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Urban Canvas: A Comparative Study of Mural Art as a Symbol of Public Space Through the Examples of Yeldeğirmeni in Istanbul and Grenoble in France
No full textKamusal mekan, toplumsal iletişimin sağlandığı; kültürel, sosyal ve politik konuların o toplumdaki dinamiklerin meydana gelmesini sağlayan mekanlardır. Kent içindeki anlamı fiziksel yapısından çok topluma ve tarihe etkileri üzerinden değerlendirilen kamusal mekanlar, orada yaşayan insanların bağlarını, kent kimliğini ve kültürel ifadelerini şekillendiren mekanlardır. Birçok farklı toplumsal grubun bir arada bulunduğu ve kent hafızasına zenginlik katan faaliyetlerin gerçekleştiği bu alanlar kamusal sanat etkinlikleriyle farklı anlamlar kazanmaktadır. Katılımcıların özgürce dahil olduğu, birbirleriyle kültürel ve sosyal anlamda iletişime geçtikleri bu etkinlikler kent kimliğinin oluşması, dönüşmesi veya zenginleşmesi açısından önemli bir faktördür. Gerçekleştikleri yerin tarihi, kültürü ve politik geçmişi hakkında izler taşıyabilen veya tamamen bir kenti daha görünür kılmak amacıyla yapılabilen sanat etkinlikleridir. Bu tez kamusal mekanların, kamusal sanat etkinliği olan Mural Sanatı üzerinden nasıl dönüştüğünü incelemektedir. Kamusal alanlarda bir ifade biçimi olarak karşımıza çıkan bu sanat türü birbirinden farklı kültürel ve coğrafi bölgelerin dönüşümleri üzerinde de farklı etkilere sahiptir. Bu doğrultuda, Yeldeğirmeni Mahallesi (İstanbul, Türkiye) ve Grenoble (Fransa) Şehri üzerinden Mural Sanatı'nın kentsel mekana ve hatta kente etkileri derinlemesine araştırılmıştır. Yeldeğirmeni Mahallesi, İstanbul şehrinde yer alan, tarihi geçmişinde birçok kültürün bir arada yaşadığı günümüzde de yine farklı gruplar tarafından ortak bir etkiyle şekillenen bir yerleşim alanıdır. Yerel politikalar aracılığıyla Mural Sanatı'yla tanışan mahallenin fiziksel ve sosyal yapısı bu duvar resimlerinden sonra tekrar dönüşmeye başlamıştır. Mural sanatı hem mahallenin dönüşümüne neden olan hem de mahallenin kültür yapısı hakkında bilgi veren bir sembol haline gelmiştir. Genoble Şehri ise Fransa'nın güneyinde bulunan sanayi geçmişiyle bilinen bir şehirdir. Kenti görünür kılmak için başlatılan ve Belediye destekli olan sokak sanatı festivalleri başladığı günden itibaren kentin ve kamusal alanların dönüşümüne neden olmuştur. Mural sanatı başta olmak üzere birçok kamusal sanat pratiği bulunan bu festivallerin kente ekonomik, sosyal, politik ve kültürel etkileri olmuştur. Mural sanatının Yeldeğirmeni ve Grenoble örnekleriyle, kentsel ve kültürel dönüşüm, toplumsal iletişim konuları üzerindeki rolünü tanımlayarak, bu sanat türünün kamusal alanın anlamını nasıl şekillendirdiğine dair karşılaştırmalı bir analiz sunacaktır. Sanat etkinlikleriyle kamusal mekanın etkileşime girmesiyle, toplumun fiziksel ve sosyal yapısının değişiminin incelenmesi ve buna yönelik bir bakış açısı sunmak hedeflenmiştir. Anahtar Sözcükler: Kamusal mekan, Kamusal sanat, Sokak sanatı, Mural, Duvar sanatı, Karşı - kamusal alanPublic space is a place where social communication occurs; it is a space where cultural, social, and political issues contribute to the dynamics of that society. Public spaces within a city are evaluated not based on their physical structure, but on their effects on society and history. These spaces shape the bonds of the people living there, the urban identity, and cultural expressions. These areas, where many different social groups coexist and activities enriching the city's memory take place, gain new meanings through public art events. These activities, where participants freely engage with one another and communicate culturally and socially, are an important factor in the formation, transformation, or enrichment of urban identity. These art events can carry traces of the place's history, culture, and political background, or they may simply aim to make a city more visible. This thesis examines how public spaces are transformed through public art events, specifically Mural Art. This art form, which appears as a mode of expression in public spaces, also has different effects on the transformations of diverse cultural and geographical regions. In this context, the effects of Mural Art on urban space and even on the city itself are deeply analyzed through the examples of Yeldeğirmeni (Istanbul, Turkey) and Grenoble (France). Yeldeğirmeni, a neighborhood in Istanbul, is a settlement area that has historically hosted many cultures and is still shaped by different groups through a shared influence today. The physical and social structure of the neighborhood, which encountered Mural Art through local policies, began to transform after the introduction of these murals. Mural art has become a symbol that both reflects the transformation of the neighborhood and informs about its cultural structure. Grenoble, on the other hand, is a city in southern France known for its industrial history. Since the initiation of street art festivals, supported by the municipality, aimed at making the city more visible, these festivals have led to the transformation of the city and public spaces. These festivals, which feature Mural Art among other public art practices, have had economic, social, political, and cultural effects on the city. With the examples of Mural Art in Yeldeğirmeni and Grenoble, this study will present a comparative analysis to the role of Mural Art in urban and cultural transformation and social communication, and how this art form shapes the meaning of public space. The aim is to provide a perspective on how the interaction between art events and public spaces contributes to the physical and social changes in society. Keywords: Public Space, Public Art, Street Art, Mural, Wall Art, Counter Public Spac
An Empirical Study on Performance Comparisons of Different Types of DevOps Team Formations
No full textIntroduction Despite all the efforts to successfully implement DevOps practices, principles, and cultural change, there is still a lack of understanding on how DevOps team structure formation and performance differences are related. The lack of a ground truth for DevOps team structure formation and performance has become a persistent and relevant problem for companies and researchers.Methods In this study, we propose a framework for DevOps team Formation-Performance and conduct a survey to examine the relationships between team formations and performance with the five metrics we identified, two of which are novel. We conducted an empirical study using a survey to gather data. We employed targeted outreach on a social media platform along via a snowball sampling and sent 380 messages to DevOps professionals worldwide. This approach resulted in 122 positive responses and 105 completed surveys, achieving a 69.7% response rate from those who agreed to participate.Results The research shows that implementing the DevOps methodology enhances team efficiency across various team structures, with the sole exception of "Separate Development and Operation teams with limited collaboration". Moreover, the study reveals that all teams experienced improvements in Repair/Recovery performance metric following DevOps adoption. Notably, the "Separate Development and Operation teams with high collaboration" formation emerged as the top performer in the key metrics, including Deployment Frequency, Number of Incidents, and Number of Failures/Service Interruptions. The analysis further indicates that different DevOps organizational formations do not significantly impact Lead Time, Repair/Recovery, and Number of Failures/Service Interruptions in terms of goal achievement. However, a statistically significant disparity was observed between "Separate Development and Operation teams with high collaboration" and "A single team formation" regarding the Deployment Frequency goal achievement percentage.Discussion The analysis confirms that DevOps adoption improves performance across most team formations, with the exception of "Separate Development and Operation teams with limited collaboration" (TeamType1), which shows significant improvement only in Mean Time to Recovery (MTTR). Standardized effect size calculations (Cohen's d) reveal that TeamType2 ("Separate Development and Operation teams with high collaboration") consistently achieves large effects in Deployment Frequency (DF), Number of Incidents (NoI), and Number of Failures/Service Interruptions (NoF/NoSI), while TeamType3 shows strong results for Lead Time (LT) and NoF/NoSI. MTTR improvements are large across all formations, with TeamType4 performing best in this metric. These findings suggest that collaboration intensity is a critical determinant of performance gains. While team formation type does not significantly influence LT, MTTR, or NoF/NoSI goal achievement, DF goal achievement is significantly higher for TeamType2 compared to TeamType4, highlighting the potential competitive advantage of high-collaboration structures
A Reinforcement Learning Based Approach to Solve Voltage Issues in Distribution Networks
No full textThis paper proposes a Proximal Policy Optimization (PPO)-based reinforcement learning approach to solve over-voltage problem in power distribution networks. The approach aims to minimize the voltage deviations and to keep voltage magnitudes in the allowed ranges. The numerical simulations are performed on a modified unbalanced 123 node network. The modified test system includes a total number of 34 single phase Photovoltaics (200 kVA) connected to three phases. We modified the base case load profile based on real-world daily variations obtained from EPIAS. The PV generation profile was modeled according to a typical sunny day. Using OpenDSS and Python, we implemented PPO-based RL to optimize the setpoints of smart inverters and voltage regulators. The model was trained with load and solar profiles at 09:00, 12:00, and 16:00 to derive optimal voltage regulation strategies for these time points. From the simulation results, we observed that the proposed PPO-based RL approach significantly reduces voltage deviations across all phases, which may help efficient operation of the distribution networks
What Emotions Trigger the Perceived Destination Image and Word-of Recommendation in World Heritage Sites
No full textThis study identifies what emotions trigger the tourism destination's perceived image and affect the word-of-mouth recommendation of World Heritage Sites. We used PLS-SEM and Multigroup Analysis. Data were collected from 271 tourists visiting Porto City, Portugal. Results show that not all emotions affect the destination's image. Deeper feelings require more time at the destination. Multigroup analysis indicated that the length of stay enhances the impact of emotional response on the perceived image of both positive and negative emotions. However, the number of repeat visits did not change the emotional response. Our results challenge the conventional wisdom in the field but underscore the dynamic nature of visitor-destination relationships. The findings reinforce the potential of emotional attachment to generate an emotional response that can influence visitor engagement. Destination managers can use these findings to optimize market positioning, improving both the destination image and enhancing positive word-of-mouth.Research Unit on Governance, Competitiveness and Public Policies of Aveiro University [(UIDB/04058/2020) + (UIDP/04058/2020)]; Brazilian National Council for Scientific and Technological Development (CNPq); CAPES Foundation - Productivity Grant [307536/2021-1]This work was supported by Research Unit on Governance, Competitiveness and Public Policies of Aveiro University (UIDB/04058/2020) + (UIDP/04058/2020), Brazilian National Council for Scientific and Technological Development (CNPq) and CAPES Foundation - Productivity Grant Nr (307536/2021-1).Social Science Citation Inde
Investigation of Novel Nimesulide Derivatives Against Breast Cancer
No full textThis study focused on the synthesis of novel nimesulide semicarbazone derivatives and the evaluation of their cytotoxic potential against luminal-A (MCF-7) and triple-negative (MDA-MB-231) breast cancer cell lines. Additionally, their effects on mitochondrial membrane potential (MMP), apoptosis, and mitogen-activated protein kinase (MAPK) pathway modulation were investigated. Breast cancer remains the most prevalent malignancy among women, with luminal-A and triple-negative subtypes posing significant therapeutic challenges due to drug resistance and the lack of effective targeted treatments. The MAPK pathway plays a crucial role in breast cancer progression, making its inhibition a promising therapeutic approach. Non-steroidal anti-inflammatory drugs (NSAIDs), particularly nimesulide, have demonstrated anticancer potential beyond their well-established anti-inflammatory properties. Accordingly, the semicarbazone moiety was incorporated into the molecular scaffold to enhance the antiproliferative efficacy of nimesulide derivatives, as it has been reported to exhibit cytotoxic and apoptosis-inducing effects across various cancer cell lines. A series of nimesulide semicarbazone derivatives (5a-m) were synthesized through multi-step reactions and characterized using elemental analysis, FT-IR, 1H NMR, 13C NMR and Mass spectroscopy (5e). In silico studies were performed to predict their binding affinities to MAPK12. The cytotoxic effects of the synthesized compounds were assessed by determining IC50 values in MCF-7 and MDA-MB-231 cell lines (CCK8 test). Compounds exhibiting strong cytotoxic activity were further examined for their impact on MMP depolarization (JC-1 assay), apoptosis induction (Annexin V-FITC/PI staining), and MAPK pathway modulation (Western blotting of p-ERK and ERK protein). Molecular docking results indicated that the synthesized compounds exhibited favorable interactions with MAPK12, with compound 5e showing one of the highest binding affinity (-9.29 kcal/mol, Ki = 0.154 mu M). Cytotoxicity assays revealed that compound 5e had the lowest IC50 values (11.77 +/- 0.26 mu M in MCF-7; 20.72 +/- 0.25 mu M in MDA-MB-231), demonstrating significantly higher cytotoxicity than nimesulide. JC-1 assays confirmed that compound 5e induced MMP depolarization at higher concentrations, suggesting apoptosis activation. Flow cytometry analysis further validated a substantial increase in apoptotic cell populations following treatment with compound 5e. Western blot results showed a dose-dependent decrease in p-ERK levels in both MCF-7 and MDA-MB-231 cells, confirming MAPK pathway inhibition. These findings support that nimesulide-based semicarbazones, particularly compound 5e, exhibit potent antiproliferative and pro-apoptotic activity via MAPK pathway modulation, offering a promising avenue for the development of targeted breast cancer therapies.Scientific Research Projects Commision of Bahcesehir University (BAU) [BAP.2022-02.52]This study was supported by Scientific Research Projects Commision of Bahcesehir University (BAU), project number is BAP.2022-02.52. Starting compound, Nimesulid; was obtained from Deva Ilac San. Tic. A. S
A New Design of Arithmetic and Logic Unit for Enhancing the Security of Future Internet of Things Devices Using Quantum-Dot Technology
No full textThe Internet of Things (IoT) is a network of interconnected devices that collect, monitor, analyze, and exchange data. This technology plays a crucial role in the smart city infrastructure by seamlessly interconnecting various nodes. The extensive application and recognition of IoT across multiple city domains, such as healthcare, transportation, energy, education, and agriculture, bring significant challenges, with security among the most pressing. Traditional hardware technologies like Complementary Metal Oxide Semiconductor (CMOS) and Very Large Scale Integration (VLSI) suffer from limitations such as high power consumption and insufficient scalability, which hinder secure and sustainable IoT deployment. Such limitations have prompted the need to seek other technologies that would serve the dual purpose of providing security as well as energy. Quantum-based technologies can become adequate candidates offering promising solutions to make IoT devices and sustainable systems more secured. Quantum-dot Cellular Automata (QCA) has been proposed as a nanotechnology with the potential of consuming ultra-low powers, less area, and high-speed operation. QCA enhances security through sustainable computing objectives by minimizing energy usage. To improve the future security and efficiency of IoT hardware, this paper suggests a QCA-based Arithmetic Logic Unit (ALU). This ALU can generate more than 12 logical and arithmetic operations. Designed together with the majority gates, XOR gates, multiplexers, and full adders, the ALU is simulated using the QCA-Designer 2.0.3. Simulated results indicate improvements in the number of cells and reduced occupied area relative to the earlier designs. These results indicate the potential of QCA technology in enabling secure, energy-efficient, and compact computing architecture applicable in the future IoT
Verbal Harassment Detection in Online Games Using Machine Learning Methods
No full textVideo games have been an inseparable aspect for many throughout their upbringing. The widespread adoption of the internet in the early 2000s has brought video games from the traditional offline media to the online environment. Consequently, people from different parts of the world can play together and communicate in-game with each other. Nowadays, most massively multiplayer online games (MMOs) incorporate voice communication features. Playing video games online with a certain degree of anonymity, along with the ability to verbally communicate with each other, has proven to be a dangerous combination that can breed toxic and abusive behaviors if left unmoderated. This paper proposes a new approach to integrating Whisper, a pre-trained automatic speech recognition (ASR) model, with the well-researched topic of text-based abusive behavior detection. Our proposed verbal harassment detection pipelines yielded an average F-score of 0.899 for all variants tested.CyberMACS; European Commission; European Union [101082683]Our research is funded by CyberMACS, an applied master's degree program in cybersecurity, approved and supported by the European Commission, European Union Grant Agreement Number 101082683
A Methodological Approach to the Computational Problems in the Estimation of Adjusted PIN Model
No full textIt is well documented that computational problems may lead to large biases in the estimation of probability of informed trading (PIN) models. The complexity of the AdjPIN model [Duarte, J. and Young, L., Why is PIN priced? J. Financ. Econ., 2009, 91, 119–138.], an extension of the conventional PIN model, exacerbates further these computational issues due to its larger parameter set. We introduce a dual approach to improve estimation reliability: a logarithmic factorization of the likelihood function and a strategic algorithm for generating initial parameter sets. The logarithmic factorization addresses floating point exceptions and numerical instability, while the algorithm significantly reduces the likelihood of converging to local maxima. We show that our methodology outperforms existing best practices and it enables accurate estimation of the AdjPIN model. We, therefore, strongly suggest its use in future studies. © 2025 Informa UK Limited, trading as Taylor & Francis Group.Science Citation Index Expanded - Social Science Citation Inde
Kuvvetli Yer Hareketi Sinyallerinin Difüzyon Modelleri Yoluyla Yaratımı ve Analizi
No full textThis study examines the potential of Denoising Diffusion Probabilistic Models in earthquake engineering to generate seismic signals and learn deep representations. The complex nature of seismic data and its noise are major obstacles that hinder the extraction of meaningful features. Traditional supervised learning methods are limited in their generalization capacity due to their dependence on labeled data. Diffusion models, however, promise to overcome these limitations by generating conditional seismic signals and enhancing the reliability of early warning systems. This study aims to demonstrate how diffusion-based methods contribute to earthquake engineering and propose an approach for seismic data analysis and detection of the P-wave arrival time. The obtained results show that the model can grasp certain patterns; however, larger-scale datasets are needed for more realistic signal generation and a deeper understanding of seismic features
Toplu İş Sözleşmesi Yetkisine İtiraz Davasının Toplu Sözleşme Hakkını Ortadan Kaldıran 'Yapısal Soruna' Dönüşmesi
No full textHukuk sistemimizde hem toplu pazarlık ve toplu sözleşme hakkı, batı ülkelerine kıyasla çok daha geç kabul edilmiş, hem de yasal düzenlemelerle sendika özgürlüğünün önce yasaklamaya, sonra da kısıtlamalara maruz bırakılmış olması nedeniyle güçlü bir sendikal örgütlenme ve toplu pazarlık uygulaması gelişememiştir. Ülkemizde toplu sözleşme hakkının etkili şekilde kullanılamamasının, yasal düzenlemeden ve sistemin işleyişinden kaynaklı gerekçeleri arasında, Anayasa Mahkemesinin de yapısal sorun olarak nitelendirerek tespit ettiği yetki itiraz sürecinin makul sürede çözüme kavuşturulamaması da bulunmaktadır. Yetki itiraz sürecinin yıllar süren çözümsüzlüğe neden olması, işçilerin toplu sözleşme hakkından ve bir bütün olarak sendika hakkından yararlanamamaları sonucunu doğurmaktadır. Bu nedenle bu incelemede, toplu iş sözleşmesi yetki sistemi, Anayasa Mahkemesinin yapısal sorunu tespit ettiği kararı ışığında değerlendirme konusu yapılmıştır. Toplu sözleşmeden yararlanabilen işçi oranlarının yüksek olduğu etkili bir toplu sözleşme sisteminin oluşturulabilmesi için, temsil gücüne sahip sendika(lar)ın belirlenmesinde alternatif ölçütlerin benimsenmesi; toplu pazarlığa, özerklik ilkesine uygun bir yaklaşım sergilenerek yetki meselesinin kamu makamlarının vesayetine terk edilmemesi üzerinde durulmuş ve esasında işkolunun tespitinden, toplu sözleşme düzeyine ve yetkisine kadar toplu pazarlık ve toplu iş sözleşmesi sisteminin bütününe yönelik yeni bir model geliştirilmesi ihtiyacına dikkat çekilmiştir