Fakülteler / Faculties

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    Validation Of The Moral Foundations Questionnaire-2 In The Turkish Context: Exploring Its Relationship With Moral Behavior
    (Başkent Üniversitesi Sağlık Bilimleri Fakültesi, 2024-06-06) Dogruyol, Burak; Velioglu, Ilayda; Bayrak, Fatih; Acem, Ensar; Isler, Ozan; Yilmaz, Onurcan
    Despite the considerable attention it has received, Moral Foundations Theory (MFT) remains open to criticisms regarding failure to conceptualize the moral domain. MFT was revised in response to these criticisms, along with its measurement tool, the Moral Foundations Questionnaire (MFQ-2). However, the validity of this revised theoretical structure and its explanatory power relative to existing alternatives, such as Morality as Cooperation Theory (MAC), has not yet been independently tested. Here we first validated MFT's revised six-factor structure using the MFQ-2 in a large quasi-representative sample (N = 1099) from a predominantly Muslim country (i.e., T & uuml;rkiye) and then explored the relationship of these six factors with incentivized measures of moral behavior as well as different psychological variables. Our tests revealed excellent fit values for the six-factor structure proposed by the MFQ-2, which explained more of the variance in criterion variables compared to the MAC Questionnaire (MAC-Q). However, MAC-Q performed better in predicting actual moral behavior (e.g., generosity and cooperation) compared with MFQ-2. Taken together, these findings indicate that, at least for the time being, MFQ-2 and the structure of the moral foundations proposed by MFT can be used to conceptualize the moral domain, but its relatively weak relationship to actual moral behavior limits its insights.
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    Involution Generators Of The Big Mapping Class Group
    (Başkent Üniversitesi Mühendislik Fakültesi, 2024-06-09) Altunoz, Tulin; Pamuk, Mehmetcik; Yildiz, Oguz
    Let S = S(n) denote the infinite-type surface with n ends, n is an element of N, accumulated by genus. For n >= 6, we show that the mapping class group of S is topologically generated by five involutions. When n >= 3, it is topologically generated by six involutions.
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    Joshi-Malafarina-Narayan Singularity In Weak Magnetic Field
    (Başkent Üniversitesi Mühendislik Fakültesi, 2024-06-07) Azreg-Ainou, Mustapha; Acharya, Kauntey; Joshi, Pankaj S.
    The importance and significance of magnetic fields in the astrophysical scenario is well known. Many domains of astrophysical black hole physics such as polarized shadow image, high energy emitting processes and jet formation are dependent on the behavior of the magnetic fields in the vicinity of the compact objects. In light of this, we determine the master equation and master differential equation that determine the spatial behavior of the magnetic field inside a matter distribution or vacuum region, of general spherically symmetric metric, which is immersed in a test magnetic field. We also investigate here the case of JMN-1 singularity immersed in a uniform weak magnetic field and determine the behavior of magnetic fields by defining electromagnetic four potential vector. We find that the tangential component of the magnetic field is discontinuous at the matching surface of the JMN-1 singularity with the external Schwarzschild metric, resulting in surface currents. We define the covariant expression of surface current density in this scenario. We also analyze the behavior of center-of-mass energy of two oppositely charged particles in the geometry of the magnetized JMN-1 singularity. We briefly discuss the possible scenarios which would possess a discontinuous magnetic field and implications of the same and future possibilities in the realm of astrophysics are indicated.
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    A Comprehensive Examination of UV-VIS Spectrophotometric Methods in Pharmaceutical Analysis Between 2015-2023
    (Başkent Üniversitesi Eczacılık Fakültesi, 2024-06) Enes, Duygu; Dastan, Kerem; Kaplan, Ozan; Celebier, Mustafa; Dogan, Aysegul
    Background: Quality control is a system of validated procedures in which many samples, including active pharmaceutical ingredients and final products, are analyzed using standard or validated analytical methods. Method: Analytical methods used in analyzing active pharmaceutical ingredients or final products in the pharmaceutical industry can be methods registered in pharmacopeias and developed by the company itself. For this reason, published papers related to pharmaceutical analysis attract analysts and researchers' attention. In this study, pharmaceutical analysis and bioanalysis studies carried out between 2015 and 2023 were examined using Google Scholar, and the recent trends were determined for pharmaceutical analysis. Among the published papers performing conventional analytical techniques for pharmaceutical analysis, those applying UV-VIS spectrophotometry method were selected to predict a future perspective in this study. In addition to the data obtained, the current situation of the pharmaceutical industry was considered to correlate with the obtained data for pharmaceutical analysis. Results: The results were presented with comparative tables and summarizing graphs. Interpreting the results allowed us to determine the trends that pharmaceutical analysis studies will lead in the future. This study can be helpful for researchers working on pharmaceutical analysis in both the industry and academia to predict future trends in pharmaceutical analysis. As a result of the literature research covering the dates 2015-2023, 56% of UV-VIS Spectrophotometric methods are used on pharmaceutical dosage forms, 27% are bulk, 16% are pure, 2% are biological materials, and 0.4% are herbal. Made from materials. Of these studies, 28% were conducted in the 200-240 nm range, 27% were conducted in the 240-300 nm range, and only 44% were conducted at >300 nm. Interpreting the results allowed us to determine the trends that pharmaceutical analysis studies will lead in the future. Conclusion: This study can be helpful for researchers working on pharmaceutical analysis in both the industry and academy side to predict future trends for pharmaceutical analysis.
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    Pre-Chemoradiotherapy High Platelet Counts Predict Jaw Osteoradionecrosis In Locally Advanced Nasopharyngeal Carcinoma Patients
    (Başkent Üniversitesi Diş Hekimliği Fakültesi, 2024-09-15) Somay, Efsun; Topkan, Erkan; Kucuk, Ahmet; Ozturk, Duriye; Ozkan, Emine Elif; Ozdemir, Beyza Sirin; Besen, Ali Ayberk; Mertsoylu, Huseyin; Pehlivan, Berrin; Selek, Ugur
    Introduction: This retrospective study aimed to investigate if pretreatment platelet (PLT) levels can predict the risk of osteoradionecrosis of the jaw (ORNJ) in patients with locally advanced nasopharyngeal carcinoma (LA-NPC) who received concurrent chemoradiotherapy (CCRT). Material &Methods: ORNJ instances were identified from LA-NPC patients' pre- and post-CCRT oral exam records. All pretreatment PLT values were acquired on the first day of CCRT. Receiver operating characteristic curve analysis was used to determine the optimal PLT cutoff that divides patients into two subgroups with distinctive ORNJ rates. The primary outcome measure was the association between pretreatment PLT values and ORNJ incidence rates. Results: The incidence of ORNJ was 8.8 % among the 240 LA-NPC patients analyzed. The ideal pre-CCRT PLT cutoff which divided the patients into two significantly different ORNJ rate groups was 285,000 cells/mu L (PLT <= 285,000 cells/mu L (N = 175) vs. PLT > 285,000 cells/mu L (N = 65)). A comparison of the two PLT groups revealed that the incidence of ORNJ was substantially higher in patients with PLT > 285,000 cells/L, than in those with PLT <= 285,000 cells/L, (26.2% vs. 2.3 %; P < 0.001). The presence of pre-CCRT >= 3 tooth extractions, any post-CCRT tooth extractions, mean mandibular dose >= 34.1 Gy, mandibular V57.5 Gy >= 34.7 %, and postCCRT tooth extractions > 9 months after CCRT completion were also associated with significantly increased ORNJ rates. A multivariate Cox regression analysis demonstrated that each characteristic had an independent significance on ORNJ rates after CCRT. Conclusion: An affordable and easily accessible novel biomarker, PLT> 285,000 cells/L, may predict substantially higher ORNJ rates after definitive CCRT in individuals with LA-NPC. (c) 2024 Elsevier Masson SAS. All rights reserved.
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    Comment on "Management of 80 Sinonasal Undifferentiated Carcinomas. Retrospective Multicentre Study of the French Network of Rare Head and Neck Cancers (REFCOR).
    (Başkent Üniversitesi Diş Hekimliği Fakültesi, 2024-06-21) Topkan, Erkan; Somay, Efsun; Selek, Ugur
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    Exploring The Enablers For Building Resilience In Solar Photovoltaic Energy Supply Chains
    (Başkent Üniversitesi İktisadi İdari Bilimler Fakültesi, 2024-05-27) Erol, Ismail; Peker, Iskender; Benli, Tolga; Ar, Ilker Murat; Searcy, Cory
    A solar photovoltaic energy supply chain (SPvESC) is a global network with several linkages, including mineral and metal mining, material processing, and module and panel manufacturing. Due to the wide range of uncertainties and the unfavorable environmental effects associated with current linear business models, this global network is vulnerable to disruptions. Strengthening the resilience of SPvESCs is crucial for addressing any disturbances. This requires identifying the key enablers of resilience in SPvESCs, an area that has been understudied in the existing literature. An enabler is an aspect that facilitates the achievement of a goal by another aspect. This research contributes to the existing literature by systematically investigating the enablers for SPvESCs to achieve resilience. Thus, the objective of this analysis is to identify enablers that have the potential to enhance the resilience of SPvESCs in T & uuml;rkiye. This was done by applying the Nominal Group Technique (NGT) in conjunction with a review of the current literature. Neutrosophic (N)-DEMATEL was then utilized to determine the relationships between the identified enablers. Finally, the results were validated using N-DELPHI. The results revealed that sensing and seizing new business models, adaptability to changes in novel energy generation and information technologies, and business contingency plans for natural and man-made disasters were the most influential enablers. The findings provide implications for practitioners, policymakers, and researchers to help ensure improved resilience in SPvESCs.
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    Nudge Theory On Intrapreneurship: A Conceptual View
    (Başkent Üniversitesi İktisadi İdari Bilimler Fakültesi, 2024-05-31) Ozturk, Alperen; Arun, Korhan
    Purpose - This study aims to discuss appropriate individual, organizational and macroleveled conditions when it is desired to foster intrapreneurship with nudge techniques. Design/methodology/approach - Conceptual paper. Findings - This paper aims to provide theoretical framework on the relationship between nudges approach and intrapreneurship and offer measurable propositions at different level of analysis for future research. Originality/value - At the individual level it is theorized that nudges techniques on intrapreneurship will work when: "agents are aware of being nudged", "choice architect is a well-recognized leader", "perception of meaningful work is high" and "agents had former experience about being nudged". At the organizational level it is claimed that the "number", "type" and "frequency" of nudges plays the prominent role. Lastly, at the macrolevel it is postulated that "cultural adjustments", "providing education" and "forming networks" sets the ground for pushing masses to intrapreneurial activities via nudges.
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    Evaluation Of Different Machine Learning Algorithms For Extraction Decision In Orthodontic Treatment
    (Başkent Üniversitesi Diş Hekimliği Fakültesi, 2024-05-31) Kokturk, Begum; Pamukcu, Hande; Gozuacik, Omer
    IntroductionThe extraction decision significantly affects the treatment process and outcome. Therefore, it is crucial to make this decision with a more objective and standardized method. The objectives of this study were (1) to identify the best-performing model among seven machine learning (ML) models, which will standardize the extraction decision and serve as a guide for inexperienced clinicians, and (2) to determine the important variables for the extraction decision.MethodsThis study included 1000 patients who received orthodontic treatment with or without extraction (500 extraction and 500 non-extraction). The success criteria of the study were the decisions made by the four experienced orthodontists. Seven ML models were trained using 36 variables; including demographic information, cephalometric and model measurements. First, the extraction decision was performed, and then the extraction type was identified. Accuracy and area under the curve (AUC) of the receiver operating characteristics (ROC) curve were used to measure the success of ML models.ResultsThe Stacking Classifier model, which consists of Gradient Boosted Trees, Support Vector Machine, and Random Forest models, showed the highest performance in extraction decision with 91.2% AUC. The most important features determining extraction decision were maxillary and mandibular arch length discrepancy, Wits Appraisal, and ANS-Me length. Likewise, the Stacking Classifier showed the highest performance with 76.3% accuracy in extraction type decisions. The most important variables for the extraction type decision were mandibular arch length discrepancy, Class I molar relationship, cephalometric overbite, Wits Appraisal, and L1-NB distance.ConclusionThe Stacking Classifier model exhibited the best performance for the extraction decision. While ML models showed a high performance in extraction decision, they could not able to achieve the same level of performance in extraction type decision.
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    A Plasma Arc-Based Electromechanical System Designed for Microchannel Processing
    (Başkent Üniversitesi Mühendislik Fakültesi, 2024-05-31) Akin, Fevzi; Ersoy, Ece; Idil, Deniz; Ozsimitci, Melih; Serdaroglu, Dilek Cokeliler; Ic, Yusuf Tansel; Atalay, Kumru Didem; Kocum, Cengiz; Okat, Kemal
    Plasma technology is based on a simple physical principle. When more energy enters the gas, it ionizes and becomes the fourth state of matter, the energy-dense plasma. The studies carried out within the scope of this study were designed to create microchannels on lamellar glass using an improved redesign of the current plasma arc device, which is the main subject of the paper. The created microchannel is examined at the microscale. Experimental analysis was conducted considering the effect of plasma on the effect of microchannel quality. We performed an experimental design study to determine the optimal parameter levels for improving microchannel quality. The predicted results have been validated with the experimental results. An experimental design study provides useful results, such as information about the distance between the probes, pulse duration, and material temperature, which enhances the channel dimensions. The improved device can be utilized effectively to establish microchannel processing in practice.