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Article Citation - WoS: 33Citation - Scopus: 37Discrete Sizing Optimization of Steel Trusses Under Multiple Displacement Constraints and Load Cases Using Guided Stochastic Search Technique(Springer, 2015) Azad, S. Kazemzadeh; Hasancebi, O.The guided stochastic search (GSS) is a computationally efficient design optimization technique, which is originally developed for discrete sizing optimization problems of steel trusses with a single displacement constraint under a single load case. The present study aims to investigate the GSS in a more general class of truss sizing optimization problems subject to multiple displacement constraints and load cases. To this end, enhancements of the GSS are proposed in the form of two alternative approaches that enable the technique to deal with multiple displacement/load cases. The first approach implements a methodology in which the most critical displacement direction is considered only when guiding the search process. The second approach, however, takes into account the cumulative effect of all the critical displacement directions in the course of optimization. Advantage of the integrated force method of structural analysis is also utilized for further reduction of the computational effort in these approaches. The proposed enhancements of GSS are investigated and compared with some selected techniques of design optimization through six truss structures that are sized for minimum weight. The numerical results reveal that both enhancements generally provide promising solutions with an insignificant computational effort.Article Citation - WoS: 3Citation - Scopus: 7Artificial Intelligence in Education: a Text Mining-Based Review of the Past 56 Years(Springer, 2025) Ekin, C.C.; Cantekin, Ö.F.; Polat, E.; Hopcan, S.Artificial Intelligence in Education (AIED) is a broad and multifarious area of study that spans across various academic fields. Due to the high numbers of studies in this field, it seems too challenging to analyze all of them in depth in a single study. Additionally, there is a lack of research that provides a comprehensive overview of the main trends and topics in AIED. This study, hence, aims to fill this gap by using text mining techniques to examine how artificial intelligence (AI)-related research in education has evolved over time. To this end, a total of 11,027 articles indexed by the Scopus database in the field of education between 1967 and 2023 were examined. Based on the findings, there has been a significant increase in AIED since 2014, covering 73% of the publications. Over the past three decades, AIED research has increasingly concentrated on engineering student populations and conference proceedings. Notably, AI solutions are extensively employed in education, with a strong focus on personalization, assessment, and evaluation. They also play a prominent role in research review processes, such as text mining and topic modeling for summarizing research findings. The findings contribute to the field, enhancing our understanding of the patterns of AI’s integration into education and offering guidance for prospective research endeavors. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.Article Citation - WoS: 26Citation - Scopus: 33Cyberloafing Behaviors Among University Students: Their Relationships With Positive and Negative Affect(Springer, 2023) Metin-Orta, Irem; Demirtepe-Saygili, DilekWith the technological advances, the use of digital devices, such as laptops, tablets, or smartphones in the educational setting has become prevalent among young people. Accordingly, there has been an increased concern among scholars on students' in-class Internet use for personal purposes; namely, 'cyberloafing'. Considerable research has demonstrated the adverse effects of in-class Internet use on students' learning environment and academic performance. The present study particularly investigates the relationship between cyberloafing behaviors and positive and negative affect among university students. It examines five different online activities including sharing, shopping, real-time updating, accessing online content, and gaming/gambling separately to gain greater insight into students' cyberloafing behaviors. The sample consisted of 267 undergraduate students who filled out questionnaires measuring cyberloafing behaviors, positive and negative affect, and demographical information including the use of the Internet and mobile technologies. The initial analyses showed that male students had higher scores in shopping, accessing online content, and gaming/gambling than females. The latent variable analysis revealed that among different activities of cyberloafing, accessing online content and gaming/gambling were positively correlated with positive affect, while sharing was positively associated with negative affect among students. The findings emphasize the importance of evaluating cyberloafing as a part of students' psychological well-being rather than a variable merely related to academic achievement. The findings of the study also enlighten researchers and educators in developing appropriate policies and interventions to manage misuse of the Internet in class.Article Citation - WoS: 6Citation - Scopus: 7The Effect of Social Media Usage, Appearance-Related Social Media Pressure and Body Mass Index on Body Appreciation of Cosmetic Procedure Patients(Springer, 2023) Sonmez, Mehmet; Esiyok, ElifBackground The number of cosmetic procedures has increased in recent years. Social media use and its effects on plastic surgery decisions are among the most widely discussed topics. This study aimed to test a research model that explores the relationship between social media usage frequency, appearance-related social media pressure, and body mass index (BMI) on the body appreciation of patients undergoing cosmetic procedures, and to evaluate their clinical impacts. Methods In total, 136 participants were included in this study, which met and exceeded the sample size requirement. The questionnaire was designed by using reliable scales and demographic data. Partial least squares structural equation modeling was used to test the hypothesized research model. Results The mean age of the participants was 35 years, and 70% had normal BMI scores. Among them, 59.6% underwent invasive procedures and 40.4% underwent minimally invasive procedures. BMI negatively affected body appreciation (beta = 0.199, p < 0.05). Social media did not have a significant effect on appearance-related social media pressure (beta = 0.001, p > 0.05). Appearance-related social media pressure negatively affected body appreciation (beta = - 0.280. p > 0.05). Conclusion Social media is not only an information source but also creates pressure on appearance. Therefore, plastic surgeons should use social media and consider the psychology of patients during their communication.Article Citation - WoS: 22Citation - Scopus: 22Optical Properties of Tlins2 Layered Single Crystals Near the Absorption Edge(Springer, 2006) Qasrawi, A. F.; Gasanly, N. M.The sample thickness effect on the optical properties of TlInS2 layered crystals has been investigated at room temperature. The absorption coefficient of the samples calculated from the experimental transmittance and reflectance in the photon energy range of 1.10-3.10 eV has two absorption regions. The first is a long-wavelength region of 1.16-1.28 eV. The second region lies above 2.21 eV with a thickness-dependent indirect band gap. The energy gap decreases from 2.333 to 2.255 eV as the sample thickness increases from 27 to 66 mu m. The differential spectra of absorption coefficient demonstrates the existence of a thickness-dependent impurity level being lowered from 2.360 to 2.307 eV as sample thickness increases from 27 to 66 mu m. (c) 2006 Springer Science + Business Media, Inc.Article Citation - WoS: 9Citation - Scopus: 12Exosomes as Biomarkers and Therapeutic Agents in Neurodegenerative Diseases: Current Insights and Future Directions(Springer, 2025) Dehghani, Sam; Ocakci, Ozgecan; Hatipoglu, Pars Tan; Ozalp, Veli Cengiz; Tevlek, AtakanNeurodegenerative diseases (NDs) like Alzheimer's, Parkinson's, and ALS rank among the most challenging global health issues, marked by substantial obstacles in early diagnosis and effective treatment. Current diagnostic techniques frequently demonstrate inadequate sensitivity and specificity, whilst conventional treatment strategies encounter challenges related to restricted bioavailability and insufficient blood-brain barrier (BBB) permeability. Recently, exosomes-nanoscale vesicles packed with proteins, RNAs, and lipids-have emerged as promising agents with the potential to reshape diagnostic and therapeutic approaches to these diseases. Unlike conventional drug carriers, they naturally traverse the BBB and can deliver bioactive molecules to affected neural cells. Their molecular cargo can influence cell signaling, reduce neuroinflammation, and potentially slow neurodegenerative progression. Moreover, exosomes serve as non-invasive biomarkers, enabling early and precise diagnosis while allowing real-time disease monitoring. Additionally, engineered exosomes, loaded with therapeutic molecules, enhance this capability by targeting diseased neurons and overcoming conventional treatment barriers. By offering enhanced specificity, reduced immunogenicity, and an ability to bypass physiological limitations, exosome-based strategies present a transformative advantage over existing diagnostic and therapeutic approaches. This review examines the multifaceted role of exosomes in NDDs, emphasizing their diagnostic capabilities, intrinsic therapeutic functions, and transformative potential as advanced treatment vehicles.Article Citation - WoS: 12Citation - Scopus: 11Determination of the Possible Quantum Numbers for the Newly Observed Ξb< State(Springer, 2021) Azizi, K.; Sarac, Y.; Sundu, H.The LHCb Collaboration recently reported the observation of a new excited bottom baryon Xi(b)(6227)(0) and announced an improvement in the measurements related to the previously observed Xi(b)(6227)(-) state. We conduct an analysis for Xi(b)(6227)(0) state considering it as isospin partner of the Xi(b)(6227)(-) resonance and possibly 1P or 2S excited state with spin J = 3/2. The corresponding masses for both possibilities have consistent results with the experimental data, indicating that only with the mass sum rules, one can not make exact decision on the nature and quantum numbers of this state. To go further, the decays of these possible excited states to Xi(-)(b)pi(+) final state are also considered and the relevant strong coupling constants are extracted from the light cone sum rules. The obtained decay width values support the possibility of Xi(b)(6227)(0) to be the 1P excited state of Xi(b)(5945)(0) baryon.Conference Object Citation - WoS: 3Citation - Scopus: 4Production of Ultra-High Molecular Weight Polyethylene-Granite Composite Films by Gelation/Crystallization(Springer, 2016) Efe, Gozde Celebi; Ozaydin, Fevzi; Ucisik, Hikmet; Bindal, Cuma; Liang, HongThe present study reports on film of ultra-high molecular weight polyethylene (UHMWPE) containing 1 mass% granite composite produced by gelation/crystallization technique at 150 A degrees C from decalin solution. The morphology of UHMWPE-granite composite film was determined by using optical and scanning electron microscope, differential scanning calorimetry and Raman. Uniform dispersion of granite particles within ultra-high molecular weight polyethylene solution was the first step to achieve ultra-high molecular weight polyethylene-granite sheet samples with excellent properties. In differential scanning calorimetry analysis 50.1 % crystallinity of ultra-high molecular weight polyethylene-1 mass% granite composite was calculated from the endothermic peak area occurred around 142 A degrees C which correspond to melting point of composite. Mechanical property of ultra-high molecular weight polyethylene-1 mass% granite composite was tested with tensile test and shown to possess unique properties, in particular an increase of over 2.5 times in Young's modulus in comparison with pure ultra-high molecular weight polyethylene.Article Citation - WoS: 9Citation - Scopus: 9The Approximation of Logarithmic Function by q-bernstein Polynomials in the Case q > 1(Springer, 2007) Ostrovska, SofiyaSince in the case q > 1, q-Bernstein polynomials are not positive linear operators on C[ 0, 1], the study of their approximation properties is essentially more difficult than that for 0 < q < 1. Despite the intensive research conducted in the area lately, the problem of describing the class of functions in C[ 0, 1] uniformly approximated by their q-Bernstein polynomials ( q > 1) remains open. It is known that the approximation occurs for functions admitting an analytic continuation into a disc {z : | z| < R}, R > 1. For functions without such an assumption, no general results on approximation are available. In this paper, it is shown that the function f ( x) = ln( x + a), a > 0, is uniformly approximated by its q-Bernstein polynomials ( q > 1) on the interval [ 0, 1] if and only if a >= 1.Article Citation - WoS: 8Citation - Scopus: 10Proposing a novel mixed-reality framework for basic design and its hybrid evaluation using linkography and interviews(Springer, 2022) Cindioglu, Hasane Ceren; Gursel Dino, Ipek; Surer, ElifImmersive Virtual Environments (IVEs), particularly Mixed-Reality (MR) technologies, continue to have an increasing impact on design processes and design education. This study focuses on MR's potentials in Basic Design (BD) education and its influence on novice designers' design thinking abilities. In this study, through a newly developed MR-based design framework, DesignMR, a comparative analysis between design processes in MR and the physical environment is presented. A hybrid evaluation methodology is used in the context of three-dimensional (3D) BD tasks through two sets of protocol studies: Linkography and exit interviews. Linkography is a method to analyze the design process based on detecting design moves and their links with each other. In this study, linkographic analyses point to an increase in critical moves and link index values in MR as compared to the physical environment for all participants. This indicates that MR can trigger improved creativity, design productivity, and design exploration by idea generation. Exit interviews highlighted the positive impact of DesignMR on the motivation, work efficiency, and 3D perception of the participants. Further research will be pursued for improved hand gestures to increase the effectiveness of object interaction.
