IEU GCRIS Database (İzmir Ekonomi Üniversitesi)
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Comparison of the Effects of Piezoelectric and Calcium Ionophore Activation on Fertilization and Blastulation Rates of Sibling Oocytes
No full textTo determine rates of fertilization, good-quality day 3 embryos, and blastocyst progression in sibling oocytes of the same patients undergoing piezo and calcium ionophore (CaI) activation. The retrospective cohort study included couples undergoing assisted reproductive treatment in 2023-2024 for primary infertility with a history of low fertilization rates (30%), low blastulation rates (20%), or male factor infertility such as teratozoospermia at the Izmir University of Economics Medical Point Hospital IVF Center. Sibling oocytes from each patient were randomly assigned to piezoelectric or CaI activation. The fertilization rate, number of degenerated embryos, number of abnormally fertilized eggs, number of day 3 grade 1 embryos, and blastocyst counts were compared among the sibling oocytes. In total, 1,105 MII sibling oocytes from 76 patients were included. Piezoelectric activation was applied to 575 MII oocytes, while CaI activation was applied to 530 MII oocytes. There was no significant difference between groups according to the activation method in the fertilization rate (piezo, 0.74% +/- 0.22%; CaI, 0.68% +/- 0.26%, p = 0.12), degeneration rate (piezo, 0.04% +/- 0.13%; CaI, 0.02% +/- 0.06%, p = 0.452), day 3 grade 1 embryo rate (piezo, 0.59% +/- 0.33%; CaI, 0.54% +/- 0.35%, p = 0.34), or blastocyst rate (piezo, 0.49% +/- 0.33%; CaI, 0.43% +/- 0.34%, p = 0.28) of sibling oocytes. Both piezoelectric and CaI activation yielded comparable results in terms of oocyte activation, with similar fertilization and blastulation rates
Analysing the Friction Effect on Velocity Control of a Dc Motor for Gimbal Applications
No full textStabilizing a platform is vital for many industries, such as defense and photography. Gimbals are systems that stabilize a platform. An accurate motor speed control is very important for gimbals. In this research, a DC motor model is developed and combined with a precise friction model, including the Stribeck effect, viscous friction, static friction, and Coulomb friction terms. The impact of each different friction term is demonstrated. Also, the total effect of friction terms on a speed-controlled DC motor is analysed. Finally, a model-based friction compensator is used to minimize the effect of linear friction terms. According to the results, a proper friction model should be used for gimbal DC motors. © 2025 IEEE
Numerical Study of Breaching at Upper Parts of Homogenous Earthen Dams
No full textIn this study, time-dependent finite element analyses of the breaching process in two homogenous earth-fill dams were performed using the finite element method. Breaching was initiated at the middle and corner sections of the upper part of the dam bodies. The numerical results were compared with the findings of the experiments realized on dams 60 cm high, 2 m wide at bottom, 20 cm wide at crest with 1 V:1.5H side slopes at upstream and downstream faces. This numerical study combines time-dependent hydraulic gradient distributions and groundwater flows to assess breach areas, velocities, and flow rates. A Python algorithm was integrated with the Jupyter console, allowing the simulation of the breach mechanism in multiple runs to determine breach parameters. Both numerical and experimental analyses revealed that the dams were exposed to backward erosion, starting at the downstream side of the dam and progressing inward. The compatibility between experimental and numerical results was sought by means of the parameters RMSE, MAE and the statistical performance of the numerical approach was evaluated by using RSR, NSE, and PBIAS. A fairly good agreement was obtained between the experimental and numerical results.The authors thank the Scientific and Technological Research Council of Turkey (TUBITAK) for supporting financially this study through project 119M609.Trkiye Bilimsel ve Teknolojik Arascedil;timath;rma Kurumu [119M609]; Scientific and Technological Research Council of Turkey (TUBITAK
Violence Against Health Workers Durıng the Covid-19 Pandemic in Kosovo: a Cross-Sectional Study
No full textGokdemir, Ozden/0000-0002-0542-5767Background and Aim:Violence against healthcare professionals is a major global concern, which is worsened by public health catastrophes like the COVID-19 epidemic. Previous research has shown an increase in verbal, physical, and mental assault directed toward healthcare personnel, driven by causes such as fear, misinformation, and a lack of resources. This cross-sectional study aims to fill this gap by determining the prevalence, types, and contributing factors of violence experienced by healthcare workers in Kosovo during the COVID-19 pandemic.Method:The study was conducted as a cross-sectional study with data collected through a structured, anonymous, self-directed questionnaire, consisting of sociodemographic characteristics, and the HADS questionnaire via the online platform in Kosovo in 2020.Results:The study comprises three main parts: i) a representative sample of 1340 primary health care users aged >= 18 years (49% men; overall mean age: 50.5 +/- 17.9 years; response rate: 89%), ii) a representative sample of 597 primary health care physicians (49% men; overall mean age: 46.0 +/- 9.4 years; response rate: 90%), and iii) a nationwide representative sample of 100 decision-makers operating at different primary health care institutions or public health agencies in Kosovo (63% men; mean age: 47.7 +/- 5.7 years). A structured self-administered questionnaire, consisting of 37 items, was utilized in the three surveys to assess violence against health workers across various domains of health care.Conclusion:This study indicates that healthcare workers in Kosova are experiencing violence due to COVID-19 pandemics. Given the key role of health care professionals during management of COVID-19 pandemics, interventions to address violence against health workers to the needs of Kosova healthcare professionals presents itself as an immediate need. The wellbeing of healthcare workers has been adversely affected not only by the evolving dynamics in doctor-patient relationships but also by the overall environment of insecurity. It is imperative to denounce all forms of violence, and both healthcare workers and decision-makers must collaboratively and systematically address the issue of violenc
An Artificial Intelligence Model for Lhermitte's Sign in Patients With Pediatric-Onset Multiple Sclerosis: a Follow-Up Study
No full textPoyraz, Turan/0000-0002-5928-8614Background. Lhermitte's sign (LS) is an important clinical marker for patients with multiple sclerosis (MS). Research on pediatric-onset MS (POMS) and LS is limited. To date, there has been no research conducted on the clinical and artificial intelligence (AI)-based radiological correlation of LS. Objectives. This follow-up study aims to investigate the relationship between LS and clinical findings according to AI-based radiological characteristics of patients with POMS. Materials and methods. Basic descriptive statistics of patients with POMS according to sociodemographic, clinical and radiological findings were collected. Variables were evaluated at a 95% confidence level (95% CI), and a value of p 0.05 was accepted as statistically significant. The LS in patients with MS was classified according to its presence in the past and at the time of the study screening: group A: absent; group B: positive in the past but absent at screening; group C: present both in the past and at the screening; group D: absent in the past but present at the screening. In addition, patients were grouped according to the duration of their MS, with the following classifications: 10 years and at least 10 years. Results. A total of 1,298 records were identified in the database search. Ninety-two patients who met the inclusion criteria were included in the study. The frequency of upper cervical lesions (C1-4 vertebral segmental levels) was higher in group B and C than in group A (p = 0.017). Among patients with an MS duration of 10-years, C1-4 lesions were least frequent in group A. Conclusions. Spinal imaging with AI-based programs can be used at least as much as brain magnetic resonance imaging (MRI) for early diagnosis, prognosis and treatment response. We have for the first time investigated LS in a large sample of patients with POMS. It is, however, recommended to conduct further multicenter studies to more specifically identify LS in patients with POMS
Life Cycle Assessment of Black Tea Production and Consumption in Turkiye: Insights From Waste Management Scenarios
No full textUctug, Fehmi Gorkem/0000-0002-7231-5154This study conducts a life cycle assessment (LCA) of tea production and consumption in T ; uuml;rkiye, the world leader in per capita tea consumption. Aiming to identify environmental hotspots and propose sustainable solutions, a cradle-to-grave LCA was performed using CCaLC2 software, CML methodology, and the Ecoinvent 3.0 database. It covers cultivation, processing, transportation, and consumption stages, focusing on key environmental indicators like carbon footprint and acidification potential. The results reveal that consumption dominates the environmental footprint (91%) due to energy-intensive brewing methods. Cultivation and transportation contribute minimally (4% each). This highlights the need for promoting energy-efficient brewing practices and consumer adoption of renewable energy sources. The study also explores the environmental implications of different waste management strategies. Composting emerged as the most beneficial approach for reducing the carbon footprint and photochemical oxidants creation, while incineration might be preferable for other impact categories. This study underscores the importance of addressing energy consumption during tea brewing and encouraging renewable energy use among consumers. Additionally, it promotes composting as a crucial waste management strategy for a more sustainable tea value chain in T ; uuml;rkiye. These findings offer valuable insights for policymakers, industry players, and tea drinkers to make informed decisions that minimize environmental impact.Scientific and Technological Research Council of Turkiye (TUBITAK)The authors would like to thank the Scientific and Technological Research Council of Turkiye (TUBITAK) for the financial support that enabled this work; as well as Mr. Ozkan Ozbek and Ms. Esin Sevgi from Adana Hac ; imath; Sabanc ; imath; Organized Industrial Zone for their support during the data collection stage
Effectiveness of Self-Hydration Management Interventions in Middle-Aged and Older Adults: a Systematic Review and Meta-Analysis
No full textPURPOSE: To evaluate the effectiveness of self-hydration management interventions for middle-aged and older adults without cognitive impairment. METHOD: A systematic review and meta-analysis was conducted. Studies published from January 2010 to May 2024 were included. A total of 1,065 articles were reviewed, leading to the selection of 20 eligible articles; of these, five were considered suitable for inclusion. RESULTS: The analysis showed a significant increase in total daily fluid intake and urine volume in intervention groups compared to control groups. This improvement demonstrates the effectiveness of various self-hydration management interventions. CONCLUSION: Nurse-led self-hydration management interventions are effective and provide valuable guidance for middle-aged and older adults. [Journal of Gerontological Nursing, 51(5), 17-25.
Non-Verbal Language of Peshkir Motifs in Turkish Culture: a Case Study of Peshkir Collection in A.r. İzzet Koyunoğlu Museum
No full textTraditional textiles have been essential items of daily life for centuries, reflecting the feelings and thoughts, tastes, and cultural identities of societies. Among the traditional textiles, a peshkir is a type of napkin or towel used to wipe the mouth during meals and for drying hands. It also has an important place among the traditional textiles in many parts of Anatolia, where young girls and women embroider their feelings, longings, and love through motifs and colors. With the structural change in society, peshkirs have been replaced by industrial productions and surviving examples are being donated to ethnographic museums or purchased for private collections. In Konya, a city in Turkey, the A. R. İzzet Koyunoğlu Museum is one of the museums seeking to keep the tradition alive. In this article, it is intended to underline the importance of peshkirs in Turkish culture from a design perspective considering their decorative features. This case study focuses on eight peshkirs from the A. R. İzzet Koyunoğlu Museum, which were selected from a broader collection of 30 peshkirs. While the sample size is modest compared to the hundreds found in other collections, these particular pieces represent an unpublished segment of the museum’s holdings. © 2025 Informa UK Limited, trading as Taylor ; Francis Group
Ten New Insights in Climate Science 2024
No full textThe years 2023 and 2024 were characterized by unprecedented warming across the globe, underscoring the urgency of climate action. Robust science advice for decision makers on subjects as complex as climate change requires deep cross- and interdisciplinary understanding. However, navigating the ever-expanding and diverse peer-reviewed literature on climate change is enormously challenging for individual researchers. We elicited expert input through an online questionnaire (188 respondents from 45 countries) and prioritized 10 key advances in climate-change research with high policy relevance. The insights span a wide range of areas, from changes in methane and aerosol emissions to the factors shaping citizens’ acceptance of climate policies. This synthesis and communications effort forms the basis for a science-policy report distributed to party delegations ahead of the 29th session of the Conference of the Parties (COP29) to inform their positions and arguments on critical issues, including heat-adaptation planning, comprehensive mitigation strategies, and strengthened governance in energy-transition minerals value chains. © 2025 The AuthorsFundação de Amparo à Pesquisa e Inovação do Espírito Santo, FAPES; National Aeronautics and Space Administration, NASA; European Space Agency, ESA; NOAA Caribbean Climate Adaptation Network CAP; Knut och Alice Wallenbergs Stiftelse; Center for Advanced Study, University of Illinois at Urbana-Champaign, CAS; Conselho Nacional de Desenvolvimento Científico e Tecnológico, CNPq; IGES; European Commission, EC; Vetenskapsrådet, VR, (2019-00498); Instituto Serrapilheira, (1709-18983); European Research Council, ERC, (867599); Wallenberg Academy, (2021.0169); Horizon 2020 Framework Programme, H2020, (821205); Open Fund for Key Laboratory of Land Degradation and Ecological Restoration in northwestern China of Ningxia University, (LDER2023Z01); CLUA, (G-2211-58697); National Science Foundation, NSF, (1934933, 2235177); National Key Research and Development Program of China, NKRDPC, (2019YFA0606800); RISA, (NA22OAR4310545); Formas – a Swedish Research Council for Sustainable Development, (2017-01601, 2018-01350, 2019-0096, 2019-02005); Fundação de Amparo à Pesquisa do Estado de São Paulo, FAPESP, (2023/04358-9); National Oceanic and Atmospheric Administration, NOAA, (NA23OAR4310485); Norges Forskningsråd, (324182, 325976
Classification of Alzheimer’s Dementia Eeg Signals Using Deep Learning
No full textAlzheimer’s dementia (AD) is a predominant neurological disorder arising from corruptions in brain functions and is characterized by a chronic or progressive nature. While the precise etiology of dementia remains incompletely elucidated, its manifestation is frequently associated with discernible structural and chemical alterations in the brain. Living with dementia significantly impacts individuals’ daily lives due to the resultant loss of cognitive functions. This study presents a novel method to monitor and detect AD using advanced signal processing applied to electroencephalography (EEG) signals. The intrinsic time-scale decomposition (ITD) algorithm is employed to extract proper rotation components (PRCs) from EEG signals, utilizing a 5-second EEG segment duration. The proposed method is compared with the detection of 5-second raw EEG segments using a custom one-dimensional convolutional neural network (1D CNN). Additionally, four different quartiles (Quartile 1 (Q1), Q2, Q3, and Q4) of EEG signals are considered to identify the most significant contributor to AD. Experimental results demonstrate that the ITD-based approach yields better detection performance compared to using raw EEG signals. The most promising result is achieved by the EEG-PRCs method in Q1, with an accuracy of 94.00%, sensitivity of 93.50%, and specificity of 93.90%. In contrast, the highest-performing result of the raw EEG segments method is in Q2, with an accuracy of 88.40%, sensitivity of 89.10%, and specificity of 87.60% in terms of detecting AD. © The Author(s) 2024