Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Permanent URI for this collectionhttps://hdl.handle.net/20.500.14517/19
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Article Citation Count: 0Effect of channel roughness on the particle diffusion and permeability of carbon nanotubes in reverse electrodialysis process applying molecular dynamics simulation(Elsevier Inc., 2025) Li, Y.; Ali, A.B.M.; Tapia, N.E.F.; Kamolova, N.; Salahshour, S.; Sabetvand, R.Innovative technology and methods are crucial for making pure and refreshing water. Two main methods are present to delete soluble salts from water: membrane processes and thermal processes. A beneficial membrane technique is reverse electrodialysis. This research used molecular dynamics (MD) simulation to investigate how channel roughness affected particle diffusion and permeability in carbon nanotubes (CNTs) via the reverse electrodialysis process. The results indicate that adding roughness in the CNT duct increased the force between the primary fluid and the duct. Using an armchair-edged CNT structure maximized the electric current in the sample. Furthermore, the roughness increased the intensity of force in the channel, which was due to gravity, leading to a decrease in the mobility of fluid particles. Additionally, several broken hydrogen bonds inside the simulation box increased from 116 to 128 in the duct sample with roughness. © 2024 Elsevier Inc.Article Citation Count: 0Search for long-lived particles decaying to final states with a pair of muons in proton-proton collisions at s = 13.6 TeV(Springer Science and Business Media Deutschland GmbH, 2024) Hayrapetyan, A.; Tumasyan, A.; Adam, W.; Andrejkovic, J.W.; Bergauer, T.; Chatterjee, S.; Piedra Gomez, J.An inclusive search for long-lived exotic particles (LLPs) decaying to final states with a pair of muons is presented. The search uses data corresponding to an integrated luminosity of 36.6 fb−1 collected by the CMS experiment from the proton-proton collisions at s = 13.6 TeV in 2022, the first year of Run 3 of the CERN LHC. The experimental signature is a pair of oppositely charged muons originating from a secondary vertex spatially separated from the proton-proton interaction point by distances ranging from several hundred μm to several meters. The sensitivity of the search benefits from new triggers for displaced dimuons developed for Run 3. The results are interpreted in the framework of the hidden Abelian Higgs model, in which the Higgs boson decays to a pair of long-lived dark photons, and of an R-parity violating supersymmetry model, in which long-lived neutralinos decay to a pair of muons and a neutrino. The limits set on these models are the most stringent to date in wide regions of lifetimes for LLPs with masses larger than 10 GeV. © The Author(s) 2024.Article Citation Count: 0Observation of the Λb0→J/ψΞ-K+ decay(Springer Nature, 2024) Hayrapetyan, A.; Tumasyan, A.; Adam, W.; Andrejkovic, J.W.; Bergauer, T.; Chatterjee, S.; Villalba, C.V.Using proton–proton collision data corresponding to an integrated luminosity of 140fb-1 collected by the CMS experiment at s=13TeV, the Λb0→J/ψΞ-K+ decay is observed for the first time, with a statistical significance exceeding 5 standard deviations. The relative branching fraction, with respect to the Λb0→ψ(2S)Λ decay, is measured to be B(Λb0→J/ψΞ-K+)/B(Λb0→ψ(2S)Λ)=[3.38±1.02±0.61±0.03]%, where the first uncertainty is statistical, the second is systematic, and the third is related to the uncertainties in B(ψ(2S)→J/ψπ+π-) and B(Ξ-→Λπ-). © The Author(s) 2024.Article Citation Count: 0Search for a resonance decaying to a W boson and a photon in proton-proton collisions at s = 13 TeV using leptonic W boson decays(Springer Science and Business Media Deutschland GmbH, 2024) Hayrapetyan, A.; Tumasyan, A.; Adam, W.; Andrejkovic, J.W.; Bergauer, T.; Chatterjee, S.; Sánchez Navas, S.A search for a new charged particle X with mass between 0.3 and 2.0 TeV decaying to a W boson and a photon is presented, using proton-proton collision data at a center-of-mass energy of 13 TeV, collected by the CMS experiment and corresponding to an integrated luminosity of 138 fb−1. Particle X has electric charge ±1 and is assumed to have spin 0. The search is performed using the electron and muon decays of the W boson. No significant excess above the predicted background is observed. The upper limit at 95% confidence level on the product of the production cross section of the X and its branching fraction to a W boson and a photon is found to be 94 (137) fb for a 0.3 TeV resonance and 0.75 (0.81) fb for a 2.0 TeV resonance, for an X width-to-mass ratio of 0.01% (5%). This search presents the most stringent constraints to date on the existence of such resonances across the probed mass range. A statistical combination with an earlier study based on the hadronic decay mode of the W boson is also performed, and the upper limit at 95% confidence level for a 2.0 TeV resonance is reduced to 0.50 (0.63) fb for an X width-to-mass ratio of 0.01% (5%). © The Author(s) 2024.Article Citation Count: 0The effect of external force on the crack propagation of aluminum nanoplate using molecular dynamics approach: Insights into the fracture mechanisms of metallic nanomaterials under external loading condition(Elsevier B.V., 2024) Hussein, S.A.; Rasheed, R.H.; Al-Zahiwat, M.M.; Mohammed, A.A.; Salahshour, S.; Baghaei, S.It is crucial to comprehend how external forces (EFs) affect crack propagation (CP) in aluminum (Al) nanoplates to develop and create nanomaterials with enhanced mechanical characteristics. The creation of novel materials for a variety of uses, such as the aerospace, electronics, and energy sectors, may benefit from this expertise. Additionally, insights into the fracture mechanisms of nanomaterials can aid in designing more reliable and durable structures at the nanoscale. This study utilized computer models to investigate the effect of EFs on fractures in Al nanoplates. The results suggest that an EF can significantly alter CP within nanoplates. The findings provide insights into the fracture mechanisms of metallic nanomaterials under external loading conditions. Simulation results in current research showed the physical stability of modeled Al nanoplates at T=300 K as the initial temperature. Numerically, the total energy (TE) of pristine nanoplate converged to −34762.953 eV after thermodynamic equilibrium detection inside the computational box. Furthermore, the simulation results show that EF caused the crack growth procedure intensity to increase. In the present study, the crack length value increased to 33.902 Å between our modeled samples. This result led to the conclusion that in real-world applications, it is important to consider the effect of EFs on the development of cracks within Al nanoplates. © 2024 Elsevier B.V.Article Citation Count: 0Investigation of miRNA-199a-5p Expression and its Clinical Association With LDL Cholesterol Levels in Atherosclerosis(2024) Barut, Z.; Akdeniz, F.T.; Avsar, O.; Cabbar, A.T.BACKGROUND/AIM: Atherosclerosis is a chronic and progressive pathological condition marked by the accumulation of lipids, fibrous materials, and inflammatory cells, within the arterial walls. MicroRNAs (miRNAs) are single-stranded, evolutionarily conserved, non-coding small RNAs, that play a pivotal role in controlling various pathophysiological cellular functions and molecular signalling cascades associated with the development of atherosclerosis. Additionally, dysregulation in cholesterol and lipid metabolism is known to increase susceptibility to atherosclerosis. In this study, we aimed to determine the changes in serum levels of miRNA-199a-5p, examine its relationship with LDL cholesterol, and investigate its diagnostic value in patients diagnosed with atherosclerosis. MATERIALS AND METHODS: MiRNA-199a-5p expression analysis was conducted using PCR on serum samples from 20 patients diagnosed with atherosclerosis and 26 completely healthy, voluntary control subjects. The blood biochemical analysis values for all groups participating in the study were obtained from their records. RESULTS: The data analysis revealed significant up-regulation of miRNA-199a-5p in the serum of the patient group. Additionally, miRNA-199a-5p expression levels positively correlated with LDL cholesterol levels. CONCLUSION: miRNA-199a-5p can be considered a reliable biomarker in patients with atherosclerosis, potentially informing and guiding future therapeutic approaches. Additionally, a significant relationship was found between lipid metabolism and miRNA-199a-5p in atherosclerosis. Copyright © 2024, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.Article Citation Count: 0Which Disability Domain(s) of Health Assessment Questionnaire Is Associated with Which Age Category in Patients with Rheumatoid Arthritis? A Single Center Cohort Study(AVES, 2024) Gür Kabul, E.; Balkişli, B.Ç.; Kuru, S.; Başakçi Çalik, B.; Karasu, U.; Çobankara, V.; Radyoterapi / RadiotherapyObjective: The aim was to determine which age category had more problems in which disability domain(s) in patients with Rheumatoid Arthritis (RA). Methods: One hundred eighty-six RA were included in the study. Patients were divided into 3 groups: Middle-aged group: 31-45 years (n = 42); Adult group: 46-64 years (n = 82); Elderly group: 65 years and older (n = 62). Disability levels were evaluated with the Health Assessment Questionnaire (HAQ) and the level of general pain with the Visual Analogue Scale (VAS). Results: In the middle-aged group, the age parameter had a low correlation with the “common activities” disability domain (r= 0.437; P= .004) and total score (r= 0.311; P= .045) of HAQ. In the adult group, VAS had a low correlation with all disability domains except the “grip” disability domain and the total score of HAQ (r = 0.240/0.370, P < .05). In the elderly group, age parameter had a low correlation with the “reach” (r= 0.251; P= .049) and “common activities” (r= 0.331; P= .008) disability domains of HAQ, while VAS had a low and moderate correlation with all disability domains and the total score of HAQ (r = 0.344/0.568, P < .05). Conclusion: In RA, disability may be felt most in common activities in middle age, while pain may play a role in the perception of general disability in adults. While the elderly with RA continue to be under the influence of pain, they may also feel disability in reach activities in addition to common activities. © 2024 AVES. All rights reserved.Article Citation Count: 0A numerical study of the effect of graphene nanoparticle size on brownian displacement, thermophoresis, and thermal performance of graphene/water nanofluid by molecular dynamics simulation(Elsevier B.V., 2024) Almutter, H.H.J.; Hassan, W.H.; Hussein, S.A.; Jasim, D.J.; Salahshour, S.; Emami, N.Brownian motion, often known as BM, is an inherent characteristic of minute particles suspended in a fluid. It plays an important role in several physical and chemical processes. Thermophoresis refers to the process where particles in a fluid are carried along with a gradient in temperature (Temp). This feature has significant importance in several applications, including microfluidics, thermal control, and energy conversion. Through the examination of the thermophoresis phenomenon in water/graphene nanofluid (NF), researchers might get valuable knowledge on the potential uses of these materials. The current study examined the effect of various sizes of graphene nanoparticles (NPs) (5, 6, 9, and 10 Å) on the thermal behavior (TB), BM, and thermophoresis of water/graphene NF using molecular dynamics (MD) simulation. This study reported the changes in heat flux (HF), thermal conductivity (TC), average Brownian displacement (BD), and thermophoresis. It is concluded that by increasing the size of graphene NPs from 5 to 10 Å, the average BD and thermophoresis increased from 3.06 Å and 23.88 Å to 4.16 Å and 31.46 Å, respectively. Due to their higher kinetic energy (KE) and momentum, larger graphene NPs experienced more BM, enabling them to withstand random thermal fluctuations more effectively than smaller particles. In addition, as the size of graphene NPs increased, the HF and TC values increased from 39.54 W/m2 and 0.36 W/(m.K) to 47.19 W/m2 and 0.51 W/(m.K) after 10 ns. Therefore, the size-dependent changes in BD and thermophoretic effects led to a simultaneous increase in HF and TC of the NF, which was attributed to the larger heat transfer (HT) surface area, improved HT properties, and synergistic effects of larger graphene NPs. The maximum (Max) temperature increases from 1415 K to 1504 K. These findings were useful in a variety of industries, particularly for improving TB in different NFs. © 2024 The Author(s)Article Citation Count: 0Exploring the Application of Building Information Modeling (BIM) in Town Planning: Key Roles in the Relationship Between Buildings and Parcels(Prof.Dr. İskender AKKURT, 2024) Taşkaya, S.; Wu, D.; Kurt, M.; Liao, Y.; Xu, J.; Liao, W.; Geomatik Mühendisliği / Geomatics EngineeringThe configuration of buildings is influenced by various parameters, including ground floor area, horizontal distances, static structure, and construction materials like reinforced concrete or steel, as well as electrical and mechanical project systems. The parcel is the foundational element in building formation, determining the building's boundaries according to the structural form feature of the parcels, height ratios, and comparable construction rates. This study explores the relationship between buildings and their parcels using building information modeling (BIM) and its implications for town planning and construction. BIM is a comprehensive tool that harnesses advanced information modeling to integrate building data and resources, providing real-time insights and enabling precise coordination between architectural elements and town parcels. Modeling the entire lifecycle of building development—from initial planning to completion—enhances decision-making and operational efficiency, streamlining planning and construction process efforts through data-driven management at each stage. The study aims to clarify the process by which a building is shaped on its parcel and identifies key considerations, offering a process framework for understanding the correlation between building and parcel criteria. © IJCESEN.Article Citation Count: 0Simulation of flow dynamics and heat transfer behavior of nanofluid in microchannel with rough surfaces(Elsevier B.V., 2024) Kashani, A.; Rasheed, R.H.; Hussein, M.A.; Akbari, O.A.; Abdul-Redha, H.K.; Ahmadi, G.; Sabetvand, R.Microchannels containing cooling fluid are among the most widely used equipment in the cooling of microscale devices, such as heat sinks in the electronics industry. In this numerical research, the flow of water/magnesium-oxide nanofluid in a 3D rectangular microchannel is simulated and investigated. The flow field and heat transfer are analyzed for the laminar flow with Reynold number (Re)= 100, 300, 700, and 1000 and nanoparticle volume fraction (φ) =0, 0.02, and 0.04. The rough surfaces include rectangular cubic ribs arranged in three one in each row along the length with 2, 3, 4, and 5 rows. The ribbed surface is under a constant heat flux. The results include examining changes in Nusselt number (Nu), pressure drop, pumping power, friction factor, and total flow entropy generation. Moreover, the contours of the temperature, pressure, and velocity distribution fields will be discussed. The results reveal that the heat transfer and physics of flow are highly dependent on hydrodynamic behavior. Increasing the number of ribs on the hot surfaces increases the pressure drop, pumping power, and heat transfer. Increasing φ also greatly affects the heat transfer rate. In the case of using 5 ribs and with φ=0.04, in Re=1000 and 700, the microchannel has the highest average Nu, pressure drop, and pumping power. © 2024 The Author(s)Article Citation Count: 0Assessment of Radiation Protection Knowledge and Practical Skills Among Health Services Vocational School Students Using Dosimeters(Prof.Dr. İskender AKKURT, 2024) Sarihan, M.; Soyal, H.; Radyoterapi / RadiotherapyRadiation-based devices are crucial in diagnosing various diseases. During their clinical internships, students at Health Services Vocational Schools utilize different radiation-based devices under supervision. This survey study is designed to assess the knowledge of health technician students regarding radiation protection and application, as well as to enhance their awareness about ionizing radiation safety. The participants of the study were second-year students from the Health Services Vocational School. They were asked to complete a survey that included 20 multiple-choice questions and 8 demographic questions, aimed at measuring their fundamental knowledge of radiological examinations. A total of 123 students from the School of Health Services Vocational School (40 in the radiotherapy program and 83 in the medical imaging program) participated in the survey. According to the survey results, none of the students were able to correctly answer all the questions regarding radiation safety. However, 76.6% of the students correctly answered the statement “The radiation dose in a radioactive source shot is absolutely safe and has no effect on health.” In addition, 73.5% of the students stated that they were aware of the necessity of using lead aprons and thyroid shields during imaging procedures.Our study found that students at the Health Services Vocational School generally possess a satisfactory understanding of occupational health and safety as well as radiation protection. In light of these findings, it is suggested that universities place a greater emphasis on radiation protection training and enhance opportunities for ongoing education in this area. © IJCESEN.Article Citation Count: 0Innovative approache for the nonlinear atangana conformable Klein-Gordon equation unveiling traveling wave patterns(Elsevier B.V., 2024) Rezazadeh, H.; Hosseinzadeh, M.A.; Zaidan, L.I.; Awad, F.S.; Batool, F.; Salahshour, S.The aim of current work is to establish novel traveling wave solutions of the nonlinear Atangana conformable Klein - Gordon equation using a new extended direct algebraic technique. The Klein - Gordon equation is the relativistic state of the Schrödinger equation with a second - order time derivative and zero spin. Complex wave variable transformation is used to convert Atangana conformable nonlinear differential equation into an ordinary differential equation. Using the proposed technique based on Maple software structure, various types of solutions, such as, generalized trigonometric, generalized hyperbolic, and exponential functions, are established. When special parameteric values are considered for this method, solitary wave solutions can be obtained through other methods, such as the ([Formula presented])-expansion method, the modified Kudryashov method, the sub-equation method, and so forth. A physical explanation is provided for the solutions under consideration to enhance comprehension of the physical phenomena resulting from the obtained solutions, provided that the physical parameters are set appropriately using 3D, 2D, and contour simulations. The results demonstrated that the new extended direct algebraic method provides a more potent mathematical tool for solving numerous more nonlinear partial differential equations with the aid of symbolic computation. © 2024Article Citation Count: 0Effect of external force on the dispersion of particles and permeability of substances via carbon nanotubes in reverse electrodialysis using molecular dynamics simulation(Elsevier B.V., 2024) Jasim, D.J.; Ali, A.B.M.; Almehizia, A.A.; Zen, A.A.; Salahshour, S.; Esmaeili, S.Background: Using novel technologies and solutions is crucial for producing clean water. There are different ways to remove dissolved salts from water. Methods: This study aimed to analyze the effect of an external force (EF) on the morphology of channels, the dispersion of particles, and the permeability of substances via carbon nanotubes in reverse electrodialysis. It was done using a computer simulation that studied the movement of molecules. This research aimed to study the effect of EF on the dispersion of particles and permeability of substances via carbon nanotubes using a reverse electrodialysis approach. The results show that increasing the EF from 0.0001 to 0.0005 eV/Å increased the electric current and fluid flow intensity from 5.31 e/ns and 211.31 atom/ns to 5.62 e/ns and 263.01 atom/ns. Moreover, the density decreased from 4.83 to 4.66 atom/nm3. Furthermore, the number of broken hydrogen bonds increased from 116 to 166. Significant findings: By understanding the effect of EF on particle movement and material passage through carbon nanotubes, researchers can optimize the design of reverse electrodialysis systems to enhance their performance. This can lead to more effective and cost-efficient water treatment solutions, crucial for producing clean water. © 2024 The Author(s)Article Citation Count: 0Leveraging AI-Powered Neural Machine Translation to Bridge the Gap: Translating Arabic Islamic Terminology into English(Elite Scientific Publications, 2024) Alharazi, A.F.A.; Alhebshi, S.H.S.; Taleb, N.R.M.This paper assesses the appropriateness of NMT in translating Arabic Islamic terms into English, determining the main issues, and providing solutions. Some of the key concerns highlighted in the study are the scarcity of large corpora, the inability of NMT to deal with specific features of languages and the lack of adequate context and cultural supplements. In response to these challenges, four main recommendations have been highlighted in the report as follows. First, it prescribes the formation of special corpora containing various Islamic materials like the Quran, Hadiths, and theological writings. This will help to feed NMT systems with the inherent contextually relevant content data for the most work-related tasks. Secondly, it recommends the integration of other approaches with NMT such as rule-based and statistical translation that can handle idiomatic expressions and contextual interpretation. Third, it adopts the post-editing technique whereby the machine-translated text is checked by human translators to ensure adherence to cultural and contextual considerations. Lastly, the report urges more multi-ethnic cooperation among researchers, innovators, and translators to improve the accuracy and usefulness of translations. The paper finds that although NMT has advanced greatly in the field of translation technology, there are still challenges in translating complicated works in the Arabic and Islamic contexts. The adoption of these suggestions could enhance the quality of translations by a significant notch, thus producing translations that are more precise and sensitive to cultural differences. Thus, the conclusions drawn from the research affect the development of new technologies and cooperation in machine translation. © (2024), (Elite Scientific Publications). All rights reserved.Article Citation Count: 0Analysis of Second-Order Linear Fuzzy Differential Equation Under an Innovative Fuzzy Derivative Approach and Its Application(World Scientific, 2024) Rangarajan, K.; Singh, P.; Salahshour, S.; Mondal, S.P.Fuzzy derivatives are a concept based on fuzzy calculus, which extends classical calculus to handle uncertainty and vagueness, habitually represented using fuzzy sets or fuzzy numbers. In fuzzy calculus, the derivative incorporates fuzziness, meaning both the input and output can have imprecise or uncertain values. In this paper, the step size is also considered as a fuzzy number. The impact of fuzziness in step size is studied here for first- and second-order fuzzy derivatives. Under this proposed derivative, differentiation of fuzzy exponential function is estimated. The concept is applied for solving second-order linear fuzzy differential equation. The proposed approaches are applied to spring mass system dynamics in fuzzy environment. Lastly, numerical illustrations on second-order fuzzy differential equations are shown using analytical technique and graphically the results are displayed. © World Scientific Publishing Company.Article Citation Count: 0AI Integrated Theoretical/Organic Chemistry is Set to Revolutionize the Future of Education and De Novo Drug Discovery(Science and Education Publishing Co. Ltd, 2024) Agar, S.; Tokay, I.; Akkurt, B.; Gokoluk, E.; Akbulut, M.B.; Ozler, B.D.; Elmas, M.This article discusses the rapidly expanding artificial intelligence (AI) tools combined with theoretical and organic chemistry software to point out the fact that near future is being reborn with a new education system and research system in drug discovery. The integration of AI into the field of chemistry and pharmacy has expanded rapidly in recent years. There has been a significant surge in both journal articles and patents, particularly from 2015 onward. Analyzing the distribution of these publications across various pharmaceutical and chemical research domains reveal that theoretical chemistry, organic chemistry and biochemistry have embraced AI most extensively, showing the highest growth rates. Utilizing such new software tools in educational research centers and academia, students and scholars can learn and apply much more long-durational and larger techniques in shorter times to yield massive results for the sake of humankind’s future with no diseases. This new type of educational and research-oriented technique integrating the control and check mechanism of AI is being used today for the design of new drugs which are essential for the longevity. The utilization of AI with in-silico studies and education increases the ability to stop diseases with a logarithmic increase while the old-fashioned ways of chemistry will be no more in the near future. Overall, this research paper offers a comprehensive overview of AI's advancement in pharmaceutical and chemical area and sheds light on its potential future trajectories. © The Author(s) 2024.Conference Object Citation Count: 0Analysis and Implementation of Sensorless PMSM Drive with Reduced DC-Link Capacitance Under Parameter Variations(Institute of Electrical and Electronics Engineers Inc., 2024) Simsek, R.O.; Calik, R.; Yavuz, F.S.; Kivanc, O.C.In AC drives used in heating, ventilation and air-conditioning applications, film capacitors are becoming widespread instead of electrolytic capacitors in DC-link. These drives with reduced capacitor value provide cost and volume advantages. However, dc-link oscillation increases due to the reduced capacity value. These oscillations cause instability, overvoltage and an increase in total harmonic distortion (THD). On the other hand, the winding temperatures of these motors, which operate continuously under rated operating conditions, reach 80 °C. The stator resistance and rotor flux value, which change with the increase in temperature, cause these drives, controlled without sensors, to operate even more unstable. In this study, a hybrid approach is proposed to improve the performance of the inverter using a 16 μF film capacitor at the dc-link and to reduce the THD. The active damping method regulates the inverter output voltage for DC-link voltage stabilization. A permanent magnet synchronous machine (PMSM) sensorless speed control based on stator feedforward voltage estimation and a model reference adaptive system (MRAS) based on a multiparameter estimation algorithm is performed to minimize the effects of parameter variations. As a result of the experimental studies, it is observed that the grid input current complies with the IEC61000-3-2 standard, even under severe parameter variations. © 2024 IEEE.Review Citation Count: 6Turkish adaptation and reliability and validity study of parent attitudes about childhood vaccines survey(Galenos Publishing House, 2020) Bulun, M.A.; Acuner, D.Aim: Since the discovery of vaccines, opposing views have emerged and spread to the present day. Despite being based on different beliefs in different societies, anti-vaccination has become a rapidly growing social movement worldwide. Resistance to vaccination was included among health hazards at a global level by the World Health Organization in 2019. In a review of the literature, some studies conducted on vaccine rejection, vaccine hesitations and vaccine acceptance were found in different countries, but no studies in which vaccine hesitation was examined had been conducted in Turkey. The main reason was considered to be the lack of a vaccine attitude scale adapted into the Turkish language. The aim of this study was to carry out a vaccination attitudes scale validity and reliability test on a scale which had been proven in foreign empirical studies and been translated into the Turkish language and to publish the scale in the field literature to be used in future vaccination attitudes studies in Turkey. Materials and Methods: This study is a methodological study. The Parent Attitudes about Childhood Vaccines (PACV) scale was translated into Turkish by three experts who were competent in both English and Turkish, then it was translated back into English again. As a result of the comparison made, several changes were made to the Turkish scale. A pilot application was used and its results were evaluated. Confirming the results of the pilot application, the scale was applied to 225 parents. The reliability of the analyzed data was tested via Cronbach's alpha. Results: The reliability of the data was determined to be 0.84, and the scale was considered reliable. Confirmatory factor analysis for the adapted scale was carried out, and the adaptation of the scale into Turkish was completed. Conclusion: The Turkish version of the PACV scale is a valid and reliable scale for evaluating vaccine attitudes including vaccine rejection, vaccine hesitations and vaccine acceptance. ©Copyright 2020 by Ege University Faculty of Medicine, Department of Pediatrics and Ege Children's Foundation.Article Citation Count: 0Deep prediction on financial market sequence for enhancing economic policies(Springer int Publ Ag, 2024) Salahshour, Soheil; Salimi, Mehdi; Tehranian, Kian; Erfanibehrouz, Niloufar; Ferrara, Massimiliano; Ahmadian, AliNumerous sectors are significantly impacted by the quick advancement of image and video processing technologies. Investors can kind knowledgeable savings choices based on the examination and projection of financial bazaar income, and the government can create accurate policies for various forms of economic control. This study uses an artificial rabbits optimization algorithm in image processing technology to examine and forecast the returns on financial markets and multiple indexes using a deep-learning LSTM network. This research uses the time series technique to record the regional correlation properties of financial market data. Convolution pooling in LSTM is then used to gather significant details concealed in the time sequence information, generate the data's tendency bend, and incorporate the structures using technology for image processing to ultimately arrive at the forecast of the economic sector's moment series earnings index. A popular artificial neural network used in time series examination is the long short-term memory (LSTM) network. It can accurately forecast financial marketplace values by processing information with numerous input and output timesteps. The correctness of financial market predictions can be increased by optimizing the hyperparameters of an LSTM model using metaheuristic procedures like the Artificial Rabbits Optimization Algorithm (ARO). This research presents the development of an enhanced deep LSTM network with the ARO method (LSTM-ARO) for stock price prediction. According to the findings, the research's deep learning system for financial market series prediction is efficient and precise. Data analysis and image processing technologies offer practical approaches and significantly advance finance studies.Article Citation Count: 0Investigation of Predisposing Risk Factors in Adolescent Male Water Polo Players(Sage Publications inc, 2024) Yeral, Asli; Subasi, Feryal; Tekin, Ata; Cil, Elif Tugce; Mumcu, Gonca; Yay, Meral; Sayli, UgurBackground: Shoulder injuries are prevalent in adolescent water polo (WP) players. Study aimed to determine whether preseason shoulder characteristics (range of motion [ROM], flexibility, and strength) and core endurance can identify athletes at risk of future shoulder injuries. Hypothesis: Shoulder characteristics, including changes in ROM (internal rotation [IR], external rotation [ER], and total), strength (IR and ER), pectoralis minor flexibility, shoulder capsule flexibility, and core endurance, would be risk factors for shoulder reinjury in athletes with previous overuse injuries compared with noninjured athletes. Study Design: Prospective cohort study. Level of Evidence: Level 3. Methods: At baseline, 53 male youth WP players (mean age, 16.6 +/- 3.5 years) were assigned to Group 1 (with previous shoulder injuries [G1, n = 26]) and Group 2 (without previous shoulder injuries [G2, n = 27]). ROM, flexibility, strength, and core muscle endurance were assessed preseason. After a 12-month follow-up, players were again divided into those who developed new shoulder injuries (G3, n = 27) and those who remained healthy (G4, n = 26). Results: Total of 26 players (49%) had previous shoulder injuries at baseline. At baseline, decreased pectoralis minor flexibility, IR, total ROM, and core endurance were found in players with a previous shoulder injury compared with players without a previous shoulder injury (P < 0.05). Conclusion: At baseline, a significant difference was present in proposed risk factors (shoulder and core endurance parameters) between players with and without a previous shoulder injury. Shoulder IR ROM and years of experience were significant predictors of shoulder injury. Early detection of modifiable proposed risk factors may help prevent reinjury in young athletes. Clinical Relevance: Screening at an early age can help identify and address pre-existing injuries, support youth athletes' return to sport after a shoulder injury, prevent new injuries, and improve performance.
