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Koleksiyondaki öğeler
- MakaleAçık Erişim2024Scopus SJRQ1Prediction of effect of fabrication parameters on the properties of B4C ceramic particle reinforced AA2024 matrix nanocomposites using neural networks
Varol, Temel; Çanakçı, Aykut; Özşahin, Şükrü; Beder, Murat; Akçay, Serhatcan Berk
In the present study, a prediction model was created to predict the impact of B4C content, milling time and matrix size on the hardness and density of AA2024-B4C nanocomposites produced by means of flake powder metallurgy. The process involved synthesizing AA2024-B4C nanocomposite powders by mechanical milling followed by preparing nanocomposites by hot pressing. The matrix size of the AA2024 alloy powders, the milling time, and the B4C content were selected as the input parameters. On the other hand, the density and the hardness of the AA2024-B4C nanocomposites were designed as the output parameters. The results showed that the sintered density is significantly improved by decreasing matrix size. It was found that density of AA2024–3 wt%B4C nanocomposites is lower than AA2024–1 wt%B4C nanocomposites. However, the hardness of AA2024–3 wt%B4C nanocomposites is better than AA2024–1 wt%B4C nanocomposites. The AA2024-B4C nanocomposite prediction model could predict hardness and density with a mean absolute percentage error (MAPE) of 0.32% and 1.38%. The results show that the ANN model is a useful tool for the matrix size effect prediction, milling time and B4C content on the density and hardness of AA2024-B4C nanocomposites prepared by flake powder metallurgy.
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İncele - MakaleAçık Erişim2024Scopus SJRQ1In-plane crushing behavior and energy absorption of CFRP honeycombs with different core topologies
Pehlivan, Levent; Baykasoğlu, Cengiz
The in-plane crushing behavior and energy absorption performance of carbon fiber reinforced polymer (CFRP) honeycombs with different core topologies were experimentally investigated under uniaxial loading conditions. Three types of CFRP honeycomb core topologies (i.e. circular, square and hexagonal) with different cell wall thicknesses and heights were considered in the designs. The honeycomb samples were fabricated by the molding and bonding process, which is widely used in the easy, fast and economical manufacturing of thin-walled honeycomb structures. A total of twenty-seven sample groups were experimentally tested for each loading condition, in which honeycomb samples with different core topologies were designed to have almost the same weights for a meaningful comparison. The experimental results revealed that all honeycomb designs have higher in-plane compression strength in the expansion direction, and hexagonal honeycombs showed the highest strength and energy absorption performance in both directions due to their stable load-carrying capacity and outstanding force efficiency. In particular, the experimental findings showed that the crushing strength and the specific energy absorption of CFRP honeycomb structures can be improved up to 6.1 and 4.2 times, respectively, by properly adjusting the cell wall thickness and height parameters. The results also revealed that the proposed lightweight CFRP honeycombs with the structural densities of 155–283 kg/m3 showed better in-plane crushing performance than many competing cellular topologies.
AtıfScopus27WoS26OpenAlex28İncele - MakaleAçık Erişim2025Scopus SJRQ3Evaluation of antibacterial, antioxidant activities and secondary metabolites profile of orchids with different dried methods
Ozkan, Ahmet Ismail; Canbolat-Gültekin, Deniz; Soruklu, Sudenaz; Işik, Uğur; Akmeşe, Osman
The Central Black Sea region is a very dense region in terms of orchid diversity. As a consequence of the floral studies, 32 species of salep orchids were identified in the Central Black Sea Region. The aim of this current study was to identify the secondary metabolite profiles of leaves and tubers of two orchid species (Anacamptis palustris and Ophrys apifera) with different drying methods by HPLC analysis and to determine their antibacterial and antioxidant activities. For this purpose, different drying methods were applied to the roots and leaves of these two species. The species were dried by 3 different techniques: shade, lyophilizer and oven. After the aqueous extracts were obtained, their antibacterial and antioxidant activities were tested and HPLC analysis was completed. The data obtained from aqueous extracts as a result of drying techniques were compared with the data obtained from fresh plant aqueous extracts. Antibacterial properties were tested against Staphylococcus aureus ATCC 25923, Escherichia coli ATCC 25922 and Pseudomonas aeruginosa ATCC 27853 bacteria. No antibacterial activity was found in the study. Antioxidant properties were tested via DPPH and FRAP assays. As a result of DPPH free radical scavenging assay, the highest antioxidant efficiency in A. palustris was observed in leaves dried in lyophilizer (76.53%), in the shade (62.13%) and in the oven (54.12%), respectively. Nine different phenolic compounds were found in aqueous extracts of these species. Epicatechin, Gallic Acid, Rutin, Syringic Acid phenolic compounds were observed the most in HPLC analysis. The results of current study suggest that these extracts have antioxidant and phenolic contents and should be investigated in more comprehensive studies.
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İncele - MakaleAçık Erişim2024Humanitarian Ecology in Islamic Law: Balancing Human Needs and Environmental Preservation in Islamic Law
Karimullah, Suud Sarim
This study has a comprehensive objective of understanding the practical implications of environmental protection within the framework of Islamic law, taking into account the balance of human needs and ecological preservation. The method used is library research with literature analysis through synthesis and integration of information from various relevant sources, such as books, scientific articles, and other documents related to the research topic. The findings of the study show that environmental protection in the framework of Islamic law not only provides a solid moral and ethical foundation but also challenges the conventional paradigm in natural resource management by offering a holistic approach that integrates spiritual, social, and ecological values. Through maqasid al-sharia, environmental protection becomes an integral part of the objectives of sharia, namely preserving life (hifz al-nafs) and ecological sustainability (hifz al-biāh) by providing ethical guidance to prevent overexploitation while encouraging sustainable innovation. Thus, Islamic law not only responds to the challenges of the global environmental crisis but also offers a model of sustainability that brings together spiritual, ethical, and practical values in creating harmony between human needs and the preservation of nature, making it relevant as a strategic solution for the modern world.
AtıfScopus5OpenAlex4İncele - MakaleAçık Erişim2025Scopus SJRQ2Energy-Efficient 8-PAM Optical DAC Design for Visible Light Communication Systems
Başer, Oğuzhan; Küçük, Mehmet Ali; Albayrak, Cenk; Türk, Kadir
This paper presents a cost-effective and energy-efficient optical digital-to-analog converter (ODAC) transmitter scheme for visible light communication (VLC) systems. The proposed ODAC transmitter enables data transmission while providing lighting, as desired in VLC systems, unlike existing ODAC structures in the literature, by switching power LEDs at high speeds with a MOSFET-based switching circuit design. This paper also discusses the ODAC design stages and presents the points to be considered in detail. In addition, by implementing the hardware design of an ODAC transmitter with a 3-bit resolution, that is, capable of generating 8-PAM signals, based on the proposed ODAC architecture, experimental studies are conducted for energy efficiency and communication performance results via the established VLC system using the designed ODAC. Experimental results demonstrate that the proposed ODAC transmitter achieves a data transmission rate of 18.75 Mbps with a bit error rate (BER) below the forward error correction (FEC) limit at a communication distance of 4 m, while also exhibiting a high power efficiency of 94%.
- Kitap BölümüYayıncıda açık erişim2025Challenges of adopting artificial technology in human resource management practices
Şimşek, Tuğçe; Şimşek, Ahmet Bahadir
In this study, the challenges faced by organisations in integrating artificial intelligence (AI) into human resource management (HRM) practises are examined. For that, AI can bring significant benefits, includ¬ing increasing efficiency and decision-making in the HR processes, namely recruitment, performance evaluation and talent development. Its adoption, however, presents many challenges in technological infrastructure, data privacy, ethical, and organizational culture. This chapter investigates these barriers, particularly the importance of proper management changes and the trade-off between human element and AI's capabilities. The article discusses strategies for overcoming these challenges, the importance of practising ethical AI, data security and employee development. This study offers actionable insights for organisations attempting to leverage AI in HRM in a way that can succeed at both the operational and ethical dimensions.
AtıfOpenAlex1İncele - MakaleAçık Erişim2024Scopus SJRQ1The impact of implementing backbone architectures on fracture segmentation in X-ray images
Turk, Salih; Bingol, Ozkan; Coskuncay, Ahmet; Aydin, Tolga
X-ray imaging is widely utilized for the detection of bone fractures due to its affordability, rapid processing capabilities, broad accessibility, and ease of use. Despite these advantages, the intricate analysis of X-ray images necessitates advanced computational techniques to fully exploit their rich informational content. Notably, accurate segmentation of these images plays a critical role in aiding medical professionals with precise diagnoses and effective treatment planning. This study examines the impact of integrating different backbone architectures for the task of fracture segmentation in X-ray images. Specifically, the research focuses on enhancing the widely-used DeepLabV3 model by incorporating pre-trained networks such as ResNet50, ResNet101, and MobileNetV3 into the encoder component to improve feature extraction and segmentation accuracy. The FracAtlas dataset, which presents unique challenges due to its small size and the diversity of fractures from various anatomical regions, was employed for model evaluation. Data augmentation techniques were implemented to expand the dataset, and an additional subset focusing on cropped images of fracture areas was developed. The models were trained over 50 epochs, and their performance was assessed using metrics such as Intersection over Union (IoU), loss values, and Dice scores. The results indicate that the DeepLabV3 model with ResNet-based backbones achieved IoU values exceeding 0.93 on the original dataset and demonstrated outstanding performance on the augmented and cropped datasets, with AUC values reaching up to 0.99. The study also highlights the computational complexity of the models, with ResNet101 exhibiting the highest time complexity, while MobileNetV3 was the most efficient in terms of processing time and memory consumption.
AtıfScopus8WoS6OpenAlex6İncele - MakaleAçık Erişim2025Scopus SJRQ1Development of analytical methods and method validation for the qualitative and quantitative determination of Carboxymethyl Cellulose (CMC) in yogurt and ayran
Ergüney, Gülşen; Gündoğdu, Engin; Baltaci, Cemalettin
This study presents the development and validation of analytical methods for the qualitative and quantitative determination of Carboxymethyl Cellulose (CMC) in yogurt and ayran. The methods were evaluated for their detection limit (LOD), quantification limit (LOQ), and method detection limit (MDL) across multiple samples, demonstrating robust sensitivity with MDL and LOD values of 0.03% for both yogurt and ayran. Recovery studies showed high accuracy, with recovery rates between 98% and 100%, and consistent recovery within the acceptable range of 97–103%, reinforcing the methods' reliability. The quantitative analysis exhibited strong repeatability and reproducibility, with low relative standard deviations (RSDr and RSDR), confirming minimal intra-day and inter-day variability. The calibration curves for CMC analysis demonstrated excellent linearity with high coefficients of determination (R2 = 0.9985 for yogurt and 0.9951 for ayran), ensuring accurate quantification over a wide concentration range. Measurement uncertainty analysis further validated the methods' precision and accuracy, showing low relative uncertainties for trueness, repeatability, and reproducibility. Robustness evaluations indicated that the methods maintained consistent recovery rates despite variations in pH, heating time, and sample quantity, highlighting their reliability under different conditions. For qualitative analysis, the visual images method showed exceptional performance with perfect sensitivity and specificity, accurately identifying all positive and negative samples without any false positives or negatives. This high level of accuracy makes the visual images method a valuable tool for ensuring product safety and compliance with quality standards in the dairy industry. Overall, the validated analytical methods for CMC detection in yogurt and ayran demonstrated high precision, accuracy, and reliability, making them essential for quality control and regulatory compliance in dairy production.
AtıfScopus5WoS5OpenAlex5İncele - MakaleAçık Erişim2024Scopus SJRQ2Optimizing Advanced High-Strength Steel Joints via Regional Rapid Cooling in Resistance Spot Welding
Hıdıroglu, Mehtap; Aydın, Kemal; Kahraman, Nizamettin
During resistance spot welding (RSW), the thermal cycles that occur cause microstructural differentiations in the heat-affected zones of martensitic steels, leading to internal stresses. In this context, a new and innovative methodology has been developed to minimize the adverse effects of heterogeneous hardness changes in the welding area on joint durability. This methodology utilizes a unique prototype setup based on the regional rapid cooling (RRC) process, which is integrated into the welding machine and operates in synchronization with the machine during the process. Through this setup, the aim is to effectively control the microstructure and hardness values in the welding area. This innovative approach presents potential improvements in the field of welding technology by aiming to optimize material performance during the welding process. According to microstructure results, the RRC process has narrowed the heat-affected zone to 1.27 mm, increased the hardness values by 9.2%, showed a 3% increase in tensile-shear strength, a 9% increase in cross-tension strength, and based on fatigue strength results, no fractures occurred in all specimens subjected to a force of 0.3 kN.
AtıfScopus4WoS3OpenAlex4İncele - MakaleYalnız künye2025Scopus SJRQ4Evaluation of the Psychometric Properties of the Turkish Form of the Will-to-Live Scale in Older Adults
Kütük, B.
Abstract: The Will-to-Live (WTL) scale measures desire for life and life commitment across populations. However, psychometric evidence for a Turkish older adult WTL screening model is lacking. In this study, the WTL was first translated into Turkish using established procedures, followed by the collection of psychometric information on the Turkish form (WTL-T). Included in the study were community-dwelling older adults (aged 65–85 years) who could be considered representative of the older adult Turkish population, who were asked to complete the WTL scale, the Satisfaction with Life Scale, the Philadelphia Geriatric Center Morale Scale, the Geriatric Depression Scale, the Brief Resilient Coping Scale, as well as a single-item WTL and self-rated health. The exploratory and confirmatory factor analyses demonstrated an acceptable model fit of the WTL-T, yielding a single-factor model that explained 66.45% of the variance. Furthermore, the WTL-T was found to have high internal consistency (Cronbach α = 0.865) and convergent validity was demonstrated by the strong positive correlations identified through the single-item WTL question (r = 0.810, p < 0.001). The moderate to high correlations of the scale with theoretically related measures supported its concurrent validity (r = –0.299 to 0.742, all p’s < 0.01). The evidence presented in the present study identifies the WTL-T as a concise, appropriate and psychometrically sound instrument for the assessment of WTL in older adults living in Turkey.
- MakaleYalnız künye2025Scopus SJRQ1Effect of frequency content of ground motion on seismic response of buildings with variable aspect ratio including soil-structure interaction
Kaya, Dilek; Cakir, Tufan; Ozturk, Kasif Furkan; Araz, Onur
Soil-structure interaction (SSI) may lead to reduction, amplification or negligible change in structural responses depending on the relationship between the nature of excitations and subsoil conditions. Since neglecting SSI effects may cause uncertainties in seismic design, it is crucial to consider them during the design process. Another important factor affecting the dynamic behavior of structures interacting with the ground is the dynamic properties of the structures. To consider this effect, three buildings with 4, 8, and 12 stories designed in accordance with the Turkish Building Earthquake Code (TBEC-2018) are analyzed. The aspect ratios of these structures are 2, 4, and 6, corresponding to squat, ordinary, and slender structures, respectively. The primary objective of this study is to simulate the combined effects of these key parameters on the dynamic response of reinforced concrete structures. In the time history analyses, six ground motions classified by three different frequency contents are considered. 3D finite element models of SSI systems are established using ANSYS software. The usability of the numerical models is demonstrated for both SSI and fixed-base cases through three different analytical approaches. The displacement, acceleration, and stress responses are examined through time history analyses. The results indicate that the SSI is not negligible and neglecting the SSI is an oversimplification that does not lead to always-conservative predictions. Moreover, both the frequency content of the excitation and the structural aspect ratio are found to be decisive parameters in seismic response.
AtıfScopus12WoS12OpenAlex11İncele - MakaleYalnız künye2020Scopus SJRQ1The effect of expressed breast milk, swaddling and facilitated tucking methods in reducing the pain caused by orogastric tube insertion in preterm infants: A randomized controlled trial
Apaydin Cirik, Vildan; Efe, Emine
Background: Orogastric tube feeding is used to support the nutrition of preterm infants. Although nonpharmacological methods are effective in reducing the pain caused by orogastric tube insertion, only limited studies have been found addressing this pain. No study has used combined nonpharmacological methods to reduce this orogastric tube insertion pain. Objective: This randomized controlled study aims to compare the effects of expressed breast milk, swaddling, facilitated tucking, expressed breast milk+swaddling, expressed breast milk+facilitated tucking and routine care methods on preterm infant pain and the physiological parameters (i.e., heart rate, oxygen saturation) before, during and after orogastric tube insertion procedures. Design: Randomised controlled trial. Setting: Three level III neonatal intensive care units in Turkey. Method: Preterm infants born at 32–34 weeks gestation were randomly assigned to six groups: routine care (n = 33), swaddling (n = 30), facilitated tucking (n = 32), expressed breast milk (n = 31), swaddling+expressed breast milk group (n = 30), and facilitated tucking+expressed breast milk group (n = 31). Orogastric tube insertion included four phases: baseline (the last one minute of 30 min without stimuli), the insertion, recovery (one minute after insertion), and recovery (two minutes after insertion). The four phases were videotaped. Premature infant pain profile score, heart rate and oxygen saturation were assessed by two independent evaluators who were blinded to the purpose of the study. Data were assessed by analysis of variance for the multiple repeated measurements, bonferroni and generalised estimating equation logistic regression. Results: There was a significant main effect of the intervention groups for all the pain and physiological parameters (heart rate: F = 3.99, p = 0.001; oxygen saturation: F = 5.22, p<0.001; pain profile 1 score: F = 9.55, p<0.001; pain profile 2 score: F = 9.74, p<0.001). The use of the nonpharmacological methods combined or alone was more effective in reducing infants’ pain profile score and physiological variables than routine care. Infants receiving swaddling+expressed breast milk had significantly lower pain profile scores during the insertion (phase2) (5.2 ± 1.7) than those receiving routine care (9.5 ± 3.6), swaddling (8.8 ± 2.9), facilitated tucking (7.2 ± 3.2), expressed breast milk (7.9 ± 2.6), facilitated tucking+expressed breast milk (6.6 ± 2.3) (p<0.001). The breast milk group had 6.195 times more pain than the swaddling+expressed breast milk, while the facilitated tucking group had 6.301, the facilitated tucking+expressed breast milk group had 3.107, the control group had 13.015, and the swaddling group had 7.892 times more pain. Conclusion: The swaddling+expressed breast milk method is clinically better pain relief nonpharmalogical option and is the recommended method to nurses for the orogastric tube insertion procedures, preterm infants.
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İncele - MakaleYalnız künye2025Scopus SJRQ2Ecological effects of energy use and tourism-induced transport modes among coastline Mediterranean countries
Cakir, Mehmet Ali; Recepoğlu, Mürşit; Alola, Uju Violet; Alola, Andrew Adewale
Purpose: Motivated by the criticality of transportations system in tourism activities, this study further uncovers the effect of the main transportation modes arising from inbound tourism activities on the ecological footprint across the panel of selected coastline Mediterranean countries (CMC). Design/methodology/approach: The study considers a suitable econometric approach for the case of CMC with the dataset that covers the period 1998–2022. Findings: While the result reveals that all the modes of transportation except air deteriorate environmental sustainability by increasing ecological footprint in the long run, higher impact of environmental woe is associated with the land transportation. Similarly, the findings further show that economic expansion and conventional energy utilization in the examined panel and in each country spurs ecological footprint, thus worsening environmental quality. Meanwhile, for the country-specific observations, ecological footprint is (1) mitigated by tourism activities associated with air, water and land transports in Spain, (2) triggered by tourism activities associated with land transport in Croatia and (3) spurred by land transport in Italy. Originality/value: Policy inference from these results suggests the need to scale up the adoption of a low-emission transportation system in the countries.
AtıfScopus1WoS1OpenAlex1İncele - Kitap BölümüYalnız künye2025Sustainable Development, Ecological Footprint, Carbon Footprint, Biomimicry, Permaculture, and Proactive Behavior
Şenel Tekin, Perihan; Bekar, Fevziye
The aim of this book chapter is to lay the concepts of sustainable development, ecological footprint, carbon footprint, permaculture and biomimicry, which are thought to complement one another and serve almost the same purpose, on the basis of proactive behaviors. Sustainable development means balancing ecological, social, and economic dimensions and meeting the needs of the present without consuming the resources of future generations. The ecological footprint is an indicator of sustainable development and involves calculations relevant to the world’s energy consumption, capacity and overall biomass efficiency. A carbon footprint is a type of ecological footprint, while biomimicry involves the emulation of nature to create pathways for crafting innovative designs. The discipline of permaculture derives from permanent culture and agriculture and concerns about creating sustainable living spaces. In this regard, sustainability may be ensured with the inclusion of proactive mindsets as opposed to reactive perspectives to facilitate individual ownership of sustainability within social lifestyles and business environments.
AtıfScopus1İncele - MakaleAçık Erişim2024Scopus SJRQ2Innovations in dairy technology: probiotics in Turkish white cheese production
Mazlum, Halit; Atasever, Mustafa
Cheese offers significant advantages as a probiotic carrier food compared to fermented milk and yoğurt due to its fat content, solid matrix, higher pH, low oxygen levels, and longer shelf life. This study examined Turkish white cheeses ripened with both classical starter culture (Lactococcus lactis subsp. lactis and Lactococcus lactis subsp. cremoris) and various probiotic cultures (Lactobacillus acidophilus, Lactobacillus casei, Lactobacillus paracasei, and Bifidobacterium bifidum). The quality and functional properties of these cheeses were investigated to evaluate the effect of adding probiotics to traditional starter culture and their potential for use as carrier food for probiotics. During the 90-days ripening period, the numbers of L. acidophilus, L. casei, L. paracasei, and B. bifidum were determined to be in the range of 8.09 ± 0.34–8.65 ± 0.30, 7.19 ± 0.28–8.12 ± 0.90, 7.01 ± 1.45–8.73 ± 0.98, and 7.16 ± 1.10–8.21 ± 1.19 log cfu/g, respectively. The study found that probiotic levels in the cheese remained above the effective threshold (≥ 107 cfu/g) throughout the ripening process. This was accompanied by an increase in water-soluble nitrogen, an indicator of proteolysis, leading to higher ripening index values in all cheese samples. In terms of sensory evaluation, cheeses with L. acidophilus and L. paracasei were particularly well-received, scoring higher (7.90 ± 0.30–8.47 ± 0.12, 7.80 ± 0.34–8.75 ± 0.12, respectively) in taste and aroma than the others. Overall, probiotics positively influenced the quality and functional properties of the white cheese. Notably, the L. casei ATCC 393 strain, used for the first time in Turkish white cheese production, proved highly compatible with existing production technologies. It was concluded from the study that Turkish white cheese is a suitable food for transporting probiotics to the intestinal environment.
AtıfScopus5WoS5OpenAlex6İncele - MakaleAçık Erişim2024Scopus SJRQ1Different gait combinations based on multi-modal deep CNN architectures
Yaprak, Büşranur; Gedikli, Eyüp
Gait recognition is the process of identifying a person from a distance based on their walking patterns. However, the recognition rate drops significantly under cross-view angle and appearance-based variations. In this study, the effectiveness of the most well-known gait representations in solving this problem is investigated based on deep learning. For this purpose, a comprehensive performance evaluation is performed by combining different modalities, including silhouettes, optical flows, and concatenated image of the Gait Energy Image (GEI) head and leg region, with GEI itself. This evaluation is carried out across different multimodal deep convolutional neural network (CNN) architectures, namely fine-tuned EfficientNet-B0, MobileNet-V1, and ConvNeXt-base models. These models are trained separately on GEIs, silhouettes, optical flows, and concatenated image of GEI head and leg regions, and then extracted GEI features are fused in pairs with other extracted modality features to find the most effective gait combination. Experimental results on the two different datasets CASIA-B and Outdoor-Gait show that the concatenated image of GEI head and leg regions significantly increased the recognition rate of the networks compared to other modalities. Moreover, this modality demonstrates greater robustness under varied carrying (BG) and clothing (CL) conditions compared to optical flows (OF) and silhouettes (SF). Codes available at https://github.com/busrakckugurlu/Different-gait-combinations-based-on-multi-modal-deep-CNN-architectures.git
AtıfScopus4WoS3OpenAlex4İncele - MakaleYalnız künye2025Scopus SJRQ1Ecological footprint components and agricultural productivity: Insights from MENA countries
Recepoğlu, Mürşit; Hayaloğlu, Pınar; Cakir, Sümeyra Cay; Artan, Seyfettin; Cakir, Mehmet Ali
The surge in the global population over the past century has highlighted the importance of agricultural production, leading to many studies to boost productivity. Unlike previous studies that primarily explore agricultural productivity growth, this study investigates how the subcomponents of the ecological footprint affect agricultural productivity in MENA countries between 1992 and 2021, identifying which types of environmental pollution have the most significant impact. Driscoll and Kraay (1998) method results show that ecological footprint has a major negative impact on agricultural productivity. Similarly, all ecological footprint components have a negative impact on agricultural productivity. The forest footprint has the highest coefficient magnitude, followed by crop land footprint, carbon footprint, fishing grounds footprint and grazing land footprint. The results have been tested for robustness using the Half-Panel Jackknife test to avoid biased results, and parallel results have been obtained. Finally, the causality between agricultural productivity and explanatory variables has been tested using Dumitrescu and Hurlin (2012) panel causality test. The findings suggest that policymakers may find it more effective to eliminate pollution rather than using additional resources to increase agricultural productivity. This approach allows for the reallocation of resources used in agricultural production to other areas.
AtıfScopus8OpenAlex8İncele - MakaleAçık Erişim2024Scopus SJRQ4EVALUATION OF UNMET HEALTH NEEDS IN EUROPEAN UNION COUNTRIES: 2020-2021; [Évaluation des besoins de santé non satisfaits dans les pays de l’Union européenne: 2020-2021]
Köse, Aslı
The objective of the study. This study aimed to evaluate the effect of unmet health needs in European Union countries on Healthy Life Expectancy in 2020-2021 and determine the grouping of countries in this period. Material and methods. The study used unmet health needs data from the Eurostat database. Two models were created by path analysis using structural equation modeling. The impact of unmet health needs on life expectancy in 2020-2021 was evaluated. The cluster analysis grouped the European Union countries according to their unmet health needs. Results. The primary factor with the highest average contributing to unmet health needs in 2020-2021 was the absence of a requirement to report health issues. Among the reasons for postponing health needs in 2020-2021, the criterion of “absence of specialists” was determined to be the criterion with the lowest average. According to the cluster analysis, the most similar countries are the Netherlands and Austria, Albania and Serbia, while the least similar are Bulgaria and Belgium, Estonia and Belgium. Conclusions. During the pandemic, individuals gave up receiving health services due to their fear of catching COVID-19. It has been determined that unmet health needs did not affect life expectancy for 2020. In 2021, there was a statistically significant relationship between the “no need to report” unmet health need criterion and Healthy Life Year Expectancy. This study determined the “expensive, remote and transportation” criterion, which has the second highest average among the reasons for unmet health needs.
AtıfScopus2OpenAlex1İncele - MakaleAçık Erişim2025Scopus SJRQ2Exploring Nursing Students’ Metaphorical Perceptions and Cognitive Structures Related to the Global Climate Crisis's Impact on Nursing
Ediz, Çiçek; Uzun, Sevda
Objective: This study aimed to explore the metaphorical perceptions and cognitive structures of Turkish nursing students related to the impact of the global climate crisis on their profession. Methods: Researchers adopted a qualitative approach centered on metaphor analysis and involved 40 Turkish nursing students enrolled in programs in Türkiye during October 2023. Using metaphor analysis and techniques involving writing and drawing, the study uncovered how these students perceive and cognitively structure the influence of the global climate crisis on their nursing careers. The interview form featured the metaphor expression “The reflection of the global climate crisis on nursing is like … because …,” while the drawing component prompted students to determine their perspectives on the climate crisis's impact on nursing through concept drawings. The research adhered to the COREQ checklist. Results: The study revealed that nursing students generated 22 metaphors each through written and drawing techniques. Written metaphors were grouped into five categories: psychosocial challenges faced by nurses, patient populations, diseases and coping, burdens on the health system, and the growing importance of various fields within nursing. Drawing technique metaphors were grouped into four categories: nurses and the difficulties they face, the impact of the global climate crisis on the world, the impact of the global climate crisis on the healthcare sector, and the roles and responsibilities of nurses. Conclusions: While nursing students expressed diverse opinions, their concerns about the reflection of the global climate crisis on nursing yielded similar emotional responses. Metaphors are mostly focused on psychosocial challenges faced by nurses, the patient population, diseases, and coping mechanisms. The findings underscored nursing students’ concerns about the global climate crisis's impact on both their profession and the broader community.
AtıfScopus5WoS5İncele - MakaleAçık Erişim2025Scopus SJRQ4Investigation of the Dynamic Behavior of Buried Natural Gas Pipe System
Öztürk, Kaşif Furkan
Natural gas pipelines are important infrastructure elements that are often designed to be buried and can cross very long distances, both on the mainland and on the ocean seabed. In this context, researches on the safety of these structures, which are known to cause significant economic losses if damaged, still maintains its importance. From this point of view, the dynamic behavior of a buried pipe system modeled using the equivalent spring-dashpot approach is investigated for three different soil systems and two earthquake records with three different frequency contents. The research shows that while the peak von mises stress of the pipe system can generally decrease depending on decrease in soil stiffness, the peak lateral displacements of the pipe system can generally increase depending on the decrease in soil stiffness. Furthermore, the results point out that the peak von mises stresses and the lateral displacements of the pipe system can significantly increase from high frequency content to low frequency content depending on the frequency content of earthquake.
