01. Araştırma Çıktıları | WoS | Scopus | TR-Dizin | PubMed

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Muhafazakarlık, Kaygı ve Tehdit Edici Uyarıcılara Karşı Dikkat Yanlılığı
(2017) Booth, Robert W; Dikçe, Uğurcan; Peker, Müjde
Political ideology often forms an important part of someone’s identity, and affects their life in many ways. Many have studied the correlates and predictors of ideology, especially conservative ideology (e.g. Adorno, Frenkel-Brunswik, Levinson, & Sanford, 1950; Jost, Glaser, Kruglanksi, & Sulloway, 2003; Tomkins, 1963; Wilson, 1973). Psychologists and political scientists have become increasingly convinced that ideology is related to biological, physiological and cognitive factors. For example, twin studies suggest political attitudes are about 30-60% heritable (see Bouchard & McGue, 2003; Hatemi et al., 2010). Here, we focus on cognitive and associated emotional correlates of ideology.
Mobile Mars Habitation
(Springer International Publishing, 2023) Müge Halıcı, Süheyla; Özdemir, Kürşad
This chapter focuses on the concept of mobile habitation on Mars. A description of Mars’ surface features is followed by a review of early concepts of crewed mobility for the Moon and Mars. Wheeled concepts for crew mobility continue to be based on the success of the Lunar Roving Vehicle, and predominantly take the form of a pressurized rover on wheels. With the help of architectural diagrams, the chapter introduces a range of habitable and mobile Mars structures, and the technologies used, taking into account mission requirements. © Springer Nature Switzerland AG 2023, corrected publication 2023.
What Is Neuroentrepreneurship? the Theoretical Framework, Critical Evaluation, and Research Program
(2021) Çakar,Tuna; Girişken, Arzu
As interest in entrepreneurship research to identify the possible economic development opportunities that entrepreneurs can provide, entrepreneurship research's objective tools are reaching their limits. Researchers in entrepreneurship are striving to discover new techniques and methodologies to answer questions about what makes a person an entrepreneur and perhaps identify and encourage an entrepreneur in the next step. Although a great deal of research has been done to answer these questions scientifically, traditional techniques have failed to produce the desired answers. For this reason, researchers working in the entrepreneurship field have recently been increasingly interested in applying neuroscience methods, especially after the proliferation of research fields such as neuroeconomics, neuromarketing, and neuropolitics. Although the population of neuroentrepreneurship research is gradually increasing, we cannot say that the field has been studied theoretically enough yet. In this article, a theoretical definition of neuroentrepreneurship is made, and a scientific framework is tried to be gained on the way to future research.
Modern Kıyının İnşası: 19. Yüzyıldan 21. Yüzyıla İstanbul’da Dört Kıyı Dolgu Projesi Üzerinden Toprağın ve Kentsel Dönüşüm Atığının Metabolik Akışı
(2022) Sert, Esra
Metabolize olmuş sosyo-doğalar olarak kentlerin ve ekonomilerin inşasının önemli bir unsuru olarak kıyı şehirleri, kapitalizmin tarihi boyunca kırılgan ekolojik nişler olarak işlev gördüler. Su ile karanın buluştuğu bu şehirlerden biri olan İstanbul, günümüzün kapitalist koşullarında sosyo-ekolojik açıdan baskı altında. Bu baskının kentteki mekânsal karşılıklarından biri olan kıyı dolgu alanlarının İstanbul’daki yüzey toplamı, 2000’li yıllarda yeni bir ilçe oluşturabilecek boyuta ulaştı. Dünyanın pek çok yerinde mülk sahipliğine konu olan ve yeryüzündeki dramatik coğrafi müdahalelere yol açan kıyı dolgu projeleri; toprak erozyonu, sediment oluşumu, bozulan hidroloji ve arazi çökmesi gibi tehlikeli sonuçlara yol açmaya devam ediyor. Bu çalışma, dört kıyı dolgu projesi aracılığıyla İstanbul'un modern kıyılarını anlamak için kentsel toprağın ve kentsel dönüşüm atığının metabolik yolculuğunun tarihsel olarak bir süreliğine kıyı dolgu alanları formunda nasıl mekânsallaştığını araştırıyor. İncelenen kentsel kıyı dolgu projelerinin ilk ikisi 19. yüzyılda karşımıza çıkan Yenikapı dolgu alanı ve bağlantılı liman alanı önerisi ile İstanbul Limanı projesi iken; diğer ikisi de 21. yüzyılda Maltepe ve Yenikapı’da gerçekleştirilen kıyı dolgu projeleridir. Makalede; doğanın çeşitli dolaşımlarla nasıl mekânsallaştığının öyküsü araştırılıyor. Kentsel projelerin, İstanbul’un derinleşen eşitsiz coğrafyasında sosyoekolojik ilişkileri kırılganlaştırarak dönüştüren kapitalizmin enstrümanlarına bağlı olduğu kadar, mimarlığı ve hepimizi son derece yakından ilgilendiren kentsel gündemlere ve tahayyüllere de bağlı olduğu iddia ediliyor. Bunu yaparken, kentsel metabolizma perspektifinden kentsel toprağın ve kentsel dönüşüm atığının metabolik yolculuğunu inceleyerek kıyının üretiminde etkili olan mevcut çevresel ve yönetsel müdahaleler kadar olası gelecek tahayyüllerinin ve projeksiyonlarının da yeniden gözden geçirilmesine katkıda bulunmayı umut ediyor.
Citation - WoS: 2
Citation - Scopus: 5
Compositional Neural Network Language Models for Agglutinative Languages
(2016) Saraçlar, Murat; Arısoy, Ebru
Continuous space language models (CSLMs) have been proven to be successful in speech recognition. With proper training of the word embeddings, words that are semantically or syntactically related are expected to be mapped to nearby locations in the continuous space. In agglutinative languages, words are made up of concatenation of stems and suffixes and, as a result, compositional modeling is important. However, when trained on word tokens, CSLMs do not explicitly consider this structure. In this paper, we explore compositional modeling of stems and suffixes in a long short-term memory neural network language model. Our proposed models jointly learn distributed representations for stems and endings (concatenation of suffixes) and predict the probability for stem and ending sequences. Experiments on the Turkish Broadcast news transcription task show that further gains on top of a state-of-theart stem-ending-based n-gram language model can be obtained with the proposed models.
Testing Soft Power in Hard Politics: Turkish Public Diplomacy During “Operation Peace Spring”
(Palgrave Macmillan, 2025) Güleç Aras, Cansu; Kibaroğlu, Mustafa
Public diplomacy is used by governments to significantly enhance their capability to maintain national unity and integrity as well as to advance their foreign policy objectives by cultivating a favorable environment among foreign peoples. In conflictual situations where military force is used, it is important to create an impact in a short time to promote national interests by informing and influencing the public. This chapter will first introduce the fundamental tenets of public diplomacy to offer a conceptual framework to better understand its use during military conflicts. It will then explore the implementation of public diplomacy instruments by Turkish government during the “Operation Peace Spring”, which was launched in October 2019. The chapter will also assess the performance of Turkish public diplomacy in the face of the extent of criticism leveled against Türkiye from around the world, including allied countries and international organizations. © 2025 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.
The Minimum Variance Distortionless Response Beamformer for Damage Identification Using Modal Curvatures
(Association of American Publishers, 2023) Eroğlu, Uğurcan; Pau, A.
This study presents a damage identification procedure in beams based on the use of beamforming algorithms, which are mostly utilized in inverse problems of source identification and image reconstruction. We choose the modal curvatures as observed quantities and compare the performance of the Bartlett beamformer, minimum variance distortionless response (MVDR) processor, and of a conventional objective function based on the modal curvatures. By means of a set of experiments, we show that the MVDR processor can overcome some of the difficulties encountered with other estimators, especially in cases of slight damage, or damage located between two sensors. © 2023, Association of American Publishers. All rights reserved.
Utilizing of Tincal Ore Wastes in Ceramic Industry
(Springer Science and Business Media Deutschland GmbH, 2023) Yücel, Onuralp; Özmen, Levent; Yıldırım, Yıldız; Başoğlu, Dilek
Boron mining is carried out as opencast/open pit mining in Turkey. The obtained boron ore is presented to the utilization of many industrial branches such as insulation fiberglass and ceramic glazes, after washing, distribution, and classification according to the size but most of commercial applications of borates require the use of refined borates (Briggs in Kirk–Othmer encyclopedia of chemical technology, 2001). Approximately 4.2 million tons (2 million tons based on B2O3) of boron were produced globally in 2016. In worldwide B2O3-based boron production, Eti Maden (Turkey) ranks first with a 50% share, USA with 25%, and other countries with 25% are trailing Turkey (Bor Sector Report, Eti Mine, 2009). It is known that, during the production of boron containing chemicals, some of these are spreading to environment (Karahan et al. in J Colloid Interface Sci 293:36, 2006; Sahin in Desalination 143:35, 2002). Boron-containing wastes coming out of the exploitation facilities are generally solid and in small dimensions, and also in pulp state. The studies related with the evaluation of boron waste demonstrate that the most appropriate evaluation method for the boron waste is storing the waste without harming the environment or regaining the boron within the waste and making the remaining minerals including clay suitable for the utilization of appropriate sectors (Christogerou et al. in Ceram Int 35:447, 2009). Boron containing wastes generating from production facilities are suitable raw materials for appropriate sectors when environmental impacts are being taken into consideration, too. In this study, the effect of various amounts of boron waste added to the ceramic body on forming and firing processes have been analyzed. This study has been carried out in order to provide information for bringing in this inert potential resource to the advantage of the country’s economy. © 2023, The Minerals, Metals & Materials Society.
Dağlık Karabağ Sorunu: Ermenistan için Çözümsüz Çatışma Olmasının Nedenleri
(Milli Savunma Üniversitesi, 2015) Güleç, Cansu
The conflict between Armenian and Azerbaijan around Nagorno-Karabakh was violent between 1988 and 1994. Nevertheless, Nagorno-Karabakh dispute is regarded as one of the frozen conflicts, which has been witnessed for many years. In order to stop and contain the conflict, other states and international organizations advocated peaceful settlement. However, the problem went through a number of phases and has not reached a final solution despite of many years of negotiation under the auspices of the OSCE Minsk Group. In this context, the objective of this paper is to understand the main impeding factors that prevent peaceful resolution and establishment of a long-lasting peace for Armenia. As a framework to analyze the case of Armenia-Azerbaijan dispute over Nagorno-Karabakh, this paper uses the "constructivist theory", which explains national histories and identities as fluid, evolving, and formed over time, and which claims that it is mainly social relationships between agents, structures, and institutions that can lead to ethnic conflicts. Contrary to the primordialist approach, which treats ethnic groups as concrete and independent entities that exist inherently, the explanation of intractability within a constructivist framework constitutes the main difference. In view of this, government policies are also constructed according to interstate perceptions, expectations and the concepts developed towards themselves and others. As a result, rather than only including one-dimensional "ancient hatred" paradigm; "the problem of security", "image of enemy", "other countries" involvement with having interests in the region", and most importantly "internal politics" can be regarded as the contributors to intractability for Armenia.
Citation - WoS: 8
Citation - Scopus: 5
Recognizing Non-Manual Signs in Turkish Sign Language
(IEEE, 2019) Gökberk, Berk; Akarun, Lale; Aktaş, Müjde
Recognition of non-manual components in sign language has been a neglected topic, partly due to the absence of annotated non-manual sign datasets. We have collected a dataset of videos with non-manual signs, displaying facial expressions and head movements and prepared frame-level annotations. In this paper, we present the Turkish Sign Language (TSL) non-manual signs dataset and provide a baseline system for non-manual sign recognition. A deep learning based recognition system is proposed, in which the pre-trained ResNet Convolutional Neural Network (CNN) is employed to recognize question, negation side to side and negation up-down, affirmation and pain movements and expressions. Our subject independent method achieves 78.49% overall frame-level accuracy on 483 TSL videos performed by six subjects, who are native TSL signers. Prediction results of consecutive frames are filtered for analyzing the qualitative results.
Israrlı Takip: Tanımı ve Sosyal Psikolojik Değişkenler ile İlişkileri
(Türk Psikologlar Derneği, 2021) Sakallı, Nuray; Başar, Demet
Israrlı takip (stalking) psikolojik ve fiziksel şiddet içeren, hedef alınan kişide korku ve endişe uyandıran, istenmeyen ve ısrarcı davranışlar bütünüdür. Bu makalenin amacı son yıllarda kadına yönelik şiddet alanında ayrı bir başlık altında ele alınmaya başlanmış olan ısrarlı takip konusuna ilişkin bir yayın taraması gerçekleştirerek alana katkı sunmaktır. Bu amaçla ilk olarak ısrarlı takip olgusunun tanımı ve farklı disiplinler açısından ele alınış biçimleri üzerinde durulmuştur. Araştırmalarda ısrarlı takip ile birlikte ele alınan takipçi-mağdur ilişkisi (eski veya şimdiki eş/partner ve tanıdık ya da yabancı takipçi), kullanılan takip yöntemleri (fiziksel ortamda veya çevrim içi iletişim araçları ile gerçekleştirilenler), ısrarlı takibin romantikleştirilmesi, toplumsal cinsiyet, cinsiyetçilik, erkeklik ve namus kültürü gibi farklı sosyal psikolojik değişkenler ele alınmıştır. Bu değişkenlerle yapılan çalışmaların bulguları yanı sıra olası gelecek araştırma önerileri verilmiştir. Daha sonra, ısrarlı takibin psikolojik ve fiziksel sağlık üzerindeki olumsuz etkilerine değinilmiştir. Sonuç kısmında ise ısrarlı takip konusuyla ilgili genel bir özetleme ile birlikte kültürümüzde yapılabilecek olası araştırma önerileri sunulmuştur.
Türk Hukukunda Kişiye Sıkı Sıkıya Bağlı Haklar ve Hukuki Sonuçları
(Seçkin Yayıncılık, 2016) Kurt, Ekrem
Kişiye sıkı sıkıya bağlı hakların tanımına MK'da yer verilmemiştir. Bunların en belirgin özelliği, başkasına devredilememeleri ve temsil yasağıdır. Kural olarak yasal temsil bile bu haklar bakımından geçerli değildir. Bununla birlikte bu haklar tek tip değildir. Çeşitli özelliklerine göre farklı rejimleri söz konusudur.
Energy Consumption at Home: Insights for Sustainable Smart Home Marketing
(Springer International Publishing Ag, 2023) Köse, Şirin Gizem; Cizer, Ece Ozer; Kazancoglu, Ipek
Energy consumption has been a vital subject for both energy producers and consumers. The intersection of energy consumption and home words are of increasing importance in both literature and practice. Households try to utilize energy in the most efficient and sustainable way. On the other hand, smart home technologies which let the households control their houses are on the rise. Those technologies also help balance the energy consumption and live in a more sustainable way. This study aims to underline the importance of smart home technologies to increase energy efficiency and pave the way for a more sustainable energy management. In line with this purpose, a bibliometric study has been conducted to enlighten the literature development in energy consumption and home subjects. The results are expected to be helpful for both literature and practice as well as energy providers and consumers.
An Analytic Look at a Language Course Design Model
(2017) Mutlu, Gülçin; Ece Sarıgül
This study aims to qualitatively examine and elaborate on the characteristics of the course design model devised by Graves (2000). Drawing upon the traditional components and principals of instructional design, Graves' course design model is innovative or different in that it has been more specially developed for language course design purposes and thus is believed to be more suited to the nature of language courses with its consideration of the main elements or characteristics of language teaching and learning processes. This descriptive study centers upon the seven main examination criteria, which are in fact the main procedures as suggested by Graves (2000). These are a) defining context, b) conceptualizing content, c) organizing the course, d) formulating goals and objectives, e) assessing needs, f) developing materials and finally g) designing an assessment plan. In this essence, each criterion was first introduced and explained in detail before the researchers extend their critical outlook into the functionality and practical use of the relevant steps and strategies recommended by Graves (2000). This critical analysis and review on the Graves' course design model revealed that the model employs the traditional components of the ADDIE generic and lends itself well also to be used in the other disciplines other than foreign languages. The final part of this report will provide suggestions as regards the potential application of the model specifically in English language curriculum development and more broadly in the curriculum and course development procedures pertaining to other discipline areas.
Citation - Scopus: 4
Multi-View Reconstruction of 3d Human Pose With Procrustes Analysis
(IEEE, 2019) Gökberk, Berk; Akarun, Lale; Temiz, Hüseyin
Recovery of 3D human pose from cameras has been the subject of intensive research in the last decade. Algorithms that can estimate the 3D pose from a single image have been developed. At the same time, many camera environments have an array of cameras. In this paper, after aligning the poses obtained from single images using Procrustes Analysis, median filtering is utilized to eliminate outliers to find final reconstructed 3D body joint coordinates. Experiments performed on the CMU Panoptic, and Human3.6M databases demonstrate that the proposed system achieves accurate 3D body joint reconstructions. Additionally, we observe that camera selection is useful to decrease the system complexity while attaining the same level of reconstruction performance.
Sustainable Food Consumption Within the Scope of Green Economy: a Research on Consumer Perspective
(2024) Köse, Şirin Gizem
Sürdürülebilir üretim ve tüketim, her alanda olduğu gibi gıda sektöründe de önemli konulardan biridir. İnsanlığın yaşama devam etmesi için elzem olan gıda sektörü, çevreye etkileri bakımından da mercek altındadır. Bu bağlamda bu çalışmanın amacı sürdürülebilir gıda tüketimini gıda tüketim sisteminin en önemli aktörlerinden biri olan tüketici perspektiflerinden ele almaktır. Bu amaçla derinlemesine görüşme tekniği kullanılarak veriler elde edilmiştir. Araştırma sonuçları, sürdürülebilir gıda tüketiminin önündeki engellerin algılanan pahalılık, bilgi eksikliği, algılanan yeşil yıkama, düşük bulunabilirlik, algılanan çaba ve yaşam koşulları olduğunu, sürdürülebilir gıda tüketiminin itici güçlerinin ise sağlık ve çevre bilinci, subjektif norm, sosyal medya ve gıda ilgilenimi olduğunu göstermektedir.
Dog Walker Segmentation
(IEEE, 2022) Ercan, Alperen; Karan, Baris; Çakar, Tuna
In this study dog walkers were separated into clusters according to walkers' walk habits. Due to the fact that the distributions were non-normal, normalization algorithms were applied before the onset of clustering. After normalizing, K Means algorithm and Gaussian Mixture Models used for finding optimum cluster count. According to these clusters, walkers' consecutive months separated to follow-up their behavioral traits. This part of the study adds value to the project to examine walkers' behaviors closer.
Citation - Scopus: 2
Breast Lesion Detection From Dce-Mri Using Yolov7
(American Institute of Physics, 2024) Şahin,Sinan; Araz, Nusret; Bakırman, Tolga; Çakar, Tuna; Kulavuz, Bahadır; Bayram, Bülent; Çavuşoğlu, Mustafa
Breast cancer is one of the most common types of cancer among women. Early diagnosis of breast cancer has vital importance to prevent unexpected losses. A worldwide effort has been made to tackle early detection challenge. Dynamic contrast-enhanced magnetic resonance imaging is a superior imaging system that improves breast cancer diagnosis quality of physicians. Computer Aided Diagnosis systems are used as a complementary tool to improve breast cancer diagnosis. In last decades, various computer aided diagnosis systems have been proposed. However, the state-of-the-art deep learning-based approaches have started to overcome conventional medical image processing methods. In this study, we aimed to detect malignant breast lesions from open access dynamic contrast-enhanced magnetic resonance imagery dataset using most recent YOLOv7 deep learning architecture. 2400 images have been used for training (80%) and testing (20%) of the network. The metrics calculated with the test dataset are 98.54%, 96.42% and 84.40% for mAP@0.50 IoU, mAP@0.75 IoU and mAP, respectively. The results show that YOLOv7 architecture is capable to detect malignant breast lesions from dynamic contrast-enhanced magnetic resonance images efficiently. © 2024 Author(s).
Citation - Scopus: 6
On the Difficulties in Manufacturing of Luffa Fibers Reinforced Biocomposites and Variations in Their Dynamic Properties
(Institute of Noise Control Engineering, 2016) Genç, Garip; Körük, Hasan
Defects in raw bio materials such as luffa plant effect the characteristics of the composites of these materials. These defects results in structural differences and large scattering mechanical properties such as density, damping and elasticity modulus. There are difficulties during the manufacturing of the composites from bio materials inherent to their nature. The major problems and restrictions encountered with the use of green luffa materials as reinforcement are studied in this study. First, the structural differences in the raw luffa plants are presented and the difficulties in their manufacturing are discussed. After that, the variations in measured modal parameters of luffa composites such as natural frequencies and loss factors and mechanical properties such as density and elasticity modulus are presented. Some solutions are provided to minimize the problems in manufacturing and identifying properties of luffa composites. The results show that the luffa composites can be produced with similar properties without any special selection of fibers to homogenize the batches of fibers for controlling the defects. However, a preliminary selection of fibers is required if the mechanical or dynamic properties of the luffa composites are desired to have small variations.
İnternet Trafik Hızının Tahmininde Derin Öğrenme ve Ağaç Tabanlı Modellerin Karşılaştırılması
(Institute of Electrical and Electronics Engineers Inc., 2025) Filiz, Gozde; Altıntaş, Suat; Yıldız, Ayşenur; Kara, Erkan; Drias, Yassine; Çakar, Tuna
This study addresses the prediction of internet traffic speed using time-dependent data from an internet service provider through different modeling approaches. On an anonymized dataset, the performance of the moving average method, various deep learning models (N-BEATS, N-HITS, TimesNet, TSMixer, LSTM), and the XGBoost regression model enhanced with feature engineering was compared. Time series cross-validation and random hyperparameter search were used for model training. According to the results, the XGBoost model achieved the highest accuracy with 98.7% explained variance (R2), while among the deep learning models, N-BEATS and N-HITS achieved the best performance with R2 values around 90%. The findings indicate that tree-based methods supported by carefully selected features can offer higher accuracy and computational efficiency compared to complex deep learning models in internet traffic forecasting. © 2025 Elsevier B.V., All rights reserved.

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