Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Bulut, Hasan(53)
- Baskonus, Haci Mehmet(52)
- Alataş, Mevlüt(39)
- Gul, Muhammet(39)
- Serdar, Osman(38)
- Güler, Ömer(37)
- Akkurt, Nevzat(31)
- Benzer, Fulya(30)
- Sulaiman, Tukur Abdulkadir(29)
- Yucesan, Melih(29)
- Zengin, Gokhan(29)
- Kocabaş, Mehmet(28)
- Topal, Murat(26)
- Batan, Nevzat(25)
- Kök, Mediha(25)
- Ezer, Tülay(24)
- Paksoy, Mehmet Yavuz(24)
- Yildirim, Ozal(23)
- Tekin, H.O.(22)
- Utku, Anıl(22)
- ALMisned, Ghada(21)
- Ince, Muharrem(21)
- Öbek, Erdal(21)
- Erten, Fusun(20)
- Aslan, Naim(19)
- Celik, Erkan(19)
- Yildirim, Numan(19)
- Cakilcioglu, Ugur(18)
- Dal, Murat(18)
- Dal, Nursel Alp(18)
- Sahin, Kazim(18)
- Özkaynak, Fatih(18)
- Aslan, Alper(17)
- Erata, Hüseyin(17)
- Orhan, Cemal(17)
- Ergen, Burhan(16)
- Tanyol, Mehtap(16)
- Demir, Yakup(15)
- Etli, Serkan(15)
- Işık, Erdem(15)
Yayınlar
- DüzeltmeAçık Erişim2024Scopus SJRQ2Correction to: Detection of hateful twitter users with graph convolutional network model (Earth Science Informatics, (2023), 16, 1, (329-343), 10.1007/s12145-023-00940-w)
Utku, Anıl; Can, Umit; Aslan, Serpil
In this article the affiliation details for Serpil Aslan were incorrectly given as ‘Software Engineering Department, Turgut Üzal University, 44210 Malatya, Turkey’ but should have been ‘Department of Software Engineering, Faculty of Engineering and Natural Sciences, Malatya Turgut Ozal University, Malatya, Turkey.’ The original article has been corrected.
AtıfScopus1OpenAlex2
İncele - MakaleAçık Erişim2024Scopus SJRQ4Erythropoietin and Hypericum perforatum ameliorate Gentamicin–induced nephrotoxicity in rats; [La eritropoyetina y el Hypericum perforatum mejoran la nefrotoxicidad inducida por gentamicina en ratas]
Ak, Tuba Parlak; Sağıroğlu, Meltem; Korkmaz, Gizem Elif; Yaman, Mine
Gentamicin (GM), which causes nephrotoxicity, is an aminoglycoside antibiotic commonly prescribed to treat of gram–negative infections. Erythropoietin (EPO), which has several biological functions including neuroprotection, wound healing and nephroprotection, is a glycoprotein hormone that controls erythropoiesis. Hypericum perforatum (HP) is a medicinal herb with antibacterial and nephroprotective effects. The aim of this study is to demonstrate the efficacy of EPO and HP in GM nephrotoxicity using combined biochemical, histopathological and immunohistochemical evaluations together. A total of 36 male Spraque–Dawley rats were divided into as control, GM (100 mg·kg-1 day), GM+EPO, GM+HP, EPO (1000 IU·kg-1 three consecutive days apart) and HP (200 mg·kg-1 day) groups (n=6) and the experiment lasted for 9 days. GM–induced increased relative kidney weight and increased serum urea nitrogen (BUN), creatinine and urea levels were reduced by EPO and HP. EPO and HP reduced the level of malondialdehyde (MDA), which increased with GM application, and increased the activities of reduced glutathione (GSH), glutathione peroxidase (GSH–Px), and catalase (CAT). GM nephrotoxicity resulted in tubular degeneration, vacuolization and hyaline deposits, glomerular degeneration and interstitial mononuclear cell infiltration. EPO and HP attenuated these histopathological changes. Also, EPO and HP also reduced caspase–3 immunoreactivities, which increased with GM application. It was shown that EPO and HP have attenuating effects on GM–induced kidney injury, and especially the intense antioxidant content of HP has a regulatory effect on the negative consequences of oxidative stress.
- MakaleAçık Erişim2024Scopus SJRQ2Combining chemical profiles and biological abilities of different extracts from Tanacetum nitens (Boiss. & Noë) Grierson using network pharmacology
Dall'Acqua, Stefano; Yagi, Sakina; Sut, Stefania; Uba, Abdullahi Ibrahim; Ponniya, Sathish Kumar M.; Koyuncu, Ismail; Toprak, Kenan; Balos, Mehmet Maruf; Kaplan, Alevcan; Çakılcıoğlu, Uğur
Tanacetum nitens (Boiss. & Noë) Grierson is an aromatic perennial herb used in Turkish traditional medicine to treat headache, fever, and skin diseases. This study aimed to investigate the chemical composition, antioxidant, enzyme inhibition, and cytotoxic properties of T. nitens aerial parts. Organic solvent extracts were prepared by sequential maceration in hexane, dichloromethane, ethyl acetate, and methanol while aqueous extracts were obtained by maceration or infusion. Nuclear magnetic resonance (NMR) and LC-DAD-MS analysis allowed the identification and quantification of different phytoconstituents including parthenolide, tanacetol B, tatridin B, quinic acid derivatives, β-sitosterol, and glycoside derivatives of quercetin and luteolin. The type and amount of these phytochemicals recovered by each solvent were variable and significant enough to impact the biological activities of the plant. Methanolic and aqueous extracts displayed the highest scavenging and ions-reducing properties while the dichloromethane and ethyl acetate extracts exerted the best total antioxidant activity and metal chelating power. Results of enzyme inhibition activity showed that the hexane, ethyl acetate, and dichloromethane extracts had comparable anti-acetylcholinesterase activity and the latter extract revealed the highest anti-butyrylcholinesterase activity. The best α-amylase and α-glucosidase inhibition activities were obtained from the hexane extract. The dichloromethane and ethyl acetate extracts exhibited the highest cytotoxic effect against the prostate carcinoma DU-145 cells. In conclusion, these findings indicated that T. nitens can be a promising source of biomolecules with potential therapeutic applications.
AtıfScopus7OpenAlex7
İncele - DüzeltmeAçık Erişim2024Scopus SJRQ1Correction to: A Novel Secure S-box Design Methodology Based on FPGA and SHA-256 Hash Algorithm for Block Cipher Algorithms (Arabian Journal for Science and Engineering, (2024), 10.1007/s13369-024-09251-8)
Aydin, Yilmaz; Garipcan, Ali Murat; Özkaynak, Fatih
In the original publication, Table 1 was published with wrong values. The corrected table is given below. This has been updated in the original article. (Table presented.) 8 × 8 s-box component obtained through the proposed scheme 0 1 2 3 4 5 6 7 8 9 A B C D E F 0 7 16 40 37 222 29 204 225 65 81 156 199 63 42 44 197 1 158 2 11 117 30 134 106 209 24 78 152 141 215 251 160 36 2 249 6 228 75 233 198 132 203 147 100 176 97 214 43 239 59 3 146 47 200 49 79 195 188 201 184 85 218 151 213 154 76 253 4 17 196 26 120 105 130 45 115 186 4 224 145 118 252 138 208 5 255 10 5 129 236 91 21 162 216 109 72 27 243 207 89 13 6 124 86 206 179 192 172 235 68 28 230 74 54 99 80 139 143 7 182 234 108 149 94 168 177 3 64 250 46 41 9 191 232 136 8 84 210 88 205 23 15 95 56 50 83 107 190 98 242 103 19 9 60 169 101 181 114 174 69 82 119 112 247 244 128 51 96 1 A 123 90 150 93 32 159 57 237 170 52 231 202 125 217 155 73 B 189 31 66 14 194 62 227 104 140 165 153 131 20 12 211 245 C 111 102 183 142 137 113 187 254 133 77 116 122 161 110 38 173 D 39 18 87 148 175 121 35 193 70 229 92 55 166 219 163 171 E 185 8 126 135 127 223 240 58 53 22 248 246 167 67 48 212 F 241 144 221 178 220 34 71 0 61 164 180 157 226 238 25 33
AtıfScopus1İncele - MakaleAçık Erişim2024Scopus SJRQ1A new chaotic system and its practical applications in substitution box and random number generator
Artuğer, Fırat; Özkaynak, Fatih
One of the successful practical applications of chaos theory and nonlinear dynamics is chaos-based cryptology studies. In this study, a new chaotic system is proposed. The proposed chaotic system generator model has a simple algorithmic structure. In addition to, generated chaotic systems have rich dynamics. It has been examined whether this system has potential advantages, especially for information security applications. As a result of the analysis and experimental studies, it is seen that the study makes many contributions to the literature. The simple mathematical generator structure has the potential to reduce computational complexity, which is an important problem for cryptology applications. One of the most comprehensive studies has been realized for chaos-based substitution box designs. 70,000 different substitution box structures have been generated. It has been known that the highest nonlinearity value that can be achieved for designs that transform chaotic system outputs into substitution box structures is 106.75 today. It has been shown that this value may be higher. The new highest nonlinearity value is calculated as 107. Side channel analysis has been examined for substitution box structures with the highest nonlinearity value among the substitution boxes generated in the study. Analysis results show that the proposed new substitution box structures may have an advantage for application-oriented attacks. Among the generated substitution box structures, 289 substitution box structures with a nonlinearity value of 106 and above are presented as a public dataset for researchers to use. In addition, 3 different random sequences with a length of 1 million-bit were produced with the proposed map, and the NIST SP 800–22 test was applied. Test results for all datasets were successful. In this way, the proposed map can also be used as a random number generator.
AtıfScopus13İncele - MakaleAçık Erişim2024Scopus SJRQ4Comparative And Dynamic Analysis of Türkiye's Competitiveness in Unmanned Aerial Vehicles; [İnsansız Hava Araçlarında Türkiye’nin Rekabet Gücünün Karşılaştırmalı ve Dinamik Analizi]
Aydin, Üzeyir; Ateş, Erdem; Öztürk, Hasan
The study aims to determine the competitiveness of Türkiye’s UAV exports in a dynamic framework. The analysis used data from the first 20 countries with the largest share in the production and trade of products designated as UAVs by the Harmonic System six-digit and by the European Commission for 2012-2021. Within the scope of the study, it is determined that some countries have high competitiveness in 4 product groups examined with five different foreign trade indexes. It is concluded that Türkiye has strategic and dynamic superiority in two of the four product groups.
AtıfOpenAlex2TR Dizin1
İncele - Kitap BölümüAçık Erişim2024High Entropy Materials for CO2 Conversion
Simsek, Telem; Guler, Seval H.; Guler, Omer; Simsek, Tuncay
Metal-based oxides, ceramics, and composite catalysts are commonly used for CO2 conversion. To increase the efficiency of these catalysts, strategies such as heterostructure, defect engineering, nanolayers, mesoporous structure development, and oxygen vacancy engineering are used. In recent years, highly stable high entropy alloys (HEAs), which include at least five different elements in equimolar or nearly equimolar ratios, have recently come to be recognized as promising CO2 conversion catalysts. Their unique properties enable enhanced reactivity and selectivity, making them highly valuable in addressing CO2 emissions and climate change challenges. When several elements are included in a catalyst, surface microstructures with different atomic configurations and active catalytic sites are produced. As a result, different adsorption modes arise for reactants and intermediates. In addition, the mixing of metal elements in varying atomic ratios causes changes in the electronic structure of metals. The distinct catalytic characteristics of HEAs are a result of modifications to their electronic structure brought on by lattice stretching, distortion, and compositional alterations.
- MakaleAçık Erişim2024Scopus SJRQ1Spread patterns of COVID-19 in European countries: hybrid deep learning model for prediction and transmission analysis
Utku, Anıl; Akcayol, M. Ali
The COVID-19 pandemic has profoundly impacted healthcare systems and economies worldwide, leading to the implementation of travel restrictions and social measures. Efforts such as vaccination campaigns, testing, and surveillance have played a crucial role in containing the spread of the virus and safeguarding public health. There needs to be more research exploring the transmission dynamics of COVID-19, particularly within European nations. Therefore, the primary objective of this research was to examine the spread patterns of COVID-19 across various European countries. Doing so makes it possible to implement preventive measures, allocate resources, and optimize treatment strategies based on projected case and mortality rates. For this purpose, a hybrid prediction model combining CNN and LSTM models was developed. The performance of this hybrid model was compared against several other models, including CNN, k-NN, LR, LSTM, MLP, RF, SVM, and XGBoost. The empirical findings revealed that the CNN-LSTM hybrid model exhibited superior performance compared to alternative models in effectively predicting the transmission of COVID-19 within European nations. Furthermore, examining the peak of case and death dates provided insights into the dynamics of COVID-19 transmission among European countries. Chord diagrams were drawn to analyze the inter-country transmission patterns of COVID-19 over 5-day and 14-day intervals.
AtıfScopus6WoS3OpenAlex7İncele - MakaleAçık Erişim2024Scopus SJRQ1Exploring Chemical Composition, Antioxidant, Enzyme Inhibitory and Cytotoxic Properties of Glaucium acutidentatum Hausskn. & Bornm. from Turkey Flora: A Novel Source of Bioactive Agents to Design Functional Applications
Yagi, Sakina; Zengin, Gokhan; Uba, Abdullahi Ibrahim; Maciejewska-Turska, Magdalena; Sieniawska, Elwira; Świątek, Łukasz; Rajtar, Barbara; Bahşi, Muammer; Guler, Osman; Dall’Acqua, Stefano
The present study was performed to determine the chemical constituents, cytotoxicity, antioxidant and enzyme inhibition activities of the aerial parts of Glaucium acutidentatum Hausskn. and Bornm. (family Papaveraceae). Methanolic and aqueous extracts were prepared by maceration, homogenizer-assisted extraction (HAE) and infusion. Results showed that the highest total phenolic and flavonoids contents were obtained from the methanol extracts obtained by HAE (53.22 ± 0.10 mg GAE/g) and maceration (30.28 ± 0.51 mg RE/g), respectively. The aporphine, beznyltetrahydroisoquinoline, and protopine types of Glaucium alkaloids have been tentatively identified. Among them, glaucine was identified in all extracts. Flavonoids, phenolic acids, coumarins, organic acids and fatty acids were also detected. Methanolic extract obtained using the HAE method displayed the highest anti-DPPH (41.42 ± 0.62 mg TE/g), total antioxidant (1.20 ± 0.17 mmol TE/g), Cu2+ (113.55 ± 6.44 mg TE/g), and Fe3+ (74.52 ± 4.74 mg TE/g) reducing properties. The aqueous extracts obtained by infusion and HAE methods exerted the best anti-ABTS (103.59 ± 1.49 mg TE/g) and chelating (19.81 ± 0.05 mg EDTAE/g) activities, respectively. Methanolic extract from HAE recorded the highest acetylcholinesterase (2.55 ± 0.10 mg GALAE/g) and α-amylase (0.51 ± 0.02 mmol ACAE/g) inhibition activities, while that obtained by maceration showed the best butyrylcholinesterase (3.76 ± 0.31 mg GALAE/g) inhibition activity. Both extracts revealed the best tyrosinase inhibitory activity (25.15 ± 1.00 and 26.79 ± 2.36 mg KAE/g, p ≥ 0.05). G. acutidentatum maceration-derived aqueous extract showed selective anticancer activity against cells originating from human hypopharyngeal carcinoma. In conclusion, these findings indicated that G. acutidentatum is a promising source of alkaloids and phenolic compounds for variable pharmaceutical formulations.
AtıfScopus13OpenAlex13İncele - BildiriAçık Erişim2024A Deep Learning-Based Approach for Damage Detection in Cultural Heritage Images and Generating Heat Maps
Ogdu, Cagatay Umut; Yilmazer, Merve; Karakose, Mehmet
Cultural structures may be damaged and damaged over time due to external factors such as natural and social disasters, which may lead to the loss of national assets if cultural assets are not protected. Therefore, the protection of cultural heritage is of great importance not only for today's generations but also for future. In recent years, deep learning and image processing have made great progress and have become very effective for detecting and analyzing patterns. These techniques can also be used to solve complex problems such as damage detection of structures in the field of cultural heritage. Deep learning methods can be used to determine the current status of structures and detect possible damage by working on images obtained from different angles of structures, while also reducing human errors. In this study, as an important step for the protection of cultural heritage, a detection method was developed using deep learning models on damaged and intact cultural heritage building images. The data set used in the study consists of damaged and intact cultural heritage building images. An attempt was made to determine the model that gave the best results by using pre-trained models with the Transfer Learning method. Heat maps were created using the Grad-CAM method to identify damaged areas on the trained models, thus making it possible to more clearly identify the damaged areas in the image. This method can play an important role in preserving cultural heritage. It can be used to detect damaged areas and direct them to repair.
AtıfScopus3OpenAlex4İncele - MakaleAçık Erişim2024Scopus SJRQ2Smart alloy metalized novel photonic NEMS photodiode with CuAlV/n-Si/Al junction structure
Karaduman, Oktay; Canbay, Canan Aksu; Dere, Aysegul; Orman, Yusuf; Al-Ghamdi, Ahmed A; Al-Sehemi, Abdullah G; Yakuphanoglu, Fahrettin
In this work, a novel smart (shape memory) alloy metalized photonic silicon wafer photodiode with Schottky type CuAlV/n-Si/Al contact structure as a nano-electro-mechanical-system (NEMS) photodevice was fabricated by thermal evaporation technique. The CuAlV memory alloy used as the top Schottky metal contact electrode was produced by arc melting technique and a subsequent quenching in an iced-brine water medium, and its shape memory effect characteristics were revealed by thermal and structural tests. The fabricated photonic NEMS photodiode was characterized by different photo-electrical (I-V, I-t) and frequency/time dependent and illuminated capacitance (C-V/f, C-t, C-V/ill.) and conductance-voltage (G-V) measurements under different frequencies and artificial light intensity power conditions. The I-V tests showed an excellent current rectifying ability and very well net photocurrent generation features of the photodiode. The specific detectivity of the photodiode was found as high as almost approaching 1011 Jones. The SCLC (space charge limited current conduction) analyses made on the double-log I-V plots of the photodiode revealed that the trap-filling TFL-SCLC and trap-free SCLC current conduction mechanisms are the two prevailing conduction mechanisms in the forward bias voltage region. The density of interface states (Dit) of the fabricated photodiode was determined. Moreover, an excellent reproducibility of light-induced photocapacitance formation of the novel photodiode was demonstrated by C-V/t measurements under different artificial light power intensities.
AtıfScopus5OpenAlex5İncele - MakaleAçık Erişim2024Scopus SJRQ1A new algorithm to generate aes-like substitution boxes based on sine cosine optimization algorithm
Artuğer, Fırat; Özkaynak, Fatih
Symmetric encryption approaches are generally used for data encryption. One of the basic requirements for symmetric encryption algorithms to provide security is strong s-box structures. Because s-box is a nonlinear unit in these encryption algorithms and provides the requirement called confusion. In this article, a new technique is developed to produce effective s-boxes like the 16*16 s-box structure used in the AES algorithm. In the proposed method, the sine cosine algorithm (SCA), one of the recently developed optimization algorithms, is used. SCA is a suitable option for generating strong s-boxes because of its strong randomness and ease of implementation. The proposed method first uses a logistic map to generate the initial population. Then, the nonlinearity value is optimized with the help of the sine cosine algorithm. The proposed method reaches the highest nonlinearity value (112) by relocating 126 values in the s-box structure produced initially. Looking at the results, it is seen that the proposed method gives better results than other optimization-based s-box creation methods. This new method has significant potential to improve the security of symmetric encryption algorithms and make data encryption processes stronger.
AtıfScopus19WoS22OpenAlex24İncele - MakaleAçık Erişim2024Scopus SJRQ1Production of Ho2O3 and Dy2O3 rare earth oxides doped selenium thin film and investigation of surface morphology and optical properties
Aydin, Handan; Sait Kanca, M.; Kök, Mediha; Taşgin, Yahya; Tatar, Beyhan
Thin film technology aims to improve and develop the properties of materials by coating technology. In this study, thin films consisting of rare earth element and selenium semiconductor material, which have recently been preferred in technological applications due to their important properties, are examined. Selenium thin films doped with Ho2O3 and Dy2O3 rare earth oxides (REO) were fabricated on glass substrate by thermal evaporation method. The surface morphology and optical properties of the thin films were investigated. As a result of surface morphology examinations, it was determined that homogeneous thin films were obtained and the thickness of the thin films varied between 20 and 30 μm. In addition, the roughness value of the glass substrate decreased as a result of coating with doped selenium thin film. The band energy value obtained by UV-VIS measurements decreased compared to glass and was close to the selenium element value. In the comparison between selenium coatings doped with Ho2O3 and Dy2O3, a notable reduction in the Eg value was observed specifically in the Ho2O3 doped coatings.
AtıfScopus3OpenAlex3İncele - MakaleAçık Erişim2024Scopus SJRQ1A broad-spectrum biological activities of Heracleum humile extracts: A first report of the antiviral, anti-cancer and chemical properties
Ocal, Mustafa; Duran Yelken, Selda; Altunoglu, Yasemin Celik; Baloglu, Mehmet Cengiz; Soomro, Sanam Iram; Zengin, Gokhan; Angeloni, Simone; Mustafa, Ahmed M.; Caprioli, Giovanni; Paksoy, Mehmet Yavuz
The current work focused on researching the bioactive potential of ethyl acetate (EA), methanol (MeOH), and water extract of H. humile plant, specifically ethyl acetate, methanol extracts were acquired with maceration method, and water extract was obtained by the infusion method. The highest total phenolic ingredient was determined in the water extract, while the highest total flavonoid ingredient was found in the MeOH extract. The water extract displayed the most potent antioxidant activity in the assays used. The ethyl acetate extract showed the highest enzyme inhibition activity in Butyrylcholinesterase inhibition (BChE) and amylase assay. Antibacterial efficiency was analyzed using microdilution analysis. The minimum inhibitory concentration (MIC) amounts ranged from 125 to 500 μg/mL except for water extract. The antiviral potential of the extracts was assessed against Bovine herpes virus 1 (BoHV-1) (Cooper strain). Methanol extract showed more potent antiviral effect. Selectivity indices were calculated for ethyl acetate and methanol extract as 3.32 and 13.39, respectively. All extracts displayed Deoxyribonucleic Acid (DNA) protection activity at approximately 25%–35%. For cell viability evaluation, 3-(4,5-Dimethylthiazol-2-yl)-2,5-Diphenyltetrazolium Bromide (MTT) test was performed against triple-negative human breast adenocarcinoma cells (MDA-MB-231) and Michigan Cancer Foundation-7 (MCF-7) cells. The most effective results were found in ethyl acetate extract at 48h. The 50% inhibitor concentrations (IC50) were determined for MDA-MB-231 and MCF-7 as 116.7 μg/mL and 247.9 μg/mL, respectively. Based on the bioactive compound content results, extracts of H. humile include valuable compounds that possess significant biological properties. In conclusion, these extracts could offer promising novel plant-derived therapeutics.
- MakaleAçık Erişim2024Scopus SJRQ1Morphometric characteristics of glacial cirques and former glaciers in the Geyik Mountains, Western Taurus, Türkiye
Çılğın, Zeynel; Evans, Ian S.; Keserci, Ferhat; Canpolat, Ergin; Bayrakdar, Cihan
Using the Glacier reconstruction (GlaRe) toolbox, reconstructions of former glaciers in the Geyik Mountains, part of the Taurus Mountain system in southern Türkiye, show that an area of 132.5 km2 was glaciated in the last major glaciation, which left clear terminal and hummocky moraines. Glaciers were 1.4 to 12 km long and those from 49 cirques merged to form a broad 75 km2 piedmont glacier in the Namaras Valley, up to 400 m thick. A thorough analysis of morphometry of the 98 Geyik cirques, using the revised Automated Cirque Metric Extraction version 2 (ACME2) toolbox, shows that they are relatively small, with limited widths: the median length/width ratio of 1.29 is unusually high. With size, length and width increase faster than depth, demonstrating strong static allometry. Maximum slope averages 59°, minimum 3.3° and axial 25°. A combination of low hypsometric integral, high axial profile closure and high axial height-length integral is proposed as a measure of cirque development. The main summits are on sharp ridges on cirque crests, showing that they have been lowered by glacial erosion (by cirque development). Glaciation was strongly asymmetric, with cirque vector mean aspect between northeast and north-northeast. This shows the dominance of solar radiation effects, with some modification from westerly winds. Glacier palaeo- Equilibrium Line Altitudes (pELAs) rise northeastwards and cirque floor minimum altitudes (CFAs) rise toward east-northeast, both showing the importance of moist air from the Mediterranean, 38–55 km to the southwest. pELA averages 2208 m above sea level (a.s.l.) (2277 m area-weighted); CFA averages 2234 m. CFA varies mainly with summit altitudes; where related palaeoglaciers are short CFA is somewhat below pELA, but for longer ones it is above. The most likely palaeoclimate to form these glaciers involves a precipitation increase of 53–72 % with a temperature fall of 8 °C compared with present-day. The cirques formed under similar or less severe conditions.
AtıfScopus7OpenAlex15İncele - MakaleAçık Erişim2024Scopus SJRQ1A new hybrid approach for grapevine leaves recognition based on ESRGAN data augmentation and GASVM feature selection
Doğan, Gürkan; Imak, Andaç; Ergen, Burhan; Sengur, Abdulkadir
Grapevine leaf is a commodity that is collected only once a year and has a high return on investment due to its export. However, only certain types of grapevine leaves are consumed. Therefore, it is extremely important to distinguish the types of grapevine leaves. In particular, performing this process automatically on industrial machines will reduce human errors, workload, and thus cost. In this study, a new hybrid approach based on a convolutional neural network is proposed that can automatically distinguish the types of grapevine leaves. In the proposed approach, firstly, the overfitting of network models is prevented by applying data augmentation techniques. Second, new synthetic images were created with the ESRGAN technique to obtain detailed texture information. Third, the top blocks of the MobileNetV2 and VGG19 CNN models were replaced with the newly designed top block, effectively extracting features with the data. Fourthly, the GASVM algorithm was adapted and used to create a subset of the features to eliminate the ineffective and unimportant ones from the obtained features. Finally, SVM classification was performed with the feature subset consisting of 314 features, and approximately 2% higher accuracy and MCC score were obtained compared to the approaches in the literature.
AtıfScopus8WoS6OpenAlex9İncele - MakaleAçık Erişim2024Scopus SJRQ1Experimental and theoretical results of gamma shielding features for copper based shape memory alloys
Niksarlıoğlu, Seçil; Akman, Ferdi; Agar, Osman; Kaçal, Mustafa Recep; Kanca, Muhammed Sait
In this study, the gamma ray attenuation characteristics for CuAlNi shape memory alloys with different proportions of Sn doping was investigated. We determined the mass attenuation coefficient (μ/ρ) of CuAlNiSn alloys both experimentally and theoretically within an energy range of 59.5–1332.5 keV. The experimental measurements were made using a high purity Germanium detector (HPGe) and theoretical calculations were made using WinXCOM program. To evaluate the gamma radiation shielding abilities of the alloy samples, the obtained (μ/ρ) values were used to determine the gamma protection parameters μ, HVL, TVL, MFP, and Zeff. In addition, the radiation protection efficiency (RPE) parameter was determined using gamma ray intensities in the absence and presence of the attenuator. Further analysis of the samples was conducted using a Rigaku Miniflex 600 model computer-controlled X-ray diffractometer (CuKα & λ = 1.5405 A0). The crystallographic structure of the alloys before and after irradiation was investigated. Other analysis which include EDX analysis (to investigate the chemical content) and SEM analysis (to investigate the microstructure) were conducted. According to result outcomes, gamma ray radiation did not affect the shape memory properties of structure. Another interesting observation is that, the radiation attenuation properties increase with increasing Sn concentration. Finally, we discovered that the CuAlNiSn4 alloy (which has the highest doping rate) provides good protection especially at low energy levels.
AtıfScopus5OpenAlex6İncele - MakaleAçık Erişim2024Scopus SJRQ2Effects of naringenin on oxidative damage and apoptosis in liver and kidney in rats subjected to chronic mercury chloride
Kahramanoğullari, Merve; Erişir, Mine; Yaman, Mine; Parlak Ak, Tuba
Mercury chloride is a type of heavy metal that causes the formation of free radicals, causing hepatotoxicity, nephrotoxicity and apoptosis. In this study, the effects of naringenin on oxidative stress and apoptosis in the liver and kidney of rats exposed to mercury chloride were investigated. In the study, 41 2-month-old male Wistar-Albino rats were divided into five groups. Accordingly, group 1 was set as control group, group 2 as naringenin-100, group 3 as mercury chloride, group 4 as mercury chloride + naringenin-50, and group 5 as mercury chloride + naringenin-100. For the interventions, 1 mL/kg saline was administered to the control, 0.4 mg/kg/day mercury (II) chloride to the mercury chloride groups by i.p., and 50 and 100 mg/kg/day naringenin prepared in corn oil to the naringenin groups by gavage. All the interventions lasted for 20 days. Mercury chloride administration was initiated 1 h following the administration of naringenin. When mercury chloride and the control group were compared, a significant increase in plasma urea, liver and kidney malondialdehyde (MDA) levels, in kidney superoxide dismutase (SOD), glutathione peroxidase (GSH-Px), glutathione-S-transferase (GST) activities (p <.001), and a significant decrease in liver and kidney glutathione (GSH) levels (p <.001), in liver catalase (CAT) activity (p <.01) were observed. In addition, histopathological changes and a significant increase in caspase-3 levels were detected (p <.05). When mercury chloride and treatment groups were compared, the administration of naringenin caused a decrease aspartate transaminase (AST), alanine transaminase (ALT), lactate dehydrogenase (LDH) (p <.01), urea, creatinine levels (p <.001) in plasma, MDA levels in liver and kidney, SOD, GSH-Px, GST activities in kidney (p <.001), and increased GSH levels in liver and kidney. The addition of naringenin-100 increased GSH levels above the control (p <.001). The administration of naringenin was also decreased histopathological changes and caspase-3 levels (p <.05). Accordingly, it was determined that naringenin is protective and therapeutic against mercury chloride-induced oxidative damage and apoptosis in the liver and kidney, and 100 mg/kg naringenin is more effective in preventing histopathological changes and apoptosis.
AtıfScopus13WoS14OpenAlex14İncele - MakaleAçık Erişim2024Scopus SJRQ3Toxicity assessment of advanced biological wastewater treatment plant effluent by integrated biomarker response in zebra mussels (Dreissenapolymorpha)
Serdar, Osman; Ketenalp, Zozan; Yildirim, Nuran Cikcikoglu
In this study, zebra mussels (Dreissena polymorpha) were exposed to advanced biological wastewater treatment plant effluent (ABWTPE) for 96 h. At the end of the 96th hour, antioxidant parameters such as superoxide dismutase (SOD), catalase (CAT), glutathione peroxidase (GPX), glutathione S-transferase (GST), malondialdehyde (MDA) and glutathione (GSH) were examined. The objective of the study was to identify biomarkers that are useful for assessing the potential toxic effects of ABWTPE in freshwater environments. We observed an increase in GPX, SOD activity and MDA levels, and a decrease in CAT, GST activity and GSH levels. The results obtained in our study showed that the measured biochemical parameters (GSH, MDA, SOD, CAT, GPX and GST) are useful biomarkers in determining the possible toxicity of ABWTPE in aquatic environments.
AtıfScopus3WoS3OpenAlex3İncele - BildiriAçık Erişim2024A New Approach to Detecting Free Parking Spaces Based on YOLOv6 and Keyframe Detection with Video Analytics
Yilmazer, Merve; Karakose, Mehmet; Tanberk, Senem; Arslan, Samed
With urbanization and population growth, automobile use has also increased. As a result of this, there is a need to expand parking management and inspection systems to ensure safe and efficient use of parking areas. A new deep learning-based method has been proposed as an alternative to traditional systems to control free spaces in parking areas monitored by CCTV security cameras. A large amount of video data needs to be processed for parking areas recorded with video cameras 24 hours a day, 365 days a year. Repeating frames in videos cause overlearning in deep learning models. It also increases memory and computation cost. For this reason, keyframe detection based on sampling was first performed on the sample video of the Dragon Lake Parking (DLP) dataset and a summary of the dataset was obtained. Then, empty parking areas were detected by YOLOv6 deep neural network. It has been observed that the model can detect empty parking areas at a rate of 96.6% mAP.
AtıfScopus7OpenAlex5İncele