WoS İndeksli Yayınlar Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.12573/394
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Browsing WoS İndeksli Yayınlar Koleksiyonu by Publication Category "Kitap Bölümü - Uluslararası"
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bookpart.listelement.badge Developing New Empirical Formulae for the Resilient Modulus of Fine-Grained Subgrade Soils Using a Large Long-Term Pavement Performance Dataset and Artificial Neural Network Approach(SAGE Publications Ltd, 2022) Fedakar, Halil Ibrahim; 0000-0002-7561-5363; AGÜ, Mühendislik Fakültesi, İnşaat Mühendisliği Bölümü; Fedakar, Halil IbrahimArtificial neural network (ANN) has been successfully used for developing prediction models for resilient modulus (Mr). However, no reliable Mr formula derived from these models has been proposed in previous studies, although engineers/ researchers need empirical formulae for hand calculation of Mr. Therefore, this study aimed to propose reliable empirical formulae for the Mr of fine-grained soils using ANN. For this purpose, thousands of ANN models were developed using the long-term pavement performance (LTPP) and external datasets. The input parameters were the percentage of soil particles passing through #200 sieve (P200), silt percentage (SP), clay percentage (CP), liquid limit (LL), plasticity index (PI), maximum dry density ([rdry]max), optimum moisture content (wopt), confining pressure (sc), and nominal maximum axial stress (sz). The ANN models were compared with several constitutive models. The results indicate that the constitutive models failed to predict the Mr, and the best Mr predictions were obtained by the ANN-C9 (P200, SP, CP, LL, PI, sc, and sz), ANN-C10 (P200, SP, CP, [rdry]max, wopt, sc, and sz), and ANN-C11 (P200, SP, CP, LL, PI, [rdry]max, wopt, sc, and sz) models. Thus, the structures of these ANN models were formulated and proposed as the new empirical formulae for the Mr of fine-grained soils. Sensitivity analysis was also performed on these ANN models. It was determined that (rdry)max is the most influential parameter in the ANN-C10 model, and LL is the most influential parameter in the ANN-C9 and ANN-C11 models. On the other hand, sc and sz are the least influential parameters.conferenceobject.listelement.badge The Implementation of the 4+4+4 Educational Policy in Turkey: Reflections from English Classrooms(SPRINGER, 2023) Birdal, Tuğba; Vural, Seniye; 0000-0002-9460-3173; AGÜ, Yabancı Diller Yüksekokulu, Yabancı Dilleri Bölümü; Birdal, TuğbaLowering the age of English instruction has been a common language policy of many countries in response to the global status of English, as well as the benefits of learning a foreign language at a younger age. However, how congruent the policies are with actual implementations is a crucial question. That being the case, the purpose of this study was to investigate the training backgrounds, perceived pedagogical weaknesses, needs, frequent classroom practices, and challenges of primary school English teachers in Turkey after a policy change that lowered the beginning age of English instruction from 4th grade to 2nd grade. Qualitative and quantitative data were collected via questionnaires and semi-structured interviews based on a mixed-methods research design. The results indicate that most teachers express needs for their everyday classroom practices, such as games, songs, and materials, whereas theoretical or cultural constructs are of secondary importance to them. In addition, the policy change entails modifications in the curricula of teacher education programs.bookpart.listelement.badge Most Up-to-Date Methodologic Approaches: Evidence from the Wavelet Coherence Approach(ACADEMIC PRESS LTD-ELSEVIER SCIENCE LTD, 125 LONDON WALL, LONDON EC2Y 5AS, ENGLAND, 2019) Bilgili, Faik; Mugaloglu, Erhan; Kuskaya, Sevda; Baglitas, H. Hilal; Gencoglu, Pelin; 0000-0003-4527-5713; 0000-0001-5362-6259; 0000-0003-4138-6897; AGÜ, Yönetim Bilimleri Fakültesi, Ekonomi BölümüENVIRONMENTAL KUZNETS CURVE; CARBON-DIOXIDE EMISSIONS; RENEWABLE ENERGY-CONSUMPTION; PANEL COINTEGRATION ANALYSIS; BOUNDS TESTING APPROACH; ECONOMIC-GROWTH; CO2 EMISSIONS; ECOLOGICAL FOOTPRINT; ELECTRICITY CONSUMPTION; FINANCIAL DEVELOPMENTbookpart.listelement.badge Properties of concrete with high-volume pozzolans(ELSEVIER, 2013) Uzal, Burak; 0000-0002-3810-7263; AGÜ, Mühendislik Fakültesi, İnşaat Mühendisliği Bölümü; Uzal, BurakThis chapter focuses on the materials and properties of high-volume natural pozzolan (HVNP) concrete. The characteristics of natural pozzolans used in high-volume pozzolan mixtures are discussed, together with the fresh and hardened properties of HVNP cementitious systems, their hydration characteristics and their microstructures.bookpart.listelement.badge Sustainable new product development(EDWARD ELGAR PUBLISHING LTD, THE LYPIATTS, 15 LANSDOWN RD, CHELTENHAM GL50 2JA, GLOS, ENGLAND, 2018) Genc, Ebru; Di Benedetto, C. Anthony; AGÜ, Yönetim Bilimleri Fakültesi, İşletme BölümüSustainable new product development