Koleksiyon/r/gumushane/10001

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Koleksiyondaki öğeler

  • MakaleYalnız künye2023Scopus SJRQ1
    SPAN: An open-source plugin for photovoltaic potential estimation of individual roof segments using point cloud data

    Özdemir, Samed; Yavuzdoğan, Ahmet; Bilgilioğlu, Burhan Baha; Akbulut, Zeynep

    Decentralized solar PhotoVoltaic (PV) is one of the most promising energy sources for cities and individuals pursuing energy self-sufficiency. Especially, the already available rooftop surfaces are a major contributor to push for rooftop mounted PV systems. However, accurate PV potential estimation of individual buildings is still a challenging task since many parameters must be considered such as meteorological factors, panel technology, geographical location, available roof surface area, surface azimuth and tilt angle. In this study, we created an efficient approach that can be used for roof surface's PV potential estimation based on point cloud data and capable of processing various scales from single building to city scale. In the proposed approach, each roof surface's features were utilized for PV potential estimation by employing the PVGIS database. PV potential estimation was carried out on daily, monthly, and annual periods to provide a better estimation. Also, we developed a flexible and easy to use open-source plugin based on the QGIS software for rooftop mounted PV potential estimation capable of estimating every roof surface's PV potential. The method was tested on 80 buildings selected from ROOFN3D dataset. The proposed approach achieved an overall accuracy of 84% and an F1 score of 0.92.

    • SDG 7 · Erişilebilir ve Temiz Enerji
    • SDG 9 · Sanayi, Yenilikçilik ve Altyapı
    • SDG 11 · Sürdürülebilir Şehirler ve Topluluklar
    • SDG 13 · İklim Eylemi
    AtıfScopus21WoS18OpenAlex20
    ScopusWeb of Scienceİncele
  • MakaleYalnız künye2023Scopus SJRQ3
    Determination of the Antioxidant Capacity of Puerarin and Its Effect on Cholinesterases by in vitro and in silico Methods

    İnan Ergün, Aslı; Topal, Meryem

    Puerarin, which was used as a natural isoflavone in this study, was obtained from the Kudzu plant. The inhibitory effect of puerarin on acetylcholinesterase (AChE) and butyrylcholinesterase (BChE) enzymes was investigated. The IC50 values of AChE (177.73 nM) and BChE (315.07 nM) were determined. The binding mechanism of puerarin, which has a high inhibitory effect on the active site of the enzyme, was demonstrated by the molecular docking method. The antioxidant activity was evaluated for the same molecule. For this purpose, Fe3+-Fe2+ reducing capacity, ABTS radical scavenging activity, CUPRAC method, DPPH⋅ scavenging activity and DMPD radical scavenging method were used. The percentage (%) inhibition amount of puerarin molecule was calculated as 99.33 % for ABTS radical scavenging activity, which is the more preferred method for natural products. The absorbtion value of iron reduction of Puerarin was 0.122±0.010, and the value of copper reduction was 0.633±0.026. Our research efforts include uncovering the potent antioxidant potential of puerarin and, simultaneously, a comparative study of tacrine, primarily emphasizing its inhibitory effects against AChE and BChE enzymes. The puerarin is expected to be a guide for drug discovery against many problems, especially oxidative cell damage in Alzheimer's disease, mitochondrial dysfunction (MD), cancer, and cardiovascular diseases.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
    AtıfScopus11WoS5OpenAlex9
    ScopusWeb of Scienceİncele
  • BildiriYalnız künye2023
    REGION-TIME-MAGNITUDE ANALYSES OF EARTHQAUKE ACTIVITY IN THE ELBASANI GEOTERMAL ZONE, ALBANIA

    Ormeni, Rrapo; Öztürk, Serkan; Hasimi, Albana; Silo, Erald; Como, Elvin

    A detailed analysis of the b-value within the Elbasani fault zone, Albania, were studied. From instrumental seismicity in this area have been located 1830 seismic events, with magnitude Ml>0.5 Richter. In the zone of Elbasani, hot mineral water (thermal waters) spot out from natural springs which have been known since the 19th century. The statistical properties of seismicity are analysed by using b-value known as Gutenberg-Richter law. The magnitude of completeness (Mc) value is determined as 2.6, and the bvalue is calculated as 1.03 ± 0.06, and it is determined that the region has a normal stress level. It is seen that the Mc-value varies from 1.6 to 2.9, the b-value changes between 0.9 and 1.3. The regions with the large b-values (> 1.0) are estimated in the eastern parts of the of Elbasani zone. However, the regions with the low b-values (< 1.0) are observed in the north, west and southwest of Elbasani zone. The regions with the small b-values correspond to great-magnitude events, whereas the other large values are related to smallmagnitude earthquakes. These results reveal that b-values for all regions are well represented by a b-value typically close to 1.0. There are clear decreasing trends in temporal changes of b-values before the occurrences of some strong main shocks. The lower b-value indicate that there is still moderate stress accumulation in the southwest area of the Llinxha-Kozan thermal water belt. The b-values smaller than 1.0 indicate potential future earthquake area. Following the strong events, there are remarkable decreases in b-value as a function of time. Changes in b-value with time varies in a large band between 0.6 and 1.4. Probabilities of earthquake activity in different magnitude sizes show comparatively great values changing from 50-100 % for earthquakes of 0.5 ≤ Ml≤ 4.5 and the values relatively lower than 90 % for the earthquakes of 5.0 ≤ Ml. The Elbasani zone has a complex geological structure with a significant number of geothermal water resources and some features of seismicity.

    AtıfOpenAlex1
    Scopusİncele
  • MakaleAçık Erişim2023Scopus SJRQ2
    Detection of virulence factor genes, antibiotic resistance genes and biofilm formation in clinical Gram-negative bacteria and first report from Türkiye of K.oxytoca carrying both bla OXA-23 and bla OXA-51 genes

    Özad Düzgün, Azer; Yüksel, Gamze

    The Gram-negative bacteria were isolated from various samples and antibiotic susceptibility testing were performed. The strains were screened by PCR for class 1 integron, virulence and antibiotic resistance genes. blaOXA-23 and blaOXA-51 genes positive samples were cloned into the pGEM-T vector and the plasmids were sent for DNA sequence analysis. The isolates were showed resistance to quinolone, cephalosporin, aminoglycoside, carbapenem and penicillin group antibiotics. Virulence factor genes were identified in 121 strain. The most common virulence gene was determined to be aer (29.78%), followed by sfa (28.19%), afa (27.12%), cnf (21.27%), pap (12.76%) and hly (12.76%). In addition, 34 different virulence patterns were observed. Plasmid-mediated quinolone resistance genes were detected 15 of67 quinolone-resistant isolates. Among carbapenem resistant strains, blaOXA-23 gene was detected in 16 and blaOXA-51 gene in 19 isolates. The strains producing OXA-23 and OXA-51 were Klebsiella oxytoca, Acinetobacter baumannii, E.coli and P.mirabilis. In this study, clinical isolate K. oxytoca carrying both blaOXA-23 and blaOXA-51 genes were identified first time from Türkiye. A high predominance (88.82%) of class 1 integron was detected. In addition, determined that 46.27% of the isolates had the ability to form biofilms. In conclusion since the limited treatment options of antibiotic-resistant Gram-negative pathogens that cause serious infections are an important problem in terms of public health it is important to investigate antibiotic resistance, virulence factor genes and biofilm formation in these pathogens.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
    AtıfScopus4WoS3OpenAlex4
    ScopusWeb of Scienceİncele
  • Kitap BölümüYalnız künye2022
    Evaluation of the disaster tourism potential of countries

    Göktekin, Zekiye; Şimşek, Ahmet Bahadir

    Disasters are tragic events that cause losses. The curiosity of people to feel sadness and pain motivates disaster tourism. Each disaster region has the potential for disaster tourism, which offers various benefits. This chapter covers the evaluation of the disaster tourism potential of countries with the fuzzy-TOPSIS method. The criteria affecting the disaster tourism potential as the number of dead, injured, affected, and homeless people were weighted according to the evaluations of the decision-makers. Disasters that occurred worldwide between 1980-2022 were analyzed with the criteria weights based on the countries where they occurred. Decision-makers mostly evaluated the number of deaths and homeless as more effective in affecting the desire to visit a disaster area and the attractiveness of the region. Among 90 countries, it has been determined that Sri Lanka and the Russian Federation are the two countries with the highest disaster tourism potential as to the number of losses/disasters, while Ethiopia is the country with the lowest disaster tourism potential.

    AtıfScopus1OpenAlex1
    Scopusİncele
  • Derleme MakaleAçık Erişim2022Scopus SJRQ4
    Suspicious activity recognition for monitoring cheating in exams

    Genemo, Musa Dima

    Video processing is getting special attention from research and industries. The existence of smart surveillance cameras with high processing power has opened the for making it conceivable to design intelligent visual surveillance systems. Know a day it is very possible to assure invigilators safety during the examination period. This work aims to distinguish the suspicious activities of students during the exam for surveillance examination halls. For this, a 63 layers deep CNN model is suggested and named "L4-BranchedActionNet". The suggested CNN structure is centered on the alteration of VGG-16 with added four blanched. The developed framework is initially turned into a pre-trained framework by using the SoftMax function to train it on the CUI-EXAM dataset. The dataset for detecting suspicious activity is subsequently sent to this pre-trained algorithm for feature extraction. Feature subset optimization is applied to the deep features that have been obtained. These extracted features are first entropy coded, and then an ant colony system (ACS) is used to optimize the entropy-based coded features. The configured features are then input into a variety of classification models based on SVM and KNN. With a performance of 0.9299 in terms of accuracy, the cubic SVM gets the greatest efficiency scores. The suggested model was further tested on the CIFAR-100 dataset, and it was shown to be accurate to the tune of 0.89796. The result indicates the suggested frameworks soundness.

    • SDG 16 · Barış, Adalet ve Güçlü Kurumlar
    AtıfScopus33WoS16OpenAlex47
    ScopusWeb of Scienceİncele
  • MakaleYalnız künye2023Scopus SJRQ1
    Hydrocarbon reservoir depth identification in the eastern black sea basin: Implications from euler deconvolution and gravity tensor invariants

    Doğru, Fikret; Maden, Nafiz

    The Black Sea Basin (BSB) consisting of Eastern Black Sea (EBS) and Western Black Sea (WBS) basins which separated by the Mid Black Sea High (MBSH) is formed by the collision of Eurasia and Arabian-African Plates. Petroleum and gas hydrate contents of the BSB have been discussed by using different geological and geophysical research. In this study, the gravity gradient tensor and invariant data based on the Bouguer gravity anomaly of the EBS basin were evaluated to define the hydrocarbon reservoirs. Afterwards, Euler deconvolution technique is applied to the invariant to reveal the depth of subsurface bodies. Furthermore, the significant invariant anomalies are compared with known oil seepage and petroleum wells. The depth values of oil trace closest to the known Sürmene and Hopa drill holes were computed as 4809 m, and 4455 m according to the structural index values of SI = 2.

    AtıfScopus4WoS4OpenAlex5
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  • MakaleYalnız künye2023Scopus SJRQ3
    Mechanical Properties of Shotcrete Produced with Recycled Aggregates from Construction Wastes

    Külekçi, G.; Çullu, M.; Yilmaz, A.O.

    Abstract: This study examines the usability of concrete wastes generated from buildings demolished for various reasons in shotcrete. The strength properties of shotcrete produced from recycled aggregates (RA), cylinder specimen and plate specimen were tested. it was observed that as the ratio of RA used instead of natural aggregate increases, the strength of the cylinder specimen decreases, ultrasonic pulse velocity increases. The toughness value has increased in the concrete samples prepared by replacing the natural aggregate with 50% or more RA. It was observed that the fiber amount and load carrying capacity were proportional in fiber reinforced plates prepared using RA. As a result, it has been observed that the interaction of RA with fiber is positive and it can be used in shotcrete. It has been revealed that RA can contribute to the reduction of environmental pollution caused by construction and wreckage wastes and can be presented as an alternative to natural aggregate.

    • SDG 12 · Sorumlu Üretim ve Tüketim
    AtıfScopus7WoS6OpenAlex10
    ScopusWeb of Scienceİncele
  • MakaleAçık Erişim2024
    Rheological properties of pestil enriched wheat, potato and corn flour using simplex lattice mixture design

    Yuksel, Ferhat; Yavuz, Busra; Tunç, Merve Tuğçe

    In this study, pestil was made using various concentrations of wheat, corn, and potato flours and the ideal flour combination amounts were determined using the simplex lattice mixture design technique. The apparent viscosity, G' (elastic modulus), G'' (viscous modulus), and tan δ (G''/G') analyses were determined. In all samples, it is seen that viscosity reduces while shear rate increases. This type of behaviour is pseudoplastic behaviour. While the highest apparent viscosity was observed in the 13th sample (12 g/100 g potato flour), the lowest was seen in the 11th sample (12 g/100 g wheat flour). In all samples, the elastic modulus (G') was higher than the viscous modulus (G''). The ANOVA table shows that linear data have a significant (p<0.05) effect on apparent viscosity, G', G'', and tan δ values. In general, formulations using potato flour show higher apparent viscosity values. Also, it is observed that the tan δ, G', G'' and apparent viscosity values increase with the addition of potato flour.

    • SDG 2 · Açlığa Son
  • MakaleAçık Erişim2024Scopus SJRQ1
    Integration of a CNN-based model and ensemble learning for detecting post-earthquake road cracks with deep features

    Reis, Hatice Catal; Turk, Veysel; Karacur, Soner; Kurt, Ahmet Melih

    A safe and healthy infrastructure is essential for humanity. Maintenance and repair of roads, which are of great importance, especially in transportation, is essential. Roads can sometimes be damaged due to natural disasters or human factors. In this study, roads damaged as a result of the natural disaster and the 6 February 2023 Gaziantep-Kahramanmaras earthquakes, which had devastating/fatal consequences, were studied. In recent years, the use of machine learning methods in the automatic detection process of road cracks has become widespread. Here, deep learning architectures generally based on multilayer convolutional neural networks have become a popular solution, mainly thanks to their high discrimination power in visual data. In this study, it was aimed to automatically detect cracks on the roads in Gaziantep (Nurdagi) and Adiyaman provinces after the earthquake. The data set used in the experimental process consists of two categories: uncracked and cracked, and was collected by the researchers. ResNet152 deep learning architecture, traditional machine learning algorithms, and an ensemble learning (EL) model were used to classify cracks. Among the machine learning algorithms used in the experiments are support vector machine (SVM), K-nearest neighbors, Adaptive Boosting, and Naive Bayes. In the experimental process, ResNet152 architecture was used for feature extraction, and classification was carried out with machine learning algorithms. In addition, the EL method has been used to improve the success of machine learning algorithms. According to experimental results, the SVM algorithm and EL method gave the most successful results with 98.68% accuracy values. The proposed method can benefit experts in the automatic classification of road cracks. The study can contribute to activating rapid coordination and transportation networks in natural disasters that cause fatal and destructive causes, such as earthquakes.

    • SDG 9 · Sanayi, Yenilikçilik ve Altyapı
    • SDG 11 · Sürdürülebilir Şehirler ve Topluluklar
    AtıfScopus19WoS16OpenAlex13
    ScopusWeb of Scienceİncele
  • BildiriYalnız künye2023
    An Efficient 1D Autoencoder-Based Approach for R-Peaks Detection in Electrocardiogram Signals

    Dogan, Ramazan Ozgur; Dogan, Hulya; Kayikcioglu, Temel

    Electrocardiogram (ECG) signal which is composition of multiple segments such as P-wave, QRS complex and T-wave plays a crucial role in evaluating human heart cardiac diagnosis. For an analysis of cardiac diagnosis, it is required that clinicians scan the ECG signal for R-peaks (the highest peak of the QRS complex) detection, which relies on their expertise and takes enormous time. In order to provide more realistic treatment of cardiovascular diseases in the ECG signal with noises and different characteristics, computer-based R-peaks detection approaches have been actively developed in the research article for many years and generally compose of two major operations; preprocessing and decision. Contrary to previous approaches which require high computational costs and complexity, appropriate initial parameters, a novel CNN based approach is presented for R-peaks detection in this paper. Both qualitative and quantitative analysis are performed in the real ECG signal taken from typical MIT-BIH arrhythmia database. In order to validate the success of the recommended approach, total 18 different R-peaks detection approaches reported in the literature are compared by utilizing performance evaluation metrics. Average values of sensitivity, positive predictivity, error rate, accuracy and f-score are computed as 99,96%, 99,95%, 0,09%, 99,90% and 99,95% respectively, which are the best values among well-established studies for R-peaks detection. It is demonstrated with qualitative and quantitative results that better performance is achieved by our suggested approach.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
    AtıfScopus2OpenAlex2
    Scopusİncele
  • MakaleYalnız künye2023Scopus SJRQ3
    Geochemical characterization of late Jurassic–early Cretaceous age limestones from Gümüşhane (NE-Türkiye): identification of the source of organic matter and paleo-environment conditions

    Eker, Çiğdem Saydam; Arı, Uğur Volkan

    Samples from late Jurassic–early Cretaceous age limestones in five different areas in the Gümüşhane region (NE-Türkiye), were studied using TOC/Rock–Eval, and some trace elements analysis, to evaluate their organic material source, type, thermal maturity, and paleo-environment conditions. The studied carbonate rocks are characterized by 90 m thick in the Bağlarbaşı section, 420 m in the Gülaçar, 584 m in the Ünlüpınar, 375 m in the Mescitli, and 272 m in the Yuvacık. The carbonate rocks are generally represented by, from bottom to top, dolomite, oolitic, sparitic, sandy, micritic, clayey, and bituminous limestones. Average total organic carbon (TOC) values are 0.14, 0.16, 0.20, 0.12, and 0.20% in the Bağlarbaşı, Gülaçar, Ünlüpınar, Mescitli, and Yuvacık sections, respectively. Organic material in the limestones consists of Type II-III kerogen, indicating that a mixture of terrigenous higher plants–marine aquatic organisms was the main source. Average Tmax values and Tmax-based vitrinite reflectance values (Ro %) are calculated as 435 and 0.67, 444 and 0.83, 431 and 0.60, 442 and 0.79, and 437 °C and 0.70 in the Bağlarbaşı, Gülaçar, Ünlüpınar, Mescitli, and Yuvacık sections, respectively, indicating that the samples have generally reached thermal maturity. The limestones in the Gülaçar, Mescitli, and Yuvacık areas are probably well-drained rocks that were extracted and originated hydrocarbon efficiently from the limestone fractures. In general, a non-marine–sometimes marine deposition environment for the carbonates is indicated by total sulfur values. V/Ni and Sr/Ba ratios indicate a stratified water column with high–low salinity and anoxic–oxic bottom water circumstances and accordingly a transitional sedimentation environment.

    AtıfScopus10WoS9OpenAlex11
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  • MakaleYalnız künye2024Scopus SJRQ3
    Development of a New and Facile Carrier Element-Free Coprecipitation Procedure for Separation, Preconcentration and Sensitive Determination of Cu(II) and Cd(II) Ions in Water and Vegetable Samples

    Duran, Celal; Ozdes, Duygu; Mentese, Emre; Bektas, Hakan

    A facile and sensitive method predicated on carrier element free coprecipitation (CEFC) using 2-(2-(2-(4-bromobenzyl)-1H-benzo[d]imidazole-1-yl)acetyl)-N-ethylhydrazine-1-carbothioamide (BIMANEC) is reported for trace determination of Cu(II) and Cd(II) in vegetables and water. BIMANEC was used for the first time for the quantitative determination of these trace heavy metals. Flame atomic absorption spectrometer (FAAS) was used for quantitation. The preconcentration conditions were optimized with respect to pH (8.0), BIMANEC mass (4.0 mg), volume of sample (100 mL), standing time (5 min), and centrifugation time and rate (3 min and 2500 rpm). The influence of potentially interfering ions was scrutinized for the recovery of analyte ions. Under the optimum conditions, the limits of detection (LODs) were 0.51 and 2.28 µg L−1 for Cu(II) and Cd(II), respectively. The relative standard deviations were < 5% for both. The recoveries from the spiked vegetable samples were from 94.9 to 102.8% and from the spiked water samples between 93.2 and 101.6%. Consequently the developed new, facile, rapid, and highly efficient CEFC process was employed for the trace determination of Cu(II) and Cd(II).

    AtıfScopus6WoS8OpenAlex7
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  • Kitap BölümüYalnız künye2024
    Behavioral economics and Monetary Wisdom: The Enron Effect—Love of money, Corporate Ethical Values, Corruption Perceptions Index (CPI), and dishonesty across 31 geopolitical entities

    Tang, Thomas Li-Ping; Sutarso, Toto; Ansari, Mahfooz A.; Lim, Vivien Kim Geok; Teo, Thompson Sian Hin; Arias-Galicia, Fernando; Garber, Ilya E.; Chiu, Randy Ki-Kwan; Charles-Pauvers, Brigitte; Luna-Arocas, Roberto

    Monetary Wisdom asserts that individuals apply their deep-rooted values (the love of money attitudes, avaricious monetary aspirations) to frame critical concerns in the immediate-proximal and omnibus-distal contexts and strategically select certain options to maximize expected utility and ultimate serenity across context, people, and time at the individual, organizational, and national-global levels. This study explores the dark side of decision-making, e.g., avaricious monetary aspirations and corruption (dishonesty). Corruption involves greed, money, and risky decision-making. It is a risky prospect, involving a cost-benefit analysis of self-interest. We frame good or bad barrels in the environmental context as a proxy of high or low probability of getting caught for dishonesty, respectively. We theorize: Two levels of the subjective norm—perceived Corporate Ethical Values at the micro level (CEV, Level 1) and Corruption Perceptions Index at the macro level (CPI, Level 2), collected from multiple sources, jointly impact the magnitude and intensity of the relationships between love of money and dishonesty. Based on 6382 managers in 31 geopolitical entities across 6 continents, our cross-level three-way interaction effect illustrates the following discoveries: As expected, managers in good barrels (high CEV/high CPI), mixed barrels (low CEV/high CPI or high CEV/low CPI), and bad barrels (low CEV/low CPI) display a low, medium, and high magnitude of dishonesty, respectively. Context matters. With high CEV, the intensity is the same across cultures. With low CEV, the intensity of dishonesty is the highest in high CPI entities (risk seeking in the high probability context)—the Enron Effect, but the lowest in low CPI entities (risk aversion in the low probability context). Interestingly, CPI has a strong impact on the magnitude of dishonesty, whereas CEV has a strong impact on the intensity of dishonesty. We demonstrate dishonesty in light of monetary values and two frames of social norms, revealing critical implications to the field of business ethics. This chapter makes robust theoretical and practical contributions to Monetary Wisdom and business ethics.

    • SDG 16 · Barış, Adalet ve Güçlü Kurumlar
    AtıfScopus2OpenAlex1
    Scopusİncele
  • Derleme MakaleYalnız künye2020Scopus SJRQ3
    Buckwheat: A useful food and its effects on human health

    Yilmaz, Hacı Ömer; Ayhan, Nurcan Yabanci; Meriç, Çağdaş Salih

    Buckwheat is a plant used for many purposes, such as consumed as a food and used in the treatment of diseases. It is a good source of many vitamins and minerals and has balanced nutritional value. Because of its nutrient content and many positive effects on human health, buckwheat has become a functional food, recently. Main effects of buckwheat on human health are its hypotensive, hypoglycemic, hypocholesterolemic, neuroprotective and antioxidant effects. Thus, it is considered an alternative food component in dietary treatment for chronic and metabolic diseases, such as diabetes, hypertension and celiac disease. Also, its rich nutrient content supports daily diet and provides a better eating profile. As a result, buckwheat is accepted as a functional food, suggested to improve human health and is used in the treatment of diseases. The aim of this review is to explain some positive effects of buckwheat on human health.

    • SDG 2 · Açlığa Son
    • SDG 3 · Sağlık ve Kaliteli Yaşam
    AtıfScopus64WoS43OpenAlex63
    ScopusWeb of Scienceİncele
  • MakaleYalnız künye2023Scopus SJRQ2
    Worry about Climate Change of Outdoor Recreation Participants: A Case Study in Türkiye

    Aslan, Ramazan; Köçer, Musab Süleyman; Mizrak, And Sefa

    Anthropogenic climate change (ACC) is considered to be one of the biggest threats to humanity in this century, with severe direct or indirect impacts on people’s lives. Such a significant threat causes serious concern, which can motivate low-level proenvironmental behavior and lead to serious health problems at high levels. Therefore, determining the level of this concern is crucial. Outdoor recreation participants, who are constantly in contact with nature, can closely witness the effects of ACC due to these interactions. Therefore, evaluating their ACC worry is essential. In this study, the aim was to determine the ACC worry levels of outdoor recreation participants. The research data were collected through an online survey from a sample reached through convenience sampling method throughout Türkiye. The data were analyzed using analysis of moment structures (AMOS) and Statistical Package for the Social Sciences (SPSS) software. The relationship between independent variables and ACC concern was revealed through ordinal logistic regression. The research found that the participants had a high level of concern about ACC, with a score of 3.50. It was also determined that this level of concern was influenced by variables such as the type of outdoor recreation, the duration of participation in outdoor recreation, and exposure to the effects of ACC. Considering that ACC can motivate proenvironmental behaviors, the research suggests that outdoor recreational participants with high levels of concern about ACC should not be ignored in the adaptation process.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
    AtıfScopus4WoS4OpenAlex5
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  • BildiriYalnız künye2023
    Analysis Of The Performance Of The Distributed Maximum Power Point Tracking In Building Integrated Photovoltaic Systems

    Basoglu, Mustafa Engin

    Building-integrated/applied photovoltaic (PV) systems have been widespread recently in terms of electrical energy generation in buildings. These systems are applications with much lower power than land type large-scale systems, addressing the area/building where they are installed rather than centralized production. In this framework, maximum power point (MPP) tracking (MPPT) approaches at module level and sub-module level, balcony railing, Carport or solar tile etc. will be investigated in terms of building integrated PV systems (BIPV). Solar panels act as a building material, insulation material and energy generator in BIPV applications. In building-applied (BAPV) examples, the solar panel is mounted on the building. However, there is no difference between BIPV and BAPV in terms of electrical model. A unique method will be developed for MPPT at module level and sub-module level for such applications. Depending on the power processing strategy in the optimizer power stage, amplifier, synchronous reducer or bidirectional differential power processing topologies will be examined and the most suitable power converter for the module and sub-module level will be determined. Technically, comparisons of the performances of MPPT strategies were made in the MATLAB/Simulink program at the central, module level or sub-module level, and it was shown that the power that can be obtained from the PV module or sub-module increases with the MPPT at the module and sub-module level.

    • SDG 7 · Erişilebilir ve Temiz Enerji
    • SDG 9 · Sanayi, Yenilikçilik ve Altyapı
    AtıfScopus1OpenAlex2
    Scopusİncele
  • MakaleYalnız künye2021Scopus SJRQ1
    Geo-spatial multi-criteria evaluation of wave energy exploitation in a semi-enclosed sea

    Şan, Murat; Akpınar, Adem; Bingölbali, Bilal; Kankal, Murat

    The present study aims to determine priority areas for installation of wave energy converters (WECs) in a semi-enclosed sea using a multi-criteria, spatial, decision-making analysis based on geographical information systems (GIS). The study also suggests a new methodology for determination of suitable areas for WECs taking into consideration different extreme wave conditions, intra-annual variation of wave conditions, and operational range of wave conditions by the WECs. A case study over a distance of 1140 km along the coast in the southwest Black Sea is presented. In the multi-criteria analysis, areas with environmental, economic, technical and social constraints are excluded. Ocean depth, distance to ports, shore, power line, and sub-station, wave climate, and sea-floor geology are all evaluated for their impact on the system implementation and weighted according to their relevance. Thus, the final suitability index (SI) map is produced and spatial statistical significance of the suitable areas is checked using hotspot analysis. Based on this, Kırklareli coastal area and the area between İğneada Cape and Kıyıköy village are determined as primary priority areas. The sustainability parameters with different weights proposed in this study do not differentiate priority areas but affect the SI scores.

    • SDG 7 · Erişilebilir ve Temiz Enerji
    • SDG 9 · Sanayi, Yenilikçilik ve Altyapı
    • SDG 13 · İklim Eylemi
    • SDG 14 · Sudaki Yaşam
    AtıfScopus33WoS27OpenAlex30
    ScopusWeb of Scienceİncele
  • MakaleYalnız künye2020Scopus SJRQ2
    Synthesis of Microwave-Assisted Fluorescence Carbon Quantum Dots Using Roasted–Chickpeas and its Applications for Sensitive and Selective Detection of Fe3+ Ions

    Başoğlu, Aysel; Ocak, Ümmühan; Gümrükçüoğlu, Abidin

    A simple method for the green synthesis of fluorescent carbon quantum dots (CQDs) has been developed by using roasted chickpea as carbon source in one-step without using any chemical. Interestingly, not only the carbon source of CQDs and the whole synthesis procedure are environmentally friendly, but also the synthesized CQDs have shown many advantageous properties such as high fluorescence intensity, excellent photostability, and good water solubility. CQDs which were firstly synthesized from roasted–chickpeas by a microwave-assisted pyrolysis have been characterized using UV-vis absorption spectroscopy, fluorescence spectroscopy, fourier transform infrared spectroscopy (FTIR) spectroscopy, X-ray diffraction (XRD) technique and transmission electron microscopy (TEM). In addition, the details of the structure have been revealed by the electron diffraction (SAED; selected-area electron diffraction) method based on the TEM images. The synthesized CQDs emits blue fluorescence under UV light (at 365 nm). A microwave oven (350 watts) was used to prepare CQDs in 120 s. The effect of various metal ions on the fluorescence intensity of CQDs was investigated in order to determine its utality in the detection of metal ions. It was determined that 1.38 mg/L of Fe3+ ions quenched the fluorescence intensity of the CQDs by 65%. The linear range is observed between 11.25 and 37.50 μM with limit of detection (LOD) and limit of quantification (LOQ) of 2.74 μM and 8.22 μM, respectively. CQDs which are highly selective and sensitive for Fe3+ ions was used to determine Fe3+ ions in certified reference material (CRM-SA-C). Fe3+ ions concentration was determined with precision values of more than 95% as intra-day and inter-day relative standard deviation (RSD%) is 5 at room temperature.

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  • MakaleAçık Erişim2024Scopus SJRQ2
    Investigation of Antibiofilm and Antibacterial Properties of Green Synthesized Silver Nanoparticles from Aqueous Extract of Rumex sp.

    Akay, Seref; Yüksel, Gamze; Özad Düzgün, Azer

    The decrease in the effectiveness of conventional drugs as a result of the growth of resistance to antibiotics has increased the need for innovative tools to control the infections. At this point, metallic nanoparticles, in particular silver nanoparticles, have appeared as a promising method. In the current study, the extract of Rumex sp. (Labada, dock) leaves was used as a reducing agent for the formation of silver nanoparticles. Unlike similar studies, in this study the synthesis conditions were optimized by changing the extract ratio and silver nitrate concentration. Morphological investigations of synthesized silver nanoparticles showed that spherical homogeneous particles at size under 100 nm had been produced. SEM/EDS and FTIR analyses showed that plant components are involved in the synthesis of nanoparticles. It was also determined that higher extract ratio reduced nanoparticle size. The antimicrobial effects of the synthesized nanoparticles against Gram-positive and Gram-negative bacteria were tested, and it was determined that all nanoparticles exhibited activity against both groups. Rumex sp. silver nanoparticles (NPs) were revealed to exhibit antibiofilm activity against three different isolates with moderate and strong biofilm-forming ability. The NPs reduced the biofilm-forming capacity of Acinetobacter baumannii and Klebsiella pneumonaie by 2.66-fold and 3.25-fold, whereas they decreased the Escherichia coli biofilm-forming capacity by 1.25-fold. The investigation of microbial biofilm could play an important role in developing new strategies for treatment options. Our results suggest that Rumex sp. silver NPs may have a high potential for use in the treatment of pathogenic strains.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
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