Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Uzun, Sevda(77)
- Merdan, Mehmet(73)
- Duran, Celal(54)
- Ozdes, Duygu(50)
- Baltaci, Cemalettin(45)
- Kaygusuz, Abdullah(45)
- Kulakaç, Nurşen(39)
- Ashyralyyev, Charyyar(38)
- Karsli, Orhan(37)
- Demir, Selim(36)
- Öztürk, Serkan(36)
- Dokuz, Abdurrahman(35)
- Turan, Ibrahim(35)
- Araz, Onur(33)
- Kandemir, Raif(31)
- Sipahi, Ferkan(30)
- Topal, Fevzi(30)
- Kurt, Kemal(28)
- Peker, Iskender(28)
- Arslan, Mehmet(27)
- Baltacı, Cemalettin(27)
- Maden, Nafiz(27)
- Ozturk, Samet(27)
- Aydin, Aydanur(26)
- Vural, Alaaddin(26)
- Bayrakdaroglu, Serdar(25)
- Kurnaz, Muammer(25)
- Reis, Hatice Catal(25)
- Akar, Zeynep(24)
- Aydin, Faruk(24)
- Gücer, Mehmet Ali(24)
- Topal, Meryem(24)
- Yolcu, Halil(24)
- Yücel, Cem(24)
- Anaç, Halil(23)
- Kankal, Murat(23)
- Ürkek, Bayram(23)
- Aliyazicioglu, Yuksel(22)
- Günen, Mehmet Akif(22)
- Tuncer, Metin(22)
Yayınlar
- Kitap BölümüYalnız künye2022Technology Application in Turkey’s Tourism Industry
Akdu, Uğur; Akdu, Serap
Today, many sectors continue to offer innovations in order to make people’s lives easier in the digitalized world with technological developments. Thus, more interactive, faster, and easier-to-reach services can be offered; people can reach and experience many things that were previously called inaccessible and can also save time and cost. A sector that benefits from the digital world that offers many opportunities to humanity is the tourism sector. Destinations who want to avoid competitors in an intensely competitive environment by differentiating their services, wishing to increase the pleasure that people receive from their holiday experiences worldwide, and that offer their touristic values to people with different methods strive to achieve its goals by using various digital technologies. This chapter focuses on the technology and digital innovation used in Turkey’s tourism sector. In this context, technologies used in the tourism sector are briefly explained, and examples of applications are given and scrutinized in Turkey.
- MakaleAçık Erişim2022Scopus SJRQ3COVID-19 diagnosis with deep learning; [Diagnóstico de COVID-19 con Deep Learning]
Reis, Hatice Catal
The coronavirus disease 2019 (COVID-19) is fatal and spreading rapidly. Early detection and diagnosis of the COVID-19 infection will prevent rapid spread. This study aims to automatically detect COVID-19 through a chest computed tomography (CT) dataset. The standard models for automatic COVID-19 detection using raw chest CT images are presented. This study uses convolutional neural network (CNN), Zeiler and Fergus network (ZFNet), and dense convolutional network-121 (DenseNet121) architectures of deep convolutional neural network models. The proposed models are presented to provide accurate diagnosis for binary classification. The datasets were obtained from a public database. This retrospective study included 757 chest CT images (360 confirmed COVID-19 and 397 non-COVID-19 chest CT images). The algorithms were coded using the Python programming language. The performance metrics used were accuracy, precision, recall, F1-score, and ROC-AUC. Comparative analyses are presented between the three models by considering hyper-parameter factors to find the best model. We obtained the best performance, with an accuracy of 94,7%, a recall of 90%, a precision of 100%, and an F1-score of 94,7% from the CNN model. As a result, the CNN algorithm is more accurate and precise than the ZFNet and DenseNet121 models. This study can present a second point of view to medical staff.
AtıfScopus5WoS1OpenAlex6
İncele - MakaleYalnız künye2022Scopus SJRQ3Evaluation of single particle drying characteristics using drying models and curve fitting
Celen, Pinar; Erdem, Hasan H; Pusat, Saban
In this study, Turkish lignite dried with hot air and superheated steam was experimentally investigated. Drying experiments were carried out at 120°C drying temperature and atmospheric pressure. Mass, center and surface temperature changes of lignite having a diameter of 30 mm were continuously measured. Hot air and superheated steam drying methods were compared, and it was found that, because of condensation in the initial stage of superheated steam, the moisture content of the lignite sample temporarily increased. On the contrary, the moisture content of the lignite sample dramatically reduced on drying with hot air. Six different thin-layer models describing the drying kinetics of lignite were fitted to the experimental data, with the Pusat model giving the best predictions with superheated steam drying and the Midilli model giving the best predictions with hot air drying of a single particle.
- MakaleYayıncıda açık erişim2022Scopus SJRQ2Tectonic and structural characteristics of Erzurum and its surroundings (Eastern Turkey): a detailed comparison between different geophysical parameters
Özer, Çağlar; Öztürk, Serkan; Pamuk, Eren
The tectonic and structural properties of Erzurum and its surroundings have been investigated by evaluating the seismo-tectonic b-value, magnetic anomaly, edge detection analysis (total horizontal derivative (THDR) and tilt angle (TA)), Curie Point Depth (CPD), P-wave velocity (Vp), and Vp / Vs (S-wave velocity) ratio and by imaging the regional distributions of these parameters. For this purpose, all parameters have been combined to be able to reveal the new useful results on the study region and are presented for different locations and depths. The Vp values have been accompanied by high Vp / Vs ratios and shallow CPD values in the areas with geothermal regions such as Tekman, Söylemez, and the northern part of Karlıova. In the tectonically active regions such as Ilıca, Dumlu, Pasinler, Çat, Karlıova and Karaçoban, high reduction-to – the-pole (RTP) total magnetic anomaly was accompanied by low Vp values in harmony. Besides, the low Vp values between 0 and 10 km and high b-values can be related to the weakness zones and the areas in which earthquake hazards are high in the study area. The low Vp values in the 0 km horizontal slice are in accordance with the high RTP total magnetic anomaly values in the triangle area between Aşkale, Ilıca-Dumlu-Pasinler, Narman, and Karaçoban. Uniformly, high Vp and low RTP total magnetic anomaly inclusions overlap in Çat and Tekman. In some regions such as Dumlu, Narman, Horasan, Karaçoban and south of Karlıova, the tilt angle values are positive (positive values in the tilt angle map correspond to the center of the structure causing the magnetic anomaly) and the Vp values are low, but there is not a complete harmony between these parameters. These results show that variations on these parameters are related to each other, and these types of geophysical data are required for tectonic and structural features at different locations and depth levels.
AtıfScopus12WoS11OpenAlex8TR Dizin1
İncele - MakaleYalnız künye2022Scopus SJRQ1GIS-based determination of potential instabilities and source rock areas on the Torul-Kürtün (Gümüşhane) motorway, rockfall, and protection structure analyses
Alemdag, Selcuk; Bostanci, Hasan Tahsin; Gacener, Elif
The Torul-Kürtün-Tirebolu motorway, one of the alternative routes for access between the Eastern Anatolia Region and the Black Sea Region, has an important traffic potential in this respect. However, rockfall events that occur frequently in almost every season especially in the part of the route between Torul and Kürtün may occasionally cause loss of life and property and lead to disruption in transportation in a much more common way. Departing from this point, the parts of the motorway that pose a greater threat in terms of slope instability and rockfall potential were selected as the study area. Instability maps produced by the kinematic analysis results showed that the probability of toppling type failure in the study area was quite higher, while the general results were as follows: the probability of toppling type failure was found in 204 different locations and approximately 97,900 m2 of area. Taking account of geographic information system (GIS)–based final instability maps, profile lines were determined for potential rockfalls in the instability-intense source rock areas. The profile lines which were determined were analyzed two-dimensionally in the RocFall 7.0 computer program. The rockfall analyses revealed that the rolling rock blocks in the section SP7 shall remain on the surface of the slope, while the rock blocks in other sections shall reach the road route. The application of barrier types determined by barrier sensitivity analysis on profile lines will minimize or completely prevent potential hazards.
AtıfScopus13WoS12OpenAlex17İncele - MakaleYalnız künye2022Scopus SJRQ1Performance comparison of deep learning and machine learning methods in determining wetland water areas using EuroSAT dataset
Günen, Mehmet Akif
Wetlands are critical to the ecology because they maintain biodiversity and provide home for a variety of species. Researching, mapping, and conservation of wetlands is a challenging and time-consuming process. Because they produce temporal and geographical information, remote sensing and photogrammetric approaches are useful tools for analyzing and managing wetlands. In this study, the water areas of five different wetlands obtained with Sentinel-2 images in Turkey were classified. Although obtaining large amounts of high-dimensional dataset labeled for various land types is costly, it is a significant advantage to use it after model training in a wide range of applications. In this paper, the EuroSAT dataset was used in the validation process. Proposed deep learning–based 1D convolutional neural networks (CNN) and traditional machine learning methods (i.e., support vector machine, linear discriminant analysis, K-nearest neighborhood, canonical correlation forests, and AdaBoost.M1) were compared quantitatively (i.e., accuracy, recall, precision, specificity, F-score, and image quality assessment metrics) and qualitatively. Finally, pairwise comparison was made with chi-square-based McNemar’s test. There is a statistical difference between 1D CNN and machine learning method (except the support vector machine vs linear discriminant analysis in Test 1 area). CNN models outperform machine learning algorithms in terms of non-linear function approximation and the ability to extract and articulate data features. Since 1D CNNs can process data in a highly complex and unique feature space, they are very successful in segmenting strongly related and highly correlated discrete signals. It also has advantages over machine learning methods for water body extraction in that it can be integrated with sophisticated image pre-processing and standardization tools, is less susceptible to low-level random noise, and provides shift in variations and contrast-invariant image local transforms.
AtıfScopus74WoS53OpenAlex72
İncele - BildiriYalnız künye2022Scopus SJRQ4Assessment of Rapid Urbanization Effects with Remote Sensing Techniques
Yagmur, Nur; Dervisoglu, Adalet; Bilgilioglu, B. Baha; Ahmed, M.B.; Boudhir, A.A.; Kara, I.R.; Jain, V.; Mellouli, S.
Istanbul is the most populous city in Turkey. The population, which was approximately 5.5 million in 1985, has reached 15.5 million in 2020. Population growth is the most important factor behind human activities that put pressure on the environment. An increasing population means depletion of limited resources, increasing environmental problems, and rapid urbanization. In parallel with the increase in population and urbanization, there has also been an increase in demand for housing, leading to new residential areas in almost every district of Istanbul. This study examined the transformation from vegetation areas to residential areas between 1985 and 2020 in a selected region in Buyukcekmece, one of the 39 districts of Istanbul. The relationship between land use and land cover (LULC) change in the area and Land Surface Temperature (LST) change caused by urbanization was analyzed. It is seen that the built-up area has increased from 57.1 ha to 781.4 ha in 35 years. In every five years, an increase in surface temperatures was determined in parallel with increasing urbanization, and this increase was determined as about 5.4℃ from 1985 to 2020. Also, when the temperature data of the Buyukcekmece Meteorological station is analyzed, it is seen that there has been an increase of approximately 2 ºC in air temperatures in the last five years. In addition, movements were observed in the stability of structures in rapid urbanization areas after analyzing with the PSI time series InSAR method. The main causes were determined as construction sites around the buildings and geological conditions of the ground, which are triggered by urbanization.
AtıfScopus1OpenAlex2İncele - MakaleAçık Erişim2022Scopus SJRQ3MULTIPLICATIVE CHEBYSHEV DIFFERENTIAL EQUATIONS AND MULTIPLICATIVE CHEBYSHEV POLYNOMIALS
Yalcin, Numan
In this work, the definition of the first and second types of multiplicative Cheby-shev differential equations is given and the solutions of these equations are inves-tigated with the help of multiplicative power series. Also, the properties of first and second type multiplicative Chebyshev polynomials are given and proved. Fi-nally, these studies are supported with numerical examples.
AtıfScopus4WoS2OpenAlex9İncele - MakaleYayıncıda açık erişim2022Scopus SJRQ4Assessment of Nutritional Status of Elderly Receiving Home Health Care
Meriç, Çağdaş Salih; Yabanci Ayhan, Nurcan; Yilmaz, Hacı Ömer
Background/Purpose: This study was carried out to evaluate the nutritional status of elderly who received home health care. Methods: A total of 120 elderly were included in this cross sectional study. Elderly were visited in their homes and nutritional status of them was evaluated by Mini Nutritional Assessment-Short Form (MNA-SF) scale. In questionnaire; general information about elderly, presence of chronic disease, pressure sores, anthropometric measurement, nutritional status of elderly were asked. In addition, current biochemical parameters which were routinely evaluated in elderly were recorded by the researcher. Results: The mean age of elderly (40 males and 80 females) was 81.3±8.3 (65-105) years, and 97.5% of elderly were diagnosed with at least one disease. According to the MNA-SF score, 60.8% of elderly were classified as malnourished, 34.2% at risk for malnutrition and 5.0% as normal nutritional status. Currently, 49.2% of malnourished elderly have pressure sores and 54.8% had at least once before; these rates were higher than elderly without malnutrition (p <0.001). In addition, total MNA-SF score of elderly is strongly positive with hemoglobin, hematocrit and calf circumference; it was found that there was a strong negative correlation with C-reactive protein (CRP). Conclusion: In this study, it was found that only 5.0% of elderly who received home health care were in good nutritional status and pressure sore was higher in elderly who have risk of malnutrition or malnourished. Nutritional status of elderly receiving home health care should be evaluated by dietitians and more comprehensive scientific studies are needed.
AtıfScopus3WoS3OpenAlex3İncele - MakaleAçık Erişim2022Scopus SJRQ3STATE-TRAIT ANXIETY CONDITION AND ITS AFFECTING FACTORS IN PREGNANT WOMEN LINKED TO THE COVID-19 PANDEMIC
Ozcan, Handan; Elkoca, Ayse; Yigitbas, Cagla; Kartal, Yasemin Aydin
Background: This study intends to address the COVID-19 pandemic process with specific regard to pregnant women, aiming to determine their state-trait anxiety levels. Subjects and methods: The study has a quantitative design. Ethical permissions were obtained, data were collected digitally, and power analysis was performed for sample size. The sample size was calculated as 656 pregnant women. In the collection of the data, the Personal Information Form, and the State-Trait Anxiety Inventory (STAI) were used. Results: In our study, the majority of pregnant women (86.3%) were concerned about the pandemic process, with more than half thinking that their pregnancy (62.9%) and delivery processes would be affected (66.2%). In the meantime, 60.2% of the pregnant women postponed their health checks and they indicated being most concerned about their babies (57.1%). In 51.2% of the pregnant women, the state anxiety levels were low, and 89.8% of the trait anxiety levels were moderate. Conclusions: In crisis periods like the pandemic, pregnant women are among the priority groups. Screening, prevention, early diagnosis, and treatment of affective disorders in the prenatal period are important for maternal and fetal health.
- Kitap BölümüYalnız künye2022Use of Innovative Technologies in the Promotion and Marketing of Asian Tourism Destinations: Sample of Turkey Destination
Ödemiş, Murat
In this chapter, it has been sought to illustrate what innovative technologies are mainly used in marketing and branding of Turkey destination, whether these tools are transformed into a competitive tool and what needs to be done in converting them to be competitive tools, which technological tools are in the forefront of the marketing of Turkey destination and whether websites and social media tools (such as Facebook, Twitter, Instagram) are effective in the promotion and marketing of Turkey destination. In addition, it has been explained whether the hospitality businesses operating in Turkey are actively using innovative technologies (websites and social media tools) and how beneficial they have been to the hospitality businesses up to now. The effectiveness of the innovative technologies used in booking, room sales, and hotel preferences has been appraised according to the available researches. Innovative technologies have been reexamined for the competitive position of Turkey destination, and suggestions have been put forward on how to use them more effectively.
AtıfScopus1OpenAlex2İncele - BildiriAçık Erişim2022Performance Evaluation of TLS 1.3 Handshake on Resource-Constrained Devices Using NIST's Third Round Post-Quantum Key Encapsulation Mechanisms and Digital Signatures
Saribas, Sultan; Tonyali, Samet
Towards the end of the 20. century, quantum computing came into sight by the main effect of Shor's Algorithm. While this algorithm offers a solution for the factorization problem, which makes it exponentially faster, it alongside becomes a critical threat for the encryption schemes since mostly their security mechanisms rely on the difficulty of integer factorization or discrete log problems. Despite it is not known when advanced quantum computers will show up, yet, once it is developed, most existing cryptography will be rendered useless, which means all existing information security will be vulnerable. Owing to this risky situation, The National Institute of Standards and Technology (NIST) launched post-quantum cryptography (PQC) standardization process for the development of PQC schemes. In this paper, we have chosen three key encapsulation mechanisms and two digital signature algorithms with different parameter sets from the round three submissions. We measured their TLS 1.3 handshake performance using two resource-constrained devices and compared it to that of classical encryption and digital signature schemes. Experiment results showed that post-quantum algorithms come with an extra message overhead while their handshake delay values are promising.
AtıfScopus12OpenAlex11İncele - MakaleYayıncıda açık erişim2022Scopus SJRQ1Technical potential of rooftop solar photovoltaic for Ankara
Kutlu, Elif Ceren; Durusoy, Beyza; Ozden, Talat; Akinoglu, Bulent G.
Turkey, which has immense solar potential, has recently shifted towards solar energy and new renewable energy deployment regulations, including implementation and commercializing rooftop PV technologies. Thus, these require a detailed assessment to determine the power source's capability and convince the policymakers. To the authors' best knowledge, there is no available data or a city-based study for the rooftop PV potential in Turkey. Here, we present the first city-based rooftop PV potential study in Ankara. The technical PV potential calculations are sensitive to the suitable area ratio, module efficiency, and module area assumptions. This study proposes a new, free, reliable, and open-source model for estimating the rooftop PV potential, and it is adaptable to every roof type. The suitable roof area for PV panels is calculated using Helioscope software. Five different modules with different efficiencies and module sizes are modelled in Helioscope. The results showed that Ankara's total technical PV potentials for residential, public, and commercial buildings are 1.15 TWh/year, 55 GWh/year, and 26.8 GWh/year, respectively. Best results are obtained by Mono-Si Halfcut (M2) and Thin Film (M5) modules in residentials, M2 and Mono-Si Bifacial Modules (M3) in Public and Commercial Buildings.
AtıfScopus31WoS28OpenAlex33İncele - MakaleAçık Erişim2022Scopus SJRQ2Exploring anxiety levels in healthcare workers during COVID-19 pandemic: Turkey sample
Şahin, Ceyda Uzun; Kulakaç, Nurşen
As in the whole world, the Novel Coronavirus (COVID-19) pandemic poses many threats to healthcare workers in our country too, which leads to anxiety in healthcare workers. This study was conducted to explore the anxiety levels of healthcare workers during the COVID-19 pandemic. The study is a cross-sectional study. The population consisted of health care workers employed in hospitals in seven regions in Turkey. All volunteer healthcare workers were included in the study, and 356 healthcare workers responded to the questionnaire. The data were collected using the State Anxiety Inventory and a questionnaire created by the researchers using an online questionnaire between 10 May 2020 and 15 May 2020. In the evaluation of the data, mean, standard deviation, percentages, t-test, one-way ANOVA, Pearson correlation, and multiple regression analysis were used. 33% of healthcare workers did not have anxiety, 50% had mild, and 17% had severe anxiety. The anxiety scores of those who were nurses (p < 0.001), who were working in the emergency room (p < 0.001), who were involved in treatment for COVID-19 patients (p = 0.040), who left their homes to prevent transmission to their families and relatives during the pandemic (p = 0.038), and whose working hours had changed (p = 0.036) were found to be significantly higher. It was observed that there was a positive and significant relationship between the fear of death and disease transmission, uncertainty, loneliness, anger, and hopelessness, and anxiety levels in healthcare workers. The main factors that significantly affected the anxiety levels of healthcare workers were male gender, weekly working hours, the presence of chronic diseases, and feelings of anger and uncertainty. In conclusion, during the COVID-19 pandemic, healthcare workers experienced some negative emotions, their anxiety levels increased, and they were psychologically affected. Planning psychosocial interventions for healthcare workers in the high-risk group will make significant contributions to the health system.
AtıfScopus21WoS19OpenAlex32İncele - MakaleAçık Erişim2022Scopus SJRQ3Evaluation of grain quality properties and mineralcontents (Nutritional values) of triticale (X triticosecale wittmack) cultivars under rainfed agricultural conditions in the eastern black sea region of Turkey
Sirat, Abdulveli; Bahar, Bilge; Bahar, Necmiye
Triticale is an important alternative crop and is largely grown on marginal lands in Turkey to overcome the shortage of rising animal feed problem. Sometimes Triticale is also used as human food. This study was conducted for two years between 2013-2014 and 2014-2015 to determine some grain quality characteristics of nine different Triticale (Tatlicak-97, for cvs. Presto, Karma-2000, Melez-2001, Mihkam-2002, Ege Yildizi, Alperbey, Umranhanım, and Tacettinbey) cultivars under dry farming conditions at Siran-Gumushane (Eastern Black Sea Region, Turkey). The experiment was conducted with three replications based on the randomized complete block design. According to two-years average, thousand-grain weight of cultivars changed from 38.85-45.12 g, also, hectoliter weight 74.68-77.21 kg hl-1, protein contents 10.56-12.09%, starch contents 64.74-68.19%, moisture contents 9.44-9.72%, ash contents 1.25-1.60%, oil contents 0.79-1.27%, ADF (acid detergent fiber) 3.22-4.39%, NDF (neutral detergent fiber) 15.14-16.88%, potassium (K) contents 0.432-0.527%, magnesium (Mg) contents 0.113-0.135%, and phosphorus (P) contents 0.360-0.387%. In terms of quality characteristics, the maximum thousand-grain weight was obtained from Tacettinbey and Ege Yildizi; the maximum grain yield weight from Tatlicak-97; the maximum hectoliter weight from Tatlicak-97, Ege Yildizi and Mihkam-2002 cultivars; Also, cv. Karma-2000 and Alperbey had the maximum protein contents, and Umranhanım and Mihkam-2002 cultivars had the maximum starch content. It is concluded that studies relating to Agronomic practices of these and other Triticale cultivars would help in improving the life style and the livestock sector of the region.
AtıfScopus3WoS7OpenAlex3İncele - MakaleAçık Erişim2022Production of high-transparent MgO films by radio-frequency sputtering method; [Yüksek geçirgen MgO filmlerin radyo frekansı saçtırma yöntemiyle üretimi]
Şenaslan, Fatih; Çelik, Ayhan; Taşdemir, Muharrem
Magnesium oxide (MgO) thin films were deposited on silicon and glass substrates by the radio frequency (RF) sputtering method. The MgO films were annealed at 400 ⁰C for 4h. The effect of working pressure on the structure and optical properties of MgO films was investigated. Structural characterization of thin films was determined using the X-ray diffraction (XRD) method. XRD results showed the presence of dominant peaks corresponding to the (200) and (220) lattice planes of MgO. However, peaks corresponding to (111), (311) and (222) lattice planes of the MgO also appeared in the films deposited at low pressure. It was determined that the average crystal size decreased as the working pressure reduced, while the deposition rate increased. SEM analysis showed that the microstructure of the nano-spherical MgO film transformed into a coarse-grained nano-pyramidal shape after annealing. The optical properties of MgO films were investigated by UV-Vis spectroscopy. Accordingly, it was determined that the absorption threshold of the films was around 310 nm wavelength and the optical band gap of the films varied between 4.07 and 4.14 eV. As a result, MgO films with high transmittance reaching an average of 95% in the visible region were obtained.
AtıfScopus2OpenAlex2İncele - MakaleAçık Erişim2022Scopus SJRQ2A new species of the harvestman genus Graecophalangium (Opiliones: Phalangiidae) from Turkey
Kurt, Kemal
A new harvestman species, Graecophalangium anatolicumsp. n. (Opiliones: Phalangiidae) is described based on males from Konya province, Turkey. Morphological characteristics features and photographs of the new species are presented. http://www.zoobank.org/urn:lsid:zoobank.org:pub:A74AF4CB-5E4A-4749-8B12-80E71E4E4D36.
AtıfScopus1OpenAlex1İncele - MakaleAçık Erişim2022Scopus SJRQ2A new species of the genus Buresilia Šilhavý, 1965 (Opiliones: Phalangüdae) from Cyprus
Kurt, Kemal; Kunt, Kadir Boǧaç; Gücel, Salih
A new harvestman species, Buresilia kibrisensis sp.n. (Opiliones: Phalangüdae), is described and illustrated based on males collected from Beşparmak Mountains Cyprus. Differences between the new species and other species of the genus Buresilia are compared.
AtıfScopus2WoS3OpenAlex3İncele - MakaleAçık Erişim2022Scopus SJRQ2Effect of blueberry addition on antioxidant activity, textural, microbiological and physicochemical properties of strained yoghurt
Şengül, Mustafa; Can, Büşra; Ürkek, Bayram; Gürbüz-Kaçan, Zeynep
In this research, the microbiological, physicochemical, rheological, textural, sensory properties and antioxidant activity of blueberry pulp added (0, 4%, 8% and 12%) strained yoghurt samples were investigated during a 28 day storage period. The Lactobacillus delbrueckii spp. bulgaricus and Streptococcus thermophilus counts in the samples were found to have decreased at the end of the storage period. The lightness, yellowness/blueness and whiteness index values showed a decrease depending on the addition of blueberry, while the redness/greenness values increased. The addition of blueberry had a negative the effects on the fat and protein values, while it had a positive effect on the total solids values. The storage period did not significantly change any of the physicochemical, colorimetric or rheological properties of the strained yoghurt samples. The general acceptability scores of the sample containing 12% blueberry were higher than the other samples. The antioxidant activities and total phenolic content of the strained yoghurt samples increased in accordance with blueberry concentration, while the firmness and work of the shear values decreased. In conclusion, it was determined that the addition of blueberry pulp at a 12% ratio could be used to enhance the nutritional and functional properties of strained yoghurts.
AtıfScopus10WoS9OpenAlex8İncele - MakaleYalnız künye2022Scopus SJRQ2Detection of 2D and 3D Video Transitions Based on EEG Power
Manshouri, Negin; Melek, Mesut; Kaylkcloglu, Temel
Despite the long and extensive history of 3D technology, it has recently attracted the attention of researchers. This technology has become the center of interest of young people because of the real feelings and sensations it creates. People see their environment as 3D because of their eye structure. In this study, it is hypothesized that people lose their perception of depth during sleepy moments and that there is a sudden transition from 3D vision to 2D vision. Regarding these transitions, the EEG signal analysis method was used for deep and comprehensive analysis of 2D and 3D brain signals. In this study, a single-stream anaglyph video of random 2D and 3D segments was prepared. After watching this single video, the obtained EEG recordings were considered for two different analyses: the part involving the critical transition (transition state) and the state analysis of only the 2D versus 3D or 3D versus 2D parts (steady state). The main objective of this study is to see the behavioral changes of brain signals in 2D and 3D transitions. To clarify the impacts of the human brain's power spectral density (PSD) in 2D-to-3D (2D_3D) and 3D-to-2D (3D_2D) transitions of anaglyph video, nine visual healthy individuals were prepared for testing in this pioneering study. Spectrogram graphs based on short time Fourier transform (STFT) were considered to evaluate the power spectrum analysis in each EEG channel of transition or steady state. Thus, in 2D and 3D transition scenarios, important channels representing EEG frequency bands and brain lobes will be identified. To classify the 2D and 3D transitions, the dominant bands and time intervals representing the maximum difference of PSD were selected. Afterward, effective features were selected by applying statistical methods such as standard deviation, maximum (max) and Hjorth parameters to epochs indicating transition intervals. Ultimately, k-nearest neighbors, support vector machine and linear discriminant analysis (LDA) algorithms were applied to classify 2D_3D and 3D_2D transitions. The frontal, temporal and partially parietal lobes show 2D_3D and 3D_2D transitions with a good classification success rate. Overall, it was found that Hjorth parameters and LDA algorithms have 71.11% and 77.78% classification success rates for transition and steady state, respectively.
AtıfScopus6WoS4OpenAlex6İncele