (CDK4/6) based therapy. We aimed to evaluate which subsequent treatment oncologists prefer in patients with disease progression under CDKi. In addition, we aimed to show the effectiveness of systemic treatments after CDKi and whether there is a survival difference between hormonal treatments (monotherapy vs. mTOR-based). Methods: A total of 609 patients from 53 centers were included in the study. Progression-free-survivals (PFS) of subsequent treatments (chemotherapy (CT, n:434) or endocrine therapy (ET, n:175)) after CDKi were calculated. Patients were evaluated in three groups as those who received CDKi in first-line (group A, n:202), second-line (group B, n: 153) and ≥ 3rd-line (group C, n: 254). PFS was compared according to the use of ET and CT. In addition, ET was compared as monotherapy versus everolimus-based combination therapy. Results: The median duration of CDKi in the ET arms of Group A, B, and C was 17.0, 11.0, and 8.5 months in respectively; it was 9.0, 7.0, and 5.0 months in the CT arm. Median PFS after CDKi was 9.5 (5.0–14.0) months in the ET arm of group A, and 5.3 (3.9–6.8) months in the CT arm (p = 0.073). It was 6.7 (5.8–7.7) months in the ET arm of group B, and 5.7 (4.6–6.7) months in the CT arm (p = 0.311). It was 5.3 (2.5–8.0) months in the ET arm of group C and 4.0 (3.5–4.6) months in the CT arm (p = 0.434). Patients who received ET after CDKi were compared as those who received everolimus-based combination therapy versus those who received monotherapy ET: the median PFS in group A, B, and C was 11.0 vs. 5.9 (p = 0.047), 6.7 vs. 5.0 (p = 0.164), 6.7 vs. 3.9 (p = 0.763) months. Conclusion: Physicians preferred CT rather than ET in patients with early progression under CDKi. It has been shown that subsequent ET after CDKi can be as effective as CT. It was also observed that better PFS could be achieved with the subsequent everolimus-based treatments after first-line CDKi compared to monotherapy ET. © 2023, The Author(s).
  • No Thumbnail Available
    Item
    Correction: Efficacy of subsequent treatments in patients with hormone-positive advanced breast cancer who had disease progression under CDK 4/6 inhibitor therapy (BMC Cancer, (2023), 23, 1, (136), 10.1186/s12885-023-10609-8)
    (BioMed Central Ltd, 2023) Karacin C.; Oksuzoglu B.; Demirci A.; Keskinkılıç M.; Baytemür N.K.; Yılmaz F.; Selvi O.; Erdem D.; Avşar E.; Paksoy N.; Demir N.; Göksu S.S.; Türker S.; Bayram E.; Çelebi A.; Yılmaz H.; Kuzu Ö.F.; Kahraman S.; Gökmen İ.; Sakin A.; Alkan A.; Nayır E.; Uğraklı M.; Acar Ö.; Ertürk İ.; Demir H.; Aslan F.; Sönmez Ö.; Korkmaz T.; Celayir Ö.M.; Karadağ İ.; Kayıkçıoğlu E.; Şakalar T.; Öktem İ.N.; Eren T.; Erul E.; Mocan E.E.; Kalkan Z.; Yıldırım N.; Ergün Y.; Akagündüz B.; Karakaya S.; Kut E.; Teker F.; Demirel B.Ç.; Karaboyun K.; Almuradova E.; Ünal O.Ü.; Oyman A.; Işık D.; Okutur K.; Öztosun B.; Gülbağcı B.B.; Kalender M.E.; Şahin E.; Seyyar M.; Özdemir Ö.; Selçukbiricik F.; Kanıtez M.; Dede İ.; Gümüş M.; Gökmen E.; Yaren A.; Menekşe S.; Ebinç S.; Aksoy S.; İmamoğlu G.İ.; Altınbaş M.; Çetin B.; Uluç B.O.; Er Ö.; Karadurmuş N.; Erdoğan A.P.; Artaç M.; Tanrıverdi Ö.; Çiçin İ.; Şendur M.A.N.; Oktay E.; Bayoğlu İ.V.; Paydaş S.; Aydıner A.; Salim D.K.; Geredeli Ç.; Yavuzşen T.; Doğan M.; Hacıbekiroğlu İ.
    Following publication of the original article [1], the authors reported an error in the author name of Enes Erul. Incorrect: Enes Urul Correct: Enes Erul, The original article [1] has been corrected. © 2023, The Author(s).
  • No Thumbnail Available
    Item
    Transforming Sketches into Realistic Images: Leveraging Machine Learning and Image Processing for Enhanced Architectural Visualization
    (Sakarya University, 2023) Karadağ İ.
    This article presents a novel approach for transforming architectural sketches into realistic images through the utilization of machine learning and image processing techniques. The proposed method leverages the Stable Diffusion model, a deep learning framework specifically designed for text-to-image generation. By integrating image processing algorithms into the workflow, the model gains a better understanding of the input sketches, resulting in visually coherent and meaningful output images. The study explores the application of the Stable Diffusion model in the context of architectural design, showcasing its potential to enhance the visualization process and support designers in generating accurate and compelling representations. The efficacy of the method is evaluated through qualitative assessment, demonstrating its effectiveness in bridging the gap between initial sketches and photorealistic renderings. This research contributes to the growing body of knowledge on the integration of machine learning and image processing in architecture, providing insights and practical implications for architects, design professionals and researchers in the field. © 2023, Sakarya University. All rights reserved.