WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Permanent URI for this collectionhttps://hdl.handle.net/11147/7150

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  • Conference Object
    The Semantic Categories in Teaching "If Clauses" in ESL Classes
    (Elsevier Science Bv, 2011) Bezircilioglu, Sinem
    For many second language learners, learning the target language is supposed to be identical with the mastery of the grammar of that language. When we say "the mastery of the grammar", we refer to the mastery of rules which revolve around the structure of the language. The problem arises at that point, actually. In this paper, this problem is going to be dwelled upon analysing a language item. As a matter of fact, this language item can be regarded as a symbol of the problem mentioned above. This language item is "if clauses". "If clauses" are not so easy to cope with since they require a mastery of some structure accompanied with an appropriate situation. The problem arises here, because a clear-cut distinction between the types and usage are not always possible. We ought not to forget that grammar is not the fundamental of the target language, which consists of the finely tuned structural prescriptions only. Language is meaningful as long as it is contextualized. We cannot take over the use of language if it is presented in isolated exercises having a meaningful context. Comprehensive exercises are essential to teach "if clauses". In conclusion, in this paper I intend to suggest a semantic classification of "if clauses" so as to avoid overgeneralization which is a result of the classification of "if clauses" structurally. Making this suggestion, I would like to support it with examples from the works of literature as well. If the classification of the language item in question is made semantically, the comprehension of the subject "if clauses" will be much better. (c) 2011 Published by Elsevier Ltd. Open access under CC BY-NC-ND license.
  • Article
    Developing Examination Scheduling Automation System by Using Evolutionary Computing Technique
    (Pamukkale Univ, 2012) Yaldir, Abdulkadir; Baysal, Ceyda
    In this study, manually (paperwork) and periodically prepared exam scheduling applications at universities have been taken into a computer automation system by developing a software solution. In the software developed by the authors, Evolutionary Algorithm method has been applied and university administration's specific improvement requests have also been taken into consideration while developing the software. The developed software has two parts: First part is about collecting data through the web application, and the second part is the application project, which calculates the final scheduling results. By utilizing the software, a considerable amount of time lost by manually preparing exam schedules will be saved. In addition, with the real-time connection to the student automation system database, numerous problems will be vanished, i.e. students/classes exam scheduling conflicts, etc. In the study, tables added to the current student automation system database have been explained. Additionally, by applying the genetic algorithm methods to the various parts of data have been examined along with the constraints used in the application, which are essential parts of the software. User interfaces have been designed with their sample instances. Finally, exam-scheduling table has been created and an example output of the schedule has been generated in the study.
  • Review
    Domestic Devotions in the Early Modern World
    (Univ Art Assoc Canada, 2020) Andersen, Angela; Gunduz, Can
  • Article
    A Cross-Domain Systematic Review on Guest Speakers in Higher Education: Reconsidering the Role of "outsiders" in Architecture Education
    (Yildiz Technical Univ, Fac Architecture, 2024) Kasali, Altug; Akış, Tonguç; Abdel-aziz, Dania
    Guest speaker events, as a form of instructional strategy in higher education settings, has long been recognized as a valid pedagogical method, whereas the factors that either promote or hinder the efficacy of this strategy in architecture education has not been extensively investigated. Accordingly, this paper presents a cross-domain literature review on the topic. The findings of the review have led to a discussion on guest speakers in design studios as an effective manifestation of inquiry-based learning (IBL). By searching 8 databases using the PICO framework, a systematic literature review was conducted to an in-depth examination of 35 articles across 25 domains in higher education, followed by a thematic analysis considering Braun and Clarke’s approach. The interpretive analysis yielded six themes: (1) bridging academia and practice, (2) speaker selection, (3) event planning, (4) content and format, (5) interaction mode, and (6) students’ preferences. While incorporating guest speakers can enhance student engagement, critical thinking, and networking, successful implementation hinges on addressing several factors such as the role of instructors’ guidance and tailoring topics and guest speakers’ selection with students' levels. Students' engagement with guest speakers in exploring content, issues, real-world perspectives and questions aligns with experiential learning and IBL principles. The study underscores the need for additional research in architecture education to understand students’ and instructors’ perceptions, concerning the role of guest speakers particularly on issues like contributions to learning, influence on design approaches and the implications for developing collaborative pedagogical practices.
  • Article
    Exploring Zipf's Law and Population Density Patterns in Metropolitan İstanbul's Neighborhoods: a Spatial Insight
    (Yildiz Technical Univ, Fac Architecture, 2024) Kose, Suheda; Erenler, Damla
    Most studies on size distributions focus on examining rank-size distributions at urban or regional scale, but they often overlook their spatial dependencies, distributions, and neighboring relationships. This study aims to test Zipf 's Law at the neighborhood scale of Metropolitan Istanbul, analyze its spatial dependencies, and investigate their spatial behavioral patterns in urban areas over the past decade. Initially, we found that Zipf 's Law is not valid at the neighborhood scale of Istanbul. Secondly, we identified significant spatial dependencies in neighborhood population densities, observed clustering of high- and low-density neighborhoods in different locations, and detected their influences from adjacent neighborhood densities. Thirdly, we observed that population dynamics are directly affected by urban policies. Based on these findings, when spatial dependencies are considered as essential factors and analyzed in detail at lower scales, population density can provide preliminary insight into the social, economic, and political processes occurring in the city.
  • Article
    Housing Instability and Roma Children's Educational Engagement: Perspectives From Teachers and Volunteers
    (Istanbul Univ, Fac Letters, dept Sociology, 2024) Uştuk, Ozan
    Inequalities experienced by the Roma remain a complex challenge, particularly in education. Despite various initiatives, their impact on the Roma communities’ daily lives has been limited. This article is based on applied research aimed at reducing early school-leaving rates among Roma children in Türkiye. The study highlights that the high rates of early school leaving cannot be fully understood without considering the profound impact of housing instability on their educational experiences. By exploring the intersection of educational challenges and housing insecurity through the perspectives of elementary school teachers, preschool teachers, and volunteering university students engaged with a Roma community, the findings reveal that the constant threat of displacement and inadequate living conditions severely disrupt educational engagement, undermining the stability necessary for academic success. However, these perspectives also expose critical gaps in understanding, particularly among educators who often overlook the significance of housing insecurity in shaping educational outcomes. By situating these challenges within the broader context of systemic housing issues, this research underscores the need for comprehensive, community-based interventions that address the root causes of educational inequities among Roma students. The study advocates for a holistic approach to educational equity—one that addresses both the material and psychological dimensions of housing insecurity, thereby creating pathways for genuine social mobility and inclusion for Roma children.
  • Article
    Ai-Assisted Survival Prediction in Colorectal Cancer: a Clinical Decision Support Tool
    (Dokuz Eylul Univ inst Health Sciences, 2024) Misirlioglu, Huseyin Koray; Leblebici, Asim; Calibasi-Kocal, Gizem; Ellidokuz, Hulya; Basbinar, Yasemin
    Purpose: This study was planned to determine the problems and affecting factors that children encounter Purpose: Colorectal cancer (CRC) is a leading cause of cancer-related mortality worldwide. Accurate survival prediction is crucial for advanced-stage patients to optimize treatment strategies and improve clinical outcomes. This study aimed to develop an artificial intelligence-assisted clinical decision support system (CDSS) for survival prediction in CRC patients using clinical and genomic data from the Cancer Genome Atlas Colon Adenocarcinoma Collection (TCGA-COAD) dataset. Methods: Machine learning algorithms, including C4.5 Decision Tree, Support Vector Machines (SVM), Random Forest, and Naive Bayes, were employed to create survival prediction models. Clinical parameters and genomic data from key pathways, such as glycolysis/gluconeogenesis and mTORC1, were integrated into the models. The models were evaluated based on accuracy and performance. Results: The Random Forest algorithm achieved the highest accuracy (82.3%) when only clinical parameters were used. When clinical data were combined with gene expression data, the model's accuracy increased further. The resulting models were incorporated into a user-friendly web interface, SurvCOCA, for clinical use. Conclusions: This study demonstrates the potential of AI-based tools to improve prognosis predictions in CRC patients. Further research is needed, with larger datasets and additional machine learning algorithms, to enhance clinical decision-making and optimize treatment strategies.
  • Article
    İzmir’in Toplu Ulaşım Sisteminin Doğrusal Programlama ve Duyarlılık Analizi Aracılığıyla Optimizasyonu
    (Pamukkale Univ, 2024) Görgülü, Çağla; Görgülü, Lale; Duvarcı, Yavuz
    Bu çalışma, enerji tüketimi, seyahat süresi ve ulaşım ücreti perspektiflerinden toplu ulaşım problemlerine odaklanmaktadır. Çalışmanın amacı İzmir örneğinde görülen benzer ulaşım sorunlarına yönelik güzergâh açısından karşılaştırılabilir olan tramvay ve otobüs sistemleri için en iyi çözümleri sunmaktır. Ayrıca, bu çalışma farklı ulaşım tipleri arasındaki bütünleşme konusuna dikkat çekmektedir. Çalışmada kullanılan yöntemler doğrusal programlama ve duyarlılık analizidir. Bu çalışma için hem tramvay hem de otobüs hattına sahip dokuz rota belirlenmiştir. Hangi ulaşım tipinin daha uygun veya kullanışlı olduğunu, bunların olumsuz ve olumlu sonuçlarının neler olduğunu ve hangisinin çevre dostu ve yolcu bütçesine dost olduğunu incelemek üzere aynı aktarma noktalarını paylaşan rotalar seçilmiştir. Doğrusal programlama Microsoft Excel® yazılımının bir uzantısı olan çözücü aracıyla gerçekleştirilmiştir. İlk olarak, amaç fonksiyonları en küçük enerji tüketimi, en küçük rota uzunluğu ve en küçük yolcu ücreti olarak tanımlanmıştır. Elde edilen enerji tüketimi, hız ve yolcu hacmi verileri optimizasyonların kısıtlarıdır. Son olarak, bulgular duyarlılık analizi aracılığıyla değerlendirilmiştir. Hem yolcular hem ulaşım işletmecileri için otobüs ve tramvay seçenekli en iyi sonuçlar tespit edilmiştir. En uygun rotalar Fahrettin Altay-Alsancak, Fahrettin Altay-Halkapınar, Mavişehir-Bostanlı ve Egekent-Bostanlı rotalarıdır. Bu çalışma, ulaşım maliyet matrisinin yanı sıra seyahat süresi matrisini kullanarak literatüre katkı sağlamaktadır. Böylece, bu araştırma sadece mali amaçlara değil, çevresel ve sosyal amaçlara da hizmet etmektedir.
  • Article
    Citation - WoS: 1
    GIS-AHP APPROACH FOR A COMPREHENSIVE FRAMEWORK TO DETERMINE THE SUITABLE REGIONS FOR GEOTHERMAL POWER PLANTS IN IZMIR, TURKIYE
    (Konya Teknik Univ, 2024) Koca, Kemal; Karipoglu, Fatih; Ozturk, Emel Zeray
    Geothermal energy is gaining more reputation and importance around the world. Correspondingly, suitable location selection is a critical step and has become necessary for the successful installation and operation of geothermal power plants. This study investigated suitability of & Idot;zmir region, located in the Aegean part of T & uuml;rkiye, in terms of geothermal power plants applications by using the combination of Geographical Information System and Analytic Hierarchy Process. Based on the request of power plants, thirteen important criteria were evaluated under three main categories named as physical (C1), environmental (C2) and technical (C3). Moreover, expert's opinions were taken into consideration to calculate the importance of these criteria. Key results showed that & Idot;zmir was suitable for geothermal power plants. The final suitability map layer pointed out that %8.73 (1.037 km2) of total area were determined as highly suitable regions in terms of installation. In addition, the obtained suitability map layer was compared with actual geothermal power plants. Based on the comparison study, power plants in Seferihisar were moderately suitable for geothermal power plants while the location of Bal & ccedil;ova power plant was highly suitable. Regarding the suitability assessment in the present study, the location of Dikili power plants had the least suitability score.
  • Conference Object
    Citation - WoS: 1
    Investigation of the Effect of Using Geogrids on the Performance of the Road in Pavements Constructed With Reduced Layer Thicknesses
    (Crc Press-taylor & Francis Group, 2024) Terzi, S.; Saltan, M.; Gokova, S.; Erkmen, F.; Tutumluer, E.; Karasahin, M.; Yalcin, E.
    In this study, the structural performance of road pavements with reduced layer thicknesses at different rates using geogrids was examined, and the benefits of geogrids in preventing rutting were investigated. Within the scope of the study, a total of 16 test sections of 50 meters in length, 12 with geogrids and four without geogrids, were constructed on the Adana - Kozan road determined by the General Directorate of Highways of Turkey (KGM). The constructed sections were divided into two, and besides the reference sections, two types of geogrids with different geometric structures were used in successive sections. Some layer thicknesses used in the study were determined following the specification, and the other part was determined through a pavement design program. In addition, to compare the effect of using geogrids in different locations on the pavement performance in the application sections, the geogrid was used in two positions, on the subbase layer and between the base layer. Data from the load, displacement and temperature sensors placed between the layers during the construction phase and on-site Heavy Weight Deflectometer (HWD) data at certain time intervals were used to observe the structural performances of the constructed pavement sections. In addition, GPS and IRI measurements are made regularly. The traffic values of the trial section are also monitored. Examining the obtained data aims to compare the economic gain achieved by reducing the layer thicknesses, the cost to be spent for the geogrid, and to make cost-benefit analyses.