Browsing by WoS Q "N/A"

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1+1=3 Systems of Didactic Communication
(2015) Belek Leandro, Müge; Teixeira, Frederico Fialho
The construction of knowledge is a transitional element, as it is build in our minds and through empirical experience. Similarly, in order to experience space – whatever kind – one has to be present. Nonetheless as one is constantly immersed into a space, our mental space or knowledge is constantly producing new paths of connections, either consciously or unconsciously. "1+1=3 Systems of Didactic Communication" is an artwork that intensifies the question of education is not based on knowledge but rather creativity. Through a multimodal spatial experience we retraces how and why one may became influenced by creativity through a critique of education itself. Until it leaves its false paths, "1+1=3" demonstrates that knowledge will remain only a wordy dialectic if it is not exerted through creativity. Through a multimodal and virtual intensity, "1+1=3" prompts that digital knowledge and creativity must be rooted in experience for education to become a genuine evolution of knowledge. And in the quest for unanswered questions, the creative dimension of human life and the importance of intuition must be emphasized. A source of enquiry for students as well as educators, 1+1=3 reveals a philosophy that is always dynamic, blending humanity’s creative drive with its mastery in knowledge goes beyond an addition of factors. 1+1=3 was on display on Istanbul Modern Vitra Contemporary Architecture Series as a work under Dream to Realities Exhibition.
18 - Acoustic and Mechanical Properties of Biofibers and Their Composites
(Elsevier, 2022) Koç, Büşra; Genç, Garip; Körük, Hasan
In this study, the acoustic and mechanical properties of many biofibers and their composites are presented. First, the sound absorption coefficients and transmission losses of commonly used natural fibers and their composites are presented, by clearly reporting the thickness of the samples, for three different frequency ranges (<500 Hz: low, 500–2000 Hz: medium, and >2000 Hz: high). In addition, the sound absorption coefficients (for low- and medium-frequency ranges) and noise reduction coefficients of some 40-cm-thick samples are overlaid in order to directly compare their performances. Second, the physical properties, such as the density, diameter, and length of biofibers, and mechanical properties, such as the damping (or loss factor) and Young’s modulus of biofibers and their composites, are presented in detail. For comparison purposes, the acoustic and mechanical properties of some conventional materials, such as carbon and glass fibers, are included in the tables and figures. Finally, the effects of some parameters, such as pretreatment, fiber diameter, fiber/matrix ratio, moisture content, manufacturing and machining parameters/techniques, and measurement conditions/methods, on the acoustic and mechanical properties of natural materials are presented. Furthermore, current applications and potential usage areas of natural fibers are briefly discussed.
19 - Identification of the Elastic and Damping Properties of Jute and Luffa Fiber-Reinforced Biocomposites
(Elsevier, 2022) Genç, Garip; Saygılı, Yusuf; Körük, Hasan; Şanlıtürk, Yusuf Kenan; Sanliturk, Kenan Y.
Although there are many studies in the literature on the static mechanical properties of biomaterials such as tensile strength, the dynamic mechanical properties of biomaterials such as modal loss factors have not been investigated in detail. In this study, the Young’s moduli and damping (or loss factors) of some jute and luffa fiber-reinforced biocomposites are investigated. The effects of fiber/resin ratio and thickness on the mechanical properties of the jute and luffa composites are identified via an experimental approach. For this purpose, acoustic and structural frequency response functions of some homogeneous and hybrid jute and luffa composite plates with different fiber/resin ratios and thicknesses are measured. By analyzing the measured frequency response functions using the circle-fit method, the modal frequencies and loss factors of the homogeneous and hybrid composite plates are determined. By assuming that the homogeneous plates are isotropic, the same plates are modeled using the finite element method, and by comparing the experimental and theoretical natural frequencies, the elastic properties of the homogeneous plates are determined. In addition, the same homogeneous plates are modeled by considering an anisotropic material model, and the associated material properties are determined. By using the identified material properties, the finite element models of the hybrid composite plates are developed, and by comparing their experimental and theoretical natural frequencies, the identified elastic material properties are evaluated and validated.
19th Eurasia Business and Economics Society Conference - Exports in Manufacturing
(2016) Karamollaoğlu, Nazlı
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2019 Yılında Türk Dış Politikasının Manevra Alanı Genişleyebilir
(BİLGESAM, 2019) Kibaroğlu, Mustafa
Bu yazımızda, Türkiye’nin ABD, Rusya, AB ve İran ile olan ilişkilerinde hassas bir denge yakalaması yoluyla, dış politika ve güvenlik konularında kendini daha avantajlı bir konuma getirmesine katkı yapabilecek siyasi, iktisadi ve askeri unsurları ele alacağız.
25 Farkındalık Dersi : Şimdi Sağlıklı Yaşama Zamanı
(Nobel Akademik Yayıncılık, 2016) Ögel, Kültegin; Atalay, Zümra; Ameli, Rezvan
"En son ne zaman bir üzümü, bir kirazı bir ısırık elmayı çok yavaş çiğnediniz ve gerçekten tadını aldınız ve kokusunu algıladınız? Elbiselerinizin kumaşının cildinizde bıraktığı hissi algılamak için ne sıklıkta zaman ayırıyorsunuz? Hiç yünün, pamuğun ve ipeğin hissettirdiği duygunun bilincine vardınız mı? Hiç tüm dikkatinizi tek bir nefes alıp vermeye odakladınız mı ve bunu başlangıcından sonuna kadar dikkatlice takip ettiniz mi? Farkındalık, mevcut anı bilinçli bir akıl ve şefkatli, açık ve sevgi dolu bir kalp ile algılamaktır. Hepimiz her bir anda gövdemizde, aklımızda ve kalbimizde nelerin olup bittiğini bilecek kapasitedeyiz ve algıladığımızı kabul etme ve bununla dost olma kapasitesine sahibiz. Farkındalık bize deneyimlerimize tam olarak katılımcı olma ve hayatı sansürsüz yaşamak için gerekli olan tüm araçları sunabilir."
2D Modeling Temperature Development of Mass Concrete Structures at Early Age
(fib. The International Federation for Structural Concrete, 2017) Yikici T.A.; Chen R.H.L.; Chen, Roger H. L.; Yikici, Tahsin Alper
In this paper, a 2D finite volume analysis methodology was used to predict temperature development within three different bridge pier caps. MATLAB® was employed to generate a program that solves the governing heat transfer equation where development of thermo-physical concrete properties was defined as a function of degree of hydration. The rate of heat generation was obtained experimentally via adiabatic calorimetry and the activation energy was determined following the ASTM C 1074 procedure to implement equivalent age concept. 2D finite volume analysis results were presented in comparison with the recorded concrete temperatures from the field. Accordingly, temperature time histories at the center and the side surface of the bridge pier caps were predicted reasonably well using the concrete mixture information and the measured concrete hydration properties. © Springer International Publishing AG 2018.
4857 Sayılı İş Kanunu Bağlamında Normali Aşan Çalışmalar
(MEF Üniversitesi, 2023) Öztürk, Kevser; Akyi̇ği̇t, Ercan
Normali aşan çalışma kavramının öğretide hem fazla sürelerle çalışmayı hem de fazla çalışmayı içeren bir üst kavram olarak kullanıldığı görülmektedir. Normali aşan çalışmalar yani fazla çalışma ve fazla sürelerle çalışma günümüzde sıkça karşılaştığımız ve çoğunlukla da birbiriyle karıştırılmakta olan kavramlardır. Fazla çalışma 4857 Sayılı İş Kanunun da yazılı koşullar çerçevesinde, haftalık 45 saati aşan çalışmalar olarak kabul edilirken, çalışma süresinin sözleşmelerle haftalık 45 saatin altında belirlendiği durumlarda sözleşmeyle saptanan sürenin üstünde ama 45 saate dek yapılan çalışmada ise fazla sürelerle çalışmadan söz edilecektir. Günümüzde artan rekabetle birlikte birçok sektörde normal çalışma süresinin üzerindeki sürelerle çalışma yapılması gündeme gelmektedir. Normal çalışma süresi üzerinde yapılan bu çalışmaların ise, işçi ve işveren açısından bazı avantajları veya dezavantajları olabilmektedir. İşçi açısından normali aşan çalışmaları karşılığında yasal orandan aşağı olmamak üzere zamlı biçimde isteğine göre serbest zaman ve/veya zamlı ücret alabilmesi, avantaj olarak görülebilmektedir. Özellikle zamlı ücret şıkkının seçilmesi halinde, ekonomik boyutu dikkate alınarak işçilerin fazla çalışmayı tercih edilebileceği söylenebilecektir. İşveren açısından ise, işçilere normali aşan biçimde çalışma yaptırmak, yeni işçi alımına gitmeden üretimin arttırılmasını sağladığından, onun ekonomik avantajının olduğu söylenebilecektir. İşçi açısından fazla çalışma ve fazla sürelerle çalışma ele alındığı zaman işçiye ekonomik avantajının yanında işçiye arka planda birçok hakkı göz ardı edildiği gözlenmiştir. Özellikle bu çalışmaya katılan işçinin sosyal hakları, ruhsal veya fiziki sağlığı, dinlenme süreleri arka planda kalan önemli birkaç haklarından biridir. Bu gibi hak kayıplarının önüne geçilmesi açısından çalışma sürelerinin kanun çerçevesinde denetlenerek gerekli görüldüğü durumlarda cezai yaptırımlarla karşılaşılması işçi açısından güven duygusunu ve çalışma istediğini arttırabileceğinden söylenebilecektir. Hak kayıplarının önüne geçilmesi noktasında işverenin yasada belirtilen sürelerin üzerinde çalışma yaptırılmasını talep etmemesi ve yasaya uygun hareket etmesi hak kayıplarının önüne geçilmesi noktasında önem arz edecektir. Bu çalışmada 4857 sayılı İş Kanunu'nda Normali aşan çalışmalar yani fazla çalışma ve fazla sürelerle çalışma kavramları 4857 Sayılı İş Kanunu ve diğer kanunlar ve ilgili yönetmelikler ışığında tarihsel gelişimi, fazla sürelerin tespiti, fazla çalışma türleri, fazla çalışma yasakları, fazla çalışma karşılığı ücret ve serbest zaman, fazla çalışmanın ispatı gibi birçok başlık ele alınarak incelenmiştir. 4857 Sayılı İş Kanunun da çalışma süreleri açısından bazı yeniliklerde ele alınarak açıklanmaya çalışılmıştır. Bu çalışma yapılırken güncel olmasına dikkat edilerek içtihatlar ve Yargıtay kararları başta olmak üzere birçok akademik bilgiye yer verilmeye çalışılmıştır.
4857 Sayılı İş Kanununda Kıdem Tazminatı
(MEF Üniversitesi Sosyal Bilimler Enstitüsü, 2019) Genç, Elif; Akyiğit, Ercan
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65 Years of Turkey-Nato Relations
(BİLGESAM, 2018) Kibaroğlu, Mustafa
Turkey-NATO Relations was analysed.
7251 Sayılı hukuk muhakemeleri kanunu ile bazı kanunlarda değişiklik yapılması hakkında kanun’un belirsiz alacak davasına dair değişikliklerinin değerlendirilmesi
(Necmettin Erbakan Üniversitesi, 2021) Yazıcı, Çiğdem
7251 sayılı Kanun’la Hukuk Muhakemeleri Kanunu’nda önemli değişiklikler yapılmıştır. Budeğişikliklerden biri de Hukuk Muhakemeleri Kanunu’nun 107. maddesinde düzenlenen “Belirsiz Alacakve Tespit Davası”na ilişkindir. Öncelikle ifade etmek gerekir ki, üçüncü fıkranın kaldırılması sebebiylemaddenin kenar başlığı artık “Belirsiz Alacak Davası” dır. Üçüncü fıkranın aldırılmasından önce dedoktrinde belirsiz alacak davasının alacaklıya yeterli hukukî koruma sağladığı, belirsiz alacak davasınınkanunda açıkça düzenlendiği bir sistemde, ayrıca belirsiz tespit davasının düzenlenmesinin yerindeolmadığı, söz konusu fıkranın kaldırılmasının yerinde olacağına ilişkin değerlendirmeler yapılmıştır.Kanun koyucu da bu değerlendirmeleri dikkate alarak 7251 sayılı Kanun’la belirsiz alacaklar için belirsiztespit davası açmakta hukukî yararın varsayıldığı üçüncü fıkrayı yürürlükten kaldırmıştır.
A Bi-Objective Traffic Signal Optimization Model for Mixed Traffic Concerning Pedestrian Delays
(Elsevier B.V., 2024) Akyol, Görkem; Çelikoğlu, Hilmi Berk; Silgu, Mehmet Ali; Goncu, Sadullah
Urban traffic networks suffer in numerous ways from traffic congestion. Some of these adverse effects are increased travel times of cars, buses, bicycle users, pedestrians etc., with the addition of excessive greenhouse gas emissions. Transportation engineers and policy makers try to improve the quality of urban transportation systems by developing projects to enhance the pedestrian experience, reduce private car usage, reduce total time spent in the network through different control strategies, and diminish the detrimental effects. In this context, this study takes Connected and Automated Vehicles (CAVs) and pedestrians into account at signal-controlled intersections. A novel intersection signal control optimization methodology that incorporates pedestrian delays and vehicular emissions from CAVs is presented. Non-dominated sorting genetic algorithm-II is utilized to solve the multiobjective optimization problem. For the emission calculations, the MOVES3 emission model is utilized. The proposed framework is tested on real-world case study. Simulation experiments showed major improvements in pedestrian delays and lower emissions. © 2024 The Authors. Published by ELSEVIER B.V.
A Bibliometric Analysis of Greenwashing and Firm Value
(2025) Öz, Merve; Alagöz, Hilal Merve; Menderes, Cansu Korkmaz
Purpose – Greenwashing, traditionally a marketing concept, has gained increasing relevance in economics, finance, accounting, and law. As a result, bibliometric analyses on greenwashing have attracted growing scholarly interest. This study conducts a bibliometric analysis of the literature on greenwashing and firm value, identifying key trends, productive countries, institutions, influential authors, and collaborative networks while examining the relationship between greenwashing and firm value. Design/methodology/approach – Data were collected from the Web of Science (WoS) database through systematic searches. The analysis includes 473 publications from 2003 to 2024 in disciplines such as environmental sciences, business, management, finance, communication, and ethics. Among these, 170 studies explicitly address both greenwashing and firm value. Results – The findings indicate a substantial increase in research output, particularly after 2020, with nearly 50 publications per year by 2023. Sustainability, performance evaluation, and transparency emerge as dominant themes. While China leads in research output, European countries exhibit higher collaboration rates. Influential authors, such as Li W and Zhang D, and leading journals, including the Journal of Business Ethics, have significantly shaped the field. Thematic developments indicate a shift from management-centered discussions to a stronger emphasis on sustainability and financial performance. Discussion – The study provides theoretical and practical insights into the impact of greenwashing on firm value, offering implications for managers, stakeholders, policymakers, and researchers. While greenwashing remains a relatively new research area, its scholarly attention is expanding rapidly. This study contributes by examining both greenwashing and its financial implications, particularly how stakeholders perceive greenwashing and its effects on firm value.
A Business Model Frame for Innovative Startups - (july 11-15, 2017)
(Global Business & Technology Association, 2017) Dorantes-Gonzalez, Dante Jorge
Current business model frames such as the Business Model Canvas and the Lean Canvas do not address aspects of open innovation, problem statement, innovative problem solving, business metrics and disruptive strategies; therefore, a novel business model frame is introduced to cover these aspects. This new model is based on a combination of key principles of the theory of inventive problem solving applied to business and management, such as multi-screen analysis of value-conflict mapping, trends of ideality of business system evolution positioning, among others; but also, intellectual property, disruptive strategies, and open innovation, as well as startup metrics to describe the business differentiation and attractiveness to potential investors, incubators and accelerators. The entrepreneur designing his/her own startup should be able to justify if not all, most of the items to be able to demonstrate the idea strengths. And regarding both building blocks “Product Formulation and Inventive Problem Solving” and “Disruption Strategy”, certain training should be necessary.
A Case Study of the Relationship Between Meaning and Formalism
(Unspecified, 2017) Aydın, Utkun
The purpose of this study was to explore the sources of mathematical ideas in terms of the relationships between meaning and formalism and their role in the transition between elementary mathematics and advanced mathematics. The two participants were high school mathematics teachers, who vary in their levels of experience. Two forms of data were collected to obtain more in-depth data about the transformations within among mathematical ideas: a questionnaire including 14 open-ended mathematical tasks and semi-structured interviews. Results indicated that individuals had different ways in constructing mathematical ideas and that their mathematical ideas were derived from the transition between meaning and formalism.
A Case Study on Churn Prediction and Understanding Customer Behavior
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018) Kıralı, Gülşen; Tönük, Gökçe
Churn prediction is essential for businesses as it helps to detect customers who have the potential to cancel a subscription to a product or service. Churn prediction techniques try to understand the certain customer behaviors and attributes which signal the risk andtiming of customer churn. Companies started to focus on retention activities more in the last years since holding current customer in the system is less costly when compared with acquiring new ones. In order to allocate costs to right customers, companies prefer to use the big part of these budget to potential churn customers which makes the accuracy of churn detection important for us. The objective of this project is to develop a machine learning algorithm that predicts potential churn customers that will not make any transactions in the following three months. While predicting churn, some customer segments and subsegments are created in order to understand the common behavior of potential churn customers. Common characteristics of loyal customers will also beinvestigated in order to determine churn prevention marketing activities for potential churn customers. Among all of the machine learning algorithm trials including Logistic Regression, Boosted Decision Tree, Support Vector Machines, Decision Forest, Decision Forest Regression and Neural Networks, Logistic Regression predicts with the highest accuracy and lowest number of False Negative which means model slightly mistaken unchurned customers.
A Comparative Analysis on the Relationship Between Institutional Environment and Entrepreneurship in Emerging Economies
(2018) Karadağ, Hande
Institutional environment plays an important role in the quality and nature of entrepreneurial activities and the development of entrepreneurship ecosystem. The aim of this research is to evaluate institutional factors of selected emerging markets with Global Entrepreneurship and Development Index data. Findings of the study indicate that Turkey has one of the lowest scores among other emerging markets for the institutional variable of staff training and also has comparably low scores in venture capital, business strategy, and technology transfer. Results of the study show that except South Korea, all the selected economies have scored low on the institutional variable of gross domestic expenditure on research and development as a percentage of the gross domestic product. The study is expected to make valuable contributions to the literature with its novel approach of using comparative Global Entrepreneurship and Development Index scores for analyzing the institutional environment and entrepreneurship relationship in emerging economies.
A Comparison of Islamic Vs Conventional Banks in Turkey
(2015) Son Turan, Semen
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A Comprasion of Ensemble Learning Methods in Retail Sales Forecasting
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2019) Süer, Serhan; Güney, Evren
Forecasting has always been an essential skill which companies try to have and implement in various areas. Sales forecasting is one of the major usage areas of forecasting which is used in almost all sectors. This study refers to forecasting sales of Walmart Stores based on several features such as store id, department id, date, and store size. Walmart sales data which was used in this study contains information of stores between 2010 and 2012. At the beginning of the study, the introduction of the dataset and exploratory data analysis were made to identify dependent/independent variables and their characteristics. To apply machine learning algorithms, data preprocessing methods such as missing value treatment, outlier treatment, and feature selection was applied. Ensemble learning methods in machine learning algorithms were applied in the modeling stage. These methods were addressed in three parts such as Bootstrap Aggregation, Boosting, and Stacked Generalization and these parts consist of six different algorithms in total. The models were compared based on four regression metrics as Root Mean Square Error, Mean Absolute Error, R-Squared, and runtime. After selecting the main metric which models were evaluated, cross-validation was applied to achieve unbiased estimates. Finally, parameters of the model which have the highest score in cross-validation were tuned in the hyperparameter optimization stage and a machine learning model which can be used in forecasting sales of Walmart stores and its success score were obtained.
A Decade of Discriminative Language Modeling for Automatic Speech Recognition
(Springer-Verlag Berlin, 2015) Arısoy, Ebru; Saraçlar, Murat; Dikici, Erinc
This paper summarizes the research on discriminative language modeling focusing on its application to automatic speech recognition (ASR). A discriminative language model (DLM) is typically a linear or log-linear model consisting of a weight vector associated with a feature vector representation of a sentence. This flexible representation can include linguistically and statistically motivated features that incorporate morphological and syntactic information. At test time, DLMs are used to rerank the output of an ASR system, represented as an N-best list or lattice. During training, both negative and positive examples are used with the aim of directly optimizing the error rate. Various machine learning methods, including the structured perceptron, large margin methods and maximum regularized conditional log-likelihood, have been used for estimating the parameters of DLMs. Typically positive examples for DLM training come from the manual transcriptions of acoustic data while the negative examples are obtained by processing the same acoustic data with an ASR system. Recent research generalizes DLM training by either using automatic transcriptions for the positive examples or simulating the negative examples.