Sürdürülebilir Kalkınma Amaçları

Yazarlar

  • MakaleAçık Erişim2023Scopus SJRQ2
    Computational Intelligence Based Point of Interest Detection by Video Surveillance Implementations

    Tercan, Emre; Tapkın, Serkan; Küçük, Furkan; Demirtaş, Ali; Özbayoğlu, Ahmet; Türker, Abdussamet

    Latest advancement of the computer vision literature and Convolutional Neural Networks (CNN) reveal many opportunities that are being actively used in various research areas. One of the most important examples for these areas is autonomous vehicles and mapping systems. Point of interest detection is a rising field within autonomous video tracking and autonomous mapping systems. Within the last few years, the number of implementations and research papers started rising due to the advancements in the new deep learning systems. In this paper, our aim is to survey the existing studies implemented on point of interest detection systems that focus on objects on the road (like lanes, road marks), or objects on the roadside (like road signs, restaurants or temporary establishments) so that they can be used for autonomous vehicles and automatic mapping systems. Meanwhile, the roadside point of interest detection problem has been addressed from a transportation industry perspective. At the same time, a deep learning based point of interest detection model based on roadside gas station identification will be introduced as proof of the anticipated concept. Instead of using an internet connection for point of interest retrieval, the proposed model has the capability to work offline for more robustness. A variety of models have been analysed and their detection speed and accuracy performances are compared. Our preliminary results show that it is possible to develop a model achieving a satisfactory real-time performance that can be embedded into autonomous cars such that streaming video analysis and point of interest detection might be achievable in actual utilisation for future implementations.

    • SDG 9 · Sanayi, Yenilikçilik ve Altyapı
    • SDG 11 · Sürdürülebilir Şehirler ve Topluluklar
    AtıfScopus1OpenAlex1
    ScopusWeb of Scienceİncele
  • MakaleAçık Erişim2023Scopus SJRQ1
    A bio-inspired solution to alleviate anisotropy of 3D printed engineered cementitious composites (3DP-ECC): Knitting/tilting filaments

    Zhou, Wen; McGee, Wes; Gökçe, H. Süleyman; Li, Victor C.

    Widely reported anisotropy in 3D printed cementitious structures has been a primary concern to structural integrity, especially for fiber-reinforced cementitious material, e.g., engineered cementitious composites (ECC). To alleviate the anisotropy present in 3D printed ECC (3DP-ECC), two innovative printing patterns, “knitting” and “tilting” filaments, were proposed, mimicking the natural crossed-lamellar structure of conch shells. 3D spatial paths were designed to allocate tensile/flexural resistance to multiple directions and to create an interwoven interface system to strengthen the structure. Four-point bending tests loading from three different directions were conducted. It was found that knitted and tilted filaments revealed superior or comparable bending performance to cast ECC in two favorable orientations. Furthermore, flexural performance in the weakest orientation was notably improved by knitting and tilting, with up-to-179% increases in flexural strength compared with that of parallel filaments. This novel approach holds great promise in alleviating anisotropy of 3DP-ECC without introducing additional reinforcement.

    • SDG 9 · Sanayi, Yenilikçilik ve Altyapı
    AtıfScopus45WoS39OpenAlex42
    ScopusWeb of Scienceİncele
  • MakaleAçık Erişim2023Scopus SJRQ3
    The characterization of the non-starter lactic acid bacteria and yeast microbiota and the chemical and aromatic properties of traditionally produced Turkish White Cheese

    Macit, Emine; Yücel, Nur; Dertli, Enes

    Turkish White Cheese is a brined (or pickled) cheese with a salty, acidic flavor and a soft or semi-hard texture. It is the most produced and consumed type of cheese in Turkey. The purpose of this study was to determine the non-starter lactic acid bacteria and yeast microbiota of traditionally produced Turkish White Cheese and analyze the chemical properties and the aroma profile of the cheese. The results of the study identified 27 distinct strains belonging to 14 the non-starter lactic acid bacteria species and 49 different strains belonging to 11 yeast species. Lactobacillus plantarum was found to be the dominant species among the lactic acid bacteria, while Candida zeylanoides was the dominant yeast species in the White Cheese samples. In addition, Kluyveromyces lactis and Debaryomyces hansenii were prominent yeast species in cheese samples. Turkish White Cheese samples had different aromatic properties. The study is highly significant as it anaylzed both non-starter lactic acid bacteria and yeast microbiota of traditionally produced Turkish White Cheese through molecular methods. It also determined and analyzed a number of chemical and aromatic properties of White Cheese.

    AtıfScopus6WoS6OpenAlex5
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  • MakaleAçık Erişim2023Scopus SJRQ1
    A novel ignition timing strategy to regulate the energy balance during the warm up phase of an SI engine

    Koksal, Hüseyin; Ceviz, Mehmet Akif; Yakut, Kenan; Kaltakkiran, Galip; Özakin, Ahmet Numan

    The warm up characteristics of an engine have a significant impact on engine performance and exhaust emissions. In SI engines, the light-off performance of the catalytic converter is also important. One of the methods used to shorten the light off time of the catalytic converter is to retard the ignition time. When the ignition time is retarded, the temperature of the exhaust gases increases. However, in this case, the warm up performance of the engine itself may be adversely affected. In this study, firstly, the effects of ignition timing on the energy balance during the warm up period in an SI test engine were revealed. Then, a novel ignition timing strategy was proposed in order to increase the temperature of the exhaust gases, and not to reduce the engine performance. The novel ignition timing strategy working on the principle of sequentially advanced and retarded ignition at certain intervals during the warm up period provides several advantages. When the novel ignition strategy is applied, the energy loss through the exhaust gas was increased up to 7.2% for several operating conditions, while the reduction in engine performance is eliminated. Moreover, 20% reduction in NO emission has been achieved.

    • SDG 7 · Erişilebilir ve Temiz Enerji
    • SDG 13 · İklim Eylemi
    AtıfScopus8WoS8OpenAlex7
    ScopusWeb of Scienceİncele
  • MakaleAçık Erişim2023Scopus SJRQ4
    The Effect of Different Physical Education Class Hours Applied in Secondary Education on Certain Physiological and Physical Parameters

    Sever, Mehmet Onur; Söyler, Mehmet; Çingöz, Yunus Emre; Barkin, Emrah

    This study investigates the effects of different physical education lesson hours applied to secondary school students on some physical and physiological parameters. A total of 36 secondary school students voluntarily participated in the study: respectively, 18 from Group 1 and 18 from Group 2 (age: 14.94±0.41 / 14±0.34 years; height: 175.22±7.62 / 169.33±6.95 cm; weight: 61.95±9.07 / 56.83±6.33 kg). While Group 1 students received 8 hours of physical education lessons per week, Group 2 students were given 2 hours of physical education lessons according to the Ministry of National Education curriculum. Body weight (kg) and body fat percentage (%) were determined using the Inbody 270 professional body analysis device. A portable dynamic balance device was used to determine the students' balance. The test results were analyzed using the SPSS Statistics software. Non-parametric tests were employed since the data did not show a normal distribution. The Mann-Whitney U test was used to test the significance of the difference in balance and body fat percentage (BFP) level averages between the two independent groups. Upon evaluating our data, it was statistically ascertained that the dynamic balance (Balance) values of Group 1 secondary school students were significantly higher when compared to Group 2 students. However, no statistically significant difference was found in body fat percentage (BFP) values between Group 1 and Group 2. As a result, it is seen that increasing physical education lesson hours in secondary education contributes to some physical development of young individuals.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
    • SDG 4 · Nitelikli Eğitim
  • MakaleYalnız künye2023Scopus SJRQ1
    Investigation of the effect of group counselling based on schema therapy on academic expectation stress in high school students

    Koçak, Lokman; Çelik, Eyüp

    This research is a preliminary evaluation study to determine whether group counselling based on schema therapy has an effect on academic expectation stress in high school students. In this study, a 2 × 3 split-plot design was used. The Academic Expectation Stress Inventory was applied for data collection purposes. The effect of group counselling based on schema therapy on academic expectation stress was tested using a two-factor ANOVA for mixed measurements. As a result of the analysis, the intervention*time effect was found to be significant with regard to academic expectation stress. The findings obtained in the study reveal that group counselling based on schema therapy creates a significant decrease in adolescents' academic expectation stress level, and this decline continues, as shown in the follow-up test. As a result, it can be said that the group counselling programme based on schema therapy, which was developed as a preliminary evaluation study, has the potential to reduce the academic expectation stress level of high school students.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
    • SDG 4 · Nitelikli Eğitim
    AtıfScopus3WoS2OpenAlex3
    ScopusWeb of Scienceİncele
  • MakaleYalnız künye2023Scopus SJRQ1
    Assessing Acute Responses to Exercises Performed Within and at the Upper Boundary of Severe Exercise Domain

    Norouzi, Mahdi; Cabuk, Refik; Balci, Gorkem Aybars; As, Hakan; Ozkaya, Ozgur

    Purpose: The highest work-rate that provides maximal oxygen uptake ((Formula presented.)) may be one of the best exercise stimuli to yield both (Formula presented.) and lactate accumulation. The aim of this study was to analyze physiological and metabolic acute responses of an exercise modality performed at the upper boundary of the severe exercise domain, and compare those responses with exercise modalities applied within the severe exercise domain. Method: Ten trained male cyclists participated in this study. The (Formula presented.), corresponding power output (POVO2max), and the highest work-rate that provides the (Formula presented.) (IHIGH) were determined by constant work-rate exercises. Cyclists performed three high-intensity interval training (HIIT) strategies as follows; HIIT-1: 4–6 × 3-min at 95% of POVO2max with 1:1 (workout/rest ratio); HIIT-2: 16–18 × 1-min at 105% of POVO2max with 1:1; HIIT-3: 4–7 × 1-2-min at the IHIGH with 1:2. Capillary blood samples were analyzed before, immediately after HIIT sessions, and at the first, third, and fifth minutes of recovery periods. Lactate difference between the highest lactate response and resting status was considered as the peak lactate response for each HIIT modality. Results: Time spent at (Formula presented.) was greater at HIIT-1 and HIIT-3 (272 ± 127 and 208 ± 111 seconds, respectively; p = 0.155; effect size = 0.43) when compared to the HIIT-2 (~26 seconds; p < 0.001), while there was a greater lactate accumulation at HIIT-3 (~16 mmol·L−1) when compared to HIIT-1 and HIIT-2 (12 and 14 mmol·L−1, respectively; p < 0.001). Conclusions: In conclusion, HIIT-3 performed at IHIGH was successful to provide time spent at (Formula presented.) with a greater lactate accumulation in a single session.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
    AtıfScopus8WoS8OpenAlex6
    ScopusWeb of SciencePubMedİncele
  • MakaleAçık Erişim2023
    Evaluation of activity-based mathematics teaching to students with learning disabilities in out-of-school learning environments

    Filiz, Tunahan; Güneş, Gönül

    This study aimed to support primary school students with learning difficulties in out-of-school learning environments with artistic or sportive activities. The case study method, one of the qualitative research methods, was used in the study. The activities prepared for students with learning difficulties were shaped by considering four learning areas (numbers, geometry, measurement, and data processing). Each learning area was associated with music, visual arts, sports, and drama methods, respectively. The prepared activities were implemented for four days between 16-19 April 2023, when schools were on holiday. The activities were applied to students in 20 lessons in five lessons of 40 minutes each day. The project's target group consisted of 24 students officially diagnosed with learning disabilities and attending the third and fourth grades of primary school. This study collected data from interviews, observation, document review, and curriculum-based evaluation methods. The content analysis method was used for data analysis. The results of the study show that activity-based mathematics teaching has a positive effect on student learning. Artistic or sportive activities can be added to school programs for students with learning difficulties to learn in real-life environments.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
    • SDG 4 · Nitelikli Eğitim
    AtıfScopus2OpenAlex1
    Scopusİncele
  • MakaleAçık Erişim2023Scopus SJRQ1
    Green Synthesis, Characterization, Antioxidant, Antibacterial and Enzyme Inhibition Effects of Chestnut (Castanea sativa) Honey-Mediated Silver Nanoparticles

    Keskin, Merve; Kaya, Gülşen; Bayram, Sinan; Kurek-Górecka, Anna; Olczyk, Paweł

    In this study, chestnut honey-based silver nanoparticles (CH-AgNPs) were synthesized at different temperatures (30, 60 and 90 °C) and these nanoparticles were characterized by different techniques such as UV–vis spectrophotometer, Fourier transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM) and energy dispersive X-ray (EDX). The DPPH free radical scavenging assay was used to determine the antioxidant activity of the obtained nanoparticles. The inhibition effects of these nanoparticles for some clinically important enzymes such as myeloperoxidase and collagenase were investigated. In addition, the disk diffusion method (DDM), agar well diffusion (AWD), and minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC) techniques were used to determine the antibacterial activity of CH-AgNPs. In honey-based silver nanoparticle production processes using green synthesis, it was determined that the nanoparticle sizes decreased from 55 to 27 nm with an increase in temperature. In addition, it was determined that the rate of inhibition of myeloperoxidase (36.4% to 34.0%) and collagenase enzymes (74.2% to 68.7%) increased with a decrease in particle size. As a result of the antibacterial activity tests, it was observed that CH-AgNPs have antibacterial activity against all target pathogens including Gram-positive and Gram-negative bacteria. The obtained results show that CH-AgNPs produced using chestnut honey have the potential to be used in fields such as medicine, pharmacy and cosmetic technology.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
    AtıfScopus48WoS41OpenAlex42
    ScopusWeb of SciencePubMedİncele
  • MakaleAçık Erişim2023Scopus SJRQ2
    Determination of the molecular structure and spectroscopic properties of capsaicin

    Çınar, Mehmet; Alım, Bünyamin; Alım, Zuhal; Şakar, Erdem

    In this study, the ground state molecular structure and spectroscopic features of cis- and trans-forms of capsaicin were investigated using DFT (B3LYP) invoking 6–311++G(d,p) basis set. The optimized geometry of capsaicin was determined for the isolated molecule in a vacuum, and then the vibrational spectra –IR and Raman-were obtained, and the assignments of fundamental vibrational modes were done. By applying the GIAO method, proton and carbon chemical shifts were computed for the gas and solvated phases. Besides using the TD-DFT, the Hirshfeld surface and Molecular Electrostatic Potential surfaces were obtained and evaluated to understand the electronic properties. The Total and partial density of state (TDOS and PDOS) spectra were also examined. All obtained computational results were compared with the previously reported experimental data. A high accuracy was obtained for the ground state geometrical structure, and thus, the vibrational frequencies especially lie on the finger print region are predicted also with a high correlation. Similarly, the optimization of chemical shift values calculated by considering solvent effects with experimental data were found as high R2 values of 0.9953 and 0.9455 for C and H atoms, respectively. This comparison shows that the DFT method precisely predicts capsaicin's molecular and spectroscopic characteristics.

    AtıfScopus16WoS16OpenAlex15
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  • MakaleAçık Erişim2023Scopus SJRQ4
    İmdat Sancar and Bayburt Sağdıç (Best man’s) Weddings as Cultural Heritage; [BİR KÜLTÜR TAŞIYICISI BİREY OLARAK İMDAT SANCAR VE BAYBURT SAĞDIÇ DÜĞÜNLERİ]

    Kabak, Turgay

    Bayburt, geographically located on the historical Silk Road that connects the Eastern Black Sea region with the Northeastern Anatolia region, is one of the ancient cities in the region. Throughout history, due to its location on the trade route, this city has been continuously inhabited, and it possesses a rich and deep cultural heritage. This cultural heritage, although constantly evolving in today’s digital world with rapid advancements in transportation and communication, has been largely preserved and passed down to the present day. In this regard, one of the most special cities in our country, Bayburt, has greatly benefited from individuals who both understand and actively preserve its culture. One of these individuals is İmdat Sancar. İmdat Sancar is one of the rare individuals who fit UNESCO’s definition of “culture bearers” with his knowledge of traditional folk songs, the songs he has composed, his participation in folk music events, and the traditional “sağdıç düğünü” (best man’s wedding) ceremonies he organizes. His special quality lies not only in his knowledge of the culture but also in his ability to actively practice and pass it on to others. The subject of this study is the traditional “sağdıç düğünü” (best man’s wedding) ceremonies known by İmdat Sancar. These ceremonies are actually categorized as village performance plays, falling within the realm of theatrical performances. These plays were collected from İmdat Sancar himself using interview methods and were analyzed from the perspective of Functional Theory. Content analysis was also conducted. As a result of the examination, it was determined that these plays serve various functions within the community and encompass a wealth of traditional knowledge and practices that are integral to people’s daily lives.

    AtıfScopus1OpenAlex1
    Scopusİncele
  • MakaleYalnız künye2023Scopus SJRQ1
    Optimum weight design of steel truss roof systems considering corrosion effect

    Yaren Aydoğdu, Afranur; Artar, Musa; Ergün, Mustafa

    In this paper, the ideal weight for steel truss roof systems is determined while corrosion is considered. Because one of the most crucial problems that steel truss roof systems may experience during their service life is the effect of corrosion. If a corroded structure is designed without considering this effect during the design phase, significant damages and even collapses may occur before it reaches its service life. For this reason, the aim of this study is to make weight optimizations by considering the corrosion effect of steel truss roof systems. Thus, it has been revealed how corrosion that may develop on the truss members' surfaces affects the structure's overall optimum weight. Swarm intelligence-based algorithm approaches, Ant Colony Optimization (ACO), and Butterfly Optimization Algorithm (BOA) are used for this purpose to determine the optimal weight design of five different steel truss roof systems that were previously researched. The main program, which includes structural analysis (FEA) and optimization algorithms, is coded in the MATLAB programming language. The compression and tension bars selected as the limiting functions of the optimization problems are obtained from the stress, displacement, and slenderness conditions specified in the American Institute of Steel Construction-Allowable Strength Design (AISC-ASD, 1989) standard. It is seen that the optimum weight results obtained from all optimization methods for each structure in the non-corrosive condition are relatively similar. This result proves the correctness of the algorithms proposed in this paper. Then, under the influence of corrosion, the optimal weight designs of the structures are carried out. When the findings for the two cases are examined, it can be seen that the optimum weight values for all structures have slightly increased. This is because larger profiles are required due to overcapacity brought on by section loss. The weight of the structure increases in lockstep with the severity of corrosion. All the results like this are presented in detail with the help of tables and graphs in the relevant sections.

    • SDG 9 · Sanayi, Yenilikçilik ve Altyapı
    AtıfScopus13WoS11OpenAlex18
    ScopusWeb of Scienceİncele
  • MakaleAçık Erişim2023Scopus SJRQ3
    The Effects of Teacher Relationships on Student Academic Achievement: A Second Order Meta-Analysis

    Göktaş, Erkan; Kaya, Metin

    This study aims to determine the correlational effect sizes between teacher relationships and student academic achievement. Teacher relationships were categorized as intrapersonal and interpersonal relationship types. Intrapersonal and interpersonal relationships are directed at different individuals. Intrapersonal relations refer to the inner life and thoughts of a teacher which are effective on the way of teaching and human relations. Interpersonal relations refer to social links between a teacher and the other people of the school community. The method of the study is second order meta-analysis. In this method, effect sizes of the first order meta-analyses are combined to get an average effect size score. Totally, 17 eligible first order meta-analyses are included in the study. The findings indicate that the correlational effect size between a positive teacher intrapersonal relationship and student academic achievement is positively small, positive teacher student relationship and student academic achievement is positively medium, a positive teacher school community relationship and student academic achievement is positively at a very large level. Also, correlational effect size representing a negative teacher intrapersonal relationship and student academic achievement is negatively medium, a negative teacher student relationship and student academic achievement is negatively small. As for moderator analyses, the variance of the effect sizes is statistically significant according to the positive relationship types and the publication types. In light of the findings some suggestions were made to improve teacher and school community relations that may help teachers and students to be more successful.

    • SDG 4 · Nitelikli Eğitim
    AtıfScopus30OpenAlex36
    Scopusİncele
  • MakaleAçık Erişim2023Scopus SJRQ3
    COMPARATIVE ANALYSIS OF BIOCHEMICAL CONTENT, ANTIMICROBIAL AND ANTIOXIDANT ACTIVITIES OF HYPERICUM PERFORATUM L. SPECIES IS GROWN IN TÜRKİYE

    Gul, Volkan; Cetinkaya, Hatice; Dinler, Burcu Seckin; Sefaoglu, Firat

    Many external factors, such as climatic conditions, geographical differences, and altitude, directly affect the primary and secondary metabolites and therapeutic use of St. John's Wort (Hypericum perforatum L.), an important plant in alternative medicine. This study was carried out to identify the antioxidant and antimicrobial activities and the content of proline, malondialdehyde, hydrogen peroxide, flavonoid, anthocyanin, and total phenolic in the St. John's Wort growing naturally in different regions of Bayburt. The St. John's Wort samples were collected from 11 different locations. As a result of the analyses carried out on the plant samples, it was found that the content of proline was within the range of 4.6-8.2 µmol g-1 DW, the amount of malondialdehyde was within the range of 0.69-1.10 nmol g-1 DW, the amount of hydrogen peroxide was within the range of 79.89-155.49 µmol g-1 DW, the amount of flavonoids was within the range of 91.38%-100.27%, the amount of anthocyanin was within the range of 0.15-1.11 mkmol g-1 DW, the total phenolic content was within the range of 15.82-45.22 mg GAE g-1, and the antioxidant activity was within the range of 6.07-105.60 µg mL-1. In conclusion, although the biochemical contents and nonenzymatic antioxidant activities showed a wide variety, the antioxidant activity was found to be higher in samples 5, 8, and 11. According to the antimicrobial activity results, some plant extracts were effective on bacteria and fungi, especially samples 5, 6, 8, and 11 showed an effect at the concentration of 200 μg mL-1. This study, the first regional study on this subject, will contribute to future research and clinical trials in the health field.

    • SDG 2 · Açlığa Son
    • SDG 3 · Sağlık ve Kaliteli Yaşam
    AtıfScopus4WoS2OpenAlex3
    ScopusWeb of Scienceİncele
  • MakaleAçık Erişim2023Scopus SJRQ1
    Implementation of Active and Passive Vibration Control of Flexible Smart Composite Manipulators with Genetic Algorithm

    Uyar, M.; Malgaca, L.

    Endpoint vibrations of flexible manipulators (FM) are suppressed using active or passive control techniques. Suppressing vibrations increases the dynamic performance of the FM in engineering applications. In this study, a model extraction approach is proposed for vibration suppression of single-link flexible smart and composite manipulators. Active and passive control (APC) of residual vibrations is studied theoretically and experimentally. The smart manipulator consists of patching a piezoelectric (PZT) actuator to an aluminum and composite link. The finite element (FE) model of smart manipulators, including revolute joint and PZT actuator, is created in ANSYS. The motion profile and actuator voltage are the inputs, the tip displacement is the output. Then, the state-space (SS) mathematical models of the smart manipulators are extracted from the FE models by using the inputs and outputs. The open-loop and closed-loop simulations are performed using the extracted mathematical models in MATLAB. Passive control is achieved by the motion profiles, while active control is achieved by the PZT actuators. The PD controller with the displacement feedback is used to create the actuation voltages. For the optimized APC, the PD gains are optimized with a genetic algorithm by using the integral of the squared error and integral of absolute magnitude of the error fitness functions. Residual vibrations of smart manipulators are successfully reduced by the optimized APC. To verify the simulation results, open-loop and closed-loop experiments are carried out. The SS mathematical model successfully predicts the dynamic performance of FSM for various motion profiles, according to experimental results.

    AtıfScopus12WoS9OpenAlex10
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  • MakaleYalnız künye2023Scopus SJRQ3
    The effects of heat treatment temperatures on photocatalytic activity of cobalt ferrite nanoparticles synthesised by microwave-assisted combustion method

    Karakaş, Ibrahim Hakki; Karcioğlu Karakaş, Zeynep

    In this study, the effects on the photocatalytic activities of particles after heat treatment has been applied to cobalt ferrite nanoparticles produced by microwave-assisted combustion method were observed. The heat treatment applied to the samples was produced with only the microwave effect, at temperatures ranging from 300 to 1000°C. Thermogravimetric analysis was performed on the precursor sample in air atmosphere. During this analysis, the gases released up to 1200°C were identified with a Fourier-transform infrared (FTIR) spectrometer integrated into a thermogravimetric analysis system. Then, the cobalt ferrite nanoparticles produced with heat treatments applied at various temperatures were used as a photocatalyst to remove the dyestuff content in synthetic wastewaters prepared by using Astrazon Red GTL textile dye by photocatalytic oxidation, and their photocatalytic activities were compared. In these experiments, the operational parameters for photocatalysis processes were applied as 400 rpm for stirring speed, 50 mg/L for initial contaminant concentration, 0.5 g/L for catalyst dosage, 25°C for temperature, and 4400 μW/cm2 for light intensity. As a result of the experiments, it was observed that the crystal structure of the cobalt ferrite nanoparticles produced with the increase of the applied heat treatment temperature improved significantly. The obtained data show a strong relationship between the structural properties of materials and their photocatalytic activities. In addition, it was determined that the dyestuff in the solution was completely degraded in the experiments, and it was determined that all processes were compatible with the pseudo-first-order kinetic model.

    AtıfScopus4WoS5OpenAlex6
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  • MakaleAçık Erişim2023Scopus SJRQ2
    Exome-Wide Association Study of Competitive Performance in Elite Athletes

    Bulgay, Celal; Kasakolu, Anil; Kazan, Hasan Hueseyin; Mijaica, Raluca; Zorba, Erdal; Akman, Onur; Bayraktar, Isik; Ekmekci, Ridvan; Koncagul, Seyrani; Ulucan, Korkut

    The aim of the study was to identify genetic variants associated with personal best scores in Turkish track and field athletes and to compare allelic frequencies between sprint/power and endurance athletes and controls using a whole-exome sequencing (WES) approach, followed by replication studies in independent cohorts. The discovery phase involved 60 elite Turkish athletes (31 sprint/power and 29 endurance) and 20 ethnically matched controls. The replication phase involved 1132 individuals (115 elite Russian sprinters, 373 elite Russian endurance athletes (of which 75 athletes were with VO2max measurements), 209 controls, 148 Russian and 287 Finnish individuals with muscle fiber composition and cross-sectional area (CSA) data). None of the single nucleotide polymorphisms (SNPs) reached an exome-wide significance level (p < 2.3 x 10(-7)) in genotype-phenotype and case-control studies of Turkish athletes. However, of the 53 nominally (p < 0.05) associated SNPs, four functional variants were replicated. The SIRT1 rs41299232 G allele was significantly over-represented in Turkish (p = 0.047) and Russian (p = 0.018) endurance athletes compared to sprint/power athletes and was associated with increased VO2max (p = 0.037) and a greater proportion of slow-twitch muscle fibers (p = 0.035). The NUP210 rs2280084 A allele was significantly over-represented in Turkish (p = 0.044) and Russian (p = 0.012) endurance athletes compared to sprint/power athletes. The TRPM2 rs1785440 G allele was significantly over-represented in Turkish endurance athletes compared to sprint/power athletes (p = 0.034) and was associated with increased VO2max (p = 0.008). The AGRN rs4074992 C allele was significantly over-represented in Turkish sprint/power athletes compared to endurance athletes (p = 0.037) and was associated with a greater CSA of fast-twitch muscle fibers (p = 0.024). In conclusion, we present the first WES study of athletes showing that this approach can be used to identify novel genetic markers associated with exercise- and sport-related phenotypes.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
    AtıfScopus20WoS23OpenAlex27
    ScopusWeb of SciencePubMedİncele
  • Derleme MakaleAçık Erişim2023Scopus SJRQ1
    Natural products of relevance in the management of attention deficit hyperactivity disorder

    Custódio, Luisa; Vizetto-Duarte, Catarina; Cebeci, Fatma; Özçelik, Beraat; Sharopov, Farukh; Gürer, Eda Sonmez; Kumar, Manoj; Iriti, Marcello; Sharifi-Rad, Javad; Calina, Daniela

    Attention deficit hyperactivity disorder (ADHD) is among the most common neurodevelopmental disorders characterized by motor hyperactivity, attention deficit, distraction, impulsive behavior, and relationship difficulties. It affects children, and thus over the years, there has been growing attention on the use of natural product formulations and their naturally-occurring bioactive for overcoming the problem of ADHD. Concerning this issue, this review aims to discuss the ADHD treatment potential of natural products/formulations in vitro, in vivo as well as in clinical trials. To gather the most relevant data regarding bioactive compounds with potential therapeutic effects in the management of ADHD, the following databases were searched: PubMed/MedLine, ScienceDirect, and Google Scholar for articles in English. Various medicinal plants and their isolated biomolecules have been evaluated in vitro, in vivo, and in clinical trials for their ability to treat ADHD. Most of the analyzed research results showed an improvement of ADHD signs and symptoms in in vivo models, but the molecular mechanisms of action of the bioactive compounds are unclear and incompletely elucidated. Further studies are needed to determine the bioactive compound responsible for health-promoting effects in ADHD. In addition, clinical studies should be performed over longer periods with more participants.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
    AtıfScopus11WoS10OpenAlex11
    ScopusWeb of Scienceİncele
  • Derleme MakaleAçık Erişim2023Scopus SJRQ1
    Individual and interactive effect of ultrasound pre-treatment on drying kinetics and biochemical qualities of food: A critical review

    Pandiselvam, R.; Aydar, Alev Yuksel; Kutlu, Naciye; Aslam, Raouf; Sahni, Prashant; Mitharwal, Swati; Gavahian, Mohsen; Kumar, Manoj; Raposo, Antonio; Yoo, Sunghoon

    One of the earliest and most prevalent processing methods to increase the shelf-life of foods is drying. In recent years, there has been an increased demand to improve product quality while lowering processing times, ex-penses, and energy usage in the drying process. Pre-treatments are therefore effectively used before drying to enhance heat and mass transfer, increase drying efficiency, and lessen degradation of final product quality. When food is dried, changes are expected in its taste, color, texture, and physical, chemical, and microbial properties. This has led to the need for research and development into the creation of new and effective pre-treatment technologies including high-pressure processing, pulsed electric field, ultraviolet irradiation, and ultrasound. Sound waves that have a frequency >20 kHz, which is above the upper limit of the audible frequency range, are referred to as ultrasound. Ultrasonication (US) is a non-thermal technology, that has mechanical, cavitational, and sponge effects on food materials. Ultrasound pre-treatment enhances the drying characteristics by producing microchannels in the food tissue, facilitating internal moisture diffusion in the finished product, and lowering the barrier to water migration. The goal of ultrasound pre-treatment is to save processing time, conserve energy, and enhance the quality, safety, and shelf-life of food products. This study presents a comprehensive overview of the fundamentals of ultrasound, its mechanism, and how the individual effects of ultrasonic pre-treatment and the interactive effects of ultrasound-assisted technologies affect the drying kinetics, bioactive components, color, textural, and sensory qualities of food. The difficulties that can arise when using ultrasound technology as a drying pretreatment approach, such as inadequate management of heat, the employment of ultrasound at a limited frequency, and the generation of free radicals, have also been explained.

    • SDG 2 · Açlığa Son
    AtıfScopus132WoS117OpenAlex133
    ScopusWeb of SciencePubMedİncele
  • MakaleYalnız künye2023Scopus SJRQ1
    Ozone and cold plasma: Emerging oxidation technologies for inactivation of enzymes in fruits, vegetables, and fruit juices

    Mayookha, V. P.; Pandiselvam, R.; Kothakota, Anjineyulu; Ishwarya, S. Padma; Khanashyam, Anandu Chandra; Kutlu, Naciye; Rifna, E. J.; Kumar, Manoj; Panesar, Parmjit S.; El-Maksoud, Ahmed A. Abd

    Inactivation of deteriorative enzymes preserves the quality of fruits and vegetables and extends the shelf-life of fruit juices. Ozonation and cold plasma treatment are recent additions to the thermal and non-thermal methods for enzyme inactivation. However, these techniques stand out in their effectiveness and versatility for the treatment of a wide range of fruits and vegetables. This article appraises the mode of action and applications of ozone and cold plasma for the inactivation of enzymes in fruits, vegetables, and fruit juices. Further, a comprehensive discussion is presented on the influential parameters of enzyme inactivation effectiveness of ozonation and cold plasma processing. Besides, the latter sections of this article highlight the challenges that impose hurdles in the commercial applications of these unconventional techniques and the way forward in improving their efficacy and industrial applications.

    • SDG 2 · Açlığa Son
    AtıfScopus78WoS71OpenAlex70
    ScopusWeb of Scienceİncele