Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

Permanent URI for this collectionhttps://hdl.handle.net/20.500.14517/19

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Search for Nuclear Modifications of (Formula Presented) Meson Production in (Formula Presented)-Pb Collisions at (Formula Presented)
(American Physical Society, 2025) Hayrapetyan, A.; Tumasyan, A.; Adam, W.; Andrejkovic, J.W.; Bergauer, T.; Chatterjee, S.; Sastre, J.
Nuclear medium effects on (Formula presented) meson production are studied using the binary-collision scaled cross section ratio between events of different charged-particle multiplicities from proton-lead collisions. Data, collected by the CMS experiment in 2016 at a nucleon-nucleon center-of-mass energy of (Formula presented), corresponding to an integrated luminosity of (Formula presented), were used. The scaling factors in the ratio are determined using a novel approach based on the (Formula presented) cross sections measured in the same events. The scaled ratio for (Formula presented) is consistent with unity for all event multiplicities, putting stringent constraints on nuclear modification for heavy flavor. © 2025 CERN, for the CMS Collaboration.
Evaluation of Pi3k Levels and Mirna124-5p Expression Levels in Serum Samples From Patients With Lung Cancer
(International Institute of Anticancer Research, 2025) Akdeniz, F.T.; Avsar, O.
Background/Aim: Lung cancers are malignant neoplasms located in the lung tissues. miRNAs are short non-coding RNAs. It is known that miRNA-124 prevents metastasis in lung cancers. The phosphatidylinositol 3-kinases (PI3K) signaling pathway, a basic signaling pathway interconnected with other pathways, is activated during cancer development. This study aimed to compare miRNA-124-5p and PI3K serum levels in patient and control groups. Materials and Methods: miRNA isolated from patient and control serum samples were converted into cDNA. miRNA- 124-5p expression was determined using Real-Time PCR and a SYBR GREEN kit. PI3K serum level was determined using the Enzyme-Linked Immunosorbent Assay. Results: While miRNA-124-5p serum level was statistically significantly lower in the patient group (p>0.02), serum PI3K level was higher in the patient group than in the control group but the difference was not statistically significant (p>0.11). Conclusion: Lower serum levels of miRNA-124-5p and high PI3K levels observed in the patient group, compared to the control group, may be associated with a poor disease prognosis. © 2025 The Author(s). Anticancer Research is published by the International Institute of Anticancer Research.
Test of Lepton Flavor Universality in Semileptonic (Formula Presented) Meson Decays in Proton-Proton Collisions at (Formula Presented)
(American Physical Society, 2025) Hayrapetyan, A.; Tumasyan, A.; Adam, W.; Andrejkovic, J.W.; Bergauer, T.; Chatterjee, S.; Navarrete Ramos, E.
A measurement of the ratio of branching fractions (Formula presented) in the (Formula presented), (Formula presented) decay channel is presented. This measurement uses a sample of proton-proton collision data collected at a center-of-mass energy of (Formula presented) by the CMS experiment in 2018, corresponding to an integrated luminosity of (Formula presented). The measured ratio, (Formula presented), agrees with the value of (Formula presented) predicted by the standard model, which assumes lepton flavor universality. By testing lepton flavor universality, this measurement is a probe of new physics using (Formula presented) mesons, which are currently only produced at the LHC. © 2025 CERN, for the CMS Collaboration.
Lorentz-Invariant Expression for the Force on an Electric/Magnetic Dipole
(Institute of Physics, 2025) Kholmetskii, A.L.; Yarman, T.; Missevitch, O.V.
We derive the Lorentz-invariant expression for the force acting on a pointlike electric/magnetic dipole in an electromagnetic field, based on a covariant representation of the Lagrangian density for a polarized/magnetized material medium in an electromagnetic field (Fabrizio M. and Morri A., Electromagnetism of Continuous Media (Oxford University Press, Oxford) 2003), and discuss its physical meaning. Copyright © 2025 EPLA. All rights, including for text and data mining, AI training, and similar technologies, are reserved.
Effect of Copper Nanoparticle Volume Fraction on Flow in a 3d Lid-Driven Cavity With Phase Change Materials Using Molecular Dynamics Simulation
(Elsevier Ltd, 2025) Sawaran Singh, N.S.; Hassan, W.H.; Thiab, R.F.; Al-zahy, Y.M.A.; Salahshour, S.; Hekmatifar, M.
Background: Phase Change Materials are substances characterized by specific properties, including defined melting points and substantial latent heat of fusion. Effective heat transfer management is vital in modern industries, as it supports essential processes across various sectors. Methods: This study investigates the effect of copper nanoparticle volume fraction on flow behavior and thermal dynamics in a 3D lid-driven cavity. This enclosure was a controlled environment filled with phase change materials, designed to optimize thermal energy management. The system configuration comprised a wavy bottom wall and an adaptable upper wall, allowing for dynamic adjustments during the simulation. The results show that as the volume ratio of copper nanoparticles increased from 1 % to 3 %, the steady heat transfer process in the simulated nanoparticles also increased. Increasing the volume ratio from 1 % to 3 % resulted in a decrease in the maximum density of nanoparticles, which decreased from 0.0152 to 0.0146 atom/Å3. Additionally, this increase led to a rise in thermal conductivity from 1.26 to 1.45 W/m·K and in heat flux from 8.26 to 9.95 W/m2. Significant Findings: The study demonstrates that optimizing the volume fraction of Cu-NPs in PCMs can significantly enhance thermal conductivity and heat flux, offering potential improvements in thermal energy storage systems. © 2025 The Authors
Coupling Effects of Strain Gradient and Surface Energy on Dynamic Instability of Small-Scale Timoshenko Beams Traversed by Sequential Moving Nanoparticles
(Elsevier Ltd, 2025) Sawaran Singh, N.S.; Ali, A.B.M.; Abed Hussein, M.; Mohammed, J.K.; Kharraji, O.; Pirmoradian, M.; Salahshour, S.
This study aims to explore the dynamic instability of micro and nano-sized Timoshenko beams as they are traversed by sequentially moving nanoparticles. The beams, characterized by a rectangular cross-section and homogeneity, are situated within a Pasternak foundation, which provides a supportive elastic medium. The research investigation determines nanoparticle inertia effects at velocity while establishing motion equations through Hamilton's principle. The model unites nonlinear von Kàrmàn strain-displacement kinematics with strain gradient theory and Gurtin-Murdoch small-scale accounting. The system's behavior gets analyzed through the implementation of Galerkin method which derives time-periodic motion equations. The incremental harmonic balance approach develops stability boundary maps that separate stable and unstable regions through which analysts can examine parameter spaces containing moving particle mass and velocity values. This study evaluates how different parameters like beam diameters together with small-scale characteristics and elastic medium constants and residual stress and axial compressive forces affect the stability diagram. The analysis demonstrates that stability parameters become substantially modified when researchers include length scale characteristics along with surface effects. The outcome reveals that axial compressive forces reduce stability yet environmental effects strengthen the stability of small-scale beams which leads to transition curve movements towards faster moving particles velocities. This study contributes fundamental knowledge about dynamic instability effects in small-scale beams which will help future advances in nanotechnology and materials science. © 2025 The Authors
Review of Trends and Emerging Optimization Techniques for Battery Thermal Management – Traditional and Bibliometric Approach
(Elsevier Ltd, 2025) Agyekum, E.B.; Odoi-Yorke, F.; Mirzaliev, S.; Abdullah, M.; Rashid, F.L.; Hussein, A.K.
High temperatures can reduce battery life and possibly result in thermal runaway, so controlling the battery pack operation temperature is important for electric vehicle's performance as well as safety. This is accomplished with the help of a battery thermal management system (BTMS). In this study, a detailed review of different strategies that has been used to optimize and enhance different BTMSs has been conducted using a combination of the conventional and bibliometric approaches. Based on the analysis of the literature, it was found that several researchers in recent times have conducted studies that investigated creative design approaches, computational methods, optimal cooling, and structural improvements to improve battery performance, safety, and service life. Among the methods and materials employed in the various studies are genetic algorithms, mini-channels, composite phase change materials, orthogonal testing, nanofluids, and surrogate modeling. The study also discovered that while air-cooled BTMS provides simplicity, safety, and consistency, its use is restricted to low-capacity batteries due to its lower heat capacity. Although it needs a sealing cover to stop leaks, liquid-cooled BTMS was found to be promising. Additionally, liquid metals and nanofluids are also being explored due to their increased heat conductivity. The study also identified the limitations associated with the various cooling mechanisms. Some future research proposals were made including the need to improve thermal performance in real-time energy storage systems by combining artificial intelligence and passive cooling techniques with cutting-edge composite materials and hydrated salts. © 2025 Elsevier Ltd
Mathematical Dynamics of Meningococcal Meningitis: Examining Carrier Diagnosis and Prophylaxis Treatment
(Springer, 2025) Mustapha, U.T.; Muhammad, A.I.; Yusuf, A.; Althobaiti, N.; Aliyu, A.I.; Andrawus, J.
Meningococcal meningitis remains a persistent public health challenge with widespread implications. This paper delves into the sometimes-underrated carrier class, comprising approximately 10% of the population, recognized as the primary source of the overall disease transmission. The challenge lies in the complex task of identifying these asymptomatic carriers in real-world scenarios, as they appear healthy, thus diminishing their incentive for treatment. This study underscores the necessity of proactive measures for individuals who have come into contact with a meningitis patient, emphasizing the importance of meningitis testing or CDC-recommended chemoprophylaxis treatment. In this study, we design a dynamic of Meningococcal Meningitis outbreak, incorporating vaccination, undiagnosed carriers and hospitalisation. We compute basic reproduction number using the generalised next-generation matrix approach and the analysis shows that, the model is globally asymptotically stable for both the DFE and Endemic equilibria. Further analysis indicates the possibility of a backward bifurcation for the system when R0<1. The findings of sensitivity analysis suggest that public health campaigns should prioritize increasing awareness about the significance of diagnosis for carriers of meningococcal meningitis and prophylaxis treatment. This measure will have a significant effect and substantially reduce the spread of the disease. Optimal control analysis shows that, the awareness campaign plays a significant role in controlling the spread of the disease in the community. © The Author(s), under exclusive licence to Springer Nature India Private Limited 2025.
Enhancing Solar Greenhouse Efficiency Through the Integration of Phase Change Materials: Thermal Regulation and Sustainable Crop Growth
(Elsevier Ltd, 2025) Rashid, F.L.; Al-Obaidi, M.A.; Alsebeei, M.M.; Karim Alkhekany, Z.A.; Ameen, A.; Ahmad, S.; Alshammari, A.
The increased request for sustainable agricultural practices in response to climate change requires inventions in greenhouse design and operation. This review inspects scientific investigations that explore how solar greenhouses utilise phase change materials (PCMs) to improve thermal regulation, decrease expenses, and support crop growth. Also, it examines the matter of temperature instability in traditional greenhouses, as fluctuated temperatures would negatively impact plant health and crop production. Experimental research on PCMs has led to the development of a new thermal energy storage system, which has been analysed for its competence. The outcomes of this review specify that greenhouse temperatures can increase meaningfully during crucial nighttime hours when PCMs are utilised, with a temperature difference ranges between 1 °C to 2 °C greater than those in standard greenhouses. Also, the integration of PCMs can reduce the daily temperature fluctuation by 3 °C to 5 °C, enhancing temperature control. Accordingly, it can be said that the incorporation of PCMs within solar greenhouses can enhance the environmental conditions of crops besides boosting the thermal efficacy, contributing to agricultural sustainability. Finally, this review presents an operational strategy to transform greenhouse functionality by enhancing the energy competence and climate resilience. In turn, these systems could revolutionize greenhouse operations and address global food security challenges. © 2025 The Author(s)
The Impact of Channel Edge Type on the Particle Diffusion and Permeability of Carbon Nanotubes as a Membrane in Reverse Electrodialysis Process Using Molecular Dynamics Simulation
(Elsevier Ltd, 2025) Li, X.; Ali, A.B.M.; Abbood, H.A.; Singh, N.S.S.; Al-Bahrani, M.; Abduvalieva, D.; Baghaei, S.
Thermal energy storage with phase change materials offers effective solutions for energy management by absorbing and releasing thermal energy during phase transitions. Integrating nanoparticles, like gold, enhances thermal conductivity, modifies phase change characteristics, and boosts energy storage capacity. These advancements are valuable in renewable energy, precise thermal management, and high-efficiency energy storage, fostering innovation and sustainability in thermal science. This study investigates the effects of adding gold nanoparticles to paraffin-based phase change material, analyzing thermal property changes through molecular dynamics simulations to assess improvements in heat storage and energy efficiency. The results show that the carbon nanotube structure with the armchair edge was used to achieve the maximum electric current in the sample. Due to the strong interactions among carbon atoms in the armchair-edged carbon nanotube structure, the interaction between the fluid and the AC decreased. Also, the interaction between the base fluid and the channel wall varied with the edge type of carbon nanotubes. Based on the results, maximum electric current was achieved with a carbon nanotube featuring an armchair edge. © 2025 Elsevier Ltd
The Effect of Different Surface Treatments and Adhesive Systems on Shear Bond Strength in Universal Nanohybrid Composite Resin Repair
(BioMed Central Ltd, 2025) Ömeroğlu, M.K.; Çam, M.; Doğruer, I.; Kaynar, Z.B.
Background: The aim of this study is to evaluate the effect of different surface treatments and adhesives on shear bond strength (SBS) in the repair of composite resin restorations. Methods: In this study, 60 discs (2 mm x 10 mm) were prepared using a universal nanohybrid composite resin (GrandioSo, Voco, Germany). The discs were aged by exposure to 5000 thermal cycles between 5 and 55 °C for 30 s with an immersion procedure. Then samples were divided into 3 groups (n:20) according to the surface treatments (Group 1: no surface treatment, Group 2: roughening by bur, Group 3: roughening by Er, Cr: YSGG laser). Subsequently, the specimens were classified into two groups (n:10) according to the adhesive systems; a two-step self-etch adhesive (Clearfil SE bond (SE)), or a universal adhesive (Scotchbond Universal Plus (SB)). After surface treatments and adhesive applications, the same universal nanohybrid composite resin with a height of 2 mm and a diameter of 3 mm was placed in the center of the samples. The samples were then submitted to the SBS test using universal testing equipment (Autograph AGS-X; Shimadzu, Kyoto, Japan) with a crosshead speed of 1 mm/min. The failure modes were examined using a stereomicroscope. The surface topography of the roughened and fractured surfaces resin composite (n = 1) was assessed using scanning electron microscopy (SEM). Analyses were performed using IBM SPSS 25 programme (p < 0.05). Results: The highest bond strength was observed in the laser + SE group (22.69 ± 4.49), while the lowest was recorded in the control + SE group (14.12 ± 3.00). In the SE adhesive group, no significant difference was found between the laser + SE and bur + SE groups (p > 0.05). Similarly, in the SB adhesive group, there were no significant differences among the surface roughening procedures (p = 0.078). Additionally, no significant differences were observed between the adhesives according to various surface roughening procedures. The failure mode was predominantly cohesive in old composites. Conclusion: The bond strength can be improved by surface treatments such as diamond burs, Er, Cr: YSGG laser application for better bonding strategies in the repair of nanohybrid resin composite restorations. There was no statistically significant difference in bond strength between the adhesives tested in this study. © The Author(s) 2025.
Search for Long-Lived Heavy Neutral Leptons in Proton-Proton Collision Events With a Lepton-Jet Pair Associated With a Secondary Vertex at S = 13 Tev
(Springer Science and Business Media Deutschland GmbH, 2025) Hayrapetyan, A.; Tumasyan, A.; Adam, W.; Andrejkovic, J.W.; Bergauer, T.; Chatterjee, S.; Cuevas, J.
A search for long-lived heavy neutral leptons (HNLs) using proton-proton collision data corresponding to an integrated luminosity of 138 fb−1 collected at s = 13 TeV with the CMS detector at the CERN LHC is presented. Events are selected with a charged lepton originating from the primary vertex associated with the proton-proton interaction, as well as a second charged lepton and a hadronic jet associated with a secondary vertex that corresponds to the semileptonic decay of a long-lived HNL. No excess of events above the standard model expectation is observed. Exclusion limits at 95% confidence level are evaluated for HNLs that mix with electron and/or muon neutrinos. Limits are presented in the mass range of 1–16.5 GeV, with excluded square mixing parameter values reaching as low as 2 × 10−7. For masses above 11 GeV, the presented limits exceed all previous results in the semileptonic decay channel, and for some of the considered scenarios are the strongest to date. © The Author(s) 2025.
The Potential Therapeutic Effects of Coenzyme Q10 on the Sciatic Nerve Regeneration Following Short-And Long-Term Injury
(Open Exploration Publishing Inc, 2025) Mead, A.O.; Altunkaynak, B.Z.; Kaplan, S.
Aim: This study aims to investigate the effects of administering coenzyme Q10 (CoQ10) after both short-term and long-term sciatic nerve damage. Methods: Six groups of adult male Wistar albino rats were used. Sciatic nerve injury was performed on the rats in the short-term injury (STI) and long-term injury (LTI) groups for 15 and 60 s. For 21 days, the rats in the CoQ10, STI + CoQ10, and LTI + CoQ10 groups were also administered CoQ10 orally at a dose of 10 mg/kg of body weight; the control (Cont) group received no treatment. The nerve samples were evaluated by electrophysiology, the sciatic functional index (SFI), stereological investigations, and light and electron microscopic methods. Results: The number of myelinated axons was higher in the LTI group according to the Cont and the sham groups. The numbers of axons in the LTI and LTI + CoQ10 groups were higher than that in the STI and STI + CoQ10 groups. Latency and amplitude levels were significantly changed following STI and LTI treatment and CoQ10 treatment significantly improved the results following the injuries. SFI results showed highly significant differences between the Cont and STI, Cont and LTI, Cont and STI + CoQ10, STI + CoQ10 and LTI + CoQ10, and Cont and LTI + CoQ10 groups. Microscopic examinations indicated that LTI produced a significant change in the nerve structure than STI. CoQ10 ameliorated the degree of injury. Conclusions: Treatment with CoQ10 following sciatic nerve damage was more successful in the LTI than the STI group, and it may, therefore, effectively improve peripheral nerve regeneration, especially following LTI. © The Author(s) 2025.
Antihypertensive Drug Box Sales Between January 2019 - June 2024 in Turkish Drug Market: Investigating the Drug Group and Fix-Dose Combination Sales
(Society of Pharmaceutical Sciences of Ankara (FABAD), 2025) Vural, E.H.; Gümüşel, B.
The financial and emotional burden of chronic diseases, including hypertension, has been rising. The objective of this study was to assess the trends in box sales of antihypertensive medications in Türkiye and to compare these trends across the antihypertensive medicine subgroups. This study analyzed retail and hospital box sales of antihypertensive drug groups recommended by guidelines between January 2019 and June 2024. The data used in this study were obtained from IQVIA. While antihypertensive drugs sold a total of 176,453,254 boxes in 2019, they were sold 203,690,099 boxes in 2023, a 15.44% increase. The best-selling drug group is the Renin-Angiotensin System (RAS) antagonists. Angiotensin Receptor Blocker-Diuretic fixed-dose combination (FDC) is the best-selling subgroup in the RAS antagonists. FDCs of RAS antagonists are more often used than their mono forms, and in 2022 and 2023, FDCs of calcium channel blockers have begun to outsell their combined formulations. Triple FDCs of the RAS antagonists with calcium channel blockers and diuretics have been increasing regularly. In Türkiye, drug groups that have had the highest share in the antihypertensive drug market in recent years are the groups recommended in the guidelines. Increasing the triple FDC consumption is valuable for the rational treatment of hypertension. © 2025 Society of Pharmaceutical Sciences of Ankara (FABAD). All rights reserved.
Greenfluencers as Promoters of Sustainable Consumption: a Cross-Country Analysis
(Palgrave Macmillan, 2025) Tavman, E.B.; Yalçın Doğan, D.
Achieving sustainable consumption and production is a key challenge in emerging markets. Consumer behavior theories from developed countries often fail to explain consumer behaviors in these regions (Mahrous, 2019; Yarimoglu & Binboga, 2019). Although social media influencers impact consumer attitudes, more research is needed on greenfluencers in emerging markets for sustainable communication. Social media can play a crucial role in fostering responsible consumption by increasing environmental awareness. This study analyzes Instagram posts from 18 greenfluencers in Türkiye and the U.S. from October 2023 to October 2024, identifying themes such as zero waste and sustainable lifestyles that promote sustainable consumption. The findings indicate that Türkiye addresses a wider range of sustainability topics than the U.S., focusing more on zero waste, sustainable cosmetics, and lifestyle. In contrast, the U.S. emphasizes plant-based food and eco-friendly practices. The results contribute valuable insights to the literature and offer guidance for sustainable marketing strategies across different countries. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
Natural Convection of Water/Titanium Oxide Nanofluid Inside a Closed Enclosure at Different Angles of Attack
(Elsevier B.V., 2025) Sabri, L.S.; Ali, A.B.M.; Akbari, O.A.; Montazerifar, F.; Kahbandeh, F.; Salahshour, S.; Mokhtarian, A.
In most industrial applications, several situations are associated with closed enclosures, such as avionics, automotive, cooling/heating systems in buildings, electronic equipment, food, and phase change materials. In this paper, the natural convection (NC) of a Newtonian fluid inside a Non-Square Closed Enclosure (NSCE) is numerically simulated. The working fluid is a water/Titanium oxide nanofluid (NF) with volume fractions in the range of φ = 0 to 4 % and experiences a laminar flow with Rayleigh numbers (Ra) from 103 to 105. To benefit from better flow mixing, NSCE undergoes five different angles of attack -90°, -45°, 0°, 45°, and 90° degrees (cases 1 to 5, respectively). This research was solved using a computer code in two-dimensional space in steady state using the finite volume method. The solid-fluid suspension is considered homogeneous, single-phased, and Newtonian. The Boussinesq approximation is used for the density term. A SIMPLE algorithm is used for decoupling pressure and velocity fields. The results suggest that increasing the Ra number strengthens the fluid velocity components in the Closed Enclosure (CE). In all cases, the maximum Nusselt number (Nu) occurs at the interface between the fluid and the hot surface. In cases (1) and (5), due to the elongation of the fluid path, the circulation effects become more important, creating an anomaly in the friction factor for the Ra = 105. A symmetric pattern in the Nu number diagrams in cases (2) and (4) is evident which is due to the invariance of this parameter in these two cases. Entropy generation is influenced by fluid circulation and rotation. In all cases and conditions, the use of solid nanoparticles reduces the temperature gradient, which significantly affects the removal of hot spots with high entropy and consequently reduces the average entropy generation. Increasing the angle of attack of the closed enclosure compared to the smooth case (case 3) at Rayleigh numbers 103 and 104 can increase the friction coefficient by a factor of 1.62. Also, at Rayleigh number 104, changes in the angle of attack of the closed enclosure will experience a decrease in the Nusselt number and average heat flux by <8 % compared to the smooth case. At Rayleigh number 103, the 10 % increase in the average Nusselt number and heat flux is only due to the increase in the volume fraction of the solid nanoparticle and is somewhat independent of the angle of attack of the closed enclosure. © 2025 The Author(s)
Artificial Intelligence Anxiety Levels of Faculty of Health Sciences Students and Affecting Factors
(AVES, 2025) Çoban, N.; Kar, D.; Berk, Ş.N.
Objective: Artificial intelligence (AI) technology advancements are poised to bring significant changes to the healthcare field. As the adoption of AI systems in healthcare continues to grow, there is an increasing need to equip future healthcare professionals with the necessary knowledge and skills to work effectively with these technologies. This study explores the level of anxiety related to AI and examines the factors influencing this anxiety among university students enrolled in health sciences programs. Methods: This cross-sectional study was descriptive and correlational. The study was carried out with 450 students at the İstanbul Gedik University, Faculty of Health Sciences (Department of Nursing, Physiotherapy and Rehabilitation, Child Development, Nutrition and Diet, Occupational Health and Safety). A descriptive questionnaire and an AI anxiety scale were used to obtain the research data, which were analyzed using numerical data, descriptive statistics, analysis of variance, independent groups t-test, and post-hoc analysis. Results: The mean total score on the Artificial Intelligence Anxiety Scale (AIAS) was 109.642 ± 30.452 (min = 42; max = 147). Among the sub-dimensions of the AIAS, the mean of the Learning sub-dimension was 41.096 ± 12.083 (min = 16; max = 56), the mean of the Job Change sub-dimension was 31.118 ± 9.022 (min = 12; max = 42), the mean of the Sociotechnical Blindness sub-dimension was 21.558 ± 5.892 (min = 8; max = 28), and the mean of the AI Configuration sub-dimension was 15.871 ± 4.831 (min = 6; max = 21). Conclusion: According to this study, students from the Faculty of Health Sciences had a high level of AI anxiety. Significant differences were found between students’ AI anxiety levels according to gender, their thoughts about AI, their trust in AI-based devices, their desire to change their profession because of AI, and their use of AI in patient care. © 2025 AVES. All rights reserved.
Prediction of the Viscosity of Iron-Cuo/Water-Ethylene Glycol Non-Newtonian Hybrid Nanofluids Using Different Machine Learning Algorithms
(Elsevier Ltd, 2025) Graish, M.S.; Ali, A.B.M.; Al-Zahiwat, M.M.; Alardhi, S.M.; Baghoolizadeh, M.; Salahshour, S.; Pirmoradian, M.
Viscosity is a crucial parameter for heat transfer systems, governing pumping power, Rayleigh number, and Reynolds number; thus, viscosity prediction for hybrid nanofluids is important. Although some studies have employed ML algorithms for predicting viscosity, limited ML algorithms or specific nanofluid types were examined in previous studies, disregarding the complexities involved in the rheological behavior of a complex nanofluid system such as non-Newtonian hybrid nanofluids. To overcome this limitation, this study offers a practical contribution by utilizing 20 different machine-learning models to predict the viscosity of iron-CuO/water-ethylene glycol non-Newtonian hybrid nanofluids. The influences of the input variables: solid volume fraction (SVF), temperature, and shear rate on viscosity prediction are systematically assessed. We evaluate the prediction accuracy and reliability of algorithms using ten performance metrics including RMSE, MAE, R2 and NSE. Multivariate Polynomial Regression (MPR) outperforms the other algorithms, which is evident in the highest correlation coefficient (R2 = 0.992) and lowest error metrics. At the other end, is the Extreme Learning Machine (ELM), which turns out to be the worst performer. A unique contribution of this paper is that we extract a mathematical equation from the MPR model that allows for straightforward calculation of viscosity, avoiding non-trivial ML computations. This simplicity aids in practical applications and increases usefulness for engineers and researchers alike. Using advanced data visualization techniques (heatmaps, box plots, KDE plots and Taylor diagrams), the relationships between input variables and viscosity as well as the model performance are explored. These results give a better understanding of the non-Newtonian hybrid nanofluid behavior and a solid predictor of design-efficient heat transfer systems. © 2025 The Authors
Examining the Burnout of Audiologists in Türkiye Relationships With Quality of Work Life and Psychological Well-Being
(Amer Speech-Language-Hearing Assoc, 2025) Akbulut, Ahmet Alperen; Demirel, Aysenur Karaman; Sacli, Yeter; Satici, Sema; Ozcan, Ahsen Kartal; Ciprut, Ayca
Purpose: Although burnout among audiologists has been studied in various countries, there is no research yet that examines this issue in T & uuml;rkiye, where working conditions and sociodemographic factors may differ from those in other countries. Considering the unique working conditions and sociodemographic factors, this study aimed to investigate the burnout levels of Turkish audiologists. Additionally, this study will explore the impact of various sociodemographic variables on burnout, work-related quality of life, and depression to gain a deeper understanding of the specific challenges faced by audiologists in T & uuml;rkiye. Method: A total of 193 audiologists, with a median age of 27 (interquartile range: 25-29) years, working in different working areas, such as clinical practice, academic institutions, rehabilitation centers, and amplification services in T & uuml;rkiye, were included. Audiologists were invited to participate in this study via several online forums and hospital notice boards. All participants completed the sociodemographic data form and then the Maslach Burnout Inventory (MBI), Work- Related Quality of Life Scale (WRQoL), and Beck Depression Inventory (BDI). Results: Differences between MBI, WRQoL, and BDI scores were analyzed according to gender, level of education, area of work, and title of audiologist. There are significant differences in the subscale scores of the MBI and WRQoL scales and in the BDI scores between groups according to gender, education, and area of work. There are also significant differences in BDI scores according to title. There is a significant correlation between the MBI, WRQoL, and BDI scores of audiologists. Conclusions: This study represents the initial exploration of burnout, quality of work life, and depression levels among audiologists employed in T & uuml;rkiye. A low quality of work life can increase the risk of burnout and depression. Enhancements in the work environment can lessen burnout and depression while also improving employees' general quality of life.
A Research on the Effects of the Pandem on Football Economy
(Ataturk Universitesi, 2021) Dikici, S.T.; Güler, C.; Çavuşoğlu, S.B.
This study aims to examine how the disease, called COVID-19, which first appeared in Wuhan, China in December 2019, has affected football, the common passion of millions of people around the world, as it turned into a global pandemic. In the research, Europe's five major football leagues (Premier League, La Liga, Bundesliga, Serie A and Ligue 1), the Champions League and the Uefa Europa League were examined. The study will first focus on the point the football economy has reached today, and then the matchday revenues, broadcasting revenues and commercial revenues of international organizations, which are the biggest revenue items of the football economy, of the competitions that were postponed or canceled with the onset of the epidemic. During the examination, the decisions taken in order to prevent the negative effects of the epidemic on leagues, clubs and athletes, aid campaigns and awareness-raising projects organized through social media platforms will be included. © 2021, Ataturk Universitesi. All rights reserved.

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