Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Uzun, Sevda(62)
- Merdan, Mehmet(58)
- Duran, Celal(50)
- Ozdes, Duygu(47)
- Kaygusuz, Abdullah(43)
- Ashyralyyev, Charyyar(38)
- Karsli, Orhan(33)
- Öztürk, Serkan(32)
- Araz, Onur(31)
- Demir, Selim(29)
- Kulakaç, Nurşen(29)
- Dokuz, Abdurrahman(28)
- Arslan, Mehmet(27)
- Baltacı, Cemalettin(27)
- Maden, Nafiz(27)
- Sipahi, Ferkan(27)
- Topal, Fevzi(27)
- Turan, Ibrahim(27)
- Kandemir, Raif(25)
- Kurt, Kemal(24)
- Ozturk, Samet(24)
- Peker, Iskender(24)
- Vural, Alaaddin(24)
- Reis, Hatice Catal(23)
- Yücel, Cem(23)
- Aydin, Faruk(22)
- Baltaci, Cemalettin(22)
- Gücer, Mehmet Ali(22)
- Günen, Mehmet Akif(22)
- Kankal, Murat(22)
- Topal, Meryem(22)
- Karimullah, Suud Sarim(21)
- Uysal, Ibrahim(20)
- Kurnaz, Muammer(19)
- Tuncer, Metin(19)
- Yolcu, Halil(19)
- Çelik, Necati(19)
- Ürkek, Bayram(19)
- Şan, Murat(19)
- Aliyazicioglu, Yuksel(18)
Yayınlar
- MakaleAçık Erişim2025Scopus SJRQ1Post-seismic structural assessment: advanced crack detection through complex feature extraction using pre-trained deep learning and machine learning integration
Reis, Hatice Catal; Turk, Veysel; Ustuner, Mustafa; Kaya Yildiz, Cagla Melisa; Tatli, Ramazan
Earthquakes can often cause significant damage to buildings. After an earthquake, experts/managers need to make quick and accurate damage assessments. Traditionally, manual analysis processes have been widely used in damage assessment studies. The fact that these methods are time-consuming and based on human observation leads to certain limitations in damage assessment studies. In recent years, artificial intelligence techniques such as deep learning and machine learning have frequently been preferred in damage detection studies, and significant success has been achieved. This study aimed to automatically detect cracks/damages in the buildings in Diyarbakir city after the February 6, 2023 Kahramanmaras, Turkey earthquake. Our experimental dataset was collected by the researchers and named Kahramanmaras-Diyarbakir Earthquake Building Crack Dataset (KDBECD-2023). The data set consists of four categories in terms of damage level: undamaged, slightly damaged, moderately damaged, and heavily damaged buildings. DenseNet201 deep learning architecture and popular machine learning algorithms, Support Vector Machine, Random Forest, Decision Tree, and K-Nearest Neighbors (KNN) were used to classify cracks at different damage levels. In the experimental phase, feature extraction was performed with the DenseNet201 architecture. In addition, dimensional reduction was applied with the Principal Component Analysis method to reduce the computational complexity of the proposed hybrid study. According to the experimental results, the DenseNet201-KNN hybrid model gave the most successful result with an accuracy value of 94.62%. The results of this study can make important contributions to decision makers and experts in detecting cracks and damages in buildings after an earthquake.
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- MakaleAçık Erişim2025Scopus SJRQ1Investigation of the effects of mainshock-aftershock sequences on the dynamic responses of pipeline considering soil-pipeline interaction
Ozturk, Kasif Furkan
Pipelines are important structural elements that are frequently used today to meet many infrastructures needs such as drainage, natural gas or water transmission. In this context, the usability of such structures, which are important elements of infrastructure systems, especially after disasters such as earthquakes, is of great importance. For this reason, within the scope of this study, a parametric investigation of the seismic behaviors of a natural gas pipeline system under mainshock-aftershock sequences have been carried out, specifically taking into account the soil-natural gas pipeline interaction (SNGPI) in the help of finite element model (FEM) proposed. Before developing the model of SNGPI system proposed using solid element, the fundamental mode frequencies of the pipeline system modeled using the solid element for the verification have been compared with those of obtained from the pipeline system modeled using the beam element and the analytical solutions. After verification of proposed model is demonstrated, SNGPI system has been modeled and its fundamental modes have been compared with mode frequencies of soil stratum obtained from well-known simple analytic solutions. After this stage, the dynamic analyses of natural gas pipeline (NGP) system in the time domain have been carried out using four different soil systems and four different mainshock-aftershock sequences. The results of the nonlinear time-history analyses have been investigated in terms of the stress and the displacement responses. Parametric evaluations show that the greatest displacements and the stresses occurring at the considered nodes of NGP system may be importantly affected from mainshock-aftershock sequences and soil stiffness changes. As the soil stiffness decreases, both the peak stresses and displacements increased significantly. On the other hand, the same responses obtained under mainshock loadings, which have relatively lower peak ground acceleration (PGA)/peak ground velocity (PGV) ratio compared to aftershock loadings, are generally larger than those obtained under aftershock loadings.
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- MakaleAçık Erişim2025Scopus SJRQ1Soil Amplification and Code Compliance: A Case Study of the 2023 Kahramanmaraş Earthquakes in Hayrullah Neighborhood
Avcı, Eyübhan; Afacan, Kamil Bekir; Deveci, Emre; Uysal, Melih; Altundaş, Suna; Balcı, Mehmet Can
In the earthquakes that occurred in the Pazarcık (Mw = 7.7) and Elbistan (Mw = 7.6) districts of Kahramanmaraş Province on 6 February 2023, many buildings collapsed in the Hayrullah neighborhood of the Onikişubat district. In this study, we investigated whether there was a soil amplification effect on the damage occurring in the Hayrullah neighborhood of the Onikişubat district of Kahramanmaraş Province. Firstly, borehole, SPT, MASW (multi-channel surface wave analysis), microtremor, electrical resistivity tomography (ERT), and vertical electrical sounding (VES) tests were carried out in the field to determine the engineering properties and behavior of soil. Laboratory tests were also conducted using samples obtained from bore holes and field tests. Then, an idealized soil profile was created using the laboratory and field test results, and site dynamic soil behavior analyses were performed on the extracted profile. According to The Turkish Building Code (TBC 2018), the earthquake level DD-2 design spectra of the project site were determined and the average design spectrum was created. Considering the seismicity of the project site and TBC (2018) criteria (according to site-specific faulting, distance, and average shear wave velocity), 11 earthquake ground motion sets were selected and harmonized with DD-2 spectra in short, medium, and long periods. Using scaled motions, the soil profile was excited with 22 different earthquake scenarios and the results were obtained for the equivalent and non-linear models. The analysis showed that the soft soil conditions in the area amplified ground shaking by up to 2.8 times, especially for longer periods (1.0–2.5 s). This level of amplification was consistent with the damage observed in mid- to high-rise buildings, highlighting the important role of local site effects in the structural losses seen during the Kahramanmaraş earthquakes.
AtıfScopus3WoS3OpenAlex3İncele
- MakaleYalnız künye2025Scopus SJRQ2The effect of welding parameters on weld bead geometry in gas tungsten arc welding applications by response surface methodology model
Yildirim, Mehmet Serkan; Ayhan, Emre; Aydin, Kemal; Durgutlu, Ahmet
This study examines the effects of tungsten electrode sharpening angle, torch angle, and arc length on weld bead geometry in gas tungsten arc welding (GTAW). Low-carbon steel plates (4 mm thickness) were welded using ER70S-6 filler wires (2 mm diameter). Experimental analyses and response surface methodology (RSM) revealed that increasing the electrode sharpening angle enhances penetration depth, while reducing the torch angle widens the bead. Longer arc lengths decrease penetration but increase bead width. Validation tests confirmed the accuracy of the RSM models, showing an average deviation of 1.14%. Analysis of variance highlighted the statistical significance of linear, quadratic, and interaction terms in the models. The findings provide critical insights for optimizing GTAW parameters, improving weld quality, and advancing process control, thereby contributing both practical and academic value to welding research.
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- MakaleAçık Erişim2025Scopus SJRQ1Protective Effects of Dexmedetomidine and Amifostine Against Radiotherapy-Induced Kidney Injury
Batcik, Sule; Tumkaya, Levent; Dil, Eyup; Kazancioglu, Leyla; Gaygusuz, Elif; Yazici, Zihni Acar; Ozden, Zulkar; Kilinc, Kagan; Mercantepe, Tolga
Backgrounds: Approximately 18 million individuals were diagnosed with cancer in 2018. The rate is predicted to exceed 22 million by 2030. Radiotherapy is an essential part of cancer therapy, with well documented local and systemic side effects, including oxidative stress and apoptosis. Kidney tissues are also exposed to the deleterious effects of radiotherapy, resulting in acute or chronic kidney function impairment. This study compared the effects of the potent selective α2-adrenoreceptor agonist dexmedetomidine and amifostine on oxidative stress and apoptosis in kidney damage induced by x-irradiation in rats. Methods: Forty Sprague Dawley rats were assigned into five groups: control, x-irradiation, x-irradiation + amifostine, x-irradiation + dexmedetomidine 100 µg/kg, and X-ray irradiation + dexmedetomidine 200 µg/kg. Results: Necrotic tubules and degenerative Bowman’s capsules were present in the x-irradiation group. An increase was determined in malondialdehyde (MDA), Cleaved Caspase-3, and 8-OHdG levels compared to the control group (p ≤ 0.05). In contrast, there was a decrease in necrotic tubules, degenerative Bowman’s capsules, and the levels of MDA, Cleaved Caspase-3, and 8-OHdG in the amifostine and dexmedetomidine 100 µg/kg and 200 µg/kg treatment groups (p ≤ 0.05). Conclusions: Alpha 2 adrenergic receptor agonists exhibit protective effects against kidney injury induced in association with x-irradiation by reducing oxidative stress and apoptosis.
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- MakaleAçık Erişim2025Scopus SJRQ1How do green hotel practices affect guests’ behavioral intentions? A PLS-SEM approach; [Como as práticas hoteleiras verdes afetam as intenções comportamentais dos hóspedes? Uma abordagem PLS-SEM]
Genç, Gökhan; Zengin, Burhanettin
This study examines how guests’ perceptions of green hotel practices (GHP) shape their behavioral intentions, drawing on the Theory of Planned Behavior. It explores the extent to which eco-friendly practices influence guests’ loyalty and their likelihood of recommending hotels that prioritize sustainability. Data were collected from 642 hotel guests aged 18 and over who had previous experience with green hotel practices. An online survey was employed, and the data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with bootstrapping techniques to assess the relationships among guests’ perceptions of GHP, satisfaction, and behavioral outcomes. The findings indicate that favorable perceptions of GHP strongly predict guest loyalty and recommendation intentions, with satisfaction as a critical mediator. These results highlight the pivotal role of sustainable practices in fostering positive guest experiences and behaviors in the hospitality industry. The study offers practical insights for hotel managers, enabling them to design and implement effective sustainability strategies that enhance guest satisfaction and loyalty. Furthermore, it contributes to the literature on sustainable tourism by providing robust empirical evidence on the influence of GHP on guest behavior, thus addressing a key gap in hospitality management research.
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- MakaleAçık Erişim2025Scopus SJRQ2Research of Peganum harmala: Phytochemical Content, Mineral Profile, Antioxidant, Antidiabetic, Anticholinergic Properties, and Molecular Docking
İzol, Ebubekir; Turhan, Münire; Yapıcı, İsmail; Necip, Adem; Abdullah Yılmaz, Mustafa; Zengin, Gökhan
Peganum harmala is a significant medicinal, aromatic plant used in traditional medicine and the subject of many studies. In this study, the phytochemical compound and mineral profile of the plant's ethanol extract were identified quantitatively. Antioxidant properties were determined by total phenolic and flavonoid content, FRAP, DPPH, CUPRAC, ABTS, metal chelating, and phosphomolybdenum assays. Antidiabetic, anticholinergic, and skin care properties were specified by the inhibition of tyrosinase, α-glucosidase, α-amylase, butyrylcholinesterase (BChE), and acetylcholinesterase (AChE) enzymes, respectively. In addition, binding interactions of major phytochemicals with all enzymes were investigated by molecular docking studies. The phytochemical compound of the extract contained significant bioactive components such as acacetin, gentisic acid, p-coumaric acid, quinic acid, rutin, apigenin, and chrysin, while the mineral profile was rich in salt elements. AChE, BChE, tyrosinase, α-amylase, and α-glycosidase enzyme inhibitor results were determined as 2.99 mg GALAE/g, 4.14 mg GALAE/g, 35.8 mg KAE/g, 2.76 mmol ACAE/g, and 1.20 mmol ACAE/g, respectively. As a result, it was identified that it had antioxidant properties and strongly inhibited all enzymes except tyrosinase. The docking scores of major bioactive phytochemicals were found to be high. The best binding pose was obtained by docking acacetin into the active site of AChE (PDB: 4EY7), BChE (PDB: 4BDS), α-glucosidase (PDB: 3WY1), α-amylase (PDB: 6GXV) and tyrosinase (PDB: 2Y9X) receptors. Docking score values were calculated as −10.4, −9.2, −8.8, −7.8, and −7.4 kcal/mol, respectively. Thus, it was revealed that P. harmala has an important potential in drug research and treatment of some diseases.
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- BildiriYalnız künye2025Improving Skin Lesion Classification with Pretrained Deep Learning Models
Almasani, Heba; Ture, Hayati
Skin cancer is the most common type of cancer. Cancer can be defined as a disease characterized by the uncontrolled division and spread of cells. As with other types of cancer, early diagnosis and treatment play a crucial role in combating skin cancer. Since diagnosis is made through visual examination, factors such as the level of expertise and image artifacts negatively affect diagnostic accuracy and slow down the process.Computer-aided applications used to analyze such images provide faster and more accurate results. Additionally, these methods eliminate factors that reduce diagnostic accuracy during the classification and segmentation of skin lesions.This study classifies skin cancer to benign or malignant using deep learning and machine learning methods. In particular, Convolutional Neural Networks (CNNs) have shown promising results in medical image classification. The study evaluates six pre-trained CNN models - VGG16, EfficientNetB7, EfficientNetV2L, DenseNet, ConvNeXtBase and MobileNet - for binary skin lesion classification using the ISIC 2019 dataset. The study first preprocesses and balances the data to enhance performance. The results indicate that the ConvNeXtBase model achieved the highest success with accuracy rate of 84.63% after balancing the data that we have.
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- MakaleYayıncıda açık erişim2025The Effect of Heavy Metals in Mining Emissions on Worker’s Blood Lead Levels: A Case Study of The Gumushane Zn-Pb Mine, Turkey
Bozbeyoğlu, Pınar; Doğan, Onur; Budak, Burhan
The wastewater from mining facilities contains toxic elements such as arsenic (As), cadmium (Cd), chromium (Cr), manganese (Mn), zinc (Zn), and lead (Pb). If not disposed of correctly, it can lead to environmental pollution in case of accidents or overflow. Lead-zinc mining activities pose a significant risk of high blood lead levels (BLLs) among workers. Therefore, monitoring the blood lead levels of workers exposed to these heavy metals, especially lead, is crucial. This study aims to determine the levels of potentially harmful elements in the wastewater dam of the largest Zn-Pb mine in the Black Sea Region. It also seeks to assess the environmental and human health risks comprehensively. Additionally, the study aims to establish a relationship between the levels of lead in the mining wastewater in Gumushane and the lead levels accumulated in the blood of workers exposed to this metal. The study analyzed heavy metals such as As, Zn, Cu, Sb, and Pb in mining wastewater using Inductively Coupled Plasma – Mass Spectrometer (ICP-MS). The results indicated high levels of Pb in the studied wastewater. Furthermore, the blood lead levels of workers in the mining area (n=30; mean: 7.42 μg/dL) exceeded background levels (>40 μg/dL). These results suggest a significant relationship between the presence of lead in wastewater and high lead levels in the blood of individuals with high exposure to concentrated lead.
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İncele - MakaleAçık Erişim2025Scopus SJRQ2Comprehensive study on the role of mycrisparite in enhancing strength, stability, and microstructural traits of self-compacting mortars
Etli, Serkan; Yılmaz, Tekin
The present research work aims at promoting the mechanical, durability and microstructure performances of self-compacting mortars (SCMs) and lessening the cement production-induced costs and environmental difficulties, by replacing binder with definite proportions (2.5–15%) of MS. To achieve these goals, the compressive and flexural strength (UCS, FS), freeze–thaw (F–T), sorptivity (Sp), MIP (tP, psD) and SEM tests were conducted on SCMs cured for diverse (7–90 days) ages. The outcomes unearthed that replacing binder with MS at small proportions boosted the UCS/FS performances of SCMs. These improvements in strength performance compared to MS-0 were more spectacular in MS-2.5, which produced higher UCS and FS of 8.6–21.0% and 10.0–25.7%, respectively at all curing ages. Similarly, the same SCMs, which betrayed lower UCS- (10.3 < 16.7) and FS-losses (31.6 < 41.0) than the control at the end of the 200-cycle F–T test, were able to remain more endurance against F–T deterioration. Besides, MS replacement up to 10% enabled the SCMs to exhibit lower tP- (up to 11.2%) and Sp values (up to 61.2%) by ameliorating the psD (refining the larger pores into finer pores). The current research can be consequently commented to provide more beneficial SCM design on both strength/stability and microstructure, and cost and environmental troubles for the building industry.
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- MakaleYalnız künye2025Scopus SJRQ1Integrated Geophysical Survey (GPR, ERT and Magnetometry) at the Kalehisar Archaeological Site in Central Anatolia
Kayın, Sercan; Aydın, Nedim Gökhan; Apaydın, Orhan; İşseven, Turgay
Kalehisar Archaeological Site, located near Mahmudiye Village in the Alaca district of Çorum, provides important insight into the Anatolian Seljuk period and 13th–14th century settlements in Central Anatolia. The main objective of this study is to determine the location and depth of possible buried archaeological remains within the archaeological site. This approach not only guides future excavations but also contributes to a more comprehensive understanding of settlement patterns and architectural practices during the Seljuk period. To achieve this, a comprehensive geophysical survey was conducted, employing magnetometry, electrical resistivity tomography and ground penetrating radar methods. Spectral analysis was used to interpret magnetic anomalies and identify potential buried features. Ground penetrating radar measurements provided high-resolution subsurface imaging, allowing for the detection of fine-scale stratigraphic variations and potential shallow buried remains. Electrical resistivity tomography helped identifying subsurface structures with contrasting resistivity down to 10-m depth. Integrated geophysical results revealed wall continuations extending from the excavation area, alongside other buried features such as ceramic/pottery kilns and a possible mosque in a few depths from the surface. These findings are consistent with Seljuk-era settlements and can aid future excavations by optimizing resources and preserving archaeological integrity.
- MakaleYalnız künye2025Scopus SJRQ2Remanent magnetization and magnetic relaxation in Bi:2223/ag tapes fabricated by the Powder-in-Tube (PIT) method at 30 K
Düzgün, İbrahim; Çelebi, Selahattin
In this study, the remanent magnetization and magnetic relaxation behaviour of Bi-2223/Ag superconducting tapes fabricated using the Powder-In-Tube (PIT) method were investigated. Measurements were conducted at a fixed temperature of 30 K, both under various field cycling amplitudes and in constant magnetic field conditions to analyse time-dependent magnetization. The remanent magnetization values obtained after full magnetic cycles were normalized and compared with theoretical predictions based on the extended critical state model. Additionally, magnetic relaxation curves were recorded at 30 K to evaluate flux creep characteristics. A clear logarithmic decay in magnetization was observed, indicating the coexistence of at least two distinct pinning regimes. These results contribute to a deeper understanding of flux dynamics and magnetic stability in Bi-2223/Ag PIT tapes for practical superconducting applications.
- MakaleYalnız künye2025Scopus SJRQ3Narrative empathy in young adult literature: Am I normal yet?
Demir, Nalan
Mental health issues are increasingly common in modern societies, yet public awareness has not kept pace. The invisibility of psychological disorders and fear of stigma contribute to this gap. Early detection is vital, especially among young people. Literature with its impact on emotional and cognitive development, can help raise awareness and provide support. This study examines Holly Bourne’s Am I Normal Yet? through the lens of narrative empathy to explore how fiction can shape perceptions of mental illness. It analyzes the novel’s first-person narration and embodied narration, which may evoke empathy for the protagonist experiencing obsessive-compulsive disorder. These techniques can encourage emotional engagement and foster compassionate attitudes toward mental health challenges. Moreover, such literature may offer validation and solidarity to struggling readers. Ultimately, this research highlights young adult fiction's potential to enhance mental health literacy and act as an empathetic bridge between individual experience and societal understanding.
- MakaleAçık Erişim2025Scopus SJRQ2Concurrent Validity of the Optojump Infrared Photocell System in Lower Limb Peak Power Assessment: Comparative Analysis with the Wingate Anaerobic Test and Sprint Performance
Khemiri, Aymen; Negra, Yassine; Ceylan, Halil İbrahim; Hajri, Manel; Njah, Abdelmonom; Hachana, Younes; Yıldız, Mevlüt; Bayrakdaroğlu, Serdar; Muntean, Raul Ioan; Attia, Ahmed
Aim: This study analyzed the concurrent validity of the Optojump infrared photocell system for estimating lower limb peak power by comparing it with the 15 s Wingate anaerobic test (WAnT) and examining relationships with sprint performance indicators. Methods: Twelve physically active university students (ten males, two females; age: 23.39 ± 1.47 years; body mass: 73.08 ± 9.19 kg; height: 173.67 ± 6.97 cm; BMI: 24.17 ± 1.48 kg·m−2) completed a cross-sectional validation protocol. Participants performed WAnT on a calibrated Monark ergometer (7.5% body weight for males, 5.5% for females), 30 s continuous jump tests using the Optojump system (Microgate, Italy), and 30 m sprint assessments with 10 m and 20 m split times. Peak power was expressed in absolute (W), relative (W·kg−1), and allometric (W·kg−0.67) terms. Results: Thirty-second continuous jump testing produced systematically higher peak power values across all metrics (p < 0.001). Mean differences indicated large effect sizes: relative power (Cohen’s d = 0.99; 18.263 ± 4.243 vs. 10.99 ± 1.58 W·kg−1), absolute power (d = 0.86; 1381.71 ± 393.44 vs. 807.28 ± 175.45 W), and allometric power (d = 0.79). Strong correlations emerged between protocols, with absolute power showing the strongest association (r = 0.842, p < 0.001). Linear regression analysis revealed that 30 s continuous jump-derived measurements explained 71% of the variance in Wingate outcomes (R2 = 0.710, p < 0.001). Sprint performance showed equivalent predictive capacity for both tests (Wingate: R2 = 0.66; 30 s continuous jump: R2 = 0.67). Conclusions: The Optojump infrared photocell system provides a valid and practical alternative to laboratory-based ergometry for assessing lower limb anaerobic power. While it systematically overestimates absolute values compared with the Wingate anaerobic test, its strong concurrent validity (r > 0.80), large effect sizes, and equivalent predictive ability for sprint performance (R2 = 0.66–0.71) confirm its reliability as a field-based assessment tool. These findings underscore the importance of sport-specific, weight-bearing assessment technologies in modern sports biomechanics, providing coaches, practitioners, and clinicians with a feasible method for monitoring performance, talent identification, and training optimization. The results further suggest that Optojump-based protocols can bridge the gap between laboratory precision and ecological validity, supporting both athletic performance enhancement and injury prevention strategies.
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- MakaleYayıncıda açık erişim2025Scopus SJRQ2The effect of health literacy, psychological resilience, and internet addiction levels on the fear of COVID-19 in healthcare professionals
Aydin, Aykut; Aydin Sayilan, Aylin; Kulakac, Nursen
Background: Healthcare professionals are known to make intensive use of the internet to improve their health literacy, preserve their psychological resilience, resolve uncertainties, and lessen their fear of COVID-19. Although several studies have addressed these concepts, we encountered none examining their relationships with one another. Objective: This research set out to determine the effects of health literacy, psychological resilience, and internet addiction levels on the fear of COVID-19 in healthcare professionals. Methods: The sample in this descriptive, cross-sectional, and correlation-seeking research consisted of 456 health workers. The data were collected using an information form and the Health Literacy Scale (HLS), the Brief Resilience Scale (BRS), Young's Internet Addiction Test-Short Form (YIAT-SF), and the Fear of COVID-19 Scale. Results: The mean age of the health professionals enrolled in the research was 40.80 ± 11.39 years (min 22, max 68), 52.4% were women, 87.1% held bachelor's degrees, 86.8% were married, and 5.9% were working as nurses. The participants’ mean scale scores were 54.97 ± 5.62 for the HLS, 26.95 ± 9.57 for YIAT-SF, 20.57 ± 3.62 for the BRS, and 20.33 ± 2.97 for the Fear of COVID-19 Scale. Conclusions: The healthcare professionals in this study exhibited adequate levels of health literacy and psychological resilience, a moderate level of internet addiction, and still experienced fear of COVID-19. Health literacy, internet addiction, and psychological well-being emerged as important factors in the fear of COVID-19.
- MakaleAçık Erişim2025Scopus SJRQ1Effect of basic parameters defining principal soil-structure interaction on seismic control of structures equipped with optimum tuned mass damper
Araz, Onur
One of the most effective systems for reducing dynamic responses of the structures subjected to earthquake excitations is tuned mass dampers (TMDs). In the traditional design theory of TMDs, the structures are assumed to be rigidly connected to the ground. Using this approach, known as the fixed foundation approach, may lead to deterioration of the performance of the TMD in cases where soil-structure interaction (SSI) is significant. Therefore, it is crucial to consider the SSI effects to obtain the optimum parameters of the TMDs. Unlike previous studies, two key parameters (i.e., structure-to-soil stiffness ratio and aspect ratio of the structure) are considered, which define the principal SSI effects on the effectiveness of TMD. For the aspect ratio of the structure, three different values (i.e., λ = 1, 2, and 4) are considered, these values correspond to the squat, ordinary, and slender structures representing traditional buildings, respectively. Four different values (i.e., a0 = 0, 0.5, 1, and 2) are also considered for the structure-soil stiffness ratio. This ratio being equal to 0 corresponds to the fixed foundation approach. This also demonstrates that the structure is constructed on hard rock. The optimum parameters of the TMD are obtained using the Jaya algorithm (JA). The proposed methodology is applied to three different buildings (i.e., 3-story, 6-story, and 12-story), and the optimum parameters of the TMD are verified using a total of 72 ground motions corresponding to NEHRP site classes C, D, and E. Numerical results show that the effectiveness of TMD is significantly affected by the basic parameters that define the principal SSI. In addition, the efficiency of the TMD is significantly related to the characteristics of the ground motions. It has been observed that TMD does not perform adequately in reducing vibrations in low-rise buildings (i.e., λ = 1) constructed on low-stiffness soils (i.e., a0 = 2).
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- Kitap BölümüYalnız künye2025Conclusion
Özsungur, Fahri; Bekar, Fevziye
This edited book offers a comprehensive examination of proactive behavior (PBs) in organizational contexts, emphasizing its critical role in addressing the complexities of modern work environments. Bridging psychological, sociological, and managerial perspectives, the book explores how emotions, leadership styles, and identity factors influence proactive engagement. It critically assesses both the benefits and risks of proactivity, including its impact on mental health, conflict resolution, and innovation. Special attention is given to marginalized groups—such as women, immigrants, and LGBTQ+ individuals—highlighting the systemic challenges they face and the need for inclusive, equity-driven approaches to fostering proactive behavior. The book also connects proactive practices to broader societal concerns, including sustainability and ethical governance. By integrating diverse viewpoints and highlighting underexplored dimensions, this book advances the understanding of proactive behavior as a transformative force within and beyond organizational life.
- MakaleAçık Erişim2025Scopus SJRQ2Reliability and Validity of the Turkish Version of the Walsh Family Resilience Questionnaire
Arslan, Kübra; Hatipoğlu, Ertuğrul
A multidimensional scale to measure family resilience, which focuses on facilitating positive adaptation and strengthening the family unit when affected by high-stressful events, does not exist in Turkish. The aim of this study was to adapt the Family Resilience Scale into Turkish and to conduct a validity and reliability study. The Family Resilience Scale was translated into Turkish and back-translated. Simple random sampling was used to create a representative sample of adults from 321 families selected in Turkey in 2022. The reliability of the scale as a whole and of the subscales was examined using Cronbach’s alpha. Test-retest reliability, the scale was administered to 30 individuals two weeks apart to determine reliability using the test-retest method. Cronbach alpha coefficients were greater than 0.70 for all scales. The test-retest reliability for the General Family Resilience Scale score was found to be.725. According to the results of the confirmatory factor analysis, chi-square χ2 = 2.598; RMSEA= 0.071; SRMR= 0.06; IFI= 0.90; CFI= 0.90; GFI= 0.89; TLI= 0.88. This study provides evidence that the Family Resilience Scale has good validity, reliability and test-retest reliability for Turkish families. Further testing, including construct validity and testing in different contexts, will strengthen the evidence. This scale will find application in resilience research, clinical settings, and facilitate the development and evaluation of intervention programmes to build resilience in Turkish families.
AtıfScopus3WoS3OpenAlex4İncele
- MakaleAçık Erişim2025Scopus SJRQ3The Effects of Body Awareness on Fall-Related Behaviors and Fall Risk in Geriatric Individuals
Şen, Müşerref Ebru; Özdemir, Filiz; İnceoğlu, Feyza
Aims: Aging is an inevitable stage in which in addition to physiological and mental changes, perception and awareness decline, and memory functions gradually deteriorate. The aim of this study was to examine the effects of body awareness on fall-related behaviors and fall risk in geriatric individuals. Methods: This cross-sectional study was conducted with 176 individuals over 65 years of age who presented to family health centers. Body awareness (BAQ), fall-related behaviors (FaB) and fall risk (Morse) were examined. Statistical significance was accepted as p < 0.05 in the analyzes. Results: There was a moderate, negative, and statistically significant relationship between the Morse and BAQ scores of the participants (r=-0.576) (p < 0.05). There was a moderate, positive, and statistically significant relationship between the BAQ and FaB scores of the participants (r = 0.235) (p < 0.05). Conclusions: The results showed a significant relationship between body awareness levels and fall-related behaviors and fall risk in geriatric individuals.
- MakaleYalnız künye2025Scopus SJRQ2Investigation of structural and adhesion properties of ZnO and h-BN doped TiO2 coatings on Cp–Ti alloy
Belet, Ali Kadir; Şüküroğlu, Süleyman; Şüküroğlu, Ebru Emine
Titanium and its alloys are widely used in aircraft, automotive, chemistry, marine, and military industries owing to their superior properties such as specific strength, very low density, high melting point, high corrosion resistance, good fatigue strength and toughness, low elastic modules, and excellent biocompatibility. However, insufficient tribological properties such as high and unstable friction coefficient, low scraping wear resistance and strong adhesion tendency, and poor corrosion resistance in some aggressive corrosive environments such as severe chloride solution limits the use of titanium and its alloys in some engineering applications. For this reason, it has become quite common to change and/or improve the surface properties of titanium and its alloys. In this study, the structural properties of TiO2 coatings with zinc oxide (ZnO) added TiO2 and hexagonal boron nitride (h-BN) added TiO2 grown composite coatings, respectively, on Cp–Ti substrates by micro-arc oxidation method and the adhesion behavior between the base material and coatings were investigated.
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