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  • Article
    Citation - WoS: 5
    Citation - Scopus: 6
    A Novel Deep Learning-Based Framework With Particle Swarm Optimisation for Intrusion Detection in Computer Networks
    (Public Library Science, 2025) Yilmaz, Abdullah Asim
    Intrusion detection plays a significant role in the provision of information security. The most critical element is the ability to precisely identify different types of intrusions into the network. However, the detection of intrusions poses a important challenge, as many new types of intrusion are now generated by cyber-attackers every day. A robust system is still elusive, despite the various strategies that have been proposed in recent years. Hence, a novel deep-learning-based architecture for detecting intrusions into a computer network is proposed in this paper. The aim is to construct a hybrid system that enhances the efficiency and accuracy of intrusion detection. The main contribution of our work is a novel deep learning-based hybrid architecture in which PSO is used for hyperparameter optimisation and three well-known pre-trained network models are combined in an optimised way. The suggested method involves six key stages: data gathering, pre-processing, deep neural network (DNN) architecture design, optimisation of hyperparameters, training, and evaluation of the trained DNN. To verify the superiority of the suggested method over alternative state-of-the-art schemes, it was evaluated on the KDDCUP'99, NSL-KDD and UNSW-NB15 datasets. Our empirical findings show that the proposed model successfully and correctly classifies different types of attacks with 82.44%, 90.42% and 93.55% accuracy values obtained on UNSW-B15, NSL-KDD and KDDCUP'99 datasets, respectively, and outperforms alternative schemes in the literature.
  • Article
    Citation - WoS: 58
    Two-Dimensional Fluorinated Boron Sheets: Mechanical, Electronic, and Thermal Properties
    (Amer Chemical Soc, 2018) Pekoz, Rengin; Konuk, Mine; Kilic, M. Emin; Durgun, Engin
    The synthesis of atomically thin boron sheets on a silver substrate opened a new area in the field of two-dimensional systems. Similar to hydrogenated and halogenated graphene, the uniform coating of borophene with fluorine atoms can lead to new derivatives of borophene with novel properties. In this respect, we explore the possible structures of fluorinated borophene for varying levels of coverage (BnF) by using first-principles methods. Following the structural optimizations, phonon spectrum analysis and ab initio molecular dynamics simulations are performed to reveal the stability of the obtained structures. Our results indicate that while fully fluorinated borophene (BF) cannot be obtained, stable configurations with lower coverage levels (B4F and B2F) can be attained. Unveiling the stable structures, we explore the mechanical, electronic, and thermal properties of (BnF). Fluorination significantly alters the mechanical properties of the system, and remarkable results, including direction-dependent variation of Young's modulus and a switch from a negative to positive Poisson's ratio, are obtained. However, the metallic character is preserved for low coverage levels, and metal to semiconductor transition is obtained for B2F. The heat capacity at a low temperature increases with an increasing F atom amount but converges to the same limiting value at high temperatures. The enhanced stability and unique properties of fluorinated borophene make it a promising material for various high-technology applications in reduced dimensions.
  • Article
    Citation - WoS: 2
    Citation - Scopus: 2
    Potential Role of SGLT-2 Inhibitors in Improving Allograft Function and Reducing Rejection in Kidney Transplantation
    (Wiley, 2025) Demir, Mehmet Emin; Helvaci, Ozant; Yildirim, Tolga; Merhametsiz, Ozgur; Sezer, Siren
    Sodium-glucose cotransporter-2 inhibitors (SGLT-2i) have demonstrated renoprotective and cardioprotective benefits beyond their antiglycemic effects. Their potential utility in kidney transplant recipients (KTRs) for preserving graft function and reducing rejection risk is currently under active investigation. Preliminary studies indicate that SGLT-2i therapy stabilizes estimated glomerular filtration rate (eGFR), decreases glomerular hyperfiltration, and improves metabolic outcomes in KTRs. Emerging clinical evidence also suggests that SGLT-2i may be associated with reduced rates of acute rejection, although direct immunosuppressive actions remain unclear. Experimental findings further suggest that SGLT-2i modulates gene regulation pathways involved in inflammation, oxidative stress, and fibrosis, contributing to improved allograft outcomes. Current safety data in KTRs are reassuring, without significant increases in urinary tract infections or adverse graft events. Nevertheless, long-term prospective studies specific to transplant populations are lacking. This review summarizes available evidence regarding the mechanisms of action, clinical efficacy, and safety profile of SGLT-2i in kidney transplantation, emphasizing their metabolic, hemodynamic, inflammatory, and immunomodulatory effects.
  • Article
    Citation - WoS: 23
    Citation - Scopus: 26
    Reconstruction of 3d Object Shape Using Hybrid Modular Neural Network Architecture Trained on 3d Models From Shapenetcore Dataset
    (Mdpi, 2019) Kulikajevas, Audrius; Maskeliunas, Rytis; Damasevicius, Robertas; Misra, Sanjay
    Depth-based reconstruction of three-dimensional (3D) shape of objects is one of core problems in computer vision with a lot of commercial applications. However, the 3D scanning for point cloud-based video streaming is expensive and is generally unattainable to an average user due to required setup of multiple depth sensors. We propose a novel hybrid modular artificial neural network (ANN) architecture, which can reconstruct smooth polygonal meshes from a single depth frame, using a priori knowledge. The architecture of neural network consists of separate nodes for recognition of object type and reconstruction thus allowing for easy retraining and extension for new object types. We performed recognition of nine real-world objects using the neural network trained on the ShapeNetCore model dataset. The results evaluated quantitatively using the Intersection-over-Union (IoU), Completeness, Correctness and Quality metrics, and qualitative evaluation by visual inspection demonstrate the robustness of the proposed architecture with respect to different viewing angles and illumination conditions.
  • Article
    Citation - WoS: 9
    Citation - Scopus: 13
    The Evaluation of Oxidative Stress in the Young Adults With Covid-19 Mrna Vaccines Induced Acute Pericarditis- Myopericarditis
    (Dove Medical Press Ltd, 2022) Dursun, Ali Dogan; Saricam, Ersin; Sariyildiz, Gulcin Turkmen; Iscanli, Murat Dogan; Cantekin, Omer Faruk
    Background: During COVID-19 pandemic, several vaccines have been developed such as mRNA vaccines. However, acute pericarditis and myocarditis/myopericarditis cases have been described after mRNA vaccination. The mechanism for the development of cardiac involvement is unknown. Potential mechanism for oxidative stress associated with vaccine-induced heart involvement is unidentified. This study aimed to examine the role of oxidative stress and the heart involvement in young adults vaccinated with COVID-19 mRNA vaccines. Methods: In this cross-sectional study, a total of 23 participants were included and 10 of these participants were asymptomatic patients (control group). Comparison of the cardiac involvement and control group was made by using troponin I, C-reactive protein (hsCRP), D-dimer levels, and oxidative stress tests including nitric oxide, and imaging techniques (ECG, echocardiography, cardiovascular magnetic resonance). Results: The median age of acute pericarditis group (10 patients) was 22 years (Q1-Q3: 18.5-31), and the mean age was 24.4 +/- 7.5 years. The median age of myopericarditis group (3 patients) was 22 years (Q1-Q3 18.0-25.0), and the mean age was 21.6 +/- 3.5 years. All the myopericarditis cases were male. The patients with myopericarditis had higher troponin I level, hsCRP, and D-dimer levels (troponin I level; 1600.00 ng/mL; D-dimer; 1.20 mu g/mL, hsCRP; 3.0 mg/L, respectively; p < 0.05). Serum nitric oxide levels and OSI (total oxidant status, H2O2/total antioxidant status) were lower in myopericarditis group than the control and acute pericarditis group (p < 0.05). This shows inflammatory and procoagulant state. Conclusion: Vaccine-induced myopericarditis cases are associated with oxidative stress test abnormality (abnormal NO, OSI levels). However, there is no relationship between NO levels and other oxidative stress tests difference in vaccine-induced acute pericarditis. It is thought that vaccine-induced pericarditis and myopericarditis could have different pathogenesis. This could make it necessary to reassess the second dose of vaccination for vaccine-induced cardiac involvement cases.
  • Article
    Citation - WoS: 19
    Citation - Scopus: 18
    Deviations From Born-Oppenheimer Theory in Structural Chemistry: Jahn-Teller, Pseudo Jahn-Teller, and Hidden Pseudo Jahn-Teller Effects in C3h3< and C3h3<
    (Amer Chemical Soc, 2013) Kayi, H.; Garcia-Fernandez, P.; Bersuker, I. B.; Boggs, J. E.
    The electronic structure and vibronic coupling in two similar molecular systems, radical C3H3 and anion C3H3-, in ground and excited states, are investigated in detail to show how their equilibrium structures, in deviation from the Born-Oppenheimer approximation, originate from the vibronic mixing of at least two electronic states, producing the Jahn-Teller UT), pseudo JT (PJT), and hidden PJT effects. Starting with the high-symmetry geometry D3h of C3H3, we evaluated its 2-fold degenerate ground electronic state 2E" and two lowest excited states 2A,' and 2E' and found that all of them contribute to the distortion of the ground state via the JT vibronic coupling problem E" e' and two PJT problems (E" + A(1)') circle star e" and (E" + E') circle times (a2" + e"); all the three active normal modes e'(1335 e"(1030 cm(-1)), and a2"(778 cm(-1)) are imaginary, meaning that all the three vibronic couplings are sufficiently strong to cause instability, albeit in different directions. The first of them, the ground state JT effect, enhances one of the C-C bonds (toward an ethylenic form with C-2v symmetry), while the two PJT effects produce, respectively, cis (a(2)" toward C-3v symmetry) and trans (e") puckering of the hydrogen atoms. As a result, C3H3 has two coexisting equilibrium configurations with different geometry. In the C3H3- anion, the ground electronic state in DA symmetry is an orbitally nondegenerate spin triplet (3)A(2)' with a group of close in energy singlet and triplet excited states in the order of (1)A(1),', (3)A(1)', E-1", E-3", and E-1'. This shows that two PJT couplings, (3A(2)' + (3)A(1)") circle times a(2)" and (3A2' + 3E") e", may influence the geometry of the equilibrium structure in the 3A2' state. Indeed, both vibrational modes, a(2)"(1034 cm(-1)) and e"(1284 cm(-1)), are imaginary in this state. Similar to the radical case, they produce, respectively, cis (a(2)") and trans (e") puckering of the hydrogen atoms, but no e' distortion of the basic C-3 triangle; the equilibrium configuration with Cs symmetry occurs along the stronger e" distortions. Another higher-in-energy triplet-state minimum with C-2v symmetry emerges as a result of a strong JTE in the excited 3E" electronic state. In addition to these APES minima with spin-triplet electronic states, the system has a coexisting minimum with a spin-singlet electronic state, which is shown to be due to the hidden PJT effect that couples two singlet excited states. The two lowest equilibrium configurations of the C3H3- anion with different geometry and spin realize a (common to all electronic e(2) configurations) magnetic and structural bistability accompanied by a spin crossover. Some general spectroscopic consequences are also noted. As a whole, this article is intended to demonstrate the efficiency of the vibronic coupling approach in rationalizing the origin of complicated structural features of molecular systems as due to a combination of nonadiabatic JT effects.
  • Article
    Citation - WoS: 7
    Citation - Scopus: 8
    Dft Insights Into Noble Gold-Based Compound Li5aup2: Effect of Pressure on Physical Properties
    (Amer Chemical Soc, 2023) Surucu, Gokhan; Gencer, Aysenur; Surucu, Ozge; Ali, Md. Ashraf
    In this study, the Li5AuP2 compound is investigated in detail due to the unique chemical properties of gold that are different from other metals. Pressure is applied to the compound from 0 to 25 GPa to reveal its structural, mechanical, electronic, and dynamical properties using density functional theory (DFT). Within this pressure range, the compound is optimized with a tetragonal crystal structure, making it mechanically and dynam-ically stable above 18 GPa and resulting in an increment of bulk, shear, and Young's moduli of Li5AuP2. Pressure application, furthermore, changes the brittle or ductile nature of the compound. The anisotropic elastic and sound wave velocities are visualized in three dimensions. The thermal properties of the Li5AuP2 compound are obtained, including enthalpy, free energy, entropy x T, heat capacity, and Debye temperature. The electronic properties of the Li5AuP2 compound are studied using the Perdew-Burke-Ernzerhof (PBE) and Heyd-Scuseria-Ernzerhof (HSE) functionals. The pressure increment is found to result in higher band gap values. The Mulliken and bond overlap populations are also determined to reveal the chemical nature of this compound. The optical properties, such as dielectric functions, refractive index, and energy loss function of the Li5AuP2 compound, are established in detail. To our knowledge, this is the first attempt to study this compound in such detail, thus, making the results obtained here beneficial for future studies related to the chemistry of gold.
  • Article
    Citation - WoS: 5
    Citation - Scopus: 7
    Deadline-Aware Energy-Efficient Query Scheduling in Wireless Sensor Networks With Mobile Sink
    (Hindawi Ltd, 2013) Karakaya, Murat
    Mobile sinks are proposed to save sensor energy spent for multihop communication in transferring data to a base station (sink) in Wireless Sensor Networks. Due to relative low speed of mobile sinks, these approaches are mostly suitable for delay-tolerant applications. In this paper, we study the design of a query scheduling algorithmfor query-based data gathering applications using mobile sinks. However, these kinds of applications are sensitive to delays due to specified query deadlines. Thus, the proposed scheduling algorithm aims to minimize the number of missed deadlines while keeping the level of energy consumption at the minimum.
  • Article
    Citation - WoS: 8
    Citation - Scopus: 10
    Biomechanical Effects of Two Different Collar Implant Structures on Stress Distribution Under Cantilever Fixed Partial Dentures
    (Taylor & Francis Ltd, 2011) Meric, Gokce; Erkmen, Erkan; Kurt, Ahmet; Eser, Atilim; Ozden, Ahmet Utku
    Objective. The purpose of the study was to compare the effects of two distinct collar geometries of implants on stress distribution in the bone around the implants supporting cantilever fixed partial dentures (CFPDs) as well as in the implant-abutment complex and superstructures. Materials and methods. The three-dimensional finite element method was selected to evaluate the stress distribution. CFPDs which was supported by microthread collar structured (MCS) and non-microthread collar structured (NMCS) implants was modeled; 300 N vertical, 150 N oblique and 60 N horizontal forces were applied to the models separately. The stress values in the bone, implant-abutment complex and superstructures were calculated. Results. In the MCS model, higher stresses were located in the cortical bone and implant-abutment complex in the case of vertical load while decreased stresses in cortical bone and implant-abutment complex were noted within horizontal and oblique loading. In the case of vertical load, decreased stresses have been noted in cancellous bone and framework. Upon horizontal and oblique loading, a MCS model had higher stress in cancellous bone and framework than the NMCS model. Higher von Mises stresses have been noted in veneering material for NMCS models. Conclusion. It has been concluded that stress distribution in implant-supported CFPDs correlated with the macro design of the implant collar and the direction of applied force.
  • Article
    Citation - WoS: 1
    Citation - Scopus: 1
    Does the Immigration Affect Prenatal Attachment Levels?
    (Routledge Journals, Taylor & Francis Ltd, 2023) Tekmen, Ezgi Kubra; Boztepe, Handan; Topal, Cansu Akdag
    Pregnancy is an important period in which mother-infant attachment begins, includes bio-psychological changes, and has physical and psychological effects on the future life of the fetus. This study aims to evaluate the prenatal attachment levels of Syrian refugee and Turkish mothers in Turkey and to determine the variables that affect these. This cross-sectional study conducted in the obstetric outpatient clinics with 397 pregnant women 197 Syrian and 200 native women. Inclusion criteria were a pregnancy of at least 20 weeks, no communication or mental disorders, no chronic diseases, no diagnosis of high -risk pregnancy, literacy in the pregnant Turkish women, Turkish language proficiency in the pregnant Syrian women, and residence in Turkey for at least three years. Data were collected using a Sociodemographic form and The Prenatal Attachment Inventory (PAI). The data were analyzed by conduct-ing independent t-tests, and hierarchical multiple linear regression analysis. The mean prenatal attachment score of Turkish pregnant women (61.79 +/- 8.55) was higher than Syrian women (48.38 +/- 10.39) (p < .05). Education level, pre-pregnancy counseling, regular checkup, support from spouses, relatives, and friends, and being a refugee of pregnant women were determined as predictors of prenatal attachment. The results showed that 67 percent of the total variance in the prenatal attachment levels could be explained in model 2 (F = 35.524, R2 variation = .673, p = .001). The low prenatal attachment level of Syrian pregnant women was a result of the detrimental impacts of being a refugee on pregnancy. The integration of transcultural knowledge, culture-specific perspectives, and cross-cultural theories into clinical practices is essen-tial for immigrant women.