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
- MakaleAçık Erişim2024Scopus SJRQ2Photocatalytic Hydrogen Evolution of TiZrNbHfTaOx High-Entropy Oxide Synthesized by Mechano-Thermal Method
Güler, Ömer; Boyrazlı, Mustafa; Albayrak, Muhammet Gökhan; Güler, Seval Hale; Ishihara, Tatsumi; Edalati, Kaveh
One of the most promising solutions to slow down CO2 emissions is the use of photocatalysis to produce hydrogen as a clean fuel. However, the efficiency of the photocatalysts is not at the desired level, and they usually need precious metal co-catalysts for reactions. In this study, to achieve efficient photocatalytic hydrogen production, a high-entropy oxide was synthesized by a mechano-thermal method. The synthesized high-entropy oxide had a bandgap of 2.45 eV, which coincided with both UV and visible light regions. The material could successfully produce hydrogen from water under light, but the main difference to conventional photocatalysts was that the photocatalysis proceeded without a co-catalyst addition. Hydrogen production increased with increasing time, and at the end of the 3 h period, 134.76 µmol/m2 h of hydrogen was produced. These findings not only introduce a new method for producing high-entropy photocatalysts but also confirm the high potential of high-entropy photocatalysts for hydrogen production without the need for precious metal co-catalysts.
AtıfScopus33WoS30
İncele - MakaleAçık Erişim2024Scopus SJRQ2Enhanced impedance, electrical conductivity, dielectric properties for colloidal starch-g-poly (methyl methacrylate) supported with semiconductor cadmium sulfide
Torğut, Gülben; Gürler, Nedim
In this study, starch-graft-poly (methyl methacrylate) (starch-g-PMMA) composites doped with different amounts (5, 10, and 15 wt%) of cadmium sulfide (CdS) particles were fabricated for electrical measurements using in-situ polymerization technique. The structural characterization of the samples was studied. The dielectric and conductivity properties of the composites were investigated using impedance analyzer depending on the frequency (100 Hz–20 kHz) at room temperature. Spectroscopy revealed that the dielectric constant (ε′), dielectric loss (ε′′), and real (Z) components of impedance are found to decrease with increasing frequency for both starch-g-PMMA and starch-g-PMMA (5, 10, and 15 wt%) composites. On the contrary, the AC conductivity (σac) of samples increased with increasing frequency. In addition, ε′ and ε′′ values of starch-g-PMMA were lower than composites that added CdS. When the CdS content increased from 0 to 15%, ε′ increased from 5.62 to 15.10 at 100 Hz. AC conductivity was improved after adding the CdS particles. The maximum conductivity value for starch-g-PMMA15%CdS is found to be 3.07 × 10–7 at 100 Hz. When the dielectric properties of composites are evaluated, it is concluded that it is an exciting material for electronic applications in technology.
AtıfScopus9WoS8OpenAlex10İncele - MakaleAçık Erişim2024Scopus SJRQ1Integrated Approach Using Intuitionistic Fuzzy Multicriteria Decision-Making to Support Classifier Selection for Technology Adoption in Patients with Parkinson Disease: Algorithm Development and Validation
Ortiz-Barrios, Miguel; Cleland, Ian; Donnelly, Mark; Gul, Muhammet; Yucesan, Melih; Jiménez-Delgado, Genett Isabel; Nugent, Chris; Madrid-Sierra, Stephany
Background: Parkinson disease (PD) is reported to be among the most prevalent neurodegenerative diseases globally, presenting ongoing challenges and increasing burden on health care systems. In an effort to support patients with PD, their carers, and the wider health care sector to manage this incurable condition, the focus has begun to shift away from traditional treatments. One of the most contemporary treatments includes prescribing assistive technologies (ATs), which are viewed as a way to promote independent living and deliver remote care. However, the uptake of these ATs is varied, with some users not ready or willing to accept all forms of AT and others only willing to adopt low-technology solutions. Consequently, to manage both the demands on resources and the efficiency with which ATs are deployed, new approaches are needed to automatically assess or predict a user’s likelihood to accept and adopt a particular AT before it is prescribed. Classification algorithms can be used to automatically consider the range of factors impacting AT adoption likelihood, thereby potentially supporting more effective AT allocation. From a computational perspective, different classification algorithms and selection criteria offer various opportunities and challenges to address this need. Objective: This paper presents a novel hybrid multicriteria decision-making approach to support classifier selection in technology adoption processes involving patients with PD. Methods: First, the intuitionistic fuzzy analytic hierarchy process (IF-AHP) was implemented to calculate the relative priorities of criteria and subcriteria considering experts’ knowledge and uncertainty. Second, the intuitionistic fuzzy decision-making trial and evaluation laboratory (IF-DEMATEL) was applied to evaluate the cause-effect relationships among criteria/subcriteria. Finally, the combined compromise solution (CoCoSo) was used to rank the candidate classifiers based on their capability to model the technology adoption. Results: We conducted a study involving a mobile smartphone solution to validate the proposed methodology. Structure (F5) was identified as the factor with the highest relative priority (overall weight=0.214), while adaptability (F4) (D-R=1.234) was found to be the most influencing aspect when selecting classifiers for technology adoption in patients with PD. In this case, the most appropriate algorithm for supporting technology adoption in patients with PD was the A3 - J48 decision tree (M3=2.5592). The results obtained by comparing the CoCoSo method in the proposed approach with 2 alternative methods; (simple additive weighting and technique for order of preference by similarity to ideal solution) support the accuracy and applicability of the proposed methodology. It was observed that the final scores of the algorithms in each method were highly correlated (Pearson correlation coefficient >0.8). Conclusions: The IF-AHP-IF-DEMATEL-CoCoSo approach helped to identify classification algorithms that do not just discriminate between good and bad adopters of assistive technologies within the Parkinson population but also consider technology-specific features like design, quality, and compatibility that make these classifiers easily implementable by clinicians in the health care system.
AtıfScopus5OpenAlex5İncele - Kitap BölümüAçık Erişim2024Scopus SJRQ4Heavy Metals in Cetraria islandica: Health Risk Assessment
Topal, Murat; Arslan Topal, E. Işıl; Öbek, Erdal; Aslan, Ali
In this chapter, potential human health risk of the heavy metals associated with usage of Cetraria islandica were evaluated. Heavy metals (lead, cadmium, manganese, chromium, copper, zinc, and nickel) were determined in Cetraria islandica. Highest and lowest heavy metal values were 87 ± 4.3 mg/kg for manganese (Mn) and 0.12 ± 0.01 mg/kg for cadmium (Cd). When potential health risk was assessed, the doses of exposure for man, woman, and child followed the order of bread > tea > dermal. Risk of health for bread and tea were child > woman > man. Also, risk of health for dermal was woman > child > man. Non-carcinogenic risk was woman > child > man for dermal way. Non-carcinogenic risks were child > woman > man for dietary. Highest total hazard index (THI) was 6.33 for chromium (Cr), lowest THI was 0.22 for zinc (Zn). THIs were zinc < copper < cadmium < nickel < lead < manganese < chromium. The THIs were higher than 1 for chromium, manganese and lead. Total highest carcinogenic value was 1.73E−03 for Ni and minimum was 1.19 E−05 for lead. Carcinogenic risks for bread (cadmium, nickel and chromium) were high. As a result, it was determined that Cetraria islandica may cause cancer risk if consumed as additive in bread. It was determined that if Cetraria islandica was consumed as tea and cream, there would be no risk of cancer and could not adversely affect human health.
- MakaleAçık Erişim2024Scopus SJRQ1Changes in quality characteristics and inactivation of Salmonella in cake, including oleogel used as a fat replacer, baked with two different methods
Ozdemir-Orhan, Necla; Eroglu, Zeynep; Omac, Basri
This is the first study to assess the impact of substitution of shortening (50%) with sunflower-beeswax oleogel in cake formulations on the inactivation kinetics of Salmonella spp. and the quality attributes of cakes baked in conventional (CO) and microwave (MWO) ovens. Four distinct cake samples were examined in the study: Cake samples containing oleogel prepared in two different ovens (Oleo-Cake-CO and Oleo-Cake-MWO) and control cake samples baked in two different ovens (Cont-Cake-CO and Cont-Cake-MWO). The control-batter and oleogel-batter demonstrated shear thinning behavior (pseudoplastic, n < 1), with a good fit to the Power Law model, but viscosity and viscoelastic moduli decreased when the oleogel was used in place of shortening in cake recipes. In addition, the Cont-Cake-MWO had the greatest special volume value (2.31 ± 0.04 mL/g), whereas the Oleo-Cake-CO had the lowest (1.65 ± 0.02 mL/g) (p < 0.05). Furthermore, compared to the samples baked with CO, lower water activity and moisture values (p < 0.05) were observed in the samples baked in MWO due to their higher cooking loss values (p < 0.05). In all baking techniques, the addition of oleogel to the cake formula, used as a fat substitute, resulted in higher values for cohesiveness, hardness, springiness, and chewiness (p < 0.05). As a result, the inactivation of Salmonella in cakes slightly reduced with using oleogel as a fat substitute (p > 0.05), whereas it affected some quality properties of cakes baked with both heat treatments.
AtıfScopus4WoS4OpenAlex5İncele - MakaleAçık Erişim2024Scopus SJRQ4Perceived COVID-19 anxiety, fear and depression levels among university students during the decreased restrictions of COVID-19 pandemic
Baş, Kazım
Introduction and aim. The COVID-19 pandemic has negatively impacted human life. It is observed that a significant group affected by this situation are university students. Evaluating the psychological states of students during the transition to normal life from the pandemic period is important. This study was conducted to examine the perceived levels of COVID-19 anxiety, fear, and depression among university students during the descreased restrictions of the COVID-19 pandemic. Material and methods. This cross-sectional study was conducted with 1170 university students. The data were collected using “the Introductory Information Form, the Fear of COVID-19 Scale, the Coronavirus Anxiety Scale – Short Form, and the Depression Scale. Results. It was observed that there was a difference between gender, class, education level, income level, having had COVID-19, and having a deceased relative due to COVID-19 and perceived COVID-19 anxiety and fear and depression levels among university students (p<0.05). Conclusion. During the COVID-19 pandemic, although restrictions have been lifted, students still experience moderate levels of COVID-19 anxiety, fear, and depression. Therefore, considering the factors that affect university students’ mental state, there is a need for services that support students’ mental well-being.
- MakaleAçık Erişim2024Scopus SJRQ3Four bryophyte species new to Türkiye and South-West Asia
Batan, Nevzat; Taşçi, Nurtaç; Mamontov, Yuriy S.; Erata, Hüseyin; Alataş, Mevlüt; Ezer, Tülay
Scapania praetervisa, Scapania mucronata, Solenostoma confertissimum, and Platyhypnum alpinum found as new to Türkiye following a recent bryofloristic excursion in Artvin region (Caucasian part of Türkiye). Platyhypnum alpinum is also new to Asia. Descriptions, illustrations, distributions, habitat characteristics, and comparisons with morphologically similar taxa are briefly given.
AtıfScopus2OpenAlex7İncele - Kitap BölümüAçık Erişim2024Recent trends in evaporation techniques
Icier, Filiz; Doner, Deniz; Cokgezme, Omer Faruk; Sabanci, Serdal; Cevik, Mutlu
Increasing energy costs of the food industry and the necessity to reduce emissions of greenhouse gases orient the researchers to find alternative solutions to increase energy efficiency, and to decrease waste and environmental damage. Hence, the use of novel technologies comes to the fore. Since volumetric heating could be provided by Ohmic and microwave heating methods, a heating medium is not required. Thus it is possible to reduce undesirable changes in quality attributes by eliminating contact with hot surfaces and providing rapid heating. The negative effects on the environment could also be reduced owing to both utilization of efficient energy for the heating process and the elimination of wastewater. Alternative nonthermal methods including ultrasound, membrane filtration, pulsed electric field, and electroplasmolysis techniques could also be applied. In this chapter, recent studies on the evaporation techniques, regarding their system setups, effects on the quality characteristics, and performance evaluations are reviewed.
- MakaleAçık Erişim2024Scopus SJRQ2The influence of cold rolling and hydroxyapatite coating on the mechanostructure, corrosion resistance, cell viability, and antibacterial activity of ZnCu biodegradable implants
Aksakal, B.; Karadogan, S.A.; Aslan, N.; Fidan, F.; Yilmazer, Y.; Sezek, S.
Zinc (Zn) and its alloys exhibit great potential for utilization in biodegradable bone implants. Zn-1Cu biodegradable alloy was produced and were cold rolled at two different deformation rates of 47 and 61%. The samples have been bioceramic coated with the sol–gel method and microstructure-mechanical property changes, corrosion behavior and biocompatibility of the samples were investigated. They were characterized by Optical, SEM, XRD and wettability analysis. The rolled samples showed a significant increase in hardness when compared to the non-rolled samples. The unrolled and 47% rolled samples showed better corrosion resistance compared to 61% rolled samples. Antibacterial effects of the base and sol–gel-coated groups showed higher cell viability ratios than the uncoated groups. Cell viability increased significantly in 47% of the rolled samples after 24, 48, and 72 h, however decreased by up to 70% in 61% of the rolled samples. Graphical abstract: (Figure presented.).
AtıfScopus2WoS2OpenAlex2İncele - DüzeltmeAçık Erişim2024Scopus SJRQ2Correction: Genotoxic effects of copper nanoparticles on Vicia pannonica Crantz. root meristem cells (Journal of Nanoparticle Research, (2024), 26, 8, (185), 10.1007/s11051-024-06096-y)
Tasar, Neslihan
The original version of this article unfortunately contained incorrect Figs. 2, 3, and 4. Lastly, Open access cancellation shall be initiated. The approval manager initially approved the article by mistake, and they approved it above their maximum article threshold by accident. (Figure presented.) (Figure presented.) (Figure presented.) A Adhesion in prophase, B distorted prophase, C metaphase, D distorted metaphase, E non-collection in metaphase plaque, F lagging chromosome in metaphase, G adhesion in metaphase, H chromosome loss in metaphase, I chromosome breakage in metaphase, J asynchronous division in anaphase, K distorted anaphase, L lagging chromosome in anaphase, M polar deviation in anaphase, N chromosome bridges in anaphase, O advance in anaphase, P polar deviation in telophase, R bridge in telophase, S lagging chromosome in telophase, T distorted telophase, U adhesion in telophase (magnification = × 100) A The scanning electron microscopy (SEM) image of the control group, EDS characteristic spectrum, and mapping image. B The scanning electron microscopy (SEM) image of the sample that was prepared with 50 ppm Cu NPs, EDS characteristic spectrum, and mapping image. C The scanning electron microscopy (SEM) image of the sample that was prepared with 150 ppm Cu NPs, EDS characteristic spectrum, and mapping image. D The scanning electron microscopy (SEM) image of the sample that was prepared with 300 ppm Cu NPs, EDS characteristic spectrum, and mapping image The XRD plots of the samples that were obtained from V. pannonica plant grown with Cu (40–60 nm) NP
- MakaleAçık Erişim2024Scopus SJRQ3Synthesis and characterization of chitosan-based pH-sensitive biofilm: An experimental design approach for release of vitamin B12
Onal, Ali; Demir, Hulya; Ince, Olcay Kaplan; Ince, Muharrem
Hydrogels because of their unique potentials, such as highwater content and hydrophilicity, are of interest for the controlled release of drug molecules. In the present study, a biofilm was produced using chitosan, a natural polymer. Characterization analyses of the synthesized biofilm were performed using Fourier-transform infrared spectroscopy (FT-IR), thermogravimetric analysis-differential thermal analysis, x-ray diffraction, and scanning electron microscopy-energy dispersive x-ray spectrometry. The analysis results of the film before loading were compared to the analysis made after adding vitamin B12 to the film. The release percentage of vitamin B12 was investigated by using ultraviolet-visible spectrophotometery. The FT-IR bands of vitamin B12 were in the range of 2,800-3,500 cm-1 and 1,000 cm-1-1,750 cm-1. When pH increased from 3 to 7, release of vitamin B12 from the biopolymer increased up to pH 5. While examining the release potential, parameters, such as pH, initial concentration of vitamin B12, release time, and solution volume, were optimized by using response surface methodology. It was determined that with the increase in release time and the initial concentration, pH contributed positively to the release of vitamin B12. The following conditions were determined for release of vitamin B12 from the biofilm: pH: 4.2, initial concentration of vitamin B12: 54.0 mg L-1, the release time: 117 min, and volume of solution: 2.1 mL. The analysis of variance results showed that the determination coefficients for the use of synthesized biofilm in vitamin B12 release were high and R2 =0.9704.
AtıfScopus9WoS9OpenAlex10İncele - MakaleAçık Erişim2024Scopus SJRQ1Determining the Levels of Cortisol, Testosterone, Lactic Acid and Anaerobic Performance in Athletes Using Various Forms of Coffee
Gür, Melda; Çınar, Vedat; Akbulut, Taner; Bozbay, Kenan; Yücedal, Polat; Aslan, Mehdi; Avcu, Gökçe; Padulo, Johnny; Russo, Luca; Rog, Joanna
Background: Coffee is considered one of the most preferred and consumed beverage types in the world, and caffeine is known to increase physical performance due to its ergogenic properties. The aim of this study is to examine the effects of coffee consumption in different forms on cortisol, testosterone, lactic acid and anaerobic performance levels. Methods: A total of 15 licensed male football players participated in the research voluntarily. The research was implemented in a single-blind, counterbalanced, randomized and crossover study design. Participants were given caffeinated coffee (CK), decaffeinated coffee (placebo) (DK), powdered caffeine (in a gelatin capsule) (PC) and powdered placebo (maltodextrin in a capsule) (PM) on different days, and the Wingate test protocol was performed after the warm-up protocol. Blood samples were collected post-test. Cortisol, testosterone and lactic acid levels in the serum samples taken were determined by the ELISA method. Results: As a result, it was revealed that caffeinated coffee given to participants who exercise increased anaerobic power. However, it was observed that lactic acid levels were higher in placebo and decaffeinated coffee. The highest level of cortisol was found in caffeinated coffee and powdered caffeine compared to the placebo. Testosterone values were observed to be highest in caffeinated coffee and decaffeinated coffee compared to a placebo. Conclusions: The study suggests that the type of caffeine is a factor that affects absorption rate, which impacts performance and hormone levels.
AtıfScopus9OpenAlex12İncele - BildiriAçık Erişim2024Effect Of The Actıvatıon Force On The Healıng Level Of Asphalt Mıxture Wıth Embedded Capsules
Yalcin, Erkut; Yilmaz, Mehmet; Yalcin, Beyza Furtana; El Naggar, H.; Barros, J.; Cachim, P.
By increasing the asphalt mixtures' inherent capacity for self-healing, encapsulated rejuvenators can extend the service lives of asphalt pavements. The capsules are shattered when crack damage occurs, allowing the rejuvenator ingredient to seep into the cracks. In this work, a brand-new kind of capsule was created. Sunflower oil was a rejuvenator in these capsules. We looked at how well asphalt mixture samples with and without capsules self-healed under static loading. The capacity for self-healing of asphalt mixtures incorporating a novel class of capsules that contain sunflower oil as a rejuvenating agent. For this reason, the ability of the rejuvenating ingredient to diffuse inside of samples of virgin bitumen and the healing potential of combinations of cracked asphalt containing capsules have both been assessed. Due to the mechanical properties of the polymeric capsules examined. Then, using a unique mechanical test, the impact of capsule content on the crack-healing characteristics of asphalt mixtures was assessed at various healing durations (from 5 to 216h) and loads (from 0 to 85kN). As the applied load increases, the healing levels of the asphalt samples with capsules rise; later, the healing levels of the asphalt samples with capsule remain constant. According to the findings, the maximal healing level was typically attained after 96 hours and remained constant until 216 hours.
- MakaleAçık Erişim2024Scopus SJRQ2Hybrid Deep Learning Model for Earthquake Time Prediction
Utku, Anıl; Akcayol, Muhammet Ali
Earthquakes are one of the most dangerous natural disasters that have constantly threatened humanity in the last decade. Therefore, it is extremely important to take preventive measures against earthquakes. Time estimation in these dangerous events is becoming more specific, especially in order to minimize the damage caused by earthquakes. In this study, a hybrid deep learning model is proposed to predict the time of the next earthquake to potentially occur. The developed CNN+GRU model was compared with RF, ARIMA, CNN and GRU. These models were tested using an earthquake dataset. Experimental results show that the CNN+GRU model performs better than others according to MSE, RMSE, MAE and MAPE metrics. This study highlights the importance of predicting earthquakes, providing a way to help take more effective precautions against earthquakes and potentially minimize loss of life and material damage. This study should be considered an important step in the methods used to predict future earthquakes and supports efforts to reduce earthquake risks.
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İncele - MakaleAçık Erişim2024Scopus SJRQ1A comprehensive microstructural and transmission analysis on oxide dispersion-strengthened (ODS) alloys: Impact of erbium oxide (Er2O3) concentration on physical, structural, gamma-ray, and neutron attenuation properties
Günoglu, Kadir; Güler, Seval Hale; Güler, Ömer; ALmisned, Ghada; Ozkavak, Hatice Varol; Albayrak, M. Gokhan; Akkurt, Iskender; Issa, Bashar; Tekin, H.O.
This study explores the impact of integrating varying concentrations of Erbium Oxide (Er2O3) into Oxide Dispersion Strengthened (ODS) alloys, specifically focusing on gamma-ray and neutron attenuation properties. Utilizing a 316L stainless steel matrix, Er2O3 was methodically incorporated in concentrations ranging from 1 % to 21 % by weight. The structural and radiation attenuation properties of the resultant alloys were comprehensively analyzed using techniques such as X-ray diffraction (XRD), Scanning Electron Microscopy (SEM), and experimental gamma-ray transmission studies. The results demonstrate a significant enhancement in gamma-ray shielding with increased Er2O3 content. This enhancement is quantitatively evidenced by increased linear attenuation coefficient, elevated effective Electron Density (Neff), reduced Half-Value Layers (HVL), and higher effective atomic numbers (Zeff). These findings are crucial for nuclear applications where efficient gamma-ray shielding is paramount. Conversely, a decrease in the effective removal cross section (ΣR) for neutron attenuation was observed with higher Er2O3 concentrations. This suggests a potential compromise in neutron shielding efficiency, attributed to the dilution of neutron-absorbing base elements in the alloy. Additionally, the study reveals notable changes in the microstructural properties of the alloys, including alterations in particle size, distribution, and agglomeration, influenced by varying Er2O3 concentrations. In conclusion, this research provides valuable insights into the design of ODS alloys for nuclear radiation shielding, highlighting the balance between gamma-ray attenuation and neutron shielding properties. The study's findings contribute to the development of advanced materials for safer and more efficient nuclear technology applications.
AtıfScopus20OpenAlex25İncele - MakaleAçık Erişim2024Scopus SJRQ2Detection of Threats to Farm Animals Using Deep Learning Models: A Comparative Study
Korkmaz, Adem; Agdas, Mehmet Tevfik; Kosunalp, Selahattin; Iliev, Teodor; Stoyanov, Ivaylo
The increasing global population and environmental changes pose significant challenges to food security and sustainable agricultural practices. To overcome these challenges, protecting farm animals and effectively detecting potential environmental threats is critical for economic and ecological sustainability. In this context, the current study examined the animal detection capabilities and efficiency of advanced deep learning models, such as YOLOv8, Yolo-NAS, and Fast-RNN, across a dataset of 2462 images encompassing various animal species that could pose a risk to farm animals. After converting the images into a standardized format, they were divided into three sets for training, validation, and testing, and each model was evaluated on this dataset during the analysis process. The findings indicated that the YOLOv8 model demonstrated superior performance, with 93% precision, 85.2% recall, and 93.1% mAP50 values, while Yolo-NAS was particularly noteworthy for its high recall value, indicating a remarkable detection ability. The Fast-RNN model also offered significant efficiency with balanced performance. The results reveal the considerable potential of deep learning-based object detection technologies in protecting farm animals and enhancing farm security. Additionally, this study provides valuable insights for future model optimization and customization research.
AtıfScopus9WoS7OpenAlex7İncele - MakaleAçık Erişim2024Scopus SJRQ2A novel convolutional neural network model with hybrid attentional atrous convolution module for detecting the areas affected by the flood
Şener, Abdullah; Doğan, Gürkan; Ergen, Burhan
Natural disasters are sudden and unexpected events that occur as a result of natural processes and often have a significant impact on people, animals, and plants, often resulting in material and emotional losses. Two of the most devastating disasters are floods and tsunamis. After these disasters, search and rescue operations to identify flooded areas are very important to save the lives of affected people and to ensure the health and safety of rescue workers. In this study, a novel semantic segmentation model called Flood Area Segmentation Network (FASegNet) was proposed to guide search and rescue teams in disaster areas to speed up search and rescue operations after natural disasters such as floods, high tides, and tsunamis. The obtained results were compared with common image segmentation models used in various fields. It was found that the developed model achieved higher accuracy rates with fewer parameters. When tested with the "Flood Area" and "Water Body" datasets without pretraining and data augmentation, FASegNet achieved mIoU accuracy of 84.3% and 84.5% respectively.
AtıfScopus23WoS21OpenAlex23İncele - MakaleAçık Erişim2024Scopus SJRQ2A comparison of the performance of different innovative trend assessment approaches for air temperature and precipitation data: an application to Elazığ Province (Turkey)
Acar, Ramazan
In this study, the temporal variability of monthly total precipitation and monthly average temperature data of Palu station were analyzed. In addition to statistical analysis such as Mann–Kendall (MK) and SR, innovative polygon trend analysis (IPTA), innovative trend analysis (ITA), and combination of Wilcoxon test and scatter diagram (CWTSD) methods were used in the study. A total of 24 trend analyses (for 12 months of precipitation and temperature data) were conducted for each method used for temperature and precipitation parameters in the study. Look-ing at the results of these methods, a decreasing trend was detected only in December for precipitation data, common to all methods. For temperature data, an increasing trend was detected only in February and March. With the application of the IPTA, an increasing trend in some months and a decreasing trend in other months were detected for the two parameters. The Wilcoxon test exhibits significant consistency with the MK and Spearman's Rho (SR) in terms of the statistical trend, according to the examination of temperature and precipitation data using the CWTSD approach, which is relatively recent. Furthermore, the visual trend analysis demonstrates high consistency between the NO-ITA and Sȩn-ITA approaches.
AtıfScopus23WoS20OpenAlex34İncele - MakaleAçık Erişim2024Scopus SJRQ1Optimization and Kinetic Study of Manganese Leaching from Pyrolusite Ore in Hydrochloric Acid Solutions with Oxalic Acid
Karacahan, Mehmet Kayra
The leaching behavior of pyrolusite minerals was examined in hydrochloric acid solutions, including oxalic acid, to evaluate the influence of various experimental conditions. The optimum parameters for the leaching process were found in the first stage, and the process's kinetics were assessed in the second. The concentrations of oxalic acid, hydrochloric acid, and temperature were chosen as independent variables in the optimization experiments, with the central composite design used to analyze the experimental data. The optimum concentrations for oxalic acid, hydrochloric acid, and temperature were determined to be 0.75 mol/L, 1.2 mol/L, and 60 °C, respectively. The leaching rate was determined to be 97.4% for 120 min of response time in optimum situations. The kinetic assessment experiments studied the effects of solid/liquid ratio, particle size, stirring speed, and temperature on the manganese leaching rate from pyrolusite. In the studies, the leaching rate was shown to rise with increasing temperature and stirring speed, as well as with decreasing particle size and solid/liquid ratio. The kinetic analysis revealed that the leaching kinetics matched the mixed kinetic model, and a mathematical model for the leaching process was developed. This process's activation energy was determined to be 29.05 kJ/mol. Graphical Abstract: (Figure presented.)
AtıfScopus17WoS15OpenAlex18İncele - MakaleAçık Erişim2024Scopus SJRQ2New national and regional bryophyte records, 76
Ellis, L.T.; Afonina, O.M.; Alataş, M.; Alia, H.B.M.; Alvarez, J.; Aponte Rojas, A.M.; Atwood, J.J.; Bacilliere, G.; Batan, N.; Biberdžić, V.
AtıfScopus12OpenAlex12İncele