Sürdürülebilir Kalkınma Amaçları

Yazarlar

  • MakaleYalnız künye2024Scopus SJRQ3
    Green synthesis of cobalt-oxide nanoparticles with an endemic species Allium tuncelianum and anticancer activity

    Aslan Korkmaz, Şengül

    The green synthesis method used to synthesize Co3O4-NPs has attracted numerous advantages due to its low cost, less time and energy consume, no need of special instruments for experimental and more eco-friendly with environment. In this study, the Co3O4-NPs were synthesized by green synthesis method to overcome the toxicity of chemical synthesis. And Allium tuncelianum plant which is an endemic species in Tunceli was used as a reducing agent and Co(NO3)2.6H2O as a source of cobalt. The synthesized Co3O4-NPs were characterized by using FTIR, XRD, SEM and HR-TEM techniques. The XRD pattern was shown that the Co-NPs were face-centered cubic (fcc) of crystalline nature and the average crystallite size was found nearly 23 nm with a value of COD(R^2): 0.982. The Co3O4-NPs generally had a spherical shape in the SEM images taken at 200 nm. The Co3O4-NPs showed low IC50 value against HeLa cells compare with RPE normal cells.

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  • MakaleYalnız künye2024Scopus SJRQ1
    Predicting and optimizing maximum flexural strength of planar composite plate shear walls – concrete filled with the application of LR and RSM

    Polat, Erkan; Polat, Elifcan Göçmen

    Traditional theoretical models, while conservative, overlook the complex, nonlinear interactions between material and geometric parameters that influence wall flexural strength. Additionally, the extent to which these models maintain their conservative assumptions across varying parameters remains uncertain. This study aims to develop advanced predictive models for the flexural strength of planar composite plate shear walls—concrete filled (C-PSW/CF) by employing Linear Regression (LR) and Response Surface Methodology (RSM). Central Composite Design (CCD) was utilized to design numerical experiments to analyze the effects of varying parameters, including steel plate yield strength, concrete compressive strength, wall depth, depth-to-thickness ratio, and reinforcement ratio. A validated complex finite element modeling (FEM) procedure was used to analyze numerical experiments involving varying parameters of the selected variables. Both LR and RSM were applied to the generated dataset to formulate predictive equations for the maximum moment capacity of walls. Interaction plots were developed to reveal the nonlinear relationships between the variables and identify the most effective parameters influencing the wall strength. Comparisons between theoretical predictions, RSM, and LR models revealed that RSM provided the most accurate predictions, closely aligning with FEM results and effectively capturing the nonlinear interactions between wall parameters. The findings of this paper contribute to the development of more practical, accurate and optimized design methods for C-PSW/CF, ultimately improving both structural safety and efficiency.

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  • MakaleYalnız künye2024Scopus SJRQ2
    The Relationship Between Compassion Fatigue and Professional Self-Concept in Psychiatric Nurses

    Durmaz, Hatice; Karakaş, Sibel Asi; Erçel, Şeyda

    The current study examined the relationship between compassion fatigue and professional self-concept in psychiatric nurses. Participants included 156 nurses working in a mental health and disorders hospital in Turkey. Data were collected via a sociodemographics form, the Compassion Fatigue subscale of the Professional Quality of Life Scale, and Professional Self-Concept Scale. Participants exhibited low levels of compassion fatigue and high levels of professional self-concept. A significant negative relationship was found between participants’ mean compassion fatigue scores and mean professional satisfaction, professional competence, and professional self-concept scores (p < 0.05). Professional satisfaction, professional competence, and professional self-concept decreased with increasing compassion fatigue. Nurses should be provided emotional support through in-service training and effective communication to prevent burnout.

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  • MakaleYalnız künye2024Scopus SJRQ2
    Maxillary sinus detection on cone beam computed tomography images using ResNet and Swin Transformer-based UNet

    Çelebi, Adalet; Imak, Andaç; Üzen, Hüseyin; Budak, Ümit; Türkoğlu, Muammer; Hanbay, Davut; Şengür, Abdulkadir

    Objectives: This study, which uses artificial intelligence-based methods, aimed to determine the limits of pathologic conditions and infections related to the maxillary sinus in cone beam computed tomography (CBCT) images to facilitate the work of dentists. Methods: A new UNet architecture based on a state-of-the-art Swin transformer called Res-Swin-UNet was developed to detect the sinus. The encoder part of the proposed network model consists of a pre-trained ResNet architecture, and the decoder part consists of Swin transformer blocks. Swin transformers achieve powerful global context properties with self-attention mechanisms. Because the output of the Swin transformer generates sectorized features, the patch expanding layer was used in this section instead of the traditional upsampling layer. In the last layer of the decoder, sinus diagnosis was conducted through classical convolution and sigmoid function. In experimental works, we used a data set including 298 CBCT images. Results: The Res-Swin-UNet model achieved more success, with a 91.72% F1-score, 99% accuracy, and 84.71% IoU, outperforming the state-of-the-art models. Conclusions: The deep learning-based model proposed in the present study can assist dentists in automatically detecting the boundaries of pathologic conditions and infections within the maxillary sinus based on CBCT images.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
    AtıfScopus21OpenAlex20
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  • MakaleAçık Erişim2024Scopus SJRQ2
    An evaluation of societal perception of monkeypox in terms of disease anxiety and stress levels: A Turkish sample

    Yeşiltepe, Akgün; Ayşe, Ç.A.L.

    Objective: The purpose of this research was to examine community perception of monkeypox in terms of epidemic anxiety and stress levels. Methods: This research was performed as a descriptive, cross-sectional study. The research was conducted with 1001 individuals between September and December 2022. AMOS 24, JAMOVI, and SPSS version 25 software were employed. The data were collected using a descriptive form, the Epidemic Anxiety Scale, and the Perceived Stress Scale. Results: The mean Epidemic Anxiety Scale score was 52.47 ± 14.52, and the mean Perceived Stress Scale score was 41.88 ± 6.83. Significant positive correlation was determined between the Epidemic Anxiety Scale and the Perceived Stress Scale (r = 0.350, p =.000). A one-unit increase in perceived stress caused a 0.360 increase in epidemic anxiety (ß = 0.360). In addition, having heard of and fearing monkeypox, thinking about its ability to cause an epidemic, and perceived stress emerged as significant predictors of epidemic anxiety. Conclusion: The community was found to exhibit a moderate level of epidemic anxiety and a low level of perceived stress. Epidemic anxiety levels increased in line with perceived stress levels. We recommend that individuals in need receive support by determining epidemic anxiety and perceived stress levels in the community.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
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  • MakaleAçık Erişim2024Scopus SJRQ3
    The Effect of Earthquakes on International Trade: The Example of the 6 February 2023 Kahramanmaras Earthquakes; [Depremlerin Uluslararasi Ticaret Üzerine Etkisi: 6 Şubat 2023 Kahramanmaraş Depremleri Örneǧi]

    Ates, Erdem

    On February 6, 2023, two earthquakes occurred in Kahramanmaraş province, which are among the largest earthquakes in the history of Türkiye. The purpose of the study is to determine how these earthquakes affected the exports and imports of the region. In the study, export and import data of Türkiye and 11 provinces declared as earthquake zones were used monthly for the period from January 2021 to December 2023. In the study, the foreign trade data of the region were first examined descriptively and then with the Bai and Perron test to determine whether the earthquake caused a structural break. As a result, it was determined that the earthquakes caused a structural break in both exports and imports. After the earthquakes, exports quickly returned to their pre-earthquake levels, but a similar recovery was not observed in imports.

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  • MakaleYalnız künye2024Scopus SJRQ2
    Synthesis, spectroscopic characterization and optical studies of poly(AN-co-St) composites with doped lanthanum (III) chloride for aerospace applications

    Aydin, Handan; Torgut, Gülben

    In this study, firstly, the copolymer of acrylonitrile (AN) and styrene (St) was synthesized by solution polymerization method using 2,2′-azobisisobutyronitrile (AIBN) as an initiator. The composites of copolymer incorporating lanthanum (III) chloride (3, 6, 9 and 18 wt%), the rare earth element (REE), were prepared and thin films were produced by thermal evaporation method for optical measurement. The samples were characterized by attenuated total reflectance Fourier transform infrared (ATR–FTIR), scanning electron microscopy–energy dispersive spectroscopy (SEM–EDS) and X-ray diffraction (XRD). The glass transition temperature, which is one of the thermal properties of the synthesized copolymers and composites, was examined with a differential thermal analyzer. The changes in the optical properties of the samples produced with LaCl3 dopant were investigated using the UV–VIS spectroscopy. The optical band gaps of the samples were calculated using Tauc equation. As a result of the optical studies, it was observed that there was a change in the conductivity properties of the samples with the addition of LaCl3. The present results showed the advantage of using LaCl3 as a filler to improve the optical properties of poly(AN-co-St) samples.

  • MakaleAçık Erişim2024Scopus SJRQ3
    VARIATION OF ZOOPLANKTON IN THE HALBORI SPRINGS (TUNCELI, TURKEY)

    Bulut, H.; Ozcan, E.I.; Kilmaç, C.

    This study examined certain water quality parameters and zooplankton fauna at two stations in Halbori Springs (Tunceli, Turkey), over a 12-month period from June 2022 to May 2023. The highest water temperature of 15.4°C was recorded at Station 2 in August, while the lowest water temperature of 5.0°C was recorded at Station 2 in January. The pH value of Halbori Springs ranged from 6.4 to 8.5. Dissolved oxygen varied between 8.1 and 11.9 mg/L during the study period. A total of 26 zooplankton species were identified in Halbori Springs. Nineteen of these species belong to Rotifera, five Cladocera and two Copepoda. According to the index analysis results of Station 1, the month with the highest species richness index, as measured by the Shannon Wiener H′ index, was October with a value of 1.97, while the lowest value was 0.45 in January. The highest value for the Margalef species diversity D index was 0.78 in October, and the lowest was 0.12 in January. According to the index analysis results of the station 2, the month with the highest species richness index, Shannon Wiener H’, was September with a value of 1.68, while the lowest value was observed in January with 0.67. As for the Margalef species diversity index D, the highest value was recorded in September with 0.64, and the lowest value was observed in January with 0.12. In Halbori Springs, 1 species of Brachionus and 2 species of Trichocerca were found. The QB/T ratio was calculated to be 0.5, suggesting that the study area has oligotrophic characteristics.

    • SDG 6 · Temiz Su ve Sanitasyon
    • SDG 14 · Sudaki Yaşam
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  • MakaleAçık Erişim2024Scopus SJRQ1
    World of Crayfish™: a web platform towards real-time global mapping of freshwater crayfish and their pathogens

    Ion, Mihaela C.; Bloomer, Caitlin C.; Bărăscu, Tudor I.; Oficialdegui, Francisco J.; Shoobs, Nathaniel F.; Williams, Bronwyn W.; Scheers, Kevin; Clavero, Miguel; Grandjean, Frédéric; Collas, Marc

    Freshwater crayfish are amongst the largest macroinvertebrates and play a keystone role in the ecosystems they occupy. Understanding the global distribution of these animals is often hindered due to a paucity of distributional data. Additionally, nonnative crayfish introductions are becoming more frequent, which can cause severe environmental and economic impacts. Management decisions related to crayfish and their habitats require accurate, up-to-date distribution data and mapping tools. Such data are currently patchily distributed with limited accessibility and are rarely up-to-date. To address these challenges, we developed a versatile e-portal to host distributional data of freshwater crayfish and their pathogens (using Aphanomyces astaci, the causative agent of the crayfish plague, as the most prominent example). Populated with expert data and operating in near real-time, World of Crayfish™ is a living, publicly available database providing worldwide distributional data sourced by experts in the field. The database offers open access to the data through specialized standard geospatial services (Web Map Service, Web Feature Service) enabling users to view, embed, and download customizable outputs for various applications. The platform is designed to support technical enhancements in the future, with the potential to eventually incorporate various additional features. This tool serves as a step forward towards a modern era of conservation planning and management of freshwater biodiversity. Copyright 2024 Ion et al.

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  • MakaleYalnız künye2024Scopus SJRQ1
    Physical and biological characteristics of eco-friendly films added with Cinnamomum zeylanicum extract for packaging materials

    Gürler, Nedim; Ertekin, Özlem

    The effects of Cinnamomum zeylanicum extract (CZE) at different rations (0%, 1%, 3% and 5%) on gelatin (GL)–polyvinyl alcohol (PVA) blend films were evaluated in relation to the structural, tensile strength, physical, antimicrobial and antioxidant properties of the films in this study. The results showed that water barriers of the film samples decreased, but the UV-blocking property increased and became opaque at the highest GLPVA5 film. The tensile strengths of GLPVA, GLPVA1, GLPVA3 and GLPVA5 films were 1.21, 1.78, 1.62 and 1.95 MPa, respectively. The antimicrobial effect of these films was determined against Escherichia coli, Enterococcus faecalis, Salmonella typhimurium and Bacillus cereus according to the parallel stick method. Antioxidant properties of cinnamon extract were investigated using 2,2-diphenyl-1-picryl-hydrazil (DPPH) methods. The % inhibition of DPPH was found to be 82.00. No antibacterial effect was detected for B.cereus and E. faecalis at 0%, 1%, 3% and 5%. While no activity was observed in 0%, 1% and 3% cinnamon, 7.5 and 3.0 mm zones were detected in S. typhimirium and E. coli, respectively, in 5% cinnamon. The results suggest that the film samples could be used in a potential packaging with antioxidant and antibacterial properties.

    • SDG 12 · Sorumlu Üretim ve Tüketim
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  • MakaleAçık Erişim2024Scopus SJRQ1
    Development and in-depth experimental characterization of novel TiZrNbHfTaOx reinforced 316L stainless steel for advanced nuclear applications

    Güler, Ömer; Albayrak, M. Gökhan; Başgöz, Öyküm; Kavaz, E.; Alkarrani, Hessa; ALMisned, Ghada; Tekin, H.O.

    Oxide Dispersion Strengthened (ODS) materials are known for their exceptional performance in high-temperature and radiation environments. This study explores the radiation shielding properties of 316L Stainless Steel reinforced with TiZrNbHfTaOx High-Entropy Oxide (HEO). By integrating HEOs into the 316L stainless steel matrix, we aim to enhance its structural and radiation shielding properties. The HEO was synthesized using high-energy ball milling and oxidation processes, followed by thorough characterization using X-ray diffraction (XRD), scanning electron microscopy (SEM), and energy-dispersive spectroscopy (EDS). Our results indicate significant improvements in both gamma-ray and neutron shielding properties. The 316L SS samples reinforced with 20 % HEO exhibited the highest mass attenuation coefficients (MAC), lowest half-value layers (HVL), and highest effective atomic numbers (Zeff) across all tested photon energies. These enhancements are attributed to the high atomic number elements and unique synergistic effects of HEOs. Neutron shielding was evaluated through equivalent dose rate measurements, with the 20 % HEO sample demonstrating the highest absorbed dose rate percentage and superior neutron interaction cross-sections. Benchmarking against standard materials confirmed the superior performance of HEO-reinforced 316L SS, making it a promising candidate for advanced radiation shielding in nuclear reactors and other high-radiation environments. Our findings suggest that HEO reinforcement not only improves mechanical properties but also significantly enhances the radiation protection capabilities of 316L stainless steel.

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  • MakaleYalnız künye2024Scopus SJRQ2
    An Evaluation of Living Conditions and Dietary Habits of Seasonal Migrant Agricultural Workers: The Example of Turkey

    Orhan, İlksen; Koçak, Hatice Serap

    Objective: The nutritional status of seasonal migrant agricultural workers is negatively affected by problems with working conditions, wages, accommodations, and living conditions. This study aimed to investigate the living conditions, dietary habits, and food consumption frequency of seasonal migrant agricultural workers in Turkey. Methods: This descriptive, cross-sectional study was conducted in July and August 2022 in the neighborhoods of Akçadağ district in Malatya Province, Turkey. The sample of the study consisted of 262 seasonal migrant agricultural workers aged 15 and over who came to the region for the apricot harvest. The data were obtained using the face-to-face interview technique via a two-part questionnaire including questions on socio-demographic characteristics, living conditions, dietary behaviors and food consumption frequency. Results: The mean age of the seasonal migrant agricultural workers was 24.16 ± 0.75, and they worked 12.01 ± 0.10 hours per day on average. It was determined 74.8% of the workers had access to clean water, and 50.4% did not think they had an adequate and balanced diet. It was found only 57.3% of the workers had a normal body mass index, 80.2% never ate fish, 53.8% never ate red meat, and 67.2% never drank milk, while only 34.4% were able to eat seasonal vegetables. Conclusion: The findings of the study show that seasonal migrant agricultural workers in Turkey do not have suitable conditions in terms of food and accommodations, and their working conditions, wages, and health conditions are inadequate. These deficiencies have a negative effect on workers’ quality of life and health status.

    • SDG 2 · Açlığa Son
    • SDG 3 · Sağlık ve Kaliteli Yaşam
    • SDG 8 · İnsana Yakışır İş ve Ekonomik Büyüme
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  • MakaleAçık Erişim2024Scopus SJRQ1
    Design of Ohmic Thawing Cell with Hydrostatic Pressure Units: Application in Minced Beef

    Döner, Deniz; Çokgezme, Ömer Faruk; Çevik, Mutlu; İçier, Filiz

    The thawing process is a common processing method used in the meat industry. To ensure provide food safety and protect meat quality, the thawing process should be carried out carefully. Ohmic thawing (OT) is one of the novel thawing methods. In this study, a custom-designed ohmic thawing prototype was set up and used to thaw frozen minced beef samples in different shapes (X: 13 × 4 × 3 cm3; Y: 13 × 6 × 2 cm3; Z: 13 cm height × 3.91 cm diameter) at 3 different voltage gradients (10–13-16 V/cm) by using 3 different electrode designs (E1, titanium foil; E2, needle type titanium electrode; E3, titanium embossed). The optimum OT condition resulting in a high-quality product with the highest process efficiency was determined. As an optimization procedure, a three-level general factorial design was performed. Thawing time, drip loss, thawing ratio, maximum temperature, ohmic power consumption, energy efficiency, and exergy efficiency values were used as responses. The cylindrical sample shape resulted in higher changes in quality and decreased performance of the process. The optimum ohmic thawing condition was a 16 V/cm voltage gradient for Y-shaped samples by using an E2 electrode design. The thawing time for the optimum condition was 2074s corresponding ohmic power consumption of 15.84 W. The drip loss during thawing was measured at 1.20%. The maximum temperature reached during the thawing process was recorded as 15.90 °C. Energy efficiency and exergy efficiency values were greater than 35%. Based on these results, the overall desirability of the ohmic thawing method was evaluated as 0.755. The obtained desirability value indicated the ohmic thawing method to be highly efficient and effective in achieving optimal thawing outcomes. The results of this study could give valuable information on the design of industrial-scale ohmic heating units to be used with solid foods, especially for thawing purposes.

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  • MakaleYayıncıda açık erişim2024Scopus SJRQ1
    Investigation of in-vitro bioactivity, electrochemical corrosion, wettability and adhesion properties of bioglass-based coatings modified with Y2O3 and Zr on novel β-type Ti-30Zr-5Mo alloys

    Dikici, B.; Say, Y.; Zhao, X.; Niinomi, M.; Szechyńska-Hebda, M.

    In this study, the in-vitro bioactivity, electrochemical corrosion resistance, wettability, and adhesion properties of bioglass-based coatings modified with Y2O3 and ZrO2 on Ti-30Zr-5Mo alloy were investigated. The coatings were prepared using the sol-gel method and applied to the alloy substrates through dip-coating. The surface morphology and elemental composition of the coatings were analyzed using SEM/EDS and XRD techniques. Potentiodynamic polarization (PDS) and electrochemical impedance spectroscopy (EIS) were employed to assess the electrochemical behavior of the coatings under in-vitro conditions. Contact angle measurements were conducted to evaluate the wettability of the surfaces. Adhesion strength was measured using tensile testing in accordance with ISO 13779-2 standards. Bioactivity tests were performed by immersing the samples in simulated body fluid (SBF). The results demonstrate that the addition of Y2O3 and ZrO2 improves adhesion strength and corrosion potential, but introducing localized galvanic effects that increase the corrosion current density. Besides, the coatings maintained their structural integrity after the bioactivity tests, and promoted new apatite formation.

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  • MakaleYalnız künye2024Scopus SJRQ1
    Effect of Zr content on microstructure and wear behavior of Al-Si-Cu-Ni Mg-Zrx alloy

    Taşgın, Yahya; Gök, Mehmet

    In this study, the effect of zirconium addition (1, 1.5, 2 wt%) on the microstructural morphology and wear behavior of Al-Si-Cu-Ni-Mg alloys, known as light metals in which intermediate phases solidify rapidly at high temperatures, was investigated. The study aimed to obtain a stronger material by modifying the Al81Si12Cu4Ni2Mg alloy. It was observed that the Zr added to the alloy was homogeneously distributed throughout the samples. Aluminum and silicon formed compounds with zirconium (Al3Zr and ZrSi2), leading to the formation of a thinner and stronger structure. With the heat treatment applied to the aluminum alloys, the structure became more ductile. Additionally, as a result of Zr addition, microhardness increased, and wear values improved. Graphical abstract: (Figure presented.)

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  • MakaleAçık Erişim2024Scopus SJRQ2
    Innovative Al6061-gadolinium oxide ods alloys: fabrication and comprehensive characterization of microstructural, physical, mechanical, and radiation shielding properties

    ALMisned, Ghada; Yayla, Nihal; Albayrak, M. Gökhan; Güler, Ömer; Baykal, Duygu Sen; Tekin, H.O.

    This study explores the development and comprehensive characterization of Al6061-Gd₂O₃ composites, designed to enhance radiation shielding and mechanical properties for critical applications in environments exposed to ionizing radiation. The purpose of this research is to assess the effectiveness of Gd2O3 as a reinforcing material for Al6061, with the aim of creating a dual-function composite that combines structural integrity with superior gamma-ray and neutron attenuation capabilities. Using X-ray diffraction (XRD) and scanning electron microscopy (SEM), we analyzed the microstructural effects of varying Gd2O3 content, observing homogeneous dispersion at low concentrations and clustering at higher levels. Mechanical properties demonstrated that increased Gd2O3 content reduces the elastic modulus, indicating a trade-off between stiffness and shielding efficiency. Radiation shielding parameters, including Transmission Factor (TF), mass attenuation coefficient (MAC), and Fast Neutron Removal Cross Section (FNRCS), were evaluated through Phy-X/PSD and PHITS Monte Carlo simulations. Results indicate that Gd2O3 reinforcement significantly improves gamma-ray and neutron shielding, particularly at higher concentrations, making the composite viable for non-structural applications prioritizing radiation protection. The findings from this study highlight the potential of Gd2O3-reinforced Al6061 composites to serve as effective shielding materials in environments where radiation exposure is a primary concern.

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  • MakaleAçık Erişim2024Scopus SJRQ2
    Photocatalytic Hydrogen Evolution of TiZrNbHfTaOx High-Entropy Oxide Synthesized by Mechano-Thermal Method

    Güler, Ömer; Boyrazlı, Mustafa; Albayrak, Muhammet Gökhan; Güler, Seval Hale; Ishihara, Tatsumi; Edalati, Kaveh

    One of the most promising solutions to slow down CO2 emissions is the use of photocatalysis to produce hydrogen as a clean fuel. However, the efficiency of the photocatalysts is not at the desired level, and they usually need precious metal co-catalysts for reactions. In this study, to achieve efficient photocatalytic hydrogen production, a high-entropy oxide was synthesized by a mechano-thermal method. The synthesized high-entropy oxide had a bandgap of 2.45 eV, which coincided with both UV and visible light regions. The material could successfully produce hydrogen from water under light, but the main difference to conventional photocatalysts was that the photocatalysis proceeded without a co-catalyst addition. Hydrogen production increased with increasing time, and at the end of the 3 h period, 134.76 µmol/m2 h of hydrogen was produced. These findings not only introduce a new method for producing high-entropy photocatalysts but also confirm the high potential of high-entropy photocatalysts for hydrogen production without the need for precious metal co-catalysts.

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  • MakaleAçık Erişim2024Scopus SJRQ2
    Enhanced impedance, electrical conductivity, dielectric properties for colloidal starch-g-poly (methyl methacrylate) supported with semiconductor cadmium sulfide

    Torğut, Gülben; Gürler, Nedim

    In this study, starch-graft-poly (methyl methacrylate) (starch-g-PMMA) composites doped with different amounts (5, 10, and 15 wt%) of cadmium sulfide (CdS) particles were fabricated for electrical measurements using in-situ polymerization technique. The structural characterization of the samples was studied. The dielectric and conductivity properties of the composites were investigated using impedance analyzer depending on the frequency (100 Hz–20 kHz) at room temperature. Spectroscopy revealed that the dielectric constant (ε′), dielectric loss (ε′′), and real (Z) components of impedance are found to decrease with increasing frequency for both starch-g-PMMA and starch-g-PMMA (5, 10, and 15 wt%) composites. On the contrary, the AC conductivity (σac) of samples increased with increasing frequency. In addition, ε′ and ε′′ values of starch-g-PMMA were lower than composites that added CdS. When the CdS content increased from 0 to 15%, ε′ increased from 5.62 to 15.10 at 100 Hz. AC conductivity was improved after adding the CdS particles. The maximum conductivity value for starch-g-PMMA15%CdS is found to be 3.07 × 10–7 at 100 Hz. When the dielectric properties of composites are evaluated, it is concluded that it is an exciting material for electronic applications in technology.

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  • MakaleYayıncıda açık erişim2024Scopus SJRQ1
    Effect of pretreatment temperature and time on fat bonding and fat reduction in deep-fried surimi

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

    Deep frying (DF) is a popular cooking technique resulting in desirable sensory quality. However, DF also results in negative perception related to increased fat uptake and thus poor nutritional quality. In this study, a development of a novel strategy for fat reduction in DF surimi without additives and coatings was attempted. Novel pre-baking and pre-roasting were applied to surimi prior to DF. This novel pre-treatment strategy for DF surimi has not been reported in literature. Total, free, and bonded fat contents and corresponding fat reductions in DF surimi were determined. Cook and moisture losses as well as water holding capacity, expressible moisture, in addition to color and texture were also investigated. Fat uptake during DF of surimi was reduced (P < 0.05) by ≥ 25 % with pre-baking. Pre-baking improved (P < 0.05) or did not (P > 0.05) affect cook and moisture losses, water holding capacity, expressible moisture, color, and texture. However, pre-roasting increased (P < 0.05) fat content and adversely affected most quality parameters. Pre-baking of surimi at lower-temperature (116 °C) for longer-time (12–15 min) followed by DF at lower-temperature (170 °C) for longer-time (4 min) was most optimal for fat reduction, cook and moisture losses, water holding capacity, expressible moisture, color, and texture of surimi.

    • SDG 2 · Açlığa Son
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  • MakaleAçık Erişim2024Scopus SJRQ1
    Integrated Approach Using Intuitionistic Fuzzy Multicriteria Decision-Making to Support Classifier Selection for Technology Adoption in Patients with Parkinson Disease: Algorithm Development and Validation

    Ortiz-Barrios, Miguel; Cleland, Ian; Donnelly, Mark; Gul, Muhammet; Yucesan, Melih; Jiménez-Delgado, Genett Isabel; Nugent, Chris; Madrid-Sierra, Stephany

    Background: Parkinson disease (PD) is reported to be among the most prevalent neurodegenerative diseases globally, presenting ongoing challenges and increasing burden on health care systems. In an effort to support patients with PD, their carers, and the wider health care sector to manage this incurable condition, the focus has begun to shift away from traditional treatments. One of the most contemporary treatments includes prescribing assistive technologies (ATs), which are viewed as a way to promote independent living and deliver remote care. However, the uptake of these ATs is varied, with some users not ready or willing to accept all forms of AT and others only willing to adopt low-technology solutions. Consequently, to manage both the demands on resources and the efficiency with which ATs are deployed, new approaches are needed to automatically assess or predict a user’s likelihood to accept and adopt a particular AT before it is prescribed. Classification algorithms can be used to automatically consider the range of factors impacting AT adoption likelihood, thereby potentially supporting more effective AT allocation. From a computational perspective, different classification algorithms and selection criteria offer various opportunities and challenges to address this need. Objective: This paper presents a novel hybrid multicriteria decision-making approach to support classifier selection in technology adoption processes involving patients with PD. Methods: First, the intuitionistic fuzzy analytic hierarchy process (IF-AHP) was implemented to calculate the relative priorities of criteria and subcriteria considering experts’ knowledge and uncertainty. Second, the intuitionistic fuzzy decision-making trial and evaluation laboratory (IF-DEMATEL) was applied to evaluate the cause-effect relationships among criteria/subcriteria. Finally, the combined compromise solution (CoCoSo) was used to rank the candidate classifiers based on their capability to model the technology adoption. Results: We conducted a study involving a mobile smartphone solution to validate the proposed methodology. Structure (F5) was identified as the factor with the highest relative priority (overall weight=0.214), while adaptability (F4) (D-R=1.234) was found to be the most influencing aspect when selecting classifiers for technology adoption in patients with PD. In this case, the most appropriate algorithm for supporting technology adoption in patients with PD was the A3 - J48 decision tree (M3=2.5592). The results obtained by comparing the CoCoSo method in the proposed approach with 2 alternative methods; (simple additive weighting and technique for order of preference by similarity to ideal solution) support the accuracy and applicability of the proposed methodology. It was observed that the final scores of the algorithms in each method were highly correlated (Pearson correlation coefficient >0.8). Conclusions: The IF-AHP-IF-DEMATEL-CoCoSo approach helped to identify classification algorithms that do not just discriminate between good and bad adopters of assistive technologies within the Parkinson population but also consider technology-specific features like design, quality, and compatibility that make these classifiers easily implementable by clinicians in the health care system.

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