38 results
Search Results
Now showing 1 - 10 of 38
Article Citation - WoS: 10Citation - Scopus: 10Higher Rates of Cefiderocol Resistance Among Ndm Producing klebsiella Bloodstream Isolates Applying Eucast Over Clsi Breakpoints(Taylor & Francis Ltd, 2023) Isler, Burcu; Vatansever, Cansel; Ozer, Berna; Cinar, Gule; Aslan, Abdullah Tarik; Falconer, Caitlin; Harris, Patrick N. A.BackgroundCefiderocol is generally active against carbapenem-resistant Klebsiella spp. (CRK) with higher MICs against metallo-beta-lactamase producers. There is a variation in cefiderocol interpretive criteria determined by EUCAST and CLSI. Our objective was to test CRK isolates against cefiderocol and compare cefiderocol susceptibilities using EUCAST and CLSI interpretive criteria.MethodsA unique collection (n = 254) of mainly OXA-48-like- or NDM-producing CRK bloodstream isolates were tested against cefiderocol with disc diffusion (Mast Diagnostics, UK). Beta-lactam resistance genes and multilocus sequence types were identified using bioinformatics analyses on complete bacterial genomes.ResultsMedian cefiderocol inhibition zone diameter was 24 mm (interquartile range [IQR] 24-26 mm) for all isolates and 18 mm (IQR 15-21 mm) for NDM producers. We observed significant variability between cefiderocol susceptibilities using EUCAST and CLSI breakpoints, such that 26% and 2% of all isolates, and 81% and 12% of the NDM producers were resistant to cefiderocol using EUCAST and CLSI interpretive criteria, respectively.ConclusionsCefiderocol resistance rates among NDM producers are high using EUCAST criteria. Breakpoint variability may have significant implications on patient outcomes. Until more clinical outcome data are available, we suggest using EUCAST interpretive criteria for cefiderocol susceptibility testing.Article Knee Hyperextension in Chronic Stroke: Associated Biomechanical and Neuromuscular Factors(Elsevier Sci Ltd, 2025) Korkusuz, Sueleyman; Korkusuz, Busra Seckinogullari; Ozgoren, Nihat; Aritan, Serdar; Ceren, Ali Naim; Topcuoglu, Mehmet Akif; Balkan, Ayla FilBackground: This study aimed to determine the gait phase in which knee hyperextension occurs in stroke patients and to investigate the factors associated with knee hyperextension. Methods: This study included 30 stroke patients aged between 40 and 70 years with maximum knee hyperextension during the stance phase of gait. Muscle strength was evaluated with manual muscle test, and muscle tone was assessed with the Modified Ashworth Scale. Kinematic evaluation of the patients was made using the motion analysis system. Additionally, categorisation was made according to the stance phase of gait, where knee hyperextension was at its highest. Findings: A weak relationship was found between maximum knee hyperextension angle and gastrocnemius spasticity, a moderate relationship between knee flexor muscle strength, and a moderate relationship between ankle dorsiflexor muscle strength. In addition, a weak relationship was found between the maximum knee hyperextension and pelvic retraction angles. According to this clustering, it was observed that 66.67 % of the participants (20 people) showed maximum knee hyperextension in the single support phase. It was observed that the participants who had maximum knee hyperextension, especially after the mid-stance phase, had higher mean gastrocnemius spasticity. It was also observed that participants in Cluster 4, with a greater amount of maximum knee hyperextension, had the worst clinical parameters. Interpretation: Our study observed that the degree of maximum knee hyperextension was related to knee flexor and ankle dorsiflexor muscle strengths, gastrocnemius spasticity and pelvic retraction. As clinical parameters worsened, maximum knee hyperextension was thought to occur late in the stance phase. Clinical Trial code: NCT05679700Article Citation - WoS: 2Citation - Scopus: 2An Investigation of Recycled Rubber Composites Reinforced With Micro Glass Bubbles: an Experimental and Numerical Approach(Taylor & Francis Ltd, 2024) Kabakci, Gamze Cakir; Bayraktar, Emin; Aslan, OzgurRecycled rubber is widely used for its lightweight and cost-effective properties but often has limited mechanical strength, restricting its applications. This study enhances the mechanical performance of devulcanised recycled rubber by reinforcing it with micro glass bubbles (GBs) featuring a density of 0.65 g/cm(3) and an elastic modulus of 3.5 GPa, offering a high strength-to-density ratio. Uniaxial compression tests were conducted on samples with GB volume fractions of 5%, 10%, and 15%. Results were validated through finite element analysis (FEA) in ABAQUS/Standard, incorporating randomised GB distributions. A 2D representative volume element (RVE) with randomly distributed GBs was modelled, applying periodic boundary conditions to simplify the composite into an equivalent homogeneous material. Numerical simulations assessed the effects of GB diameters (30, 40, and 50 mu m) and inclusion size ranges (20-50 mu m and 10-60 mu m), finding minimal impact on results. The RVE, sized at 238 mu m, accurately represented macroscale composite behaviour. Stress-strain behaviour was analysed using average stress and strain tensors. The strong agreement between experimental and numerical results validates the proposed method, demonstrating its accuracy in predicting the mechanical behaviour of the reinforced composite material.Article Citation - WoS: 1Citation - Scopus: 1Effects of Cervical Mobilization on Balance and Proprioception in Patients With Nonspecific Neck Pain(Mosby-elsevier, 2024) Acet, Nagihan; Guzel, Nevin Atalay; Gunendi, ZaferObjective: This study investigates the effect of cervical mobilization on balance and cervical proprioception in patients with nonspecific neck pain. Methods: A prospective, double-blind, randomized clinical trial was conducted involving a 3-week treatment protocol for which 66 patients were randomly assigned to 2 groups. Both groups underwent conventional physiotherapy (hot pack and transcutaneous electrical nerve stimulation) twice a week for 3 weeks along with additional cervical mobilization in the mobilization group, and sham mobilization in the sham control group. Static and dynamic balance, cervical proprioception, cervical mobility, and pain intensity were evaluated using a Kinesthetic Skill Training System 3000 device, the "Joint Position Error Test," Cervical Range-of-Motion Instrument, and the visual analog scale, respectively. Results: After treatment, significant improvements were noted in dynamic balance, mobility, pain intensity (P < .001, P < .001, P < .001, respectively), and proprioception in the left direction of rotation in the mobilization group (P = .003) that were significantly greater than those observed in the sham mobilization group (P < .001, P < .001, P < .001, P = .003, respectively). Although a significant decrease was observed in the deficits of static balance (P = .044) and proprioception in the right direction of rotation (P = .011) after mobilization, the changes were similar in both the mobilization and sham mobilization groups (P = .192, P = .154, respectively). Conclusion: Cervical mobilization led to significant improvements in dynamic balance, pain intensity, mobility, and partial improvements to proprioception in a comparison with a sham mobilization group, while the effect on static balance was not significant.Article Citation - WoS: 2Citation - Scopus: 1Oscillation of Impulsive Linear Differential Equations With Discontinuous Solutions(Cambridge University Press, 2023) Doǧru Akgöl,S.Sufficient conditions are obtained for the oscillation of a general form of a linear second-order differential equation with discontinuous solutions. The innovations are that the impulse effects are in mixed form and the results obtained are applicable even if the impulses are small. The novelty of the results is demonstrated by presenting an example of an oscillating equation to which previous oscillation theorems fail to apply. © The Author(s), 2022. Published by Cambridge University Press on behalf of Australian Mathematical Publishing Association Inc.Article Analytic Hierarchy Process in Determining Aircraft Basic Maintenance Training Durations(Emerald Publishing, 2025) Açıkel, Gürkan; Alemdaroğlu Temel, MinePurpose – Currently, in aircraft basic maintenance training, it is determined that various aircraft basic maintenance training organizations around the world apply different basic maintenance durations for the same modules of the same licence categories. Aircraft basic maintenance training organizations are lacking a common curriculum with standard durations for the basic maintenance training modules. To remedy the problems associated with this issue, the purpose of this study is to develop and demonstrate a quantifiable reference (i.e. theoretical training and evaluation content intensity) based scientific theoretical method to determine the durations of the basic theoretical maintenance trainings held for B1.1 and B2 licence categories in aircraft basic maintenance training organizations. Design/methodology/approach – The total basic maintenance training duration was first allocated to basic, theoretical and practical maintenance trainings. The obtained basic theoretical maintenance training duration was then allocated to related modules and submodules by using weighted theoretical training content intensity and weighted theoretical evaluation content intensity, which were obtained by applying a multi-criteria decision-making approach using the analytic hierarchy process (AHP). Findings – In this study, it was found that there is no standardization upon aircraft basic maintenance training organizations for the allocation of the basic maintenance training durations to modules. To remedy this problem, a scientific method, which relies on quantifiable reference bases rather than subjective reasoning, is needed. The reference bases of the proposed theoretical method (i.e. theoretical training and evaluation content intensity) can be tuned with the inclusion of the effect of basic knowledge requirements through multi-criteria decision-making (AHP). The theoretical method proposed in this work is robust in terms of resulting in close proximity values of the basic theoretical maintenance training durations for the common modules of B1.1 and B2 licence categories. The theoretical method is proven to yield greater basic theoretical maintenance training durations for modules having greater theoretical training and evaluation content intensity and lower basic theoretical maintenance training durations for modules having less theoretical training and evaluation content intensity. A distinct similarity in terms of basic theoretical maintenance training durations and the ranking of the modules (in terms of durations) is not present when the average of the training organizations is compared to the results of the theoretical method. A quantifiable reference (i.e. theoretical training and evaluation content intensity) based scientific theoretical method to determine basic theoretical maintenance training durations was developed and demonstrated. Practical implications – Results of this study would especially be useful in an international effort to standardize the different basic theoretical maintenance training durations applied in various aircraft basic maintenance training organizations. Originality/value – To the best of the authors’ knowledge, this study is the first in providing and demonstrating a scientific theoretical method based on a systematic, multi-criteria decision-making approach to determine the durations of the basic theoretical maintenance trainings. © 2025 Elsevier B.V., All rights reserved.Article Citation - WoS: 3Citation - Scopus: 3Expectancy From, and Acceptance of Augmented Reality in Dental Education Programs: a Structural Equation Model(Wiley, 2024) Toker, Sacip; Akay, Canan; Basmaci, Fulya; Kilicarslan, Mehmet Ali; Mumcu, Emre; Cagiltay, Nergiz ErcilObjectiveDental schools need hands-on training and feedback. Augmented reality (AR) and virtual reality (VR) technologies enable remote work and training. Education programs only partially integrated these technologies. For better technology integration, infrastructure readiness, prior-knowledge readiness, expectations, and learner attitudes toward AR and VR technologies must be understood together. Thus, this study creates a structural equation model to understand how these factors affect dental students' technology use.MethodsA correlational survey was done. Four questionnaires were sent to 755 dental students from three schools. These participants were convenience-sampled. Surveys were developed using validity tests like explanatory and confirmatory factor analyses, Cronbach's alpha, and composite reliability. Ten primary research hypotheses are tested with path analysis.ResultsA total of 81.22% responded to the survey (755 out of 930). Positive AR attitude, expectancy, and acceptance were endogenous variables. Positive attitudes toward AR were significantly influenced by two exogenous variables: infrastructure readiness (B = 0.359, beta = 0.386, L = 0.305, U = 0.457, p = 0.002) and prior-knowledge readiness (B = -0.056, beta = 0.306, L = 0.305, U = 0.457, p = 0.002). Expectancy from AR was affected by infrastructure, prior knowledge, and positive and negative AR attitudes. Infrastructure, prior-knowledge readiness, and positive attitude toward AR had positive effects on expectancy from AR (B = 0.201, beta = 0.204, L = 0.140, U = 0.267, p = 0.002). Negative attitude had a negative impact (B = -0.056, beta = -0.054, L = 0.091, U = 0.182, p = 0.002). Another exogenous variable was AR acceptance, which was affected by infrastructure, prior-knowledge preparation, positive attitudes, and expectancy. Significant differences were found in infrastructure, prior-knowledge readiness, positive attitude toward AR, and expectancy from AR (B = 0.041, beta = 0.046, L = 0.026, U = 0.086, p = 0.054).ConclusionInfrastructure and prior-knowledge readiness for AR significantly affect positive AR attitudes. Together, these three criteria boost AR's potential. Infrastructure readiness, prior-knowledge readiness, positive attitudes toward AR, and AR expectations all increase AR adoption. The study provides insights that can help instructional system designers, developers, dental education institutions, and program developers better integrate these technologies into dental education programs. Integration can improve dental students' hands-on experience and program performance by providing training options anywhere and anytime.Article Citation - WoS: 1Citation - Scopus: 1Principal and Nonprincipal Solutions of Impulsive Dynamic Equations: Leighton and Wong Type Oscillation Theorems(Springer, 2023) Zafer, A.; Akgol, S. DogruPrincipal and nonprincipal solutions of differential equations play a critical role in studying the qualitative behavior of solutions in numerous related differential equations. The existence of such solutions and their applications are already documented in the literature for differential equations, difference equations, dynamic equations, and impulsive differential equations. In this paper, we make a contribution to this field by examining impulsive dynamic equations and proving the existence of such solutions for second-order impulsive dynamic equations. As an illustration, we prove the famous Leighton and Wong oscillation theorems for impulsive dynamic equations. Furthermore, we provide supporting examples to demonstrate the relevance and effectiveness of the results.Article Citation - WoS: 6Citation - Scopus: 6Does Overparenting Hurt Working Turkish Mother's Well-Being? the Influence of Family-Work Conflict and Perceived Stress in Established Adulthood(Springer/plenum Publishers, 2023) Aydin, Eren Miski; Metin-Orta, Irem; Metin-Camgoz, Selin; Aksan, NazanAlthough extant research demonstrates the negative impact of overparenting on child well-being, there remains a paucity of evidence on the effect of overparenting on the parents' own well-being. The purpose of this study is to investigate the effects of overparenting on parental well-being, and to explore the mechanisms through which overparenting influences the well-being of working mothers, particularly among established adults. Thus, we examined the serial mediation effects of perceived stress and family-to-work conflict (FWC) in overparenting and well-being linkage. With this aim, the data were collected from working mothers (N = 258) aged between 30 and 45, a period of in their lifespan generally characterized by efforts devoted to career and care. Via serial mediation analyses, the findings postulate that (a) overparenting relates to the well-being and perceived stress of working mothers, (b) perceived stress (both individually and jointly with FWC) mediates the relationship between overparenting and well-being, and (c) perceived stress and FWC serially mediate the association between overparenting and well-being. The findings provide evidence related to the well-being experiences of established adulthood women in struggling their career-and care crunch from a perspective of overparenting, stress, and family-to-work conflict.Article Citation - WoS: 5Citation - Scopus: 5Physics-Informed Neural Network for Bending Analysis of Twodimensional Functionally Graded Nano-Beams Based on Nonlocal Strain Gradient Theory(Univ Tehran, Danishgah-i Tihran, 2025) Esfahani, Saba Sadat Mirsadeghi; Fallah, Ali; Aghdam, Mohammad MohamadiThis paper presents the bending analysis of two-dimensionally functionally graded (2D FG) nano-beams using a physics-informed neural network (PINN) approach. The material properties of the nanobeams vary along their length and thickness directions, governed by a power-law function. Hamilton's principle, combined with the nonlocal strain gradient theory (NSGT) and Euler-Bernoulli beam theory, is employed to derive the governing equation for the bending analysis of 2D FG nanobeams. Due to the incorporation of size dependency and the variation of material properties in two dimensions, the governing equation becomes a high-order variable- coefficient differential equation, which is challenging, if not impossible, to solve analytically. In this study, the applicability of PINN for solving such high-order complex differential equations is investigated, with potential applications in nanomechanical engineering. In the PINN approach, a deep feedforward neural network is utilized to predict the mechanical response of the beam. Spatial coordinates serve as inputs, and a loss function is formulated based on the governing equation and boundary conditions of the problem. This loss function is minimized through the training process of the neural network. The accuracy of the PINN results is validated by comparing them with available reference solutions. Additionally, the effects of material distribution, power-law index (in both length and thickness directions), nonlocal strain gradient parameters, and material length scale parameters are investigated. This study demonstrates the versatility of the PINN approach as a robust tool for solving high-order differential equations in structural mechanics.