IEU GCRIS Database (İzmir Ekonomi Üniversitesi)
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Sunitinib in Metastatic Renal Cell Carcinoma: Clinical Outcomes Across Risk Groups in a Turkish Oncology Group Kidney Cancer Consortium
No full textCradle-To Life Cycle Assessment of Heavy Machinery Manufacturing: a Case Study in Türkiye
No full textPurpose: Amidst accelerated industrialization and urbanization, the surge in heavy equipment production, crucial for construction, mining, industry, and transportation, necessitates a comprehensive examination of its environmental implications from a sustainability standpoint. This study aims to scrutinize the environmental impacts of manufacturing forklifts and semi-trailers in Türkiye, employing the life cycle assessment (LCA) methodology. Methods: The life cycle assessment (LCA) methodology is the foundational framework for evaluating the environmental impacts associated with forklift and semi-trailer manufacturing. A cradle-to-gate approach was employed. CCaLC2 software alongside the Ecoinvent 3.0 database and CML LCIA methodology was used. Results: The carbon footprint analysis reveals that the production of a single forklift and semi-trailer generates 10.8 tons CO2eq. and 24.9 tons CO2eq. of emissions, respectively. Considering the mass of the machinery, these figures translate to 2.8 ton CO2eq./ton machinery and 1.57 ton CO2eq/ton machinery for the forklift and semi-trailer, respectively. These results were found to be consistent with values reported for similar (but not identical) heavy machinery. Notably, the predominant share of environmental impact stems from raw material acquisition for both products, with subsequent contributions from various production stages. Steel utilization emerges as the primary contributor to all environmental impact categories, constituting an average contribution of 75%. Noteworthy exceptions include the acidification potential of forklift production, where the incorporation of the engine emerges as the primary hotspot with a significant 38% contribution. Conclusions: The findings present the environmental footprint associated with forklift and semi-trailer manufacturing, emphasizing the pivotal role of raw material acquisition, particularly steel utilization. Insights derived from this environmental impact assessment provide invaluable guidance for enhancing environmental sustainability. Decision-makers and industry stakeholders can leverage these conclusions to implement targeted measures, such as exploring alternative materials or refining production processes, to mitigate the environmental consequences of resource-intensive heavy equipment manufacturing, aligning with broader sustainability objectives. © The Author(s) 2025.Türkiye Bilimsel ve Teknolojik Araştırma Kurumu, TÜBİTAK, (122M210); Türkiye Bilimsel ve Teknolojik Araştırma Kurumu, TÜBİTA
Yükseköğretimde Risk Altındaki Öğrencilerin Belirlenmesi: Makine Öğrenmesi Kullanılarak Veri Odaklı Bir Yaklaşım
No full textThis study focuses on identifying students at risk of attrition in various faculties of higher education institutions. Utilizing data spanning from 2017 to 2023, various demographic, academic, and enrollment-related variables were analyzed using supervised and unsupervised methods. The research examines factors such as academic performance, certain personal information, and engagement metrics to uncover the primary determinants of student attrition across different academic domains. The findings aim to provide insights into historical retention trends and enhance the ability to identify students at risk of attrition before each academic term. The primary objective of this research is to enable the early identification of at-risk students, thereby improving universities' capacity to detect this group in advance. Accordingly, the results aim to contribute to a better understanding of the dynamics behind student attrition.Bu çalışma, yükseköğretim kurumlarındaki çeşitli fakültelerde kayıp riski taşıyan öğrencilerin tespit edilmesine odaklanmaktadır. 2017 ile 2023 yıllarını kapsayan verilerden yararlanılarak, demografik, akademik ve kayıtla ilgili çeşitli değişkenler denetimli ve denetimsiz yöntemlerle analiz edilmiştir. Araştırmada, akademik başarı, bazı kişisel bilgiler ve katılım ölçütleri gibi faktörler ele alınarak, farklı akademik alanlarda öğrenci kaybının temel belirleyicileri ortaya konulmaya çalışılmıştır. Araştırmanın bulguları, geçmişe yönelik devamlılık eğilimleri hakkında içgörüler sunmanın yanı sıra, her dönem öncesinde kayıp riski taşıyan öğrencilerin tespit edilme yeteneğini artırmayı amaçlamaktadır. Araştırmanın temel amacı, kayıp riski taşıyan öğrencilerin erken tespitini sağlayarak, üniversitelerin bu grubu önceden belirleme yeteneğini geliştirmektir. Bu doğrultuda elde edilen bulgular, öğrenci kaybının ardındaki dinamiklerin daha iyi anlaşılmasına katkıda bulunmayı hedeflemektedir
Implementing High-Risk Human Papillomavirus Self-Sampling for Cervical Cancer Screening in Ghana: a Pilot Study (Carciscan)
No full textInformality and Female Labor Income Share
No full textBu çalışma kayıt dışı istihdam ile kadınların refahı arasındaki ilişkinin daha iyi anlaşılmasını sağlayacak özgün ampirik bulgular sunmaktadır. Kadınların formel sektördeki istihdam olanaklarına ulaşmalarını zorlaştıran bazı engeller olduğu için genellikle düşük verimlilik, kredi ve mesleki gelişim olanaklarına sınırlı erişim ve sosyal güvencesizlik ile özdeşleşen kayıt dışı sektörlere yönelme eğilimindedirler. 148 ülke ve 1991-2018 dönemini kapsayan kayıt dışı ekonomi ve kadınların emek geliri payı veri setlerini kullanarak, genel anlamda kayıtdışılık ile kadınların emek geliri payı arasında güçlü bir ilişki olduğunu ve bu ilişkinin farklı gelir grubundaki ülkelere ve kalkınma düzeyine göre belirgin bir şekilde farklılaştığını gösterdik. Bu iki değişken arasında genel olarak yüksek geliri grubu ülkelerde anlamlı ve tutarlı bir ilişki bulunmazken, bu korelasyonun düşük gelirli ülkelerde negatif ve orta gelirli ülkelerde pozitif olduğu görülmektedir
TÜRKÇEDEKİ DUYGU SÖZCÜKLERİ VE DUYGU YÜKLÜ SÖZCÜKLER
No full textEvrim sürecinde insanoğlunun çevreye uyum sağlaması
ve hayatta kalmasını sağlamış olan duygular, hayatımızın
merkezinde yer almaktadır. Duyguların dil ile ifade edilmesini
sağlayan duygu sözcükleri ise uzun süredir birçok disiplinin
konusu olmuştur. Duygu sözcüklerinin zihinsel işleyişini ele
alan çalışmalarda bu tür sözcüklerin diğer sözcüklerden farklı
olduğu, hatta kendi içlerinde bile sınıflandırılması gerekliliği
ortaya çıkmıştır. Bu farklılıkların Türkçede nasıl olduğunu
hedefleyen bu çalışmada ana dili Türkçe olan bireylerden
bir liste halinde verilen sözcükleri alanyazında kabul edilen
ölçütlere göre iki gruba ayırmaları istenmiştir. Buna göre, ilk
grupta, doğrudan duygulara işaret eden sözcüklerin (üzüntü,
sevinç), ikinci grupta ise doğrudan duygulara işaret etmeyen,
ancak bunları çağrıştıran sözcüklerin (ölüm, düğün) yer
alması gerektiği söylenmiştir. Katılımcıların uzlaşı oranları
göz önünde bulundurularak, bu sözcükler duygu sözcükleri
ve duygu yüklü sözcükler olarak ayrılmış ve bir liste halinde
sunulmuştur. Bu sunumun psikodilbilim ya da farklı disiplerde
yapılacak deneysel çalışmalarda Türkçe sözcükleri dilsel
uyaranlar olarak kullanmayı planlayan araştırmacılara fikir
vermesi amaçlanmaktadır
Diagnostic Potential of Ctrp5 and Chemerin for Coronary Artery Disease: a Study by Coronary Computed Tomography Angiography
No full textBackground/Objectives: As an endocrine organ, adipose tissue produces adipokines that influence coronary artery disease (CAD). The objective of this study was to assess the potential value of CTRP5 and chemerin in differentiating coronary computed tomography angiography (CCTA)-confirmed coronary artery disease (CAD) versus non-CAD. Secondarily, within the CCTA-confirmed CAD group, the aim was to investigate the relationship between the severity and extent of CAD, as determined by coronary artery calcium score (CACS), and the levels of CTRP5 and chemerin. Methods: Consecutive individuals with chest pain underwent CCTA to evaluate coronary artery anatomy and were divided into two groups. The CCTA-confirmed CAD group included patients with any atherosclerotic plaque (soft, mixed, or calcified) regardless of calcification, while the non-CAD group consisted of individuals without plaques on CCTA, with zero CACS, and without ischemia on stress ECG. Secondarily, in the CCTA-confirmed CAD group, the severity and extent of CAD were evaluated using CACS. Blood samples were collected and stored at -80 degrees C for analysis of CTRP5 and chemerin levels via ELISA. Results: Serum CTRP5 and chemerin levels were significantly higher in the CAD group compared to the non-CAD group (221.83 +/- 103.81 vs. 149.35 +/- 50.99 ng/mL, p = 0.003 and 105.02 +/- 35.62 vs. 86.07 +/- 19.47 ng/mL, p = 0.005, respectively). Receiver operating characteristic (ROC) analysis showed that a CTRP5 cutoff of 172.30 ng/mL had 70% sensitivity and 73% specificity for identifying CAD, while a chemerin cutoff of 90.46 ng/mL had 61% sensitivity and 62% specificity. A strong positive correlation was observed between CTRP5 and chemerin, but neither adipokine showed a correlation with the Agatston score, a measure of CAD severity and extent, nor with coronary artery stenosis as determined by CCTA. Conclusions: CTRP5 and chemerin were significantly elevated in the CCTA-confirmed CAD group compared to the non-CAD group, with CTRP5 showing greater sensitivity and specificity. However, neither adipokine was linked to CAD severity and extent, differing from findings based on invasive coronary angiography (ICA). CTRP5 may serve as a promising "all-or-none biomarker" for CAD presence
Effect of Choline and Cdp-Choline on Inflammation and Oxidative Stress in Burkitt's Lymphoma Cells
No full textBackground and Objective: Burkitt's lymphoma (BL) is a specific type of non-Hodgkin lymphoma. The BL is characterized by rapid progression and a tendency to metastasize the bone marrow and central nervous system. This study aims to evaluate the anticancer potential of choline and CDP-choline on BL cells (Ramos cells), in vitro. Materials and Methods: Ramos cells were treated with increasing concentrations of doxorubicin, choline and CDP-choline for 24 hrs after which cell viability was assessed using the MTT assay. Cytokine levels (IL-6 and TNF-") and reactive oxygen species (ROS) production were measured using ELISA and fluorometric kits, respectively. One-way Analysis of Variance (ANOVA) with post hoc Tukey-Kramer multiple comparison tests were used for the statistical analysis, p0.05 was accepted as a statistically significant level. Results: Choline and CDP-choline treatment for 24 hrs decreased Ramos cell viability, with IC50 values of 100, 02 and 5.45 mu>M, respectively. Both treatments increased ROS levels, indicating induction of oxidative stress. However, treatment of Ramos cells with these agents for 24 hrs did not induce cytokines (IL-6 and TNF-") production. Choline treatment increased supernatant choline levels, whereas CDP-choline had no significant effect on intracellular choline in Ramos cells. Conclusion: Choline and CDP-choline reduced cell viability of Ramos cells probably via ROS dependent mechanism, but did not induce inflammatory responses at 24 hrs post-treatment.Thesefindings suggested the possible anticancer potential ofcholine and CDP-choline against BL. This warrants further investigation into their potential therapeutic implications
The Metaverse in Orthopaedics: Virtual, Augmented and Mixed Reality for Advancing Surgical Training, Arthroscopy, Arthroplasty and Rehabilitation
No full textPurposeThe metaverse and extended reality (XR), which includes augmented reality (AR), virtual reality (VR) and mixed reality (MR), are transforming orthopaedic surgery by enhancing training, procedural accuracy and rehabilitation. However, a literature review of these new virtual tools is lacking. The purpose of this narrative review is to summarise available evidence about the metaverse and discuss current and future clinical applications.MethodsA narrative review of the current literature was performed for studies evaluating XR tools and their respective clinical and educational utility. Studies from all orthopaedic subspecialties were eligible for inclusion. The XR tools evaluated in each study were categorised according to the reality spectrum and future research or clinical applications were discussed.ResultsXR is a technological spectrum that includes AR, VR and MR to create immersive and interactive surgical training environments. VR-based simulators may improve surgical education by allowing trainees to refine their skills in a risk-free setting. AR may enhance intraoperative guidance and has been studied within orthopaedics to improve implant positioning accuracy and reduce complications in procedures including arthroscopy and total joint arthroplasty. In rehabilitation, AR and VR have been implemented to facilitate patient engagement and adherence, promoting functional recovery through gamified therapy and remote telerehabilitation.ConclusionsThere has been a paradigm shift in orthopaedic care in which digital tools are integrated with patient care to optimise patient outcomes. However, challenges to the widespread implementation of promising XR technology include high costs, steep learning curves and limited clinical validation. Ethical concerns, including data security and patient privacy, further complicate its use in clinical settings. Future research must focus on cost-effectiveness, standardisation and improving accessibility to ensure seamless integration into clinical practice.Level of EvidenceLevel V
Characterizing the Heterogeneity of Neurodegenerative Diseases Through Eeg Normative Modeling
No full textNeurodegenerative diseases like Parkinson's (PD) and Alzheimer's (AD) exhibit considerable heterogeneity of functional brain features within patients, complicating diagnosis and treatment. Here, we use electroencephalography (EEG) and normative modeling to investigate neurophysiological mechanisms underpinning this heterogeneity. Resting-state EEG data from 14 clinical units included healthy adults (n = 499) and patients with PD (n = 237) and AD (n = 197), aged over 40. Spectral and source connectivity analyses provided features for normative modeling, revealing significant, frequency-dependent EEG deviations with high heterogeneity in PD and AD. Around 30% of patients exhibited spectral deviations, while similar to 80% showed functional source connectivity deviations. Notably, the spatial overlap of deviant features did not exceed 60% for spectral and 25% for connectivity analysis. Furthermore, patient-specific deviations correlated with clinical measures, with greater deviations linked to worse UPDRS for PD (rho = 0.24, p = 0.025) and MMSE for AD (rho = -0.26, p = 0.01). These results suggest that EEG deviations could enrich individualized clinical assessment in Precision Neurology.This work was fully funded by MINDIG as a part of its R;D activity. We would like to thank all the researchers who shared their data in open access and all the participants who approved the use of their data in research. This work was supported by the "Region Bretagne", Inno R;D project no. 23001155 and Rennes Metropole (AICE project).MINDIG as a part of its RD activity; Region Bretagne", Inno RD project [23001155]; Rennes Metropol