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Koleksiyondaki öğeler
- Kitap BölümüYalnız künye2026Bio-based and Biodegradable Nanocomposites for Clean Energy Applications
Bozbeyoglu, Pinar; Altuner, Elif Esra
The growing global demand for energy and the environmental concerns associated with fossil fuels have accelerated the search for sustainable alternatives. Bio-based and biodegradable nanocomposites represent a new generation of materials that combine ecological compatibility with superior mechanical, thermal, and electrical properties. This chapter provides a comprehensive overview of bio-based polymer matrices (such as PLA, PHA, PBS, PEF, PVA, and natural polymers like cellulose, chitosan, and lignin) and their integration with nanofillers, including graphene, carbon nanotubes, TiO2, ZnO, and nanoclay. The synergistic effects of these hybrid structures are discussed in the context of clean energy technologies, such as solar cells, fuel cells, batteries, supercapacitors, and piezoelectric nanogenerators. In addition, the chapter highlights green synthesis routes, characterization methods, life cycle assessment (LCA), and industrial perspectives, emphasizing how nanocomposite design bridges performance enhancement with environmental sustainability.
- MakaleAçık Erişim2025Scopus SJRQ1Optimizing CPR performance: the role of body composition and ergonomic positioning
Aygun, Tayfun; Karaoglu, Olcay; Senturk, Hakan; Keskin, Arif; Yucel, Nurullah; Hekimoglu, Gulam
Background: Quality cardiopulmonary resuscitation (CPR) is associated with improved survival rates in prehospital arrest cases. Although CPR guidelines emphasize compression depth, rate, and recoil, individual anatomical and biomechanical factors influencing CPR performance remain underexplored. This study aims to determine the optimal CPR position by focusing on individual positional conditions and anthropometric data to improve CPR effectiveness and guide team member selection in emergency scenarios. Methods: A cross-sectional study involving 123 paramedic associate degree students was conducted. Anthropometric measurements including upper extremity length, biceps circumference, and femur length were obtained. CPR performance was assessed using a feedback-capable mannequin, with data collected on compression depth, frequency, rhythm quality, and compression/decompression ratios. Positional parameters such as knee and hip angles, distance between knees, and distance from the mannequin were recorded and analyzed in relation to CPR outcomes. Results: Male participants demonstrated significantly higher CPR quality scores than females (65.09 ± 28.26 vs. 48.85 ± 27.11, p = 0.004). Positive correlations were found between BMI (r = 0.239, p = 0.008), upper extremity length (r = 0.364, p < 0.001), biceps circumference (r = 0.350, p < 0.001), and CPR quality metrics. A moderate inter-knee position (shoulder-width distance) provided superior compression depth and rhythm stability compared to narrow or wide positions (p < 0.001). Conclusion: Anthropometric and positional factors significantly influence CPR performance. Emergency team members with appropriate physical profiles (e.g., greater muscle mass, limb length, BMI) and adopting occupational ergonomic factors (e.g., moderate knee range, limited joint flexion) may improve CPR quality in the prehospital setting.
AtıfScopus1OpenAlex1
İncele - MakaleAçık Erişim2026Scopus SJRQ1Turkish validation of the CompACT: assessing psychological flexibility among emergency aid and disaster management students
Çınar, Öznur; Oral, Vildan; Turan, Melikşah; Cengiz, Ekrem
Psychological flexibility is a central construct in Acceptance and Commitment Therapy and an important protective factor for mental health, particularly among individuals expected to function effectively under high stress and uncertainty, such as those in emergency aid and disaster management. Despite its relevance for this population, no Turkish version of the Comprehensive Assessment of Acceptance and Commitment Therapy Processes (CompACT) had been available. The present study aimed to perform a cross-cultural adaptation of the English version of CompACT into Turkish and to evaluate its psychometric properties in emergency aid and disaster management students. The study was conducted in two phases: translation and cross-cultural adaptation, followed by psychometric evaluation in a sample of 302 students. Data were analyzed using SPSS v.21 and AMOS v.22 through exploratory and confirmatory factor analyses, reliability analyses, test-retest analysis, and correlational validity testing. The exploratory factor analysis (EFA) showed that the CompACT consisted of three factors (Openness to Experience, Behavioral Awareness, and Valued Action) explaining 75.848% of the total variance, comprising 20 items. Confirmatory factor analysis (CFA) showed that the three-factor model provided the best fit to the data (χ²/df = 2.590, CFI = 0.963, TLI = 0.956, RMSEA = 0.073). The scale demonstrated satisfactory internal consistency (overall alpha = 0.843) and temporal stability (test-retest r > 0.70 across all subscales), and its expected negative associations with the Acceptance and Action Questionnaire-II (r = −0.365) and the Depression Anxiety Stress Scales-21 (r = −0.403) supported its criterion-related validity.
AtıfScopus1WoS1OpenAlex1İncele - MakaleYalnız künye2026Scopus SJRQ2Development of a hybrid technique for solving the Newell–Whitehead–Segel equation using the Caputo–Fabrizio derivative
Şahin, Yasin; Merdan, Mehmet; Açıkgöz, Pınar
Purpose – The aim of the paper titled “Development of a hybrid technique for solving the Newell–Whitehead–Segel (NWS) equation using the Caputo-Fabrizio derivative” is to develop a new numerical method for solving the NWS equation using the Caputo-Fabrizio fractional derivative. This method involves the combination of the Caputo-Fabrizio Elzaki transformation and the q-homotopy analysis transformation method. The study aims to analyze the NWS equation that models the reaction-diffusion dynamics in biological and chemical systems. The convergence analysis of the proposed method is performed, and the obtained solutions are visualized with two- and three-dimensional graphics using the Maple software. The results show that the proposed method is more powerful and effective than the existing methods. Design/methodology/approach – In this study, a hybrid analytical-numerical method is developed to solve the NWS equation formulated using the Caputo-Fabrizio fractional derivative. The method is a combination of: q-homotopy analysis method (q-HATM) and Shehu transformation technique (ST). By combining these two powerful methods, a solution approach that does not require linearization or complex calculations for nonlinear fractional partial differential equations, converges quickly and gives high accuracy results, is presented. The obtained solutions are tested for numerical accuracy and are supported graphically. Findings – In the article titled “Development of a hybrid technique for solving the Newell–Whitehead–Segel equation using the Caputo–Fabrizio derivative”, the authors propose a new hybrid method for solving the time-fractional NWS equation. This method is a combination of the q-HATM and the ST. The proposed q-HSATM provides an efficient and lightweight approach for solving nonlinear fractional partial differential equations without requiring linearization, discretization or complex polynomials. This hybrid technique obtains the approximate analytical solution of the NWS equation using the Caputo–Fabrizio derivative. The method provides fast convergence and high accuracy with less memory and processing power requirements. It also stands out as a reliable tool for modeling complex systems in applied sciences such as physics, biology and engineering. In conclusion, this study provides an effective and applicable method for solving nonlinear differential equations formulated with the Caputo-Fabrizio derivative, making a significant contribution to the field of fractional calculus. Originality/value – This section of the article titled “Development of a hybrid technique for solving the Newell-Whitehead-Segel equation using the Caputo-Fabrizio derivative” can be summarized as follows: This study is one of the first hybrid q-HATM and ST-based methods developed to solve the NWS equation using the Caputo-Fabrizio fractional derivative operator. Its unique aspects: Unlike traditional methods, it provides models more suitable for physical systems by working with the Caputo-Fabrizio derivative, which includes the memory effect and whose kernel function is not exponential. The presented method presents a new and powerful analytical-numerical technique that can produce approximate solutions with high accuracy without requiring linearization or discretization. The developed technique is valuable not only theoretically but also with its applicability to reaction-diffusion systems in applied sciences.
AtıfScopus3WoS4İncele - MakaleYayıncıda açık erişim2025Scopus SJRQ1Explainable artificial intelligence for rock discontinuity detection from point cloud with ensemble methods
Günen, Mehmet Akif
This study presents a framework for the semi-automatic detection of rock discontinuities using a three-dimensional (3D) point cloud (PC). The process begins by selecting an appropriate neighborhood size, a critical step for feature extraction from the PC. The effects of different neighborhood sizes (k = 5, 10, 20, 50, and 100) have been evaluated to assess their impact on classification performance. After that, 17 geometric and spatial features were extracted from the PC. Next, ensemble methods, AdaBoost.M2, random forest, and decision tree, have been compared with Artificial Neural Networks to classify the main discontinuity sets. The McNemar test indicates that the classifiers are statistically significant. The random forest classifier consistently achieves the highest performance with an accuracy exceeding 95% when using a neighborhood size of k = 100, while recall, F-score, and Cohen's Kappa also demonstrate high success. SHapley Additive exPlanations (SHAP), an Explainable AI technique, has been used to evaluate feature importance and improve the explainability of black-box machine learning models in the context of rock discontinuity classification. The analysis reveals that features such as normal vectors, verticality, and Z-values have the greatest influence on identifying main discontinuity sets, while linearity, planarity, and eigenvalues contribute less, making the model more transparent and easier to understand. After classification, individual discontinuity sets were detected using a revised DBSCAN from the main discontinuity sets. Finally, the orientation parameters of the plane fitted to each discontinuity were derived from the plane parameters obtained using the Random Sample Consensus (RANSAC). Two real-world datasets (obtained from SfM and LiDAR) and one synthetic dataset were used to validate the proposed method, which successfully identified rock discontinuities and their orientation parameters (dip angle/direction).
AtıfScopus15WoS15OpenAlex19İncele - MakaleYalnız künye2026Scopus SJRQ1Towards Sustainable Environment in OECD Nations: The Moderator Role of Renewable Energy in Uncovering the Hidden Link Between Military Expenditure and Ecological Footprint
Ayaydın, Hasan; Ergün, Tolga; Ergün, Hilal Ok; Barut, Abdulkadir; Pilatin, Abdulmuttalip
This study examines the relationships among military spending, renewable energy (RNW), globalisation, economic growth, and ecological footprint in 35 OECD member countries, using data covering 1990–2022. Specifically, this study contributes to this discussion by presenting empirical evidence on the link between military expenditure and ecological footprint, while accounting for the moderating role of RNW in OECD countries. The analysis utilised Kao, Pedroni, and Westerlund cointegration tests, Driscoll-Kraay robust standard error tests, Dumitrescu-Hurlin causality tests, and FMOLS and DOLS techniques for robustness verification. Empirical results show that military spending in OECD countries increases the ecological footprint, leading to environmental degradation. Furthermore, the combined effect of military expenditure and RNW reduces the ecological footprint and contributes to environmental sustainability. The results contribute to the existing literature by underlining the role RNW plays in reducing the ecological footprint of military expenditures and by offering policy recommendations for environmental sustainability. From a managerial and policy perspective, the findings suggest that defense-related institutions and policymakers should integrate environmental sustainability criteria into military planning and procurement strategies. Increasing the use of renewable energy in military infrastructure, logistics, and defense technologies may significantly reduce the ecological footprint associated with military expenditure. Therefore, the transition toward renewable energy supported defense systems can serve as a strategic tool for aligning national security objectives with sustainable development goals.
AtıfScopus1WoS1OpenAlex1İncele - MakaleAçık Erişim2026Scopus SJRQ2Nurse-Led Mobile App Effect on Quality of Life in Breast Cancer Patients After Surgery: Nonrandomized Controlled Prospective Cohort Study (Step 3)
Aydin, Aydanur; Gürsoy, Ayla
Background: – Following surgery, women with breast cancer (BC) frequently experience emotional and physiological negative consequences. Objective: – To evaluate the effect of a nurse-led mobile app (NL-Mapp) intervention on quality of life (QoL) in patients after surgery for BC. Methods: – This single-center, 12-month, nonrandomized controlled trial, with 2 parallel groups, represents the final stage of 3-step research. In this study, women were assigned to either the intervention (n = 45) or control (n = 45) group. The intervention group participated in the NL-Mapp, whereas participants in the control group received standard care. The main outcomes were measured using the Functional Assessment of Cancer Therapy—Breast at 3 time points (baseline and 1 and 12 months after the intervention). Clinical Trial number: NCT06505538 Results: – The intervention participants reported significant improvement in physical well-being, emotional well-being, and the BC-specific subscale compared with the control group at the 1-month postsurgery mark. Equally noteworthy, at the 1-year follow-up, consistent improvements were observed across all QoL subscale scores for the intervention group, except for the BC-specific subscale for additional concerns. Conclusion: – Our study revealed a notable enhancement in the QoL among postoperative women with BC who utilized the NL-Mapp. This program emerges as an effective intervention for providing short-term and longer-term supportive care to women affected by BC, leading to tangible improvements in their QoL. Implication for Nursing: – The study’s findings offer valuable evidence supporting the integration of mobile health services into clinical and transitional nursing care.
AtıfScopus3WoS4OpenAlex4İncele - MakaleYalnız künye2026Scopus SJRQ2Changes in BMI, lipid profile, disease perception, and quality of life among myocardial infarction patients participating in a 12-week green walking: A quasi-experimental study
Cin, Aynur; Hintistan, Sevilay
Objective This study assessed the 12-week intervention of green walking on BMI, blood lipids, disease perception, and quality of life among myocardial infarction patients. Methods In a quasi-experimental design, 60 participants (28 men, 32 women; aged 36–77 years) were assigned to intervention (green walk) or control (routine care) groups based on geographic convenience. The green walking group performed high-intensity interval walking for 50 min three times a week in a natural setting for 12 weeks. Adherence was monitored via attendance logs, with a mean of 91.7 % (SD 7.1 %). Primary outcomes included BMI and lipid profiles, while secondary outcomes included perceived illness and quality of life, assessed through validated questionnaires. A mixed-design model incorporating time-group interaction was used for analysis. Data were analyzed using mixed-design ANOVA, repeated-measures ANOVA, paired t-tests, Friedman tests, and Wilcoxon tests. Results The green walk group showed improvements in several measures including a reduction in BMI and positive changes in lipid profiles and disease perception scores with enhanced quality of life for both groups. The mean differences between groups for weight, BMI, and concerns over medication were not significant. No severe adverse events were recorded during the entire 12-week program. Conclusions Participation in the green walking program for 12 weeks is associated with favorable trends in BMI, lipid levels, disease perception, and quality of life among myocardial infarction patients which structured green walking can be an aid toward improving well-being during cardiac rehabilitation; however further randomized controlled studies will substantive such an association.
- MakaleAçık Erişim2025Scopus SJRQ2A novel equation synthesis for estimating resting energy expenditure in prostate cancer patients
Tek, Nilüfer Acar; Koçak, Tevfik; Yeşil, Süleyman; Sözen, Tevfik Sinan
Background: An accurate calculation of energy expenditure (REE) is necessary for estimating energy needs in malign prostate cancer. The purpose of this research was to evaluate the accuracy of the established novel equation for predicting REE in malign and benign prostate patients versus the accuracy of the previously used predictive equations based on REE measured by indirect calorimetry. Methods: The study was conducted as a cross-sectional case-control study and between December 2020 and May 2021 with 40 individuals over the age of 40 who applied to the Urology Clinic of Gazi University Faculty of Medicine. Subjects with 41 malign prostate and 42 benign prostate patients were both over the age of 40 (65.3 ± 6.30 years) and recruited for the study. Cosmed-FitMate GS Indirect Calorimetry with Canopyhood (Rome, Italy) was used to measure REE. A full body composition analysis and anthropometric measurements were taken. Clinical trial number: Not applicable. Results: Malign prostate group PSA Total and measured REE values (4.93 ± 5.44 ng/ml, 1722.9 ± 272.69 kcal/d, respectively) were statistically significantly higher than benign group (1.76 ± 0.73 ng/ml, 1670.5 ± 266.76 kcal/d, respectively) (p = 0.022). Malign prostate group (MPG) and benign prostate group (BPG) have the highest percentage of the accurate prediction value of Eq. 80.9% (novel equation MPG) and 64.2% (novel equation BPG). The bias of the equations varied from − 36.5% (Barcellos II Equation) to 19.2% (Mifflin-St. Jeor equation) for the malign prostate group and varied from − 41.1% (Barcellos II Equation) to 17.7% (Mifflin-St. Jeor equation) in the benign prostate group. The smallest root mean squared error (RMSE) values in the malign and benign prostate groups were novel equation MPG (149 kcal/d) and novel equation BPG (202 kcal/d). The new specific equation for malign prostate cancer: REE = 3192,258+ (208,326* body weight (WT)) - (20,285* height (HT)) - (187,549* fat free mass (FFM)) - (203,214* fat mass (FM)) + (4,194* prostate specific antigen total (PSAT)). The new specific equation for the benign prostate group is REE = 615,922+ (13,094*WT). Bland-Altman plots reveal an equally random distribution of novel equations in the malign and benign prostate groups. Conclusions: Previously established prediction equations for REE may be inconsistent. Utilising the PSAT parameter, we formulated novel energy prediction equations specific to prostate cancer. In any case, the novel predictive equations enable clinicians to estimate REE in people with malign and benign prostate groups with sufficient and most acceptable accuracy.
AtıfScopus1WoS1OpenAlex1İncele - MakaleYalnız künye2026Scopus SJRQ3Cash holdings in an emerging market technology sector: evidence from BIST firms within the trade-off and pecking order frameworks
Pala, Fahrettin; Karalı, Muhammet; Karabayır, Mehmet Emin; Henni, Mohamed Djafar; Barut, Abdulkadir
This study investigates the determinants of corporate cash holdings in technology firms listed on Borsa İstanbul (BIST) by integrating the Trade-off Theory and the Pecking Order Theory. Using annual panel data covering the period 2013–2023, the study examines how firm-specific characteristics and macroeconomic factors influence corporate liquidity decisions in an R&D-intensive sector. The empirical analysis is conducted using a random-effects panel model estimated with Driscoll–Kraay standard errors to account for heteroskedasticity, autocorrelation, and cross-sectional dependence. The robustness of the findings is further assessed through firm fixed-effects, firm-and-year fixed-effects, one-year lagged specifications, and an interaction analysis. The results show that profitability is the most important determinant of corporate cash holdings, providing strong support for the Pecking Order Theory, whereas financial leverage exhibits a weak negative effect. In contrast, firm size, liquidity needs, R&D expenditures, dividend payments, GDP growth, and interest rates do not have statistically significant direct effects on cash holdings, while inflation exhibits weak evidence of a negative relationship. Moreover, the interaction analysis reveals that interest rates positively moderate the relationship between R&D expenditures and corporate cash holdings, indicating that innovation-oriented technology firms tend to retain larger cash reserves under tighter monetary conditions. The findings highlight that macroeconomic conditions influence corporate cash holdings not only directly but also through their interaction with firm-specific characteristics. The study contributes to the corporate finance literature by providing new evidence from an emerging market and offers practical implications for corporate managers and policymakers in designing effective corporate liquidity management strategies under changing monetary conditions.
- MakaleAçık Erişim2018Scopus SJRQ3Antioxidant activity, sugar content and phenolic profiling of blueberries cultivars: A comprehensive comparison
Okan, Onur Tolga; Deniz, Ilhan; Yayli, Nurettin; Şat, Ihsan Güngör; öz, Mehmet; Serdar, Gönül Hatipoğlu
Commercial blueberry production has been a viable industry throughout the world for 95 years; because of blueberry is a good source of antioxidant. Blueberries are especially rich in anthocyanin, a flavonoid with potent antioxidant capacity. The aim of this study was to compare the phenolic quantities, antioxidant activities, anthocyanin, sugar and phenolic compounds of blueberries produced in Turkey with those of similar blueberry varieties produced around the world. As a result of the conducted analysis, the total phenolic content (TPC) amount found in the berries was 77.26-215.12 mg GAE/100 g, the total flavonoid content (TFC) was 30.44-91.69 mg QE/100 g and the total anthocyanin content (TAC) was 43.03-295.06 mg c3- GE/100 g. Examining the antioxidant activities of the berries, DPPH between 1.10-5.65 mg/ml, FRAP between 454.93- 36832.96 μmol troloks/100 g, β-Carotene between 40.66-86.48%. It was determined that the natural berries contained much more phenolic compounds and higher antioxidant activity than that of the cultivars The result of HPLC analysis, chlorogenic acid is determined to be the dominant compound in all berries. Furthermore, fructose and glucose are found in all fruits in different quantities while sucrose is found in certain varieties of berries as well. At the end of the performed study the data indicate that wild and cultivars of blueberries are rich sources of antioxidants for local as well international industries importing this fruit for food processing and enormous products.
AtıfScopus70WoS69OpenAlex76İncele - BildiriAçık Erişim2018Tribological Behaviour of Ti:Ta-DLC Films under Different Tribo-Test Conditions
Efeoglu, İhsan; Keleş, Ayşenur; Totik, Yaşar; Cicek, Hikmet; Süküroglu, Ebru Emine
Diamond-like carbon (DLC) films are suitable applicants for cutting tools due to their high hardness, low friction coefficient and wear rate. Doping metals in DLC films have been improved its tribological properties. In this study, titanium and tantalum doped hydrogenated DLC films were deposited by closed-field unbalanced magnetron sputtering system onto M2 high speed steels in Ar/N2/C2H2 atmosphere. The friction and wear properties of Ti:Ta-DLC film were investigated under different tribo-test conditions including in atmospheric pressure, distilled water, commercial oil and Ar atmosphere. The coated specimens were characterized by SEM and X-ray diffraction techniques. The bonding state of C-C (sp3) and C=C (sp2) were obtained with XPS. The tribological properties of Ti:Ta-DLC were investigated with pin-on-disc wear test. Hardness measurements performed by micro-indentation. Our results suggest that Ti:Ta-doped DLC film shows very dense columnar microstructure, high hardness (38.2 GPa) with low CoF (μ ≈0.02) and high wear resistance (0.5E-6 mm3/Nm).
AtıfScopus7WoS5OpenAlex8İncele - MakaleAçık Erişim2017Scopus SJRQ1Rice bran improve probiotic viability in yoghurt and provide added antioxidative benefits
Demirci, Talha; Aktaş, Kübra; Sözeri, Didem; Öztürk, Hale İnci; Akın, Nihat
Experimental yoghurts were made with 13% reconstituted skim milk supplemented with 1, 2, 3% rice bran (RB) and inoculated with probiotic culture of Lactobacillus casei 431. The products were stored at 4 °C for 3 weeks. During this period, the viability of the probiotic L. casei 431 strain and yoghurt starter cultures were evaluated. In addition to this, some physicochemical, antioxidative and sensory properties of yoghurts were also determined. L. casei 431 remained above the 8 log CFU/g throughout the storage period in yoghurts fortified with 2% and 3% RB. Addition of rice bran decreased the syneresis and viscosity values whereas it increased scavenging activities of DPPH radical. However, yoghurts with RB had less sensory scores compared to plain yoghurt.
AtıfScopus115WoS91İncele - MakaleAçık Erişim2016Scopus SJRQ3Mediostoma izmirica sp. nov.: A new harvestman species (Arachnida, Opiliones, Nemastomatidae) from Turkey
Snegovaya, Nataly Yu.; Kurt, Kemal; Yağmur, Ersen A.
A new harvestman species of the genus Mediostoma Kratochvil, 1958, Mediostoma izmirica sp. nov., is described and illustrated based on males and females from İzmir Province, Turkey. Differences between the new species and other species of the genus Mediostoma are indicated. Scanning electron microscope photographs of its characteristic structures are also given.
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İncele - MakaleYalnız künye2017Scopus SJRQ2The effect of TiO2 coating on biological NiTi alloys after micro-arc oxidation treatment for corrosion resistance
Sukuroglu, Ebru Emine; Sukuroglu, Suleyman; Akar, Kubra; Totik, Yasar; Efeoglu, Ihsan; Arslan, Ersin
NiTi alloys exhibit good properties, such as shape memory behavior, high corrosion resistant, having the closest elasticity modulus of a human bone and superior biocompatibility properties. However, the surface problems that arise during the use of this alloy limit the usage in the industry and health sector. In recent years, micro-arc oxidation method is used to improve the surface properties and increase the usage of these alloys. In this study, the TiO2 coatings were deposited on the NiTi substrates. The surface topography, morphology, crystallographic structure, and thickness of the coatings were determined using scanning electron microscopy and X-ray diffraction. The corrosion properties were investigated using potentiostat test unit in two different media such as NaCl solution and simulated body fluid. The results show that the coated samples have higher corrosion resistance than uncoated samples in the two different media.
AtıfScopus10WoS11OpenAlex11İncele - MakaleYalnız künye2016Scopus SJRQ2Estimation of the temperature profiles of reinforced concrete cross sections exposed to standard fires by using artificial neural networks with different topologies
Albayrak, Selahattin; Burnaz, Oğuz
The thermal analysis in structural members can be extremely complex, especially for materials that retain moisture and have a low thermal conductivity. The simplest method of defining the temperature profile through the cross section is to use test data presented in tables or charts, which are published in codes or design guides. These tabulated data are generally based on standard fire conditions. Annex A of TS-EN1992-1-2 provides a series of calculated temperature profiles for concrete slabs or walls, beams, and columns. But these profiles are given for specific cross-section dimensions and standard fire resistance durations. The main purpose of this study is to estimate the temperature profiles of reinforced concrete beam and column cross sections by using artificial neural networks (ANN) with different topologies. When modeling ANN, it is benefited from multi-layer ANN, which uses supervised learning rule. During training and testing stage of ANN, the results obtained from the aforementioned temperature profiles are used. The temperatures values were read from the temperature profile charts according to standard fire durations, cross-sections height and widths, and x and y coordinates of the points by the reference point. By testing ANN with different topologies in conclusions, its usability, advantages, and disadvantages are evaluated.
AtıfScopus1WoS1OpenAlex1İncele - MakaleAçık Erişim2026Scopus SJRQ1Antibacterial efficacy of pyrolysis-derived plant fractions against resistant pathogens: a comparative evaluation using nutrient and Müller–Hinton agar
Demirel, Maruf Hurşit; Gül, Abdulkadir; Aydoğmuş, Ercan; Özgen, İnanç; Arslanoğlu, Hasan
BACKGROUND: This study investigates the antibacterial potential of pyrolysis-derived extracts from rosehip fruit (RF), orange peel (OP), corn silk (CS), spurge root (ER) and mullein leaf (ML) against antibiotic-resistant pathogens using two different culture media. Bioactive compounds were obtained via a PID-controlled pyrolysis system, and antibacterial activity was evaluated to clarify both extract efficacy and medium-dependent effects on bacterial growth and diffusion. RESULTS: Antibacterial activities were assessed using the agar well diffusion method, with ampicillin as a positive control, against Escherichia coli, Pseudomonas aeruginosa, Staphylococcus aureus and Enterococcus faecalis. A key novelty of this work is the comparative evaluation of extract performance on nutrient agar (NA) and Müller–Hinton agar (MHA). Among all samples, the ML extract exhibited the strongest antibacterial activity across all tested strains, producing inhibition zones of 18.85 mm against E. coli and 17.15 mm against E. faecalis on NA, compared with 13.05 mm and 13.60 mm on MHA, respectively. CS and ER extracts showed moderate antibacterial effects, with consistently higher inhibition zones on NA than on MHA. Ampicillin generated substantially larger inhibition zones on NA (33.35 mm for E. coli and 34.45 mm for P. aeruginosa) compared with MHA (13.80 and 27.70 mm, respectively), confirming the strong influence of culture medium composition on measurable antibacterial activity. CONCLUSION: These results indicate that both plant extracts and ampicillin exhibit higher antibacterial activity on NA than on MHA. The pronounced efficacy of the ML extract highlights pyrolysis-derived plant fractions as promising natural antimicrobials and emphasizes the critical importance of culture medium selection.
AtıfScopus4WoS5OpenAlex5İncele - MakaleYalnız künye2026Scopus SJRQ1The relationship between compassion fatigue and levels of depression, anxiety, and stress in nurses: A multicenter cross-sectional study
Coşar, Dilan Aktepe; Ayyıldız, Neşe Işcan; Şimşekli, Derya
Aim This study aimed to investigate the relationship between compassion fatigue and depression, anxiety, and stress levels in nurses. Method This research is a multicenter, cross-sectional study. The study was conducted with 283 nurses in three state hospitals in northeastern Turkey using a purposive sampling method. Research data were collected by the researchers using a Demographic Form, the Compassion Fatigue Scale (CFS), and the Depression, Anxiety, Stress Scale (DASS-21). Descriptive statistics, normality assessment, one-way ANOVA, t -tests, Pearson correlation and multiple linear regression analysis were performed using SPSS 26 software. Results A total of 283 nurses participated in the study. The mean CFS score was 83.97 ± 13.76, while the mean DASS-21 scores were 8.05 ± 4.10 for depression, 4.89 ± 2.97 for anxiety, and 9.22 ± 4.32 for stress. Correlation and regression analyses revealed a strong positive correlation between compassion fatigue and depression (r = 0.574, p < 0.001), a moderate positive correlation with anxiety (0.349, p < 0.001), and a strong positive correlation with stress (0.583, p < 0.001). Multiple regression analysis revealed that depression, stress, male gender, working as a nursing education specialist, and job dissatisfaction were variables significantly associated with compassion fatigue. Conclusion Based on these results, it is necessary to evaluate compassion fatigue in nurses in conjunction with psychological factors as well as individual and professional characteristics. Furthermore, it is important to support nurses' psychological health, develop strategies to address compassion fatigue, and increase individual resilience.
- MakaleAçık Erişim2026Scopus SJRQ1Depositional Setting of Eastern Sakarya Zone (NE Türkiye): Late Cretaceous–Paleogene Period Biostratigraphy, Sedimentology and Tectono-Sedimentary Basin Evolution
Köroğlu, Fatih
This study reconstructs the late Campanian–Thanetian tectonic and sedimentary evolution of the Eastern Sakarya Zone Basin (Türkiye) during the closure of the Neotethys Ocean, through the integration of tectonic, biostratigraphic and sedimentary data from three distinct tectonic regions: a northern back-arc basin, a central magmatic arc and a southern fore-arc basin. Analysis reveals a northwest-southeast trending basin with pronounced lateral variations: sediment thickness increases west-to-east, while facies transition from pelagic (north) to neritic (south) carbonate. The succession records a shift from late Campanian–Danian pelagic back-arc carbonates, through a Maastrichtian–early Danian hiatus, to late Maastrichtian–Danian hemipelagic-neritic carbonates, culminating in a Selandian–Thanetian neritic platform. The study proposes the first integrated facies model for the Eastern Sakarya Zone, linking its stratigraphic architecture to regional geodynamics. This establishes a new tectonically controlled carbonate sedimentation model for the Eastern Sakarya Zone Basin, critical for understanding basin evolution from pelagic to neritic carbonate systems in a closing ocean setting.
- MakaleAçık Erişim2026Scopus SJRQ3Green-synthesis of iron nanoparticles using wild cherry laurel (Prunus laurocerasus L.) fruit extract and their patulin and HMF adsorption capacities along with biological activities
Kobya, Havva Nur; Gül, Esra; Karpuz, Ömer; Baltacı, Cemalettin
In this study, iron nanoparticles (YBFeNPs) were green-synthesized using the aqueous extract (YB-E) of wild cherry laurel (Prunus laurocerasus L.) fruit to evaluate their potential applications in food safety. The synthesized YBFeNPs were investigated through Fourier-transform infrared spectroscopy, X-ray diffraction, scanning electron microscopy, transmission electron microscopy, and energy-dispersive X-ray spectroscopy analyses. YBFeNPs showed higher total phenolic content, total flavonoid content, and total antioxidant capacity compared to the original extract, suggesting that plant metabolites enhance NP bioactivity. Antioxidant capacity was further validated by DPPH, ABTS, and FRAP assays, which demonstrated strong radical scavenging and reducing power. The antibacterial activity of YBFeNPs was assessed against Escherichia coli, Pseudomonas aeruginosa, Staphylococcus aureus, and Enterococcus faecalis, revealing concentration-dependent effects with the highest inhibition zone of 14.5 ± 0.4 mm for E. coli. The chemical composition of the YB-E extract was analyzed using liquid chromatography-tandem mass spectrometry, identifying quinic acid, a polyol, and phenolic compounds such as chlorogenic acid (1.45 mg/g) and naringenin (0.02 mg/g). Additionally, the adsorption capacities of YBFeNPs were investigated against patulin and hydroxymethylfurfural (HMF), toxic compounds posing significant threats to food safety. The NPs demonstrated effective adsorption of both patulin and HMF, achieving maximum adsorption rates of 61.05% and 46.12%, respectively, at a concentration of 5.0 g/L after 240 min.
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