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Koleksiyondaki öğeler
- MakaleAçık Erişim2025Scopus SJRQ4Physicochemical, rheological properties, antioxidant activity and mineral amount of the ice cream containing barberry (Berberis vulgaris L.); [Karamuk (Berberis vulgaris L.) ilaveli dondurmanın fizikokimyasal, reolojik özellikleri, antioksidan aktivitesi ve mineral içeriği]
Ürkek, Bayram
Ice cream is classified as a dairy product or frozen dessert. Various fruits have been incorporated into ice cream formulations to enhance their quality and nutritional properties. In this study, ice creams were prepared with barberry at four different concentrations (0%, 5%, 10% and 15%). The physicochemical, rheological characteristics, antioxidant activity, mineral content and sensory properties of the samples were examined. With the addition of barberry, the dry matter (DM), acidity and overrun values increased, while pH and fat content decreased. The viscosity and consistency coefficients were highest in the samples containing 10% and 15% barberry. All samples exhibited pseudoplastic flow behavior. The colorimetric parameters showed significant differences among the samples, except for the C* value. The sample with 5% barberry had higher levels of Ca, Na, Mg, S, Fe and Zn compared to the other barberry-added samples. The sample containing 15% barberry demonstrated the highest DPPH scavenging activity (22.15 μg/mL) and total phenolic content (TPC) (1474.04 mg GAE/g), while the sample without barberry had the lowest values (143.19 μg/mL and 149.48 mg GAE/g, respectively). Additionally, the control sample received the lowest scores for gumming structure, texture, melting in the mouth, resistance to melting and overall acceptability. These findings suggest that incorporating 10% barberry could enhance the quality and nutritional value of ice creams.
AtıfScopus1
İncele - MakaleYalnız künye2025Scopus SJRQ1Influence of PGA/PGV ratio on the seismic performance of buildings with different slenderness ratios considering soil-structure interaction
Araz, Onur
In this study, the seismic performance of buildings equipped with tuned mass damper (TMD) having different slenderness ratios, subjected to ground motions with varying a wide range of PGA/PGV ratios is investigated, considering soil-structure interaction (SSI). A methodology based on hybrid Genetic Algorithm-Particle Swarm Optimization (GA-PSO) algorithm is proposed to determine the optimal parameters of TMD. For this purpose, three buildings (i.e., 3-story, 6-story, and 12-story buildings) are considered and the dynamic properties of these buildings are determined according to the provisions specified in ASCE-7. These buildings, which are frequently encountered in the traditional building stock, represent low, medium, and high-rise buildings, respectively. In the numerical analysis, three different soil types (i.e., SC, SD, and SE) and 80 ground motions are also considered. These records are divided into three different classes: high, intermediate, and low frequency content. The Newmark integration method is used to determine the dynamic responses of the structures in the time domain analysis. Numerical results show that the frequency content of ground motion and the slenderness ratio have a significant effect in reducing the peak displacement and acceleration responses of structures. The findings also demonstrate that when the PGA/PGV ratio is greater than 2, TMD shows mostly sufficient control performance for all buildings and all support conditions.
AtıfScopus21WoS20OpenAlex17
İncele - MakaleAçık Erişim2025Scopus SJRQ1Agrivoltaic system design for sugar beets and wheat in central Anatolia
Yalçın, Ömer; Kuzyaka, Duygu; Özden, Talat
Agrivoltaic systems, which integrate photovoltaic (PV) panels with the usage of agricultural land, emerge as a promising strategy by facilitating the simultaneous generation of renewable energy alongside the cultivation of various crops within the same area. This research is centered on the design and implementation of an agrivoltaic system that is specifically customized for the cultivation of wheat and sugar beet in the Central Anatolia Region of Turkey. The primary objective of this research is to optimize the spatial arrangement of the PV panels to achieve a balance between the generation of energy and the productivity of the crops. Through a detailed assessment of shading effects and Photosynthetic Photon Flux Density (PPFD) levels, this investigation will endeavor to unravel the complex interplay between panel configuration and its consequential impacts on both plant growth and energy output. In this investigation, the shading impacts attributed to three distinct configurations—specifically, the conventional solar power plant (SPP), the intermittently arranged panel layout, and the intermittently arranged V-shaped panel configuration—were assessed, and their appropriateness for the cultivation of wheat and sugar beet was evaluated. The V-shaped design, which additionally facilitates rainwater collection, yielded an enhanced PPFD value across the three designated regions beneath the panels.
AtıfScopus11WoS8İncele - Kitap BölümüYalnız künye2025Managing information asymmetry and conflicting interests in multi stakeholder sustainable supply chains using multi-criteria decision analysis
Şimşek, Ahmet Bahadir; Şimşek, Aybala
This chapter focuses on the challenges which information asymmetry and conflicts of interest present to multi- stakeholder sustainable supply chain design and suggests the use of MCDA to address these challenges. It looks at the ways information imbalances and divergent stakeholder priorities hamper cooperation and sustainability objectives to produce trust problems and ineffectiveness. These challenges are outlined in the chapter using theoretical underpinnings such as Game Theory and Akerlof's Market of Lemons. Next, it illustrates the MCDA's role in dealing with these problems (transparency, balancing conflicting interests and making the decision in an inclusive way). The practical application of MCDA is illustrated via a hypothetical green supply chain project that demonstrates the ability of diverse stakeholder priorities to be harmonised through systematic criteria evaluation and consensus building. The chapter concludes with a discussion of MCDA's potential for integrating environmental, social and economic goals in optimal decision making in complex supply chains.
- MakaleAçık Erişim2024Scopus SJRQ2Characterization of biodegradable bi-layer films from thermoplastic starch and poly-l-lactic acid
Parlak, Mahmut Ekrem; Uzuner, Kubra; Ozdemir, Sebahat; Kirac Demirel, Fatma Tuba; Dundar, Ayse Neslihan; Sahin, Oya Irmak; Dagdelen, Adnan Fatih; Odabas, Halil Ibrahim; Saricaoglu, Furkan Turker
This study aimed to enhance the oxygen barrier properties of polylactic acid (PLA) film, a biodegradable packaging material with high oxygen permeability (OP). Bi-layer films were produced by coating thermoplastic starch (TPS) onto PLA films in various ratios while maintaining constant film thickness. The mechanical, optical, barrier, thermal, hydrophobicity, moisture sorption, and microstructural properties of the films were analyzed. Increasing the TPS ratio elevated moisture content (MC), water uptake, solubility, and opacity while enhancing UV barrier properties. TPS coating reduced tensile and burst strength but increased the burst deformation of the bi-layer films. Bi-layer film production resulted in a water vapor permeability increase of 59.26%–94.44% compared with neat PLA while decreasing OP by 2.52%–29.66%. The equilibrium moisture content (EMC) rose with higher TPS ratios, displaying type II isotherms. FTIR analysis indicated no chemical interactions between PLA and TPS. Increasing the TPS ratio decreased PLA crystallinity, supporting the mechanical and barrier properties of the bi-layer films. Neat and bi-layer films exhibited smooth, homogeneous surfaces, with a visible interface in the cross-section of the bi-layer films. In conclusion, TPS shows promise as an alternative to improve oxygen barrier properties in PLA films without adversely affecting other properties.
AtıfScopus8WoS8OpenAlex9İncele - MakaleAçık Erişim2025Institutional Structure and Environmental Pollution: An Application within the Framework of the Environmental Kuznets Curve Hypothesis
Hayaloglu, Pınar; Recepoglu, Murşit; Cakir, Mehmet Ali
The EKC hypothesis explains the relationship between economic growth and environmental degradation. However, criticisms of its fundamental assumptions suggest that this relationship should be examined more comprehensively. While the EKC hypothesis addresses the link between income levels and environmental quality, it may overlook the impact of institutional structures and policy factors. In this context, recent studies increasingly highlight the role of institutional structures in environmental degradation. Accordingly, this study aims to provide a comprehensive analysis of environmental sustainability by approaching the EKC hypothesis from the perspective of institutional quality. To determine the effects of institutional quality on environmental degradation, the study employs the Driscoll-Kraay estimation method. The analysis is conducted on a sample of SADC countries for the period 1990-2021. The findings indicate that institutional quality has a statistically significant and positive effect on environmental degradation; however, beyond a certain threshold, this effect reverses. Additionally, the impact of economic growth on environmental degradation is examined within the EKC framework, revealing that while per capita income initially increases environmental degradation, exceeding a certain income level leads to improvements in environmental quality. The findings confirm the validity of the EKC hypothesis in SADC countries and suggest that strong institutional structures can play a supportive role in promoting environmental sustainability.
AtıfScopus4OpenAlex3İncele - MakaleYalnız künye2024Scopus SJRQ1Identification of wart treatment evaluation by using optimum ensemble based classification techniques
Balcı, Muharrem; Alkan, Ahmet
Warts caused by Human Papilloma Virus (HPV) do not disappear spontaneously with the body's natural immunity. This is due to many features of HPV, such as its weak immune effect, not entering the bloodstream and causing an immune response, and permanent infection of skin cells. HPV requires urgent treatment due to these characteristics and the fact that warts are most common on the hands and feet and are painful and disturbing. Choosing the most appropriate Cryotherapy or Immunotherapy treatment methods according to the patient's physiological characteristics is important in order to carry out the treatment process quickly. This study focuses on helping experts choose the most appropriate treatment for the most common plantar and common warts. For the selection of treatment method machine learning have been used. Bagged Tree and Subspace K-Nearest Neighbors (KNN) Ensemble classification algorithms were developed and tested on two data sets. These data sets were used to develop classification algorithms with pre- and post-treatment information of 180 patients receiving cryotherapy and immunotherapy treatments. The Subspace KNN Ensemble algorithm correctly predicted the treatment results of 88 of 90 patients receiving cryotherapy treatment, reaching 97.80% accuracy, and the Bagged Tree Ensemble algorithm correctly predicted 78 out of 90 patients receiving immunotherapy, reaching 86.7% accuracy. It has been shown that algorithms can help experts in terms of both high accuracy values and fast decision making. The algorithms proposed have not been used before, and it has also been seen that they have superior performances than similar studies.
AtıfScopus31WoS30OpenAlex36İncele - MakaleAçık Erişim2024Scopus SJRQ1Measurement-based V2V propagation modeling in highway, suburban, and urban environments
Hasırcı Tuğcu, Zeynep; Kuzulugil, Kenan; Çavdar, İsmail Hakkı
Vehicle-to-vehicle (V2V) communication is one of the promising communication applications designed to optimize traffic conditions and has played a crucial role in the improvement of intelligent transportation technologies. Since there is still some uncertainty regarding generalized models that provide a more accurate representation of propagation environments, the existing literature emphasizes the need for additional experimental studies in various countries and propagation environments. This study aims to investigate the low-density and high-density characteristics of V2V channels for highway, suburban, and urban propagation environments in Türkiye. Thus, first, channel measurements were conducted for all propagation scenarios. Then, after the estimation of path loss parameters, the best-fitted path loss model was determined for each propagation scenario by comparing log-distance, two-ray, and log-ray models. It was observed that the log-ray model offered remarkably better performance than the two-ray model, especially in the majority of scenarios with two-ray characteristics. In addition, small-scale modeling and shadowing were also examined, and the outcomes were compared to relevant literature. Last, generalized path loss models were developed for six propagation scenarios and compared with previous studies. Providing additional experimental data on the impact of traffic and road environments that vary across countries on the V2V channel, this study not only validated and compared existing propagation models but also improved the representing accuracy and generalizability of the newly proposed propagation models. Here, all findings were presented in detail to support the motivation of the research.
AtıfScopus11WoS11OpenAlex9İncele - MakaleAçık Erişim2025Scopus SJRQ2Experimental determination of the compression behavior of RTV silicone rubber-based magnetorheological (MR) materials under static loading
Mazlum, Ugur; Celik, Ilhan
In this study, MR elastomer (MRE) materials were produced using seven different types of silicone rubber and five different types of magnetically sensitive ferromagnetic powders. The MRE materials were obtained in three states: pure, isotropic (homogeneous), and anisotropic (aligned). Compression tests were conducted using a uniaxial testing machine, with engineering stress–strain curves, tangent modulus, and MR-strain behavior graphs generated, considering powder ratio, powder type, and hardness values. The goal was to investigate the positive effects of magnetic field influence on these parameters and how the alignment state affected the stress performance of the materials. As a result, the highest stress increase at 10% strain was observed in materials containing 40% powder, with magnetic field comparison showing the most significant results. With the EM powder type at a 30% powder ratio in the isotropic state, a 563% increase in stress was obtained. Among the matrix materials with the same hardness, the most robust material was determined to be the MM240 TV with a Shore hardness of 40. Furthermore, the most significant increase in tangent modulus under the influence of the magnetic field was observed in vertically aligned materials. Compared to the pure material, a 3127% increase was found at 0.57% strain in vertically aligned samples. In materials with Shore hardness of 2, using Basf CN powder at 10–40% powder ratios, the highest relative MR effect was observed at a 20% powder ratio. The stress increase for vertically aligned samples compared to the pure state was 1274.6% at 0.27% strain. When comparing the relative MR effect of materials with Shore hardness between 10 and 59, the largest increase was obtained from the Sorta Clear matrix material.
AtıfScopus1OpenAlex2İncele - Derleme MakaleAçık Erişim2025Scopus SJRQ2Gray Divorce in the Shadow of Modernization: Changing Family Dynamics in Türkiye
Aydin, Selcuk; Sahin, Abdurrahim; Bahadir, Muhammed
Gray divorce, defined as the dissolution of marriages among individuals aged 50 and above, has become an increasingly significant issue in Türkiye. Official statistics in Türkiye show that between 2001 and 2024, divorces among individuals aged 50 and above increased both in absolute numbers and as a proportion of total divorces, rising nearly threefold during this period. These increases reflect broader demographic and social changes, such as population ageing, longer life expectancy, changing expectations of marriage, and shifting gender norms. Using sociological literature on modernization and family change, as well as official statistical data, this review synthesises existing knowledge and situates gray divorce within global debates on family transformation. Findings from gray divorce studies indicate that women’s increasing autonomy, life cycle transitions such as retirement or empty nest experiences, and greater societal acceptance of divorce contribute to this trend. Furthermore, gray divorces have broad implications for intergenerational relationships, care responsibilities, and social policies. Specifically in Türkiye, regional differences show that divorce among the elderly is more prevalent in western urbanized provinces, where individualism and secular values prevail, and significantly less common in eastern regions, where traditional and religious norms are stronger. The increasing prevalence of this phenomenon highlights the need for more empirical research and policy responses that are appropriate to Türkiye’s demographic, regional, and cultural transformations.
AtıfOpenAlex1İncele - MakaleAçık Erişim2025Drivers of the Load Capacity Factor in New İndustrialized Countries: Economic Growth, Financial Development and Urbanization on Load Capacity Factor
Durmus, Savas; Agırkaya, Melahat Batu; Akyol, Hikmet
This study examines the effects of economic growth, financial development, and urbanization on the load capacity factor (LCF) for Newly Industrialized Countries (NICs) over the period 1991-2021. In this context, we analyzed the relationship between the variables using the Fixed Effects Driscoll-Kraay and Fixed Effects Panel Quantile estimators. The estimation results indicate that across all quantiles (low, medium, and high levels of environmental degradation), economic growth has a positive effect on LCF, while the squared term of economic growth has a negative effect. Urbanization and renewable energy consumption positively impact LCF, whereas financial development and labor force participation rates have negative effects. The positive effects of urbanization and renewable energy consumption on LCF become more pronounced in higher quantiles. Conversely, the negative impact of labor force participation on LCF is stronger in higher quantiles. The negative effect of financial development on LCF, however, becomes statistically insignificant at higher quantiles.
AtıfScopus12OpenAlex11İncele - MakaleYalnız künye2025Scopus SJRQ2Mapping Ethics Research in the Hospitality Scholarship
Polat, Eray; Köseoglu, Mehmet Ali
This paper examines the role of ethics-related research in shaping the intellectual structure of hospitality-literature through a two-step method. The intellectual structure of the most-cited ethics-related references was revealed by co-citation analysis. Content analysis was made to reveal each cluster’s main themes. A database comprising 9664 references from seven hospitality journals, spanning 60 years, was analyzed. The analysis uncovered four thematic clusters, indicating that organizational citizenship behaviors and environmental-ethics are the predominant topics in the hospitality-ethics literature. The previous studies heavily focused on examining relationships and their practical implications. The study adopted a novel approach to bibliometric analysis that has never been used in hospitality ethics-reviews. The results of the concept-discipline-focused hybrid-review provide a comprehensive understanding of the knowledge domain and indicate research directions.
AtıfScopus3WoS3OpenAlex3İncele - MakaleAçık Erişim2024Scopus SJRQ2Shape variation in cranium, mandible and teeth in selected mouse strains
Ağaç, Duygu Küçük; Oktay, Ece; Onuk, Burcu; Kabak, Murat; Gündemir, Ozan
There are different strains of laboratory mouse used in many different fields. These strains differ anatomically. In order to determine these anatomical differences, shape analysis was conducted according to species. CD-1, C57bl/6 and Balb-c strains were preferred to study these differences. Forty-eight adult mouse strains belonging to these strains were utilized. The bones were photographed and geometric morphometry was applied to these photographs. Principal Component Analysis was applied to determine shape variations. In Principal component 1 for cranium, CD-1 and C57bl/6 strain groups showed different shape variations, while Balb-c strain group showed similar shape variations to the other strain groups. Principal Component 1 for the mandible separated the CD-1 and C57bl/6 strain groups in terms of shape variation. Principal Component 2 explained most of the variation between the C57bl/6 and CD-1 lineage groups. In PC1 for molars, the CD-1 group showed a different shape variation from the other groups. Mahalanobis distances and Procrustes distances were measured using Canonical variance analysis to explain the differences between the lineage groups. These measurements were statistically significant. For cranium, in canonical variate 1, CD-1 group of mouse and Balb-c group of mouse were separated from each other. In canonical variate 2, C57bl/6 group of mouse were separated from the other groups. For mandible, Balb-c group of mouse in canonical variate 1 and CD-1 group of mouse in canonical variate 2 were separated from the other groups. For molars, CD-1 group of mouse in canonical variate 1 and Balb-c group of mouse in canonical variate 2 were separated from the other groups. It was thought that these anatomical differences could be caused by genotypic factors as well as dietary differences and many different habits that would affect the way their muscles work.
AtıfOpenAlex1
İncele - MakaleAçık Erişim2025Scopus SJRQ2What is the relationship between fairness and trust in terms of tax compliance?
Günay, Hamdi Furkan
Two frequently researched factors in the tax compliance literature are perceptions of fairness and trust. Nevertheless, what is known about the relationship between the two variables is limited. Different findings in the literature have encouraged further research. This study aims to examine the relationship between fairness and trust in tax compliance and the role of these variables with multivariate statistical tests. In this direction, survey data were collected from 540 self-employed taxpayers in Istanbul/Turkey. As a result of the multivariate statistical tests carried out by dividing the data in two, the following conclusions were reached: (1) in line with the findings in the literature, perceptions of tax fairness and trust in tax authorities are essential determinants of tax compliance intention; (2) tax fairness positively affects trust in authorities and trust in authorities positively affects tax fairness; (3) both the mediating and moderating role of trust in tax authorities in the relationship between perceptions of tax fairness and tax compliance intention are confirmed; and (4) although there is a mediating effect of perceptions of tax fairness in the relationship between trust in tax authorities and tax compliance intention, the existence of a moderating effect could not be detected.
AtıfScopus1WoS1OpenAlex1İncele - MakaleAçık Erişim2025Scopus SJRQ1Safety and Nutritional Profile of Traditional Turkish Cheeses: A Comprehensive Study on Their Mineral Content, Heavy Metal Contamination, and Health Risks of Aho, Golot, and Telli
Erol, Seyit; Ürkek, Bayram
Traditional cheeses from Turkey's Black Sea region, such as Aho, Golot, and Telli, are widely known for their unique flavors and artisanal production methods. However, their microbiological safety, mineral content, and heavy metal contamination remain understudied. In this study, we evaluated 30 cheese samples for essential minerals and toxic heavy metals, alongside conducting a corresponding health risk assessment. The results of our mineral analysis revealed sodium (Na) levels ranging from 9787.79 to 37,902.22 mg/kg, while calcium (Ca) and magnesium (Mg) were present at nutritionally relevant concentrations. Heavy metals such as lead (Pb) and mercury (Hg) were detected, with Golot and Telli cheeses showing elevated levels (Pb: up to 1788.75 μg/kg; Hg: up to 468.71 μg/kg). Furthermore, health risk assessments, including estimated daily intake (EDI), target hazard quotient (THQ), and hazard index (HI), indicated that 93.3% of samples posed negligible risks (HI < 1), though two outliers (6.7%) exceeded safety thresholds. Taken together, these findings underscore the need for improved production processes in traditional cheese production while affirming their nutritional value and overall safety for consumers.
AtıfScopus4WoS2OpenAlex4İncele - MakaleYalnız künye2002Scopus SJRQ1Geothermobarometric investigation of the zigana granitoid, eastern pontides, Turkey
Karsli, Orhan; Aydi, Faruk; Sadiklar, M. Burhan
In the Pontides, mineralogically similar, calc-alkaline, zoned I-type granitoids were emplaced into a volcanic-arc environment during the Late Cretaceous and Eocene. The granitoids contain an equilibrium assemblage of quartz, plagioclase, K-feldspar, hornblende, biotite, pyroxene, magnetite, and ilmenite. Large hornblende crystals (1-3 mm) are magnesiohornblende. The average magnesium number is 0.74; Si cation contents range between 6.64 and 7.32; and the average Altot is 0.86. The most common substitution in hornblende is pargasitic. The exchange vector is A□ + VIMg + 2IVSi = ANa + VIAl + 2IVAl. The Altot content of magmatic hornblende in granitoid rocks changes linearly with the crystallization pressures of intrusion; pressures, which were evaluated based on Altot in hornblende, have been estimated using the equation P(kbar) = 4.76Altot - 3.01. The crystallization pressures of granitoid rocks range from 2.4 ± 0.4 to 0.6 ± 0.2 kbar. For estimating temperatures, the hornblende-plagioclase thermometer, T = 0.667P - 48.98 + Y/-0.0429 - 0.008314 InK, was used, and yielded temperatures ranging from 684 ± 13 to 642 ± 7°C. The pressures and temperatures of these zoned intrusions are higher in the granitic and tonalitic rocks of the outer zones than in the quartz monzodioritic and monzonitic rocks of the core.
AtıfScopus12OpenAlex12İncele - MakaleAçık Erişim2026Scopus SJRQ2A novel cloud point extraction method using a benzimidazole-based ligand for the preconcentration of toxic heavy metals in water and food samples
Ozdemir, Olcay; Duran, Celal; Mentese, Emre; Ozdes, Duygu
In the present research, a novel cloud point extraction (CPE) method was developed for the separation and preconcentration of toxic Cu(ii), Ni(ii), Pb(ii), and Cd(ii) ions in environmental water and vegetable samples, prior to their determination by flame atomic absorption spectrometry (FAAS). The ligand 2-(2-(4-fluorobenzyl)-1H-benzo[d]imidazole-1-yl)acetohydrazide (FB-BIAH) was employed for the first time as an analytical complexing agent for the aforementioned metal ions, and Triton X-114 (TX-114) was preferred as the nonionic surfactant. Within the scope of optimizing CPE conditions, experimental parameters, such as pH, FB-BIAH and surfactant amounts, and incubation temperature and time, as well as centrifugation speed and duration, were systematically investigated. The optimal conditions for the simultaneous quantitative recovery of analyte ions were established as pH 7.0, an FB-BIAH amount of 2.5 mg, a TX-114 quantity of 25 mg, an incubation temperature of 60 °C, and an incubation time of 30 min. Under optimal conditions, the proposed method was successfully applied to river water and seawater, as well as different vegetable samples such as lettuce, parsley, and pepper. The results obtained demonstrated that the analyte ions could be reliably determined in complex matrices and that the method exhibited high analytical performance. Due to its simplicity, rapid applicability, environmentally friendly nature, and cost-effectiveness, the proposed CPE-FAAS method represents a promising approach for the routine analysis of toxic heavy metals in environmental water and food samples. This journal is
AtıfScopus2WoS2OpenAlex3İncele - MakaleAçık Erişim2026Scopus SJRQ1The effect of eHealth-based guided self help interventions for binge eating disorder : a meta-analysis of randomized controlled trials
Tuncer, Gülsüm Zekiye; Tuncer, Metin
With rapid technological advancements, eHealth-based guided self-help interventions have become accessible, flexible, cost-effective, and stigma-reducing treatment options for binge eating disorder (BED). This meta-analysis evaluated the effectiveness of these interventions in individuals diagnosed with BED or showing BED symptoms, based on eight randomized controlled trials with 1,575 participants. Intervention length varied between a single session to four months. Six studies focused solely on web-based guided self-help interventions, one study implemented a hybrid approach combining face-to-face and online components, and another study employed two distinct online guided self-help methods. The interventions included psychoeducational modules, therapist feedback, online behavior monitoring, and self-assessments. eHealth-based guided self-help significantly reduced binge eating psychopathology (SMD: 0.53; 95% CI: 0.20–0.86) and objective binge eating (OBE) days (SMD: 0.49; 95% CI: 0.12–0.85) compared to controls. These interventions offer effective solutions for individuals facing barriers to traditional treatment access.
AtıfScopus2WoS2İncele - MakaleYalnız künye2026Scopus SJRQ1Efficient ensemble learning with multi-scale fusion based deep neural network for skin lesion classification
Reis, Hatice Catal; Turk, Veysel
Melanoma, a type of skin cancer, is a severe skin cancer that is critical for early diagnosis but difficult to detect. Deep learning is promising in melanoma diagnosis because it can automatically analyze visual features and perform end-to-end learning. However, achieving the optimum balance between performance and computational efficiency for the effective use of these models in clinical applications is an important research topic. In this study, three innovative methods are proposed for skin cancer detection: PADSCNet, P-DEFF, and M–DEFF. The PADSCNet is an effective neural network developed with CNN and multi-head attention techniques, designed with fusion methods, and stands out with its minimum number of parameters despite being quite deep. The P-DEFF and M–DEFF are based on ensemble learning techniques; P-DEFF was developed with a single deep learning model, and M–DEFF was developed with multiple pre-trained deep learning models. The proposed approaches were tested on the Skin Cancer: Malignant vs. Benign dataset, which was pre-processed using image enhancement techniques. According to the experimental results, PADSCNet achieved accuracy rates of 88.12 %, P-DEFF 93.75 %, and M–DEFF 95.00 %. In additional experiments conducted with the PADSCNet model, 93.12 % accuracy rates were achieved in the CNN for Melanoma Detection Dataset, and 95.00 % accuracy rates were achieved in the PH2 dataset. These findings show that the proposed methods are effective in skin cancer detection and can achieve successful results in clinical applications.
AtıfScopus4WoS3OpenAlex4İncele - MakaleYalnız künye2008The effects of various fertilization and seeding patterns on trace minerals content of lucerne and smooth bromegrass mixture in an intercropping system for livestock
Yolcu, Halil; Turan, Metin
The effects of various fertilization and seeding patterns on trace mineral contents of lucerne-smooth bromegrass mixture were evaluated for animal feeding. The lucerne and smooth bromegrass mixtures were established with different seeding pattern (mixed, alternative and cross-seeding), N fertilizer rates (0, 60 and 120 kg N ha-1) and P fertilizer rates (0, 40, 80 and 120 P2O5 ha-1). Different seeding patterns, N and P fertilization affected the trace mineral contents of the lucerne-smooth bromegrass mixture under the intercropping system. Mn, Cu and Zn content of the mixture varied significantly depending on seeding patterns. However, the seeding patterns had no significant effect on the Fe contents of the mixture. N application decreased the content of Fe and increased the content of Cu, but had no effect on the Mn and Zn content; whereas, P application affected the Mn and Cu contents but had no effect on the contents of Fe and Zn.
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