Mersin University is a public university, built in 1992 in Mersin province, Turkey. It has about 39,000 students, 1,813 academic staff, and a number of foreign and guest academic staff.The university has research and sports facilities, in Mersin town centre and in other towns.In 2005 the Mersin Technology Development Zone (Technoscope) was set up, creating a partnership between the university's research and development departments and industry, with the aim of developing new technologies that could be directly translated into industrial production.
The International Federation of Surveyors (FIG) has globally influenced land administration through its Cadastre 2014 vision and subsequent LADM standards. Türkiye has been modernizing its land registry and cadastre system accordingly. The General Directorate of Land Registry and Cadastre (GDLRC) manages approximately 17 million annual transactions, including about 3.4 million conveyancing (long-term averages). To reduce congestion in Land Registry Offices (LROs), notaries were authorized to issue sales contracts in June 2022. This study investigates the effects of this change within the Cadastre 2014/2034 framework in terms of the maturity of the Turkish Land Administration System (LAS) and also by linking the issue to broader debates within land management and governance. A survey of 140 GDLRC experts revealed that notary involvement currently offers limited time and financial benefits to citizens and does not significantly reduce LRO workload. The central factor for this limitation is evaluated to be the maturity of Turkish LAS. On the other hand, the initiative aligns with Cadastre 2014’s fifth statement, which advocates public-private collaboration, and therefore it should be further evolved. Within this evolution, administrative/managerial fixes and training programmes for notaries in the short term, management of all internal and external RRRs via LAS as a spatial data infrastructure service in line with LADM standards in the medium term, and betterment of institutional coordination, public responsibility development and capacity building in the long term are proposed for a better eventual land administration and management towards local and national good land governance.
Sesame (Sesamum indicum L.) is a globally important oilseed crop, but its production is constrained by charcoal rot, caused by the soil-borne fungus Macrophomina phaseolina. The pathogen’s exceptionally broad host range, long-term soil persistence through microsclerotia, and increased aggressiveness under high temperature and drought make charcoal rot a major destructive constraint in sesame-growing regions. This review integrates current knowledge on the biology, epidemiology, infection processes, and genetic population variability of Macrophomina spp. in relation to charcoal rot development in sesame. We also summarize key host resistance mechanism including pathogen perception, cell wall reinforcement, phenylpropanoid-mediated defense, antioxidant responses, and associated physiological and molecular adaptations. Particular attention is given to the challenges of resistance screening under variable environmental conditions, including heat- and drought-associated disease expression and pathogen diversity, which complicate the identification of stable resistance sources. The review further examines progress in sesame improvement through germplasm characterization, mutation breeding, interspecific introgression, high-throughput phenotyping, and genomic-assisted approaches such as QTL mapping, genome-wide association studies (GWAS), marker-assisted selection, genomic selection, and functional validation. Integrating these tools with multi-omics and gene-editing strategies offers a promising route for accelerating the development of durable, climate-resilient charcoal rot resistance cultivars. Broader use of diverse germplasm, standardized multi-environment phenotyping, and international collaboration will be essential for sustainable resistance breeding and future sesame production.
Hybrid carbon designs have arisen as an effective approach to mitigate the primary shortcomings of traditional anode materials in lithium-ion batteries (LIBs), specifically concerning capacity, rate capability, and long-term cycle stability. Although heteroatom doping may modify the electrical structure of carbon, it often fails to alleviate the mechanical deterioration and interfacial instability of high-capacity anodes like silicon, metal oxides, and phosphorus. Hybrid carbon frameworks mitigate mechanical degradation by transferring strain caused by lithiation across continuous conducting networks and void-containing structures, thereby preventing particle fragmentation and maintaining electrical connectivity. At the interface, heteroatom-doped carbon may influence surface polarity and local electron density, promoting a thinner and more inorganic-rich solid electrolyte interphase (SEI) while restricting impedance escalation during cycling. This review succinctly evaluates advancements (2015–2025) in hybrid carbon architectures and examines the impact of combined doping and interfacial engineering on transport kinetics, mechanical integrity, and SEI chemistry in one-dimensional (1D), two-dimensional (2D), and three-dimensional (3D) configurations. To facilitate equitable cross-study comparison, the evaluation highlights reporting deficiencies and accentuates electrode-specific parameters, such as areal loading, initial coulombic efficiency, and volumetric energy density, in conjunction with traditional gravimetric performance. The paper delineates practical strategies for translation, emphasizing scalable coating methods and roll-to-roll compatible manufacturing, validation of high-loading electrodes, and data-driven evaluation of dopant-interface combinations to optimize SEI stability alongside volumetric energy density.
Artificial intelligence (AI) has become one of the main driving forces of transformation in the financial sector, while simultaneously generating significant implications for environmental sustainability and sustainable development processes. This study analyzes the effects of AI investments in the financial sector on CO2 and total greenhouse gas (GHG) emissions, as well as on Sustainable Development Goal 7 (SDG 7) performance. The analysis is conducted using data from 13 countries with sufficient data availability over the period 2014-2023, compiled from the OECD AI Policy Observatory, the World Bank's World Development Indicators (WDI), and the Sustainable Development Report. The empirical analysis employs Driscoll-Kraay standard errors and the method of moments quantile regression (MMQR) approach. In addition, the robustness of the findings against potential endogeneity is tested using the two-stage least squares (2SLS) method. The results indicate that AI investments in the financial sector have a statistically significant and negative effect on CO2 and GHG emissions, with this effect being more pronounced in countries with higher emission levels. In contrast, although the impact of AI investments on SDG 7 performance remains positive across both models, the findings provide only limited empirical support. Overall, the results suggest that AI investments in the financial sector can serve as an important tool for reducing environmental pressures. Accordingly, it is recommended that policymakers design financial digitalization processes in alignment with environmental objectives and integrate AI-based financial applications with sustainability-oriented strategies.
The prevalence of diabetes mellitus (DM) is increasing daily worldwide. DM patients suffer from numerous complications, including the development of chronic wounds that can lead to amputation. These complications necessitate innovative approaches. As part of these innovative approaches, this study synthesized four chalcone derivatives and evaluated their activities in an in vitro diabetic wound model. Several spectroscopic techniques, including 1 H and 13 C NMR and HR-MS, were used to confirm the structures of the newly synthesized compounds. After investigating the inhibition of α-glucosidase in HDF-1 cells treated with D-glucose (50 mM), MTT tests and scratch tests were performed. Tumor necrosis factor-alpha (TNF-α), interleukin-1 beta (IL-1β), total antioxidant status (TAS), and procollagen type-1 were analyzed using an ELISA kit. Additionally, proliferation (Ki67), inflammatory (Nuclear factor kappa B; NFκB), and growth factor (Platelet-derived growth factor subunit A; PDGFA) markers in fibroblasts were assessed by immunohistochemistry. All compounds exhibited strong α-glucosidase inhibitory activity, with IC₅₀ values ranging from 1.115 to 1.612 µg/mL. Cytotoxicity analysis demonstrated that all compounds were biocompatible, maintaining over 85
