Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Uzun, Sevda(34)
- Tuncer, Metin(11)
- Merdan, Mehmet(10)
- Emirza, Elif Güzide(9)
- Yilmaz, Coskun(9)
- Baltaci, Cemalettin(8)
- Baltacı, Cemalettin(8)
- Tuncer, Gülsüm Zekiye(8)
- Türkkan, Tuğba(8)
- Dinç, Artum(7)
- Araz, Onur(6)
- Bekar, Fevziye(6)
- Cakir, Mehmet Ali(6)
- Ceylan, Levent(6)
- Duran, Celal(6)
- Koçak, Tevfik(6)
- Ozdes, Duygu(6)
- Soydaş, Şafak Sönmez(6)
- Akmeşe, Osman(5)
- Akyol, Hikmet(5)
- Bayrak, Nurten Gülsüm(5)
- Bayrakdaroglu, Serdar(5)
- Bülbül, Kenan(5)
- Ceylan, Halil Ibrahim(5)
- Gücer, Mehmet Ali(5)
- Karimullah, Suud Sarim(5)
- Kavuran, Korhan(5)
- Kaygusuz, Abdullah(5)
- Kulakaç, Nurşen(5)
- Kurnaz, Muammer(5)
- Saydam Eker, Çiğdem(5)
- Turk, Veysel(5)
- Öztürk, Serkan(5)
- (Alieva), Vildane Özkan(4)
- Abada, A.(4)
- Abbrescia, M.(4)
- Abdolmaleki, H.(4)
- Abidi, S. H.(4)
- Abramov, A.(4)
- Adam, C.(4)
Yayınlar
- Kitap BölümüYalnız künye2025Scopus SJRQ4The Robust Method for Solving the Conformable Time-Fractional Klein–Gordon Equation
Anaç, Halil
The present study used the conformable fractional q-Shehu homotopy analysis transform method to investigate the conformable time-fractional Klein–Gordon equations with proportional delay. The numerical answers to this problem are graphed using Maple software. The efficacy and consistency of the proposed method have been demonstrated through numerical simulations.
- Kitap BölümüYalnız künye2025Scopus SJRQ4Investigation of Fractional Order Genesio-Tesi System Using Laplace Transformation
Bekiryazici, Zafer; Sengul, Suleyman; Merdan, Mehmet
In this paper the fractional-order Genesio-Tesi chaotic system is investigated with Laplace transformation method. Genesio-Tesi system is a three-dimensional equation system with quadratic nonlinearity and is frequently used for exemplifying chaotic systems. In this study, Caputo fractional derivative is used to obtain the fractional system and Laplace transformation is applied in order to analyze the explicit solutions of the system.
- 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.
AtıfScopus3WoS2
İncele - 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 SJRQ4First Molecular Data for the Genus Kovalius (Opiliones: Sclerosomatidae: Leiobuninae) and their Phylogenetic Relationships; [Kovalius (Opiliones: Sclerosomatidae: Leiobuninae) Cinsinin İlk Moleküler Verileri ve Filogenetik İlişkileri]
Kurt, Pınar; Yildirim Doğan, Nalan
Kovalius (Opiliones: Sclerosomatidae: Leiobuninae) is a small genus of harvestmen described by Tchemeris, 2023. The first description of Kovalius logunovi was made from Russia and it was subsequently recorded from Türkiye on the basis of the morphological data. The use of morphological data alone for the identification of taxa and determination of their relationships may lead to limitations and difficulties in some cases. As a result, the use of molecular data in addition to the morphological data in the identification of new taxa and determination of phylogenetic relationships increases the reliability of studies. In this study, the mitochondrial 16S rRNA gene region of the Kovalius logunovi species was examined for the first time and a sequence of approximately 408 bp was obtained. Based on these data, the phylogenetic relationships of the species with similar species were revealed.
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İncele - 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 - MakaleAçık Erişim2025Scopus SJRQ1Advanced brain tumor analysis: a novel strategy for segmentation and classification using modern computational methods
Reis, Hatice Catal; Turk, Veysel
Despite their low incidence, brain tumors are one of the most invasive cancer types, constituting a significant burden of death and disease in all age groups. Early and accurate diagnosis of brain tumors plays a vital role in reducing mortality rates. The heterogeneous nature of brain tumors and the diversity of tumor lesions may make it difficult for radiologists to make the right decision in the manual diagnosis process. This study proposes the use of machine learning methods for the classification of brain tumors (pituitary, meningioma, and glioma) and the use of metaheuristic algorithms graph theory, and random walker algorithms in the segmentation of brain tumors. The classification performed with the proposed method obtained an overall accuracy rate of 98.33%. In addition, the classification accuracy of 99.50%, 99.50%, 98.67%, and 99.00% was achieved for no tumor, pituitary, meningioma, and glioma, respectively. Experiments in the segmentation process show that metaheuristic algorithms and max-flow graph cut approach produce successful results.
AtıfScopus6OpenAlex5İncele - Kitap BölümüYalnız künye2025Assessment of Türkiye's Healthcare Quality Standards Using the FUCOM Method: FUCOM Method
Bolayir, Banu
This study aims to determine the importance ranking of healthcare quality standards in Türkiye. The latest version of the Healthcare Quality Standards-Hospital (Version 6.1) was used as the healthcare quality standards in Türkiye. The FUCOM method, one of the multi-criteria decision-making (MCDM) methods, was employed to rank the importance of these standards. To use this method, a questionnaire based on the healthcare quality standards was filled out by six experts. The data obtained from the questionnaire were transferred to Microsoft Excel Solver, and the FUCOM method was used with this program. Using the FUCOM method, the local importance weights of the main criteria and sub-criteria were initially determined. Then, the criteria were ranked based on these weights. Subsequently, after determining the global importance weights of the sub-criteria considering the local importance weights of both the main criteria and sub-criteria, their rankings were also established based on these weights.
- Kitap BölümüYalnız künye2025Income Inequality and Environmental Protection Expenditures Nexus Bootstrap Panel Rolling Window Causality Analysis.
Sentürk, Nazlı Keyifli; Sentürk, Suat Hayri; Karakurt, Birol
The relationship between environmental protection expenditures and income inequality is undoubtedly a critical issue in terms of social justice and sustainable development. In societies with high income inequality, environmental protection expenditures are generally lower. This is because low-income individuals tend to have less motivation to develop awareness of environmental issues or to support environmental protection policies. On the other hand, in societies where income is more equitably distributed, environmental protection expenditures tend to increase. A key factor behind this is that a larger segment of society views environmental.
- 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.
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