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Effect of basic parameters defining principal soil-structure interaction on seismic control of structures equipped with optimum tuned mass damper
No full textOne of the most effective systems for reducing dynamic responses of the structures subjected to earthquake excitations is tuned mass dampers (TMDs). In the traditional design theory of TMDs, the structures are assumed to be rigidly connected to the ground. Using this approach, known as the fixed foundation approach, may lead to deterioration of the performance of the TMD in cases where soil-structure interaction (SSI) is significant. Therefore, it is crucial to consider the SSI effects to obtain the optimum parameters of the TMDs. Unlike previous studies, two key parameters (i.e., structure-to-soil stiffness ratio and aspect ratio of the structure) are considered, which define the principal SSI effects on the effectiveness of TMD. For the aspect ratio of the structure, three different values (i.e., λ = 1, 2, and 4) are considered, these values correspond to the squat, ordinary, and slender structures representing traditional buildings, respectively. Four different values (i.e., a0 = 0, 0.5, 1, and 2) are also considered for the structure-soil stiffness ratio. This ratio being equal to 0 corresponds to the fixed foundation approach. This also demonstrates that the structure is constructed on hard rock. The optimum parameters of the TMD are obtained using the Jaya algorithm (JA). The proposed methodology is applied to three different buildings (i.e., 3-story, 6-story, and 12-story), and the optimum parameters of the TMD are verified using a total of 72 ground motions corresponding to NEHRP site classes C, D, and E. Numerical results show that the effectiveness of TMD is significantly affected by the basic parameters that define the principal SSI. In addition, the efficiency of the TMD is significantly related to the characteristics of the ground motions. It has been observed that TMD does not perform adequately in reducing vibrations in low-rise buildings (i.e., λ = 1) constructed on low-stiffness soils (i.e., a0 = 2). © 2024 Elsevier Lt
Sentiment analysis in employee experience using natural language processing and machine learning
No full textThis chapter focuses on the use of sentiment analysis in the handling of employee experience. When organisations start thinking about the experience of their employees as a factor that influences performance and turnover, sentiment analysis provides a quantitative way of measuring emotions, satisfaction and engagement of employees. This chapter attentions on several NLP techniques that can be employed in the analysis of the employee feedback which include tokenization, stop- word removal and vectorization. It also looks at how other machine learning models such as Naive Bayes, Support Vector Machines, and Long Short- Term Memory can be used to categorize emotions as positive, negative, or neutral. In addition, the problem of language, culture, and data bias is described, and the ways to solve them are also described. The future potential of the real- time emotion analysis and the use of sentiment data along with the organizational KPIs for improving the management of employees' experience is depicted. © 2025, IGI Global Scientific Publishing. All rights reserved
How does loneliness affect satisfaction with life? What is the role of the perception of God in this interaction?
No full textIntroduction: This study examined the role of loneliness and the perception of God in affecting the satisfaction with life of Muslim individuals living alone in Turkey during the COVID-19 pandemic. Additionally, the study explored the regulatory role of the perception of God in the relationship between individuals' loneliness and satisfaction with life.
Methods: The research is a cross-sectional study that evaluates individuals' loneliness, satisfaction with life, and perception of God. The study group consists of 378 individuals living alone in Turkey. Among the participants, 196 are women (51.9%) and 182 are men (48.1%). The UCLA loneliness scale, the satisfaction with life scale, the perception of God scale, and a personal information form were used as data collection tools in the study.
Results: The examination of research findings indicated that the variables of loneliness, perception of God, and the interaction between loneliness and the perception of God explained 28% of the variance in individuals' satisfaction with life. We determined that satisfaction with life was affected significantly and positively by the perception of God (β = 0.28, p < 0.001) and significantly and negatively by loneliness (β = -0.38, p < 0.001). The interactional effect of the variables of loneliness and perception of God on satisfaction with life was also found to be significant (β = -0.10, p = 0.023). When we examined the details of the regulatory effect, we found that the effect of loneliness on satisfaction with life decreased even more in cases where the perception of God was high.
Discussion: The research findings suggest that loneliness decreases life satisfaction, while positive self-image mitigates this effect. It can be stated that using belief-sensitive therapeutic approaches in the therapeutic process could contribute to alleviating the negative effects of loneliness.4003494
Could GSTP1, PTEN and NKX3.1 gene expression be novel markers in the relationship between prostate cancer and epigenetics?
No full textBackground: Although numerous treatment modalities exist for Prostate Cancer (PCa) with a complex pathophysiology, a significant worldwide health concern for males, early identification remains the paramount factor influencing disease prognosis. Proposed new biomarkers, including GSTP1, PTEN, and NKX3.1, may provide predictive and prognostic functions, hence enhancing the efficacy of PSA in diagnosing prostate cancer. Epigenetic variables associated with nutrition influence the blood gene expression levels of the new biomarkers GSTP1, PTEN, and NKX3.1. This study aimed to elucidate the correlation between nutrition-related epigenetic variables and the expression of the tumor suppressor genes GSTP1, PTEN, and NKX3.1 in benign prostate and prostate cancer patients. Methods: This study was conducted with 41 newly diagnosed prostate cancer and 42 benign prostate patients, all aged 40 years and older. Participants had specific anthropometric measurements taken, and seven-day food records were kept. Serum levels of novel biochemical markers GSTP1, PTEN, and NKX3.1 were measured using an Enzyme-Linked Immunosorbent Assay (ELISA) method. Expression analyses of tumor-protective GSTP1, PTEN, and NKX3.1 genes were performed on prostate tissues obtained from fresh prostate biopsies taken from the groups and were associated with nutritional status. Results: A significant relationship was found between the serum levels of GSTP1, PTEN, and NKX3.1, which are important in the formation and treatment of prostate cancer, and Gleason grade, tumor stage, and surgical margin status (p < 0.05). However, significant relationships were found between many macro and micronutrients obtained from the dietary pattern and effective in epigenetic pathways and GSTP1, PTEN, and NKX3.1 gene expressions (p < 0.05). Conclusions: The findings of this investigation corroborated the notion that prospective novel markers, including GSTP1, PTEN, and NKX3.1, may serve predictive and prognostic functions in prostate cancer, hence enhancing the efficacy of PSA in its diagnosis. Dietary trends may influence the optimization of many epigenetic processes. Targeted therapeutic nutritional interventions designed to enhance gene expression will facilitate the formulation of prostate cancer prevention methods. © The Author(s) 2025.2-s2.0-1050232046174129932
Could Different Doses of Dexmedetomidine Be as Effective as Amifostine Against Radiotherapy-Induced Liver Injury in Rats? Evidence from Mitotic, Apoptotic, Oxidative, and Neurogenic Insights
No full textBackground/Objectives: Radiotherapy (RT) induces oxidative stress and structural damage in solid tissues, including the liver. This study aimed to investigate the histological and immunohistochemical effects of dexmedetomidine (DEX) and amifostine on their potential protective and regenerative properties against liver injury induced by radiation therapy. Methods: This study consisted of five randomized groups: control, RT, RT-D100, RT-D200, and RT-A (Amifostine). A total of 100 µg/kg DEX, 200 µg/kg DEX, and 200 µg/kg amifostine were administered before radiotherapy as per the experimental design. After RT, liver specimens were analyzed for histological alterations, including periportal and perisinusoidal fibrosis, vacuolization, and pyknotic nuclei. Furthermore, immunohistochemistry investigations were conducted to evaluate apoptosis, mitosis, oxidative stress, and neural regeneration in non-neuronal liver tissue following radiotherapy and subsequent treatment. Results: The control group’s liver tissue exhibited standard histological architecture, whereas the RT group displayed severe cellular degeneration, periportal and perisinusoidal fibrosis, cytoplasmic vacuolization, and an increase in pyknotic nuclei. The apoptotic index was markedly reduced in the RT-D100 and RT-D200 groups relative to the RT group. Furthermore, caspase-3 immunoactivity was negligible in the control group, while a significant increase was observed in the RT group. The administration of amifostine significantly increased GAP-43 levels. Conclusions: DEX mitigates RT-induced hepatic injury chiefly through antioxidant and anti-apoptotic pathways, whereas amifostine promotes hepatic regeneration by modulating GAP-43. © 2025 by the authors.2-s2.0-10502305072
Gray Divorce in the Shadow of Modernization: Changing Family Dynamics in Türkiye
No full textGray divorce, defined as the dissolution of marriages among individuals aged 50 and above, has become an increasingly significant issue in Türkiye. Official statistics in Türkiye show that between 2001 and 2024, divorces among individuals aged 50 and above increased both in absolute numbers and as a proportion of total divorces, rising nearly threefold during this period. These increases reflect broader demographic and social changes, such as population ageing, longer life expectancy, changing expectations of marriage, and shifting gender norms. Using sociological literature on modernization and family change, as well as official statistical data, this review synthesises existing knowledge and situates gray divorce within global debates on family transformation. Findings from gray divorce studies indicate that women’s increasing autonomy, life cycle transitions such as retirement or empty nest experiences, and greater societal acceptance of divorce contribute to this trend. Furthermore, gray divorces have broad implications for intergenerational relationships, care responsibilities, and social policies. Specifically in Türkiye, regional differences show that divorce among the elderly is more prevalent in western urbanized provinces, where individualism and secular values prevail, and significantly less common in eastern regions, where traditional and religious norms are stronger. The increasing prevalence of this phenomenon highlights the need for more empirical research and policy responses that are appropriate to Türkiye’s demographic, regional, and cultural transformations. © 2025 by the authors.2-s2.0-10501995939
Algebraic and topological foundations of non-Newtonian analysis via generator functions
No full textIn this paper we explored the algebraic and topological underpinnings of non-Newtonian analysis through the framework of a generator function α. We introduced the α-number systems and the associated arithmetic operations, and we established the corresponding algebraic structures, including groups, fields, and vector spaces defined over α-real numbers. On the topological side, we developed the notions of α-metric spaces and α-sequences, thereby extending core concepts of analysis to the non-Newtonian setting. The study culminates with the formulation of star (*) analysis, which provides a systematic mechanism for transitioning between distinct arithmetic systems, together with a rigorous treatment of *-vector spaces and linear operators. © 2025 the Author(s),2-s2.0-10502210021
Geochronological and isotopic data from the adakitic Dodurga Pluton (Central Pontides, N Türkiye): new insights for the geodynamic evolution of the northern Neotethys
No full textThe Dodurga Pluton is located within the Central Pontides (northern Türkiye), has a SW–NE elongation, and consists of granodiorite and dacite porphyry. Previous studies have suggested that this pluton is Triassic in age, and its whole-rock geochemical systematics is consistent with that from adakitic magmatic occurrences rather than the classic arc granitoid suite. This study reports for the first time in situ/whole-rock radiogenic isotopic (Sr, Nd, and Pb) and mica/amphibole Ar–Ar age data to evaluate better its petrogenetic/geodynamic evolution and the chemical nature of mantle source(s). Unlike previous data, combined new in situ zircon U–Pb yield Late Cretaceous crystallization ages of 84.2 ± 0.9 Ma and 86.9 ± 0.9 Ma, and the Ar–Ar age data along with apatite fission track measurements suggest magma cooling extending to 82.3 ± 0.4 Ma and 85.4 ± 0.4 Ma, respectively. The apatite fission track (AFT) dating results also reveal that this pluton was buried at a depth of 2.5–3 km following a fast-cooling period during the Late Cretaceous and cooled/exhumed over ~2 km during the Middle–Late Miocene (15–10 Ma) in a slow cooling phase. The overall data reported here suggest that the Dodurga Pluton represents melts derived from an enriched/metasomatized mantle source that interacted with lower crustal mafic rocks in an active continental margin as a result of northward subduction of the northern branch of the Neotethys Ocean. © 2025, TUBITAK. All rights reserved
Effects of inspiratory muscle training on 1RM performance and body composition in professional natural bodybuilders
No full textBackground: The effect of inspiratory muscle training on upper limbs One Rep Maximum (1RM) in professional natural bodybuilders is still unclear. Our aim of this study is to investigate the effects of a 6 weeks inspiratory muscle training on 1RM results. Methods: This study included 14 athletes, that had participated in international bodybuilding competitions. Each athlete had been training for minimum of 5 years and at least 5 h per week. The participants were randomly divided into two groups: inspiratory muscle training (IMT) and control (CON) groups. The IMT group and CON group consisted of seven subjects. While the control group continued with the normal training regime, the IMT group additionally performed inspiratory muscle training with the resistance setting of the PowerBreathe® Classic device set to 40% of the participant’s MIP. Prior to and during the 6-week training period, the bench press 1 RM, anthropometry, pulmonary function tests, and maximal inspiratory (MIP) and expiratory (MEP) pressure measurements were obtained. A nutrition protocol developed by a qualified dietician was implemented for each athlete. Results: The mean maximal strength of the respiratory muscle training group changed by 14.39%, whereas that of the control group changed by 9.43% (p = 0.012). The changes in the mean FVC (p = 0.000), FEV1 (p = 0.001), PEF (p = 0.064), MIP (p = 0.001), and maximal expiratory pressure (p = 0.017) were greater in the IMT group. The mean circumferences of the shoulder (p = 0.004), chest (p = 0.008), arm (p = 0.004), and neck (p = 0.003) improved more in the IMT group than in the CON group. A reduction in abdominal measurement was observed in the IMT group (p = 0.039), whereas no notable discrepancy was identified in body fat percentage (p = 0.295). Conclusion: In conclusion we identified that the addition of progressive loading inspiratory muscle training for competition preparation programs in professional natural bodybuilders will further improve their respiratory function, respiratory muscle strength, maximal strength, and muscle development. This research provides valuable insights into how IMT influences bodybuilding training outcomes, potentially guiding future interventions and program designs to better support strength development and body composition in bodybuilding training contexts. Copyright © 2025 Çelikel, Yılmaz, Demir, Sezer, Ceylan, Ceylan and Tan
A new approach to solving local fractional Riccati differential equations using the Adomian-Elzaki method
No full textThe Elzaki-Adomian decomposition method (EADM) is intended to serve as an efficient analytical method for the resolution of these original fractional-order Riccati differential equations. This can be accomplished permanently by incorporating the Adomian decomposition method with Elzaki. The local fractional derivative is implemented in this format. Particularly in the context of nonlinear differential equations (ODE), this approach is preferred over digital gaps. Additionally, the method’s convergence. Random individuals with uniform, beta, normal, and gamma distributions are used to select the initial conditions or coefficients of the equations. The variance, confidence interval, and expected value of the solutions that are obtained will be determined. MATLAB (2013a) package software will be employed to display the individuals that were brought together, and the results will be analyzed randomly. © 2025 the Author(s), licensee AIMS Press