Van Yüzüncü Yıl University Research Information System
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OKUL SPORLARININ ÖĞRENCİLERİN İNTERNET BAĞIMLILIK DURUMLARI ÜZERİNE ETKİLERİNİN İNCELENMESİ
No full textMechanistic Analysis of Decabromodiphenyl Ether-Induced Neurotoxicity in Humans Using Network Toxicology and Molecular Docking
No full textCommercial decabromodiphenyl ether (c-decaBDE) is a widely used additive flame retardant in textiles and plastics. This formulation predominantly consists of the congener BDE-209, with trace amounts of other brominated diphenyl ether congeners, such as nonabromodiphenyl ether and octabromodiphenyl ether. Recognized as a persistent organic pollutant due to its potential for long-range environmental transport, c-decaBDE poses significant environmental threats and serious human health risks, including endocrine, reproductive, developmental, and neurotoxic effects. The mechanisms underlying its neurotoxicity remain largely undefined. This study investigates the neurotoxic effects of BDE-209 in humans through network toxicology, multi-level bioinformatics approaches, and molecular docking analyses. Prediction results indicate that BDE-209 can cross the blood-brain barrier, entering the central nervous system and inducing neurotoxic effects. A comprehensive analysis has identified 294 potential targets linked to the neurotoxicity induced by BDE-209. Gene-gene interaction and pathway enrichment analyses revealed significant associations related to cellular responses to chemical stress and synaptic transmission. Further investigation of protein-protein interactions, combined with centrality analysis, identified 14 hub targets, including CaMK-II alpha, PSD-95, GluR-1, and GluN2B, as key proteins in this process. Molecular docking results indicate that BDE-209 exhibits a stronger binding affinity to GluN2B, a subunit of the N-methyl-D-aspartate (NMDA) receptors, compared to other key targets. These findings suggest that BDE-209 may disrupt the function of GluN2B-containing NMDA receptors, potentially leading to their inhibition. Such inhibition could result in reduced excitatory neurotransmission, impairing synaptic potentiation and plasticity, and ultimately contributing to neurotoxicity
Representation of solutions to tempered delayed ψ-fractional systems with noncommutative coefficients
No full textThis paper focuses on deriving explicit solutions for tempered delayed fractional differential systems that utilize Caputo fractional derivatives in relation to another function. To achieve this, we define tempered ψ-delayed perturbations of Mittag-Leffler type functions and explore their ψ-Laplace transforms. Additionally, we discuss theorems related to shifting and time-delay in the context of ψ-Laplace transforms. Utilizing the tempered ψ-delayed perturbational function, we establish a representation of explicit solutions for the system through the Laplace transform method. This representation is validated by demonstrating that it satisfies the system, alongside employing the method of variation of constants. Several novel special cases are introduced, and a numerical example is provided to demonstrate the practical application of the results obtained
YÜZEY KORUYUCU REÇİNENİN KAPİLER SU EMME ÖZELLİĞİ ÜZERİNE ETKİSİ: NEVŞEHİR İGNİMBİRİTİ ÖRNEĞİ
No full textA comparison of economic complexity in Türkiye and OECD countries: new data based on industrial products
No full textPurpose: This study aims to analyse Türkiye’s industrial economic complexity index (ECI-IND) for comparison with the ECI-INDs of member countries of the Organization for Economic Co-operation and Development (OECD). It also explores the causal relationship between economic complexity and economic growth in Türkiye. Design/methodology/approach: Empirical analysis was directed at industrial export baskets consisting of 760 product groups distributed by 130 countries. These data were used to calculate the product complexity index (PCI) and ECI-IND values of these countries. The calculations then served as the basis for examining Türkiye’s economic complexity in comparison with that of OECD countries. Finally, the short- and long-term relationships between the ECI-IND and GDP per capita in Türkiye were investigated using a time series analysis. Findings: This study’s findings revealed that Türkiye ranked last in terms of economic complexity. The time series analysis showed unidirectional causality between Türkiye’s ECI-IND and its economic growth. Practical implications: Türkiye should concentrate on ensuring the convergence of its ECI with those of developed countries. Based on the existing literature, it is important for Türkiye to implement policies that (1) increase human capital, (2) expand the share of R&D expenditures out of the GDP and (3) attract foreign direct investments, which advance technology transfer. Originality/value: This study inquired into the ECI based on industrial products in Türkiye and accordingly provided new data on countries. It also compared Türkiye and OECD nations with respect to this index
The revealing of the Cyto-genotoxic properties (Allium and MTT) and the effect of chicken meat quality of characterized zein-eugenol nanofibers
No full textElectrospun zein-based eugenol nanofibers (ZEnF) with diameters (148.19–631.52 nm) were fabricated. Thermal degradation was found as <15 % until 300 °C while the nanofiber diffraction pattern presented three main peaks among the 5o and 45o positions. ZEnF was not only evaluated as non-toxic to cells but also possessed anticancer characteristics revealing with the MCF-7 cell line at 800 μg/mL (reduction: 18.08 %) and 1600 μg/mL (reduction: 41.64 %). Allium tests revealed that ZEnF did not have any adverse impact on the health status (chromosomes-DNA) of exposed organisms. Following the nanofiber coating for chicken meat parts (thigh and breast), it was observed up to 1.25 log CFU/g limitation in total viable bacteria counts (p < 0.05). The sensory score (difference: 3.64 in 10 points scoring on the 6th day of the cold storage) and odor score of chicken meat samples were found to be as higher than control samples (p < 0.05)
First voltammetric procedure for sensing synthetic thyroid hormone liothyronine sodium in tablet dosage form using anionic surfactant media at a boron-doped diamond electrode
No full textIn this study, the voltammetric sensing of liothyronine sodium (LT3Na) was assessed using a boron-doped diamond (BDD) electrode, which had undergone electrochemical pretreatment to improve its surface activity. Cyclic voltammograms of LT3Na revealed well-defined, single, irreversible behavior that is governed by a dual mechanism of adsorption and diffusion at around +1.16 V (vs. Ag/AgCl) in 0.1 mol L−1 H2SO4 solution. The oxidation peaks of LT3Na were studied using various electrolyte solutions, including Britton-Robinson buffer (0.04 mol L−1, pH 2–10), phosphate buffer (0.1 mol L−1, pH 2.5 and 7.4), acetate buffer (0.1 mol L−1, pH 4.7), and 0.1 mol L−1 solutions of HNO3, H2SO4, and HClO4, by square wave adsorption stripping voltammetry. The results showed that the oxidation peaks of LT3Na were pH-dependent across the range of 5.0 to 9.0; however, the optimal peak was observed in the H2SO4 solution. Introducing a sodium dodecyl sulfate (anionic surfactant, SDS) into the working electrolyte enhanced the anodic peak currents of LT3Na. A linear correlation for the quantification of LT3Na was obtained at +1.05 V in a 0.1 mol L−1 H2SO4 solution containing 4 × 10−4 mol L−1 SDS, under optimized conditions (vs. Ag/AgCl) (using open-circuit condition in 30 s accumulation step). The linear range spanned from 0.5 to 30.0 μg mL−1 (7.4 × 10−7–4.5 × 10−5 mol L−1), with a detection limit of 0.15 μg mL−1 (2.2 × 10−7 mol L−1). The LT3Na concentration in the drug formulation was successfully quantized using this method. According to our knowledge, this is the initial study to present an electrochemical analysis of this compound
A review of energy storage systems for facilitating large-scale EV charger integration in electric power grid
No full textThe swift increase in electric vehicle (EV) into modern power grids presents both significant opportunities and challenges, particularly in maintaining power quality (PQ) and managing peak loads. This review synthesizes current research, providing a comprehensive analysis of the pivotal role of energy storage systems (ESS) in enabling large-scale EV charger integration while addressing critical PQ issues. A key contribution is the comparative evaluation of various ESS typologies—battery ESS (BESS), hybrid ESS (HESS), and distributed ESS (DESS)—each offering distinct advantages in mitigating PQ challenges such as harmonic distortion, voltage regulation, and peak demand control. Ensuring compliance with IEEE-519 standards is emphasized as vital for maintaining grid reliability and high PQ standards. This review paper further examines the diverse impacts of plug-in electric vehicles (PEVs) on power grids, including their charging and storage characteristics, which influence grid stability and efficiency. It highlights the transformative potential of vehicle-to-grid (V2G) technology, which facilitates bidirectional power flow to support grid stabilization, energy balancing, and ancillary services. Additionally, it addresses the mitigation of harmonic distortion from PEV charging, preserving transformer performance and lifespan, and explores strategies to manage large-scale PEV integration through predictive and adaptive control techniques. This study introduces innovative approaches to improving grid recovery following disturbances and evaluates the synergistic integration of renewable energy sources with PEVs to foster sustainable energy systems. Models for PEV interaction with microgrids are also discussed, emphasizing their role in enhancing energy resilience and grid flexibility. This paper underscores the critical role of advanced energy management strategies (EMS) in optimizing EV-grid integration and improving overall system efficiency. These strategies include rule-based EMSs employing fixed rules, fuzzy logic, and wavelet transforms; optimization-based EMSs utilizing techniques such as dynamic programming, genetic algorithms, model predictive control, and particle swarm optimization; and intelligent EMSs leveraging neural networks and reinforcement learning for adaptive and predictive control. By outlining innovative solutions and highlighting the importance of strategic collaboration among utilities, policymakers, researchers, and technology developers, this review provides a comprehensive roadmap for overcoming the technical, economic, and regulatory challenges associated with EV charger integration, laying the groundwork for a reliable, efficient, and sustainable energy future
Ameliorative effects of chitosan on fluoride-induced kidney injury in rats: a stereological and immunohistochemical study
No full textAbstract: The present study aimed to investigate the possible protective effects of chitosan (CS) on fluoride-induced nephrotoxicity. 28 rats were divided into four groups (n = 7). The Control group received drinking water. Sodium fluoride (NaF) group received 100 mg/L NaF in drinking water. NaF + CS group received 100 mg/L NaF and 250 mg/kg/day CS by gastric gavage. CS group was given 250 mg/kg/day CS by gavage. The study period lasted 12 weeks. Total kidney volume, Bowman’s capsule volume, Bowman’s space volume, Tubular volume and Glomerulus volume were measured by stereological methods. Immunohistochemically, caspase-3 and TNF-alpha expressions were evaluated. Biochemically, levels of urea and creatinine were measured. In addition, a histopathological evaluation of the kidney was performed. According to the control group, an increase was observed in all stereological parameters except glomerulus volume in the NaF group. CS treatment inhibited the increase in stereological parameters. Fluoride increased expressions of caspase-3 and TNF-α in the kidney, and serum urea and creatine levels, but CS decreased these parameters. In addition, pathological changes in the kidney caused by fluoride such as tubular dilatation, enlargement of the Bowman’s space, and deterioration in tubular epithelial cells were restored with CS treatment. The conclusions of the current study reveal that fluoride can cause nephrotoxicity and CS treatment can prevent fluoride-induced nephrotoxicity