Batman University (Turkish: Batman Üniversitesi) is one of the 17 new universities established with "Law on Amendments to the Statements Attached to the Law on the Organization of Institutes of Higher Education, to the Statutory Decree on Academic Faculty Members of Institutes of Higher Education, and to the Statutory Decree on General Faculty and Procedure" number 5662 and approved by then President Ahmet Necdet Sezer on May 28, 2007. It is located in Batman, Turkey.In January 2017, President Recep Tayyip Erdoğan appointed Aydın Durmuş rector of the university. Durmuş was replaced by İdris Demir in February 2021.
The pre-Neogene Menderes metamorphic basement rocks of the Gediz Graben host Türkiye’s second-largest installed geothermal capacity, highlighting the region’s pivotal role in advancing renewable energy initiatives. In this study, we present a comprehensive geomechanical model of the geothermal reservoir from Alaşehir field, located in the eastern part of the Gediz Graben. The “C-quality” breakouts in the overburden sedimentary interval indicate an E-W to ESE-WNW SHmax orientation in the study area. The studied pre-Neogene metamorphic basement rocks exhibit a predominantly normal faulting tectonic regime, with a breakout-constrained mean SHmax:Shmin ratio of 1.26. Caprock integrity assessment indicates that tensile failure within the Alaşehir shales may commence at an injection-induced pressure build-up of 22 MPa, which can be considered the practical injection threshold. The region’s structural framework is dominated by steeply dipping normal faults trending E-W or NW–SE, combined with low-angle detachment faults dissecting the metamorphic basement and Miocene sediments. Through detailed geomechanical modeling, we have simulated the shear slip potential of these discontinuities under various pressure build-up scenarios with varying geomechanical considerations. Critically stressed SHmax-parallel or subparallel steeply dipping fractures and normal faults exhibit shear slippage as pore pressure increases, enhancing hydraulic connectivity between injection and production wells. Under a pore pressure–horizontal stress coupling scenario, assuming a reduced frictional strength of these discontinuities, the model forecasts that approximately 33
Adverse childhood experiences (ACEs) are well-established risk factors for poor mental health, yet less is known about how positive childhood experiences (PCEs) and resilience may buffer these effects across different stages of life. Existing research has primarily focused on ACEs in isolation, leaving a gap in understanding the protective mechanisms that promote psychological well-being despite adversity. To address this gap, the present study examines the effects of ACEs and the mediating roles of PCEs and resilience in their relationship with anxiety and depression. The sample consisted of 2,287 Turkish participants, including adolescents (ages 13–18, n = 683), young adults (ages 19–29, n = 1,076), and adults (ages 30–75, n = 528). Participants completed the Adverse Childhood Experiences (ACEs) scale, the Positive Childhood Experiences (PCEs) scale, the Resilience Scale, and the Depression, Anxiety, and Stress Scale-21 (DASS-21). Results showed that ACEs were negatively associated with PCEs and resilience across all groups, while they were positively linked to anxiety and depression. Mediation analyses revealed that PCEs and resilience significantly mediated the relationship between ACEs and mental health outcomes. These findings underscore the importance of fostering positive childhood experiences and resilience as protective factors that can mitigate the long-term psychological impact of ACEs, informing targeted prevention and intervention strategies to support mental health across different life stages.
This study reports the fabrication and comprehensive analysis of an Al/NC/p-Si metal–insulator-semiconductor (MIS) structure, incorporating nanocellulose (NC) as an insulating interfacial layer at the metal/semiconductor junction for the first time. The NC material was rigorously characterized through dynamic light scattering (DLS), zeta potential analysis, ultraviolet–visible (UV–Vis) absorption spectroscopy, Raman spectroscopy, and scanning transmission electron microscopy (STEM). The electrical properties of the Al/NC/p-Si structure were systematically investigated via the current–voltage (I-V) and capacitance–voltage (C-V) measurements under dark and illuminated conditions at room temperature. The I-V analysis revealed an ideality factor (n) of 1.72 and a zero-bias barrier height (ΦB) of 0.80 eV, with deviations from ideality ascribed to the NC interfacial layer, interfacial state distribution, and elevated series resistance within the p-Si substrate. The series resistance (Rs) was further evaluated using the Norde and Cheung methodologies. The frequency-dependent analyses of the capacitance (C-V) and conductance (G-V) characteristics were performed, with results critically compared to literature. These findings underscore the promising insulating properties of nanocellulose and highlight its potential for application in electronic devices.
Myeloperoxidase (MPO) is an enzyme associated with a wide variety of chronic inflammatory diseases because, when activated, it catalyzes the production of HOCl, leading to both oxidative stress and inflammation. In this study, the synthesis and characterization of hybrid molecules (1–8) obtained from sulfonamide and Schiff base pharmacophores bearing electron-withdrawing groups (EWG) and electron-donating groups (EDG) as MPO inhibitor candidates are reported. The structures of the target compounds obtained in yields ranging between 69 and 79
This research introduces a sine cosine algorithm with pattern search (SCAPS), a hybrid optimization algorithm for digital infinite impulse response (IIR) filter system identification. SCAPS combines the global exploration of SCA with the local exploitation of pattern search, addressing SCA's limitations in complex optimization landscapes. It was benchmarked against SCA, genetic algorithm, particle swarm optimization, and cooperation search algorithm. Performance was evaluated using fifth-order IIR plant models and reduced-order fifth- and sixth-order systems representing diverse dynamics. A mean square error (MSE)-based fitness function was used, with statistical metrics (best, worst, mean, standard deviation) and Wilcoxon's rank-sum test for evaluation. Sensitivity and computational cost analyses were also conducted. Results show that SCAPS achieves faster convergence, lower MSE, and improved robustness, demonstrating its potential for accurate system identification and engineering applications requiring precise parameter estimation.
