IEU GCRIS Database (İzmir Ekonomi Üniversitesi)
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Taşımacılıkta Alt Tedarikçi Seçiminde İstikrar ve Esneklik Dengesi: Belirsizlik Altında Çift Kanallı Tedarik Yaklaşımı
No full textThe dynamics of supplier-customer relationships have become a critical focus of supply chain management research, emphasising the importance of long-term partnerships for trust and operational continuity. However, such relationships are not without their challenges; risks, opportunism and performance trade-offs are often overlooked. This thesis examines these complexities, particularly in transport procurement, annual contracts and spot markets, and combines risk aversion and Prospect Theory to balance the advantages and disadvantages of continuous cooperation. We have developed a comprehensive mathematical model to measure supplier performance, optimise risks and account for loss of goodwill. Our model offers an innovative approach to risk management, maximising cooperation benefits while minimising risks.Tedarikçi-müşteri ilişkilerinin dinamikleri, güven ve operasyonel süreklilik için uzun vadeli ortaklıkların önemini vurgulayarak tedarik zinciri yönetimi araştırmalarının kritik bir odak noktası haline gelmiştir. Ancak bu tür ilişkilerin zorlukları da yok değildir; riskler, fırsatçılık ve performans değiş tokuşları genellikle göz ardı edilmektedir. Bu tez, özellikle taşımacılıkta satın alma, yıllık sözleşmeler ve spot piyasalarda bu karmaşıklıkları incelemekte ve sürekli işbirliğinin avantaj ve dezavantajlarını dengelemek için riskten kaçınma ve Beklenti Teorisini birleştirmektedir. Tedarikçi performansını ölçmek, riskleri optimize etmek ve iyi niyet kaybını hesaba katmak için kapsamlı bir matematiksel model geliştirdik. Modelimiz risk yönetimine yenilikçi bir yaklaşım sunmakta, riskleri en aza indirirken işbirliğinin faydalarını en üst düzeye çıkarmaktadır
Smart Inbound/Outbound Logistics in Digital Manufacturing
No full textManufacturing processes are directly affected by digital transformation, where all the internal and external processes in the supply chains are varied. In this altering system, smart logistics solutions play a crucial role, which can be categorized as inbound and outbound logistics activities and are vital for efficient manufacturing systems. Inbound logistics focuses on the efficient receipt, storage, and movement of raw materials or components into a manufacturing facility, while outbound logistics deals with the distribution of finished products to customers. By integrating digital technologies, with manufacturing and smart inbound/outbound logistics, systems can enhance visibility, improve demand forecasting, and reduce lead times. From this point of view, this chapter focuses on smart logistics activities in digital manufacturing, and investigate the interaction between digital manufacturing and inbound and outbound logistics activities. With this aim, technologies under digital manufacturing and smart inbound/outbound logistics are explained, and the interaction between them are presented by considering different stages of the manufacturing processes. Furthermore, suggestions for future works, including academic and practical points of view, are presented. © 2025 selection and editorial matter, Abhishek Behl and Brinda Sampat
Energy Storage and Transmission Line Design for an Island System With Renewable Power
No full textKaratas, Mumtaz/0000-0002-6287-3216This paper addresses an energy system design problem for an island system that relies on renewable sources such as wind or solar PV. Typically disconnected from main grids, island systems, i.e., small islands or remote areas, often resort to costly power generation sources such as diesel. The design problem considered here includes the capacity decisions of energy storage systems (ESSs) and transmission lines that minimize total annual operation and investment costs. To address this challenge, we first introduce a deterministic mixed-integer linear program that is immediately extended to consider the stochastic demand and renewable generation via sample average approximation method. We implement our model on a case partly based on El Hierro, a small island in the Canary Islands of Spain. Through our experimental analysis, we generate a number of managerial insights into system design decisions and operational outcomes under a variety of storage characteristics, renewable sources, and spatial considerations
Mushroom Classification Using Machine Learning
No full textNetcetera and Ultra ComputingThis study aims to develop a robust system using image processing and machine learning to accurately differentiate poisonous and non-poisonous mushroom species, addressing the significant public health threat posed by poisonous mushroom consumption. Motivated by the urgent need for an efficient tool to aid mushroom enthusiasts, farmers, and healthcare professionals in real-time identification of harmful species, the research focuses on creating a mobile application capable of processing mushroom images, extracting pertinent features, and employing a well-trained machine learning model for precise toxic and non-toxic categorization. Through a diverse image dataset collection, preprocessing, feature extraction, and rigorous model evaluation, the study endeavors to enhance public safety and encourage the development of similar applications for species identification and environmental protection. Based on the experiments conducted, amongst many machine learning algorithms used to train a proper system to decide whether a mushroom is edible or poisonous, InceptionV3 deep learning model is chosen to be integrated into the mobile application implemented as the endpoint to the users. Additionally, a simple game is also embedded in the mobile app to make the users learn the poisonous mushrooms from their images. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025
The Investigation of Dosimetric Potentials of Surgical Face Masks Using Electron Spin Resonance Spectroscopy
No full textIn this study, the Electron Spin Resonance (ESR) dosimetric potential of surgical face masks was investigated within the intermediate gamma dose range of 0.05-10 kGy. White, blue, and green mask samples were used for this analysis. FTIR and XRD analyses confirmed that all masks were made of polypropylene. No ESR signals were detected in the unirradiated masks. However, in gamma-irradiated samples, resonance signal components at g ; Vert;=2.031 +/- 0.002\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}\end{document} and g perpendicular to=2.007 +/- 0.002\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}\end{document}, associated with peroxy radicals (RO2middle dot>), were observed, with the intensity of the g perpendicular to=2.007 +/- 0.002\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}\end{document} signal increasing exponentially within the investigated dose range. Despite the decrease in radiation-induced signal intensities at room temperature, surgical masks can be considered as emergency dosimeters when other materials suitable for dose estimation are unavailable
Sunitinib in Metastatic Renal Cell Carcinoma: Clinical Outcomes Across Risk Groups in a Turkish Oncology Group Kidney Cancer Consortium
No full textİnşaat Sektöründe Döngüsel Ekonomi İlkelerinin Uyarlanması
No full textThe concept of the circular economy is gaining increasing importance in terms of conserving natural resources, enhancing the effectiveness of waste management, and supporting sustainable development. The construction sector, which accounts for approximately 13% of global GDP and is responsible for nearly 40% of carbon emissions, plays a strategic role in this transition. Numerous practices considered aligned with circular economy principles—such as adaptive reuse, modular design, use of local materials, and industrial symbiosis—have come to the forefront in both academic and applied studies.However, the extent to which these practices align with the principles of circularity is not always clearly articulated, and existing classifications often focus on selected characteristics rather than offering a holistic perspective. There remains a need in the literature for frameworks that systematically and comprehensively evaluate these approaches. Furthermore, varying interpretations iv of the scope of the circular economy lead to conceptual diversity in how practices are assessed.This study aims to develop a more systematic classification of practices in the construction sector based on circular economy principles and to enhance conceptual clarity. In doing so, it seeks to contribute to the existing body of literature while also supporting the development of more structured evaluation methods within the field. Keywords: Circular Economy, Construction Sector, Sustainable Practices, Conceptual Framework, Systematic Classification.Döngüsel ekonomi, doğal kaynakların korunması, atık yönetiminin etkinleştirilmesi ve sürdürülebilir kalkınmanın desteklenmesi açısından giderek daha fazla önem kazanmaktadır. Küresel GSYH'nin yaklaşık %13'ünü oluşturan ve karbon emisyonlarının %40'ına yakınından sorumlu olan inşaat sektörü, bu dönüşümde stratejik bir rol üstlenmektedir. Döngüsel ekonomi ilkeleriyle uyumlu görülen birçok uygulama – adaptif yeniden kullanım, modüler tasarım, yerel malzeme kullanımı ve endüstriyel simbiyoz gibi – günümüzde hem akademik hem de uygulamalı çalışmalarda öne çıkmaktadır.Bununla birlikte, bu uygulamaların döngüsellik ilkeleriyle hangi yönlerden örtüştüğüne dair açıklamaların zaman zaman sınırlı kaldığı ve mevcut sınıflandırmaların çoğunlukla belirli özelliklere odaklandığı görülmektedir. Literatürde, bu yaklaşımları bütüncül ve sistematik biçimde değerlendiren çerçevelere olan ihtiyaç devam etmektedir. Ayrıca, döngüsel ekonominin kapsamına dair farklı yorumlar, uygulamaların değerlendirilmesinde kavramsal çeşitlilik yaratmaktadır.Bu çalışma, döngüsel ekonomi ilkeleri doğrultusunda inşaat sektöründeki uygulamaları vi daha sistemli bir şekilde sınıflandırmayı ve kavramsal açıklığı güçlendirmeyi amaçlamaktadır. Böylece hem literatürdeki yaklaşımlara katkı sağlanması hem de alandaki değerlendirme yöntemlerinin daha yapılandırılmış biçimde geliştirilmesi hedeflenmektedir. Anahtar Kelimeler: Döngüsel Ekonomi, İnşaat Sektörü, Sürdürülebilir Uygulamalar, Kavramsal Çerçeve, Sistematik Sınıflandırm
Impact of Controlled Oxidation and Incorporation of High Entropy Rare-Earth Alloys (HE-REAs) on the Structural, Physical, Optical, and Radiation Shielding Performance of Zinc-Borate Glasses
No full textThis study investigates the influence of high entropy oxide (HEO) and high entropy alloy oxide (HEAO) dopants on the structural, optical, and radiation shielding properties of zinc-borate glasses. Two synthesis routes were employed through direct mechanical alloying of five rare-earth oxides such as Sm2O3, Ho2O3, Er2O3, Yb2O3, Gd2O3 to form (SmHoErYbGd)2O3 HEO, and mechanical alloying of the corresponding rare-earth metals followed by oxidation to produce HEAO of the same elemental composition. The central hypothesis proposed that the dopant structure and oxygen coordination, not just elemental presence, critically influence the on characteristic behaviors in terms of radiation attenuation. Structural analyses confirmed that HEAO-doped glasses exhibit more homogeneous, amorphous networks. Optical characterizations revealed red-shifted absorption edges and lower Urbach energies in HEAO samples, indicating reduced disorder. HEAO-doped glasses showed superior gamma-ray shielding, with higher linear attenuation coefficients and lower half-value layers than HEO or undoped samples. Most notably, HEAO glass achieved the highest fast neutron removal cross-section, surpassing water, graphite, and B4C. These findings demonstrate that rare-earth high entropy alloy oxides offer a structurally optimized pathway for designing next-generation multifunctional glasses for radiation-related applications. © 2025 Elsevier B.V.Princess Nourah Bint Abdulrahman University; Abdulrahman University, (PNURSP2025R149
The Role of Pregnancy in Relapsing-Remitting Ms Prognosis: a Five-Year Study
No full textIntroduction: Multiple sclerosis (MS) frequently affects women during their reproductive years, leading to growing interest in the interaction between pregnancy and MS progression. The relationship between pregnancy and MS prognosis has been widely studied, yet long-term outcomes remain controversial, with studies presenting conflicting results. Aim: This study aims to assess the long-term impact of pregnancy on MS prognosis by examining relapse rates, Expanded Disability Status Scale (EDSS) scores, and MRI activity over three and five years after delivery. Method: A total of 111 women with MS (wwMS) who delivered either preterm or at full term after MS diagnosis were retrospectively studied. The participants were grouped into those who experienced no relapses during pregnancy (NRG) and those who did (RG). A control group of 85 non-pregnant wwMS (NPG) with matched demographic and clinical characteristics was included for comparative analysis. Clinical data such as relapse rates, EDSS scores, and MRI findings were collected and analyzed statistically to determine the potential impact of pregnancy on MS. Result: Of the women who delivered post-MS diagnosis, 11 experienced relapses during pregnancy. There were no significant differences between the three groups regarding prepregnancy annualized relapse rate, EDSS scores, age at diagnosis, age at pregnancy, oligoclonal band positivity, first symptom localization, or disease-modifying therapy use (p > 0.05). Both the NRG and RG groups experienced significantly more relapses compared to the NPG group during the first three and five years post-delivery (p 0.05). Additionally, the RG group had a higher relapse rate in the third year after delivery compared to the NRG group (p 0.05). Conclusion: Having a delivery after an MS diagnosis is associated with increased relapse activity, particularly within the first three years postpartum. However, this heightened relapse activity does not appear to contribute to long-term disability accumulation and MRI activity in wwMS. These findings support the importance of individualized postpartum monitoring
Attitudes Towards Ukrainian Refugees: Insights From the Literature
No full textThe invasion of Ukraine by the Russian Federation in February 2022 prompted a significant influx of Ukrainian refugees into neighboring European countries. Comparative analyses have revealed that Ukrainian refugees generally received more favorable public reception compared to other groups, such as Syrians. This difference has been attributed to the perceived proximity and spillover risk of the war, as well as shared cultural values with Western countries. However, while initial sympathy towards Ukrainians is evident, concerns about economic implications and long-term costs may erode support over time. This highlights the need for sustained inquiry beyond war related empathy and cultural values. In response, this study calls for an in-depth exploration of refugee attitudes, recognizing the multifaceted nature of public opinion. Such understanding is essential for informing policymaking aimed at effectively supporting displaced populations and for fostering a more comprehensive and nuanced understanding of current European responses to the Ukrainian refugee crisis. This paper critically reviews existing literature on public attitudes towards immigrants and refugees, identifying key themes and proposing avenues for future research. © 2024 The European Association for the Advancement of the Social Sciences