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Koleksiyondaki öğeler
- MakaleYayıncıda açık erişim2025Scopus SJRQ2COVID-19 Alters Respiratory Function Associations in High-Level Athletes
Kabak, Banu; Erdoğan, Murat; Tortu, Erkan; Deliceoğlu, Gökhan; Bulgay, Celal; Kızar, Oktay; Baydaş, Giyasettin; Szabo, Attila
Background and Objectives: Coronavirus disease 2019 (COVID-19) has affected multiple physiological systems, including respiratory function, which is critical for athletic performance. Although alterations in pulmonary dynamics have been observed in high-level athletes recovering from COVID-19, the effects on respiratory function remain unclear. In this context, the present study aimed to examine the impact of COVID-19 on the interrelationships among respiratory function parameters in high-level athletes. Materials and Methods: Sixty-eight high-level athletes participated in the present study, including 34 with a history of COVID-19 and 34 controls without prior infection. Respiratory function and respiratory muscle strength were assessed using a digital spirometer (Pony FX, Cosmed, Italy). Key variables included Forced Vital Capacity (FVC), Peak Expiratory Flow (PEF), Maximum Voluntary Ventilation (MVV), Forced Expiratory Volume in one second (FEV1), and Maximum Inspiratory/Expiratory Pressure (MIP/MEP). Results: High-level athletes with prior COVID-19 infection exhibited significant differences in the correlations (p < 0.05) between FVC and PEF, FVC and MVV, FEV1 and FEV1/FVC, and MIP and MVV compared to controls. Conclusions: These findings suggest that COVID-19 can disrupt the interrelationships among respiratory function parameters in high-level athletes, highlighting the need for further longitudinal investigations.
AtıfScopus1OpenAlex1
İncele - MakaleAçık Erişim2026Scopus SJRQ2Impact of probiotics and β-glucan on the detoxification and gastrointestinal bioaccessibility of aflatoxin B1 in a cereal-based fermented beverage (boza)
Macit, Arife; Sevim, Sumeyra; Sancak, Banu; Kizil, Mevlude
The aim of this study was to investigate the effects of Lactobacillus leichmannii as a probiotic bacteria, Saccharomyces boulardii as a yeast, and β-glucan as a prebiotic on the binding ability of aflatoxin B1 (AFB1) and its bioaccessibility in a cereal-based fermented beverage. For this purpose, nine study groups with their combinations were formed. The amount of unbound AFB1 was determined by high performance liquid chromatography (HPLC) after incubation and during the stomach, small intestine, and colon stages using an in vitro digestion model. After incubation, the highest percentage of AFB1 binding (27.79%) was obtained with S. boulardii. The lowest bioaccessibility was observed with L. leichmannii + S. boulardii at the stomach stage (41%), L. leichmannii + β-glucan at the small intestine stage (52%), and L. leichmannii + S. boulardii + β-glucan at the colon stage (35%). These findings suggest that probiotics and prebiotics reduce aflatoxin bioaccessibility, thereby limiting gastrointestinal absorption.
- MakaleYalnız künye2025Scopus SJRQ1Median-Linear model for solar radiation estimation by comparison with ANFIS and Angström-Prescott methods
Acar, Ramazan; Saplıoğlu, Kemal; Güçlü, Yavuz Selim
This paper aims to propose a novel approach to estimating solar radiation in relation to sunshine duration. A hybrid Median-Linear (MedLin) model is presented including both the median value and the linear solar radiation equation. First stage is concerned with two-stage alternative of the proposed model with inputs and outputs exhibiting a seasonality structure and it is seasonally adjusted using median values. In the second stage, the linear equation for the difference values is determined with estimations the difference in solar radiation. Finally, the median value and the estimated difference value are added. Monthly total solar radiation values are estimated using monthly total sunshine duration data from Mardin, Adana, Bozova, Hakkari, Şırnak, and Van stations in Southeast of Türkiye for the application. The predictions of the MedLin approach are compared with the results of the Angström-Prescott, ANFIS, and Mean-Linear (MeanLin) models. As for the prediction of monthly total solar radiation data at Mardin and Hakkari stations, the proposed MedLin approach yields the best results compared to other methods with mean absolute percentage error 3.508% and 8.951%, respectively. Angström-Prescott model for Adana, MeanLin method for Bozova, ANFIS model for Şırnak, and MeanLin model for Van provided the best predictions with mean absolute percentage error 3.721%, 3.285%, 4.278%, and 13.101%, respectively. The results show that the MedLin technique proposed in this paper is useful for solar radiation estimation.
AtıfWoS1İncele - MakaleAçık Erişim2025Scopus SJRQ2Synthesis and characterization of oligomers contain phenylhydrazyne unit via oxidative polycondensation: Adsorption studies, kinetic modeling and validation methods
Bayır, Erdal; Solmaz, Adnan; Kaya, İsmet; Yağmur, Hatice Karaer
In this study, 4-((2-phenylhydrazono)methyl)benzene-1,2-diol (4-PHBD) Schiff base was obtained from the condensation reaction between 3,4-dihydroxybenzaldehyde (3,4-DHBA) and phenylhydrazine (PH). The obtained Schiff base (4-PHBD) was polymerized using H2O2, NaOCl, and O2 oxidants in an aqueous basic medium (10 % KOH) and 4-PHBD was converted to o-(4-PHBD)-P (by H2O2 oxidant), o-(4-PHBD)-H (by NaOCl oxidant) and o-(4-PHBD)-O (by O2 oxidant). The structures of Schiff base and oligomers were characterized with FT-IR, NMR, SEM, TGA, UV-Vis, CV and GPC measurements. The Cyclic Voltammetry and UV-Vis measurements were used to ascertain the compounds' optical (Eg) and electrochemical (Eg’) band gaps, respectively. The Eg values of o-(4-PHBD)-P, o-(4-PHBD)-O and o-(4-PHBD)-H were found be 2.99, 2.63 and 3.26 eV, respectively. o-(4-PHBD)-O was used as an adsorbent in the removal of methylene green (MG) from an aqueous solution. The obtained data were applied to pseudo-first order and pseudo-second order kinetic models. It was determined that the adsorption process obeyed the pseudo first order kinetic model. The kinetic model was validated with R2, RMSE, SSE, SD, Δqe (%), MSE and ARE validation methods. The activation energy (Ea) was calculated as 7.31 kJ mol−1 using the Arrhenius equation. It was determined that the adsorption of MG on o-(4-PHBD)-O was physical adsorption.
AtıfScopus4WoS4OpenAlex3İncele - MakaleAçık Erişim2025Scopus SJRQ4Adsorption of RB-5 Dyestuff onto Boric Acid-Zinc Nanoalloys: Isotherm, Kinetic, and Thermodynamic Investigations
İlhan, Hasan; Güler, Ömer; Şi̇mşek, Tuncay; Alkan, Salih
In this study, boric acid-zinc (BA-Zn) nanoalloys were employed as an adsorbent for the removal of RB-5 dyestuff from aqueous solutions. The investigation focused on analyzing the impact of the initial dyestuff concentration, solution pH, temperature, and equilibrium contact time on the adsorption process of RB-5. The adsorption behavior of RB-5 onto the surface of BA-Zn-nanoalloys was explored, with a particular emphasis on the influence of initial dyestuff concentration and solution pH. The adsorption equilibrium data were subjected to analysis using Langmuir, Freundlich, DRK, and Temkin isotherm models. The results revealed a consistent alignment of RB-5 adsorption with both Langmuir and Temkin isotherms. Notably, the Langmuir adsorption capacity of BA-Zn-nanoparticles for RB-5 adsorption was determined to be 11.77mg / g at a temperature of 25°C. In the Temkin isotherm model, an adsorption constant (AT) of 1.003 was obtained. The calculated adsorption energy from the DR adsorption model was 1.09kJ / mol, implying a physical interaction-driven adsorption process. The empirical data further exhibited conformity with the pseudo-second order kinetic model, reflecting the rate-limiting step and overall kinetics of the adsorption process. Complementary to this, thermodynamic parameters such as enthalpy (ΔH0), Gibbs free energy (ΔG0), and entropy (ΔS0) were evaluated to discern the energetics of BA-Zn-nanoparticle RB-5 adsorption. This study not only underscores the effectiveness of BA-Zn nanoalloys as a potential adsorbent for RB-5 dyestuff removal but also contributes to the understanding of the underlying adsorption mechanisms and energetics. The insights gained hold implications for the development of sustainable and efficient strategies for wastewater treatment and environmental protection.
- MakaleAçık Erişim2026Scopus SJRQ1Multi-Task NILM with Anomaly Detection Using a Hybrid CNN–BilSTM–Transformer Model
Gunay, Mihriban; Demir, Yakup; Zhilevski, Marin
Non-Intrusive Load Monitoring (NILM) enables estimation of the energy use of individual appliances in smart buildings from a single aggregate meter. In practice, however, this task is not straightforward. Signals from different appliances can overlap, and the measured data may also include distortions such as spikes, drops, and noise. To address these issues, this study presents a multi-task triple-hybrid deep learning framework that handles appliance classification and anomaly detection together. The model brings together 1D-CNN, BiLSTM, and Transformer Attention so that local patterns, temporal dependencies, and wider contextual information can be learned within the same structure. It also uses a dual-output design to classify appliance categories and detect anomaly types simultaneously. Experiments were carried out on Building 1 of the UK-DALE dataset with four appliances: kettle, microwave, washer dryer, and fridge freezer. For the anomaly task, synthetic disturbances were added to segmented signal windows and grouped as normal, spike, drop, and noise. To check how well the proposed framework handled different scenarios, it was tested on both the UK-DALE and REDD datasets. Looking at the main UK-DALE results, the model correctly identified appliances 99.48% of the time and spotted anomalies with 98.80% accuracy. A secondary test on the REDD dataset yielded an 86.44% classification score. This proves the architecture can adjust to completely new power grid environments without losing its edge. On top of that, when pitted against standard benchmark models like Seq2Point, this triple-hybrid design clearly does a better job of mapping out complex signal changes. As a result, it yields much stronger anomaly detection metrics.
AtıfOpenAlex1İncele - Kitap BölümüYalnız künye2025Effects of digital transformation on cost and management accounting
Uluç, Seher Meral
- MakaleYalnız künye2025Scopus SJRQ3Infection transmission risk analysis in Covid-19 intensive care nurses
Şahin, Melek; Şenel, Bilgin; Şenel, Mine; Ünlükal, Ceren
The coronavirus pandemic, which affects the whole world, continues to spread rapidly. The pandemic has reached a serious extent and the risks are getting deeper. The sector most affected by the pandemic has been the health sector and health personnel have become an indispensable element of this process. The people at highest risk of being infected are nurses who are in contact with or are responsible for the care of COVID-19 patients. This study was conducted to investigate the transmission risk of COVID-19 infection among nurses who care for patients in intensive care units.In this study, to prevent the transmission of infection from patient to nurse, possible failures in the process were determined by experts selected from nurses, and risk analyses were performed using Failure Mode and Effects Analysis and Entrophy-based Grey Relational Analysis methods. In this study, the three most probable and high-priority failure types were determined in the failures made in the procedures for the transmission of the infection from the patient to the nurse.There is a need to increase the quantity and quality of intensive care unit care personnel to manage new waves of COVID-19 or possible pandemic situations effectively.
- MakaleAçık Erişim2026Scopus SJRQ1Affective States of Academics: The Dissolving Fantasy of the ‘Good Academy’
Gülçiçek, Demet; Erdoğan, Emine
Drawing on the affective trajectories of academics in social science and humanities departments, this article asks how they imagine a ‘good academy’ and how they navigate the tension between that imagination and the demands of contemporary university regulations. Based on sixteen in-depth interviews with early-career researchers in Ankara, Turkey, it traces how academics narrate their affective relationship with the academy. Bringing together Berlant's conceptualisation of cruel optimism and Ngai's analysis of low-key affective states such as ugly feelings, the article shows that the attachment to the good academy is narrated as something that obstructs flourishing due to the institutional demands in higher education. This in-betweenness is analysed in relation to loosening attachment to the academy that is produced by a mood of irritation.
- MakaleAçık Erişim2025Scopus SJRQ1Unlocking the potential of nutmeg oil: A sustainable alternative for rainbow trout anesthesia in aquaculture
Minaz, Mert; Er, Akif; Ak, Kübra; Serdar, Osman
In aquaculture, interest in natural anesthetic agents as alternatives to synthetic anesthetics has been steadily increasing. This is due to concerns over residue accumulation, environmental impact, and growing demand for sustainable practices. Within this context, the present study focused on the anesthetic effects of nutmeg essential oil at three different concentrations in rainbow trout (Oncorhynchus mykiss, 94.42 ± 23.9 g): low (400 µL/L), medium (600 µL/L), and high (800 µL/L). Induction and recovery times were recorded, and samples were collected at 0, 2, 4, and 8 hours post-anesthesia for antioxidant, cortisol, and hematological analyses. Additionally, gill tissues were sampled immediately after anesthesia for histological examination. While the induction time for the low concentration exceeded 3 minutes, the induction and recovery times for the other concentrations ranged within acceptable limits (3 min for induction and 5 min for recovery). Blood parameters exhibited an increasing trend until the 4th hour post-anesthesia, peaking at the 2nd hour, before returning to control levels by the 4th hour. Histological evaluation revealed healthy gill tissues in the control and low-concentration group (400 µL/L), whereas hyperplasia was observed in the medium (600 µL/L) and high-concentration (800 µL/L) groups. Antioxidant enzyme activity (superoxide dismutase (SOD), catalase (CAT), malondialdehyde (MDA), and glutathione peroxidase (GSH-Px)) indicated potential oxidative stress at the high anesthetic concentration. Similarly, cortisol levels were higher at the high concentration, with plasma cortisol showing a slight initial increase followed by a return to normal levels over time. In conclusion, this study highlights that nutmeg oil at a concentration of 600 µL/L may serve as a promising natural alternative to synthetic anesthetics in aquaculture. However, future studies should include a synthetic anesthetic as a control to allow for direct comparisons and a more comprehensive evaluation of its efficacy and physiological effects.
AtıfScopus8WoS7OpenAlex7İncele - MakaleYalnız künye2025Scopus SJRQ2Evaluation of Nano-Zinc Borate Effects on Thermal Properties, Morphology, Antibacterial Activity, and Drug Release Behavior of Starch/Gelatin Hydrogel Films for Biomedical Applications
Koçak, Berna; Gürler, Nedim; İpek, Yeliz; Yazdıç, Ferit Can; Karaman, Altuğ
Starch and gelatin offer opportunities for use due to their non-toxicity, biocompatibility, physical and functional properties. In this study, different amounts of nano-zinc borate were added to starch/gelatin composition for biological applications and their properties were studied. The structure of the films was investigated by various techniques. Nanostructured zinc borate was synthesized using a chemical method and particle sizes were determined as 196 nm. The atenolol drug was doped into the polymer composite. The atenolol release was performed at pH 7.4 and in phosphate-buffered saline solution medium. Cumulative drug release was 76% with the inclusion of nano-zinc borate in the polymer mixture. The atenolol release was approximately 50%–70% in films with nano-zinc borate added after 300 min. Furthermore, thermal resistance of the films improved with the addition of nano-zinc borate. The investigated chemical compound exhibited pronounced antibacterial activity against Gram-positive bacteria (Bacillus subtilis and Staphylococcus aureus), with significantly greater potency compared to Gram-negative bacteria (E. coli and Pseudomonas aeruginosa). Notably, the formulation containing 1.5% starch, 0.5% gelatin, and 1% nano-zinc borate demonstrated broad-spectrum efficacy against all tested pathogens, highlighting its potential as a promising antibacterial agent. The observed differential activity against bacterial strains suggests that fine-tuning the concentrations of starch, gelatin, and nano-zinc borate may optimize antibacterial efficacy and broaden the spectrum. The results showed us that non-toxic and biocompatible polymer films can be realized in pharmaceutical industry systems and biomedical applications.
- MakaleAçık Erişim2026Scopus SJRQ1A Metric-Driven Evaluation Framework for Remaining Useful Life Prognosis with Quantified Uncertainty
Vashishtha, Govind; Chauhan, Sumika; Ertarğın, Merve
This paper introduces a novel metric-driven evaluation framework for Remaining Useful Life (RUL) prognosis in rotating machinery, featuring robust uncertainty quantification. Accurate RUL prediction is vital for optimizing maintenance and preventing failures, but existing methods often struggle with complex nonlinear degradation or lack reliable uncertainty estimates. Our proposed framework integrates a probabilistic Deep State Space Model (DSSM) with a variational inference approach to model complex, non-linear degradation trends and inherent aleatoric uncertainty. A key innovation is the use of the Slime Mold Algorithm (SMA) for efficient hyperparameter optimization, ensuring maximum accuracy. Furthermore, an online adaptation mechanism, governed by a heuristic reinforcement learning agent, allows the model to continuously update its knowledge and adapt to concept drift in real-time. Experimental validation on the IMS bearing dataset demonstrates superior RUL prediction accuracy, evidenced by the lowest Root Mean Square Error (RMSE) of 8.1829 cycles, and a PICP of 0.59416. This dual capability makes the framework highly suitable for real-world predictive maintenance, enhancing safety and reliability.
- MakaleAçık Erişim2025Scopus SJRQ1The Mediating Role of Physical Literacy in the Relationship Between e-Health Literacy and a Sustainable Healthy Lifestyle Among Adolescents
Akarsu, Mehmet; Güllü, Mehmet; Günata, Gül Polat; Kızılkaya, Aysel; Aydın, Savaş; Özcan, Ecesu; Norman, Göktuğ; Kurhan, Cihad Onur
Background: It is well-established that, for adolescents to adopt sustainable healthy lifestyle behaviors, not only access to information but also the skills required to translate that information into action are critical. In this field, research that examines the relationship between e-health literacy and sustainable healthy lifestyle behaviors within the context of physical literacy is notably scarce. In this context, the aim of this study is to examine the effect of e-health literacy on a sustainable healthy lifestyle and to evaluate the mediating role of physical literacy in this relationship. Methods: A total of 835 adolescents from high schools across Türkiye voluntarily participated in this study. During the data collection process, the e-Health Literacy Scale, the Perceived Physical Literacy Scale, and the Healthy and Sustainable Lifestyle Scale were utilized. Data were analyzed using the JASP (version 0.18.3.0) software. Correlation analysis and structural equation modeling were conducted, and the bootstrap method (n = 5000) was employed for mediation analysis. Results: The effect of e-health literacy on a sustainable healthy lifestyle was found to be positive and statistically significant (β = 0.452, p < 0.001). Similarly, e-health literacy significantly predicted physical literacy (β = 0.755, p < 0.001), and physical literacy significantly predicted a sustainable healthy lifestyle (β = 0.310, p < 0.001). The mediating effect was also statistically significant (β = 0.234, p < 0.001). The model explained 32% of the variance in healthy lifestyle behaviors. Conclusions: The findings indicate that evaluating e-health literacy and physical literacy together provides a holistic approach to fostering sustainable healthy lifestyle habits among adolescents. It is recommended that intervention programs be structured to encompass both areas of competence.
AtıfScopus4OpenAlex6İncele - MakaleAçık Erişim2025Scopus SJRQ2Synthesis of New Copolymer and Genotoxic Effects on Triticum aestivum L. (Wheat) Root Tip Cells
Taşar, Neslihan; Torgut, Gülben
In the present study, a copolymer of poly(N,N-dimethylacrylamide) and sodium acrylate was synthesized with the Solution Polymerization Technique. The purpose was to uncover the cytotoxic and genotoxic effects on root tip cells of the Triticum aestivum L. plant germinated with this polymer at different concentrations (25, 50, 100, and 200 ppm). The deposition of poly(DMAA-co-NaAc) copolymer in the study sample T. aestivum was demonstrated with the FTIR, UV–VIS spectroscopy analysis, X-Ray Diffraction (XRD) Spectroscopy, Scanning Electron Microscopy (SEM), SEM Element Map, and Energy Dispersive Spectroscopy (EDS) Spectrum. All concentrations of the poly(DMAA-co-NaAc) copolymer caused a decrease in the Mitotic Index (MI). The poly(DMAA-co-NaAc) copolymer caused various mitotic abnormalities such as loss of genetic material, deconstructed prophase, adhesion, chromosome groupings in metaphase, deconstructed metaphase, C-metaphase, chromosomal loss, chromosomal fracture, deconstructed anaphase, lagging chromosome, fragment, polar aberration, bridge, advancing, star anaphase, multipolarity, and deconstructed telophase. Study results show that poly(DMAA-co-NaAc) copolymer will cause abnormalities in mitosis as a result of its uptake by plants. These results also show that the poly(DMAA-co-NaAc) polymer, which affects organisms, must be produced in a controlled setting to reduce its accumulation in nature and ultimately disposed of in a way that will not harm the environment.
- MakaleYalnız künye2026Scopus SJRQ3Green revolution in nanotechnology: phytogenic CuO nanoparticles for biomedical and pharmaceutical applications
Ceylan, Yusuf; Korkmaz, Nesrin; Kaçan, Fatma N.; Aydin, Ali; Korkmaz, Şengül A.; Yildirim, Ebru Ş.
Copper oxide nanoparticles (CuO NPs) were synthesized using a green approach with Vitis vinifera L. extract, a plant rich in secondary metabolites that act as natural reducing agents. The obtained CuO NPs were characterized by XRD, EDX, and STEM analyses. FT-IR analysis revealed the presence of functional groups originating from plant biomolecules and confirmed the formation of Cu–O bonds, indicating the successful synthesis and stabilization of CuO NPs. XRD confirmed distinctive CuO diffraction peaks at 32.38°, 35.35°, 38.61°, 40.75°, 48.79°, 51.90°, 57.66°, 61.38°, 65.94°, and 75.12°. STEM imaging showed predominantly spherical, well-dispersed nanoparticles with an average size of 23–38 nm. Antibacterial analysis revealed a minimum inhibitory concentration (MIC) of 4 µg mL−1 against Escherichia coli ATCC 25922. In anticancer assays, the CuO NPs demonstrated notable cytotoxicity at both low concentrations and even at levels below the control group in A549, Calu-1, and Saos-2 cancer cell lines, highlighting their strong biomedical potential.
AtıfScopus1WoS1OpenAlex1İncele - MakaleAçık Erişim2026Scopus SJRQ2Design of Fe–35Ni/PCL nanocomposites with coupled magnetic and shape memory properties
Kök, Mediha; Çirak, Z Deniz; Aydin, Handan; Coşkun, Meltem
In this study, poly(ϵ-caprolactone) (PCL)-based nanocomposite films reinforced with a Fe–35%Ni alloy, which possesses a low coefficient of thermal expansion and distinct magnetic properties, were produced. The composites were prepared using the solvent casting method, with the Fe–Ni alloy incorporated into the PCL matrix at different weight ratios (10%–50%). The structural, morphological, thermal, and magnetic properties of the resulting nanocomposites were comprehensively investigated using FTIR (Fourier transform infrared spectroscopy), XRD (X-ray diffraction), SEM (scanning electron microscopy/energy dispersive x-ray spectroscopy), differential scanning calorimetry, TGA (Thermogravimetric analysis) ve (vibrating sample Magnetometry). FTIR results indicated that the Fe–Ni addition does not form chemical bonds with the PCL matrix and that the composite structure is formed through physical interactions. XRD analyses confirmed that the semi-crystalline structure of PCL is preserved and that the Fe–Ni alloy exhibits a face-centered cubic (FCC) crystal structure. SEM images revealed that while a homogeneous distribution is achieved at low doping levels, partial agglomeration occurs at high levels. Thermal analyses showed that Fe–Ni particles increase the degree of crystallization through a nucleation effect and provide a significant increase in melting temperature and crystallinity values, particularly in the 10%–40% range. TGA results revealed that the thermal stability of the composites increased and their decomposition behavior became multi-stage. Magnetic measurements showed that the saturation magnetization increased significantly with increasing Fe–Ni content, and the composites acquired ferromagnetic character. Furthermore, it was determined that the developed composites exhibit distinct shape memory behavior and can return to their original form upon thermal stimulation. The findings indicate that Fe–35%Ni-doped PCL nanocomposites are a promising candidate for multifunctional applications due to their enhanced thermal, magnetic, and smart material properties.
- MakaleYalnız künye2025Scopus SJRQ2Hydrocolloid materials of fish bone-derived in edible films: can hydroxyapatite be an alternative approach to improving fillet shelf life?
Alak, Gonca; Kuzgun, Nermin Karaton
The valorization of industrial fish waste has gained significant scientific interest due to its integrated benefits such as waste management and resource recovery. The aim of this study is to evaluate the effectiveness of fish bones, which is one of the wastes of aquaculture processing and constitutes approximately 9–15% of the waste generated as a result of the process, as a preservative in the food industry within the scope of green chemistry applications, sustainability and green product targets. In line with this objective, in the first stage, hydroxyapatite (HAP) was obtained from the fish bones, in the second stage, chitosan (Ch)-based coating solutions were enriched with HAP at different levels (0.02, 0.04 and 0.08 g / L) and in the last stage, fillets were coated with this solution and fillet quality parameters were monitored by microbiological, chemical and sensory analyses at certain intervals (0, 3, 6, 9 and 12 days) during 12 days of storage (at + 4 °C). Based on the data obtained during the storage period, the shelf life of control (Chitosan, Ch). chitosan + low HAP (Ch + L-HAP) and chitosan + medium HAP (Ch + M-HAP) fillet groups increased by 50%, 26% and 20%, respectively, compared to chitosan + high HAP (Ch + H-HAP). In the findings obtained, it was determined that the high concentration application (Ch + H-HAP) had a negative effect on all the parameters studied in fillets, and when the data on the last day of storage, especially the microbiological results were taken into consideration, it was determined that the shelf life decreased by 20–50% on average compared to the other concentrations (Ch + L-HAP and Ch + M-HAP) and Ch group and caused serious negativities in sensory parameters. Based on this result, it would be useful to try low and medium levels of this compound in different combinations. These findings indicate that HAP-enriched chitosan coatings have potential as a promising delivery system for the effective and controlled transport of bioactive ingredients in the food industry.
AtıfScopus5WoS5OpenAlex5İncele - MakaleYalnız künye2026Scopus SJRQ1The Effect of Women’s Menstrual Attitudes and Hygiene Practices on Self-Care Behaviors
Yeyğel, Çiler; Yeşiltepe, Akgün
Objective: While menstrual attitudes and hygiene practices are often examined in the literature through informational, risk-based, and cultural lenses, studies that directly address their holistic relationship to self-care behaviors remain limited. This study aims to investigate the impact of women’s menstrual attitudes and hygiene practices on their self-care behaviors. Methods: This is a cross-sectional analytical study. The study was completed between 5 October 2024 and 23 January 2025, with 700 women aged 18–49 in their reproductive period. Data were collected using a Demographic Information Form, the Menstrual Attitude Questionnaire, and the Self-Care Inventory. Spearman’s correlation analysis, the Mann-Whitney U test, and the Kruskal-Wallis test were used for data analysis. To examine nonlinear relationships and multivariable interactions, a Random Forest regression analysis was performed. Results: A positive and statistically significant relationship was found between menstrual attitudes and overall self-care (r = 0.132, p < 0.001). MAQ scores did not differ significantly across variables (p > 0.05). However, SCI scores showed significant differences based on menstrual hygiene education status, type of underwear used during menstruation, hand hygiene practices, and frequency of menstrual material use (p < 0.05). According to the Random Forest regression model, menstrual attitudes were identified as the strongest predictor of self-care behaviors. Conclusions: The results of this study supported the positive influence of women’s menstrual attitudes and hygiene practices on their self-care behaviors. The relationships between self-care and parameters such as menstrual hygiene education, frequency and type of menstrual material use, and hand hygiene during menstruation were clearly demonstrated. Given the limited number of studies in this field, randomized controlled trials and meta-analyses with high levels of evidence are recommended to generalize these results.
- MakaleAçık Erişim2025Scopus SJRQ3Bioactive Compounds and Antioxidant Properties of Mucus from Freshwater Snails Viviparus contectus and Planorbis rubrum
Kocabaş, Filiz Kutluyer; Kocabaş, Mehmet; Kızak, Volkan; Korkmaz, Büşra; Benzer, Fulya; Erişir, Mine
Abstract: As a viscous-elastic substance, snail mucus has a great attention in the medical and cosmetic industries in recent years due to contain many bioactive compounds. Freshwater snails are cosmopolite aquatic invertebrates and distribute nearly all types of inland aquatic bodies due to their adaptive abilities, rapid growth and short life cycles and, the compounds of mucus derived from freshwater snails has not been well documented. Hence, this study focused on identification bio-active ingredients and determination of protein content and antioxidant enzyme activities in freshwater snails Viviparus contectus and Planorbis rubrum mucus. Bioactive constituents of mucus in freshwater snails were characterized by Gas Chromatography-Mass Spectrometry (GC-FID-MS) analysis. Antioxidants (GSH, SOD, CAT and GSH-Px) and protein content were assessed in freshwater snails. Our data revealed that thirteen compounds are characterized with nonadecanoic acid methyl ester (11.57%), nonadecane (5.01%) and heptadecanoic acid methyl ester (4.19%) as the main components of P. rubrum mucus while eleven compounds are characterized with farnesol (11.23%), 5-hydroxymethyl-1,1,4α-Trimethyl-6-methylene-decahydronphthalen-2-ol (9.73%), kaur-16-en-18-oic acid methyl ester (9.64%), tricosane (9.62%), and kaurene (8.44%) as the main components of V. contectus mucus. Nonadecanoic acid methyl ester and nonadecane, known as effective bioactive constituents having antimutagenic and antitumor capability, were determined with 11.57 and 5.01% of the total bio-active composition of P. rubrum mucus, respectively. As a major constituent, farnesol was detected with 11.23% of the total bio-active composition of V. contectus mucus. Moreover, the presence of kaurene, known as a potent bioactive compound for cancer treatment, in notably quantity in V. contectus mucus. In addition, GSH levels and SOD, CAT, and GPx activities was highest level in P. rubrum compared to V. contectus. Protein content was highest level in V. contectus than P. rubrum. Overall, individual compounds of V. contectus and P. rubrum mucus could be isolated and purified and used for the treatment of a variety of human ailments.
- MakaleAçık Erişim2026Scopus SJRQ1Evaluation and Classification of Emergency and Disaster Assembly Areas with ORESTE-Sort
Ozdemir, Umit; Mete, Suleyman; Gul, Muhammet
Emergency and Disaster Assembly Areas (EDAA) are designated safe zones where basic needs can be met until temporary shelters are established following natural or man-made disasters like floods, fires, earthquakes, explosions, or chemical incidents. Promptly relocating disaster victims to these areas is crucial for minimizing loss of life and facilitating effective search and rescue operations by maintaining an uninterrupted flow of information. To prepare for disasters like earthquakes, which cause significant material and emotional damage to large populations, sustainable disaster management must be ensured to evaluate site suitability, correct deficiencies, and avoid inappropriate locations. This study will examine the evaluation criteria for EDAAs established by the Tunceli Provincial Disaster and Emergency Management Authority (AFAD) in terms of area, structure, security, and accessibility, taking into account the region’s specific characteristics. Based on a literature review, eleven criteria have been proposed and ranked using the Besson mean ranking method. Areas have been classified into four categories (e.g., adequate, not suitable) using the optimistic, pessimistic, and comprise approaches of the Assignment Rule Driven by Attitudes (ARDA) and the ORESTE-Sort method. The examination of 19 EDAA provides two perspectives: an optimistic view that recommends classifying eleven areas as first class and using all areas as they are, and a pessimistic view that calls for urgent improvements in three areas and states that one area (EDAA 1) is deemed unsuitable due to its assignment to class (Formula presented.). It is also advised that the second area should not be used, despite being rated as class (Formula presented.), due to its proximity to the river and its slope characteristics. The study also performs a sensitivity analysis of the method and provides recommendations for future research.
AtıfScopus2WoS1İncele
