Recep Tayyip Erdoğan Üniversitesi Kurumsal Akademik Arşivi
DSpace@RTEÜ, Recep Tayyip Erdoğan Üniversitesi tarafından doğrudan ve dolaylı olarak yayınlanan; kitap, makale, tez, bildiri, rapor, araştırma verisi gibi tüm akademik kaynakları uluslararası standartlarda dijital ortamda depolar, Üniversitenin akademik performansını izlemeye aracılık eder, kaynakları uzun süreli saklar ve yayınların etkisini artırmak için telif haklarına uygun olarak Açık Erişime sunar.
Güncel Gönderiler
Relationship between meteorological variability and pollen sensitization over the past 10 years
(Bangkok Medical Publishers, 2025) Akkuş, Fatma Arzu; Çölkesen, Fatih; Gerek, Mehmet Emin; Önalan, Tuğba; Evcen, Recep; Sadi Aykan, Filiz; Arslan, Şevket
Introduction
Allergic diseases are hypersensitivity disorders of
the immune system induced by an allergen-specific
immunoglobulin E (IgE)-mediated response. Aero-allergens
play a significant role in the pathogenesis of allergic
diseases. The increasing prevalence of allergic diseases over
time highlights the importance of environmental factors.1
The atmospheric content of aero-allergens varies across
different regions, depending on climate type, geography,
and vegetation. Pollen, molds, house dust mites, and pets
are the most common aero-allergens.2
Turkish Society of Radiology artificial intelligence applications guide: a roadmap to help navigate the artificial intelligence landscape
(Galenos Publishing House, 2025) Dicle, Oğuz; Atak, Fırat; Şenol, Abdullah Utku; Özmen, Mustafa Nasuh; Hürsoy, Nur; Gezer, Naciye Sinem; Aydıngöz, Üstün
This article introduces the artificial intelligence (AI) applications guide developed by the
Turkish Society of Radiology (TSR) and provides a commentary on its framework, strengths,
and areas for future development. The proliferation of accessible data, accelerated information processing capabilities, and the development of advanced algorithmic tools such as convolutional neural networks have led to a significant leap in AI studies. The field of radiology,
with its growing imaging workload and reliance on archivable data, has naturally assumed a
pioneering role in AI applications.
Prevalence and phylogenetic network analysis of nosema apis and nosema ceranae isolates from honeybee colonies in turkiye (vol 69, pg 1538, 2024)
(Springer, 2025) Akpınar, Rahşan Koç; Güler, Ali Tümay; Bölükbaş, Cenk Soner; Kaya, Selma; Bozdeveci, Arif; Karaoğlu, Şengül Alpay; Kurt, Mitat
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Letter: Serum uric acid and crp/albumin ratio with contrast-induced nephropathy in patients with acute myocardial infarction
(SAGE Publications, 2025) Aydın, Cihan; Demirkıran, Aykut; Orta, Hüseyin; Emlek, Nadir
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Comprehensive insights into electric vehicle classification and lithium-ion battery technologies: Applications, disposal, and thermal management
(Turk Isi Bilimi ve Teknigi Dernegi, 2025) Cüce, Pınar Mert; Genç, Gamze; Cüce, Erdem; Genç, Mustafa Serdar; Alvur, Emre; Hatem, Muhammed
Electric vehicles (EVs) have emerged as a critical solution to reducing greenhouse gas (GHG) emissions in the transportation sector. However, the effectiveness and sustainability of EVs are closely tied to the performance and environmental impact of lithium ion batteries (LIBs). This study provides an in-depth exploration of LIB technologies, focusing on battery thermal management systems (BTMSs), recycling processes, and the environmental consequences of large-scale battery deployment. We compare different battery types, including lithium-ion, nickel-metal hydride, lead-acid, and metal-air batteries, presenting their advantages, limitations, and sustainability metrics in a comprehensive table. Furthermore, this work investigates a variety of cooling methods, air, liquid, phase change material (PCM), and thermoelectric systems, highlighting their effects on battery lifespan, efficiency, and safety. The analysis extends to the environmental impacts of LIB production and disposal, exploring recycling technologies like pyrometallurgical, hydrometallurgical, and direct recycling processes. By integrating intelligent cooling systems and addressing challenges in waste management, this research bridges a crucial gap in the literature, offering innovative solutions to enhance LIB efficiency, longevity, and sustainability in EV applications.
