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Koleksiyondaki öğeler
- MakaleYalnız künye2024Scopus SJRQ2Effects of combining phosphorus (P) and zinc (Zn) fertilization on P-Zn distribution and yield in safflower
Korkmaz, Kursat; Kılıç, Rahman; Akgün, Mehmet; Kara, Şevket Metin
The interaction of P and Zn is a crucial factor affecting plant growth and yield. The aim of this study was to investigate the combined effects of P and Zn on P-Zn distribution in safflower tissues and seed yield. A two-year study was conducted in farmer fields in northeastern Turkey during 2014 and 2015 years. P applications consisted of four levels (0, 3, 6 and 9 kg P2O5 da−1) that were allotted to the main plots. Sub-plots were composed of three Zn levels (0, 0.5 and 1 kg Zn da−1). The results showed that P and Zn applications had a significant effect on the P and Zn concentration of straw, head, seed, and yield. P concentration in straw, head, and seed increased significantly with increasing P and Zn levels. Zn concentration decreased with high P levels compared to the control, while it increased with increasing Zn levels regardless of P application. At low P levels, yield did not respond to Zn treatments; however, at high P doses, Zn application resulted in a dramatic increase in yield compared to the control. In order to increase seed yield, instead of P and Zn sole application, their combined application was very effective, and doses of 9 kg P2O5 da−1 and 0.5 kg Zn da−1 showed the optimum performance. In conclusion, this study revealed that in P- and Zn-deficient soil, P treatments increased seed yield remarkably, but the combined application of P and Zn resulted in even higher yield increases.
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İncele - MakaleAçık Erişim2025Scopus SJRQ1Enhancing mineral processing with deep learning: Automated quartz identification using thin section images
Külekçi, Gökhan; Hacıefendioğlu, Kemal; Başağa, Hasan Basri
The precise identification of quartz minerals is crucial in mineralogy and geology due to their widespread occurrence and industrial significance. Traditional methods of quartz identification in thin sections are labor-intensive and require significant expertise, often complicated by the coexistence of other minerals. This study presents a novel approach leveraging deep learning techniques combined with hyperspectral imaging to automate the identification process of quartz minerals. The utilizied four advanced deep learning models—PSPNet, U-Net, FPN, and LinkNet—has significant advancements in efficiency and accuracy. Among these models, PSPNet exhibited superior performance, achieving the highest intersection over union (IoU) scores and demonstrating exceptional reliability in segmenting quartz minerals, even in complex scenarios. The study involved a comprehensive dataset of 120 thin sections, encompassing 2470 hyperspectral images prepared from 20 rock samples. Expert-reviewed masks were used for model training, ensuring robust segmentation results. This automated approach not only expedites the recognition process but also enhances reliability, providing a valuable tool for geologists and advancing the field of mineralogical analysis.
AtıfScopus12WoS11OpenAlex14İncele - MakaleAçık Erişim2025Scopus SJRQ3Turkish Version of the Sense of Belonging in Nursing School Scale: Validity and Reliability for Nursing Students
Tuncer, Metin; Tuncer, Gülsüm Zekiye; Yalçınkaya, Turgay; İnce, Merve; Yücel, Şebnem Çınar; Khorshid, Leyla
Background: While a sense of belonging may be necessary for human motivation, the disruption of this sense of belonging among nurses can have implications for patient care and safety. Aim: This article was aimed at assessing the sense of belonging experienced by nursing students in three different settings (clinic, classroom, and student group) by conducting the validity and reliability of the Sense of Belonging in Nursing School (SBNS) scale, adapting it to the Turkish language and culture, and reporting the results. Methods: The study was conducted in a nursing faculty between March and July 2023. The study sample comprised 193 nursing students. We performed the content validity assessment of the 19-item SBNS scale after conducting a structural validity analysis using exploratory factor analysis and confirmatory factor analysis (CFA). The Cronbach’s alpha and item-total score correlations were examined to assess the scale’s internal consistency. Results: The Kaiser–Meyer–Olkin measure of sampling adequacy for the SBNS instrument was 0.903, and the result of Bartlett’s test of sphericity was significant (χ² = 3182.764, p = 0.000), indicating that the scale was suitable for factor analysis. The eigenvalue analysis identified a four-factor structure explaining 76.74% of the total variance. These four factors were subsequently named as follows: (1) clinical compliance, (2) social belonging, (3) school support, and (4) clinical support. The goodness-of-fit values for the model obtained from the CFA were χ2/SD = 2.15, comparative fit index = 0.947, goodness-of-fit index = 0.852, normed fit index = 0.906, incremental fit index = 0.948, and root mean square error of approximation = 0.077, suggesting that the model fit was acceptable, and the four-factor structure was well distributed. The scale exhibited high internal consistency (α = 0.933). Discussion: The SBNS scale is a reliable and valid instrument for measuring the sense of belonging experienced by nursing students in three different environments. Further research is needed to establish its predictive validity. Conclusions and Implications for Nursing: This study was conducted, and there was no scale used in the Turkish literature to measure nursing students’ sense of school belonging; thus, it is the first in this sense.
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İncele - MakaleAçık Erişim2025Scopus SJRQ3Psychometric evaluation and cultural adaptation of the Turkish version of the needs assessment tool: progressive disease-heart failure (NAT: PD-HF)
Kiliç, Betülay; Palaz, Ilknur; Gürel, Tugba Yardimci
Heart failure (HF) is a progressive, life-limiting condition that often leads to complex physical, emotional, and social needs. This study aimed to translate, culturally adapt, and validate the Turkish version of the Needs Assessment Tool: Progressive Disease-Heart Failure (NAT: PD-HF) to facilitate the timely identification of palliative care needs. A total of 98 patients with chronic HF, 91 caregivers, and 25 healthcare professionals participated in this single-centre validation study. The tool underwent forward-backward translation and pilot testing. Internal consistency was good (Cronbach’s α = 0.812), and inter-rater and test-retest reliabilities were high (PABAK: 0.908–1.000). Most patients (84.7%) found the tool understandable, and 67.7% felt it enhanced care. Healthcare professionals from cardiology, intensive care, and palliative care rated it as clinically relevant and feasible. The Turkish NAT: PD-HF is a valid, reliable, and culturally appropriate tool for identifying the palliative care needs of patients with HF and their caregivers. This tool can be integrated into routine clinical practice to facilitate early identification of palliative care needs.
- MakaleAçık Erişim2024Scopus SJRQ1Enhancing brain tumor classification through ensemble attention mechanism
CELIK, Fatih; CELIK, Kemal; CELIK, Ayse
Brain tumors pose a serious threat to public health, impacting thousands of individuals directly or indirectly worldwide. Timely and accurate detection of these tumors is crucial for effective treatment and enhancing the quality of patients’ lives. The widely used brain imaging technique is magnetic resonance imaging, the precise identification of brain tumors in MRI images is challenging due to the diverse anatomical structures. This paper introduces an innovative approach known as the ensemble attention mechanism to address this challenge. Initially, the approach uses two networks to extract intermediate- and final-level feature maps from MobileNetV3 and EfficientNetB7. This assists in gathering the relevant feature maps from the different models at different levels. Then, the technique incorporates a co-attention mechanism into the intermediate and final feature map levels on both networks and ensembles them. This directs attention to certain regions to extract global-level features at different levels. Ensemble of attentive feature maps enabling the precise detection of various feature patterns within brain tumor images at both model, local, and global levels. This leads to an improvement in the classification process. The proposed system was evaluated on the Figshare dataset and achieved an accuracy of 98.94%, and 98.48% for the BraTS 2019 dataset which is superior to other methods. Thus, it is robust and suitable for brain tumor detection in healthcare systems.
AtıfScopus42WoS21OpenAlex42İncele - MakaleAçık Erişim2024Scopus SJRQ1Damage assessment of Siverek Castle during the Kahramanmaraş Earthquakes (Mw 7.7 and Mw 7.6) on 06 February 2023: Remediation and strengthening proposals
Nasery, Mohammad Manzoor; Çelik, Muhammet; Şadoğlu, Erol
On February 6, 2023, two significant earthquakes with magnitudes (Mw) of 7.7 and 7.6 struck Turkey, occurring nine hours apart. In addition to the tragic loss of over 50,000 lives in the earthquakes centered in Kahramanmaraş, hundreds of thousands of engineering structures, such as residences, schools, hospitals, historical landmarks, highways, and more, were severely damaged. This study assesses the damages and risk scenario following the Kahramanmaraş earthquakes concerning Siverek Castle. In addition, remediation and strengthening proposals, required to eliminate the damage and the possible risk, have been developed. The initial stage involved observational damage assessments on the castle and surrounding slopes as part of field studies, identifying five different types of damage and potential risks. Subsequently, a precise 3D digital model of the damaged castle and its slopes was generated using the digital photogrammetry method. Additionally, geological and geophysical studies were conducted in the field to determine the characteristics of the mound structure, historical castle walls, soil and rock on the slope. Non-destructive, geophysical methods consisting Vertical Electrical Sounding (VES), Seismic Refraction Method (SRM) and Multichannel Analysis of Surface Waves (MASW) measurements were specifically employed in the area with historical remnants. To verify the obtained data, five boreholes were drilled in the lower parts of the slope, and experimental studies were conducted to determine the soil and rock material properties of the slope. In the numerical studies, a total of 54 2D stability analyses were performed under static, long-term static, and dynamic conditions. Additionally, 1000 different probabilistic rockfall analyses were conducted, both in 2D and 3D, to calculate the run-out distance, bounce height, velocity, and kinetic energies of the blocks that fell or were about to fall during the earthquake. In the final stage of the study, remediation and strengthening recommendations were prepared for the strengthening of the fortification walls and slopes where failures occurred, and stability analyses were conducted. Consequently, a design proposal recommending five distinct approaches to remediate and strengthen the castle and slopes impacted by the Kahramanmaraş earthquakes was endorsed by the relevant authorities, and construction has commenced. When the remediation and strengthening works are completed, the security of the cultural heritage will be ensured, and it is planned to be opened to visitors.
AtıfScopus21WoS19OpenAlex20İncele - MakaleYalnız künye2025Scopus SJRQ2A comparative study of cognitive function and reaction time in obese and non-obese adults
Yılmaz, Hacı Ömer; Şahin, Kezban; Ayvaz, Hilal
Objective: Obesity may negatively affect the physical health and cognitive functions of individuals and delay their reaction time to stimuli. However, the association among obesity, cognitive functions, and reaction times is yet to be fully elucidated. The aim of this study was to assess the effect of obesity on cognitive functions and visual and auditory reaction times in adults. Methods: Data of 100 participants (50 obese and 50 normal) were analyzed in the study. Anthropometric parameters and 24-h dietary recall data were recorded. The Montreal Cognitive Assessment (MoCA) was used to evaluate the cognitive functions, Simple Reaction Time Task (SRTT)-Visual and SRTT-Auditory were used to assess visual and auditory reaction times of the participants, respectively. Results: The mean MoCA score of the obese was significantly lower than normal (17.46 and 25.22, respectively; p < 0.001). In addition, the mean auditory (p < 0.001) and visual (p < 0.05) reaction times of obese were significantly longer than normal. Similarly, this condition was also observed for the fastest and lowest values of auditory and visual reaction times. Additionally, obesity caused a decrease in the MoCA score (β = -0.762; p < 0.001) and delayed visual (β = 0.423; p < 0.001) and auditory (β = 0.590; p < 0.001) reactions. The negative effect of obesity was maintained after controlling for potential factors (MoCA, β = -0.594; p < 0.001; SRTT-Auditory, β = 0.409; p < 0.01; SRTT-Visual, β = 0.330; p < 0.05). Conclusion: Obese participants showed worse cognitive, auditory and visual performance. Additional research will be necessary in the future to shed light on the fundamental mechanisms involved.
AtıfScopus4WoS6OpenAlex2İncele - MakaleAçık Erişim2025Scopus SJRQ2Niche dynamics and climate change sensitivity in western Palearctic Zamenis ratsnakes (Reptilia: Colubridae)
Vaissi, Somaye; Kürşat Şahin, Mehmet; Kurnaz, Muammer
Climate change poses a significant threat to ectothermic, dispersal-limited reptiles such as Zamenis snakes in the western Palearctic. This study used ensemble ecological models to assess the potential distribution of six Zamenis species under climate change scenarios (SSP1-2.6 and SSP5-8.5). In addition, we examined niche dynamics through overlap, equivalency, and similarity analyses. Results reveal distinct ecological niches for each species, primarily influenced by temperature and precipitation. Projected distribution shifts vary across species, with some species like Z. persicus and Z. situla showing potential for range expansion, while others such as Z. lineatus and Z. scalaris face significant habitat loss. Z. hohenackeri and Z. longissimus exhibit complex patterns of both expansion and contraction. Niche analyses indicate varying degrees of overlap among species, with a trend toward niche conservatism. This study underscores the importance of niche ecology in understanding climate change impacts and highlights the need for species-specific conservation strategies.
AtıfScopus8WoS8İncele - MakaleAçık Erişim2025Scopus SJRQ3MODELING THE KINETICS OF HYDROXYMETHYLFURFURAL (HMF) FORMATION IN POMEGRANATE SOUR PRODUCED BY DIFFERENT EVAPORATION METHODS
Erdoğdu, Esma Gülbahar; Akar, Bülent; Baltacı, Cemalettin
Pomegranate sour is a traditional functional food that is widely consumed in Türkiye. The aim of this study is to determine the most convenient evaporation method to keep the amount of HMF, a carcinogenic substance formed as a result of high temperatures in the production of pomegranate sour, at low levels. The pomegranate sours were produced using five different evaporation methods (atmospheric pressure (AP), freeze-drying (FD), open air (OA), vacuum assisted (VA) and fan assisted (FA)) and the amount of HMF formed during the process was determined. Kinetic calculations showed that VA and FA methods followed first-order reaction kinetics at 60, 70 and 80 °C, while OA, FD and AP methods followed zero-order reaction kinetics at 80, 90 and 100 °C. The mean Q10 value was 1.0006, while the activation energy (Ea) ranged from 72.56 to 126.38 kJ/mol. It was found that the amount of HMF formed varied according to the method, temperature and production time and that the reaction rates increased with increasing temperature, especially for the OA method. In addition, pH, titratable acidity, invert and total sugar content, color, Brix and browning index were analyzed and a kinetic model including all these factors was developed.
AtıfOpenAlex1İncele - Kitap BölümüYalnız künye2025Sentiment analysis of twitter data for US airlines' finance
Cam, Handan; Demirel, Ugur
The airline industry significantly promotes cultural, social, and financial globalization by facilitating connections between nations and individuals. Airline finance encompasses the intricate aspects of managing the economic, operational, and strategic elements of airline corporations on a global scale. In this industry, it is necessary to address various factors, including revenue management, risk management, cost control, and market competition. The interaction of these factors in the global aviation sector influences the financial situation of airlines, requiring strategic planning, flexibility, and a complete understanding of market dynamics. Sentiment analysis in aviation finance uses text and data mining techniques to examine emotional elements derived from social networks, consumer feedback, and news. This facilitates understanding consumer preferences, new trends, investment opportunities, risks, and marketing strategies. Sentiment analysis also helps manage brand reputation by monitoring sentiments expressed by passengers and the general public, allowing proactive measures to maintain a positive reputation. Airline companies rely on conventional customer feedback forms, which can be extremely laborious and timeconsuming. Twitter data is valuable for collecting consumer feedback tweets and conducting sentiment analysis. In this paper, we work on a dataset comprising tweets from the top major US airlines and perform a sentiment analysis in airline finance that can be used more efficiently and effectively in decision-making processes. This would allow airlines to adopt a more knowledgeable, targeted, and competitive strategy by understanding and assessing emotional context.
- MakaleAçık Erişim2025Scopus SJRQ1Hydrodynamic optimization of full-scale aeration tanks using field measurements and computational fluid dynamics modeling
Yılmaz Çelik, Damla; Yılmaz, Naz; Şibil, Rahim; Aras, Egemen; Vaheddoost, Babak
Improving energy efficiency and operational performance in wastewater treatment plants largely relies on precise hydrodynamic analysis. In this context, field-based studies are essential for understanding system behavior under real operational conditions. This study was conducted at a full-scale wastewater treatment plant, where flow dynamics in the aeration tank were evaluated through extensive field measurements and computational fluid dynamics modeling. Data were collected from 98 locations across 15 different depth levels using an Acoustic Doppler Current Profiler and a Hach FH950 velocity meter. The numerical model was initially validated with the help of experimental field data, enabling an accurate assessment of flow characteristics at varying depths. Results revealed that the low-velocity zones and non-uniform velocity distributions negatively affect system performance. It is also concluded that the inlet and outlet positions disturb the favorable circulation patterns and flow uniformity. Geometric optimization strategies were implemented to develop solutions, which led to a more uniform velocity distribution and improved hydraulic efficiency. By integrating detailed field measurements with numerical modeling, this study provides a comprehensive understanding of aeration tank hydrodynamics and offers practical design recommendations for improving overall system performance.
AtıfScopus6WoS6OpenAlex5İncele - MakaleAçık Erişim2024THE DIALECTIC OF ISLAMIC LITERACY AND ADAT CONSERVATION: REMOTE COMMUNITY RECEPTION OF HADITHS IN THE KHUTBAH NAGA MANUSCRIPT OF WEST PAPUA
Al Abza, M. Thohar; Zulfadli; Hasbillah, Ahmad ’Ubaydi; Syibromalisi, Arif; Karimullah, Suud Sarim
This study seeks to explore the pattern of hadith reception in the da’wah practices within the Muslim community of Lilinta, Raja Ampat. In particular, it aims to explore how the hadith text, articulated in Arabic, continues to influence local behaviors, beliefs and customs, despite the community’s lack of cognitive understanding of the language. Employing the living hadith approach and adopting Stuart Hall’s reception theory, this study reveals that Lilinta community demonstrates a habitus pattern of ‘negotiation’ in hadith reception. This study found that while on the one hand the redaction of the hadith was not literally understood by the local Muslims, but the essence of hadith was practiced as cultural doctrines. The pattern of hadith transformation suggests that the hadith and its practices co-exist on divergent paths. Practice transpires through doctrinal channels, while the narrative remains misunderstood. This communalpractical living hadith, grounded in habitus rather than cognition, culminates in robust, albeit static traditions. This study concludes that hadith effectively molds the behavior and beliefs of the Lilinta community when viewed from the practiced behaviors over cognitive understanding.
AtıfScopus4OpenAlex5İncele - MakaleAçık Erişim2022Scopus SJRQ1Innovative approaches to the trend assessment of streamflows in the Eastern Black Sea basin, Turkey
Akçay, Fatma; Kankal, Murat; Şan, Murat
The issue of detection of hydrometeorological trends remains relevant because of the importance of climate change in design, operation, and management studies related to water resources. This study examines the effects of changes in climate and land use on monthly flows (1962–2018) in the Eastern Black Sea basin, Turkey, using innovative trend analysis methods. In this context, innovative polygon trend analysis (IPTA) and innovative trend significance test (ITST) were used to detect the trends and compared with Mann-Kendall test. Only stations with homogeneous data that did not experience non-climatic changes are used in the analysis. IPTA and ITST approaches are much more sensitive than Mann-Kendall in detecting trends. Although the innovative methods are mostly compatible with each other (90%), IPTA presents additional information about trend transitions between successive parts of time series. Results indicate significant decreasing trends in summer months, likely due to diminishing precipitation and effective evaporation.
AtıfScopus48WoS46OpenAlex56İncele - MakaleYalnız künye2025Scopus SJRQ3Assessment of Seismic Responses of Square-Hollow-Section Joints in a Lattice Girder with Soil-Structure Interaction
Ozturk, Kasif Furkan; Ozyurt, Emre; Araz, Onur; Cakir, Tufan
The fixed base approach is widely used to obtain the seismic behaviour of Square Hollow Section (SHS) joints in a lattice girder. However, in some cases where soil-structure interaction (SSI) can be relatively significant, this approach may result in incorrect acquisition of the natural periods and dynamic responses of the lattice girders using welded tubular joints. This situation may negatively affect the safety of the structure by causing an underestimation of the dynamic loads acting on the structure. Therefore, this study evaluates the seismic behaviour of SHS joints in a typical lattice girder exposed to different ground motions considering SSI. A nonlinear finite element analysis software, Abaqus, performs the dynamic analyses considering six earthquake excitations with three different frequency contents (a ratio of peak ground acceleration (PGA) to peak ground velocity (PGV)) and four different soil types. After verifying the numerical model, it is determined that 3D solid elements should be used to capture the actual seismic behaviour of the tubular joints in a steel truss frame with or without SSI. A comprehensive parametric study is then carried out to evaluate the peak displacement and stress values on the SHS joints with and without SSI under different ground motions with different PGA/PGV ratios. The findings show that the stresses are concentrated around the column and bottom chord connection region. Besides, the SSI mechanism significantly affects the peak stress and displacement values of the SHS joints, especially in soft soil types. Furthermore, it is observed that the PGA/PGV ratio significantly changes the seismic responses of the steel truss frame.
AtıfScopus7WoS7OpenAlex6İncele - MakaleAçık Erişim2024Scopus SJRQ2A new species of Buresilia (Opiliones, Phalangiidae) from Turkey
Kurt, Kemal; Kurt, Pinar
A new harvestman species, Buresilia gumushanensis sp. nov. (Opiliones: Phalangiidae), is described based on male specimens collected from Gümüşhane province, Turkey. Detailed descriptions, diagnostic features and pictures of the new species are provided, together with mitochondrial cytochrome c oxidase subunit I (COI) sequences. The phylogenetic tree constructed using the COI gene region revealed the phylogenetic position of the genus Buresilia within the family Phalangiidae. In addition, the new species is compared with known species of the genus Buresilia.
- MakaleAçık Erişim2024Scopus SJRQ2Enterococcus durans SL70, a Novel Exopolysaccharide Producer from Traditional Sourdough Fermentation of Einkorn (Triticum monococcum L. ssp. monococcum)
Genc, Berna; Karatas, Seyda Merve; Tunç, Merve Tuğçe
Research background. Given the potential of microbial exopolysaccharides from lactic acid bacteria in various industrial processes, alternative sources for the isolation of lactic acid bacteria are highly topical. In this study, we used a traditional sourdough from einkorn (Triticum monococcum L. ssp. monococcum) as a source of lactic acid bacteria for the isolation, identification and determination of exopolysaccharide producers. Experimental approach. The sourdough was prepared from einkorn according to the traditional method. Lactic acid bacteria were isolated and purified using the single colony technique on MRS and M17 media. The isolates were characterised using matrix-assisted laser desorption ionization-time of flight mass (MALDI-TOF) spectrometry. All isolates were analysed for extracellular polysaccharide production and one isolate was selected for purification and characterisation of its polysaccharide. Results and conclusions. The isolates were identified as Lactobacillus plantarum, L. paraplantarum, L. brevis, Pediococcus pentosaceus, Enterococcus faecium and E. durans. The production of exopolysaccharides by all lactic acid bacteria was evaluated and it was found that all strains (except one) were capable of producing exopolysaccharides. One polysaccharide (EPS-SL70) was purified from the isolates of E. durans SL70. This anionic heteropolysaccharide had, in addition to the carbohydrate backbone, a protein structure that did not contain nucleic acid. The carbohydrate backbone consisted of mannose, glucose, rhamnose, arabinose, xylose and galactose. Novelty and scientific contribution. The microbial flora of traditional einkorn sourdough has been identified in this study and represents the first report on the exopolysaccharide production by lactic acid bacteria in traditional einkorn sourdough. Additionally, Enterococcus durans from einkorn sourdough was identified as a new exopolysaccharide producer.
AtıfScopus3WoS2OpenAlex4İncele - MakaleAçık Erişim2025Scopus SJRQ2Disaster Management Experiences and Psychosocial Problems of Individuals Who Survived the Earthquake in Turkey in the Earthquake of the Century: A Phenomenological Study
Ulutaşdemir, Nilgün; Uzun, Sevda; Kulakaç, Nurşen
Aim: The aim of this study is to examine the disaster management experiences and psychosocial problems of individuals who survived the earthquake in Turkey during the earthquake of the century. Materials and Methods: A qualitative research design, phenomenological research, was applied in this study. This qualitative study included 33 volunteer earthquake survivors. The interviews were conducted using WhatsApp. Colaizzi's phenomenological analysis method was used to analyze the data. Results: In the analysis of the data, five themes (perception of the earthquake concept, things to do during an earthquake, actions taken to survive under the rubble, meeting everyday chores and dealing with post-earthquake challenges, perceptions of disaster management), and fifteensubthemes (features of the earthquake, emotions, thoughts, correct actions, incorrect actions, actions for the body, situation-oriented actions, housing, nutrition, hygiene, sleep, security, preparation, coping, and intervention) were identified. Conclusion: The study showed that the earthquake negatively affected individuals psychosocially, but the effective spiritual coping mechanisms utilized to cope with the catastrophic event under the rubble supported the survival process. In addition, it was determined that the participants believed that religion and spirituality were important in coping with the earthquake.
AtıfScopus4WoS4OpenAlex4İncele - BildiriYalnız künye2025Scopus SJRQ4A Novel BPA Derivation Method Using Linguistic Fuzzy Sets in Dempster-Shafer Theory
Başkan, Elif; Şahin, Rıdvan
In this study, we present a new method for developing Basic Probability Assignment (BPA) using Linguistic Fuzzy Sets (LFS). Dempster-Shafer Theory (DST) is used to efficiently combine different data sources. The use of LFS provides a robust structure for managing uncertainty in decision making by representing knowledge in linguistic terms. However, effectively integrating multiple uncertain sources requires a strong probabilistic approach. To overcome this challenge, we propose a method to derive BPA values directly from linguistic terms, ensuring compatibility with the DST fusion rule. We then use the Dempster-Shafer combination rule to combine information from various sources, thereby improving the reliability of the decision-making process.
- MakaleAçık Erişim2025The Impact of Militarisation on Environmental Degradation in the E7 Countries: Panel CS-ARDL Approach
Yildiz, Gizem Akbulut; Yildiz, Barış; Al, İbrahim; Kanca, Osman Cenk
This paper, within the framework of the Environmental Kuznets Curve (EKC), investigates the impact of militarisation on environmental degradation, including the role of renewable energy. Military expenditure and burden are used as proxies for militarisation, and models are estimated to quantify their relationship with carbon dioxide (CO2 ) emissions. The study utilizes the CS-ARDL approach to analyse data from Brazil, China, India, Indonesia, Mexico, Russia, and Turkey collectively known as the E7 nations from 1992 to 2022. The method employs both fixed-effect and random-effect models, taking into account short-run and long-run coefficients while accounting for cross-sectional dependencies and heterogeneities. The study puts forward four hypotheses for investigation, and a notable finding is that military expenditure, contradicting prevalent sustainability assumptions, has a substantial impact on the reduction of CO2 emissions over both short and long-run periods. This suggests that within the E7 context, militarisation may paradoxically function as a catalyst for environmental conservation rather than a detrimental impact. The findings further corroborate the inverted U-shaped EKC hypothesis by demonstrating that while economic growth initially increases emission levels, these levels begin to decline once a certain income threshold is reached. The study also underscores the long-run benefits of renewable energy in reducing CO2 emissions and advocates for investment in green energy projects, complemented by implementing viable environmental policies. These insights offer actionable guidance for policymakers seeking to harmonize economic development with environmental protection and sustainability objectives.
- MakaleYayıncıda açık erişim2024Scopus SJRQ1Public's social media use during the Kahramanmaraş earthquakes on 6 February 2023
Mızrak, Sefa
Social media facilitates crisis management and emergency response efforts by disseminating disaster information during disasters. Understanding the positive and negative contributions of social media to disaster management after devastating disasters will make social media more effective and efficient for crisis management in the future. The objective of this study was to investigate the public's social media use in the 15-day period after the earthquakes that occurred on February 6, 2023, in Türkiye. The study was designed both quantitatively and qualitatively. The data were collected from 1698 people residing in Türkiye via a survey method and analyzed via descriptive, ordinal logistic regression, and thematic analysis. The thoughts of 245 participants regarding social media use were analyzed qualitatively. The results showed that social media was employed as a powerful resource for sharing information after the earthquakes. The participants used Instagram the most and followed the social media accounts of the institutions the most. Posting the physical and psychological damage of earthquakes and humanitarian aid negatively affected the participants and caused them to think that social media was useless. Due to the information shared by social media phenomena and nongovernmental organizations, the participants stated that social media was useful after the earthquakes. For people to share posts that will contribute to search and rescue, aid and damage assessment on reliable and high-follower social media accounts, disaster managers, scientists and policy makers should understand communities' usage intentions, satisfaction and criticism regarding social media accounts and platforms during previous disasters.
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