Sürdürülebilir Kalkınma Amaçları

• 21
• 10
• 8
• 6
• 6
• 5
• 3
• 2
• 2
• 1
• 1
• 1

• MakaleAçık Erişim2026/r/munzur/5948
  Energy density in Rainbow Gravity: Levi-Civita Model

  Korunur, Murat; Korunur, Sibel

  In this study, the energy density for the Levi-Civita space-time is analyzed within the framework of Rainbow Gravity Theory (RGT). RGT is a theoretical approach that assumes the geometry of space-time depends on the energy of the test particle, offering a promising perspective in the quest for quantum gravity. Energy densities are calculated using the Einstein, Bergmann-Thomson, and Landau-Lifshitz energy-momentum prescriptions and compared with the results obtained from General Relativity. The findings reveal that as the test particle’s energy increases, the energy density rises in the Einstein and Landau-Lifshitz prescriptions, while it decreases in the Bergmann-Thomson formulation. This highlights how the problem of energy localization varies across different energy-momentum definitions and demonstrates the impact of RGT on energy distribution. The study contributes to the literature exploring the influence of alternative gravitational theories on energy-momentum distributions.

  İncele
• MakaleAçık Erişim2026/r/munzur/5947
  Evaluation of pull-out and push-out relationship for the flat and ribbed reinforcements in concrete with different compressive strengths

  Etli, Serkan; Akgül, Melek; Doğan, Orhan

  To evaluate the performance of anchors in strengthening an existing building or to estimate the remaining service life of an existing building due to corrosion in reinforcements within the scope of academic studies, adherence tests, mostly based on pull-out are preferred. However, pull-out tests have a low usability rate and need to be more laborious in accordance with push-out tests. In this study, it is aimed to show the usability of push-out test instead of pull-out test and to reveal an empirical equation to determine the relationship between these two adherence tests on reinforced concrete samples. Within the scope of this study, dozens of bond tests were performed on reinforced 100×100×100 mm cube specimens with different concrete strengths, using flat and ribbed reinforcement types to represent existing structures. Predicted equations for these tests were very usable for estimation of pull-out strength from push-out test results.

  İncele
• MakaleAçık Erişim2026/r/munzur/5944
  Tunceli tarım arazilerinden elde edilen bacillus licheniformis'in antimikrobiyal özellikleri

  Yazdıç, Ferit Can; Kar, Bülent; Karaman, Altuğ; Yücel, Halit; Araka, Özlem

  Bu çalışmada, Türkiye Tunceli'deki tarım topraklarından izole edilen Bacillus licheniformis suşlarının antimikrobiyal potansiyelleri araştırılmıştır. Toprak örnekleri minimal olarak bozulmuş alanlardan toplanmış ve bakteri suşları morfolojik, biyokimyasal ve moleküler tanımlama yöntemleri kullanılarak izole edilmiştir. İzolatlar, 16S rDNA dizilemesi ve filogenetik analiz yoluyla Bacillus licheniformis oldukları başarılı bir şekilde doğrulanmıştır. Antimikrobiyal sekonder metabolitlerin üretimi, izolatların farklı karbon kaynaklarıyla (sükroz, glikoz ve fruktoz) kültürlenmesi ve disk difüzyon yöntemi kullanılarak Escherichia coli (ATCC 25922) ve Staphylococcus aureus'a (ATCC 25923) karşı aktivitelerinin test edilmesiyle değerlendirilmiştir. Sonuçlar, özellikle Escherichia coli'ye karşı antimikrobiyal aktiviteyi artırmak için en etkili karbon kaynağının sükroz olduğu belirlenmiştir. Antibakteriyel aktivite genellikle daha uzun inkübasyon süreleriyle artmıştır. Bu araştırma, Bacillus licheniformis'in antibakteriyel madde kaynağı olarak potansiyelini vurgulamaktadır. Patojenlerin biyolojik kontrolü için tarımdaki uygulamalarda kullanılması için çevre dostu bir alternatif sunmaktadır. Sonuç olarak, bu çalışmanın bulguları Bacillus licheniformis'in antimikrobiyal özellikleri hakkında bilgilere katkıda bulunmaktadır. Karbon kaynağındaki kullanılabilirliği ve metabolit üretimini etkileyen faktörleri anlamak, Bacillus licheniformis'in antimikrobiyal potansiyelinden yararlanmak için önemlidir.

  İncele
• MakaleAçık Erişim2026/r/munzur/5943
  Design and analysis of an arduino-based low-cost true random number generator

  Erdem, Ebubekir; Kaner, Seyfullah; Garipcan, Ali Murat

  This study covers the design and statistical randomness-based performance analysis of an Arduino-based True Random Number Generator (TRNG) that uses environmental analog noise as a randomness source. The environmental analog noise used as the randomness source was sampled from the Arduino's A_0-A_4 pins, mixed at the bit level, and then subjected to the SHA-256 hash function in the post processing stage. The 256-bit random number blocks obtained using this method were transferred via the serial port and converted into a format suitable for NIST SP-800-22 and Dieharder tests. In terms of statistical randomness, the random numbers achieved successful results in all NIST tests and in 93.94% of the Dieharder tests. However, Shannon entropy and bias analyses showed that the generated numbers did not carry structural patterns. The study demonstrates that reliable randomness can be obtained even under limited hardware and low energy conditions, showing that the developed structure provides an accessible and reproducible platform for educational use, embedded system security, and lightweight cryptographic applications.

  İncele
• MakaleAçık Erişim2026/r/munzur/5941
  Deep learning-based short-term cryptocurrency price forecasting using LSTM models enhanced with technical indicators

  Çelik, Yusuf; İnce, İrem Sevda

  This study investigates short-term cryptocurrency price forecasting using deep learning methods. Minute-level price and volume data for BTC/USDT and ETH/USDT trading pairs were obtained through the Binance API and analyzed under different temporal resolutions, including hourly and 15-minute forecasting scenarios. Recurrent neural network architectures, including LSTM, GRU, and BiLSTM, were evaluated using different loss functions to identify effective configurations for short-term forecasting. Experimental results show that deep learning models can achieve high forecasting accuracy for high-frequency cryptocurrency data. In particular, the LSTM model trained with a weighted loss function demonstrated strong and stable prediction performance. In addition, incorporating technical indicators as auxiliary features enriched the feature space and improved forecasting capability. The results also suggest that aligning the temporal resolution of technical indicators with the prediction frequency can further enhance model performance. Overall, the proposed framework provides an effective deep learning–based approach for short-term cryptocurrency price forecasting in high-frequency financial markets.

  İncele
• MakaleAçık Erişim2026/r/munzur/5939
  Investigation of heavy metal accumulation in Typha latifolia exposed to mine drainage waters

  Tatar, Sule; Okuduci, Ebru

  In this study, the accumulation of some heavy metals in water, sediment, and Typha latifolia plant species was investigated in a previously operated mining area located in the Hozat region of Tunceli. In the first phase of the study, water and soil samples were collected from sites where T. latifolia was dominant. The metal uptake capacities from soil to roots, stems, and leaves of the plants were examined for different metals as silver (Ag), barium (Ba), cadmium (Cd), copper (Cu), nickel (Ni), lead (Pb), strontium (Sr), zinc (Zn). Water, sediment, and plant samples collected from the field were analyzed for the above elements at ultra-low detection limits using ICP-MS at ACME Analytical Laboratories in Canada. Bioconcentration factors (BCF-R, BCF-S, BCF-L, respectively) for the root, stem, leaf, and translocation factor (TF) values were calculated. The highest TF value was found to be 0.85 for Sr. The highest bioconcentration factors in the root, stem, and leaves of the plant were also found to be 3.67, 1.55, and 1.79 for Sr, respectively. According to the results obtained, T. latifolia was found to be a suitable plant for the bioaccumulation of Cd, Pb, Cu, and Sr under the existing environmental conditions, but not a suitable bioaccumulator for Ag, Ba, Ni, and Zn. Based on the results, it was determined that some heavy metal pollutants can be remediated using certain plants, and that these plants can function as bioaccumulators for these metals.

  • 
  • 
  İncele
• MakaleAçık Erişim2026/r/munzur/5938
  Application of machine learning techniques for multi-class classification performance on mental disorders

  Can, Umit

  The contemporary social framework is predicated on a fiercely competitive system, which amplifies individual pressure and subsequently elevates the incidence of mental diseases, significantly affecting public health. Consequently, governmental and non-governmental groups allocate considerable resources to tackle these concerns. The precise identification of such illnesses via artificial intelligence techniques has become critically significant. These methodologies, widely used across several healthcare sectors, have been increasingly adopted in psychiatry. Evaluating psychiatric data to forecast disease accurately enables doctors to make better decisions and establishes a robust decision-support framework. This work employed prevalent machine learning techniques to identify mental illnesses utilizing a dataset with labels for seven distinct mental states—six disorders and one normative condition. The approaches were initially evaluated on an imbalanced dataset and subsequently on a balanced dataset, facilitating comparison of the outcomes. Among Categorical Boosting, Gradient Boosting, Extreme Gradient Boosting, Support Vector Machine, and Logistic Regression, the Support Vector Machine method demonstrated superior performance on both balanced and imbalanced datasets.

  • 
  İncele
• MakaleAçık Erişim2025/r/munzur/6185
  Effects of molar ratio, temperature and water content on acidity and viscosity of deep eutectic solvent formed from Choline Chloride-Ethylene Glycerol

  Aydın, Çağlar Mert

  Deep eutectic solvents (DESs) become preferred solvents owing to unique features and promising environmentally friendly nature they have. Evaluation their properties is essential in order to use them effectively. Even though DESs are a good alternative to classic solvents, their viscosity is high, limiting their usage in industrial applications. However, this can be overcome by adding cosolvent or varying application conditions. In this study, the effect of temperature ranging from 200C to 600C (293.15- 333.15 K), molar ratio (1:1 to 1:9) and cosolvent addition (water) on acidity and viscosity of DES were investigated. Overall, as a result of this study, operation conditions had a significant effect on acidity and viscosity of DESs. Acidity and viscosity of DESs were on decrease as molar ratio increased, and the increase in temperature negatively affected viscosity of DESs. Dynamic viscosity of DESs were temperature dependence, following Vogel-Fulcher-Tammann (VFT) equality. Cosolvent addition decreased viscosity of DESs. Addition of water higher than 25% did not have a significant effect on viscosity. In addition, water addition decreased acidity of DES up to 1:5 molar ratio, but no significant effect regardless of the amount of water addition on the acidity was determined. These results provide a new perceptive about the mechanism of DES designed for usage in food applications.

  İncele
• MakaleAçık Erişim2025/r/munzur/6184
  Determination of Total Phenolic Content, Phenolic Composition, Antioxidant Capacities and Some Physicochemical Features of Rosehip (Rosa canina) and Hawthorn (Crataegus Orientalis) Wild Fruits Growing in Tunceli

  Benzer, Fulya; Karakavuk, Emrah; Eroğlu, Zeynep; Çetin, Şenay Kasun

  The role of natural antioxidants is increasingly important in reducing the damaging effects of free radicals formed in daily life and due to various factors in our en-vironment. In this respect, hawthorn and rosehip fruits, which have high amounts of antioxidants and phenolic substances, attract attention. In this study, some phys-icochemical properties, antioxidant activities, total phenolic substance amounts (TFMM) and phenolic compound compositions of rosehip (Rosa canina) and hawthorn (Crataegus orientalis) fruits growing naturally in Tunceli province were investigated. TFMM was determined as 1265.02-1344.68 in rosehip fruits grown in Tunceli and 318.18-370.85 mg GAE kg-1 fresh weight in hawthorn fruits, antiox-idant activity was determined as 4.83-5.26 in rosehip fruits and 1.85-2.36 μmol AAE g-1 fresh weight in hawthorn fruits. A statistical difference was determined between rosehip and hawthorn wild fruits in terms of antioxidant activity and TFMM, and it was observed that rosehip fruit had higher values than hawthorn fruit in terms of both parameters. It was determined that hawthorn fruit contained higher amounts of epigallocatechin, protocatechuic acid and quercetin-3-glucoside phenolic compounds than rosehip fruit and the difference between the two fruit contents was statistically significant.

  • 
  İncele
• MakaleAçık Erişim2025/r/munzur/6137
  Evaluation On the Industrial Use of Vegetable Dyes in Textile Printing

  Ayvaz, Kartal Murat

  In this study, the industrial use of natural dyes obtained from plant wastes in the field of textile printing was aimed, discussed, new methods (digital printing and screen printing) were brought to the agenda and applications were made. When the study is evaluated from this perspective, it is important and resource-based in terms of the field. Within the scope of the study, printing applications were made on cotton fabrics with goldenrod, rosehip and onion peel used as dyestuff sources, and the relevant fastness tests were also performed in the laboratory environment and the relevant results were listed. As a result of the study, it was revealed that the industrial usability of rosehip and onion peel as a dyestuff source in the field of textile printing, while it was determined that goldenrod was at the desired level in terms of coloring in artistic works, but it was not at a sufficient fastness level from an industrial perspective and could be improved with R&D studies.

  • 
  İncele