Scopus İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.14627/7

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Citation Count: 3
Analysis for Two-Dimensional Inverse Quasilinear Parabolic Problem by Fourier Method
(Taylor & Francis Ltd, 2021) Kanca, Fatma; Baglan, Irem; Bilgisayar Mühendisliği Bölümü
In this work, two-dimensional inverse quasi-linear parabolic problem with periodic boundary and integral overdetermination conditions is investigated. The formal solution is obtained by the Fourier approximation. Under some natural regularity and consistency conditions on the input data,the existence, uniqueness and continuously dependence upon the data of the solution are proved by iteration method. The inverse problem is first examined by linearization and then used implicit finite difference scheme for the numerical solution. Also predictor corrector method is considered in the numerical approach. Some results on the numerical solution with two examples are presented with figures and tables. The sensitivity of the scheme with respect to noisy overdetermination data is illustrated.
Citation Count: 0
Challenging Discrimination in Different Areas: Turkey
(Peter Lang AG, 2021) Köseoğlu, Nihan; Apak, D.; Siyaset Bilimi ve Uluslararası İlişkiler Bölümü
This book aims to evaluate the issue of discrimination in Turkey from different points of view. Valued academics have addressed issues of discrimination in different fields such as press, sports media, social media, politics, political discourse, immigration, economics, architecture, gender, identity, and violence. Turkey is also encountered in both implicit and explicit examples of discrimination in a way as it is in many other countries. Discrimination can be adopted through discourses and can be reproduced in a wide range from politics to sports, from media to economy and can also be carried over generations. Although legal arrangements have been made against discrimination, discrimination is still active in different parts of society and in different areas. © Peter Lang GmbH Internationaler Verlag der Wissenschaften Berlin 2021.
Citation Count: 1
Design and Development of a New Tactile Stimulator
(Ieee, 2019) Levent, Vecdi Emre; Levent, Vecdi Emre; Aydin, Nizamettin; Bilgisayar Mühendisliği Bölümü
We have designed and implement a tactile stimulator to obtain information from the central nervous system. Our system consists of two main components. The first one is tactile stimulator, which was designed to stimulate index and middle finger tips, stimulating mechanoreceptors according to the test protocol. Second one is a personal computer running a desktop software for the implementation of test protocols. The flow is as follows; the subjects are asked the question of the test protocol through the personal computer. The parameters are then transmitted to the embedded board on the machine. The embedded board drives step motors to apply the relevant test parameters. The desktop software expects the individual to answer the question using the right or the left mouse button of the computer mouse. After answering the relevant question, the test proceeds to the next step. According to the test protocol, the stimulation process of the mechanoreceptors located at the index and middle finger tips must start and terminate at the same time. From this perspective, the embedded board with 3 18F46K22 PIC microcontrollers produces 2 square wave signals with different frequencies and amplitudes at the same time. The embedded system card developed with the PIC microcontroller is also developed with FPGA. The system has also been tested on 24 blue and white collar employees and a significant result has been obtained.
Citation Count: 0
Digital Society and Togetherness Against Discrimination: Analyzing Reactions in Turkish Tweets on George Floyd Protest
(Peter Lang AG, 2021) Eyrek Keskin, Aysun; Yeni Medya ve İletişim Bölümü
This study aims to examine how people react, interact, and come together against discrimination by using social media even if they are in a spatially different location. George Floyd protests spreading around the world are selected as case study for explaining reaction against discrimination on social media. On May 25, 2020, George Floyd died after being arrested by police officers in Minneapolis, United States. After the footage that displays the fatal arresting of George Floyd by police officers had been circulated on social media, street demonstrations were organized. The reaction of people spread through social media networks around the world. Using social movement theories as a theoretical framework and applying a content analysis, this study focuses on the tweets that are written in Turkish under the hashtags related to George Floyd’s death. The data set involves 12 thousand tweets, between May 28 and June 4 (during the first weeks of protests). The results reveal that social media is an essential part of interaction with people and combination of solidarity against discrimination. © Peter Lang GmbH Internationaler Verlag der Wissenschaften Berlin 2021.
Citation Count: 6
Effects of myrtus Communis L. Extract and Apocynin on Lens Oxidative Damage and Boron Levels in Rats With a High Fat-Diet
(Galenos Publ House, 2021) Şener, Göksel; Kuru, Dilruba; Sen, Ali; Sener, Goksel; Ercan, Feriha; Yarat, Aysen; Eczacılık Meslek Bilimleri Bölümü
Objectives: Nutritional obesity causes oxidant damage in the body and cataract formation in the lenses by increasing the formation of free radicals. Myrtus communis leaf extracts (Myr) have antioxidant properties, and apocynin (Apo) is an effective NADPH-oxidase inhibitor. The data on tissue boron levels are quite lacking. The aim of this novel study was to investigate the effects of Myr and Apo treatment on boron levels and oxidative lens damage in rats fed a high-fat diet (HFD). Materials and Methods: Wistar albino male rats were randomly divided into four groups: the control group, HFD group, HFD + Myr group, and HFD + Apo group. Body weight and blood lipids were determined before and after the experiment. After decapitating the rats, the lenses were removed and homogenized. Catalase (CAT) and superoxide dismutase (SOD) activities and boron, malondialdehyde (MDA), and reduced glutathione (GSH) levels in the lens homogenates were determined. Results: The HFD increased serum triglyceride (p<0.05), total cholesterol level (p<0.001), body weight (p<0.001), and lens MDA levels (p<0.01) and decreased lens GSH (p<0.05) and boron level (p<0.01), SOD (p<0.001), and CAT activity (p<0.001). However, Myr and Apo treatment reduced the rats' body weight (p<0.001), serum triglyceride (p<0.05), and total cholesterol level (p<0.001) and increased lens boron (p<0.01; p<0.001), GSH levels (p<0.05; p<0.01), and CAT activity (p<0.001). Conclusion: Both Myr and Apo may be able to reduce oxidative stress in the lenses of obese rats caused by HFD by increasing boron levels.
Citation Count: 0
Ensemble-Based Alzheimer's Disease Classification Using Features Extracted From Hog Descriptor and Pre-Trained Models
(Sakarya University, 2024) Muzoğlu, N.; Akbacak, E.
Alzheimer's Disease is the most common type of dementia and is a progressive, neurodegenerative disease. The disease worsens over time, and the patient becomes bedridden, unable to move or understand what is happening around him. The main concern of medicine is to slow down the progression of the disease for which no treatment has yet been developed. Artificial intelligence studies have achieved significant success in detecting many diseases. In this study, an artificial intelligence-based approach that uses MR images of the early stage of Alzheimer's Disease to detect the disease at an early stage is presented. Initially, a new dataset was created through the application of the fuzzy technique, thereby expanding the feature space. Then, an ensemble learning-based hybrid deep learning model was developed to reduce the misclassification rate for all classes. The features derived from the inception module, residual modules, and histogram of oriented gradients descriptor are subjected to classification through bagging and boosting algorithms. The proposed model has surpassed many state-of-the-art studies by achieving a high success rate of 99.60% in detecting Alzheimer's disease in its early stages. © 2024, Sakarya University. All rights reserved.
Citation Count: 0
Green jobs in green transformation story
(IGI Global, 2024) Alkan, B.
Governments around the world are enacting green recovery and transition programs in collaboration with international agencies. Their coordinated efforts attempt to balance economic growth with environmental preservation, emphasizing that for a sustainable and green future the green transformation is an urgent requirement. The employment component of the green transformation has significant social and economic repercussions. Depending on how prepared countries are for the transition process, skill adaptation and the creation of new job opportunities can provide socioeconomic benefits. "Green jobs" are discussed in the chapter as an important part of the transition strategy to a green economy. The chapter outlines what a "green job" is and is not, presents the connection between employment and skills, and emphasizes the relevance of green jobs in the transition process. © 2024, IGI Global. All rights reserved.
Citation Count: 0
Introduction: General Information About Discrimination in Turkey
(Peter Lang AG, 2021) Köseoğlu, Nihan; Apak, D.; Siyaset Bilimi ve Uluslararası İlişkiler Bölümü
[No abstract available]
Citation Count: 0
Nonviolent Communication in Lifelong Education
(Hacettepe Univ, 2023) Baban, Ece; Doğan Erdinç, Ece; Halkla İlişkiler ve Reklamcılık Bölümü
In today's world, the increase of othering and xenophobia with acts of violence, along with the changes that consume resources due to climate changes such as wars, irregular migration movements, famine and thirst, are an important necessity for understanding nonviolent communication and its application in the field of lifelong education. This requirement brought the problem of "adult education" to the agenda and accelerated the studies on the lifelong learning approach. In addition, key messages developed by UNESCO and the European Commission defined the characteristics that the lifelong learning approach should have. Within the scope of the study, the concept of nonviolent communication explained, and the "Make a Gesture Your Opponent" campaign, which includes nonviolent communication training for Turkey Football Federation first league teams, examined. Within the scope of the study, the "Make a Gesture to Your Opponent" campaign was determined as a case study. Accordingly, the official website of the campaign was examined. As a result of the analysis carried out in line with the key messages, the nonviolent communication approach that the "Make a Gesture Your Opponent" project wanted to instill in its participants shows how important education is in all areas of life.
Citation Count: 0
Political Discourse on Syrian Refugees in Turkey
(Peter Lang AG, 2021) Yiğit Uyar, Merve Hazer; Uyar, C.; Siyaset Bilimi ve Uluslararası İlişkiler Bölümü
This chapter focuses on a comparative research investigation on how populist discourse and securitization on refugees are constituted by partners of political power. The analysis argues that refugees are instrumentalized in domestic/ foreign politics by exposure to exclusionary rhetoric by political parties in Turkey as of 2018. In the context of the research, the official political discourses and statements of five parties during 2018 general and 2019 local election campaigns, the election manifestos, and post-February 2020 Idlib incident were examined. The political parties are AKP, CHP, MHP, İYİ Party, and HDP. In this context, how and for what purposes refugees are securitized with populist rhetoric are examined accordingly. For this analysis, the usage and content of the terms “Syrian, " “refugee, " “immigrant, " “asylum, " and “under temporary protection” were investigated. © Peter Lang GmbH Internationaler Verlag der Wissenschaften Berlin 2021.
Citation Count: 0
Preface
(Peter Lang AG, 2021) Köseoğlu, Nihan; Apak, D.; Siyaset Bilimi ve Uluslararası İlişkiler Bölümü
[No abstract available]
Citation Count: 1
Psychometric Properties of Turkish Version of the Behavioural Regulation in Exercise Questionnaire (breq-3)
(Edizioni Luigi Pozzi, 2021) Aşçı, Fevziye Hülya; Elmas, Aydan Gozmen; Ersöz, Gözde; Beden Eğitimi ve Spor Bölümü
The aim of this study was to examine the validity and reliability of the Turkish version of Behavioural Regulation in Exercise Questionnaire-3 (BREQ- 3). Four hundred-one male and 299 female exercisers participated in this study. The Behavioural Regulation in Exercise Questionnaire-3 BREQ-3, Basic Psychological Needs in Exercise Scale and Goal Orientation in Exercise Measure were administered with personal information form to all participants. The psychometric proporties of the scale were investigated using confirmatory factor analysis, internal consistency, convergent and discriminant validity. Findings regarding the construct validity of the scale demonstrated that six-factor model showed acceptable fit to the data. The results demonstrated an adequate internal consistency. Furthermore, correlations of the behavioral regulations with goal orientations and basic needs satisfactions in exercise provided the evidence for the convergent and discriminant validity of the measure. In sum, results indicated that BREQ-3 is a reliable and valid scale in within the context of exercise in Turkey.
Citation Count: 0
Transaction Types in Cryptocurrencies
(Institute of Electrical and Electronics Engineers Inc., 2024) Uysal, T.; Unozkan, H.
The cryptocurrency ecosystem has witnessed an explosive growth, and this study delves into the mechanisms that fuel this expansion. Focusing on airdrops, staking, farming, and coin burning, the research analyzes a vast dataset of transactions from the Ethereum and Binance Networks. This analysis sheds light on the strategic use of these tools by highlighting transactions that engage users and distribute rewards (e.g., airdrops, staking). Furthermore, the study investigates farming as a method to enhance market efficiency by providing liquidity, and coin burning as a strategy to manage token supply and potentially increase value through scarcity. While effective utilization of these mechanisms can bolster token value and project success, regulatory challenges remain. Ultimately, this study aims to raise public awareness of cryptocurrency transaction types and the associated risks. Although many researchers have studied illicit flows on cryptocurrency transactions, in literature we haven't confronted with any study regarding transaction types. By analyzing over 107 million transaction records, the research presents the distribution of these transaction types. With the analysis of the transaction types, the definitions of them, the statistical outputs from the more than 107 million transaction records from ERC20 and BEP20 blockchain systems and the analysis of some specific token types such as Pancake Swap and Shiba, this research is the first study to present an academic approach with statistical analysis. This study can provide investors with knowledge that safeguard them from the potential pitfalls of cryptocurrency transactions. Also, this study presents some basic statistics so as to understand main patterns of different types of transactions. © 2024 IEEE.
Citation Count: 0
Unet3D Based Next Frame Prediction;
(Institute of Electrical and Electronics Engineers Inc., 2024) Akbacak, E.
The concept of next-frame prediction, which is predicting the subsequent frames using historical frames' spatial and temporal properties, is indispensable in computer vision. There are various application of frame prediction such as predicting a future event in autonomous vehicles, predicting patient falls in biomedical engineering, and reducing the amount of data transmitted in video transmission. Deep learning applications in this field are the focus of the most effective methods. Especially CNN-LSTM, Convolutional LSTMs, and GAN-supported deep learning methods are very common. This study proposes the inflated 3D Unet encoder-decoder model, which is not yet used for the next-frame prediction problem. The proposed model predicts both the next frame and the subsequent frames. Experimental results have shown that the proposed method gives better results than CNN-LSTM and Convolutional LSTMs. © 2024 IEEE.

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