Okan University

MXenes and their composites exhibit remarkable electrical conductivity, mechanical flexibility, and biocompatibility, making them ideal candidates for microrobot fabrication. Their tunable surface chemistry allows for easy functionalization, which enhances their...

The expeditious propagation of fake news through online social media platforms has cropped up as a captious challenge, undermining the credibility of information sources and affecting public trust. Accurate detection of fake news is imperative to maintain the integrity of online content but is constrained by availability of data. This research aims to detect fake news from online articles by proposing a novel deep learning ensemble network capable of effectively discerning between genuine and fabricated news articles using limited data. We introduce ScrutNet, which leverages the synergistic capabilities of a bidirectional long short-term memory network and a convolutional neural network, which have been meticulously designed and fine-tuned for the task by us. This comprehensive ensemble classifier captures both sequential dependencies and local patterns within the textual data without requiring very large datasets like transformer based models. Through rigorous experimentation, we optimise the individual model parameters and ensemble strategy. The experimental results showcase the remarkable efficacy of ScrutNet in the detection of fake news, with an outstanding precision of 99.56%, 99.43% specificity, and an F1 score of 99.49% achieved on the partition test of the data set. Comparative analysis against state-of-the-art baselines demonstrates the superior performance of ScrutNet, establishing its prominence as a generalised and dependable fake news detection mechanism.

This research focuses on the study and solution of fractional partial differential equations (FPDEs), a critical area in mathematical analysis. FPDEs pose significant challenges due to their complexity, often requiring extensive computational resources to solve. Given the scarcity of exact solutions, numerical methods have been a primary approach for tackling FPDEs. However, these methods often yield substantial but limited results. The ongoing quest for more effective solutions has led researchers to explore new methodologies. Recent advancements in deep learning (DL), particularly in deep neural networks (DNNs), offer promising tools for solving FPDEs due to their exceptional function-approximation capabilities, demonstrated in diverse applications such as image classification and natural language processing. This research addresses the challenges of solving FPDEs by proposing a novel deep feedforward neural network (DFNN) framework. The method integrates the Laplace transform for memory-efficient Caputo derivative approximations and demonstrates superior accuracy across various examples. The results highlight the framework’s versatility and computational efficiency, establishing it as a powerful tool for solving FPDEs.

We derive the Lorentz-invariant expression for the force acting on a pointlike electric/magnetic dipole in an electromagnetic field, based on a covariant representation of the Lagrangian density for a polarized/magnetized material medium in an electromagnetic field (Fabrizio M. and Morri A., Electromagnetism of Continuous Media (Oxford University Press, Oxford) 2003), and discuss its physical meaning.

Purpose To assess the choroidal vascularity index (CVI) in individuals who have recovered from moderate pneumonia caused by COVID-19, using enhanced depth imaging optical coherence tomography (EDI-OCT). Methods This study included 43 patients who had recovered from SARS-CoV-2 infection with mild pneumonia (Group 1-COVID group), as well as 45 healthy individuals (Group 2- healthy control group). The study comprised COVID-19 patients who fully recovered from COVID-19 pneumonia. These patients were assessed 6 months after their pneumonia had totally resolved. The measurements were acquired via EDI-OCT investigations of the choroidal structures. The primary measure of interest was the CVI, which is defined as the ratio of the luminal area (LA) to the total choroidal area (TCA). Results Patients from Group 1 (COVID group) who had totally recovered exhibited significantly higher mean TCA, stromal area (SA), and LA compared to patients from Group 2 (control or healthy group). The two groups did not show a significant difference in CVI (p = 0.080). Conclusion Choroidal vascularity index can reveal the choroidal vascular physiology in patients who have fully recovered from COVID-19 pneumonia. EDI-OCT can be utilized to evaluate choroidal vascular alterations, serving as a non-invasive indicator for early vascular impairment following SARS-CoV-2 infection.

Purpose In this study, it was aimed to examine the relationship between the profunda brachii artery and the radial nerve at the entrance to and within the radial groove considering no comparable study was found in the literature. Method Dissection was performed in 44 upper extremities (21 right and 23 left) of 24 fixed cadavers used for medical education at Istanbul University, Istanbul Medical Faculty, Department of Anatomy. Results Profunda brachii artery was found to be a single artery in 39 extremities and a double artery in 5 extremities. In 27 cases with single PBA, the nerve was located superolateral to the PBA (Type A), and in 8 cases the nerve was located inferomedial to the PBA (Type B). In all 5 extremities with double profunda brachii artery, the proximal branch was superolateral (Type A) and the distal branch was inferomedial (Type B). Conclusions This research will support surgeons understanding how to better anatomically and radiologically treat humeral fractures and lateral arm flap applications.

Background/Aim: Lung cancers are malignant neoplasms located in the lung tissues. miRNAs are short non-coding RNAs. It is known that miRNA-124 prevents metastasis in lung cancers. The phosphatidylinositol 3-kinases (PI3K) signaling pathway, a basic signaling pathway interconnected with other pathways, is activated during cancer development. This study aimed to compare miRNA-124-5p and PI3K serum levels in patient and control groups. Materials and Methods: miRNA isolated from patient and control serum samples were converted into cDNA. miRNA-124-5p expression was determined using Real-Time PCR and a SYBR GREEN kit. PI3K serum level was determined using the Enzyme-Linked Immunosorbent Assay. Results: While miRNA-124-5p serum level was statistically significantly lower in the patient group (p>0.02), serum PI3K level was higher in the patient group than in the control group but the difference was not statistically significant (p>0.11). Conclusion: Lower serum levels of miRNA-124-5p and high PI3K levels observed in the patient group, compared to the control group, may be associated with a poor disease prognosis.

Achieving sustainable consumption and production is a key challenge in emerging markets. Consumer behavior theories from developed countries often fail to explain consumer behaviors in these regions (Mahrous, 2019; Yarimoglu & Binboga, 2019). Although social media influencers impact consumer attitudes, more research is needed on greenfluencers in emerging markets for sustainable communication. Social media can play a crucial role in fostering responsible consumption by increasing environmental awareness. This study analyzes Instagram posts from 18 greenfluencers in Türkiye and the U.S. from October 2023 to October 2024, identifying themes such as zero waste and sustainable lifestyles that promote sustainable consumption. The findings indicate that Türkiye addresses a wider range of sustainability topics than the U.S., focusing more on zero waste, sustainable cosmetics, and lifestyle. In contrast, the U.S. emphasizes plant-based food and eco-friendly practices. The results contribute valuable insights to the literature and offer guidance for sustainable marketing strategies across different countries.

Background This study aimed to evaluate the fracture resistance of immediate and delayed restorations after root canal treatment (RCT). Methods Sixty human intact premolar teeth were used. Teeth were prepared disto-occlusally. After RCT, teeth were randomly divided into two groups according to restoration times (immediate or 3 months delayed). The three month delay was imitated by thermomechanical aging. Then, samples were divided into six subgroups ( n = 10). While I (Composite resin), II (Flowable bulk-fill) and III (Ribbond+Flowable bulk-fill) were restored immediately, Groups IV, V and VI were restored with temporary filling material and stored in distilled. After subjected to thermo-cycling (2,500 cycles, 5–55 °C) and exposed to 60,000 cycles in a chewing simulator, Group IV (Composite resin), V (Flowable bulk-fill) and VI (Ribbond+Flowable bulk-fill) were restored. All of the teeth were fractured on the universal testing machine. Failure modes were analyzed using scanning electron microscope. Data were analyzed using the Shapiro-Wilk and two-way ANOVA tests (p < 0.05) . Results The highest fracture resistance was recorded in Group III while the lowest in Group VI. No statistically significant difference was observed among groups ( p > 0.05). Most of the repairable fractures were seen in Groups I and II. Conclusion Delaying the permanent restorations of teeth for 3 months did not affect fracture resistance. However, it was suggested to avoid delaying restorations for obtaining repairable surfaces.

Objectives The aim of this study was to investigate the marginal, internal, and occlusal discrepancies of three-unit posterior cobalt-chromium (Co-Cr) fixed dental prostheses (FDPs) produced using five different fabrication techniques. Materials and methods Segmental maxillary models were prepared from polyamide material using a laser sintering method. The maxillary first premolar and first molar teeth were prepared to receive posterior FDPs. Direct metal laser sintering (DMLS) and selective laser melting (SLM) were used as two metal laser Co-Cr framework production systems. FDP specimen patterns were prepared by manual wax carving (Cast), 3D-printed polymer (3DP), and CAD/CAM wax and cast using the lost-wax technique as conventional methods. In total, 100 Co-Cr metal framework specimens were prepared for posterior FDPs (n = 20). The silicone replica technique was used to measure marginal, internal, and occlusal discrepancies of all frameworks. A stereomicroscope was employed to detect discrepancies at 100× magnification. The data were analyzed using two-way ANOVA (α = 0.05) and post hoc Bonferroni adjustment (α = 0.005) for pairwise comparisons. Results There were no significant differences between the occlusal discrepancy values of premolar abutments of FDPs when compared with different fabrication methods (P > 0.05). The highest marginal discrepancy value was detected as 116.22 μm for molar abutment when the Cast method was used (P < 0.05). The highest occlusal discrepancy values were detected as 135.60 μm and 141.49 μm for molar abutments of posterior FDPs when the 3DP and Cast methods were used. The lowest marginal discrepancy value was detected as 38.94 μm for molar abutments when the DMLS method was used (P < 0.05). Conclusions The DMLS method was more successful than other fabrication methods when fit values of abutment teeth for posterior frameworks were compared. Clinical relevance The morphology of the abutment teeth and the fabrication techniques of FDPs migth affect the discrepancy values of FDPs planned. It was seen that the discrepancy values were lowest with the DMLS and SLM methods. Considering the results of this in-vitro study, DMLS and SLM techniques may be more appropriate option than the 3DP method, which starts with digital design and ends conventionally casting technique for posterior three-unit FDPs.

A novel lytic bacteriophage, PSA-KC1, was isolated from wastewater. In this study, the whole genome of the bacteriophage PSA-KC1 was analyzed, and its lytic properties were assessed. PSA-KC1 has a linear double-stranded DNA genome with a total length of 43,237 base pairs and a GC content of 53.6%. In total, 65 genes were predicted, 46 of which were assigned functions as structural proteins involved in genome replication, packaging or phage lysis. PSA-KC1 belongs to the genus Septimatrevirus under the Caudoviricetes class. The aim of this study was to investigate the efficacy of the lytic bacteriophage PSA-KC1 and compare it with that of the Pyophage phage cocktail on 25 multi drug resistant (MDR) Pseudomonas aeruginosa strains isolated from sputum samples of cystic fibrosis patients. Seventeen of these strains were susceptible (68%) to the PSA-KC1 lytic phage we isolated, whereas eight clinical strains were resistant. However, 22 (88%) of the P. aeruginosa strains were susceptible to the Pyophage cocktail, and three (12%) were resistant to the Phage cocktail. At the end of our study, a new lytic phage active against multidrug-resistant P. aeruginosa strains from CF patients was isolated, and its genome was characterized. Since the PSA-KC1 phage does not contain virulence factors, toxins or integrase genes, it can be expected to be a therapeutic candidate with the potential to be used safely in phage therapy.

In this research article, we investigate a COVID-19 model of fractional-order defined in terms of functional shape with square root susceptible-infected interaction. Firstly, we simulate the positivity and boundedness of the solution and then calculate the nature of equilibria. For exploring the dynamics of investigated fractional-order model, we use the Hurwitz criterion and then a graph theoretical method for the derivation of a Lyapunov function. For the given model, a unique solution exists under the results of the fixed-point theory. We use the Harr wavelets method to derive the numerical solution of the investigated model. As a result, some graphical illustrations are used to ensure the theoretical results, which indicates the good agreement between numerical illustrations and theoretical findings. The motivation of this article is to show how the given square root susceptible-infected interaction model effectively explores the outbreaks of COVID-19 at various fractional-order values. The inclusion of the Caputo fractional derivative incorporates the memory effects in the proposed model.

In a series of our papers ( e . g ., A.L. Kholmetskii, et al. Ann. Phys . 392 , 49 (2018)) we proposed to redefine the momentum operator for an electrically charged quantum particle in an electromagnetic (EM) field through the sum of its mechanical momentum ( P M ) and the interactional electromagnetic momentum ( P EM ), instead of the standard definition of this operator, associated with the canonical momentum of the particle. In the present contribution, we represent our three-step way to the new momentum operator and focus on one of its principal implications, named the “generalized Heisenberg uncertainty relation”, where, in comparison to its standard form, the mechanical momentum of a charged particle P M is replaced by the sum of P M and P EM . We then apply the generalized uncertainty relation to the analysis of the Fermi motion of quarks in the proton and neutron and show that a quark with a unique charge ( i.e ., the d -antiquark in the proton and the u -antiquark in the neutron) should have a more narrow momentum distribution compared to the wider momentum distribution of the remaining quarks (the two u -quarks in the proton and the two d -quarks in the neutron) in their Fermi motion. The agreement of these results with the available experimental data does not touch the validity of the results of calculation of quantum chromodynamics (QCD) regarding the description of the proton and neutron, but rather enriches their physical interpretation.

Background Chronic neck pain (CNP) does not have a direct effect on breathing, but movements are restricted due to pain, and kyphotic posture may make movement of the diaphragm difficult. Objective This study aimed to determine the effects of neural mobilization (NM) on respiratory functionss in patients with chronic neck pain. Methods Overall, 26 patients with CNP were randomly assigned to two groups: NM (10 sessions) or control. In these participants, pain intensity was first assessed using a Visual Analog Scale (VAS). Next, the active range of motion (ROM) of the cervical joint was measured. Following this, respiratory function was evaluated using spirometry, which included parameters such as Forced Expiratory Volume in 1 s (FEV1), Forced Vital Capacity (FVC), and the FEV1/FVC ratio. Finally, neck awareness was assessed using the Fremantle Neck Awareness Questionnaire (FreNAQ). Results There was a significant difference in terms of pain intensity (p < 0.05) and range of motion of the neck joint in both groups after treatment (p < 0.05). In addition, there was a significant difference between the two groups in terms of respiratory function tests (p = 0.001) and neck awareness (p = 0.001). Conclusion The results of our study suggest that the use of NM treatment in addition to conventional physiotherapy in patients with chronic neck pain has beneficial effects on respiratory functions, joint range of motion, pain, and neck awareness.

We analyze general expressions for the quantum phases of dipoles and pointlike charges in an electromagnetic field, applying the strong relativistic limit and using the principle of superposition of quantum phases first proposed in Kholmetskii and Yarman (EPL 120: 40007, 2017). This way we derive a new expression for the AB phase of electrically charged particles, which is both gauge-invariant and Lorentz-invariant, and discuss its implications.

Background Osteoarticular infections caused by Candida , especially the lusitaniae subspecies, are extremely rare in an immunocompetent host. The optimal management of Candida osteomyelitis treatment is not clearly defined but most guidelines advise prolonged antifungal therapy in addition to surgery. Case presentation: In this report, we aimed to present our experience with Candida lusitaniae osteomyelitis in an immunocompetent patient in light of a brief literature review. To the best of our knowledge, it is the third report of C. lusitaniae osteomyelitis in the English literature. Conclusions We want to highlight rare osteomyelitis agents like C. lusitaniae and the importance of careful microbiological identification. We also observed that antifungal treatment with fluconazole and surgical debridement were effective in accordance with the treatment recommendations in the literature and as in the other cases.