Sürdürülebilir Kalkınma Amaçları

Yazarlar

  • MakaleAçık Erişim2024
    ASSESSMENT OF URBAN FLOOD RISKS OF THE CITIES USING ENTROPY-VIKOR METHODS IN TURKIYE

    Derse, Onur; Polat, Elifcan Gocmen

    In recent years, there is growing interest for evaluation of urban flood risks of cities over the past decade due to rapid urbanization and climate change. The optimal flood risk assessment is strategically achieved not only with classical risk modelling approaches but also with holistic and comprehensive framework. This paper focuses on a detailed flood assessment providing risk database for policymakers and urban planners to decide the flood prone areas in Turkey. In this context, the Entropy based VIKOR (VIseKriterijumska Optimizacija Kompromisno Resenje) was provided to evaluate a range of flood risk criteria named number of floods, population density and number of buildings, flood protection area which are under the concept of risk dimension including hazard, exposure and vulnerability aspects. Computational results demonstrate that the provinces of & Scedil;anl & imath;urfa, Ordu, Zonguldak and Van are assigned with higher urban risk values, respectively and the ranking of the cities was presented with different q values. The findings should support practitioners and researchers for land use planning and risk reduction works as the detailed flood risk evaluation was presented in terms of the flood management.

    • SDG 11 · Sürdürülebilir Şehirler ve Topluluklar
    AtıfWoS4OpenAlex5
    Web of ScienceTR Dizinİncele
  • MakaleAçık Erişim2024
    Anti-inflammatory activity of a novel lectin isolated from Pleurotus eryngii var. ferulae mushroom

    Seliman, Thoiba Mogahid Hussein; Ülbegi, Gulsum Altiparmak; Ozsoy, Nurten; Kavlo, Hevidar Alp; Sagirli, Pinar Aksoy

    Background and Aims: Pleurotus species are edible mushrooms with important economic and medicinal value. Many pharmacological properties of these species, such as anticancer, immunomodulating, and anti-inflammatory activities, have been attributed to lectin. The aim of this study was to purify a novel lectin from Pleurotus eryngii var. ferulae (PEFL) and investigate its anti-inflammatory activity. Methods: PEFL was purified by 80% ammonium sulphate fractionation, diethylaminoethyl (DEAE)-Sepharose-4B anion exchange, and Sephadex G-100 gel filtration chromatography. The molar mass of the purified lectin was determined by sodium dodecyl sulphate-polyacrylamide gel electrophoresis (SDS-PAGE) under denaturing conditions. Inhibition of lectin-induced haemagglutination by several carbohydrates and one glycoprotein (ovalbumin) was also performed using the haemagglutination inhibition activity test. The anti-inflammatory effect of PEFL was tested in a lipopolysaccharide (LPS)-induced inflammation model in mouse macrophage cells (RAW 264.7). The levels of prostaglandin (PG)-E2, tumour necrosis factor-alpha (TNF-alpha), interleukin1-beta (IL-1 beta), interleukin-6 (IL-6), interleukin-10 (IL-10), and interferon-gamma (IFN-gamma) were determined using enzyme-linked immunosorbent assay (ELISA) kits. Furthermore, the expression of nitric oxide synthase (iNOS) and cyclooxygenase-2 (COX-2) was estimated by western blot analysis. Results: PEFL was obtained in 16% yield. The specific activity of PEFL was calculated as 1280 haemagglutinating units (HU)/mg protein and was inhibited only by D-galactose. The molecular weight was determined to be 46 kDa. PEFL showed an anti-inflammatory effect by reducing the production of pro-inflammatory PGs through COX-2 inhibition, as well as reducing iNOS expression. Furthermore, our findings reported that PEFL has a protective effect on inflammation by decreasing the production of pro-inflammatory cytokines and increasing the production of the anti-inflammatory cytokine (IL-10). Conclusion: The results suggest that PEFL can be considered as a potential therapeutic agent in the development of new therapeutic strategies for inflammatory diseases.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
    AtıfWoS1OpenAlex2
    Web of ScienceTR Dizinİncele
  • MakaleAçık Erişim2024
    An Exploratory Study on the Application of Blockchain Technology to the Chinese Ship Auction Market

    Peng, Chen; Alatas, Bilal

    The Chinese ship trading market has undergone remarkable development, transitioning into a global exemplar of ship transactions. Nevertheless, this market continues to confront a series of challenges, encompassing low transaction rates, delayed transaction values, and market instability. Blockchain, with its secure, transparent, and tamper-resistant technological features, presents a potential solution for the ship trading market. Through its decentralized architecture, blockchain technology can reduce platform operational costs, enhancing market competitiveness. Concurrently, the utilization of asymmetric encryption technology can enhance the security of platform data, effectively addressing privacy concerns. Furthermore, through a sharing mechanism, blockchain can aid in establishing a unified credit evaluation system, thereby increasing market trust to address the absence of a credit evaluation system. Moreover, blockchain technology can be employed to construct a risk identification mechanism, fortifying the platform's regulatory model to address regulatory deficiencies.

    • SDG 9 · Sanayi, Yenilikçilik ve Altyapı
    AtıfWoS1OpenAlex2
    Web of Scienceİncele
  • MakaleAçık Erişim2024
    Effect ofthe Practice of Guided Imagery on the Perceived Stress Level in High-Risk Pregnancies

    Dal, Nursel Alp; Beydag, Kerime Derya; Dogan, Aysel

    Objective: This research was conducted to identify the effect of the practice of Guided Imagery on the perceived stress level in high-risk pregnancies. Methods: The study was designed as a prospective, randomized, and single-blind study. The research was performed with the participation of a total of 128 women (64 in the experimental group, 64 in the control group) who had high-risk pregnancies between February-May, 2021. The data were evaluated with the Perceived Stress Scale. Results: The experimental group obtained a lower mean of post -test scores (26.36 +/- 5.96) from the Perceived Stress Scale than the control group (30.48 +/- 3.93), and this difference was statistically significant (p<.05). Also, the experimental group obtained lower mean scores from the Perceived Stress Scale in the post -test phase than the one in the pretest phase, and this difference was statistically significant (p<.05). Conclusion: Nurses and midwives should include the practice of Guided Imagery in the care processes to reduce the stress levels of women with high-risk pregnancies.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
    AtıfWoS1OpenAlex3
    Web of ScienceTR Dizinİncele
  • MakaleAçık Erişim2024
    Role of Gate Type in the Air-Demand Ratio in Closed Conduits

    Aydin, A. B.; Baylar, A.; Ozkan, F.; Tuna, M. C.; Ozturk, Mualla

    Sluice and radial gates are common devices used to control flow in closed conduits. In high-head gated conduits, the high-velocity flow exiting the gate drags and entrains a lot of air. If the air demand of the flow is not met, the pressure drop downstream of the gate will cause structural damage or cavitation. Typically, an air vent is installed immediately downstream of the gate to supply sufficient air to the flow. In this study, the effect of the conduit gate type on the air-demand ratio was investigated. The results showed that the gate type had a very significant effect on the air-demand ratio. Significantly higher air-demand ratios were observed in the conduit with a sluice gate compared to the conduit with a radial gate. The results obtained will be useful in future modeling and design processes.

    AtıfWoS1OpenAlex1
    Web of Scienceİncele
  • MakaleAçık Erişim2024Scopus SJRQ1
    Mechanical, wear and thermal properties of natural fiber-reinforced epoxy composite: cotton, sisal, coir and wool fibers

    Tasgin, Yahya; Demircan, Gokhan; Kandemir, Seckin; Acikgoz, Abuzer

    Natural fiber-reinforced epoxy composites (NFRCs) have gained significant attention in recent years due to their potential as environmentally friendly and sustainable materials. These composites combine natural fibers, derived from plants, with epoxy resins to create a material with enhanced properties. The objective of this study is to investigate the mechanical, wear and thermal properties of NFRCs incorporating cotton, sisal, coir and wool fibers. The vacuum-assisted resin transfer molding (VARTM) technique was employed to produce composite plates, followed by conducting tests on tensile, wear and thermal properties. The cotton composite showcased the highest tensile strength, reaching 52.81 MPa, while the coir composite exhibited the lowest, measuring 15.34 MPa. Sisal composite exhibited a moderate wear rate (1.423 mm3/Nm) and a lower coefficient of friction (0.233), implying smoother relative motion. Coir composite presented the highest wear rate (4.615 mm3/Nm), attributed to its coarse fiber nature. Thermal conductivity is highest at cotton composite (1.017 W/mK) and is lowest at coir composite (0.187 W/mK). Additionally, the highest specific heat was observed in the coir composite (26.313 MJ/m3K). Cotton demonstrated potential for efficient heat transfer, while wool outperformed in insulation. Sisal displayed versatility for structural applications. Coir emerged as an effective insulator with energy-saving applications.

    • SDG 12 · Sorumlu Üretim ve Tüketim
    AtıfScopus101WoS83OpenAlex102
    ScopusWeb of Scienceİncele
  • MakaleYalnız künye2024Scopus SJRQ2
    Deep learning-assisted Hubble parameter analysis

    Salti, Mehmet; Kangal, Evrim Ersin; Zengin, Bilgin

    We turn our attention on evaluating the most recent Hubble parameter data measured via the differential evolution of cosmic-chronometers from a deep learning perspective. To achieve this goal, we start our investigation by introducing the selected theoretical setup and compiling the most recent statistical data obtained in cosmology experiments. Then we implement a tuned version of the long-short term memory (LSTM) architecture and run it to predict possible values of the Cosmic Hubble parameter for different red-shift states. Since we observe a good correlation between the observed and predicted datasets of the Hubble parameter, we conclude that the machine learning approaches can play important roles in the future cosmology investigations.

    AtıfScopus2WoS2OpenAlex2
    ScopusWeb of Scienceİncele
  • MakaleYalnız künye2024Scopus SJRQ1
    The effect of high entropy oxide on radiation shielding parameters of erbium oxide doped glasses

    Kanca, M. Sait; Taşgın, Yahya; Yılmaz, Demet; Pathman, Abdul Fatah; Güler, Ömer

    High-entropy materials are one of the most studied topics in recent years due to the extraordinary properties they exhibit. High entropy oxide (HEO) is a group of materials that have been studied for different applications. However, the effects of HEOs on the radiation properties of glasses are not well known. In this study, the structural, radiation and neutron shielding properties of SiO2 glass systems doped erbium oxide reinforced with refractory high entropy oxide (RHEO) with the formula TiMoNbTaWZrO11 were investigated. RHEAs used in the study were produced and characterized in our laboratory. Then, they were added to the glass samples at different rates together with Erbium oxide. As a result of SEM-EDS and XRD analyses, it was determined that the additives were distributed very homogeneously on the glass. The composition of glass systems is [95SiO2+(5-x)Er2O3+x TiMoNbTaWZrO11], where (x = 0, 0.5, 1 and 2 %, mol). The linear and mass attenuation coefficients (LAC and MAC), mean free path (MFP), half-value layer (HVL) and effective atomic numbers (Zeff) and effective electron density (Nel) of the glass structures were experimentally measured at the energy region of 53.16–661.62 keV. Also, the equivalent dose rates due to fast neutrons absorption were measured by using an 241Am–Be fast neutron source. Exposure buildup factor (EBF) and fast neutron removal cross section (ΣR) were theoretically determined. The proton and alpha shielding parameters of glasses were calculated. It is observed that glasses containing higher amounts of refractory high entropy oxide, within the SiO2–Er2O3 composition, demonstrated enhanced capabilities for shielding against radiation and neutrons.

    AtıfScopus15WoS15OpenAlex17
    ScopusWeb of Scienceİncele
  • MakaleYalnız künye2024Scopus SJRQ1
    Nutrification and fat reduction of deep-fried protein isolates

    Erol, Nida Demirtas; Cakli, Sukran; Szymczak, Mariusz; Shen, Cangliang; Matak, Kristen E.; Jaczynski, Jacek

    Deep-fried (DF) foods are considered nutritionally-inferior due to increased fat content, although they are popular with consumers due to desirable sensory characteristics. This study attempted to reduce fat of DF surimi, DF fish-protein-isolate (FPI), and DF chicken-protein-isolate (CPI) by pre-baking or pre-roasting. Surimi, FPI, and CPI were also nutrified with ω-3-rich oil, fiber, and KCl-based salt substitute. Pre-baking decreased (p < 0.05) fat content, while pre-roasting increased (p < 0.05) it. Pre-baking resulted in less (p < 0.05) changes to cook loss, moisture loss, expressible moisture, water-holding-capacity, whiteness, and texture when compared to pre-roasting. Pre-baking also better maintained ω-3 PUFAs concentration than pre-roasting, resulting in higher (p < 0.05) concentration of α-linolenic (ALA, 18:3ω3), eicosapentaenoic (EPA, 20:5ω3), and docosahexaenoic (DHA, 22:6ω3) FAs as well as unsaturated FAs and total ω-3 FAs in DF surimi, DF FPI, and DF CPI. Pre-baking in combination with nutrification using ω-3 PUFAs improved nutritional value of DF foods, while causing minimal quality changes.

    • SDG 2 · Açlığa Son
    AtıfScopus3WoS3OpenAlex3
    ScopusWeb of SciencePubMedİncele
  • BildiriYalnız künye2024
    Exploring Triboelectric Properties in Sputtered Si(100)/SiO2/Cr/ZnO Thin Films - Ag/FEP Using Contact Speration Technique for Renewable Energy Harvesting

    Yüzüak, Gizem Durak; Benhala, B.; Raihani, A.; Qbadou, M.

    Currently, there is an ongoing inquiry into triboelectric nanogenerators (TENG), which use the triboelectric phenomenon to capture electrical energy from mechanical vibrations. The work aims to figure out the magnetron sputtered Cr/ZnO-based films on SiO2/Si(100) substrates with the construction of a Cr/ZnO-Ag/FEP tribo-based nanogenerator (TENG) and a specific emphasis on measuring TENG properties. The structural investigation of these films was conducted using X-ray diffraction (XRD) photoluminescence (PL), attenuated total reflectance fourier-transform infrared spectroscopy (AT-FTIR), and current - voltage (I-V) analysis in contact-separation mode (CSM). The Cr/ZnO-Ag/FEP TENG has a notable instantaneous maximum output voltage of around 63 V and a current density of 7 μA/cm2 when compared to other nanogenerators based on semiconductors, as determined by a comparative analysis. The results of this study provide useful information on the possible application of optimized magnetron sputtered Cr/ZnO-based films in triboelectric and energy harvesting systems, which might contribute to the progress of sustainable and renewable energy technologies.

    • SDG 7 · Erişilebilir ve Temiz Enerji
  • MakaleAçık Erişim2024Scopus SJRQ2
    Effects of Ga, Nb, V, Zr, and Cr on the crystal structures and thermal behavior of CuAlMn shape memory alloys

    Özkul, İskender; Karaduman, Oktay; Canbay, Canan Aksu

    CuAlMn alloys are cheaper and more promising alloy types compared to NiTi alloys. In this study, based on CuAlMn shape memory alloy, thermodynamic and structural characteristics of some new alloys containing four elements were investigated in detail. In this study, five new quaternary shape memory alloys, each containing a CuAlMn base alloy and a different fourth additive element (Ga, Nb, V, Zr, and Cr), were produced. The properties of the obtained alloys were characterized using a series of analysis methods such as X-ray diffraction (XRD), optical microscopy, differential scanning calorimetry (DSC), and differential thermal analysis (DTA). The results showed the effects of different elements on the crystal structures of the alloys and how different elements could change the thermal behavior of the alloys.

    AtıfScopus4WoS3OpenAlex6
    ScopusWeb of Scienceİncele
  • MakaleAçık Erişim2024Scopus SJRQ2
    Is Cladophora fracta an efficient tool of accumulating critical raw materials from wastewater and there a potential health risk of use of algae as organic fertilizer?

    Arslan Topal, E. Işıl; Öbek, Erdal; Topal, Murat

    In this study investigation of accumulations of critical raw materials (cobalt (Co), antimony (Sb), vanadium (V), lanthanum (La) and tungsten (W)) from wastewater by using C. fracta were aimed. Besides, assessment of the potential health risks in terms of the use of organic fertilizer obtained from the macroalga to be harvested from the treatment were also aimed. Highest Co, Sb, V, La and W accumulations by algae in reactor were 125±6.2%, 201.25±10%, 318.18±15%, 357.97±18%, and 500±25%, respectively. When compared with control, Co, Sb, V, La and W in algae increased 2.25, 3.01, 4.18, 4.58, and 6 times, respectively. The algae was very high bioaccumulative for Co and La. Highest MPI was calculated as 3.94. Non-carcinogenic risk of CRMs according to different exposure types (ingestion, inhalation, and dermal) were calculated for man, woman and child. There is not any non-carcinogenic risk from the investigated exposure ways of algae as organic fertilizer.

    • SDG 6 · Temiz Su ve Sanitasyon
    • SDG 12 · Sorumlu Üretim ve Tüketim
    AtıfScopus2WoS2OpenAlex2
    ScopusWeb of SciencePubMedİncele
  • MakaleYalnız künye2024Scopus SJRQ2
    Synthesis and characterization of TiNbZrMo medium-entropy bio-composites: Microstructure, mechanical properties, and in vitro degradation

    Say, Yakup

    This study reports the synthesis and characterization of hydroxyapatite (HA)-based bio-composites reinforced with varying amounts (by weight, 1–15 wt.%) of bio-medium entropy alloy (BioMEA) for load-bearing implant applications. BioMEA powders consisting of Ti, Nb, Zr, and Mo were mechanically alloyed for 100 h and subsequently added to HA using powder metallurgy techniques. To show the effect of BioMEA, the microstructure, density, and mechanical tests have been conducted and the synthesized BioMEA was characterized by scanning electron microscope (SEM), x-ray diffractometer (XRD), and Fourier-transform infrared spectroscopy (FTIR) analysis. In addition, in vitro degradation behavior and bioactivity analyses of bio-composites have been conducted. XRD analysis revealed the formation of BioMEA after 20 h of mechanical alloying. The highest density value of 2.47 g/cm3 was found in 15 wt.% BioMEA-reinforced bio-composite. The addition of BioMEA reinforcement led to a significant increase in hardness and tensile strength values, with the highest values observed at 15 wt.% reinforcement. Compression tests demonstrated a significant increase in compressive strength and deformation capability of the bio-composites with the highest values observed at 15 wt.% BioMEA addition. The highest toughness of 7.68 kJ/m2 was measured in 10 wt.% MEA-reinforced bio-composites. The produced bio-composite materials have an elastic modulus between 3.5–5.5 GPa, which may provide a solution to the stress shielding problems caused by the high elastic modulus of metallic implant materials. The most severe degradation occurred in 15 wt.% MEA-reinforced bio-composites, and the effect of degradation caused a decrease in Ca and an increase in Ti-Ni-Zr-Mo in all bio-composites. These findings suggest that HA/BioMEA bio-composites have the potential to be developed as advanced biomaterials with moderate mechanical and biological properties for load-bearing implant applications.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
    AtıfScopus2WoS1OpenAlex3
    ScopusWeb of SciencePubMedİncele
  • MakaleAçık Erişim2024Scopus SJRQ2
    Modeling the growth behavior of Salmonella spp. in grated carrots inoculated with different inoculum levels stored at various temperatures

    Omac, Basri

    The consumption of fresh and fresh-cut fruits and vegetables, such as carrots, has increased for the last decades for a healthy life and an adequate diet, but concerns regarding the microbial safety of them have been raised. The present study was conducted to develop predictive models for Salmonella spp. in grated carrots. The results showed that Salmonella spp. did not display growth at 5°C, but it grew in grated carrots at other temperatures (10, 15, 20, 25, and 37°C) for both inoculum levels. Also, the inoculum levels affected the growth of this pathogen in grated carrots when the storage temperatures ranged from 15 to 25°C. The theoretical minimum temperatures calculated using the Huang model were 3.48 and 5.79°C for inoculum levels of 101 and 102 CFU/g, respectively. The primary and secondary models performed well in terms of agreement between experimental and estimated values. Furthermore, compared to the Ratkowsky model, the theoretical minimum temperature was given a more reasonable value using the Huang model. The models developed in the present study will be a useful input for future quantitative microbial risk assessment to appraise the proliferation of Salmonella spp. in grated carrots throughout the production process, storage, and distribution.

    • SDG 2 · Açlığa Son
    • SDG 3 · Sağlık ve Kaliteli Yaşam
    AtıfScopus4WoS4OpenAlex5
    ScopusWeb of Scienceİncele
  • MakaleAçık Erişim2024Scopus SJRQ1
    The nation’s happiness, women’s altruism and the affective politics of self-blame: Generating a ‘mood of commitment’

    Gülçiçek, Demet

    This article contributes to the growing interest in affect and emotions in sociological research, with a specific focus on ‘mood’, developing the concept ‘mood of commitment’. It approaches political commitment as a mood, an affective lens, a dedication to a greater cause, asking how political commitments might be a low intensity affective relationship, and also a heightening, high intensity rhythm at the same time. I conceptualise ‘mood of commitment’ as an object of analysis that can be engaged to critically understand a wide range of political commitments. This article focuses on the case of Ottoman Muslim women’s movements in the early 20th century, amid the turmoil of nationalist movements and ‘modernisation’ processes. It firstly analyses objects of desires that are circulated to be persuasive in the political movements, and attunement of women’s movements with already existing nationalist movements. It secondly unpacks the kind of work involved in claiming to be in the ‘right’ mood of commitment, emphasising the production of hegemonic positions.

    • SDG 5 · Toplumsal Cinsiyet Eşitliği
    AtıfScopus2WoS2OpenAlex2
    ScopusWeb of Scienceİncele
  • MakaleAçık Erişim2024Scopus SJRQ2
    THE SPECTRUM AND PRINCIPAL FUNCTIONS OF A NONSELF-ADJOINT STURM-LIOUVILLE OPERATOR WITH DISCONTINUITY CONDITIONS

    Kosar, N.P.; Akcay, O.

    This paper deals with the nonself-adjoint Sturm-Liouville operator (or one-dimensional time-independent Schrödinger operator) with discontinuity conditions on the positive half line. In this study, the spectral singularities and the eigenvalues are investigated and it is proved that this problem has a finite number of spectral singularities and eigenvalues with finite multiplicities under two additional conditions. Moreover, we determine the principal functions with respect to the eigenvalues and the spectral singularities of this operator.

  • MakaleYalnız künye2024Scopus SJRQ2
    Investigation of thermal, crystal and magnetic behavior of addition of Nd rare earth element effect on CuAlMn shape memory alloy

    Kanca, Muhammed Sait

    In this study, CuAlMn alloys, a popular Cu-based shape memory alloy, were chosen because they exhibit superior shape memory properties and improved ductility compared to other Cu-based SMAs. The rare earth element Nd (neodymium) was added to CuAlMn alloy at the specified atomic percentages in the composition Cu70-xAl24Mn6Ndx(x = 0,2,4,8) and their thermal behavior, crystal structure, surface morphology and magnetic properties were investigated after fabrication. As a result of the thermal analysis measurements, it was observed that for low Nd ratios, the austenite phase transformation initial temperature of the CuAlMn alloy was increased, while at high Nd ratios, a decrease in the shape memory property was detected. Martensitic phase and precipitate phase α phase were observed in the crystal structure properties of CuAlMn alloys without and with Nd doping. These results were also detected in surface morphology observations. In addition, the crystal size decreased from 135 to 105 nm with Nd doping. As a result of magnetic measurements, CuAlMn ternary shape memory alloy was found to be paramagnetic at room temperature. Magnetic susceptibility values of the alloys showing paramagnetic magnetic properties were calculated as 11.5 × 10–6, 12.5 × 10–6, 9.15 × 10–6 and 6.15 × 10–6 emu.Oe−1.g−1, respectively. According to these results, the magnetic susceptibility value decreased with increasing Nd ratio.

    AtıfScopus3WoS3OpenAlex3
    ScopusWeb of Scienceİncele
  • MakaleAçık Erişim2024Scopus SJRQ4
    Ginkgo biloba L. extract and flunixin meglumine attenuate sepsis– associated liver injury, oxidative stress, inflammation and apoptosis in rats; [El extracto de Ginkgo biloba L. y la flunixina meglumina atenúan la lesión hepática, el estrés oxidativo, la inflamación y la apoptosis asociados a la sepsis en ratas]

    Ak, Tuba Parlak; Gul, Burcu; Yaman, Mine; Seven, Ismail; Dagoglu, Gurdal; Gul, Huseyin Fatih

    Lipopolysaccharide (LPS), known as a stimulant of inflammation, causes acute liver injury by inducing the production of inflammatory mediators and oxidative stress. The purpose of this study is to determine whether of a nonsteroidal anti–inflammatory drug (NSAID) Flunixin meglumine (FM) and herbal an medicine Ginkgo biloba L. extract (GBE) show antioxidative, anti–inflammatory or antiapoptotic effects in liver tissue in LPS–induced hepatotoxicity. Animals were separated to 6 groups as control, sepsis (1 mg·kg-1, 7th day single dose, intraperitoneal (ip)), sepsis + FM (1 mg·kg-1, 7th day single dose, ip + 2.2 mg·kg-1 day, ip), sepsis + GBE (1 mg·kg-1, 7th day single dose, ip + 50 mg·kg-1 day, gavage), FM and GBE and the study continued for 7 days. Liver tissues taken from rats sacrificed were analyzed biochemically, histologically and immunohistochemically. Accordingly, LPS caused liver function markers alteration, inflammation, oxidative stress, and apoptosis, as well as histopathological changes in liver tissue. However, it was observed that LPS–induced changes were regulated by FM and GBE application. FM and GBE was demonstrated to have antioxidant, antiinflammatory and anti–apoptotic properties in LPS– induced hepatotoxicity.

  • MakaleAçık Erişim2024Scopus SJRQ2
    Genotypic diversity and antagonistic activities of enterococci isolated from pastırma

    Ertekin, Özlem; Kaban, Güzin; Kaya, Mükerrem

    The biodiversity of enterococci from pastırma (a traditional Turkish dry-cured meat product) by genotypic identification and the antagonistic activities of strains were investigated. Pastırma samples taken from 20 different small-scale factories were subjected to microbiological and physicochemical analysis. A hundred enterococci isolates were identified by 16S rRNA gene sequence analysis. To determine antagonistic activity of strains, Listeria monocytogenes and Staphylococcus aureus were used. The lactic acid bacteria and Micrococcus/Staphylococcus counts were ≥ 6 log cfu/g in 55% of the samples and 75% of the samples, respectively. Enterobacteriaceae was generally below the detectable level (< 2 log cfu/g). The enterococci count was higher than 6 log cfu/g in 30–35% of the samples, depending on the medium used. The enterococci isolates (100 isolates) were identified as E. faecium (80 strains), E. faecalis (19 strains) and E. hirae (1 strain) in genotypic identification. The nine E. faecium strains showed antagonistic activity against L. monocytogenes in the well diffusion test. In contrast, in the same antagonistic activity test, all of the strains had no antagonistic activity against S. aureus. Further studies could be planned to characterize E. faecium strains that show antagonistic activity against L. monocytogenes.

    • SDG 2 · Açlığa Son
    • SDG 3 · Sağlık ve Kaliteli Yaşam
    AtıfScopus2WoS2OpenAlex1
    ScopusWeb of SciencePubMedİncele
  • MakaleAçık Erişim2024Scopus SJRQ1
    Ensemble Learning Framework for DDoS Detection in SDN-Based SCADA Systems

    Oyucu, Saadin; Polat, Onur; Türkoğlu, Muammer; Polat, Hüseyin; Aksöz, Ahmet; Ağdaş, Mehmet Tevfik

    Supervisory Control and Data Acquisition (SCADA) systems play a crucial role in overseeing and controlling renewable energy sources like solar, wind, hydro, and geothermal resources. Nevertheless, with the expansion of conventional SCADA network infrastructures, there arise significant challenges in managing and scaling due to increased size, complexity, and device diversity. Using Software Defined Networking (SDN) technology in traditional SCADA network infrastructure offers management, scaling and flexibility benefits. However, as the integration of SDN-based SCADA systems with modern technologies such as the Internet of Things, cloud computing, and big data analytics increases, cybersecurity becomes a major concern for these systems. Therefore, cyber-physical energy systems (CPES) should be considered together with all energy systems. One of the most dangerous types of cyber-attacks against SDN-based SCADA systems is Distributed Denial of Service (DDoS) attacks. DDoS attacks disrupt the management of energy resources, causing service interruptions and increasing operational costs. Therefore, the first step to protect against DDoS attacks in SDN-based SCADA systems is to develop an effective intrusion detection system. This paper proposes a Decision Tree-based Ensemble Learning technique to detect DDoS attacks in SDN-based SCADA systems by accurately distinguishing between normal and DDoS attack traffic. For training and testing the ensemble learning models, normal and DDoS attack traffic data are obtained over a specific simulated experimental network topology. Techniques based on feature selection and hyperparameter tuning are used to optimize the performance of the decision tree ensemble models. Experimental results show that feature selection, combination of different decision tree ensemble models, and hyperparameter tuning can lead to a more accurate machine learning model with better performance detecting DDoS attacks against SDN-based SCADA systems.

    • SDG 7 · Erişilebilir ve Temiz Enerji
    • SDG 9 · Sanayi, Yenilikçilik ve Altyapı
    AtıfScopus36OpenAlex27
    ScopusWeb of SciencePubMedİncele