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Correction to: Micro-encapsulation exhibits better protection than nano-encapsulation on phenolics before and after in vitro digestion (Journal of Food Measurement and Characterization, (2024), 18, 12, (9890-9905), 10.1007/s11694-024-02927-7)
No full textThe original version of this article unfortunately contained error in co-author’s affiliation. The affiliation of author Ümit Altuntaş were incorrectly given as Department of Food Engineering, Faculty of Chemical and Metallurgical Engineering, Istanbul Technical University, Maslak, Istanbul TR-34469, Turkey but should have been Department of Food Engineering, Gümüşhane University, Gümüşhane, Turkey. The original article has been corrected. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024
Slag Substitution Effect on Features of Alkali-Free Accelerator-Reinforced Cemented Paste Backfill
No full textCemented paste backfill (CPB) improves underground stability by filling mine voids, but the high cost of cement presents economic challenges for miners. While alternative binders and admixtures have been explored, the combined impact of slag substitution and alkali-free (AF) accelerators on CPB performance is not yet fully understood. This study investigates the influences of slag substitution and AF accelerators on the performance of CPB through a comprehensive experimental approach. CPB samples were prepared with slag substitution ratios of 25%, 50%, and 75%, maintaining a fixed AF accelerator content of 0.4%. Various test techniques, including unconfined comprehensive strength (UCS), mercury intrusion porosimetry (MIP), X-ray diffraction (XRD), and thermal analysis (TG/DTA), were employed to study their mechanical and microstructural properties. Monitoring tests were also conducted to thoroughly assess the performance of CPB, including suction (self-desiccation), electrical conductivity (EC), and volumetric water content (VWC) tests. The results showed that the PCI50–SL50–0.4AF sample exhibited 2.3 times higher strength than the control sample for 28 days, with this improvement attributed to enhanced pozzolanic reactions contributing to better microstructural compactness. Monitoring tests revealed accelerated hydration kinetics and reduced water content in slag-reinforced CPB, highlighting the significant role of AF accelerator in facilitating rapid setting and improving early-age mechanical strength. Microstructural findings revealed that porosity decreased and C–S–H gel formation increased in the specimen containing slag and AF accelerators, contributing to increased strength and durability. These findings highlight the potential usage of slag and AF accelerators to enhance CPB’s mechanical, microstructural, and hydration properties, offering significant benefits for mining operations by improving backfill performance, while contributing to environmental sustainability through reduced cement consumption and associated CO2 emissions. © 2025 by the author
Enhancing mineral processing with deep learning: Automated quartz identification using thin section images
No full textThe precise identification of quartz minerals is crucial in mineralogy and geology due to their widespread occurrence and industrial significance. Traditional methods of quartz identification in thin sections are labor-intensive and require significant expertise, often complicated by the coexistence of other minerals. This study presents a novel approach leveraging deep learning techniques combined with hyperspectral imaging to automate the identification process of quartz minerals. The utilizied four advanced deep learning models—PSPNet, U-Net, FPN, and LinkNet—has significant advancements in efficiency and accuracy. Among these models, PSPNet exhibited superior performance, achieving the highest intersection over union (IoU) scores and demonstrating exceptional reliability in segmenting quartz minerals, even in complex scenarios. The study involved a comprehensive dataset of 120 thin sections, encompassing 2470 hyperspectral images prepared from 20 rock samples. Expert-reviewed masks were used for model training, ensuring robust segmentation results. This automated approach not only expedites the recognition process but also enhances reliability, providing a valuable tool for geologists and advancing the field of mineralogical analysis. © University of Science and Technology Beijing 2025
Attitude synchronization of chaotic satellites with unknown dynamics using a neural network based fixed time sliding mode controller
No full textThis study investigates the synchronization and anti-synchronization of both identical and non-identical chaotic satellite systems. A fixed-time sliding mode control framework, based on a radial basis function (RBF) neural network, has been developed to synchronize the chaotic dynamics of master–slave satellite configurations. The proposed control scheme operates under the assumption that the dynamics of the satellites are not entirely known. The proposed control method guarantees that system errors will converge to negligible levels within a fixed time. Furthermore, the controller exhibits robustness in the presence of parametric uncertainties and external disturbances. The stability of the controlled systems is rigorously validated through Lyapunov analysis, and the controller's effectiveness is confirmed through extensive simulation studies. These simulations are conducted on both identical and non-identical satellite models, with performance comparisons made against recent findings reported in the literature. © 2024 COSPA
Internet Addiction Among Turkish Adults: The Role of Motives for Internet Use
No full textThe use of the internet has become an increasingly integral part of individuals’ daily lives, bringing negative consequences such as internet addiction. Understanding the motivations behind internet use is crucial for preventing addiction and developing effective intervention strategies. The objectives of this study are to test the validity and reliability of the Questionnaire of Internet Use Motives (MUI) among Turkish adults and to investigate the predictive effects of socio-demographic variables and internet use motivations on internet addiction. The study was conducted with a sample of 640 adults selected through convenience sampling at two different time points. The majority of participants were women, highly educated, and from a middle socioeconomic background. Data were collected using a socio-demographic questionnaire, the Questionnaire of Internet Use Motives (MUI), and the Internet Addiction Test (IAT). To evaluate the structural validity of the scale, a Confirmatory Factor Analysis (CFA) was performed. Additionally, measurement invariance across genders was examined, and Hierarchical Multiple Linear Regression Analyses were conducted to identify predictors of internet addiction. CFA confirmed the structural validity of the MUI, revealing a five-factor structure with a good fit to the data. The five identified motives were enhancement, coping, social, conformity, and utility. The analyses also demonstrated that the scale possesses convergent and discriminant validity, as well as high reliability. Furthermore, the instrument exhibited measurement invariance across genders. Significant predictors of internet addiction included educational level, socioeconomic status, and the enhancement, social, coping, and conformity motives. The validated MUI provides a robust tool for assessing internet use motives in Turkish adults, offering a foundation for future research and intervention development. Addressing psychological motives such as enhancement, social, coping, and conformity in prevention and treatment strategies may reinforce efforts to mitigate problematic internet use. © The Author(s) 2025
Influence of Silver Doping and Anodization Current Density on Aluminum Surface Properties and Surface Adhesion of Staphylococcus aureus and Escherichia coli
No full textIn this study, we investigated the influence of crystal structure, topography, and elemental composition of aluminum oxide surfaces on bacterial adhesion. The structural properties of the surfaces were systematically controlled by varying the current density (1.5, 2.0, and 2.5 A/dm2) and silver doping during the anodization process. The resulting changes in structural and morphological properties were examined by using X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS), field emission scanning electron microscopy (FE-SEM), contact angle measurements, and profilometry. Using FE-SEM analysis, we evaluated the adhesion of model bacteria, Escherichia coli and Staphylococcus aureus, to surfaces exhibiting diverse morphologies and elemental compositions. The surface roughness and crystal size of the aluminum oxide increased proportionally with the applied current density and silver doping. According to the XRD results, the slip plane crystal structure of (311) increased proportionally to the current density but decreased with silver doping. Specifically, while stepped atomic alignment of (311) planes facilitates bacterial attachment, smoother (200) planes reduce the adhered bacteria population. Further analysis via XPS revealed that the oxide crystal structure of undoped surfaces shifted from the tetrahedral to octahedral form with increasing current density, while silver-doped surfaces exhibited the opposite trend. Additionally, increasing current density during the preparation of silver-doped surfaces diminished the ratio of ionic silver to metallic silver, suggesting a lowered propensity for bacterial adhesion. S. aureus adhesion to undoped surfaces increased 4.46-fold for surfaces prepared at 2.5 A/dm2 compared to that at 1.5 A/dm2. Moreover, E. coli adhesion was completely inhibited on silver-doped surfaces anodized at 1.5 A/dm2. Reducing the surface roughness and incorporating silver during the anodization of aluminum surfaces decrease the number of bacteria adhering to aluminum oxide surfaces.4014571
Taekwondo exercises for women improve quality of life, physical self-defence skills, and psychological resilience
No full textBackground: The extant research on Taekwondo has focused primarily on the physiological effects of training, with limited interest in psychological resilience, self-defence and quality of life levels. The present study examined the effects of Taekwondo exercises on psychological resilience, self-defence and quality of life levels in healthy female subjects.
Methods: The present study comprised 30 healthy, sedentary female subjects. The subjects were randomly divided into two groups: one group participated in Taekwondo training (TG), while the other group served as the control group (CG). The sample sizes for both the TG and CG groups were 15. The TT group underwent conventional Taekwondo instruction, while the CG group maintained their habitual routine and refrained from sporting pursuits. The Brief Psychological Resilience Scale, the Physical Self-Defence Scale for Women, and the SF-12 Quality of Life Scale were administered before and after the six-week training period.
Results: The 6-week Taekwondo training programme led to significant improvements in both physical health (PH) (p = 0.049) and mental health (MH) (p 0.05). It produced significant improvements in self-defence against simple physical attacks (SP) (p = 0.004) and self-defence against dangerous physical attacks (DP) (p = 0.041) scores.
Conclusion: The positive effects of Taekwondo training on psychological resilience, physical self-defence and quality of life levels have been demonstrated in healthy female subjects. This study provides valuable insights into the impact of Taekwondo exercises on psychological resilience, physical self-defence and quality of life levels. The findings of this study can guide future intervention and programme design in the context of sports psychology.4080874
Muay Thai exercises improve quality of life, love of life and self-control
No full textBackground: The existing research on Muay Thai sports has focused predominantly on the physiological effects of training, with limited attention devoted to the study of quality of life, love of life and self-control. The present study examined the effects of Muay Thai exercises on quality of life, love of life and self-control scores in healthy male subjects.
Methods: The present study comprised 50 healthy sedentary male subjects. The subjects were randomly divided into two groups: one group engaged in Muay Thai training (MTT), while the other group served as a control group (CON). The sample sizes for the MTT and CON groups were both 25. The MTT group participated in basic Muay Thai training, while the CON group continued their normal life regime. The SF-12 quality of life scale, love of life scale and multidimensional self-control scale were administered before and after the six-week training period.
Results: The study concluded that the six-week Muay Thai training program had a significant effect on quality of life levels, with 13.23% (p = 0.003) and 21.93% (p < 0.001) of participants demonstrating improvements in physical and mental scores, respectively. In terms of self-control levels, the program was found to have a significant effect on initiation and inhibition scores, with increases of 23.78% (p = 0.001) and 24.69% (p < 0.001), respectively. It was concluded that had a significant effect on the sub-dimensions of the Love of Life scale with increases of Positive Attitude Toward Life (PAWL) 18.63% (p < 0.001), Happy Results of the Love of Life (HRLL) 20.11% (p < 0.001) and Meaningfulness of Life (ML) 15.62% (p < 0.001), respectively. However, no significant differences were detected in any of the scales within the control group.
Conclusion: Muay Thai exercises had a positive effect on quality of life, love of life and self-control levels in healthy male subjects. By providing valuable insights into how Muay Thai exercise affects quality of life, love of life, and self-control, this research can guide future intervention and program design in the context of sport psychology.4048689
A Deep Learning-Based Framework for Automatic Determination of Developmental Dysplasia of the Hip from Graf Angles
No full textDevelopmental dysplasia of the hip (DDH) is a common neonatal condition that necessitates early diagnosis to ensure effective treatment. The traditional Graf method, while widely used for evaluating infant hips via ultrasound, is limited by operator dependency and measurement variability. This research has proposed a framework using deep learning network, morphological operation and local maxima method to diagnose DDH in newborns using ultrasound images. The method utilizes DeepLabv3 + for image segmentation, evaluating multiple backbone architectures (ResNet50, InceptionResNetV2, MobilenetV2, and Xception) to identify the region of interest accurately. Local maxima method was used to determine the extremum points of the line defining the Graf angles. Denoising filters, including mean, median, and Wiener, are applied to determine local maxima points accurately. The evaluation comprises two stages: first, assessing the performance of DeepLabv3 + backbones in producing masks for Graf angles determination, and second, comparing the angles obtained through proposed framework with those determined by expert radiologists. Comparative analysis demonstrates that MobileNetV2 (94.64 accuracy, 86.99 Cohen's kappa, 94.31 F-score) surpasses other models in segmentation accuracy and measurement reliability. This conclusion is backed by key performance metrics such as accuracy, IoU, PSNR, F-score, SSIM, Cohen's kappa, as well as by the intraclass correlation coefficient and Bland-Altman analyses. The proposed framework shows considerable promise in automating hip ultrasound analysis for DDH diagnosis, minimizing operator dependency while enhancing measurement consistency.4032532
[Öğretmen Adaylarının Sürdürülebilir Kalkınma ve İklim Değişikliği Farkındalıklarının İncelenmesi]
No full textThis study examines the relationship between pre-service teachers' awareness of sustainable development and global climate change, providing significant findings for educational processes. The research was conducted using a descriptive and relational model. The Global Climate Change Awareness Scale (GCCAS) and the Sustainable Development Awareness Scale (SDAS), utilized in the study, are widely referenced measurement tools in the literature and have been validated for reliability and validity in previous studies. Data were collected through an online survey from 355 pre-service teachers selected using a simple random sampling method. The research findings indicate that the mean GCCAS score of pre-service teachers is 50 (moderate level), while the mean SDAS score is 90 (moderate level). According to the correlation analysis results, a moderate, positive, and significant relationship was found between global climate change awareness and sustainable development awareness (r = 0.566, p < 0.05). The strength of this relationship highlights the impact of awareness-raising educational programs on achieving sustainable development goals. Additionally, the findings reveal that female participants have higher awareness levels than male participants, and upper-year students exhibit significantly higher awareness levels compared to lower-year students. This study underscores the importance of implementing educational practices aimed at increasing pre-service teachers’ awareness of sustainable development and climate change.However, since the research was conducted at a single university, the generalizability of the findings is limited. Future studies are recommended to be conducted in different universities and regions. Moreover, it is suggested that further research should examine the impact of practice-based educational programs on sustainable development awareness in greater depth. © 2025, Ankara University. All rights reserved