Osmaniye Korkut Ata University

The selective oxidation of H2S under ambient conditions remains a significant challenge due to the simultaneous requirements of efficient activation and controlled sulfur formation. Herein, we report a cooperative catalytic system comprising MgO-CuO nanoparticles supported on nitrogen-doped carbon aerogels (NBCAs) derived from chitosan. The catalyst was fabricated via a freeze-drying-assisted pyrolysis process, yielding uniformly dispersed dual metal oxides within a hierarchically porous carbon framework. Combined experimental characterization and density functional theory (DFT) calculations reveal a synergistic mechanism in which CuO primarily promotes H2S dissociation and O2 activation, and MgO provides a thermodynamically favorable pathway for deep oxidation of elemental sulfur to sulfates. The optimized Mg0.6Cu0.4-NBCA-600 catalyst delivers an exceptional sulfur breakthrough capacity of 5051.4 mg g-1 at room temperature and retains over 75% of its activity after five regeneration cycles. Moreover, the catalyst exhibits stable performance under varying oxygen concentrations and humidity levels, demonstrating high durability and adaptability under realistic operating conditions. These results elucidate the cooperative roles of dual metal oxides in ambient-temperature H2S oxidation and establish a structure-activity-mechanism relationship relevant to the rational design of regenerable desulfurization catalysts with integrated sulfur recovery.

This study systematically investigates the structural, mechanical, magneto-electronic, optical, and thermoelectric properties of the ternary pyrochlore oxides A2Sn2O7 (A = Y, Eu, Gd, Tb) using first-principles density functional theory. The optimized lattice parameters exceed the experimental values by 1.6-3.8%, following the overestimation characteristic of the PBE functional for oxides, with the deviation decreasing monotonically as the Asite cation becomes heavier. Analysis of the elastic stiffness constants confirms that all four oxides rigorously satisfy the Born mechanical stability criteria. Furthermore, the macroscopic mechanical evaluations identify Y2Sn2O7 as the stiffest phase of the series, with the largest bulk, shear and Young's moduli, while the Pugh ratio, Poisson's ratio and Cauchy pressure consistently classify it as the only brittle member, the Eu, Gd and Tb compounds being ductile. Electronic band structure and density of states calculations reveal distinct ground-state behaviours. Within the GGA+U description, Tb2Sn2O7 is a half-metallic ferromagnet with complete spin polarization in the collinear spin-only limit, whereas Eu2Sn2O7 and Gd2Sn2O7are magnetic semiconductors and Y2Sn2O7 is a non-magnetic semiconductor. The half-metallicity obtained for Eu2Sn2O7 within plain GGA does not survive the inclusion of the on-site Coulomb correction, illustrating the sensitivity of such predictions to the treatment of 4f correlation. Comparison of collinear magnetic configurations shows that the ferromagnetic state is the ground state of Eu2Sn2O7, while in Gd2Sn2O7 an antiferromagnetic arrangement lies 1.96 meV per formula unit lower. Optical spectra analyses reveal strong absorption and reflectivity in the infrared and visible ranges for the metallic members and transparency below the fundamental gap for the semiconducting ones, indicating ultraviolet-active optoelectronic functionality. Finally, thermoelectric transport analysis, including both the electronic and the lattice contributions to the thermal conductivity, yields room-temperature figures of merit between 0.88 and 0.93. Arising from a favourable balance between moderate Seebeck coefficients and high electrical conductivity, together with a low lattice thermal conductivity, these findings establish the A2Sn2O7 pyrochlore family as highly promising functional materials for integration into next-generation spintronic and thermoelectric devices.

Background Parents of children with immunodeficiency disorders may experience emotional difficulties prior to diagnosis. For this reason, the present study aims to examine the pre-diagnosis emotions and experiences of parents of children with immunodeficiency disorders by using a phenomenological approach. Methods This qualitative study employed a descriptive phenomenological design. The study was conducted between January and April 2026 with parents of children receiving treatment for immunodeficiency disorders at the Pediatric Day Treatment Unit of a university hospital. Nineteen parents were recruited using purposive sampling. Data were collected through semi-structured, in-depth interviews, all of which were audio-recorded. The data were analyzed using Braun and Clarke's six-step inductive thematic analysis method. Results The thematic analysis revealed six interconnected themes reflecting parents' experiences before the diagnosis of immunodeficiency: helplessness during the prediagnostic period, anxiety during the prediagnostic period, perceived inadequacy and guilt, protective responses to recurrent infections, social isolation and being judged, and the burden of prolonged caregiving. Overall, parents' experiences were characterized by a perceived lack of control over their children's recurrent illnesses, uncertainty surrounding the diagnostic process, self-questioning and guilt, intensive efforts to prevent infections, feelings of being misunderstood and judged, and substantial physical and emotional caregiving burden. Conclusion It was found that parents of children with immunodeficiency disorders experienced negative emotions and experiences prior to diagnosis. Application to practice Identifying the emotions and experiences of parents of children with immunodeficiency disorders prior to diagnosis can facilitate the individualization of nursing care and the planning of appropriate psychosocial support interventions.

In recent years, economic policy uncertainty has initiated a new discussion in environmental economics on the main drivers of environmental degradation. The main goal is to determine whether economic policy uncertainty leads to environmental damage or contributes to environmental quality. For this purpose, researchers commonly employ panel data analyses based on group estimation and use carbon emissions as a proxy for environmental indicators. However, by doing so they overlook country-specific estimations as well as underrepresent the ecological balance. To overcome these shortcomings, in this paper we employ two new approaches. First, we apply novel Fourier bootstrap autoregressive distributed lag estimation, which is the stronger estimation procedure in time-series analysis, to detect individual outcomes. Second, we use the ecological footprint as a proxy for environmental degradation, which reflects the natural balance more holistically and comprehensively than pollution indicators. In this context, our paper examines the impact of economic policy uncertainty on ecological footprint by using some control variables, such as economic growth and energy consumption. Our sample consists of seven emerging countries from 1965 to 2022. Fourier ARDL test results reveal a strong long-run relationship between ecological footprint and economic policy uncertainty, economic growth, and energy consumption for four emerging countries: India, Indonesia, Russia, and Türkiye. The estimations reveal that economic policy uncertainty in these countries contributes to environmental quality in the long run. In this context, it is important for policymakers to implement environmentally friendly growth strategies far from any uncertainty for the sake of sustainable economic development.

In this study, social media addiction, which attracts the attention of researchers today and is a risk factor for adolescents, was examined as a predictor of subjective well-being, which is accepted as one of the dimensions of functionality for mental health, especially within the framework of a positive approach. While explaining this relationship, the variables of social self-efficacy and school engagement, which again contribute to the psycho-social development area of ​​adolescence as a supporter, were also included in the process as mediator variables. The sample of the study consists of 821 students studying in high schools. SPSS 27.0 program was used for the correlation analyses of the estimated model of the study, and PROCESS Macro (Model-6) was used for mediator analyses. As a result of the analyses, it was seen that level of social media addiction was negatively and slightly significantly related to subjective well-being and social self-efficacy and school engagement, which were included as mediator variables. Correlation findings showed that subjective well-being was also positively and moderately significantly related to social self-efficacy and school engagement. It was also seen that there was a positive and moderately significant relationship between the mediator variables of the study (social self-efficacy and school engagement). Finally, in the analysis of the study, the indirect effect of social media addiction’s level on subjective well-being was evaluated through both social self-efficacy and school engagement, and the relationship was found to be significant.