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Koleksiyondaki öğeler
- MakaleAçık Erişim2024Scopus SJRQ2Modeling 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.
AtıfScopus4WoS4OpenAlex5
İncele - MakaleAçık Erişim2024Scopus SJRQ1The 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.
AtıfScopus2WoS2OpenAlex2İncele - MakaleAçık Erişim2024Scopus SJRQ2THE 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.
- MakaleAçık Erişim2023Scopus SJRQ2Unraveling the chemical profile, antioxidant, enzyme inhibitory, cytotoxic potential of different extracts from Astragalus caraganae
Kurt-Celep, İnci; Zengin, Gokhan; Uba, Abdullahi I.; Caprioli, Giovanni; Mustafa, Ahmed M.; Angeloni, Simone; Cakilcioglu, Ugur; Guler, Osman; Kaplan, Alevcan; Sharmeen, Jugreet
Six extracts (water, ethanol, ethanol-water, ethyl acetate, dichloromethane, and n-hexane) of Astragalus caraganae were studied for their biological activities and bioactive contents. Based on high-performance liquid chromatography-mass spectrometry (HPLC-MS), the ethanol-water extract yielded the highest total bioactive content (4242.90 µg g−1), followed by the ethanol and water extracts (3721.24 and 3661.37 µg g−1, respectively), while the least total bioactive content was yielded by the hexane extract, followed by the dichloromethane and ethyl acetate extracts (47.44, 274.68, and 688.89 µg g−1, respectively). Rutin, p-coumaric, chlorogenic, isoquercitrin, and delphindin-3,5-diglucoside were among the major components. Unlike the dichloromethane extracts, all the other extracts showed radical scavenging ability in the 2,2-diphenyl-1-picrylhydrazyl (DPPH) radical scavenging assay (8.73–52.11 mg Trolox equivalent [TE]/g), while all extracts displayed scavenging property in the 2,2-azino-bis(3-ethylbenzthiazoline-6-sulfonic acid) (ABTS) radical scavenging assay (16.18–282.74 mg TE/g). The extracts showed antiacetylcholinesterase (1.27–2.73 mg galantamine equivalent [GALAE]/g), antibutyrylcholinesterase (0.20–5.57 mg GALAE/g) and antityrosinase (9.37–63.56 mg kojic acid equivalent [KAE]/g) effects. The molecular mechanism of the H2O2-induced oxidative stress pathway was aimed to be elucidated by applying ethanol, ethanol/water and water extracts at 200 µg/mL concentration to human dermal cells (HDFs). A. caraganae in HDF cells had neither a cytotoxic nor genotoxic effect but could have a cytostatic effect in increasing concentrations. The findings have allowed a better insight into the pharmacological potential of the plant, with respect to their chemical entities and bioactive contents, as well as extraction solvents and their polarity.
AtıfScopus31OpenAlex36
İncele - MakaleAçık Erişim2023Investigation of the Level of Attachment of Fathers to the Fetus and Factors Affecting Such Attachment in the Prenatal Period; [Prenatal Dönemde Babaların Fetüse Bağlanma Düzeyi ve Bu Bağlanmayı Etkileyen Faktörler]
Gümüşsoy, Süreyya; Dönmez, Sevgül; Alp Dal, Nursel
Objective: The aim of this study was to determine the level of attachment of fathers to the fetus and the factors affecting such attachment in the prenatal period. Methods: This descriptive study was conducted on 463 fathers whose spouses were 24–38 weeks pregnant in the obstetrics outpatient clinic of the University Research and Practice Hospital Gynecology Department between December 2019 and April 2020. The “Information Form” and “Intrauterine Father Attachment Scale” (IFAS) were used as data collection tools for this study. Results: In this study, the total score of Intrauterine Father Attachment Scale was found to be 62.22 ± 10.66 (min = 34, max = 87). The mean Intrauterine Father Attachment Scale scores of the fathers who had a good income level had a less marriage period, had less children, had a high educational level, who want to have more children, and whose spouse’s pregnancy was not risky were found to be higher than those of the fathers who did not (p >.05). Furthermore, of the fathers those who were previously knowledgeable about baby care and were experienced in baby care thought that both of the parents should be responsible for the care of the baby, perceived the support given by his family as sufficient, thought that marriage means happiness, wanted to attend their wives’ childbirth in the delivery room, wanted to attend pregnancy schools, and thought that the social relations affect the baby positively obtained higher scores from the IFAS (p >.05). Conclusion: Regression results have shown that getting information about baby care, who is mostly responsible for a baby’s care, educational status, and status of wanting to join pregnant schools have a significant impact on Intrauterine Father Attachment Scale scores.
AtıfScopus5OpenAlex3TR Dizin2
İncele - MakaleYalnız künye2024Scopus SJRQ2Investigation 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.
AtıfScopus3WoS3OpenAlex3İncele - MakaleAçık Erişim2024Scopus SJRQ4Ginkgo 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 Erişim2023Scopus SJRQ1Safe-haven and hedging roles of precious metals for BRICS and Turkey
Gençyürek, A. Galip; Ekinci, Ramazan
This paper investigates the role of precious metals in risk management (diversification, hedging, safe haven, leading and lagging roles) in the stock markets of BRICS-T (Brazil, Russia, India, China, South Africa, and Turkiye) countries using DCC-IGARCH-t-copula (Dynamic Conditional Correlation Integrated Generalized Autoregressive Conditional Heteroscedasticity - t-copula) and rolling Hong causality with daily data from the period 2015 to 2022. Our empirical findings indicate that, despite the existence of bidirectional variance causality, precious metals (gold, silver, platinum, and palladium) are effective risk management instruments, except for hedging. Moreover, to mitigate risk during the COVID-19 pandemic, investors should increase the weight in their portfolios of precious metals, except for gold. The leading role of precious metals in variance causality can help policy makers to design appropriate policies for curbing market vulnerability.
AtıfScopus14WoS14OpenAlex17İncele - MakaleAçık Erişim2025Scopus SJRQ1Seismic Foresight: A Novel Multi-Input 1D Convolutional Mixer Model for Earthquake Prediction Using Ionospheric Signals
Uyanik, Hakan; Kokum, Mehmet; Senturk, Erman; Freeshah, Mohamed; Ozcelik, Salih T. A.; Halil Akpinar, Muhammed; Celik, Serenay; Sengur, Abdulkadir
This study proposes a novel deep learning approach for predicting significant earthquakes (Mw ≥ 5.0 ) in Turkey using ionospheric Total Electron Content (TEC) data and space weather indices. ConvMixer is a lightweight CNN architecture that blends spatial and channel information using depthwise convolutions and pointwise layers. Inspired by vision transformers, it offers efficient image classification with fewer parameters and high performance. We developed a multi-input one-dimensional convolutional mixer (MI-1D-ConvMixer) model to classify TEC data from the preceding five consecutive days as either precursory to an earthquake on the 6th day or normal. The model incorporates six inputs: five 1D TEC signals and one 1D space-weather index array, including the global geomagnetic index (Kp), storm duration distribution (Dst), sunspot number (R), geomagnetic storm index (Ap-index), solar wind speed (Vsw), and solar activity index (F10.7) are also utilized to reveal non-seismic related pre-earthquake ionospheric variations. Our methodology involves two stages: 1) a preprocessing stage to enhance TEC signals and 2) an end-to-end training of the MI-1D-ConvMixer model. The model architecture features depth-wise and point-wise convolutions with patch embedding, utilizing uses four tunable hyperparameters: network depth, hidden dimension size, kernel size, and patch size. We used 196 earthquakes data from Turkey from 2010-2023, and TEC data from the TNPGN-Active GNSS stations. The dataset was split into 75% for training and 25% for testing. Performance metrics, including classification accuracy, sensitivity, specificity, and F1-score, are used for evaluation. Our model achieved a classification accuracy of 97.49%, demonstrating its potential for earthquake prediction systems. This research contributes to the field by introducing a novel deep learning architecture specifically designed for integrating TEC and space weather data for earthquake prediction. Future work should focus on validating the model’s performance in different geographical regions and investigating its limitations.
AtıfScopus7OpenAlex5İncele - Kitap BölümüYalnız künye2025Fake News About War and Perception Management in Turkey: Critical Discourse Analysis of Fake News
Aydın, Nursen
This study aims to uncover the discourse types and their directional framing of fake news shared on social media in Turkey, and how these influence social perception. The analysis is based on fake war-related content assessed by the Turkish factchecking platforms Teyit and Accuracy Share. The collected data is categorised into themes focusing on perception management. Each theme’s content was examined through the lens of Multimodal Critical Discourse Analysis (MCDA) and Teun van Dijk’s ideological discourse approach. This approach provides insight into the construction of war narratives through fake news, detailing how war is depicted within these discourses in Turkey.
AtıfScopus1İncele - MakaleYalnız künye2025Scopus SJRQ2Copula-based conditional reliability with application to rocket motor data
Hudaverdi, Burcu; Susam, Selim Orhun; Chesneau, Christophe
In this paper, we construct conditional reliability in the context of stress-strength models, taking into account the relationship between applied stress and strength. The Bernstein copula approximation is used to calculate the conditional reliability values. Real data from a rocket motor experiment are considered to evaluate the conditional reliability strength of a motor case and the required stress endurance for the motor.
AtıfScopus4WoS5OpenAlex5İncele - MakaleAçık Erişim2024Scopus SJRQ2Genotypic 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.
AtıfScopus2WoS2OpenAlex1İncele - MakaleAçık Erişim2025Scopus SJRQ4A research on effect of certificate trainings on pre-service teachers' awareness of psychological resilience
Çankaya, Ibrahim; Balikçi, Servet; Bek, Hafiz
The aim of this research is to determine whether certification training has a significant effect on pre-service teachers' awareness. In the research, the awareness level of pre-service teachers who participated in psychological resilience training was compared. The research is a one-group pre-test post-test quasi-experimental research design. The research group consisted of 25 pre-service teachers who participated in the psychological resilience trainings organized by Uşak University Lifelong Learning Center in the spring semester of the 2024-2025 academic year. The research group received resilience awareness training consisting of two sessions and lasting 1.5 weeks. Data were collected using the brief psychological resilience scale developed by Doğan. It was determined that there was a significant difference (p < .05) between the psychological resilience awareness levels of the students before and after the certificate training. In the 21st century, certificate trainings will be provided in addition to the university diploma in order to provide the skills that institutions and the business world care about. Certificates will be among the primary reasons for teacher selection.
AtıfScopus2OpenAlex2İncele - MakaleAçık Erişim2024Scopus SJRQ1Ensemble 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.
AtıfScopus36OpenAlex27İncele - MakaleAçık Erişim2024Scopus SJRQ1Delamination Magmatism in Eastern Anatolia: A Geochemical Perspective
Aktağ, Alican; Sayit, Kaan; Furman, Tanya; Peters, Bradley J.
The Sr-Nd-Hf-Pb isotope geochemistry of the Late Miocene Tunceli Volcanics suggests that they are the products of mixed asthenospheric and lithospheric mantle melts. The combined elemental and mineral chemistry data additionally indicate that a pyroxenite component of lithospheric origin is involved in their genesis. Calculations favor melting depths of ∼2 GPa for the Tunceli lavas, that is, deeper than the current lithosphere-asthenosphere boundary beneath Eastern Anatolia. Geochemical data suggest that during regional Neo-Tethyan subduction, dense (i.e., pyroxenite-bearing) domains formed by progressive melt intrusion into the lower lithosphere resulted in gravitational instabilities. This unstable density configuration eventually led to the foundering of the eastern Anatolian lithosphere in the Late Miocene, resulting in progressive melting of fusible pyroxenite-bearing domains at asthenospheric depths. We demonstrate that these pyroxenitic melts mixed with ambient asthenospheric melts and generated the Tunceli lavas.
AtıfScopus7OpenAlex9İncele - MakaleAçık Erişim2024Scopus SJRQ2Regional Climate Change and Drought Dynamics in Tunceli, Turkey: Insights from Drought Indices
Korkmaz, Meral; Kuriqi, Alban
Global warming and climate change are causing temperatures to rise, which is having a negative impact on water resources. Climate change is a worldwide problem that affects and will continue to affect the frequency and intensity of natural disasters in many regions of the world. Tunceli region in Turkey, which until 10 years ago was known as an environmentally friendly city with abundant water resources and frequent rainfall, is experiencing a decrease in precipitation during the snowy winter season. This situation has made the investigation of climate change impacts an important issue in the region. Therefore, effective climate change adaptation strategies need to be developed. To determine these strategies, in this study, we assessed long-term drought conditions using multiple drought indices such as Standardized Precipitation Index (SPI), Reconnaissance Drought Index (RDI), Normal Precipitation Index (PNI), and Aridity Index (AI). The SPI and RDI analyses were performed in annual reference periods on a time scale of 3, 6, 9, and 12 months using temperature, precipitation, and evaporation data. Consequently, the SPI and RDI results were compared, and both indices show similar behavior in dry, wet, and normal seasons. Nevertheless, RDI shows less variation between different time scales, which is an advantage over SPI and is probably due to the inclusion of potential evapotranspiration in RDI. The variations in PNI between humid and dry sub-humid categorizations throughout the years, combined with the AI results, indicate that the Tunceli region predominantly experiences a climate ranging from dry sub-humid to semi-arid. This study could help decision-makers take effective measures to become more resilient to climate change in temperate climate regions and take important steps toward sustainable water resources management.
AtıfScopus17WoS15OpenAlex20İncele - MakaleYalnız künye2023Scopus SJRQ1Laboratory evaluation of oak ash waste for use in hot mix asphalt modification
Geçkil, Tacettin; Beyza İnce, Ceren; Aksağan, Zülfükar
In this study, the effect of Oak Ash (OA), a biomass waste, on the mechanical properties of hot mix asphalt (HMA) was investigated and its usability in road engineering was evaluated. For this purpose, firstly, various physical and chemical properties of B70/100 penetration class pure asphalt, OA and crushed limestone aggregate were determined. Then, the optimum asphalt content (OAC) of the mixture was determined according to the Marshall mix design method using aggregate and pure asphalt. Based on this determined content, pure and OA added (1%, 2%, 4% and 6% by weight of asphalt) modified hot mix specimens were prepared. Pure and OA added modified mixture specimens were subjected to Marshall stability, indirect tensile strength (ITS), moisture damage, indirect tensile stiffness modulus (ITSM), static-dynamic creep and calorie tests. According to the results obtained, it has been determined that the OA additive has an improving effect on all mechanical properties of the mixtures, especially on the permanent deformation resistance at high temperatures. It is considered that the use of this additive at a rate of 2% in the hot mixture can increase the resistance of the pavement against deterioration and reduce the maintenance and repair costs of the road.
AtıfScopus26WoS25OpenAlex24İncele - MakaleYalnız künye2024Scopus SJRQ2Mechanical and thermal properties of short banana fiber reinforced polyoxymethylene composite materials dependent on alkali treatment
Doğan, Akar; Güneş, Çağdaş
The present study aimed to develop a recyclable composite material based on a natural product, namely banana fiber, instead of synthetic reinforcement elements such as glass fiber or carbon fiber in thermoplastic matrix composites employed in many aspects of daily life. Polyoxymethylene (POM) thermoplastic was used as the matrix material. 3 %, 6 %, and 9 % by weight short natural banana fiber was used as reinforcement. Furthermore, the study improved the mechanical and thermal properties of the composite material with chemical improvements based on alkali treatment of banana fiber. Banana fiber and POM was initially mixed mechanically and then extruded at temperatures between 170 and 190 °C to obtain a homogeneous mixture. The mixture obtained by extrusion was initially cooled in the cooling pool and then passed through the crusher to obtain granules. These granules were pressed in plastic injection molds to obtain standard test samples. The ratio of reinforcement material and the variations in mechanical and thermal properties of the composites induced by the alkali treatment are presented in figures and tables. Furthermore, the changes in cross-sectional material images were examined with electron microscopy scans. The tensile and flexural strength of the material improved with alkali treatment.
AtıfScopus21WoS19OpenAlex20İncele - MakaleYalnız künye2024Scopus SJRQ1The effects of listening to lullabies and self-selected music at home on prenatal stress and anxiety in nulliparous pregnant women: A randomized-controlled study
Baltacı, Nazlı; Doğan Yüksekol, Özlem; Koç, Emine; Ulucan, Mihriban
To compare the effects of nulliparous pregnant women listening to lullabies and self-selected music on reducing the anxiety and antenatal stress. This was a randomized controlled study. Lullaby group (LG) (n = 40) listened to the lullaby chosen by the researcher, mixed music group (MG) (n = 40) listened to self-selected music and control group (CG) (n = 40) received general care. Post-test anxiety and stress levels was lower in two intervention groups versus CG (p < 0.01). Post-test anxiety was lower in the MG versus LG (p < 0.01), however post-test stress levels were similar. Pregnant women listening to self-selected music at home is more effective in reducing anxiety.
AtıfScopus6WoS7İncele - MakaleYalnız künye2024Scopus SJRQ2Plant extract-based biosynthesis of silver nanoparticle and silver–zinc nanocomposites-doped hydroxyapatite and its antimicrobial activity
Unal, Ilkay; Aydoğdu, Burcu; Aytar, Mehmet
Hydroxyapatite (HAp) is an essential material in the biomedical field because of its chemical composition, similar to the apatites found in bones. The lack of bactericidal properties of HAp-based materials cannot prevent the adhesion and growth of bacteria. However, it can develop composite biomaterials using nanoparticles (NPs) such as silver (Ag) and zinc (Zn), which exhibit biocidal behaviours to control resistant microorganisms. This study aimed to prepareHAp–AgNPs and HAp–Ag@ZnNPs nanocomposite and evaluate their antimicrobial properties against Gram-positive and Gram-negative bacteria. HAp powders were produced from sheep bone. An aqueous extract of Marrubium astracanicum was used as a reducing and stabilising agent for the synthesis of NPs. The composites were characterized by XRD, SEM–EDX, SEM and FTIR. In vitro biocompatibility assessment was determined by agar well diffusion tests. The HAp–Ag@ZnNPs nanocomposites showed stronger antimicrobial activity than HAp–AgNPs against bacteria and fungi, while pure HAp did not show any effect.
AtıfScopus6WoS5OpenAlex4İncele
