Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Uzun, Sevda(66)
- Merdan, Mehmet(56)
- Duran, Celal(50)
- Ozdes, Duygu(47)
- Kaygusuz, Abdullah(42)
- Demir, Selim(37)
- Turan, Ibrahim(37)
- Ashyralyyev, Charyyar(34)
- Dokuz, Abdurrahman(33)
- Araz, Onur(31)
- Öztürk, Serkan(31)
- Sipahi, Ferkan(30)
- Kandemir, Raif(28)
- Arslan, Mehmet(27)
- Karsli, Orhan(27)
- Kulakaç, Nurşen(26)
- Baltacı, Cemalettin(25)
- Gücer, Mehmet Ali(25)
- Kurt, Kemal(25)
- Maden, Nafiz(25)
- Ozturk, Samet(25)
- Topal, Fevzi(25)
- Baltaci, Cemalettin(24)
- Yücel, Cem(24)
- Aliyazicioglu, Yuksel(23)
- Bayrakdaroglu, Serdar(23)
- Kankal, Murat(23)
- Peker, Iskender(23)
- Yolcu, Halil(23)
- Reis, Hatice Catal(21)
- Topal, Meryem(21)
- Vural, Alaaddin(21)
- Aydin, Aydanur(20)
- Aydin, Faruk(20)
- Bayraktar, Alemdar(20)
- Kurnaz, Muammer(20)
- Çelik, Necati(20)
- Ürkek, Bayram(20)
- Cakir, Tufan(18)
- Günen, Mehmet Akif(18)
Yayınlar
- MakaleAçık Erişim2025Scopus SJRQ1The Protective Effect of Boric Acid Against High Fructose-Induced Liver and Kidney Damage in Rats
Yüksel, Duygu; Başeğmez, Mehmet; Kan, Fahriye
This study aimed to determine the protective role of boric acid (BA) in high fructose (HF)-induced liver and kidney toxicity in a young rat model. High-fructose consumption causes serious damage to liver and kidney tissue in healthy individuals and contributes to the emergence of various metabolic diseases. Thirty-two healthy female Wistar albino rats (250–300 g weight and 3–4 months) were randomly distributed into four equal groups (n = 8): control, high fructose % 20 (HF), boric acid 20 mg/kg (BA), and HF + BA. High fructose was freshly prepared and administered to the rats as 20 g of d-fructose dissolved in 100 mL of tap water daily for a duration of 30 days. Boric acid (20 mg/kg) was administered through gastric gavage throughout the 30-day study period. At the end of study, blood, liver, and kidney were collected from rats. The results indicated that high fructose induced increased glucose, total cholesterol, triglyceride, and urea levels in rat serum. Boric acid administration significantly decreased glucose, total cholesterol, triglyceride, and urea levels in HF + BA groups. The results indicated that high fructose-induced oxidative stress by increasing the level of MDA and by decreasing GSH levels, and CAT activity in the liver and kidney of rats. However, oral BA administration significantly decreased MDA levels and increased GSH levels, and CAT activity (p < 0.05). Furthermore, BA significantly reduced high fructose-induced histopathological and Immunohistochemistry alteration in the liver and kidney tissues. In conclusion, BA may prevent the oxidative imbalance and histopathological and immunohistochemical damage caused by high fructose in liver and kidney tissues in rats.
AtıfScopus4WoS3OpenAlex3
İncele - MakaleYayıncıda açık erişim2025Scopus SJRQ3An Analysis on The Relationship of Organic Honey Production and The Number of Producers with Growth, Employment, and Agricultural Employment in Türkiye; [Türkiye’de Organik Bal Üretimi ve Üretici Sayısı ile Büyüme, İstihdam ve Tarımsal İstihdam Arasındaki İlişkinin Tespitine Yönelik Bir Analiz]
Merdan, Kurtuluş
The growing world population has driven humanity to produce more food, potentially leading to the neglect of quality and safety in food production. Evolving life conditions and technological progress have altered the consciousness level of humanity, bringing about new demands in some communities due to high income. Organic beekeeping has developed within this structure and tends to flourish as a model in Türkiye. Organic beekeeping has increased the income from beekeeping. It is practiced in natural unspoiled areas with no conventional feeding and chemical pesticides and requires supervising all processes through inspection and certification. Besides organic honey, the most common organic beekeeping product, organic bee products include bee pollen, propolis, royal jelly, beeswax, and bee venom. This study presents the economic analysis of organic honey production volume in Türkiye. For this purpose, the short and long-term relationships of organic honey production and the number of producers with economic growth, employment, and agricultural employment were analyzed. In addition, organic honey production and the number of organic honey producers were examined as driving forces for growth, employment, and agricultural employment. In this context, annual time series data between 2004 and 2022 were used as the sample. According to the analysis, organic honey production, an independent variable, had no long-term relationship with employment and agricultural employment variables, whereas it had a long-term relationship with the growth variable. The number of organic honey producers, another independent variable, was found to have no long-run relationship with the employment variable; however, it had a long-term relationship with the growth and agricultural employment variables. The findings of the study indicated that organic honey production did not drive growth, employment, or agricultural employment. On the other hand, the number of organic honey producers led to growth, yet not to employment or agricultural employment.
- MakaleAçık Erişim2025Scopus SJRQ2Some physical and mechanical properties of particle boards produced from industrial wood chips and Scots pine (Pinus sylvestris) cones
Karahan, Selim; Guler, Cengiz
This study investigated the potential use of Scots pine cones as an alternative raw material to larch wood chips for particle board production. Due to the increasing scarcity of forest resources, exploring alternative raw material for the forest industry has gained importance in in recent years. Particle boards were produced in laboratory conditions by blending industrial wood chips with Scots pine cones in varying proportions (25 %, 50 %, 75 % and 100 %) and usingr urea formaldehyde glue. The adhesice mixture contained 55 % urea formaldehyde glue and 33 % ammonium chloride as a hardener. Te production parameters included a press temperature of 150 °C, a press time was 7 minutes, and a press pressure of 2,4 MPa to 2,6 MPa. The resulting boards had a thickness of 16 mm and a density ranging from 730 kg/m3 to 740 kg/m3. Tests for thickness iswelling, water absorption, bending strength, modulus of elasticity and tensile strength perpendicular to the surface were conducted. Results showed that the physical and mechanical properties of the boards containing up to 25 % Scots pine cone met the required standards.
AtıfScopus2WoS2OpenAlex3İncele - MakaleYalnız künye2025Scopus SJRQ2Development of gluten-free cookie using composite flour from corn and lentil flours: Study by response surface methodology
Bursa, Batuhan; İlyasoğlu, Huri
The demand for gluten-free foods has increased due to health-based issues and lifestyle choices. This study aimed to develop a gluten-free cookie with enhanced nutritional value. For this reason, the composite flour from corn flour (CF) and lentil flour (LF) was prepared for cookie formulation. To eliminate the possible negative impact of LF on the sensorial properties of the cookie, lemon peel powder (LPP) was incorporated into the cookie formulation. The effects of the LF level of composite flour and the incorporation level of LPP on the physical, textural, and sensorial properties of the cookie were investigated via response methodology. The optimal levels were found as 16 g LF and 1 g LPP for 100 g composite flour. The physical, textural, and sensorial properties, proximate composition, vitamin C and total phenolic contents, and antioxidant capacity of the developed cookie and control cookies were determined. The developed cookie had a higher nutritional value than the control cookie made from CF in terms of protein, dietary fibre, ash, and vitamin C. Moreover, it presented higher total phenolic content and radical scavenging activity. According to these results, the developed cookie can be proposed for a gluten-free diet.
AtıfScopus3WoS2İncele - MakaleAçık Erişim2025Scopus SJRQ3Superconducting Properties of Welded Three Top-Seeded YBa2Cu3O7−x Produced with NdBCO/YBCO/MgO Thin-Film Seed
Batur, Kübra Nur; Duman, Şeyda; Çakir, Bakiye; Başoğlu, Mehmet; Aydiner, Alev
This study investigates hollow single-crystal top-seeded melt growth (TSMG) YBa2Cu3O7−x (YBCO or Y123) samples welded with Ag-added TSMG YBCO solder materials produced using NdBCO/YBCO/MgO thin-film seeds. Three main samples and one solder material are produced by the TSMG method. In order to increase the dimensions of the bulk YBCO superconductor, two slices of the solder material and the main samples are stacked on top of each other with the c-axis parallel and welded at 1030 °C. X-ray diffraction patterns, polarized optical photographs, and SEM micrographs are taken to determine the structural properties of the samples. A preferential orientation in the c-axis is observed with a good connection. Low-temperature resistance and magnetization measurements are made for the specimens taken from the welding region. A sharp superconducting transition occurs at 0 T around 93 K for welding regions of W-ab and W-bc specimens. The critical current densities (Jc) are high as in the main samples. At the same time, the Jc values at 77 K and 0 T are found as 1.54 × 104, 1.98 × 104, 2.21 × 104, 2.31 × 104, and 2.36 × 104A cm−2 for the W-a, W-ab, W-b, W-bc, and W-c specimens, respectively. The single-grain feature is not impaired; thus, the absence of additional grain boundaries facilitates the current passage.
- MakaleAçık Erişim2025Scopus SJRQ3Mathematical analysis of fractional order Covid 19 epidemic model
Açikgöz, Pınar; Merdan, Mehmet
This article aims to examine the dynamics of the fractional epidemic model of covid 19. The model in question incorporates the notion of a compatible derivative. Given their consistent and worldwide characteristics, fractional derivatives are presently employed to address nu-merous practical issues. In addition, we employ two numerical techniques, namely the con-formal differential transform and the variational iteration approach, to provide an approxi-mate solution for the given model. The research closes by providing an in-depth analysis and visually representing the numerical findings. Furthermore, it has been demonstrated that the solution obtained is convergent.
AtıfOpenAlex1İncele - MakaleAçık Erişim2025Scopus SJRQ1The psychological consequences of 6 February 2023 Kahramanmaraş earthquakes
Kiymis, Ibrahim; Fakioglu, Merve
The Kahramanmaraş earthquakes (2023) are the largest and most destructive earthquakes witnessed in the era of the Republic of Turkey. Earthquakes lead to serious mental health disorders (MHD) such as Post-Traumatic Stress Disorder (PTSD) in individuals. Earthquakes that cause significant death and injury on a large scale, such as the Kahramanmaraş earthquakes, can result in various mental health disorders. Therefore, the aim of the study was to examine the effects of variables such as PTSD, event impact, psychological resilience, depression, and anxiety levels on adult earthquake survivors affected by the Kahramanmaraş earthquakes, using a quantitative research approach with survey techniques. A total of 662 earthquake survivors were reached. The effect of variables on each other was analyzed using Structural Equation Modeling (SEM). According to the findings of the study, event impact had a significant and positive effect on PTSD (β = 0.780, p = 0.000). Unexpectedly, resilience did not have a significant effect on PTSD (β=-0.04, p > 0.05). PTSD had a significant and positive effect on anxiety (β = 0.936, p = 0.000) and depression (β = 0.643, p = 0.000). Consequently, event impact’s severity increased PTSD, which in turn led to anxiety and depression. Surprisingly, psychological resilience did not serve as a protective factor against PTSD. For future research, it is recommended to examine psychological resilience with different event types, on different sample groups, and using more comprehensive and varied methods.
AtıfScopus9WoS10OpenAlex13İncele - MakaleAçık Erişim2025Scopus SJRQ3The effect of using a local skin cooling device on arteriovenous fistula cannulation pain and comfort level of patients on hemodialysis: A single-blind randomized controlled study
Demırağ, Hatice; Kulakaç, Nurşen
Introduction: The study aimed to investigate the impact of the using local skin cooling on arteriovenous fistula cannulation pain and the comfort levels of hemodialysis patients. Methods: The single-blind randomized controlled trial was formed with 50 patients between June 20, 2023, and July 31, 2023, in the hemodialysis units of two state hospitals in Turkey. Patients were randomly assigned to either the experimental group (n = 25) or the control group (n = 25) using the block randomization method. This data were collected through the use of the CoolSense device, the “Patient Information Form,” the “Verbal Category Scale,” and the “General Comfort Scale.” Patients in the experimental group received the local skin cooling for five seconds during arteriovenous fistula cannulation, while the control group followed the standard hospital protocol. The study was registered on Clinical Trials (NCT06144801). Findings: The study revealed that the application of the local skin cooling during arteriovenous fistula cannulation significantly reduced pain and increased patients’ comfort levels, demonstrating an anesthetic effect (p < 0.001). Furthermore, it was observed that as pain levels decreased, patient comfort levels increased (p < 0.001). Discussion: It is concluded that the using lokal skin cooling is an effective tool for reducing pain and enhancing comfort during arteriovenous fistula cannulation in hemodialysis patients.
AtıfScopus3WoS3OpenAlex3İncele - MakaleYalnız künye2025Scopus SJRQ3Golden Distance: A New and Comprehensive Metric Definition Study Facilitating Classification Performance Evaluations
Melek, Mesut; Melek, Negin
Machine/deep learning has great potential in many classification studies that make our lives easier. Performance evaluation of the classification algorithm is of great importance for making accurate predictions in machine learning, which, itself, learns from data without any human intervention. In these learning models, high-dimensional data in classes with complex features belonging to balanced or unbalanced distributions are analysed with different classification algorithms and take their place in the decision stage. While the difficulties in implementing classification algorithms continue today, evaluating the superiority of developed systems over each other continues to be both a time-consuming and very difficult process. In models proposed in the literature, only a single parameter, such as accuracy, is not sufficient to determine model adequacy. In this context, among different classification algorithm performance parameters, some metrics such as sensitivity, specificity, F-measure (F1), Jaccard index, area under the curve, and kappa coefficient are used for system evaluation. As these parameters are placed in the analysis tables, the study should be evaluated at length by including large tables in the article. Instead of using various parameters that make performance analysis difficult in system evaluation, this study defines a new Golden Distance-based parameter that summarizes the model comprehensively from all dimensions. To understand this new metric’s working principle, a detailed comparative analysis of research conducted on three datasets was performed. Based on the final evaluation, the proposed inclusive metric demonstrated successful and fair behaviour in all conditions. Thus, a fair and simple comparison will be achieved with a single metric, and long analyses can be avoided by presenting many performance parameters in systems’ superiority indicator tables.
AtıfScopus9WoS10OpenAlex12İncele - MakaleYayıncıda açık erişim2025Scopus SJRQ2Optimizing Visibility of Historical Structures Using Modified Weighted Differential Evolution: Insights from the Kromni Valley, Gümüşhane, Türkiye
Günen, Mehmet Akif; Öztürk, Kaşif Furkan; Aliyazıcıoğlu, Şener
It is very important for historical structures to see each other in order to reveal the historical and cultural identity of a region. Historical structures in the Kromni Valley of Gümüşhane, located near the Sümela Monastery, served as places of worship, communication, trade, and social activity centers during their period of active use. This study analyses the spatial relationships of 38 historic buildings, including churches, chapels and castles, whose 3D models are created by in-situ measurements and point clouds obtained by unmanned aerial vehicles, using a 3D viewshed analysis using geographic information systems and remote sensing data. The research introduces a modified weighted differential evolution-based viewshed analysis (mWDE-WS) to enhance the visibility of these structures. In order to assess the applicability of the proposed method, a statistical comparison was conducted between four different Differential Evolution (DE) algorithms (standard DE, LSHADE, CobiDE, JADE and WDE) and the mWDE. The Wilcoxon signed-rank test indicates that mWDE is a more effective solution than alternative methods for addressing the relevant real-world issues. The study also integrates drainage network analysis to assess flood risks and the relationship between cultural structures and water flow. Findings show that historical structures in the region were built not randomly but within a rational approach and 64% of the study area is visible from structures and 2% of the area is visible from ten or more structures. mWDE-WS analysis revealed that the visible area could increase by 20% to 84.37% if the historic structures were placed in optimal locations. In addition, the historical structures were built away from 3rd order streams to minimize flood risk and humidity, demonstrating the community's awareness of the local topography and hydrology.
AtıfScopus1OpenAlex3İncele - MakaleAçık Erişim2025Scopus SJRQ1DAPNet++: density adaptive PointNet + + for airborne laser scanning data
Akbulut, Zeynep; Karsli, Fevzi
Addressing the challenges arising from the irregularity and varying density of Airborne Laser Scanning (ALS) point clouds, which particularly affect the performance and generalization ability of 3D Deep Neural Networks (DNNs), is essential for their effective application in direct semantic segmentation tasks. In this study, we investigated the underexplored aspect of adapting PointNet + + for semantic segmentation of ALS point clouds. We introduced Density-Adaptive PointNet++ (DAPNet++) to enhance robustness against variable point densities through modifications made to the original PointNet + + architecture. Our methodology includes controlled block partitioning based on point density replacing the original batching strategy. Another key advancement in the study is the automation of the initial value of the neighborhood search radius by taking into account the characteristics of the dataset. This approach optimizes receptive field determination, crucial for effective semantic segmentation. The effectiveness of DAPNet + + is validated through extensive experiments on various datasets, including ISPRS Vaihingen, DALES, subsampled DALES, and OpenGF. Notable improvements include up to 11% increase in weighted mean Intersection-over-Union (mIoU) on the highly variable OpenGF test dataset and 3% increase in mIoU on the subsampled DALES dataset. Furthermore, the generalization capability of the DAPNet + + was tested, revealing an approximately 5% improvement in evaluation metrics compared to PointNet++. In summary, DAPNet + + minimizes trial-and-error in the selection of parameters for block partitioning and radius, and it enhances robustness against variable point density. With the proposed approach, it has been observed that there is a significant improvement in accuracy for underrepresented classes, mitigating class imbalance in ALS point clouds.
AtıfScopus9WoS5OpenAlex6İncele - MakaleAçık Erişim2025Scopus SJRQ1The Effect of Audio-Visual Methods on Preoperative Anxiety in Children: A Systematic Review and Meta-Analysis of Randomized Controlled Trials
Kulakaç, Nurşen; Ustuner Top, Fadime
Background: Children presenting to hospitals during the preoperative period are often exposed to procedures that cause significant stress. Through preoperative interventions, nurses play an important role in relieving the anxiety of children and their parents. Objective: This study was conducted to determine the effect of audio-visual methods on preoperative anxiety levels in children. Methods: PubMed (including MEDLINE), Cochrane, EBSCOHost, Web of Science, YÖK National Thesis Center, and Google Scholar databases of randomized controlled studies published in the last 10 years were searched for this meta-analysis. 32 studies were included in the meta-analysis, and the total sample size was 2795. Results: Q According to the results of the meta-analysis using the random-effects model, audio-visual methods had a positive effect on reducing anxiety (SMD: -1.312, %95 CI -1,666-(0,958), Z=-7,260, p < 0,001, Q-value = 556,572 I2 = 94.519). The moderator analysis demonstrated that cartoons (SMD:-1.645, p < 0.001), games (SMD:-1.931, p = 0.001), music (SMD:-0.534, p < 0.001), video showings (SMD:-1.363, p = 0.001), and virtual reality (SMD:-1.782, p < 0.001) reduced preoperative anxiety in children. Conclusions: Audio-visual methods are effective in reducing preoperative anxiety in children. The results of this study may provide pediatric perioperative nurses with additional information to help them decrease anxiety for patients and their families.
AtıfScopus4WoS3OpenAlex4İncele - MakaleAçık Erişim2025Scopus SJRQ1Effect of eHealth Interventions on Medication Adherence in Kidney Transplant Recipients: Meta-Analysis of Randomised Controlled Trials
Tuncer, Metin; Tuncer, Gülsüm Zekiye
Background: Kidney transplant recipients must take immunosuppressive drugs for life, and medication non-adherence is a primary risk factor for graft loss and death. With the advancement of technology, electronic health applications are widely used in chronic disease management and offer the potential to improve medication adherence in kidney transplant recipients. Aim: This meta-analysis aims to evaluate randomised controlled trials (RCTs) that assess the effectiveness of eHealth interventions in improving medication adherence among kidney transplant recipients. Methods: This study, which was designed as a systematic review and meta-analysis, followed PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) protocols in the planning and reporting phases. Electronic databases and manual literature searches were the two main data sources. Full-text RCTs in PubMed, Medline, Web of Science and Scopus databases were systematically searched. The searches covered studies from 2014 to March 2024. Results: The search yielded 524 articles. Eight RCTs with 779 participants were included in the analysis. The meta-analysis results indicated that, compared with the control group, adherence rates (RR: 1.19; 95% CI: 1.06–1.35; p = 0.01. Heterogeneity: Q = 8.69; p = 0.28; I2 = 19%) and adherence scores (SMD: 0.17; 95% CI: 0.05–0.29; p = 0.02. Heterogeneity: Q = 0.45; p = 0.93; I2 = 0%) significantly increased in the eHealth intervention group compared with the control group. Conclusion: The findings of this report show that eHealth interventions to improve medication adherence in kidney transplant recipients show favourable outcomes compared with standard care. We recommend eHealth interventions to improve long-term survival and patient outcomes in kidney transplant recipients.
AtıfScopus2WoS2OpenAlex3İncele - MakaleYalnız künye2025Scopus SJRQ3The Epiphytic Bryophyte Vegetation of the Karçal Mountains (Artvin, Türkiye)
Batan, Nevzat; Özcan, Osman; Ezer, Tülay; Erata, Hüseyin; Alataş, Mevlüt
Abstract: In this study, the epiphytic bryophyte vegetation of the Karçal Mountains (Artvin) in the Caucasus Region was investigated. Relevés collected from living tree trunks during various vegetation periods in 2022 were analyzed using the Braun-Blanquet method and multivariate analysis techniques. As a result, Anomodontetum attenuati-Ulotetosum crispae subass. nov. was described and characterised as a new epiphytic syntaxa. In addition, Orthotrichetum rupestris, Orthotrichetum speciosi, Uloto crispae-Orthotrichetum striati, and Anomodonto viticulosi-Leucodontetum sciuroidis-Anomodontetosum attenuati were determined for the first time in Türkiye. All syntaxa were presented by analyzing them in terms of their ecological and floristical classifications.
AtıfScopus1İncele - MakaleAçık Erişim2025Scopus SJRQ3Technological and nutritional aspects of fresh purslane (Portulaca oleracea L.) in ice cream production
Hezer, Fatma; Gündoğdu, Engin
Purslane (Portulaca oleracea L.) is rich in ω-3 fatty acids, antioxidants, and minerals, and has notable neuroprotective, anti-inflammatory, antimicrobial, antidiabetic, antioxidant, anticancer, and antihypertensive properties. This research evaluated the effect of fresh purslane (FP) on the physicochemical and nutritional properties of ice cream, including α-linolenic acid (ALA; 18:3; ω-3), mineral content, and antioxidant properties, along with sensory characteristics. FP was added at 0, 5, 10, and 15% (w/w) levels. The addition of FP significantly increased the iron (Fe), calcium (Ca), copper (Cu), sodium (Na), oleic acid (OA), and ALA contents (P < 0.05). FP also increased the first dripping and complete melting times, while decreasing overrun and viscosity. Total antioxidant capacity (TAC) remained unchanged (P > 0.05), but total phenolic content (TPC) and 2,2-diphenyl-1-picryl-hydrazyl (DPPH) radical scavenging activity significantly increased (P < 0.01). Thirty-one volatile compounds were identified, with increases in octadecane, dodecane, and 2-hexenal concentrations due to FP addition. Although the addition of FP improved the ALA content and antioxidant properties, sensory results showed that FP over 5% (w/w) lowered taste and general acceptability scores. Thus, using 5% of FP in ice cream is optimal for enhancing nutritional properties.
AtıfScopus1WoS1OpenAlex1İncele - MakaleYalnız künye2025Scopus SJRQ1Discontinuities identification from rock outcrop using auto-encoder and point clouds
Günen, Mehmet Akif; Aliyazıcıoğlu, Şener
Rock slopes and geotechnical structures often exhibit discontinuity planes, which significantly influence their mechanical behavior and stability. The precise identification of these discontinuities is critical for ensuring the safety and cost-effectiveness of construction projects. However, previous methods are often limited by subjectivity, low automation, and challenges in inaccessible or hazardous environments. This study introduces a novel seven-step approach utilizing auto-encoders for estimating the orientation parameters of individual discontinuity sets from point cloud data. The steps include: data collection, filtering point clouds to eliminate outliers, determining neighborhood size, feature extraction, training a stacked auto-encoder for feature learning, estimating discontinuity sets using density-based clustering, and calculating individual discontinuities through the least squares method for orientation parameter estimation. In addition, the methodology incorporates a planarity-based approach for estimating neighborhood size. The statistical performance has been validated through evaluations in two real case studies and one synthetic case study. The classification achieves an accuracy exceeding 95%, highlighting the high efficacy of the approach. Results for orientation parameter estimation show consistency with existing methods and in situ measurements, with average orientation values for discontinuities within 5 degrees for individual sets. This framework represents a considerable advancement in rock discontinuity analysis, offering a robust and automated solution that is particularly effective in hazardous and hard-to-reach areas.
AtıfScopus10WoS10OpenAlex11İncele - MakaleAçık Erişim2025Scopus SJRQ2Perioperative stress experiences of patients before surgical operation: A phenomenological study
ÖZKAN, Esra; BAYRAK, Nurten Gülsüm; UZUN, Sevda
Aim: The aim of this study was to evaluate patients' experiences of perioperative stress before surgery using a phenomenological approach. Design: In the study, in which phenomenological research method was used, semi- structured in-depth interviews were conducted with 12 patients who were treated in the orthopedics clinic. Method: Criterion sampling method, one of the purposive sampling methods, was used to reach the sample group. Interviews continued until data saturation was achieved. All interviews were recorded on a voice recorder after obtaining the necessary permissions and then transcribed. The data of the study were evaluated using thematic analysis. The study was conducted and reported according to the COREQ checklist. Results: In the analysis of the data, three main themes (situations experienced before the surgical operation, feelings and thoughts about the operating room, and perioperative stress and thoughts about healthcare professionals) and seven sub-themes (mental, physical, social, emotions, thoughts, positive thoughts and negative thoughts) were identified. Conclusion: It was found that patients experienced many psychosocial difficulties, especially fear and anxiety, in the preoperative period. It can be said that the difficulties experienced are related to both the surgical process and the operating room environment and the communication and interaction of healthcare professionals. In this context, determining the fear and anxiety levels of patients in the preoperative process, providing standardized comprehensive trainings to patients in order to prevent different practices related to the surgical process, organizing in-service trainings to strengthen the communication skills of healthcare professionals are very important for the healthy management of the process and providing holistic nursing care.
AtıfOpenAlex2İncele - MakaleAçık Erişim2025Scopus SJRQ1Motivating Green Transition: Analyzing Fuel Demands in Turkiye Amidst the Climate Crisis and Economic Impact
Coruh, Emine; Yıldız, Mehmet Selim; Urak, Faruk; Bilgic, Abdulbaki; Cengiz, Vedat
Decarbonizing the transportation sector is critical for sustainable development, particularly in rapidly urbanizing countries like Turkiye. This study analyzes fuel demand elasticities for diesel, gasoline, and LPG across 12 NUTS-1 regions of Turkiye in 2022, using a panel random effects SUR approach. The model accounts for regional variation and fuel interactions, producing robust estimates that uncover significant spatial and temporal differences in consumption patterns. Uniquely, diesel demand displays a significantly positive price elasticity, challenging the conventional assumption of inelasticity. Gasoline demand is moderately price-sensitive, while LPG appears relatively unresponsive. Strong cross-price elasticities—especially between diesel and gasoline—point to substitution effects that can inform more adaptive policy frameworks. Seasonal fluctuations and Istanbul’s outsized impact also shape national trends. These findings underscore the need for differentiated region- and fuel-specific strategies. While higher gasoline taxes may effectively reduce demand, lowering diesel and LPG use will require complementary measures such as infrastructure upgrades, behavioral incentives, and accelerated adoption of alternative fuels. The study advocates for regionally adjusted carbon pricing, removal of implicit subsidies, and targeted support for electric and hybrid vehicles. Aligning fiscal tools with actual demand behavior can enhance both the efficiency and equity of the transition to a low-carbon transportation system.
AtıfScopus3WoS4OpenAlex5İncele - MakaleYalnız künye2025Scopus SJRQ2Beyond the Call to Serve: Measuring Donation Motives in Social Work Students
Akinci, Habibullah; Yücel, İbrahim; Kalayci, Erdinç
Understanding the motivations behind charitable giving is crucial, particularly among emerging social work professionals. This study presents the development and validation of a novel “Donation Motives Scale” specifically designed for social work students. Drawing upon established theories of donation behavior and existing measurement tools, a comprehensive item pool was generated. Through rigorous analysis, a 17-item scale emerged, structured around four distinct factors: social dignity and appreciation, social responsibility, personal satisfaction and self-evaluation, and humanity and empathy. The scale demonstrated strong validity and reliability within a sample of university students, indicating its potential as a robust tool for investigating donation motives within this population.
- MakaleYayıncıda açık erişim2025Scopus SJRQ1Discontinuity characterization for slope stability assessment using combined aerial photogrammetry, and geophysics approach
Junaid, Muhammad; Abdullah, Rini Asnida; Ullah, Arshad; Sa’ari, Radzuan; Mahmood, Sajid; Rehman, Hafeezur; Rehman, Safi ur; Sari, Mahmut
An expeditious and precise slope stability assessment approach is required to mitigate the personnel and economic losses due slope failure disaster. This study successfully determines various discontinuity properties such as degree of fracturing, discontinuities orientation and persistence using combine unmanned aerial vehicle (UAV) and 2D electrical resistivity tomography (2D ERT) to evaluate the stability of the slope. The discontinuity orientations govern the various modes of failure such as planar, wedge, and flexure toppling. Whereas the degree of fracturing of the rock mass evaluates the quality of the rock mass using Rock Quality Designation (RQD) index. In addition, the persistence is defined as the extent to which the discontinuity on exposed surface rock intruded inside the rock mass. The 3D point cloud from UAV images allows to obtain the discontinuity orientations to analyse the potential failure at the site. The upper portion of the slope has no risk of planar and wedge failure, whereas 20% of the discontinuities are favourable for flexure toppling. In contrast, at the lower section of the slope 1.04%, 4.86% and 20% discontinuities are prone to planar, wedge and flexure failure respectively. At the same time the RQD index obtained via UAV survey reveals that the respectively area covered by very poor, poor, fair, good, and excellent rock were 7 m2, 3904 m2, 38,775 m2, 42,943 m2, 1546 m2. The ERT survey enable to estimate the area covered by poor, fair, good and excellent rock were 4 m2, 1650 m2, 2592 m2, 27,729 m2, and 55,200 m2, respectively. Both the UAV and 2D ERT survey shows the poor-quality rock in the north-east of the slope that reveals that the discontinuities are extended inside the rock mas. This study, therefore, conclude that the combined 2D ERT and UAV approach is efficient and expeditious approach for comprehensive slope stability assessment.
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