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Koleksiyondaki öğeler
- MakaleYayıncıda açık erişim2025Scopus SJRQ3Optimization of rare earth elements recovery from Kızıldag (Karaman-Türkiye) shale ore using response surface methodology
Uysal, Turan; Ünal, Ceren Erust; Akça, Muhammet Esat; Sis, Hikmet; Erdemoğlu, Murat
In this study, the usability of bauxite-related shale ore, rich in Rare Earth Elements (REEs), to produce REEs, which have high added value and critical importance, was investigated. In this context, Kızıldag (Karaman-Türkiye) shale ore, was prepared for tests through size reduction and sampling processes. HCl leaching was performed at different acid concentrations, leaching times, leaching temperatures, and liquid/solid ratios to determine the optimum leaching conditions for the milled ore. The modeling and optimization parameters related to leaching recovery were investigated using the response surface method (RSM). The results were evaluated using analysis of variance, three-dimensional graphs were drawn, and the accuracy of the models was discussed. Accordingly, optimum values were found, and the REE leaching recovery corresponding to these optimum values was 49.13%. It was concluded that the optimization results were compatible with the experimental results, and the average error rate (6.35%) was low.
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İncele - MakaleYayıncıda açık erişim2024Scopus SJRQ1Potato leaf disease detection with a novel deep learning model based on depthwise separable convolution and transformer networks
Catal Reis, Hatice; Turk, Veysel
Early diagnosis of plant diseases is essential in reducing economic losses for farmers and increasing production efficiency. Therefore, Computer-Aided Diagnosis (CAD) systems supported by artificial intelligence technologies can be developed to help diagnose diseases quickly and accurately by examining the symptoms and signs in plant leaves. In this study, Multi-head Attention Mechanism Depthwise Separable Convolution Inception Reduction Network (MDSCIRNet) architecture, an image-based deep convolutional neural network, is proposed for classifying potato leaf diseases. The main components of the MDSCIRNet architecture are depthwise separable convolution (DSC) and a multi-head attention mechanism. The proposed architecture has been compared with modern algorithms developed with DSC technology, such as Xception, MobileNet, and deep learning algorithms, such as ResNet101, InceptionV3, and EfficientNetB2, to evaluate its performance in the classification process. In addition, hybrid methods developed with the classical machine learning algorithms Support Vector Machine (SVM), Logistic Regression (LR), Random Forest (RF), Adaptive Boosting (AdaBoost), and MDSCIRNet model, integrated deep learning model, hard voting ensemble learning model. Suggested methods such as these were also used in the experimental process. Moreover, techniques such as Contrast Limited Adaptive Histogram Equalization (CLAHE), Enhanced Super-Resolution Generative Adversarial Networks (ESRGAN), and Hypercolumn were used to improve the image quality of the data set. In the experimental process, the MDSCIRNet deep learning architecture achieved 99.24% accuracy in the study using the original dataset. While a 99.11% accuracy rate was achieved with the integrated deep learning model and hard voting ensemble learning model, the highest success rate of 99.33% was performed in the study conducted with the MDSCIRNet + SVM method. This study contributes to developing new and effective strategies in the agricultural industry for the early diagnosis and control of potato plant diseases. Machine learning-based approaches offer the potential to minimize economic losses and increase productivity in production by allowing farmers to intervene early.
AtıfScopus111WoS75OpenAlex83İncele - MakaleAçık Erişim2024Scopus SJRQ1The effect of psychotherapeutic interventions on posttraumatic stress disorder symptoms, depression and self-esteem in women exposed to violence: a systematic review and meta-analysis
Emirza, Elif Güzide; Uzun, Sevda
This study aimed to reveal the level of effect of psychotherapeutic interventions on post-traumatic stress disorder symptoms, depression, and self-esteem in women who had been exposed to violence. For this systematic review and meta-analysis study, PubMed, Web of Science, EBSCOhost, Google Scholar, and YÖK Thesis Center databases were searched without any year limitation in August-December 2022, and 28 studies were included. The data were synthesized using meta-analysis and narrative methods. This systematic review and meta-analysis found that psychotherapeutic interventions for women exposed to violence were effective on post-traumatic stress disorder symptoms in individuals (SMD: -0,590, %95 CI: -0,893- 0.196; Z= -2,937, p = 0.003, I2= %93,59). Psychotherapeutic interventions had a significant effect on women’s depression levels in favor of the intervention group, and there was high heterogeneity between the studies (SMD: -0,475, %95 CI: -0,838- 0.113; Z= -2,569, p = 0.010, I2= %90,68). Subgroup analyses showed that cognitive behavioral therapy was effective in the treatment of intimate partner violence. It was also found that psychotherapeutic interventions did not affect women’s self-esteem levels. Psychotherapeutic therapies for women who have experienced violence have a favorable impact on them and improve their mental health.
AtıfScopus6WoS4OpenAlex6İncele - MakaleAçık Erişim2025Scopus SJRQ1Patients' Experiences With Complementary and Alternative Treatments to Manage Chemotherapy Symptoms: A Phenomenological Study
Özmaya, Esma; Uzun, Sevda
This phenomenological study aims to explore the experiences of individuals undergoing chemotherapy, focusing on their symptoms and the use of complementary and alternative treatments to cope with these challenges. Thirteen individuals diagnosed with cancer in a city in the central region of Turkey were interviewed using a semi-structured, in-depth approach in this phenomenological study. The criterion sampling method was employed to select participants, and interviews continued until data saturation was achieved. Thematic analysis was applied to the audio-recorded and transcribed interviews. The study adhered to the COREQ checklist for reporting qualitative research. The data analysis revealed 2 main categories (effects of cancer and chemotherapy on individuals, the use of complementary and alternative treatments to cope with the symptoms of patients receiving chemotherapy) and 6 themes (psychological effects, social impacts, physical effects, social practices, psychological practices, and physical practices). The study demonstrated that individuals faced significant psychological, physical, and social challenges due to cancer, posing difficulties in coping. The symptoms had a substantial negative impact on individuals. The research identified the use of various alternative methods, such as yoga, the Mediterranean diet, and music therapy, as coping strategies. It is recommended that individuals undergoing chemotherapy explore complementary and alternative treatment methods to effectively manage symptoms.
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İncele - MakaleAçık Erişim2025Scopus SJRQ3Comparison of drop table and diversified chiropractic techniques in patients with non-specific neck pain; [Comparação das técnicas quiropráticas drop table e diversified em pacientes com dor cervical inespecífica]
Kızıltoprak, Dünya Tajik; Hatıp, Sefa Haktan; Kızıl, Ömer Dicle; Aydın, Emine Büşra
Introduction: Neck pain is a common musculoskeletal disorder associated with pain, reduced cervical mobility, and decreased muscle strength, often leading to functional limitations. Chiropractic manipulation is widely used as a conservative treatment, yet the comparative effects of different techniques remain unclear. ## Objective To compare the effects of the diversified and drop table chiropractic techniques on pain, cervical range of motion, and muscle strength in individuals with non-specific neck pain. ## Methods This randomized controlled clinical trial included 45 participants with non-specific neck pain, randomly assigned to three groups: diversified (DG; n = 15), drop table (DTG; n = 15), and control (CG; n = 15). Interventions were applied twice weekly for four weeks. The primary outcome measure was pain level assessed using the McGill Pain Questionnaire. Secondary outcome measures were cervical joint range of motion assessed with a goniometer and isometric neck muscle strength assessed using a microFET2 dynamometer. Outcomes were assessed pre- and post-intervention. ## Results Both DG and DTG demonstrated significant increases in cervical range of motion compared with the CG. Pain levels significantly decreased in both intervention groups. DG showed significant improvements across all isometric muscle strength measures, while DTG demonstrated selective improvements in flexion and right lateral flexion. CG showed no significant changes, except a decrease in extensor strength. ## Conclusion Chiropractic interventions effectively reduce pain and enhance cervical function in individuals with non-specific neck pain. The diversified technique provided broader muscle strength improvements, while the drop table technique showed more selective effects, emphasizing the need for individualized technique selection in clinical practice. Open access and CC-BY licensed.
- MakaleAçık Erişim2025Scopus SJRQ1The technology, innovation, and income inequality nexus: an investigation on G7 countries
Çelik, Orkun; Sayın, Ferhan
This paper aims to explore the causality nexus among technology, innovation, and income inequality for G7 countries. For this aim, the bootstrap panel Granger approach is employed. The dataset covers the years between 1981 and 2015. Using two different Gini coefficients with pre-tax and post-tax income, the impact of income taxes on the nexus above is investigated. The results indicate that the bi-directional causality nexus is not detected in G7 countries except France. The signs of the nexus become different by countries. In this differentiation, income tax plays an important role. The novelty of this paper is to consider both the bi-directional causality and the effect of income tax in the technology, innovation, and income inequality nexus. It is thought that obtained findings may play a significant role in determining income distribution policies for policymakers.
AtıfScopus2WoS3OpenAlex3İncele - MakaleYalnız künye2024Scopus SJRQ2The effect of anthropometric measurements and muscle endurance of the trunk and lower extremities on anatomic body awareness in healthy individuals with different levels of physical activity
Koca, Rabia; Şen, Müşerref Ebru
Background: The interaction between anthropometric measurements and muscular endurance and how these factors manifest in anatomical body awareness have not yet been fully investigated. It was aimed to examine the relationship between physical activity, body anthropometric measurements and endurance and anatomical body awareness in healthy individuals. Materials and methods: A total of 217 individuals aged 19–40 participated in the study. Participants were categorized into inactive (n = 65), minimally active (n = 80), and sufficiently active (n = 72) groups based on the international physical activity questionnaire (IPAQ). Anthropometric measurements including shoulder, abdomen, waist, and hip circumferences were taken. Participants’ trunk muscle endurance and lower extremity endurance was assessed through various tests. Anatomic body awareness was evaluated using the Body Awareness Questionnaire (BAQ) with established validity. Results: While no significant difference in shoulder circumference measurements was found between the inactive and minimally active groups (p > 0.05), the sufficiently active group showed significantly higher shoulder circumference measurements compared to the other groups (p < 0.05). Significant differences were observed among all endurance tests between the groups (p < 0.05). Participants’ body endurance increased significantly with higher activity levels. Moreover, anatomic body awareness exhibited significant variation among the three groups (p < 0.05), with the sufficiently active group having the highest level of anatomic body awareness. Positive correlations were found between all endurance tests and anatomic body awareness (p < 0.05), as well as a positive correlation between physical activity levels and anatomic body awareness (p < 0.05). Conclusion: It is suggested that physical performance and endurance increase anatomical body awareness when applied with appropriate treatment methods, can be applied for a healthier life and can be an additional application in the clinical environment.
- MakaleAçık Erişim2024Scopus SJRQ4Analysis of grover's quantum search algorithm on a classical computer: Identifying opportunities for improvement
Necati, Çeli̇K; Bi̇Ngöl, Özkan
In this paper, Grover’s quantum search algorithm is analyzed using a classical computer by calculating the amplitudes and the probabilities of finding a single marked state for n=5, 10, 15, 20, 25, and 27 qubit states. The calculations show that the marked state can be found in iterations, where N = 2n is the number of items. The possibility of improving Grover’s search algorithm to find a single item in N search elements is discussed by calculating the amplitudes and hence the probabilities of finding a single marked state for n=5, 10, 15, 20, 25, 30, 35, 40, 45, and 50 qubit states. The calculations showed that the marked state could be found with sufficiently high probability in (ln(N)) iterations. This is quite a remarkable speed-up that can be achieved to find a single marked element in an unsorted N search element. Copyright 2021, Yıldız Technical University.
AtıfScopus2WoS1OpenAlex5İncele - MakaleYalnız künye2024Scopus SJRQ2Theoretical analysis of stress-strain behavior of multi-layer RC beams under flexure
Öztekin, Ertekin
In this study, obtaining theoretical stress-strain curves and determining the parameters defining the equivalent rectangular stress block were aimed for 3 and 4-layered rectangular Reinforced Concrete (RC) cross-sections subjected to flexure. For these aims, the analytical stress-strain model proposed by Hognestad was chosen for the concrete grades (20 MPa ≤ fck≤60 MPa) used in this study. The tensile strength of the concrete was neglected and the thickness of the concrete layers in the compression zone of the concrete cross-section was taken as equal. In addition, while concrete strength was kept constant within each layer, concrete strengths belonging to separate layers were increased from the neutral axis towards the outer face of the compression zone of the concrete cross-section. After the equivalent rectangular stress block parameters were determined by numerical iterations, variations of these parameters depending on concrete strength in layers and layer numbers were obtained. Finally, some analytical equations have been proposed to predict the equivalent stress block parameters for the 3 and 4-layered RC cross-sections and validities of these proposed equations were shown by different metrics in this study.
- MakaleAçık Erişim2025Scopus SJRQ2Effects of Temperature and Time on the Diffusion Bonding of 316L Stainless Steel and H13 Hot Work Tool Steel
Aydın, Kemal; Yıldırım, Mehmet Serkan; Kaya, Yakup
This study examines the diffusion bonding of 316 L stainless steel and H13 hot work tool steel, aiming to optimize process parameters and assess the resulting microstructural and mechanical properties. Both materials were bonded at varying temperatures (700, 750, and 850 °C) and times (15, 30, and 60 min). The joints are analyzed using scanning electron microscopy (SEM), energy-dispersive spectroscopy, and X-ray diffraction (XRD) to evaluate interfacial morphology, chemical composition, and phase formation. Microhardness measurements indicate an increase in hardness from the 316 L side to the H13 side, suggesting intermetallic phase formation. Shear strength tests show the highest strength at 850 °C for 30 min, with longer times leading to strength reduction due to brittle intermetallic compounds. SEM analysis reveals improved bonding interfaces with fewer voids at higher temperatures and longer times, but the Kirkendall effect causes void formation, negatively impacting mechanical properties. XRD confirms α-Fe and γ-Ni phases, with Fe3C forming at 850 °C for 60 min. This study underscores the importance of process parameters in optimizing joint properties and minimizing brittle phase formation, providing insights for industrial applications requiring robust and corrosion-resistant joints.
AtıfScopus5WoS3OpenAlex4İncele - Kitap BölümüYalnız künye2024The effect of digitalization in healthcare on service sustainability
Köse, Asli
This research evaluates how digitalization affects the sustainability of healthcare services. To achieve this, research articles published in the PUBMED and WEB OF SCIENCE databases up to June 30, 2024, were compiled. The PRISMA guidelines were followed when presenting the research findings. In the study evaluating the impact of digitalization on healthcare sustainability, a systematic review method was employed. The systematic review addresses the question of how digitalization affects the sustainability of healthcare services. The research identified two main themes. The first theme focuses on evaluating the effects of digitalization on sustainability within hospitals, healthcare workers, and patient populations. The second theme examines the impact of digitalization on sustainability concerning societal health, health worker well-being, and the overall health system.
AtıfScopus4OpenAlex5İncele - MakaleYalnız künye2025Scopus SJRQ3Estimation of Population Mean Using Some Improved Imputation Methods for Missing Data in Sample Surveys
Pandey, M.K.; Singh, G.N.; Zaman, Togla
Abstract.: In this research article, we present novel imputation methods designed to address missing data challenges in sample surveys. We then introduce innovative estimation procedures for calculating population means based on these methods. Our study thoroughly examines the properties of these new estimation procedures, assessing their biases and mean square errors. Through the use of both real and simulated data sets, we demonstrate the superior performance of our proposed estimators compared to existing methods in similar scenarios. In conclusion, we offer practical recommendations for survey practitioners.
AtıfScopus8WoS9OpenAlex11İncele - MakaleAçık Erişim2025Scopus SJRQ1Flexural Behavior and Sustainability of Dual-Waste Fiber-Reinforced Concrete Designed for Pavement Applications
Seferoğlu, Mehmet Tevfik; Aksüt, Yavuz Selim; Seferoğlu, Ayşegül Güneş
This study evaluates the mechanical performance and sustainability potential of fiber-reinforced concrete incorporating mine tailings as the fine aggregate and waste tire wire as the reinforcing fiber. The concrete mixtures contained 0.2%, 0.4%, and 0.6% waste tire wire with the natural fine aggregate replaced entirely with Pb-Zn-Cu tailings. The mixtures were tested for porosity, water absorption, compressive strength, splitting tensile strength, flexural strength, toughness, fracture energy, and ductility to assess their mechanical performance and durability. The mine tailings improved the microstructure and reduced water absorption, particularly with tire wire. Using waste tire wire improved the compressive, tensile, and flexural performance; in particular, W-6 showed a 18.2% rise in compressive strength and a more than twofold increase in flexural strength relative to the control mix. The flexural toughness and fracture energy rose by up to 161%, while the ductility peaked at a fiber content of 0.2%. These gains were attributed to fiber crack-bridging and post-cracking energy absorption. The dual-waste system also reduced porosity, improved durability, and demonstrated strong potential for rigid pavement applications such as highways, industrial yards, and airport runways that require high fatigue resistance and a long service life. Beyond technical performance, this approach offers a sustainable solution that lowers maintenance, reduces life-cycle costs, and aligns with circular economy principles.
AtıfScopus1İncele - Kitap BölümüYalnız künye2025Carbon Pricing in the Fight Against Climate Change: The Impact of the Carbon Border Adjustment Mechanism on Public Revenues and Revenue Redistribution
Uğur, Candan Yilmaz
This study focuses on the fiscal aspect of the Carbon Border Adjustment Mechanism (CBAM) introduced by the European Union (EU) and aims to examine the use of revenues from the mechanism for developed and developing countries. The CBAM aims to prevent carbon leakage and promote environmental sustainability through carbon pricing, while at the same time generating significant public revenue for the EU. The envisaged use of these revenues in strategic areas such as green transformation, sustainable infrastructure projects and similar is an important step in contributing to the EU's environmental goals. However, given the risk that underdeveloped and developing countries are disproportionately affected by CBAM, the need for effective use of these revenues in these countries becomes even more evident. In this context, the effective use of CBAM revenues in less developed and developing countries is considered as an important tool to support not only environmental sustainability but also the economic and social transformation processes of these countries.
- DüzeltmeAçık Erişim2024Scopus SJRQ1Correction to: Evaluation of Spiritual Care and Well-Being Levels of Individuals Diagnosed with Lung Cancer in Turkey (Journal of Religion and Health, (2024), 63, 5, (3636-3659), 10.1007/s10943-024-02088-3)
Çakmak, Seher; Doğan, Melike Demir; Selim, Nisanur; Kalleci, Gülse Nur
In this article, the 1st and 6th paragraphs in the “Discussion” section contain several errors. The corrected paragraphs are given below. This study aimed to assess the spiritual well-being levels and spiritual care needs of individuals diagnosed with lung cancer. The findings revealed that the patients exhibited high spiritual well-being levels, with the “harmony with nature” sub dimension scoring particularly high in relation to spiritual well-being. This aligns with several studies which reported high spiritual well-being of cancer patients (Martins et al., 2020; Rabow & Knish, 2015).” The study identified high spiritual needs among the patients, with the specific subdimension “informing them about their health” obtaining the highest scores. Notably, in the current study, it was observed that patients’ needs in terms of “informing them about their health” increased, deviating from the emphasis on love, support, and bonding seen in other studies (Kırca et al., 2023; Shi et al., 2023). This divergence is thought to be linked to differences in the disease stage. The original article has been corrected.
AtıfScopus1WoS1OpenAlex1İncele - MakaleAçık Erişim2025Scopus SJRQ1Evaluation of Antioxidant and Enzyme Inhibition Properties of Siran Propolis: Correlations With Phenolic Content Determined by LC–MS/MS
Balci, Neslihan; Aslan, Kubra; Erturk, Adem; Gulcin, Ilhami
This study evaluates the antioxidant activity, enzyme inhibition potential, and phenolic composition of ethanolic Siran propolis extract. Antioxidant capacity was measured using reducing power (CUPRAC, FRAP, and Fe3+-reducing) and radical scavenging (DPPH·, ABTS·+, and DMPD·+) assays. The extract showed strong reducing ability, surpassing standard antioxidants in CUPRAC and FRAP assays, correlating with high ferulic acid (40.40 mg/g) and p-coumaric acid (88.60 mg/g) levels identified by LC–MS/MS. While it demonstrated notable DPPH· scavenging (IC50: 30.14 μg/mL), ABTS·+ activity was weaker (IC50: 272.44 μg/mL). Enzyme inhibition assays indicated effective inhibition of α-glycosidase, AChE (IC50: 2.15 μg/mL), hCA I, and hCA II. Notably, AChE inhibition was stronger than the standard tacrine inhibitor (IC50: 8.82 μg/mL), suggesting neuroprotective potential. The observed bioactivities are attributed to synergistic effects of phenolic acids and flavonoids, including quercetin, luteolin, taxifolin, and resveratrol. These findings highlight Siran propolis as a promising natural antioxidant and enzyme inhibitor source with potential therapeutic applications and food formulations.
AtıfScopus12WoS12OpenAlex11İncele - DüzeltmeAçık Erişim2024Scopus SJRQ2Correction to: Disease Burden and Sexual Life Experiences of Individuals with Chronic Obstructive Pulmonary Disease: A Phenomenological Study (Sexuality and Disability, (2024), 42, 1, (201-215), 10.1007/s11195-023-09821-y)
Uzun, Sevda; Toker, Sema; Erer, İmren
In this article the affiliation details for Author Sema Toker were incorrectly given as ‘Sundays Vocational School of Health Institutions Management Program, Dumlupinar University of Kütahya, Kütahya, Turkey’ but should have been ‘Kütahya Dumlupınar University, Pazarlar Vocational School, Kütahya, Turkey’.
AtıfWoS3İncele - MakaleAçık Erişim2024Scopus SJRQ2A new method of smoothness-constrained magnetotelluric modelling with the utility of Pareto-optimal multi-objective particle swarm optimization
Büyük, Ersin
Particle swarm optimization, one of the modern global optimization methods, is attracting widespread interest because it overcomes the difficulties of conventional inversion techniques, such as trapping at a local minimum and/or initial model dependence. The main characteristic of particle swarm optimization is the large search space of parameters, which in a sense allows the exploration of the entire objective function space if the input parameters are properly chosen. However, in the case of a high-dimensional model space, the numerical instability of the solution may increase and lead to unrealistic models and misinterpretations due to the sampling problem of particle swarm optimization. Therefore, smoothness-constrained regularization techniques used for the objective function or model reduction techniques are required to stabilize the solution. However, weighting and combining objective function terms is partly a subjective process, as the regularization parameter is generally chosen based on some kind of criteria of how the smoothing constraints affect the data misfits. This means that it cannot be completely predefined but needs to be adjusted during the inversion process, which begins with the response of an initial model. In this paper, a new modelling approach is proposed to obtain a smoothness-constrained model from magnetotelluric data utilizing multi-objective particle swarm optimization based on the Pareto optimality approach without using a regularization parameter and combining several objective function terms. The presented approach was verified on synthetic models and an application with field data set from the Çanakkale–Tuzla geothermal field in Turkey. Findings from these analyses confirm the usefulness of the method as a new approach for all constrained inversions of geophysical data without the need to combine the objective function terms weighted by a regularization parameter.
AtıfScopus2WoS2OpenAlex1İncele - MakaleAçık Erişim2025Scopus SJRQ2The effect of high SiC ratio on the physical, mechanical, tribological and corrosion behavior of Al2024 alloy matrix composites fabricated by powder metallurgy
Beder, Murat; Varol, Temel; Akçay, Serhatcan Berk; Çuvalcı, Hamdullah; Erdemir, Fatih; Khan, M Adam; Yıldız, Uğur Temel
Reinforcing materials used in the production of metal matrix composites are used to improve the properties of the final composite. However, the compatibility between matrix and reinforcement and the reinforcement ratio directly affects the properties of the composite material. For this reason, low reinforcement ratios are preferred in many studies on ceramic particle reinforced composites. Unlike conventional studies, in this study, the effects of 10 wt%, 20 wt% and 40 wt% SiC content on the microstructure, dry wear properties and corrosion properties of Al2024 matrix composites were investigated. θ phase content became higher as the SiC content was increased. Hardness values increased with increasing SiC reinforcement. The highest value (307.68 HB) was obtained for the composite with 40 wt% SiC reinforcement, an increase of more than 100%. A decrease in volume loss with increasing SiC reinforcement was observed in the friction and wear tests. For 5 N of load and 1200 m of sliding distance, it was found that an addition of 40 wt% of SiC particles in Al2024 matrix results decrease in volume loss by almost 722%.
AtıfScopus8WoS7OpenAlex7İncele - MakaleYalnız künye2024Scopus SJRQ2Evaluation of Spreadable Kefir Produced from Different Milks in Terms of Some Quality Criteria
Aktaş, Haktan; Meral Aktaş, Hacer; Ürkek, Bayram; Şengül, Mustafa; Çetin, Bülent
Kefir, which has many beneficial effects on health, is one of the most consumed fermented milk products worldwide. It is important to increase consumption of the fermented product for public health. In this study, it was aimed to increase the beneficial effects of kefir on public health. Therefore, kefirs produced from different types of milk (cow, buffalo, sheep, and goat) were concentrated, and obtained spreadable kefir samples were investigated in terms of their microbiological characteristic (lactic bacilli, lactic cocci, yeasts and moulds, total bacteria, and coliform bacteria), benzoic acid content, physicochemical properties (fat, total solid, ash content, acidity, pH, syneresis, viscosity, colour, and rheological properties), and sensory characteristic. It was determined that APC, lactic bacilli, lactic cocci, and yeast counts of the concentrated kefir samples changed between 6.90 and 8.64, 6.89 and 8.61, 7.42 and 8.72, and 2.17 and 5.39 log CFU/g, respectively, during storage. Mould and coliform bacteria were not detected in the samples. The concentrated kefir samples contained benzoic acid in the range of 18.30–119.58 mg/L. Results from this study showed that type of milk caused differences on APC, lactic bacilli, lactic cocci and yeast count, total solids, ash, fat, acidity, pH, syneresis, colour, viscosity and rheological parameters, and benzoic acid content. In addition, milk type affected sensory properties of the kefirs. Concentrated kefirs produced from cow and buffalo milk were the most liked by panellists. Finally, it was determined that concentrated kefir was favoured as a new product by most of the panellists.
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