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Start date: 2014WoS Q: Q3

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Now showing 1 - 10 of 642
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    Article
    Citation - WoS: 38
    Citation - Scopus: 60
    Career Abandonment Intentions among Software Workers
    (Wiley, 2014) Colomo-Palacios, Ricardo; Casado-Lumbreras, Cristina; Misra, Sanjay; Soto-Acosta, Pedro
    Within the software development industry, human resources have been recognized as one of the most decisive and scarce resources. Today, the retention of skilled IT (information technology) personnel is a major issue for employers and recruiters as well, since IT career abandonment is a common practice and means not only the loss of personnel, knowledge, and skills, but also the loss of business opportunities. This article seeks to discover the main motivations young practitioners abandon the software career. To achieve this objective, two studies were conducted. The first study was qualitative (performed through semistructured interviews) and intended to discover the main variables affecting software career abandonment. The second study was quantitative, consisting of a Web-based survey developed from the output of the first study and administered to a sample of 148 IT practitioners. Results show that work-related, psychological, and emotional variable are the most relevant group of variables explaining IT career abandonment. More specifically, the three most important variables that motivate employees to abandon the career are effort-reward imbalance, perceived workload, and emotional exhaustion. In contrast, variables such as politics and infighting, uncool work, and insufficient resources influence to a lesser extent the decision to leave the career. (c) 2012 Wiley Periodicals, Inc.
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    Article
    Trends and Scientific Evolution in Endovascular Aneurysm Repair (EVAR) Research: A Comprehensive Bibliometric Study Using Vosviewer
    (Sage Publications Inc, 2026) Sever, Sinem Nur; Oktem, Hale; Jamil, Yusuf; Pelin, Can
    Background: Endovascular aneurysm repair (EVAR) has become a standard treatment for abdominal aortic aneurysms. However, the evolution of EVAR research and its global landscape remain underexplored. This bibliometric analysis aims to map publication trends, identify key contributors, and analyze thematic shifts in EVAR literature over the past three decades.Methods: Data were collected from the Web of Science Core Collection (SCIE) in May 2025. A total of 4264 original research articles on EVAR were analyzed using VOSviewer for co-authorship, co-citation, and keyword co-occurrence mapping. Citation trends, geographical distribution, and institutional contributions were also assessed.Results: Research on EVAR showed steady growth, with a peak of 295 publications in 2024. The United States contributed the largest share (33.02%) of publications. Prolific authors such as Schermerhorn and Verhagen, affiliated with leading institutions like Harvard University, played a pivotal role in advancing the field. Keyword analysis revealed a shift from technical terms (e.g., "stent graft") to clinical outcomes (e.g., "reintervention") over time. The integration of artificial intelligence (AI) in EVAR research is emerging as a key focus area.Conclusion: This study highlights the growth and evolving focus of EVAR research, with a notable shift toward patient-centered outcomes. Despite strong contributions from high-income countries, there is a significant gap in research from low-resource settings. Future directions should include addressing gaps in radiation safety, emergency EVAR applications, and exploring AI-driven clinical decision-making for personalized treatments. Complex EVAR research continues expanding, reflecting guideline evolution and advancing practice in anatomically challenging cases.Clinical Impact This bibliometric analysis demonstrates how EVAR has progressed from an emerging minimally invasive technique to a guideline driven standard of care, with a growing emphasis on complex fenestrated and branched procedures. For clinicians, the findings clarify where the evidence base is well established, particularly for standard infrarenal EVAR, and where further caution and innovation are required, including complex anatomies, long term durability, and reintervention risk. By synthesizing influential studies, key guideline milestones, and evolving research themes, this study supports evidence based clinical decision making, improves patient counseling, and reinforces the importance of lifelong surveillance. Its innovation lies in translating three decades of global research into clinically actionable insight.
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    Article
    Citation - Scopus: 1
    Stenotic Double-Orifice Mitral Valve After Surgical Repaired Partial Atrioventricular Septal Defect
    (Wiley, 2020) Duran Karaduman, Bilge; Torun, Ayse Nur; Ayhan, Huseyin; Keles, Telat; Bozkurt, Engin
    Double-orifice mitral valve (DOMV) is an uncommon congenital anomaly account for 1% of congenital heart disease. However, accurate diagnosis and evaluation of valve stenosis or regurgitation and other concomitant congenital anomalies due to DOMV are required to obtain suitable treatment. Two- and three-dimensional echocardiography can contribute valuable functional and anatomic information that can support to reach this goal. Here, we present a case of complete bridge-type DOMV that causes mitral stenosis after surgical repair of the partial atrioventricular septal defect in childhood.
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    Article
    ISAR Imaging of Drone Swarms at 77 GHz
    (Tubitak Scientific & Technological Research Council Turkey, 2025) Coruk, Remziye Busra; Kara, Ali; Aydin, Elif
    The proliferation of easily available, internet-purchased drones, coupled with the emergence of coordinated drone swarms, poses a significant security threat for airspace. Detecting these swarms is crucial to prevent potential accidents, criminal misuse, and airspace disruptions. This paper proposes a novel inverse synthetic aperture radar (ISAR) imaging technique for high-resolution reconstruction of drone swarms at 77 GHz millimeter wave (mmWave) frequency, offering a valuable tool for military and defense antidrone systems. The key parameters affecting down-range and cross-range resolution (0.05 m), ultimately enabling the generation of detailed ISAR images are discussed. Here, we create diverse scenarios encompassing various swarm formations, sizes, and payload configurations by employing ANSYS simulations. To enhance image quality, different window functions are evaluated, and the Hamming window is selected due to its highest peak signal-to-noise ratio (PSNR) (16.3645) and structural similarity (SSIM) (0.9067) values, ensuring superior noise reduction and structural preservation. The results demonstrate that the effectiveness of high-resolution ISAR imaging in accurately detecting and characterizing drone swarms pave the way for enhanced airspace security measures.
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    Letter
    The Psychosocial Interventions for the Marmara Earthquake Children Survivors: The Lessons Learned
    (Taylor & Francis inc, 2021) Cihanoglu, Mine; Vatansever, Merve; Erden, Gulsen
    [No Abstract Available]
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    Article
    Citation - WoS: 13
    Citation - Scopus: 14
    The Effect of Strain Rate on the Hydrogen Embrittlement Susceptibility of Aluminum 7075
    (Asme, 2023) Baltacioglu, Mehmet Furkan; Cetin, Baris; Bal, Burak
    The effects of changing the strain rate regime from quasi-static to medium on hydrogen susceptibility of aluminum (Al) 7075 were investigated using tensile tests. Strain rates were selected as 1 s(-1) and 10(-3) s(-1) and tensile tests were conducted on both hydrogen uncharged and hydrogen charged specimens at room temperature. Electrochemical hydrogen charging method was utilized and the diffusion length of hydrogen inside Al 7075 was modeled. Material characterizations were carried out by X-ray diffraction (XRD) and energy dispersive X-ray spectroscopy (EDX) and microstructural observations of hydrogen uncharged and hydrogen charged specimens were performed by scanning electron microscope (SEM). As opposed to earlier studies, hydrogen embrittlement (HE) was more pronounced at high strain rate cases. Moreover, hydrogen enhanced localized plasticity (HELP) was the more dominant hydrogen embrittlement mechanism at slower strain rate but coexistence of hydrogen enhanced localized plasticity and hydrogen enhanced decohesion was observed at a medium strain rate. Overall, the current findings shed light on the complicated hydrogen embrittlement behavior of Al 7075 and constitute an efficient guideline for the usage of Al 7075 that can be subject to different strain rate loadings in service.
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    Article
    Citation - WoS: 1
    Citation - Scopus: 1
    Principal and Nonprincipal Solutions of Impulsive Dynamic Equations: Leighton and Wong Type Oscillation Theorems
    (Springer, 2023) Zafer, A.; Akgol, S. Dogru; Doğru Akgöl, S.
    Principal and nonprincipal solutions of differential equations play a critical role in studying the qualitative behavior of solutions in numerous related differential equations. The existence of such solutions and their applications are already documented in the literature for differential equations, difference equations, dynamic equations, and impulsive differential equations. In this paper, we make a contribution to this field by examining impulsive dynamic equations and proving the existence of such solutions for second-order impulsive dynamic equations. As an illustration, we prove the famous Leighton and Wong oscillation theorems for impulsive dynamic equations. Furthermore, we provide supporting examples to demonstrate the relevance and effectiveness of the results.
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    Article
    Citation - WoS: 27
    Citation - Scopus: 29
    ON α-ψ-GERAGHTY CONTRACTION TYPE MAPPINGS ON QUASI-BRANCIARI METRIC SPACES
    (Yokohama Publ, 2016) Karapinar, Erdal; Pitea, Ariana
    In this paper, we state and prove results regarding alpha-psi-Geraghty contractive mappings in the setting of quasi-Branciari metric spaces. We provide existence and uniqueness results for periodic and fixed points of such mappings.
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    Article
    Citation - WoS: 31
    Citation - Scopus: 51
    Neural Network and Classification Approach in Identifying Customer Behavior in the Banking Sector: a Case Study of an International Bank
    (Wiley, 2015) Ogwueleka, Francisca Nonyelum; Misra, Sanjay; Colomo-Palacios, Ricardo; Fernandez, Luis
    The customer relationship focus for banks is in development of main competencies and strategies of building strong profitable customer relationships through considering and managing the customer impression, influence on the culture of the bank, satisfactory treatment, and assessment of valued relationship building. Artificial neural networks (ANNs) are used after data segmentation and classification, where the designed model register records into two class sets, that is, the training and testing sets. ANN predicts new customer behavior from previously observed customer behavior after executing the process of learning from existing data. This article proposes an ANN model, which is developed using a six-step procedure. The back-propagation algorithm is used to train the ANN by adjusting its weights to minimize the difference between the current ANN output and the desired output. An evaluation process is conducted to determine whether the ANN has learned how to perform. The training process is halted periodically, and its performance is tested until an acceptable result is obtained. The principles underlying detection software are grounded in classical statistical decision theory.