Manisa Celal Bayar University or (MCBU) is a public research university located in Manisa, Turkey. CBU traces its root back to 1959 as an independent sports and teachers' college in Manisa. The main campus is in Muradiye district of Manisa. The university is composed of 14 colleges, 3 schools, and 15 vocational schools. As of 2017 university offers over 70 different undergraduate and over 90 graduate programs. MCBU is the only school in the country to offer tobacco technology engineering program. Physical Education and Sports College is also one of oldest in Turkey that began offering sports science and physical education programs.It is one of the largest universities in Aegean Region with more than 55,000 student body and 1,156 faculty members. As of Fall 2017 there are 652 international students.
In this study, we investigate the nonlinear effects of global value chains (GVCs) on environmental degradation and the mediating role of financial development (FD) in this relationship, while controlling for renewable energy consumption and economic growth across 10 developing countries from 1995 to 2020. In line with the study's aim, we have employed mixed-methods quantile regression (MMQR) to address endogeneity and heterogeneity, and generalized method of moments (GMM), panel-corrected standard errors (PCSE), and fully modified least squares (FM-OLS) regressions for robustness checks. Our research is grounded in the conceptual frameworks of the environmental Kuznets curve (EKC) and the stochastic impacts of population, affluence, and technology (STIRPAT) model. The findings reveal that (a) there is an inverted-U-shaped relationship between GVCs and environmental degradation, notably at higher quantiles, meaning GVCs help control environmental degradation after a threshold level; (b) an inverted-N-shaped relationship between FD and environmental degradation at lower quantiles is clearer; (c) the Sobel test confirms that a high FD level mitigates environmental degradation; and (d) renewable energy prevents environmental degradation in developing countries. In developing countries, supporting green innovation and the transition to renewable energy through FD represents a significant milestone in achieving the Sustainable Development Goals (SDGs). We propose coordinated policies that reconcile participation in GVCs with FD and environmental regulations, ensuring a sustainable future for developing economies.
Underground mining is becoming increasingly important as economically valuable ore deposits near the surface are depleting and depth of ore seam is increasing. In underground mining, miners have to deal with rock, soil and drainage systems and have to keep the production system stable, safe and secure. Due to these reasons, underground mining has difficult conditions that need to be handled scientifically and carefully. As artificial intelligence techniques are developing, mining industry has also started to benefit from the use and advantages of these methods. In this study, application of artificial intelligence techniques in underground mining methods are examined and state of the art review is presented. Application areas are classified into four headings. These are namely, rock mechanics and engineering, multi-criteria decision making, underground operations safety health, economic analysis of mining operations. In addition, studies handled are classified according to methodology as simulation based and machine learning/deep learning based methods. All subgroups are analyzed and areas of study which need more attention in terms of artificial intelligence techniques are revealed.
This study investigates the nonlinear dynamic stability and internal resonance of osteon micro-beams under localized thermal gradients. Utilizing Nonlocal Strain Gradient Theory (NSGT), the size-dependent behavior of the Haversian system is modeled to bridge microscopic nuances and macroscopic thermal-mechanical responses. The governing equations are derived and solved via the Method of Multiple Scales (MMS) to determine nonlinear frequency-response characteristics. The results indicate that thermal gradients cause frequency reduction and convergence, while the nonlinear response retains a persistent hardening-type behavior at large amplitudes. A critical highlight is the identification of a 1:3 internal resonance threshold. At specific parametric configurations, the system exhibits sophisticated modal coupling, a 'double-peak' resonance profile, and the saturation phenomenon, indicating nonlinear energy transfer between the fundamental and second modes. Furthermore, 3D coupled parametric maps illustrate a 'stability canyon', highlighting osteon dynamic sensitivity under combined thermal and nonlocal influences. The obtained nonlinear vibration characteristics and internal resonance behavior may provide useful insight into how dynamic loading conditions influence stress redistribution and mechanical response at the osteon scale.
This collective article presents new information about 18 species occurring in 12 Mediterranean countries from the Alboran Sea to the Levantine Sea. Five lessepsian species namely Erugosquilla massavensis, Syrnola fasciata, Plocamopherus ocellatus, Maritigrella fuscopunctata and Siganus javus have spread within 2025 to neighbouring MSFD areas. Another five are here reported as first country records [Polyandrocarpa zorritensis (Malta), Gonioinfradens giardi (Italy), Istiblennius meleagris (Egypt), Epinephelus fasciatus (Israel), Lophocladia trichoclados (Montenegro)]. Cladophora patentiramea has spread from the Levantine to the Aegean Sea, while Pinctada radiata has reached Granada, and C & aacute;diz. The Atlantic fish Enchelycore anatina and Synodus synodus have expanded their distribution to Montenegro and Syria respectively. Three rare native species are reported for first time at country level, while a fourth (Mobula birostris) has made an appearance more than a century after its first Mediterranean record.
The convergence of blockchain technology (BCT) and tourism presents a transformative pathway by offering a fruitful potential to enhance the travel lifecycle. Yet, the extant literature remains fragmented and lacks a cohesive and comprehensive evaluation of the benefits and challenges associated with BCT adoption in the leisure tourism industry. To address this gap, this study conducts a systematic literature review of 53 peer-reviewed papers retrieved from the Web of Science, ScienceDirect, and Scopus databases, covering the period from 2018 to 2025. By employing the PRISMA guidelines, this review synthesises the advantages of BCT integration into a chronological framework comprising pre-travel arrangements, on-site experiences, and post-trip engagements. Simultaneously, it provides a critical assessment of adoption barriers, categorised into inter-institutional, intra-institutional, operational, and technological challenges. By bridging the gap between BCT's transformative potential and its current embryonic state, this review offers a strategic roadmap for stakeholders and establishes an agenda for future academic research.
