Başkent Üniversitesi Kurumsal Akademik Arşivi

Başkent Üniversitesi DSpace, üniversitemiz tarafından doğrudan veya dolaylı olarak yayınlanan kitap, makale, tez, bildiri, rapor ve araştırma verisi gibi tüm akademik kaynakları uluslararası standartlarda dijital ortamda depolar. Bu sistem, üniversitemizin akademik performansını izlemeye aracılık eder, kaynakları uzun süreli saklar ve yayınların etkisini artırmak amacıyla telif haklarına uygun olarak Açık Erişim imkanı sağlar.

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Recent Submissions

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"Here, We Investigate If There Is …": A Functional Investigation of Self-Mentions in Research Article Abstracts
(Başkent Üniversitesi Eğitim Bilimleri Fakültesi, 2024-08-11) Akbas, Erdem; Dagdeviren-Kirmizi, Gulin; Kirmizi, Ozkan
The present study explored authorial presence in the abstracts across three purpose-built discipline-specific corpora of RAs in major but relatively less represented disciplines in corpus studies: Civil Engineering (CE), Political Sciences (PS) and Veterinary Medicine (VM). In particular, due to less attention having been paid to these fields, we examined explicit authorial references with a functional perspective in a corpus of abstracts totaling over one million words. To this end, we first conducted a preliminary search for explicit third-person plural author references in the corpora and manually analysed a total of over 6,000 instances to check if they were all markers signaling an authorial presence in the text. Following this, the second manual analyses concentrated on categorizing the rhetorical functions of self-mentions based on Xia's (2018) framework. The preliminary findings showed that the frequency of "we"-based authorial references in PS outweighed that in the other disciplines (PS: 722.13; CE: 636.81; VM: 481.30 per 100,000 words). Regarding the density of authorial references, we found that each discipline favored being more visible with divergent authorial roles in their abstracts. For example, PS were more rhetorically present in their abstracts by "proposing a theory or approach" whereas CE and VM authors used fewer self-mentions to mark their presence frequently with this rhetorical device. With respect to the functional analyses of the self-mentions of "we", all three disciplines displayed more low-stakes functions such as "recount experimental procedure and methodology". We focused on the significance of cross-disciplinary and functional analysis in the study in order to contribute to designing activities in EAP for each discipline.
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Relationship Between Stress, Anxiety and Family Environment In Turkish Married Individuals
(Başkent Üniversitesi Sağlık Bilimleri Fakültesi, 2024-06-27) Yanardag, Melek Zubaroglu; Cay, Murat; Ozden, Seda Attepe
The purpose of this study is to determine how the family environment affects the stress and anxiety levels of married women and men living in the city center of Antalya. The study was defined as a descriptive quantitative research and 455 married individuals attended. Between 20 February and 20 April 2022, data were gathered at parks, bazaars, markets, streets, restaurants, and private workplaces in the Antalya city center's Kepez, Konyaalt & imath;, and Muratpa & scedil;a districts. The findings showed that there was a positive and weak correlation (r = 0.306) between stress and anxiety that the participants felt. The family environment had a weak and negative correlation with anxiety. The increase in the perceptions of the participants about the anxiety state elevated their stress levels (R2=.093). The increased perceptions of the family environment also decreased anxiety levels (R2=.052). It can be asserted that the family environment had a direct effect on the anxiety level of individuals and an indirect impact on their stress levels. Psychosocial interventions offer important and valuable insight for helping married individuals reduce their anxiety and stress levels.
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Improving The Performance of a MEMS-IMU System Based On A False State-Space Model By Using A Fading Factor Adaptive Kalman Filter
(Başkent Üniversitesi Mühendislik Fakültesi, 2024-06-29) Akbas, Eren Mehmet; Cifdaloz, Oguzhan; Ucuncu, Murat
In this study, we introduce a novel algorithm, the low error rate adaptive fading Kalman filter (LERAFKF), designed to predict system states in the presence of uncertainty in both the system matrix and the model. The purpose of developing the LERAFKF is to address challenges arising from measurement difficulties, system parameter uncertainties, and state-space model inaccuracies. Several studies have utilized the Kalman filter (KF) and extended Kalman filter (EKF) algorithms to handle uncertainties in system parameters, corrupted measurements with unknown covariances, and incorrectly defined system modeling. Our work distinguishes itself by proposing a new approach that achieves lower error and deviation rates by combining the current Kalman estimation algorithm and the fading factor adaptive filter. To achieve this goal, we transformed the KF into an adaptive KF by introducing a forgetting factor, and the algorithm was subsequently reconfigured to calculate an optimized forgetting factor. In this study, we conducted simulations and measurements using both linear and nonlinear systems. The linear system represents the motion of an object, and the simulation involved measurements from the inertial navigation system (INS) sensor, specifically the Pololu IMU01b three-axis inertial measurement unit (IMU) sensor. We employed the SDI33 system with 9 degrees of freedom (DoF) mounted on a three-axis rotary table for the nonlinear system. This system simulates a missile as a 4th-order nonlinear system. Our findings demonstrate that the proposed LERAFKF filter outperforms KF and EKF in estimating system states, particularly in measurement-related error scenarios. Mean square error analysis further confirmed that LERAFKF exhibited the lowest error values, showcasing superior performance over KF and EKF in linear and nonlinear systems.
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Comment On Prospective Comparison Of Acute Severe Toxicities Between Smokers And Non-Smokers During Radiotherapy For Head And Neck Cancers
(Başkent Üniversitesi Diş Hekimliği Fakültesi, 2024-07-08) Topkan, Erkan; Somay, Efsun; Bascil, Sibel; Selek, Ugur
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Detection and Characterization of Cusp Singularities
(Başkent Üniversitesi Mühendislik Fakültesi, 2024-06-25) Buyuktas, Selin; Karacor, Deniz
Studies on nonlinear analysis of system dynamics have increased in recent years. Since most systems that exist in nature have complex dynamics and therefore exhibit nonlinear behavior; there are various methods and theories developed in this context. Self-similar functions are mathematical functions exhibiting self-similar and scale-invariant behaviors performing fractal structures. Singularities are the basis for producing the self-similar behavior of these functions. Singularity analysis is mainly carried out by using wavelet transform (WT). The cusp singularities are non-oscillating singularities which are characterized by their singularity strength. However, the representation and behavior of this type of singularity differs depending on the sign of the exponent, known as the singularity strength. The cusp singularity functions with negative exponent show irregular behavior progressively different than positively valued functions since the value of the function is undefined at that particular singular point. It is commonly accepted that the singularity strength is studied as Holder exponent of the cusp function, but by definition, the value of this exponent cannot take negative values. We present a new method to estimate the singularity strength of cusp singularities with negative exponent. The developed method is based on analyzing and redistributing the amplitudes of a cusp function with negative exponent by taking the WT. The redistribution of amplitudes over time is achieved by applying curve fitting process to frequency values of the analyzing function.