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 SJRQ3SOME PHYSICOCHEMICAL, COLOR, COOKING, BIOACTIVE AND SENSORY PROPERTIES OF TURKISH NOODLES: ENRICHED WITH ARONIA POWDER (ARONIA MELANOCARPA)
Karademir, Emine; Yuksel, Ferhat; Baltaci, Cemalettin
Aronia (Aronia melanocarpa) is a fruit with a high polyphenol content, and its use is increasing due to its potential health effects with increased polyphenol content. The widespread consumption of Turkish noodles and similar products in society is important for increasing their nutritional quality. The aim of this study was to evaluate the physicochemical, color, bioactive, and sensory properties of noodle samples to which aronia powder was added at different concentrations of 2%, 4%, 6%, 8%, and 10%, respectively. Total Polyphenol Content (TPC), Total Antioxidant Capacity (TAC), and Total Flavonoid Content (TFC) amounts were found to be significantly increased (p<0.05). In addition, significant increases were found in the antioxidant activity (ABTS(center dot+), DPPH and FRAP) of the samples. According to the sensory evaluations, the noodles with 8% aronia had a high level of general acceptability, while the group with 10% aronia had a lower level. Consequently, we observed that adding aronia could yield an acceptable noodle enriched in bioactive components.
- MakaleAçık Erişim2025Scopus SJRQ4First Aid Self-efficacy in Mothers of Children Aged 0-4 Years: The Gümüşhane Example
Göger, Berrin; Kahriman, Ilknur; Çolak, Bahar
Introduction: The high relationship between the effective application of first aid after home accidents and survival determines the priorities in first aid. Childcare is mostly the responsibility of mothers, and their knowledge and practices regarding the management of home injuries are crucial in reducing morbidity and mortality associated with home accidents. This study aimed to examine the first aid self-efficacy of mothers with children aged 0-4 years to manage their children's home accidents. Methods: This cross-sectional study, focusing on the first aid self-efficacy of mothers with children aged 0-4 for home accidents, was conducted with 266 mothers at a district government hospital affiliated with the Ministry of Health in the Eastern Black Sea Region between January 1, 2023, and August 1, 2023. Data were collected through a demographic information form and the first aid self-efficacy scale for home accidents. Results: The mean score of the first aid self-efficacy scale in home accidents was found to be 2.15 +/- 0.95 and significant differences were found according to the mother's level of education, number of children, income status, caregiver of the child and mothers' first aid status. Conclusion: In conclusion, the findings of the study showed that first aid self-efficacy is not based solely on demographic factors, but instead may be shaped more by education, experience and the general approach of parents as parents, although mothers' knowledge of first aid was below average.
AtıfOpenAlex3TR Dizin2
İncele - MakaleYalnız künye2025The Impact of Nuclear Energy on Environmental, Economic, and Agricultural Dynamics: New Evidence for More Sustainability
Akar, Gokhan; Akyol, Hikmet; Saritas, Tufan
The extremes caused by climate change threaten the economic and agricultural future of nations. This research examined the impact of NE (nuclear energy) on CO2, GDP and Agro-Production Indices (API) for 24 developed and developing countries. The results of the research showed that the variables are cointegrated in the long run. The estimated results of FMOLS and AMG revealed that the use of NE reduces CO2 and increases environmental quality. In this context, our results show that NE contributes to environmental, economic and agricultural sustainability. We found that oil consumption negatively affects all API, and renewable energy (RE) consumption negatively affects agricultural and food production indices. Causality analyses showed that NE policies are compatible with environmental and RE policies. Therefore, the use of NE can play a crucial role in the transition to clean energy in research countries and in the adaptation of the agricultural sector to RE sources. In these countries, it is important to encourage policies that will reduce the dependence of the agricultural sector on fossil fuel consumption and reduce costs in the transition to clean energy sources in terms of food security and sustainable agriculture practices. The integration of nuclear energy into the agricultural sector can contribute to reducing input costs in the agricultural sector and reducing fluctuations and volatilities in food prices. In addition, the continuity of energy supply, technological innovation and infrastructure investments provided by nuclear energy can play a key role in the transition to clean energy and the achievement of the sustainable development goals of countries.
- MakaleYalnız künye2025Scopus SJRQ1How do green hotel practices affect guests' behavioral intentions? A PLS-SEM approach
Genç, Gokhan; Zengin, Burhanettin
This study examines how guests' perceptions of green hotel practices (GHP) shape their behavioral intentions, drawing on the Theory of Planned Behavior. It explores the extent to which eco-friendly practices influence guests' loyalty and their likelihood of recommending hotels that prioritize sustainability. Data were collected from 642 hotel guests aged 18 and over who had previous experience with green hotel practices. An online survey was employed, and the data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with bootstrapping techniques to assess the relationships among guests' perceptions of GHP, satisfaction, and behavioral outcomes. The findings indicate that favorable perceptions of GHP strongly predict guest loyalty and recommendation intentions, with satisfaction as a critical mediator. These results highlight the pivotal role of sustainable practices in fostering positive guest experiences and behaviors in the hospitality industry. The study offers practical insights for hotel managers, enabling them to design and implement effective sustainability strategies that enhance guest satisfaction and loyalty. Furthermore, it contributes to the literature on sustainable tourism by providing robust empirical evidence on the influence of GHP on guest behavior, thus addressing a key gap in hospitality management research.
AtıfWoS5İncele - MakaleAçık Erişim2025Measuring Türkiye's Fiscal Credibility and Transparency through Fiscal Balance and Debt Stock
Ibrahim, Al; Yildiz, Gizem Akbulut; Yildiz, Baris
Fiscal credibility and fiscal transparency affect many basic macroeconomic variables, especially economic growth, inflation and interest rates through expectations. Therefore, increasing credibility and transparency increase the effectiveness of fiscal policy by enabling better management of expectations. The aim of this study is to determine T & uuml;rkiye's fiscal credibility and transparency. For this purpose, T & uuml;rkiye's fiscal credibility and transparency were measured for the 2010-2023 period with the help of various indices, based on the International Monetary Fund's fiscal balance and debt stock expectations. According to the findings, it is possible to say that fiscal credibility decreased in T & uuml;rkiye, the absolute deviation between fiscal balance expectations and official targets increased, and fiscal transparency decreased, especially in the 2019-2022 period.
- MakaleAçık Erişim2025Scopus SJRQ2Optimizing Land Image Classification: A Deep Learning Approach with ResNet-101 on the EuroSAT Dataset
Celik, Fatih; Celik, Kemal
The classification of image is essential to make LULC (Land Use Land Cover) maps. However, the classification of land cover plays a vital role for studying and modernizing the land areas. Recently, deep learning (DL) techniques have achieved outstanding performance in the classification of high-resolution images. Different techniques have been employed in traditional methods to identify LULC due to its complex and ever-changing nature. However, these studies have shown improved outcomes despite some restrictions such as inaccuracies and reduced performance. To address these problems, the proposed study introduces a Squeeze Synchronization Layer (SSL) and a Convolve Craft Focus Module (CCFM) where, SSL reduces input data complexity by removing noise and irrelevant information from images using pooling and convolutional operations also, CCFM enhances feature extraction to improve land classification accuracy. The EUROSAT land image dataset is utilized for the evaluation of the introduced model. Whereas, the dataset comprises of 64x64 images, which are captured by satellite Sentinel-2A in ResNet 101 input layer. Although, a SSL is suggested, and a CCFM is implemented in the convolutional layer for classifying land images. However, the efficiency of the system is evaluated by measuring performance metrics such as recall, F1score, precision, and accuracy values of the proposed system. The accuracy value of the proposed system is 96% of accuracy, 100% of precision, 100% of recall, and 100% of F1-score, signifies the superior efficiency of the proposed model.
AtıfWoS4OpenAlex3İncele - MakaleAçık Erişim2025As if I don't belong here. First-Year Experiences of International Nursing Students at University - A Qualitative Study
Tuncer, Gulsum Zekiye; Tuncer, Metin
Background: The rapid adaptation of international nursing students to university life enables them to actively continue their education without disruption in the following years. Identifying the challenges faced by these students, who are future nursing professionals, is essential fortheir adaptation and professional development. Aim: This study aimed to explore the perspectives of international nursing students regarding their first-year experiences at university. Methods: This study employed a descriptive qualitative research design. The Consolidated Criteria for Reporting Qualitative Research (COREQ) was used for reporting. The sample consisted of 13 international nursing students enrolled in the Faculty of Nursing at a university. Data were collected through face-to-face, individual, in-depth interviews using semi-structured interview questions. Content analysis was used to analyze the data. Results: The mean age of the nursing students was 23.3 years. Among the participants, seven were women, 11 had been residing in Turkiye for approximately one year, 12 were from Iran, and one was from Iraq. Three key themes emerged in this study: Facilitators of Adaptation, Challenges, and Coping. The students identified several facilitators of adaptation, including similarities between the Turkish economy and culture and their home countries' economies and cultures, proficiency in the Turkish language, studying at a nursing school aligned with their career goals, and receiving social support from their relatives. However, they also faced challenges such as language barriers, cultural differences, discrimination, social isolation, homesickness, and academic and clinical difficulties. Conclusion: International nursing students may encounter language barriers, cultural differences, and education-specific challenges during their first year of nursing school. In this context, developing support mechanisms to guide these students in their academic and social lives will facilitate their ability to cope with these difficulties.
AtıfWoS3OpenAlex3İncele - MakaleYalnız künye2025Scopus SJRQ1Performance assessment of solar-powered electric vehicles: Importance of maximum power point tracking, range enhancement and charging frequency analysis under various operating and irradiance conditions
Başoğlu, Mustafa Engin
Decarbonizing the transportation sector is becoming a crucial focus in the 21st century. As the popularity of internal combustion engine vehicles declines, the adoption of hybrid and electric vehicles (EVs) is significantly increasing. One of the main challenges for battery-powered vehicles, aside from safety concerns, is the limited driving range and frequent charging requirements. Integrating a photovoltaic (PV) module onto a vehicle's surface enables continuous battery charging during both motion and stationary periods, thereby extending the vehicle's range on a full charge. This study presents two main contributions: a modified 0.8VOC-based maximum power point tracking (MPPT) method for fast-changing irradiance conditions for flat-roof vehicle-integrated PV (VIPV) systems, and a long-term simulation analysis of classical MPPT methods using two new indicators for range extension and vehicle charging frequency variations under different irradiance profiles. The proposed MPPT method yielded superior energy performance, achieving 16–25 % higher energy generation compared to both the incremental conductance (IC) algorithm and the variable step-sized (VSS) perturb and observe (P&O) method. Long-term simulations conducted for three EV models demonstrated a daily driving range extension of 2–7 km with an 185W PV module, along with up to a 19 % reduction in charging frequency, depending on the battery capacity and vehicle models.
AtıfScopus4WoS4OpenAlex4
İncele - MakaleAçık Erişim2025Scopus SJRQ1The effect of Augmented Reality (AR) supported geometric shape learning on children’s visual perceptual development in early childhood education
Özel, Özge; Hançer, Buse; Sop, Aylin
This study examined the impact of an Augmented Reality (AR)-based virtual application on preschool children's visual perception development in geometric shape learning. A quasi-experimental research design was employed. The study sample consisted of 26 preschool children, aged 5–6, from a public school in Türkiye. The children in the experimental group engaged with AR-supported materials, allowing them to explore geometric shapes interactively and listen to their properties in a virtual environment. Each child participated individually in the learning application for 50–60 minutes. The Frostig Visual Perception Test was administered as both a pre-test and post-test. Results indicated that the AR-based learning application had a statistically significant positive effect on preschool children's visual perception development.
AtıfScopus2WoS4OpenAlex4İncele - MakaleAçık Erişim2025Scopus SJRQ2Investigation of the Effects of Filling Speed, Casting Temperature and Metallurgical Quality on Fluidity of Lamellar Graphite Cast Iron at Different Section Thicknesses
Köse, Sami; Çolak, Murat; Şüküroğlu, Ebru Emine
In this study, the fluidity properties of the alloy were investigated at different casting temperatures, different section thicknesses, and varying casting parameters of lamellar graphite cast iron materials. To achieve our goal, we utilized sand molds that were created with specific parameters including pouring temperature, metallurgical quality, section thickness, and fluidity test model. These molds were used for casting. Thus, the effect of fluidity properties in changing casting conditions and liquid metal advance distances at determined section thicknesses was investigated. Modeling was carried out with FlowCast casting simulation software by determining the liquid metal advance distance depending on the section thickness in the castings made in sand molds under changing casting conditions. The fluidity and advance distance of the liquid metal was determined comparatively with experimental and modeling techniques under the changing casting conditions in the parameters determined in this study. When the outcomes were examined; it was observed that different liquid metal advance distances occur at different cross-section thicknesses depending on the changing conditions.
AtıfScopus8WoS8OpenAlex7İncele - MakaleAçık Erişim2025Scopus SJRQ1Zircon U-Pb geochronology and Sr-Nd-Pb-Hf-O isotope signatures of Middle Eocene high-K plutons from the Eastern Pontides Orogenic Belt, NE Turkey: implications for parental magma sources and magmatic processes
Kaygusuz, Abdullah; Güloğlu, Zikrullah Samet; Aydınçakır, Emre; Yücel, Cem; Vural, Alaaddin; Saydam Eker, Çiğdem; Cicerali, Derya
The Eastern Pontides Orogenic Belt (EPOB) in northeastern Turkey is a well-preserved continental magmatic arc in the Alpine-Himalayan Orogenic Belt and contains many Eocene I-type high-K plutons. Employing LA-ICP-MS U-Pb zircon geochronology, the crystallization ages of the investigated Yaylalıköy and Taşbaşı plutons were established to be Lutetian (Middle Eocene), ranging from 47 Ma to 46 Ma. These plutons exhibit a compositional spectrum ranging from diorite to granodiorite, characterized by I-type, metaluminous, and high-K geochemical signatures. Notably, they are enriched in large-ion lithophile elements (LILEs) and light rare earth elements (LREEs), displaying pronounced negative Eu anomalies (EuN/Eu* = 0.58–0.96). Isotopic signatures reveal homogeneous and moderately low initial 87 Sr/86 Sr(i) ratios (0.704643–0.705034) and positive εNd(i) values (0.24 to 1.67) for the investigated plutons. These isotopic signatures are consistent with mantle origin, as evidenced by their position within the mantle array on isotope ratio diagrams. Lead isotope compositions exhibit limited variations, with initial ratios of 206 Pb/204 Pb(i) (18.55–18.64), 207 Pb/204 Pb(i) (15.61–15.64), and 208 Pb/204 Pb(i) (38.46–38.75). Zircon εHf(i) values are positive (2.32–6.20), plotting between the depleted mantle and chondritic evolution lines. Additionally, these rocks display low zircon δ18 O values (+4.54 to + 6.53‰), comparable to mantle composition. The petrographic characteristics of the investigated plutons suggest that fractional crystallization with minimal assimilation and/or magma mixing played a dominant role during their solidification. The integration of geochemical and isotopic data, alongside regional geological constraints, advocates for enriched lithospheric mantle as the source for the parental magmas of the studied plutons. These magmas subsequently underwent differentiation within a deep-seated magma chamber, followed by emplacement into the crust.
AtıfScopus5WoS6OpenAlex6İncele - MakaleAçık Erişim2025Scopus SJRQ1Paleolatitudinal movements of the eastern Sakarya Zone from Jurassic to Eocene
Kayın, Sercan; Hisarlı, Z. Mümtaz; İşseven, Turgay; Dokuz, Abdurrahman; Algur, Bahadırhan Sefa
The study area covers a region oriented north-south from the Black Sea coastline in the north to the Kelkit Basin in the south within the eastern Sakarya Zone in northern Türkiye. The objective of this study is to investigate the paleolatitudinal movements of the eastern Sakarya Zone during the Jurassic-Eocene time interval through paleomagnetism. Various volcanic and sedimentary units (e.g., the Şenköy, Berdiga, Mescitli, Çatak, Kızılkaya, and Çağlayan Formations) spanning the time interval from the Early Jurassic to Middle Eocene were identified. A total of 98 locations belonging to Early/Middle Jurassic to Eocene volcanic and sedimentary units were selected for paleomagnetic core sample collection. The samples were subjected to demagnetization through thermal and alternating field methods. Characteristic remanent magnetization directions (ChRM) were obtained. Isothermal remanent magnetization (IRM) and high temperature susceptibility (HTS) measurements were made to identify the minerals responsible for magnetization. To ascertain whether magnetization was acquired through rock formation or as a consequence of subsequent tectonic processes, conglomerate and fold tests were performed. The results showed that magnetization was acquired before folding, i.e., the rocks have primary magnetization. Polarity tests were also conducted using coeval normal and reverse polarity sites. The results indicate that the mean magnetization direction for the Early-Middle Jurassic is 18.1°/55.2° (D/I) and 3.3°/51.5° (D/I) for sedimentary and volcanic rocks, respectively, and 348.7°/46.7° (D/I) for Late Jurassic/Early Cretaceous sedimentary rocks. In the Late Cretaceous period, the mean magnetization direction is 8.0°/49.3° (D/I) and 9.1°/47.0° (D/I) for sedimentary and volcanic rocks, respectively. In the case of the Early/Middle Eocene, the mean magnetization direction is 348.6°/52.7° (D/I) and 5.9°/48.8° (D/I) for sedimentary and volcanic rocks, respectively. In this study, the E/I correction was applied to the Late Jurassic/Early Cretaceous sedimentary rocks, and paleolatitude data obtained from sedimentary rocks were also utilized. Our paleomagnetic results indicate that the eastern Sakarya Zone was situated at latitudes spanning from 27.9° to 35.7° during the Early Jurassic - Middle Eocene time interval. In consequence, the eastern Sakarya Zone constituted a portion of the southern margin of the Eurasian continent during the Late Jurassic and Middle Eocene periods.
- MakaleAçık Erişim2025Scopus SJRQ1The impact of photovoltaic panels on the environment and yield parameters in an open field agrivoltaic system: A case study in Ayaş, Ankara
Senturk, Bilge; Oylek, Yelda; Kanar, Zeynep Sevim; Celik, Ridvan; Kurtulus, Gunes; Ozden, Talat
Agrivoltaic systems represent an innovative approach that integrates energy production and agriculture by installing elevated photovoltaic modules over farmland. In this study, the critical parameters on microclimate and microenvironment conditions — soil moisture and temperature, relative humidity, ambient temperature, photosynthetically active radiation, wind speed — and crop yield amount were monitored and analyzed in a single axis tracking AgriPV system installed in Ankara, Türkiye. Results indicate that under the 35 % coverage AgriPV system, photosynthetically active radiation decreased by 38.55 %. Additionally, soil moisture was found to be higher at 20 cm below under the AgriPV system compared to the reference field during the plant growth period. The yield data showed a considerable difference in crop amount under the AgriPV system across different harvest periods. The results are critically important for developing models in future phases that aim to predict and optimize the agricultural and ecosystem performance of AgriPV systems.
AtıfScopus16WoS14OpenAlex12İncele - MakaleYayıncıda açık erişim2025Scopus SJRQ1Attitude synchronization of chaotic satellites with unknown dynamics using a neural network based fixed time sliding mode controller
Bingöl, Özhan
This study investigates the synchronization and anti-synchronization of both identical and non-identical chaotic satellite systems. A fixed-time sliding mode control framework, based on a radial basis function (RBF) neural network, has been developed to synchronize the chaotic dynamics of master–slave satellite configurations. The proposed control scheme operates under the assumption that the dynamics of the satellites are not entirely known. The proposed control method guarantees that system errors will converge to negligible levels within a fixed time. Furthermore, the controller exhibits robustness in the presence of parametric uncertainties and external disturbances. The stability of the controlled systems is rigorously validated through Lyapunov analysis, and the controller's effectiveness is confirmed through extensive simulation studies. These simulations are conducted on both identical and non-identical satellite models, with performance comparisons made against recent findings reported in the literature.
AtıfScopus9WoS9OpenAlex9İncele - MakaleAçık Erişim2025Scopus SJRQ3A new class of robust ratio estimators for finite population variance
Zaman, Tolga; Bulut, Hasan
It is a general practice to use robust estimates to improve ratio estimators using functions of the parameters of an auxiliary variable. In this study, a new class of robust estimators based upon the Minimum Covariance Determinant (MCD) and the Minimum Volume Ellipsoid (MVE) robust covariance estimates have been suggested for estimating population variance in the presence of outlier values in the data set for the simple random sampling. The expression for the Mean Square Error (MSE) of the proposed class of estimators is derived from the first degree of approximation. The efficiency of the proposed class of robust estimators is compared with some competing estimators discussed in the literature, and found that proposed estimators are better than other mentioned estimators here. In addition, real data set and simulation studies are performed to present the efficiencies of the estimators. We demonstrate theoretically and numerically that the proposed class of estimators performs better than all other competitor estimators under all situations.
AtıfScopus8WoS14OpenAlex12İncele - MakaleYayıncıda açık erişim2025Scopus SJRQ2A structured educational model to improve the education of nurses: Case-based learning
Aydın, Aydanur
Background: Case-based training is a crucial component of nursing education, providing students with opportunities to enhance clinical reasoning, critical thinking, and professional behavior. However, few studies integrate these constructs into measurable educational outcomes. Methods: This study aims to look at the influence of online care training, which is based on case studies in surgical illnesses nursing, on students' care behaviors and self-efficacy levels. Participants were randomly assigned to undergo case-based education or traditional instruction. One hundred and four undergraduate nursing students from one university were chosen to participate. The structure is logical, with causal relationships between claims and a clear order of information. The researcher used an online platform to collect data from students in both groups before and three months after training. The introduction features form comprised the caring behavior scale (CBS) and questions to assess nursing students' self-efficacy. Results: Before the training, there was no discernible difference in the levels of care exhibited by the participants or in their self-efficacy. Nevertheless, a notable alteration was observed in the CBS scores of the intervention group students following the training period. Their CBS and self-efficacy scores surpassed those of the control group. The results of the regression analysis indicated that age, gender, place of residence, and caring assessment scores did not exert a significant influence on the total score of the Caring Behavior Scale. Conclusion: The findings of the research indicated that structured case-based nursing education was an effective method for fostering the development of caring behaviors among students.
AtıfScopus2WoS1OpenAlex2İncele - MakaleYayıncıda açık erişim2025Scopus SJRQ2Convergence on Kirk Iteration of Cesàro Means for Asymptotically Nonexpansive Mappings
Cona, Lale; Şimşek, Deniz
This article addresses the convergence of iteration sequences in Cesàro means for asymptotically nonexpansive mappings. Specifically, this study explores the behavior of Kirk iteration in the Cesàro means in the context of uniformly convex and reflexive Banach spaces equipped with uniformly Gâteaux differentiable norms. The focus is to determine the conditions under which the Kirk iteration sequence converges strongly or weakly to a fixed point. Finally, some examples are given in this article to demonstrate the advantages of the preferred iteration method and to verify the results obtained.
AtıfScopus1WoS1OpenAlex1İncele - MakaleYalnız künye2025Scopus SJRQ1A deep neural network combined with a two-stage ensemble model for detecting cracks in concrete structures
Reis, Hatice Catal; Turk, Veysel; Kaya Yildiz, Cagla Melisa; Bozkurt, Muhammet Furkan; Karagoz, Seray Nur; Ustuner, Mustafa
Detection of cracks in concrete structures is critical for their safety and the sustainability of maintenance processes. Traditional inspection techniques are costly, time-consuming, and inefficient regarding human resources. Deep learning architectures have become more widespread in recent years by accelerating these processes and increasing their efficiency. Deep learning models (DLMs) stand out as an effective solution in crack detection due to their features such as end-to-end learning capability, model adaptation, and automatic learning processes. However, providing an optimal balance between model performance and computational efficiency of DLMs is a vital research topic. In this article, three different methods are proposed for detecting cracks in concrete structures. In the first method, a Separable Convolutional with Attention and Multi-layer Enhanced Fusion Network (SCAMEFNet) deep neural network, which has a deep architecture and can provide a balance between the depth of DLMs and model parameters, has been developed. This model was designed using a convolutional neural network, multi-head attention, and various fusion techniques. The second method proposes a modified vision transformer (ViT) model. A two-stage ensemble learning model, deep feature-based two-stage ensemble model (DFTSEM), is proposed in the third method. In this method, deep features and machine learning methods are used. The proposed approaches are evaluated using the Concrete Cracks Image Data set, which the authors collected and contains concrete cracks on building surfaces. The results show that the SCAMEFNet model achieved an accuracy rate of 98.83%, the ViT model 97.33%, and the DFTSEM model 99.00%. These findings show that the proposed techniques successfully detect surface cracks and deformations and can provide practical solutions to real-world problems. In addition, the developed methods can contribute as a tool for BIM platforms in smart cities for building health.
AtıfScopus2WoS2OpenAlex1İncele - MakaleYalnız künye2025Scopus SJRQ3Interpretable machine learning for rapid prediction and calibration of HPGe detector efficiency: a physics-informed approach and online platform
Yesilkanat, Cafer Mert; Celik, Necati; Celik, Ahmet; Cevik, Ugur
This study introduces a novel, physics-informed, and calibration-friendly hybrid machine learning framework for the rapid and accurate prediction of the Full Energy Peak (FEP) efficiency in High-Purity Germanium (HPGe) detectors. To overcome the limitations of conventional “black-box” models, our two-stage approach first represents the FEP efficiency curve using a physically interpretable logarithmic polynomial. Subsequently, machine learning models were trained to predict the polynomial coefficients directly from the detector geometric parameters using a comprehensive dataset generated via Monte Carlo simulations. Among the various algorithms tested, the Generalized Linear Model yielded superior performance, achieving R2 values of 0.975–0.992 for the coefficients. While raw model predictions showed expected variability, a key feature of our framework (a single-point calibration protocol using one known efficiency value) dramatically improved accuracy, reducing the mean absolute percentage error by an average of 80% on the independent test data. The calibrated model was further validated using an experimental detector. The entire framework was deployed as a user-friendly online platform, enabling researchers to instantly generate and calibrate efficiency curves. Our work successfully harmonizes interpretability, speed, and accuracy, offering a powerful tool for the design, optimization, and routine calibration of HPGe detectors.
AtıfScopus4WoS3OpenAlex3İncele - MakaleAçık Erişim2025Scopus SJRQ1A strategy for the one-pot direct production of 5-hydroxymethylfurfural (HMF) from sucrose using organic weak acid in situ as a catalyst
Gül, Abdulkadir; Tanyıldızı, Muhammet Şaban
5-Hydroxymethylfurfural (HMF), which can be produced in high yields by acid-catalyzed dehydration of carbohydrates, is used as a feedstock in biofuel and biopolymer production. However, these acidic catalysts are usually added externally, which increases HMF production costs. Furthermore, other important parameters for high yields of HMF production are raw material selection, reaction medium, and separation-purification processes. The aim of this study is to produce HMF in one-pot without the addition of any exogenous catalyst by evaluating the fructose remaining in the production medium in which the glucose from sucrose hydrolysis is microbially fermented into gluconic acid (GA). HMF production from fructose in a biphasic system consisting of a fermentation liquid containing GA and fructose and 2-Methyltetrahydrofuran (2-MeTHF) was optimized using Central Composite Design (CCD). The variables examined included reaction time, reaction temperature, solvent type, salt type, and organic/aqueous phase ratio. In the study, by chelating GA and calcium ions, the low degree of ionization of GA was increased, and HMF was produced in high yields without the addition of a catalyst. Under optimum conditions, using 2-MeTHF/ fermentation liquid (6:1) and 7.56 wt% CaCl2, the yield of HMF produced in pressurized (hydrothermal) vessels at about 147 °C for 158 min reached 77.6 % of the theoretical yield. The amount of GA in the production medium was 92.64 % preserved from degradation. GA and HMF in different phases of the biphasic system were purified from the production medium in high yields. Furthermore, 2-MeTHF, which constitutes the organic phase of the biphasic system, was recovered at approximately 95 % by vacuum evaporation. As a result, HMF production from sucrose, which is a more economical and abundant raw material compared to glucose and fructose, was realized in one-pot without the addition of any catalyst.
AtıfScopus6WoS5OpenAlex7İncele