WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Permanent URI for this collectionhttps://hdl.handle.net/20.500.14517/18

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One-Year Patient Reported Outcomes and Lymphedema in Node-Positive Breast Cancer in the Prospective Multicenter Neosenti-turk/MF-18-03 Study: Is There Any Benefit of Targeted Axillary Dissection Over Sentinel Lymph Node Biopsy
(Springer, 2025) Cabioglu, Neslihan; Kilic, Halime Gul; Polat, Ayfer Kamali; Uslu, Yasemin; Kilic, Birce; Bozdogan, Atilla; Oral, Aydan
The Effect of Passive Music Listening in Addition to Conventional Physiotherapy on Pain, Anxiety, and Quality of Life in Patients with Chronic Neck Pain
(Assoc. Medica Brasileira, 2025) Torlak, Mustafa Savas; Atici, Emine; Tufekci, Osman; Karaca, Osman; Dursun, Burcu; Tunc, Elif
OBJECTIVE: The aim of this study was to investigate the effect of passive music listening in addition to conventional physiotherapy on pain, anxiety, and quality of life in patients with chronic neck pain. METHODS: The study included 40 people aged 30-50 years with chronic neck pain, who volunteered to participate in it. The participants were randomized into a control group (n=20) and a music group (n=20). Participants in the control group received a classical physiotherapy programme, 5 days a week for 4 weeks. Participants in the music group listened to music through headphones throughout the treatment. RESULTS: At the end of treatment, there was a statistical difference in the Beck Anxiety Inventory, visual analog scale, Neck Disability Index, and SF-36 physical scores in intragroup comparisons in both groups (p<0.05), When comparing the differences between the groups before and after treatment, it was found that the decrease in visual analog scale score of the participants in the music group was statistically significant compared to the decrease in visual analog scale score of the participants in the control group (p<0.01). CONCLUSION: Passive listening to music has been shown to have a positive effect on chronic neck pain when used in addition to conventional physiotherapy.
The Relation of Air Pollution on Morbidity and Mortality of Sars-Cov Infection in Tekirdag, Türkiye
(Iranian Scientific Society Medical Entomology, 2025) Varol, Gamze; Tokuc, Burcu; Celikkalp, Ulfiye; Etiler, Nilay
Background: We aimed to investigate the relation between environmental air pollutants such as Particulate Matter 10 (PM10), Particulate Matter 2.5 (PM2.5), Sulfur Dioxide (SO2) on daily cases and deaths associated with SARS-CoV-2 infection. Methods: The ecological research examined the correlations of the air quality metrics and the data of COVID-19 cases and deaths from March 1, 2020 to March 1, 2021 in the central District of Tekirda & gbreve; Province in T & uuml;rkiye. Results: During the study period, the average PM10 concentration was 32.57 +/- 17.86 mu g/m3, PM2.5 was 20.68 +/- 11.31 mu g/m3, SO2 was 11.28 +/- 13.42 mu g/m3, and NO2 was 19.07 +/- 7.26 mu g/m3. The SARS-CoV-2 case fatality rate in the study area during this period was 3.2%. Correlation analyses between air pollutants and SARS-CoV-2 cases and deaths revealed significant positive associations between SARS-CoV-2 cases (r=0.220 for PM10, P<0.001; r=0.290 for PM2.5, P<0.001; r=0.218 for SO2, P<0.001) and deaths (r=0.203 for PM10, P<0.001; r=0.289 for PM2.5, P<0.001; r=0.278 for SO2, P<0.001). Moreover, regression analysis revealed that ambient sulfur dioxide (SO2) levels significantly predicted both COVID-19 incidence and mortality. Conclusion: PM10, PM2.5, and SO2, key parameters for assessing air quality, exhibit a positive relationship with the increasing number of daily SARS-CoV-2 cases and daily deaths in the study area.
Abnormal Right Ventricular to Pulmonary Artery Coupling in Patients with End-Stage Kidney Disease and Normalization After Renal Transplantation: A Observational Study
(Karger, 2025) Cetin Guvenc, Rengin; Guvenc, Tolga Sinan; Karakaya, Ezgi Sude; Acik, Hasan; Korkmaz, Aysu; Salem, Abdul Fattah; Gurkan, Alp
Introduction: Pulmonary hypertension and right ventricular (RV) dysfunction are associated with an increase in mortality and worse prognosis in patients with end-stage kidney disease (ESKD), but pathophysiologic mechanisms underlying the progression of RV dysfunction remain incompletely understood. The present study aimed to understand right ventricular to pulmonary artery (RV-PA) coupling, which is an early indicator of transition to RV dysfunction, to better characterize adaptive RV response to increased afterload in ESKD patients and changes in RV-PA coupling following renal transplantation. Methods: One hundred eleven patients with ESKD, including 49 patients scheduled for renal transplantation, underwent a detailed echocardiographic examination and measurement of tricuspid annular plane excursion to pulmonary artery systolic pressure (TAPSE/PASP) ratio, and a repeat examination was performed 6 months after the baseline examination. Results: Patients with ESKD had significantly lower TAPSE/PASP ratio at baseline (1.02 [0.71-1.63] vs. 1.29 [1.09-1.96], p < 0.001). In 40 patients that underwent transplantation, TAPSE/PASP ratio increased significantly from (0.97 [0.72-1.42] to 1.30 [1.01-1.82], p = 0.03), while in 27 patients remained on dialysis, there was a nonsignificant reduction in TAPSE/PASP ratio (1.21 [0.71-1.62] vs. 0.84 [0.61-1.38], p = 0.44). The change in TAPSE/PASP ratio correlated significantly with the change in pulmonary vascular resistance (OR: 0.61, 95% CI: 0.51-0.72, p < 0.001) and left ventricular mass index (OR: 0.97, 95% CI: 0.96-0.99, p = 0.001) after adjustment. Conclusions: Patients with ESKD had abnormal RV-PA coupling, as indicated by a reduced TAPSE/PASP ratio, which normalizes 6 months after renal transplantation.
A Novel Radial Basis Neural Network Process for the Numerical Solutions of the Anthrax Disease Model
(Springer Wien, 2025) Sabir, Zulqurnain; Halabi, Nazek El; Rizk, Mike; Kadri, Issa; Umar, Muhammad; Salahshour, Soheil
The goal of this conducted study is to provide the arithmetical performances through the stochastic computing procedure for the anthrax disease in animals (ADiA) model, which splits the populations between vaccinated, infected, susceptible, and recovered. A specific type of neural network, which is the novel radial basis is exploited by the radial basis and twenty-two neurons in the neural network's hidden layer along with the optimization of Levenberg-Marquardt Backpropagation for solving the ADiA model. An Adam solver is generated to get the dataset and minimize the mean square error by dividing the data into testing as 14%, training as 75%, and corroboration as 11%. The exactness of the proposed solver is performed by using the overlapping of the outputs and an absolute error calculated as small. The test performance-based regression, state transition and error histogram also improve the dependability of the designed solver.
Precise Forecasting of Shear Stress, Viscosity, and Density for an Aqueous CuO/CaCO3 Ternary Hybrid Nanofluid Utilizing the Artificial Neural Network
(Nature Portfolio, 2025) Jin, Yi; Basem, Ali; Al-Nussairi, Ahmed Kateb Jumaah; Kareem, Muthanna K.; Hasanabad, Alimohammadi; Li, Zhenghui; Salahshour, Soheil
The accurate prediction of thermophysical properties in hybrid nanofluids is crucial for enhancing the efficiency of advanced heat transfer and energy conversion systems. Most published research has largely concentrated on single- or binary-nanoparticle systems, and ternary hybrid systems are still poorly understood in terms of interactions. The present study, however, developed two-layer feedforward artificial neural networks to predict shear stress, viscosity, and density for a water-based nanofluid containing copper oxide, calcium carbonate, and silicon dioxide in volume ratios of 60, 30, and 10%, respectively. Training and validation of the networks were based on experimental data collected at temperatures ranging from 25 to 70 degrees C and nanoparticle volume fractions ranging from 0.5 to 3%. That model achieved outstanding predictive performance, with average root-mean-square errors (evaluated via K-fold cross-validation) of 0.0008 Pa for shear stress, 0.0097 mPa s for viscosity, and 0.0003 g/cm(3) for density. Minimum mean squared errors were 1.63 x 10(-)(6), 3.11 x 10(-)(5), and 4.03 x 10(-)(5), respectively, with correlation coefficients over 0.999 across all data sets. The calculated maximum relative errors were 0.71% for shear stress, 1.34% for viscosity, and 0.06% for density, which endorse the reliability and precision of the produced model. Further sensitivity analysis demonstrated that temperature dominance over shear stress and viscosity, although nanoparticle concentration exerted a significantly stronger impact on density. The proposed framework served as an accurate, data-driven tool for modeling ternary hybrid nanofluids, providing practical insights into their optimized formulations for high-performance thermal management applications.
Hybrid Fourier Series and Weighted Residual Function Method for Caputo-Type Fractional PDEs With Variable Coefficients
(MDPI, 2025) Kheybari, Samad; Alizadeh, Farzaneh; Darvishi, Mohammad Taghi; Hosseini, Kamyar
This study presents a novel computational framework for approximating solutions to time-fractional partial differential equations (TFPDEs) with variable coefficients, employing the Caputo definition of fractional derivatives. TFPDEs, distinguished by their fractional-order time derivatives, inherently capture the non-local and memory-dependent dynamics observed in a wide range of physical and engineering systems. The proposed method reformulates the TFPDE into a set of decoupled fractional-order ordinary differential equations (FODEs) via Fourier expansion strategy. This decomposition facilitates analytical tractability while preserving the essential features of the original system. The initial conditions of each resulting FODE are systematically obtained from the governing equation's initial data. Auxiliary initial value problems are formulated for each FODE to facilitate the construction of explicit particular solutions. These solutions are then synthesized through a carefully designed linear superposition, optimized to minimize the residual error across the domain of interest. This residual minimization ensures that the composite solution closely approximates the behavior of the original TFPDE, offering both accuracy and computational efficiency. Theoretical analysis demonstrates that the method is convergent. A FLOP-based analysis confirms that the proposed method is computationally efficient. The validity and effectiveness of the proposed scheme are demonstrated through a set of benchmark problems. Empirical convergence rates are compared with those from existing numerical methods in each case. The findings confirm that the proposed approach consistently achieves superior accuracy and demonstrates robust performance under a wide range of scenarios. These findings highlight the method's potential as a powerful and versatile tool for solving complex TFPDEs in mathematical modeling and applied sciences.
Intuitive Eating, Maternal Attachment, and Weight Status in Postpartum Women: A Cross-Sectional Study
(BMC, 2025) Ayvaz, Begum Ciler; Akin, Pelin; Ede Ileri, Gozde
Background The postpartum period is characterized by significant changes in eating behaviors, emotional regulation and body weight. Intuitive eating and maternal attachment may play a key role in regulating women's weight status during early postpartum. Methods This cross-sectional study was conducted between February and May 2022 in Turkey, involving 264 healthy postpartum women (1-4 months) aged 18-40 years. Sociodemographic information, dietary habits, and anthropometric measurements were collected. Intuitive Eating Scale-2 (IES-2) and Maternal Attachment Scale (MAS) was administered. We classified BMI levels below 25 as "lower BMI"" and above 25 as "higher BMI". Results Of the participants, 45.8% reported eating intuitively. Body mass index (BMI) was significantly higher in those with low levels of intuitive eating behaviour (p = < 0.001). A positive correlation was found between maternal attachment and intuitive eating (r = 0.129, p = 0.037). Higher intuitive eating was associated with lower BMI (beta = -0.269, p = < 0.001). Skipping meals and night eating were associated with lower intuitive eating (p = 0.023). In logistic regression analysis, low intuitive eating (< 3.4 points) was associated with a high BMI during the early postpartum (OR = 2.63; 95% CI 1.57-4.40, p = < 0.001). Conclusions Intuitive eating behaviour is positively associated with maternal attachment. However, higher intuitive eating is associated with lower BMI levels, night eating, and skipping meals. The results suggest that public health counselling promoting intuitive eating may be beneficial for early postpartum women who are at risk of excessive weight gain.
Hybrid Analytical-Numerical Investigation of the Bratu Equation With Emphasis on Convergence
(World Scientific Publ Co Pte Ltd, 2025) Alizadeh, Farzaneh; Darvishi, Mohammad Taghi; Kheybari, Samad; Hosseini, Kamyar; Almutairi, Hanan
This study presents a comprehensive investigation of the Bratu equation, a nonlinear boundary value problem with significant applications in combustion theory, chemical reactor modeling, and thermal self-ignition phenomena. Characterized by its exponential nonlinearity and bifurcation behavior, the Bratu equation is analyzed using both exact and approximate methodologies. Lie symmetry analysis is utilized to obtain exact analytical solutions and to reveal the structural and invariant characteristics of the equation. In parallel, a semi-analytical framework is developed, wherein a set of auxiliary differential equations is constructed, and their linear combination is optimized via the weighted residual method to yield approximate solutions. The convergence behavior of the proposed method is thoroughly investigated and confirmed for diverse values of the nonlinear coefficient lambda . Additionally, MATLAB's built-in boundary value problem solvers are employed to compute numerical solutions, serving as benchmarks for validating the analytical and semi-analytical findings. The study identifies the critical bifurcation parameter lambda c and offers detailed insights into the qualitative behavior and multiplicity of solutions. The findings contribute to a deeper understanding of the Bratu equation's solution landscape and its sensitivity to nonlinear parameters.
The Impact of Diet and Oral Hygiene on Dental Caries Among Turkish Children: A Cross-Sectional Study
(Public Library Science, 2025) Yesildemir, Ozge; Ozay Sekendiz, Melisa; Agagunduz, Duygu; Budan, Ferenc
Background Dental caries remains one of the most prevalent chronic conditions affecting children worldwide, yet they are largely preventable through modifiable factors such as diet and oral hygiene. This study aimed to examine the associations between dietary intake, oral hygiene practices, anthropometric measurements, and dental caries in children. Methods This cross-sectional study was conducted in Bursa, T & uuml;rkiye, between 1 October 2023 and 20 February 2024 with 210 children aged 5-12 years. Data was collected through a structured questionnaire on sociodemographic factors, oral hygiene, and a food frequency questionnaire related to dental health. Body weight and height were measured, and dental examinations were performed by a trained dentist using DMFT/dmft indices. Results Mean DMFT and dmft scores were 0.9 +/- 1.3 and 3.9 +/- 2.8, respectively. Children who brushed their teeth had significantly lower caries scores (p < 0.001); brushing twice daily was associated with lower dmft scores (p < 0.001). Caries scores did not differ significantly by body mass index (p > 0.05). Higher DMFT scores were associated with citrus fruits (beta = 0.322, p < 0.001), white bread (beta = 0.423, p < 0.001), and fruit juice (beta = 0.050, p < 0.05) consumption. Higher dmft scores were linked to chocolate (beta = 0.286), biscuits, cookies, and cakes (beta = 0.448), chips (beta = 0.179), and carbonated soft drinks (beta = 0.789) (p < 0.001). Conclusions These results highlight the importance of promoting healthy eating and proper oral hygiene to prevent childhood dental caries and suggest that early oral health status may have broader implications for long-term systemic health, warranting further longitudinal investigation.
Cross-Cultural Adaptation and Psychometric Validation of the Turkish Version of the American Orthopaedic Foot and Ankle Society Lesser Metatarsophalangeal-Interphalangeal Joint Scale
(Galenos Publ House, 2025) Koluman, Ali Can; Ciftci, Ebru Aloglu; Ciftci, Mehmet Utku; Sahbaz, Yasemin; Ozturk, Vedat; Duramaz, Altug; Ziroglu, Nezih
Objective: Lesser toe disorders can cause significant functional impairment and pain, requiring reliable tools for outcome assessment. The American Orthopaedic Foot and Ankle Society (AOFAS) lesser metatarsophalangeal-interphalangeal (MTP-IP) joint scale is a clinician-based instrument frequently used in foot and ankle evaluations, yet no validated Turkish version exists. The aim of this study was to translate, culturally adapt, and evaluate the psychometric properties of the Turkish version of the AOFAS lesser MTP-IP scale. Methods: The scale was translated following international cross-cultural adaptation guidelines. A total of 43 patients with various lesser-toe pathologies were assessed using the AOFAS lesser MTP-IP, foot and ankle ability measure (FAAM), visual analogue scale, and short form-12 (SF-12). Test-retest reliability was assessed by calculating intraclass correlation coefficients [ICC (2,1)] using a two-way mixed-effects model with absolute agreement; by assessing internal consistency via Cronbach's alpha; and by evaluating agreement using Bland-Altman analysis. Construct validity was tested by correlating AOFAS scores with FAAM and SF-12 subscales. Floor and ceiling effects were also analyzed. Results: The Turkish version demonstrated excellent test-retest reliability [ICC (2,1)=0.96] and acceptable internal consistency (alpha=0.76). Bland-Altman plots revealed no systematic bias. Strong correlations were observed with FAAM-activities of daily living (r=0.93) and FAAM-sports (r=0.75), whereas correlations with SF-12 physical component summary (r=0.34) and MCS (r=0.45) were weak but significant, which is consistent with the hypothesized convergent and divergent validity. A notable ceiling effect was identified in the AOFAS function and alignment domains, consistent with the high functional status and low pain levels reported by participants. Conclusion: The Turkish adaptation ofthe AOFAS lesser MTP-IP scale is a reliable and valid instrumentfor evaluating pain, function, and alignment in patients with lesser toe disorders. Its strong psychometric performance supports its use in both clinical and research settings, although the observed ceiling effect should be interpreted in the context of patient characteristics.
Modeling Mode Choice Preferences of E-Scooter Users Using Machine Learning Methods-Case of Istanbul
(MDPI, 2025) Dundar, Selim; Alp, Sina
Delays caused by motor vehicle traffic, accidents, and environmental pollution present considerable challenges to sustainable urban mobility. To address these issues, transportation system users are encouraged to adopt active transportation methods, micromobility options, and public transit. Electric scooters have become a notably popular micromobility choice, especially following the emergence of vehicle-sharing companies in 2018, a trend that gained further momentum during the COVID-19 pandemic. This study explored the demographic characteristics, attitudes, and behaviors of e-scooter users in Istanbul through an online survey conducted from 1 September 2023 to 1 May 2024. A total of 462 e-scooter users participated, providing valuable insights into their preferred modes of transportation across 24 different scenarios specifically designed for this research. The responses were analyzed using various machine learning techniques, including Artificial Neural Networks, Decision Trees, Random Forest, and Gradient Boosting methods. Among the models developed, the Decision Tree model exhibited the highest overall performance, demonstrating strong accuracy and predictive capabilities across all classifications. Notably, all models significantly surpassed the accuracy of discrete choice models reported in existing literature, underscoring the effectiveness of machine learning approaches in modeling transportation mode choices. The models created in this study can serve various purposes for researchers, central and local authorities, as well as e-scooter service providers, supporting their strategic and operational decision-making processes. Future research could explore different machine learning methodologies to create a model that more accurately reflects individual preferences across diverse urban environments. These models can assist in developing sustainable mobility policies and reducing the environmental footprint of urban transportation systems.
The Relationship Between Physical Performance with Dual-Task Performance in Geriatric Individuals
(Galenos Publ House, 2025) Akis, Merve; Atici, Emine; Balkisli, Berna Cagla
Objective: Maintaining functional independence in older adults requires an intricate balance between physical and cognitive abilities. While physical performance is known to support overall health, its relationship with dual-task performance-an essential component of daily life activities-remains a critical area of investigation. This study aimed to investigate the association between physical performance and dual-task performance and to compare the effects of different levels of physical performance on dual-task execution in geriatric individuals. Materials and Methods: A total of 79 geriatric individuals (mean age=68.68 +/- 4.42) were included in the study. Their physical performances were evaluated through the Alusti test, Timed Up and Go test (TUGT), 30-Second Sit-to-Stand test (30s STST) and 10-meter Walk test. Dual-task performance measurements were assessed using the TUGT, 30s STST and 10-meter Walk test (using motor and cognitive task) and the dual-task questionnaire. Results: There was a low correlation between the Alusti test and Dual-task scale (r=-0.222; p=0.048), while a moderate-level correlation between TUGT (r=0.339; p=0.001), 30s STST (r=-0.336; p=0.002), and the 10-meter Walk test (r=0.365; p=0.001). When individuals were divided into two groups based on Alusti test scores (good mobility and very good mobility), the mean of 30s STST motor and-cognitive tasks were statistically significantly higher in the very good mobility group compared to good mobility (p=0.026, p=0.005; respectively). Conclusion: The findings suggest that dual-task performance is closely linked to physical function in older adults, with higher physical performance associated with improved dual-task execution. Given the increasing importance of maintaining cognitive-motor abilities for aging populations, targeted physical activity interventions may help mitigate declines in dual-task performance, ultimately promoting safer mobility and greater independence in daily life. Future research should further explore the mechanisms underlying these interactions to develop effective strategies for cognitive-motor preservation in geriatric care.
Rheb1 Signaling and the Fate of Pancreatic Β Cells: Toward a New Frontier in Diabetes Therapy
(Baishideng Publishing Group Inc, 2025) Karimkhani, Hadi
A recent study in the World Journal of Diabetes by Yang et al explored how Rheb1 signaling influenced pancreatic beta cell fate and its potential as a therapeutic target. This invited commentary by a senior diabetes researcher discussed the findings of Yang et al in the context of current knowledge on beta cell biology, providing critical insight into the role of Rheb1 in beta cell survival and function and the prospects for diabetes treatment. Key outcomes of the study were interpreted alongside established literature on Rheb1- mechanistic target of rapamycin signaling in islet cells. Rheb1 emerges as a pivotal regulator of beta cell growth and insulin secretory function, aligning with evidence that beta cell-specific Rheb1 deletion impairs beta cell mass and glucose-stimulated insulin secretion. The commentary highlighted how modulating this pathway could preserve or restore the beta cell population in diabetes while cautioning about potential off-target effects (e.g. in alpha cells). Targeting Rheb1 signaling represents a promising new frontier in diabetes therapy to enhance beta cell resilience; however, a balanced approach addressing both its benefits and risks is essential. This letter discussed the scientific implications and future research directions needed to translate Rheb1 modulation into clinical application for diabetes.
Association of Tonsillolith Characteristics With Periodontal Bone Loss and Dental Pathologies: A Retrospective Study Based on Cone-Beam Computed Tomography
(Nature Portfolio, 2025) Ustaoglu, Gulbahar; Bulut, Duygu Goller; Aydin, Banu
Tonsilloliths are frequently detected as incidental findings, and their microbial similarity to periodontal biofilms suggests potential clinical significance, although robust CBCT-based evidence supporting this association has been limited. This retrospective study evaluated the association between the presence, size, and number of tonsilloliths detected on cone-beam computed tomography (CBCT) images and periodontal bone loss, furcation involvement, and other dental pathologies. CBCT scans of 342 systemically healthy patients obtained between November 2020 and October 2024 were retrospectively evaluated. Participants were divided into two equal groups (n = 171) according to the presence of tonsilloliths, and each scan was assessed for tonsillolith characteristics and dental findings. Periodontal bone loss was determined from cementoenamel junction-alveolar crest distances and categorized into three severity levels. Tonsilloliths were most frequently located on the right side or bilaterally, with a mean size of 3.98 +/- 1.78 mm. The tonsillolith group had a significantly higher mean number of missing teeth (p = 0.040), while no significant differences were noted for decayed, restored teeth, or apical periodontitis. Bone loss between 1/3 and 2/3 of the optimal bone height and bone loss more than 2/3 of the optimal bone height were more prevalent in the tonsillolith group (p < 0.001). Tonsillolith size positively correlated with bone loss severity (rho = 0.274, p < 0.001), and larger tonsilloliths were significantly associated with furcation defects (p < 0.001). Tonsillolith presence and size may be linked to advanced periodontal bone loss and tooth loss, highlighting the potential role of CBCT in interdisciplinary periodontal assessment.
Gemini 1.5 Flash Provides the Most Reliable Content While ChatGPT-4o Offers the Highest Readability for Patient Education on Meniscal Tears
(Wiley, 2025) Cakmur, Basar Burak; Koluman, Ali Can; Ciftci, Mehmet Utku; Ciftci, Ebru Aloglu; Ziroglu, Nezih
Purpose The aim of this study was to comparatively evaluate the responses generated by three advanced artificial intelligence (AI) models, ChatGPT-4o (OpenAI), Gemini 1.5 Flash (Google) and DeepSeek-V3, to frequently asked patient questions about meniscal tears in terms of reliability, usefulness, quality, and readability. Methods Responses from three AI chatbots, ChatGPT-4o (OpenAI), Gemini 1.5 Flash (Google) and DeepSeek-V3 (DeepSeek AI), were evaluated for 20 common patient questions regarding meniscal tears. Three orthopaedic specialists independently scored reliability and usefulness on 7-point Likert scales and overall response quality using the 5-point Global Quality Scale. Readability was analysed with six established indices. Inter-rater agreement was examined with intraclass correlation coefficients (ICCs) and Fleiss' Kappa, while between-model differences were tested using Kruskal-Wallis and ANOVA with Bonferroni adjustment. Results Gemini 1.5 Flash achieved the highest reliability, significantly outperforming both GPT-4o and DeepSeek-V3 (p = 0.001). While usefulness scores were broadly similar, Gemini was superior to DeepSeek-V3 (p = 0.045). Global Quality Scale scores did not differ significantly among models. In contrast, GPT-4o consistently provided the most readable content (p < 0.001). Inter-rater reliability was excellent across all evaluation domains (ICC > 0.9). Conclusion All three AI models generated high-quality educational content regarding meniscal tears. Gemini 1.5 Flash demonstrated the highest reliability and usefulness, while GPT-4o provided significantly more readable responses. These findings highlight the trade-off between reliability and readability in AI-generated patient education materials and emphasise the importance of physician oversight to ensure safe, evidence-based integration of these tools into clinical practice.
White-Collar Employees' Expectations From Human Resources Department in the Digital Era
(Sage Publications Inc, 2025) Ozturk, Dogukan; Yagiz, F. Nazli Saygan
Background In today's digital era, understanding the expectations of white-collar employees from the HR department during the digitalization process significantly impacts the digital transformation of businesses.Objective This study examines white-collar employees' expectations from the HR department in the digitalization process.Methods In this study, qualitative research methods were utilized and three focus group interviews were conducted with 20 white-collar employees of the same company. The data was analyzed by thematic analysis using MAXQDA 2018 qualitative data analysis program.Results White-collar employees' expectations were divided into five main themes: providing training on technology use, updating recruitment criteria, preparing the company for digitalization, encouraging technology use, and determining the appropriateness of technology.Conclusions This study can lead the HR department to learn the expectations of white-collar employees in the digitalization process and accelerate the digitalization process by taking on new roles.
Higher-Order Nonlinear Schrödinger Equation: Conservation Laws, Soliton Dynamics, and Bifurcation Analysis
(World Scientific Publ Co Pte Ltd, 2025) Latif, Ismat; Arshad, Muhammad; Ahmed, Iftikhar; Hosseini, Kamyar; Basheer, Kashifa
The higher-order nonlinear Schr & ouml;dinger equation (h-oNLSE) with cubic-quintic nonlinearity governs the propagation of ultrashort optical pulses in nonlinear fiber systems and plasma environments, where higher-order dispersive and nonlinear perturbations crucially affect pulse stability and shape. Despite extensive studies, the interplay of cubic-quintic nonlinearities with higher-order effects remains insufficiently characterized. In this work, we develop a generalized analytical framework based on a Modified Sardar Sub-Equation Method (mSSEM) to construct new classes of exact solutions to the higher-order cubic-quintic NLSE. This approach systematically uncovers diverse nonlinear waveforms, including previously inaccessible bright and dark solitons, periodic states, and singular structures. Importantly, our results reveal how higher-order dispersion and nonlinear contributions reshape amplitude-phase coupling and stability regimes, offering predictive insights into ultrafast pulse dynamics. By bridging analytical theory with experimentally relevant scenarios in optics and plasma physics, these findings extend the fundamental solution landscape of the cubic-quintic NLSE and establish a versatile methodology applicable across nonlinear evolution equations in applied mathematics and wave science. For the (h-oNLSE) with cubic-quintic nonlinearity, the associated conservation laws have been identified. The analysis confirms the presence of three fundamental conserved quantities corresponding to the bright soliton solutions of the equation. The essential features and physical significance of the conservation laws are discussed, highlighting their role in ensuring the stability and persistence of soliton structures in nonlinear optical media.
A Randomized Controlled Trial of Internet-Based Cognitive Behavioral Therapy (ICBT) and EMDR-Flash Technique (IEMDR-FT) for Improving Mental Health in Breast Cancer Patients
(Springer, 2025) Savas, Esra; Gundogmus, Ibrahim; Kinik, Cigdem; Kubilay, Derin; Kavakci, Onder; Yasar, Alisan Burak
This study aims to compare the effectiveness of internet-based Cognitive Behavioral Therapy (iCBT) and internet-based Eye Movement Desensitization and Reprocessing (EMDR) Flash Technique (iEMDR-FT) in reducing fear of cancer recurrence, traumatic stress, anxiety, depression, and increasing the quality of life among patients diagnosed with breast cancer. A randomized controlled trial was conducted with a sample of patients, equally divided into two treatment groups. The iCBT program was administered over 7 weeks, while the iEMDR-FT was delivered in three sessions in three days. The participants were given a sociodemographic data form, Posttraumatic Stress Disorder Control List DSM-5 (PCL-5), Fear of Cancer Recurrence Scale, Depression-Anxiety-Stress 21 scale (DASS-21), and World Health Organization Quality of Life Scale Short Form. Participants were assessed before, immediately after, and three months post-intervention. The mean age of the participants was 43.79 (7.45) years. In comparing the two groups, a statistical difference was found only in the age variable (p = 0.025). As a result, there was no significant difference between the two groups when sociodemographic and cancer-related ratings were compared (p > 0.05). It was determined that the change in iEMDR-FT scores in all scales was not statistically significantly different compared to the iCBT group (p > 0.05). Initial analysis indicates that both iCBT and iEMDR-FT resulted in notable decreases in traumatic stress, fear of cancer recurrence, anxiety, and depression among breast cancer patients. However, this therapeutic improvement is similar in both applications. This result supports the argument that two methods with similar effectiveness can be used as alternatives to each other in treatment.
Mxenes in Diabetes: Diagnostic and Therapeutic Applications
(Royal Society Chemistry, 2025) Samadzadeh, Meisam; Danesh, Mahshid; Zarepour, Atefeh; Khosravi, Arezoo; Zarrabi, Ali; Iravani, Siavash
This review highlights the promising role of MXenes and their composites in diabetes management, emphasizing their dual utility in diagnostics and therapeutics. MXenes' exceptional electrical conductivity, hydrophilicity, mechanical robustness, and tunable surface chemistry facilitate the design of sensitive and selective biosensors for real-time and non-invasive monitoring of key diabetes biomarkers like glucose and acetone. Therapeutically, MXene-based materials enhance healing of diabetic complications such as foot ulcers by modulating inflammation, scavenging reactive oxygen species, promoting angiogenesis, and supporting tissue regeneration via multifunctional hydrogels, patches, and scaffolds. Despite these advances, challenges remain including environmentally harmful synthesis methods, limited scalability, oxidation-induced instability under physiological conditions, and insufficient biocompatibility data. Future efforts are directed toward developing greener and scalable synthesis routes, improving MXene stability through surface modifications, and integrating MXenes with cutting-edge technologies such as wearable devices, 3D bioprinting, and bioelectronics. Additionally, the review uniquely explores the incorporation of artificial intelligence and machine learning techniques to enable personalized and adaptive diabetes management. By providing a comprehensive synthesis of recent developments, current limitations, and innovative future directions, this review offers novel insights aimed at accelerating the clinical translation of MXene-based platforms to significantly enhance diabetes diagnosis and treatment.

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