Using annual data (1990–2021) and an ARDL bounds approach, the paper tests whether renewable energy mitigates the environmental impact of military expenditures in Turkiye and adds an interaction term to capture joint effects [page::7]. Empirical results show military expenditure raises CO2 emissions in both short and long run while renewable energy reduces CO2; importantly, the interaction term is negative and significant, indicating renewables attenuate the military-related increase in emissions [page::9]. Policy implications include promoting renewable adoption in military infrastructure, mandatory environmental assessments for defense projects, and civil–military cooperation to achieve greener security [page::10].
This paper applies spectral clustering (with Eigen-Gap selection and Silhouette validation) to 2023 import, export and net-export data (raw and exchange-rate adjusted) for Türkiye's 81 provinces, finding an optimal 3-cluster partition (Low/Medium/High) and revealing pronounced regional disparities — e.g., İzmir has the highest net-export performance while İstanbul records the lowest net-export values; exchange-rate adjustments materially change some province rankings [page::0][page::11].
We develop a unified theoretical framework for target-search first-passage problems under event-driven threshold resetting (TR), derive an exact MFPT expression for N independent searchers with collective resets, and show nontrivial optimization of MFPT and a trade-off with resetting cost for both ballistic and diffusive searchers [page::0][page::1][page::3]
本文提出一种“共演化”（co-evolutionary）标定框架，将遗传算法（GA）与进化神经逆映射耦合，以加速 Heston 模型参数标定并生成在线即时推断；研究发现 NN 驱动的注入能显著加速 GA 收敛，但当训练集来源于优化器历史时会造成数据集中化并引发过拟合，而采用 Latin Hypercube Sampling 的空间填充数据能在保持相似精度的同时显著提升对未见曲面的泛化稳定性 [page::0][page::16].
