Yayınlar
Koleksiyondaki öğeler
- MakaleYalnız künye2026Scopus SJRQ2The Effect of Sugar Beet (Beta vulgaris L.) Varieties Grown Under Semi-Arid Conditions in Turkey’s Eastern Anatolia Region on Yield and Quality
Bagcı, Ikram; Gul, Volkan; Sefaoglu, Firat; Lan, Yuzhou; Coban, Furkan
Global climate change, which is increasingly evident today, leads to significant fluctuations in the yield and quality parameters of sugar beet varieties, particularly due to its direct impact on semi-arid regions. Therefore, the adaptation capacity of varieties especially in the semi-arid areas of eastern regions and their responses to drought and temperature stress are of critical importance. This study was conducted during the 2022–2023 growing seasons to evaluate the yield and quality performance of ten sugar beet varieties (Seranada, Lider, Mohican, Terronova, Aranka, Turbata, Bernache, Setenil, Tisserin, and Chevalier) within a continental agro-ecological zone characterized by high altitude and a semi-arid climate. The results revealed significant differences among the varieties in terms of all examined traits. The highest root yield was obtained from Chevalier (95.30 ton/ha) and Mohican (94.17 ton/ha), while Tisserin produced the lowest (71.34 ton/ha). In terms of sugar yield, Terronova ranked highest (16.18 ton/ha), whereas Tisserin (12.44 ton/ha) and Setenil (12.34 ton/ha) showed the lowest performances. The Lider variety recorded the highest sugar content (18.22%), indicating its potential as a quality-oriented genotype. Overall, Mohican and Terronova demonstrated the most favorable responses under semi-arid conditions. These findings underscore the importance of regional variety testing for identifying high-yielding and high-quality sugar beet genotypes, especially in environments affected by altitude, climate variability, and soil characteristics.
AtıfScopus1WoS1
İncele - MakaleAçık Erişim2026Scopus SJRQ1The 20-Year Evolution of Distance Education: A Bibliometric and LDA-Based Topic Model Analysis
Yavuz, Mehmet; Balat, Şener; Kayalı, Bünyami; Gülen, Emirhan
Although research on distance education has increased substantially in recent years, comprehensive analyses capturing the overall thematic development of the field remain limited. Modeling studies are necessary to address this gap and to uncover long-term research trends. This study aimed to reveal the trends of research conducted in the field of distance education in the last two decades by using machine learning methodology and bibliometric analysis. The unique aspect of the study was its use of the Latent Dirichlet Allocation (LDA) algorithm, a machine learning method for analysing large-scale data. Within the scope of the study, 54,444 articles in the Web of Science database were analysed. Bibliometric analysis revealed that distance education had gained significant momentum, especially in the post-pandemic period, with a wide range of applications in different disciplines such as education, management, and health. As a result of LDA analysis, 19 thematic topics were identified. Among these, digitalization, artificial intelligence, Web-based learning, and social interaction and collaboration stood out. Time series analysis showed an increasing trend for topics such as artificial intelligence and emergency distance education over the years, with less interest shown in topics such as Web-based learning and program design. The study emphasized that distance education is in a technology-driven transformation process and pointed to areas that will offer new opportunities for researchers. Furthermore, recommendations for decision-makers, such as investments in digital infrastructure, integration of artificial intelligence-based systems, and the establishment of quality standards, also emerged.
- MakaleAçık Erişim2026Scopus SJRQ2Relationship Between Aluminum Liquid Metal Quality and Defects
Kutsal, Umit; Colak, Murat; Ertugrul, Onur
Aluminum alloys are commonly used in various industries today. In order to produce defect-free high-quality alloys with sustainable processes, defects must be reduced, and liquid metal quality must be improved. There are various methods that can be used for the measurement of liquid metal quality. Some of which are density index, bifilm index, K-Mold index, PoDFA, Prefil, fluidity test, and thermal analysis. The relationship and validation between these methods are still not clear. In this study, the relationship between aluminum liquid metal quality and defects is analyzed. Three different conditions were utilized. These conditions are (1) before a controlled degassing, (2) after the controlled degassing and (3) after the liquid metal is transferred to the holding furnace. According to the results, it was observed that the reduction of bifilms index did not reduce other inclusions and did not always favorably affect other measurement methods. It was also observed that the reduction of bifilm index did not improve the porosity level. Moreover, it was found that elongation values are related to the largest defect diameters. Bifilm index are not the only factor affecting the elongation and the density index directly affects the defect distribution. K-Mold index has an impact as it shows macro-inclusions. However, bifilm index, density index, fluidity index and K-Mold index are not as sufficient as numerical calculation of defect size by computed tomography (CT). The main factor directly affecting the elongation and tensile strength was found to be the inclusion size and diameter in the CT result. Examination of the fracture surfaces revealed that oxide contents are present, and the oxygen orientations and aluminum orientations are compatible. This harmony is thought to be related to the orientation of the bifilms in the structure.
AtıfScopus8WoS8İncele - MakaleYalnız künye2026Scopus SJRQ2Seismic performance of prestressed girder bridges considering soil-pile-structure interaction and isolation systems
Öner, Erdal; Aydoğan, Ayşe N.; Yurdakul, Muhammet; Ergün, Mustafa; Artar, Musa
This article presents a comprehensive numerical study to determine the seismic performance of the Kirazlıyalı Çenesuyu Bridge, currently in service in Kocaeli, Türkiye, under both seismically isolated and non-isolated conditions, considering different soil types. The study holds great importance due to Kocaeli’s status as one of Türkiye’s most developed industrial regions, its location in a high-seismic-risk area, and its complex geological structure. The Kirazlıyalı Çenesuyu Bridge is a structure consisting of simply supported prestressed girders, commonly used in highway transportation networks. Designed as a twin bridge, the structure is 134 meters in length and 20 meters in width. Currently, the bridge is not equipped with seismic isolators; instead, its superstructure rests on elastomeric bearings over abutments and piers. Within the scope of this study, the bridge was retrofitted with Single Curved Friction Pendulum (SCFP) seismic isolators. These SCFP isolators were specifically designed in accordance with the Turkey Building Earthquake Code (TBEC-2019) standards for two distinct soil classes: ZA (hard rock) and ZC (very dense sand and gravel). The soil-pile interaction was simulated using single-parameter Winkler spring models in both horizontal and vertical directions. The Finite Element Model (FEM) of the bridge was developed in SAP2000 software, and analyses were conducted on this platform. The seismic performance of the bridge was assessed through nonlinear dynamic time history analyses using real earthquake ground motion records from the Imperial Valley, Kocaeli, and Kahramanmaraş (Pazarcık) earthquakes under various scenarios. The seismic responses of the bridge were examined in terms of base shear forces, lateral displacements of the pile, shear forces at the pier, bending moments at the pier, deck accelerations, and the hysteresis curves of the isolator. The study results demonstrate significant improvements in the seismic behavior of the bridge when equipped with the seismic isolation system. Furthermore, these improvements are shown to be directly influenced by the interaction of the structure-pile-soil system, as well as the compatibility between the frequency characteristics of this system and the frequency content of the imposed earthquake. The numerical data supporting these results are presented in the relevant sections through tables and graphs.
AtıfScopus2WoS2İncele - MakaleYalnız künye2026Scopus SJRQ2Optimizing microwave drying parameters for rhododendron bee pollen: effects on antioxidant potential, polyphenols, and proteins
Kutlu, Naciye; Gercek, Yusuf Can; Ecem Bayram, Nesrin
Monofloral Rhododendron spp. bee pollen is a remarkable bee product due to its functional components as well as its potential pharmacological effects. In this study, Rhododendron spp. bee pollen was dried by the microwave method as an alternative to the conventional drying method. Different combinations of microwave powers (140, 210 and 280 W) and sample weights (10, 20 and 30 g) applied during microwave drying (MWD) were determined by Central Composite Design. Drying time, total protein, total carotenoid, total phenolic-flavonoid compounds, and proanthocyanidin yields of dried pollen were determined and antioxidant activity tests (CUPRAC and DPPH•) were performed. The analysis results were optimized by response surface methodology (RSM) and the optimum drying conditions were obtained when the microwave power was 280 W and the sample weight was 30 g. The optimal conditions have been established to reduce drying time and enhance the content of bioactive compounds. As a result of optimization, the composite desirability (d) was found to be 0.8. Experimental and predicted values were close to each other. In conclusion, MWD has demonstrated efficacy as a drying technique by significantly reducing drying time while maintaining and enhancing the yields of bioactive compounds in monofloral Rhododendron spp. bee pollen. In comparison to conventional techniques, the application of MWD in the drying process of monofloral Rhododendron spp. bee pollen is demonstrably more efficient and sustainable.
- MakaleAçık Erişim2026Scopus SJRQ2Experimental Electromagnetic Shielding Analysis of a Square-Resonator-Integrated Double-Concrete Structure Using Explainable Machine Learning
Cakir, Mehmet
Electromagnetic shielding has become a practical concern in buildings and structures exposed to persistent interference. This paper reports experimental measurements of the frequency-dependent shielding properties of a square-resonator-integrated double-concrete structure, using a free-space S-parameter setup built around WR229 waveguide adaptors and horn antennas. Three variables were tested: concrete thickness D, relative permittivity εr, and relative magnetic permeability μr. Both εr and μr were characterized experimentally from carbon-fibre- and copper-slag-modified concrete rather than taken from standard tables. The novelty of the study lies in combining experimentally characterized concrete electromagnetic properties, an embedded square-resonator geometry, and explainability-driven machine learning analysis within a single experimental framework for cement-based EMI shielding design. A total of 96 parameter combinations were evaluated using calibrated S11 and reference-corrected S21 responses across 3.3–4.9 GHz. Thickness and electromagnetic material properties interacted—neither governed shielding performance on its own. The strongest transmission attenuation occurred at D = 5, εr = 7, and μr = 1.2, where minimum S21 reached approximately −62.98 dB at 3.6392 GHz. S11 varied considerably less than S21 across the tested combinations, suggesting transmission suppression is the dominant mechanism rather than reflection enhancement. A machine learning analysis confirmed that nonlinear ensemble models outperformed the linear baseline and identified thickness as the most influential predictor of minimum S21.
- MakaleAçık Erişim2026Scopus SJRQ3Spiritual Monachopsis: Conceptualization, Scale Development, and Psychometric Analysis
Okur, Süheyb
In the modern era, individuals have increasingly experienced alienation from their religious environments and have been marked by a profound sense of “homelessness” within their worlds of faith. Based on the concept of “Monachopsis” —the subtle but persistent feeling of being out of place— this study was designed to develop the “Spiritual Monachopsis Scale” (SMS) to measure the spiritual manifestation of this phenomenon and to examine its psychometric properties in a sample of theology students. The scale development study was conducted with a total of 453 undergraduate theology students studying at Bayburt University in the 2025-2026 academic year, including 163 participants in the exploratory validation phase and 290 participants in the confirmatory validation phase. Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), Cronbach's Alpha coefficient, and Pearson correlation analysis were used for data analysis. The EFA indicated that the scale had a three-factor structure —Disconnection from the Divine, Alienation from the Belief System, Religious Social Alienation— which explained 57.66% of the total variance. The CFA results confirmed that the 18-item structure demonstrated a good fit to the data. The internal consistency of the scale was found to be high. In terms of criterion-related validity, a positive and significant correlation was found between the SMS and the Negative Religious Coping scale. The findings indicate that the Spiritual Monachopsis Scale is a valid and reliable instrument for assessing levels of spiritual homelessness and alienation, particularly among theology students. It is recommended that the SMS be used in future studies within higher religious education settings and campus-based spiritual counseling contexts to identify patterns of alienation in this population and to inform supportive psychoeducational programs.
- MakaleAçık Erişim2026Scopus SJRQ1FoMO and cyberstalking in adults: the mediating roles of early maladaptive schemas and phubbing
Koçak, Lokman
Introduction – It is noticeable that cyberstalking behavior, which has become widespread in recent years and has many negative effects, has been investigated to a limited extent. This study aimed to analyse the mediating role of early maladaptive schemas of abandonment and insufficient self-control and phubbing in the relationship between FoMO and cyberstalking among adult individuals. Methods – The study group comprised 540 adults aged 18–48 (71.1% female and 28.9% male). We adopted Pearson correlation analysis and PROCESS Macro Model 80 in regression analysis to explore the relationships among cyberstalking, FoMO, early maladaptive schemas and phubbing. Results – The results showed that there were significant relationships between the study variables. Also, results show that early maladaptive schemas of abandonment and insufficient self-control and phubbing mediate the relationship between FoMO and cyberstalking. Discussion – These findings suggest that the abandonment schema may be associated with FoMO-related cyberstalking through a theoretically informed pathway that may reflect attachment-related vulnerabilities, whereas the insufficient self-control schema may reflect a possible self-regulation-related dimension that may be associated with FoMO-related digital behaviors of this process. The inclusion of phubbing in the model further indicates that FoMO-related attentional and relational dysregulation may be linked to monitoring-oriented online behaviors. In this regard, these findings may provide a theoretical perspective for future studies examining attachment-related schema sensitivities, self-regulation processes, and mindful technology use in relation to FoMO-related digital behaviors.
- MakaleAçık Erişim2026Scopus SJRQ2Synthesis and pharmacokinetic profiling of a novel pyrimidine imidazole based thiosemicarbazone derivative for BRAF inhibition in lung cancer therapy
Ekincioğlu, Yavuz; Kızıl, Hamit Emre; Güllü, Eda; Özkan, Elvan Hasanoğlu; Nartop, Dilek
This study presents the design, synthesis, and comprehensive evaluation of a novel thiosemicarbazone derivative containing a pyrimidine-imidazole (C11H11N8SCl) as a potential BRAF inhibitor for the treatment of non-small cell lung cancer. The compound was synthesized by a condensation reaction and characterized by elemental analysis, molar conductivity, SEM-EDS, FT-IR, 1H, and 13C-NMR spectral techniques. DFT calculations at the B3LYP/6-311 + + G(d, p) level revealed a HOMO-LUMO gap of 2.8 eV, indicating appropriate molecular stability and reactivity. Molecular docking studies with BRAF (PDB ID: 1UWH) demonstrated favorable binding affinity (-6.85 kcal/mol) with key interactions at ILE512, HIS509, HIS584, GLN529, GLU585, LYS590, VAL510, and LEU587 residues. In vitro cytotoxicity assays revealed that the compound possesses anticancer potential against H-460 cells, with a significant inhibitory effect observed at a concentration of 200 µg/mL. Combined with its favorable binding affinity toward BRAF kinase, these results suggest that the pyrimidine-imidazole thiosemicarbazone may serve as a potential lead scaffold for further development in targeted lung cancer therapy.ADME profiling confirmed the compound’s compliance with Lipinski’s rule of five parameters, supporting its potential as an orally active drug candidate. These findings suggest that our pyrimidine-imidazole thiosemicarbazone represents a promising scaffold for the development of targeted BRAF inhibitors for lung cancer therapy.
- BildiriAçık Erişim2026Autism Awareness Levels of University Students and Their Relationship with Various Variables
Ari Arat, Ceren
This cross-sectional quantitative study examined university students’ awareness of autism spectrum disorder (ASD). The sample consisted of 354 students from different academic departments at a public university in Türkiye. Data were collected using the Autism Awareness Scale and a Demographic Information Form and analyzed through descriptive statistics, Pearson correlation, and independent-samples t-tests. Findings indicated relatively high awareness in social interaction, communication, and restricted and repetitive behaviors, whereas knowledge was lower regarding physical characteristics and early warning signs. Core behavioral knowledge was positively associated with peer relationships and early diagnosis indicators. Gender differences were minimal, except for higher early warning scores among females. Prior interaction with individuals with autism and ASD-related coursework were associated with higher awareness across multiple domains, while students without formal education scored higher on physical characteristics. Overall, the findings highlight the importance of direct experience and structured education in improving autism awareness among university students in higher education settings.
- MakaleAçık Erişim2026Scopus SJRQ1When grief persists online: Development of the Digital Prolonged Grief Severity Scale
Çınar, Öznur; Cengiz, Ekrem
Bereaved individuals encounter the deceased through social media profiles, message histories, and algorithmic reminders, yet no validated instrument measures prolonged grief expressed through digital interactions. We developed and validated a multidimensional measure of digital-environment prolonged grief severity (DPGSS). Turkish bereaved adults (n = 577) bereaved at least 12 months earlier completed the DPGSS alongside grief, distress, and other less relevant measures, and 125 completed it again about three weeks later. Factor analyses supported a four-factor structure—digital separation distress and preoccupation, digital emotional responses, digital avoidance, and digital functional impairment—in 15 items. The correlated four-factor model fit the data well, outperforming a one-factor alternative. The DPGSS demonstrated strong internal consistency, test-retest reliability, and measurement invariance across nine demographic variables. Convergent associations with grief and distress, and negligible associations with rigidity and AI acceptance, supported its construct specificity. The DPGSS-15 is a reasonable tool for assessing digital prolonged grief.
- MakaleAçık Erişim2026Scopus SJRQ2An analytical study of contact mechanics in layered orthotropic–isotropic media with functional grading
Öner, Erdal; Artar, Pınar Tuğçe
Contact mechanics has played a central role in engineering progressing from early practices in ancient civilizations to the pioneering experimental studies of early scientists and more recently to advanced computational approaches. In modern research, functionally graded materials have gained increasing attention as their continuously varying properties enable the tailoring of stress fields, improvement of resistance to thermal and mechanical loads, and enhancement of the performance and reliability of layered systems.This study addresses the continuous contact problem of a two-layered medium composed of a functionally graded orthotropic layer (FGOL) placed over a functionally graded isotropic layer (FGIL). A rigid cylindrical punch applies a static concentrated load on the FGOL, while the lower surface of the FGIL is bonded to a rigid foundation. The layers are assumed to be unbonded at their interface, and frictionless contact conditions are imposed. To capture the effect of anisotropy, actual orthotropic materials are employed in the FGOL. An exponential through-thickness variation is adopted for the FGOL stiffness coefficients and density, and for the FGIL shear modulus and density. Under plane strain conditions, the contact formulation is reduced to a singular integral equation by applying the relevant boundary conditions. The equation is solved numerically using Gauss–Chebyshev integration techniques. The results provide detailed evaluations of contact lengths, stress distributions, critical load factors, and initial separation points as functions of selected nondimensionalized parameters and different orthotropic material choices, thereby contributing to a deeper understanding of the mechanics of graded layered systems.
AtıfScopus1WoS1OpenAlex1İncele - MakaleYalnız künye2025Scopus SJRQ1Evaluation of the optical, structural, and morphological characteristics of a Sn-doped α-Fe2O3 thin film fabricated using RF and DC magnetron Co-sputtering technique
Salari, Maryam Abdolahpour; Şenay, Volkan; Muğlu, Günay Merhan; Sarıtaş, Sevda; Kundakçı, Mutlu
In this research, a Sn-doped hematite (α-Fe2O3) thin film on a glass substrate was synthesized using DC and RF magnetron sputtering techniques, and the physical features of the film were analyzed in detail. This study, conducted to investigate the effects of Sn doping on the hematite structure, evaluated the optical and morphological attributes of the thin film using advanced characterization techniques such as UV–VIS spectroscopy, Raman spectroscopy, XRD, SEM, EDS, and AFM. The optical band gap was determined from absorption measurement and calculated to be 2.12 eV. Raman spectroscopy results revealed various characteristic peaks between 100 cm−1 and 1500 cm−1. A strong (214) diffraction peak confirms the enhanced hematite phase formation in the thin film. The crystallite size of the Sn-doped thin film, calculated via Scherrer's formula, is 20 nm. SEM images showed that the thin film exhibited a smooth and homogeneous surface morphology on the glass substrate. According to the EDS results, the atomic doping ratio of Sn in Fe2O3 is 2.84 %. Additionally, AFM analysis confirmed that the Sn-doped α-Fe2O3 thin film had a smooth surface, as indicated by a low RMS (Root Mean Square) roughness value of 8.11 nm. These properties suggest that the thin film could be suitable for optoelectronic applications. The study emphasizes the potential of Sn-doped α-Fe2O3 thin films, particularly for optoelectronic and photocatalytic devices, and underscores the need for further investigation of these materials. Furthermore, it was concluded that these materials should be considered in a broader context for their potential use in various technological applications.
AtıfScopus23WoS22OpenAlex25İncele - Kitap BölümüAçık Erişim2025Surface modifications in titanium alloys produced by powder bed additive manufacturing methods
Gündüz, Demet Özaydın; Küçüktürk, Gökhan; Salunkhe, Sachin
Powder bed additive manufacturing has heralded an era of unparalleled flexibility and innovation in material production, surpassing traditional manufacturing methods. These methodologies are potent tools for crafting intricate structures, offering meticulous control over material properties. With a specific focus on titanium alloys, this investigation delves into strategies to enhance material performance through meticulous surface modifications in titanium alloys manufactured using powder bed additive manufacturing methods. Surface alterations are crucial in customizing the characteristics of titanium alloys to meet specific performance criteria. This comprehensive study aspires to deliver a discerning overview of surface modifications in titanium alloys produced through powder bed additive manufacturing methods, furnishing valuable insights into comprehending the repercussions of these modifications on biocompatibility, mechanical attributes, and overall performance.
AtıfScopus1OpenAlex1İncele - MakaleAçık Erişim2025Scopus SJRQ2High-Performance Microwave-Absorbing Hemp Textile: Ni-Zn Ferrite and Multiwalled Carbon Nanotubes-Infused Nanocomposite for X-Band Electromagnetic Interference Shielding
Teber, Pembe; Teber, Ahmet; Karakaş, İbrahim Hakkı
This study aims to develop a flexible and sustainable electromagnetic (EM) wave-absorbing material by using hemp fabric as a substrate incorporated with multiwalled carbon nanotubes (MWCNTs) and magnetic Ni-Zn ferrite nanoparticles (NPs). In this context, the objective is to achieve effective EM attenuation across a wide frequency range using a green, lightweight composite to meet the rising demand for ecofriendly shielding in electronic and communication systems. Ni0.5Zn0.5Fe2O4 and MWCNT composite NPs are uniformly dispersed in a molten paraffin binder and impregnated into hemp fabrics. The magnetic NPs are synthesized via the microwave-assisted combustion method. The EM parameters of the resulting structure are determined in the X-band using experimental scattering data and the Nicholson–Ross–Weir method. Absorption performance is evaluated based on varying weight ratios of magnetic NPs and MWCNTs, with an emphasis on impedance matching. The results indicate that combining dielectric and magnetic components significantly enhances absorption. A maximum reflection loss of −72.42 dB and a 3.81 GHz bandwidth (covering over 90.71% of the X-band) are achieved at 10.08 GHz. Increasing Ni-Zn content shifts the resonance to higher frequencies. This sustainable, flexible composite shows strong potential for electromagnetic interference shielding, particularly in defense applications requiring radar invisibility.
AtıfScopus1WoS1OpenAlex1İncele - MakaleYalnız künye2025Scopus SJRQ1Regulate Yourself, Improve Your Writing: The Hidden Power of Metacognitive Awareness and Self-Efficacy
Sarikaya, İsmail; Sökmen, Yavuz
This study aims to determine the serial mediatory effect of metacognitive writing awareness and writing self-efficacy in the relationship between primary school students' self-regulation and writing success. The study participants were 408 fourth-grade students attending public primary schools in two cities in eastern Turkey. This study is a correlational survey research. We used SPSS and PROCESS macros to analyze the data. The study revealed strong positive relationships between writing success and self-regulation, metacognitive writing awareness, and writing self-efficacy. It showed that the serial mediation role of metacognitive writing awareness and writing self-efficacy was significant. As one of the first studies to address these relationships, the study fills the gaps in the literature on writing success and sheds light on interventions to improve writing skills at the primary school level.
AtıfScopus1WoS1OpenAlex1İncele - MakaleAçık Erişim2025Scopus SJRQ1Design, Simulation, and Fabrication of High-Performance Metamaterial Absorber for EMI Mitigation and THz NDT/Imaging Applications: A Shape-Preserved GHz-to-THz Transition Approach
Teber, Ahmet
A metamaterial absorber (MMA) designed for the 5G FR2/mmWave bands (24.25–24.45 and 24.75–25.25 GHz) is simulated with CST Studio Suite and fabricated using laser and wet etching techniques. Absorption measurements are performed using horn antennas in conjunction with a vector network analyzer (VNA). The absorber achieves >95.8% absorption under normal incidence for Mode-1, while it exceeds 90% for Mode-2 in the 24.75–25.20 GHz. The simulation results are validated through an electrical equivalent circuit model and experimental data. This absorber presents a promising solution for electromagnetic interference (EMI) reduction and shielding applications. The same structure, scaled from mm to µm without shape alteration, achieved over 90% absorption in the terahertz (THz) region (24–26 THz), particularly in the 24–25.12 THz range. The THz region, known as the “THz gap”, presents challenges due to limited THz sources and detectors. However, technologies such as THz non-destructive testing (NDT) offer potential in biomedical, communication, and defense applications. From this perspective, the high performance and scalability to µm dimensions without changing the shape of the absorber make it suitable for high-frequency EM shielding applications. This dual behavior in the GHz and THz regions offers a versatile advantage due to its varied functionality.
AtıfScopus4WoS4OpenAlex3İncele - KitapYalnız künye2024Pollen Chemistry & Biotechnology
Bayram, Nesrin Ecem; Kostic, Aleksandar Ž.; Gercek, Yusuf Can
Pollen is made up of many chemical constituents such as proteins, sugars, lipids, minerals and phytochemicals. These components make pollen products an excellent source of nutrients and antioxidants for consumers. However, mycotoxigenic fungi are also common in pollen, creating contamination from generated mycotoxins. With adequate monitoring, sampling, processing and storage of pollen the development of mycotoxins can be significantly prevented. Since pollen grain has strong membranes which can limit the bioavailability of some nutrients and phytochemicals, novel methods and pretreatments are required with special emphasis on microbiological pretreatment methodologies. Pollen Chemistry & Biotechnology summarizes current knowledge of the chemical composition of pollen, its importance as a functional food ingredient and its health promoting properties. As Introduction part a short elaborate about botanical characteristics and data, including morphology and anatomy of pollen and bee preferences, is given. Important factors such as the botanical and geographical origin, best practices for preservation of nutritional composition, bioactivity and safety of pollen are covered in full. The nutritional profile of pollen based on data for minerals, lipids and nutrients is presented. A detailed phytochemical profile of pollen based on data for phenolics, flavonoids, carotenoids, vitamins, bioactive compounds is also covered. Areas for the improvement of the bioavailability of different nutrients and bioactive compounds of pollen via applied pretreatments are presented, as are best practices for adequate pollen collection, procession and storage in order to obtain safe products. At the end, an overview about pollen bioactivity as reason to use it as source of pharmaceuticals is made.
AtıfScopus6OpenAlex9İncele - MakaleAçık Erişim2024Scopus SJRQ1Hypoglycaemic confidence levels and experiences related to the hypoglycaemia of patients with diabetes: A mixed methods study
Sönmez Sari, Ebru; Semerci Çakmak, Vahide; Çetinkaya Özdemir, Serap; Eşsiz Sefer, Betül
Aims: This study had three aims: to determine the hypoglycaemic confidence levels of participants, to identify factors affecting hypoglycaemic confidence levels of participants and to assess experiences related to hypoglycaemia of participants. Design: The explanatory–sequential–mixed method was used in this study. Methods: The quantitative stage included a sample of 177 people, and the qualitative stage included a sample of 18 people. Data of the study were collected between April and June 2023 with the Hypoglycemic Confidence Level Scale, Personal Information Form and Semi-Structured Interview Form. Descriptive statistics, independent samples t-test, one-way ANOVA and multiple linear regression analysis were used for quantitative data analysis. For the qualitative data analysis, content analysis was performed in the MaxQda program. Results: The scale items are scored between 1 and 4, and an increase in the score obtained from the scale indicates an increase in confidence levels. The mean hypoglycaemic confidence level score of the participants was 3. The data obtained in the qualitative stage were grouped under three main themes: Experiences Related to Hypoglycaemia, Reasons for Experiencing Hypoglycaemia and Managing Hypoglycaemia. Conclusion: Identifying hypoglycaemic confidence levels and hypoglycaemia experiences of patients with diabetes can guide health professionals, especially nurses, in promoting person-centred care interventions. Impact: The study discussed the hypoglycaemic confidence levels of diabetic patients and their experiences related to hypoglycaemia. The factors affecting the hypoglycaemic confidence level of the participants were educational status, income status, fear of experiencing hypoglycaemia, ability to self-administer insulin, receiving hypoglycaemia training and frequency of experiencing hypoglycaemia. The results of this study may provide guidance for the development of appropriate prevention and coping strategies for hypoglycaemia. Identifying the experiences of patients with diabetes with hypoglycaemia can guide health professionals, especially nurses, in promoting person-centred care interventions. Reporting Method: The Good Reporting of a Mixed Methods Study (GRAMMS) checklist was used for reporting. Patient or Public Contribution: No patient or public contribution.
AtıfScopus3WoS3OpenAlex4
İncele - MakaleAçık Erişim2024Scopus SJRQ2Effects of Recycled Asphalt Material and Natural Pozzolan as Additives of Hot-Mix Asphalt: A Field Study
Yilmaz, Bahadır; Şentürk, Mehmet Akif
Using existing resources more efficiently and effectively becomes important currently. The question of how to make the best use of resources arises in the choice between constructing new roads and improving deteriorated existing roads. It is also important to reduce the amount of consumption and cost of materials. This has emerged the need to use waste materials by recycling and reusing. In this study, a new hot-mix asphalt (HMA) mixture was developed using recycled asphalt pavement (RAP), which was obtained by excavating the surface of a road at the end of its service life, together with a waste material namely natural pozzolan (NP). The final obtained mixture was used as a wear layer on an active highway. Core specimens were extracted from the paved layer for one year and subjected to dynamic and mechanical laboratory tests. Adding NP improved the resistance of the HMA mixture under heavy seasonal effects and traffic loads. In addition, NP increased the tensile strength, making the HMA mixture more resistant to deformation than control and RAP HMA mixtures. Dynamic creep test results showed that the control asphalt mixture had the most deformation and that the RAP mixture with NP had the least. According to the laboratory results, NP addition increased the stability value of the control mixture by 40%. Especially in cold seasons, the role of NP was more evident. In the performance tests that were applied on core samples taken from the field, ITS values for September increased by 98%, and the deformation values obtained as a result of the dynamic creep test decreased by 12%. In summary, adding NP to RAP HMA improves the performance of the pavement and the cost-effectiveness of the environmentally friendly use of RAP in HMA.
AtıfScopus1WoS1OpenAlex1İncele
