Scopus

Permanent URI for this collectionhttps://ada.atilim.edu.tr/handle/123456789/19

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Comparative Simulation of Pi and Fuzzy Control for Fluid Catalytic Cracking Unit
(Iranian Institute of Research and Development in Chemical Industries, 2025) Atiyaha, S.K.; Al-Timimi, B.A.; Ali, A.Y.; Salih Ahmed, M.; Albayati, T.M.; Abdullah, G.H.; Mel, M.
The fluid catalytic cracking unit converts heavy feedstocks into more valuable gasoline and oil products, representing an essential component in refineries. The variables, including gas oil supply temperature (Tf), gas oil supply flow rate (Ff), and air temperature (Ta), are controlled and manipulated by this unit, which poses a significant challenge due to its complex interactions. To address these complexities, this study investigates the control of riser and regenerator temperatures (TR, TG) in an industrial Universal Oil Products (UOP) fluid catalytic cracking unit using proportional-integral and fuzzy logic controllers. The fuzzy logic controller, with five fuzzy sets generating 25 rules, is implemented through MATLAB simulation. The simulation program is formulated based on the principles of mass and energy balance of the unit. The performance of the controllers, including PI and fuzzy logic controllers, is evaluated and compared by introducing disturbances in the gas oil supply temperature, gas oil supply flow rate, and air temperature. The results show that the fuzzy logic controller outperforms the PI controller, exhibiting a lower integral absolute error. Compared to the PI controller, the fuzzy logic controller demonstrates improved performance, characterized by stable responses and shorter settling times. These findings highlight the effectiveness of the fuzzy logic controller in achieving better control performance for Fluid Catalytic Cracking Units (FCCU). © 2025, Iranian Institute of Research and Development in Chemical Industries. All rights reserved.
Complex Partial Differential Equations
(Springer, 2025) Aksoy, Ü.; Begehr, H.; Çelebi, A.; Shupeyeva, B.
The Schwarz and iterated Dirichlet boundary-value problems are reported on for the polyanalytic operator in certain plane domains having a harmonic Green function. Hybrid polyharmonic Green functions are reviewed upon which open a variety of boundary-value problems for the polyharmonic operator. This topic is far from being complete. The higher the order of the polyharmonic operator the richer is the theory of related hybrid Green functions: they are constructed by continued convoluting harmonic Green, Neumann, Robin functions also incorporating polyharmonic Green–Almansi functions. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2025.
Investigating the Barriers To the Adoption of 3d Printing Technology in the Turkish Construction Industry
(Springer Science and Business Media Deutschland GmbH, 2025) Latifiilkhechi, L.; Aminbakhsh, S.; Akcay, E.C.
In recent years, 3D printing has emerged as a transformative force in construction technology. This innovative technology has found applications in many construction and bridge-building projects, starting a new era of automation and efficiency. Notably, the impact of 3D printing on the construction industry has been profound, yielding benefits such as reduced labor requirements, minimized material waste, accelerated project timelines, and a significant reduction in hazardous tasks for human workers. In contrast to conventional construction approaches, 3D printing stands out for its environmentally friendly characteristics, challenging traditional notions of geometric complexities and constraints in construction processes. While 3D printing technology undeniably offers a multitude of advantages over traditional methodologies, it is crucial to acknowledge that it also introduces its own set of unique challenges and risks. The main aim of this study is to investigate the barriers that hinder the adoption of 3D printing technology in the Turkish construction industry. Towards this, first, the list of potential barriers was extracted from multiple reputable sources, including Scopus, ScienceDirect and Web of Science databases. Based on this list, an online questionnaire was prepared to assess the impact of 19 potential barriers on the implementation of 3D printing technology in the Turkish construction industry. The findings and research directions articulated in this study create fresh pathways for further inquiry and substantial contributions to the evolving field of 3D printing in the construction industry. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
Galapagos Giant Tortoise Mating Algorithm: Revolutionizing Wireless Charging Trajectories and Secure Data Transmission in Sustainable Power Plants
(Elsevier B.V., 2025) Gharaei, N.; Alabdali, A.M.; Almagrabi, A.O.; Hosseingholipourasl, A.
This paper presents the Galapagos Giant Tortoise Mating Optimization Algorithm (GGTMOA), a novel nature-inspired metaheuristic developed to optimize the trajectory paths of Wireless Mobile Chargers (WMCs) and ensure secure data transmission in power plants. The algorithm addresses critical challenges such as energy-efficient charging, the spatial distribution of wireless sensor nodes, limited operational energy resources, dynamic trajectory planning, and data encryption for secure communication. Inspired by the unique mating behaviors of galapagos giant tortoises, GGTMOA achieves a robust balance between exploration and exploitation through innovative initialization techniques, movement strategies, mating mechanisms, and selection processes. In this study, the proposed algorithm is first employed to optimize the trajectory paths of WMCs, addressing key challenges in energy-efficient charging and dynamic path planning. Following this, the algorithm integrates advanced encryption methods to ensure the secure transmission of data between sensor nodes and base stations, safeguarding sensitive information and enhancing the overall security of the system. This two-fold approach not only optimizes charging efficiency and reduces energy consumption but also fortifies data communication, making the system more robust and reliable in industrial environments. Simulation results demonstrate that GGTMOA outperforms existing metaheuristics by generating optimal trajectories that enhance charging efficiency, reduce energy consumption, ensure secure data communication, and satisfy plant-specific energy constraints. These findings establish GGTMOA as a powerful tool for sustainable energy management, wireless charging optimization, and secure data handling in industrial environments. © 2025
Molecular/Antigenic Mimicry and Immunological Cross-Reactivity Explains Sars-Cov Autoimmunity
(Elsevier B.V., 2025) Adiguzel, Y.; Bogdanos, D.P.; Shoenfeld, Y.
COVID-19 pandemic is over, but its effects on chronic illnesses remain a challenging issue. Understanding the influence of SARS-COV-2-mediated autoimmunity and overt autoimmune disease is of paramount importance, as it can provide a critical mass of information regarding both infection-mediated (and vaccination-induced) autoimmune phenomena in susceptible individuals during the disease course, and short or long-term post-disease sequelae. The high prevalence of organ and non-organ specific autoantibody positivity in patients with COVID-19 led to studies attempting to delineate the origin and the underlying mechanism responsible for their induction nature, identifying novel autoantigens, and the self-epitope sequences which could be the impetus for the initiating autoreactive responses. Herein, we provide a meticulous review of the studies reporting those mimicking sequences that have been experimentally validated, based on the assumption that molecular mimicry and immunological crossreactivity may account for autoantibody development. Most reports are based on bioinformatics approaches, and only a disproportionally small number of studies currently demonstrate immunological crossreactivity. We took the opportunity to further review and searched for the linear human epitope sequences of human, through the epitopes deposited at the Immune Epitope Database. This included an analysis of autoimmune disease as the disease data to comprehensively understand the subject matter. The critical overview of the findings underscore the urgent and immense need for further research to gain a comprehensive understanding of the mechanisms involved and the anticipated appraisal that molecular mimicry and immunological crossreactivity is indeed central to the loss of immunological tolerance during SARS-COV-2 infection. © 2025 Elsevier B.V.
Effect of Tool Cavity Conditions on Damping, Chatter Mitigation, and Surface Quality in Internally Cooled Milling Tools
(Elsevier B.V., 2025) Namlu, R.H.; Dogan, H.; Ozsoy, M.
Chatter is a critical factor limiting productivity and efficiency in machining processes. Cutting tools significantly impact chatter stability, as they often serve as the most flexible component. The influence of cutting tools on chatter varies depending on their design and cooling mechanisms. Internally cooled cutting tools, commonly used in industrial applications, have the potential to exhibit distinct damping characteristics due to the presence of internal cavities, differentiating them from conventional solid tools. This study explores the effects of internally cooled milling cutting comparing an empty cavity cutting tool with a tool filled with viscous fluid. The primary objective is to evaluate how these conditions influence the damping of the machining system and their subsequent impact on surface quality, a key outcome sensitive to chatter. Surface topography and roughness measurements were taken after the experiments to assess changes in surface quality. The findings offer valuable insights into the role of internal cooling and fluid properties in not only chatter but also vibration suppressions in milling operations, highlighting their potential to enhance machining performance. © 2025 The Author(s).
The Proprioceptive Puzzle: An Observational Study Investigating the Effects of Cervical Proprioceptive Errors on Quantitative Sensory Testing and Body Awareness in Young Individuals
(Public Library of Science, 2025) Acet, N.; Begen, S.
Objective The present study investigates the effects of cervical proprioceptive errors (CPE) on body awareness and quantitative sensory testing (QST), including the pressure pain threshold, temporal summation, and conditioned pain modulation in young individuals. Materials and methods Included in this prospective cross-sectional study were 78 participants who were divided into two groups based on the presence or absence of CPE. The study was registered on ClinicalTrials.gov with the clinical trial number [NCT06559397]. Cervical proprioception was measured using the “head position error test”, body awareness was assessed using the “Body Awareness Questionnaire”, QST was assessed using a mechanical pressure algometer, and conditioned pain modulation was evaluated using cold stimulus. Results The study revealed a significant reduction in body awareness among those with CPE (p < 0.001), while no significant differences were found between the groups in terms of QST, including the pressure pain threshold, temporal summation, and conditioned pain modulation (p > 0.05). Conclusions CPE can have a significant impact on body awareness, leading to a decrease in the ability to perceive one’s own body. While the present study offers no significant findings related to QST, it provides new insights into the relationship between proprioception, body awareness, and pain processing mechanisms. Clinically, the results suggest the importance of integrating interventions aimed at enhancing body awareness into the treatment protocols of patients with CPE. © 2025 Acet. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Text Mining and Topic Modeling in Education: Revealing Insights From Educational Textual Data
(Springer Nature, 2025) Ekin, C.Ç.; Sabamehr, M.
This book chapter explores the transformative potential of text mining and topic modeling in the field of education. With the exponential growth of digital educational content, the need for effective analysis and understanding of large-scale textual data has become crucial. The chapter provides an overview of text mining techniques, covering data preprocessing and information retrieval. It delves into topic modeling algorithm, Latent Dirichlet Allocation (LDA), and its applications in extracting latent themes from educational texts. The chapter highlights the diverse applications of text mining in education, such as analyzing student essays, academic publications, and online discussions. Leveraging sentiment analysis and opinion mining, it enables educators and administrators to gauge learner emotions and attitudes. Ethical considerations, including data privacy and bias, are also discussed, emphasizing the responsible use of text-mining technologies in educational contexts. In conclusion, “Text Mining and Topic Modeling in Education” serves as a valuable resource for educators, researchers, and policymakers, facilitating data-driven decision-making and fostering innovation in education. By empowering stakeholders with powerful analytical tools, this chapter propels education toward evidence-based practices and a more informed, equitable future. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
Analysis of the B(S) → T(jp=2-) Transition in Light Cone Qcd Sum Rules
(American Physical Society, 2025) Aliev, T.M.; Sarac, Y.
The semileptonic B(s) → T(JP=2-)l+l- decays induced by flavor changing neural currents are investigated within the light cone quantum chromodynamics (QCD) sum rule method in the leading order of O(αs). We apply the B meson distribution amplitudes up to twist-4 and calculate the relevant form factors of the B(s)→T transitions, where T=K2,a2,f2,φ2 with JP=2-. The obtained results of the form factors then adopted in the calculations of the corresponding widths. The present results can be used in future experiments for studying the properties of JP=2- tensor mesons. © 2025 authors. Published by the American Physical Society.
Reliability and Optimal Age-Based Replacement Policy for Consecutive 2-Out System Equipped With Protection Blocks
(Elsevier Ltd, 2025) Eryilmaz, S.
This paper concerns the reliability evaluation and optimal age-based replacement policy for the linear consecutive 2-out-of-n:G system whose two consecutive components are protected by a block that has its own failure rate. Two alternative methods are proposed to compute the reliability of the system. The first method is based on direct probabilistic approach and uses the reliability of the ordinary consecutive 2-out-of-n:G system. The second method is based on the concept of survival signature. Closed form equations for the system reliability and the mean number of failed components within the system are obtained. The optimal age-based replacement policy is also defined and studied. Extensive numerical results are presented to illustrate the findings. © 2025 Elsevier Ltd
Static and Dynamic Connectedness Between Green Bonds and Clean Energy Markets
(Springer International Publishing, 2024) Şahinler, A.N.; Ozbugday, F.C.; Basci, S.; Omay, T.
The green bond market has become one of the most promising mech-anisms to raise financial sources for projects with environmental benefits that not only achieve carbon–neutral goals but also allow to diversify the risk and hedging. In this study, we examine the possible interdependence between the green bond market and seven energy markets, including Wilder Hill Clean Energy Index, S&P Global Clean Energy Index, Nasdaq Clean Edge Green Energy, Ardour Global Solar Energy Index, S&P Global Water Index, and MSCI Global Green Building Index using Diebold and Yilmaz’s (2012) spillover framework. Our findings show that movements in the clean energy market have a spillover effect in the green bond market. Additionally, the spread of risk is asymmetrical. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
The Evaluation of P-Wave Parameters in Patients With Percutaneous Closure of Atrial Septal Defect
(Wiley, 2025) Astan, Ramazan; Kacmaz, Fehmi; Saricam, Ersin; Ilkay, Erdogan
Background: Atrial septal defect (ASD) can lead to volume overload and related changes in P-wave parameters in surface electrocardiograms of these patients. In this study, we aimed to evaluate the effect of volume overload on P-wave parameters in patients with ASD. Materials and methods: This study is a retrospective cohort analysis. A total of 142 patients with secundum ASD who underwent percutaneous closure were evaluated. P-wave duration (Pmax) and P-wave dispersion (PWD) were measured on the surface ECG before and 1 h after the closure procedure. We evaluated P-wave parameters in terms of defect size, duration of the volume overload, and closure device sizes. Results: Pmax and PWD were significantly decreased after the procedure compared with the values before the procedure (p < 0.001). Pmax values had a statistically significant correlation with ASD size (< 20 mm or >= 20 mm) both before and after the procedure. Pmax values were significantly higher in patients older than 30 years of age (119.6 +/- 19.5 vs. 102.7 +/- 17.1 ms, respectively; p = 0.039). A significantly positive correlation was found between pre- and post-procedural Pmax and defect sizes (r = 0.474, p = 0.019 and r = 0.4233, p = 0.04, respectively). However, no positive correlation between PWD and defect age and size was present. Conclusion: Percutaneous closure of ASD is associated with an immediate decrease in both Pd and Pmax that seems to be related to the acute volume overload cessation in cardiac chambers.
Challenges Faced by Pediatric Patients With Multiple Sclerosis During Disease Progression and Treatment: A Multicenter Cross-Sectional Study in Turkiye
(Asean Neurological Assoc, 2025) Yuksel, Didem; Yardimci, Figen
Background & Objective: Multiple sclerosis is a chronic and progressive disease characterized by inflammation, demyelination and degeneration of the central nervous system. This study aimed to describe the sociodemographic and clinical characteristics of children with multiple sclerosis. Methods: The cross-sectional study was collected data from 120 children who met the research criteria and were under follow-up at 7 hospitals in T & uuml;rkiye between August 2021 and February 2022. Ethical approval was obtained from the Medical Research Ethics Committee of Ege University. The researchers developed the "The Sociodemographic Form "used in the study by based on a comprehensive literature review and previous research experiences. The form was used according to expert opinion. Results: The study included 120 eligible patients, of whom 71.2% were girls. The mean age (+/- SD) at disease onset was 13.6 +/- 2.2 years, while the mean age at the time of the study was 15.7 +/- 1.5 years. Most of the participants were high school students (84.2%), and 53.3% resided in metropolitan areas. All participants were receiving disease-modifying therapy. The study found that 67.5% of the children had school absenteeism due to the disease. Furthermore, 75% of the children experienced supratentorial symptoms, with 50% presented with optic symptoms, and 37.5% exhibiting brainstem symptoms prior to diagnosis. Drug-related side effects were reported in 58.3% of children. Additionally,99.2% of the children received information about the disease. Furthermore, 75% of the children experienced challenges during the disease and treatment process. Among these children who encountered difficulties, 52.5% reported psychological problems, 42.5% experienced side effects due to medication, 42.5% had difficulty accessing accurate and sufficient information about disease and treatment management, 32.5% encountered social and school-related issues, and 5.8% had concerns related to the clinical environment. Conclusion: Childhood multiple sclerosis is more prevalent among girls, particularly in the relapsing-remitting form. The most commonly used treatments for pediatric multiple sclerosis include interferon beta-1a and glatiramer acetate. The findings of this study indicate that a significant proportion of participating children encountered challenges during the disease and treatment process, with more than half experiencing drug-related side effects. These challenges underscore the potential negative impact on treatment adherence in this population.
Afthd: Bayesian Accelerated Failure Time Model for High-Dimensional Time-To Data
(Springernature, 2025) Kumari, Pragya; Bhattacharjee, Atanu; Vishwakarma, Gajendra K.; Tank, Fatih
Analyzing high-dimensional (HD) data with time-to-event outcomes poses a formidable challenge. The accelerated failure time (AFT) model, an alternative to the Cox proportional hazard model in survival analysis, lacks sufficient R packages for HD time-to-event data under the Bayesian paradigm. To address this gap, we develop the R package afthd. This tool facilitates advanced AFT modeling, offering Bayesian analysis for univariate and multivariable scenarios. This work includes diagnostic plots and an open-source R code for working with HD data, extending the conventional AFT model to the Bayesian framework of log-normal, Weibull, and log-logistic AFT models. The methodology is rigorously validated through simulation techniques, yielding consistent results across parametric AFT models. The application part is also performed on two different real HD liver cancer datasets, which reveals the proposed method's significance by obtaining inferences for survival estimates for the disease. Our developed package afthd is competent in working with HD time-to-event data using the conventional AFT model along with the Bayesian paradigm. Other aspects, like missing values in covariates within HD data and competing risk analysis, are also covered in this article.
Dead Cell Discrimination With Red Emissive Carbon Quantum Dots From the Medicinal and Edible Herb Echinophora Tenuifolia
(Springer/Plenum Publishers, 2025) Ozdemir, Naciye; Tan, Gamze; Tevlek, Atakan; Arslan, Gulsin; Zengin, Gokhan; Sargin, Idris
Accurately determining the viability of cells is crucial for in vitro cell research. Fluorescence-based live/dead cell staining is a highly desirable method to assess cell viability and survival in in vitro studies. We describe a green synthesis method to create red-emissive CQDs from the medicinal and edible herb Echinophora tenuifolia using microwave irradiation. We observed that the biocompatibility and photostability of the CQDs are superior. The antioxidant capacity of the CQDs and the plant extract were also investigated using different chemical methods (DPPH, ABTS, CUPRAC, FRAP, PBD, and MCA). The antioxidant capacity of the CQDs was similar to that of the extract of E. tenuifolia. Cytotoxicity studies indicate that while the CQDs are not toxic to L929, they exhibit significant toxicity towards HepG2 cells. The CQDs exhibited a strong negative zeta potential (-44.0 mV), which contributed to their selective interaction with dead cells while being repelled by viable cells with intact membrane potentials. The optimal concentration for effective, non-toxic imaging was determined to be 25 mu g/mL, as lower concentrations did not produce detectable fluorescence. Differential staining experiments confirmed that CQDs selectively stained dead cells, with red fluorescence observed under the Texas Red filter. Moreover, CQDs exhibited favorable fluorescence intensity and stability, which may offer advantages for long-term and reliable bioimaging applications. In vitro studies on HepG2 and L929 cell lines revealed that the red-emissive CQDs from E. tenuifolia can be potentially used in bioimaging.
Polysulfur Copolymer as a Support Material for the Preparation of a Novel Multifunctional Photocatalytic Composite Material
(Springer, 2025) Kesimal, Busra; Guner, Zuhal Vanli; Cihaner, Atilla; Kaya, Murat
One-step addition of magnetic nanoparticles and titanium dioxide nanoparticles into polysulfur copolymer as cheap and available support was reported for the first time to prepare the magnetically separable heterogeneous catalyst, PolyS-MNP-TiO2. The photocatalytic activities of the PolyS-MNP-TiO2 composite material and its constituents were examined in the methylene blue (MB) degradation, textile-based wastewater simulant, exposed to solar light. Detailed characterization of the catalysts was performed with SEM, TEM, and EDX measurements. The photocatalytic activity of the resulting composite was figured out in the removal of methylene blue dye by using a solar simulator. Significantly, the as-prepared PolyS-MNP-TiO2 exhibits exceptional photocatalytic activity and total degradation of dye molecules was achieved in 60 min. Additionally, the prepared novel photocatalyst showed enhanced stability and reusability due to the magnetic behavior of the composite material and the same portion of catalyst was used in five successive tries without apparent loss in catalytic activity by eliminating long and work-loaded processes like filtration and centrifugation.
An Activity-Based Lessons Learned Model To Support Scheduling Decisions in Construction
(Emerald Group Publishing Ltd, 2025) Yilmaz, Anil; Akcay, Emre Caner; Dikmen, Irem; Birgonul, M. Talat
PurposeThe aim of this study is to develop an activity-based lessons-learned model that allows construction companies to capture, store, classify and reuse activity-related lessons learned (LL) from previous projects, thereby increasing the reliability of time estimates in scheduling.Design/methodology/approachScheduling is a knowledge-intensive process that requires the utilization of data and expert opinion elicitation from various levels of an organization in construction projects. This research consists of five successive steps: performing a needs analysis, proposing an activity-based lessons-learned process model, validating the proposed process model, developing a tool to apply the proposed model in a computer environment and testing the applicability of the tool. To implement the proposed model in practice, a web-based tool, namely the Construction Industry Scheduling with Activity-Based Lessons Learned Tool (ConSALL Tool), was developed. Its functionality was evaluated using black-box testing. The tool was then applied in a real construction project.FindingsResults show that ConSALL has the potential to improve scheduling decisions in construction projects by incorporating data and experience from previous projects. Findings from this research can be used to develop similar models and AI tools to foster activity-based learning in other project-based industries as well as the construction industry.Originality/valueThis paper presents an innovative approach to enhancing construction project scheduling by leveraging LL from past projects. The development and application of the ConSALL Tool demonstrate a practical implementation of the proposed model, providing a framework that can be adapted to other industries to improve project planning and execution.
Observations on Nist Sp 800-90b Entropy Estimators (Jan, 10.1007/S12095-025-00778-7, 2025)
(Springer, 2025) Aslan, Melis; Doganaksoy, Ali; Saygi, Zulfukar; Turan, Meltem Sonmez; Sulak, Fatih
Effect of Ti-V and Nb Addition on the Properties of Almg7cu1.2 Alloy
(Springer Int Publ Ag, 2025) Gul, Armagan; Dispinar, Derya; Aslan, Ozgur
In the development of aluminum casting alloys, considerable attention is given to the impact of various alloying elements, with numerous studies exploring how these elements influence the material's properties. However, the selection of alloying elements alone does not ensure optimal final quality. The casting process and melt treatment methods also play a critical role in achieving a defect-free structure, particularly when paired with defect characterization and final property assessment. Therefore, it is essential to investigate the interplay between alloying element choice, melt treatment, and defect evaluation in tandem. In this study, copper and magnesium main alloying elements have been chosen along with master alloys of Ti-V-Nb as grain refiners for the aluminum cast alloy. Phase formations have been investigated by simulated phase diagrams. Casting experiments have been done using a tilt pouring method into sand molds, and small bubble degassing equipment has been used to ensure the alloying and melt quality satisfying required mechanical strength. Composition and alloying have been validated by spectral analysis and XRF measurements. Microstructural analyses have been performed by both digital microscopy and scanning electron microscopy. EDS mappings have been carried out for alloying elements distributions. Internal defect distribution and defect structure have been evaluated by computed tomography (CT) scans. Both as-cast and heat-treated specimens have undergone tensile and hardness tests to characterize the mechanical behaviors. CT scans and mechanical behaviors have beencorrelated, and defect metrics have been investigated and classified according to defect surface, defect volumes and projected areas on XY-XZ-YZ planes. Contour maps of defect metrics and tensile properties have been analyzed to generate input to finite element simulations for latter stages studies, and correlation of strength-defect regressions has yielded parametric results to understand structural defects-mechanical performance relations. GTN and Beremin localization models capable of depicting material behavior in the presence of defects have been used to link the experimental and virtual validation assessments. In view of test results, a maximum of 0.125 wt% Nb content in AlMgCu-TiV alloy has been proposed having a tensile strength reaching 300 MPa-7.5% elongation at 0.75% Nb content with grain refinement effect owing to Al-Nb, Al-Ti, Al-V aluminide particles and good dispersion of Nb, Ti, V elements on the microstructure as assessed by EDS mapping. CT scan reconstruction images and metrics have successfully connected tensile strength and elongation with defect volume and defect surface area for the proposed alloy. In this context, the volume and surface area of defects have been evaluated as critical metrics in evaluating the mechanical properties of Al7MgCu1.2 cast alloys. Defect localization and failure point detection during plastic deformation zone have been demonstrated by Beremin model which can lead to future studies leveraging these metrics to validate material strength using damage models such as Gurson, GTN or Beremin for crack initiation and propagation methodologies.
Marshall Plan or a Mediator: The Intellectual Structure of the Management Studies in Europe
(Inderscience Enterprises Ltd, 2025) Sozen, Hulusi Cenk; Kirkbesoglu, Erdem; Tuzlukaya, Sule; Cakar, Mehmet
This study aims at examining the role of European Management Review (EMR) within the on-going paradigmatic debates between Europe and North America concerning management and organisational research. Ten years worth of bibliometric data of the journal was gathered. Citation patterns of EMR authors were analysed according to which journals they preferred to refer to more frequently. Citation patterns of authors from sub-regions of Europe were also compared to test whether heterogeneity exists in terms of academic resource usage. The findings highlight that EMR has successfully constructed a bridge between research traditions of two continents. Qualitative, macro and theoretical articles, which are significant characteristics of the European paradigm, have a considerable rate of acceptance in EMR. Besides obeying local rules of scientific inquiry, the majority of European authors have decided to use influential North American journals. EMR has partially found a way to unify the fragmented research efforts in different parts of Europe.

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