Scopus İndekslenen Yayınlar

Permanent URI for this collectionhttps://hdl.handle.net/20.500.12597/3197

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3D numerical analysis of a Li-ion battery cooling system with honeycomb configuration in electrical vehicles
(Elsevier B.V., 2024) Nazlı, C.; Gürdal, M.; Arslan, K.
This study focuses on the thermal challenges faced by lithium-ion batteries in electric vehicles and the importance of effective thermal management systems. It has been conducted a 3D numerical analysis to investigate the impact of different distances between batteries on heat transfer and flow characteristics in an air-cooled cooling module with an innovative honeycomb configuration. Boundary conditions and the study results were given with dimensionless parameters with longitudinal ratio (x/λ), distance ratio (λ), and height ratio (y/H). It was found that smaller distances between batteries let to higher temperatures at the beginning of the cooling channel due to the shorter channel width. However, as the distance between batteries increases, convective heat transfer performance improves, resulting in better temperature distributions and higher Nusselt numbers. The results shed light on the importance of optimizing the spatial arrangement of batteries in a cooling module to achieve efficient thermal management. This research contributes to bridging existing gaps in knowledge regarding battery thermal management in electric vehicles and provides insights for the design and development of more effective cooling strategies for lithium-ion batteries. In conclusion, according to the distance between batteries (S=1–3-5 mm) under a laminar flow regime, the best average Nussell numbers obtained for S=5 mm %17 and %7 heat enchantments compared to other S=1 mm and S=3mm cases, respectively. It can be observed that the convective heat transfer performance is optimal when all cases are located on the 9th battery. After the 9th battery column, the optimal heat transfer performance was observed for a thickness of 5 mm. The S=3 mm case exhibited a 7 % reduction in convective heat transfer performance compared to the S=5 mm case.
A Bibliometric Analysis of Scientific Research in Türkiye on National Parks Between 2002 and 2021
(Istanbul University-Cerrahpasa, 2024) Yelsiz, M.Ş.; Yücedaǧ, C.; Çiçek, N.; Ayan, S.
In Türkiye, national parks play a prominent role among protected areas. Besides meeting people's recreational needs, these protected areas are home to natural and cultural resources. As a result, numerous research has been conducted to find out more about assets and recreational uses of these areas. In this study, the bibliometric analysis method was used to examine research published in Türkiye on national park between 2002 and 2021 within the scope of Clarivate Analytics' Web of Science (WoS). For this purpose, 156 publications, selected from the WoS database, were analyzed. The year 2017 had the most publications. In addition to Türkiye, significant countries in the spatial distribution analysis of national parks included the United States and Italy. About 338 authors in all were included in the author analysis for the publications from national parks. The current study found that 117 different institutions had publications about the national park. The highest number of publications and citations originated from Karadeniz Teknik and Kastamonu Universities, respectively. In this study, the WoS database was used as search engine because it is the most frequently preferred and recognized database, containing all records of high-quality research publications and continuing to be regarded as one of the primary sources of bibliographic information. However, some publications in other databases, such as Scopus and Google Scholar, cannot be overlooked in further research.
A Climate-Sensitive Approach for Determining the Urban Growth Boundaries: Towards a Spatial Exploration for Bursa, Türkiye
(American Society of Civil Engineers (ASCE), 2023) Isinkaralar O.
Population growth is inevitable in urban areas responsible for climate crises worldwide, and urban development is affected by processes fed by many dynamics. Predicting and planning the growth limits of the city effectively is a critical issue for achieving sustainable urban growth and managing climate risks. The study used the cellular automata-Markov chain method to define development areas regarding natural structure and land use/land cover. It aimed to present a method that can be applied to different urban areas by focusing on effective urban growth management with a climate-sensitive approach. It offered a climate-sensitive approach to determining growth limits according to scenarios. The boundaries of 2030 have been determined for the city of Bursa, which exhibited an increased average summer value of the land surface temperature from 24°C to 45°C between 2012 and 2021, stands out with its natural riches, and shows a rapid urban growth trend. The proposed method modeled the limits of urban growth with a climate-sensitive approach, and the model's suitability was demonstrated by Kappa statistics (Klocation = 0.8884). The determined urban boundary will reduce the rate of the urban built-up area from 86% to 70% by 2030. © 2023 American Society of Civil Engineers.
A colorimetric immunoassay for the detection of human vascular endothelial growth factor 165 (VEGF165) based on anti-VEGF-iron oxide nanoparticle conjugation
(Springer, 2024) Ceylan, H.K.; Kırbay, F.Ö.; Yazgan, İ.; Elibol, M.
Vascular endothelial growth factor (VEGF) is an indispensable element in many physiological processes, while alterations in its level in the circulating system are signs of pathology-associated diseases. Therefore, its precise and selective detection is critical for clinical applications to monitor the progression of the pathology. In this study, an optical immunoassay biosensor was developed as a model study for detecting recombinant VEGF165. The VEGF165 sample was purified from recombinant Kluyveromyces lactis GG799 yeast cells. Indirect ELISA was used during the detection, wherein iron oxide nanoparticles (FeNPs) were utilized to obtain optical signals. The FeNPs were synthesized in the presence of lactose p-amino benzoic acid (LpAB). VEGF165 antibody was conjugated to the LpAB-FeNPs through EDC/NHS chemistry to convert the iron oxide nanoparticles into VEGF165 specific probes. The specificity of the prepared system was tested in the presence of potential serum-based interferents (i.e., glucose, urea, insulin, C-reactive protein, and serum amyloid A), and validation studies were performed in a simulated serum sample. The proposed immunoassay showed a wide detection range (0.5 to 100 ng/mL) with a detection limit of 0.29 ng/mL. These results show that the developed assay could offer a sensitive, simple, specific, reliable, and high-throughput detection platform that can be used in the clinical diagnostics of VEGF. Graphical Abstract: (Figure presented.)
A Comparative Study About Physical Properties of Copper Oxide and Zinc Oxide Nanoparticles on Fagus orientalis L. as Bioindicator
(Springer Nature, 2024) Isinkaralar, K.; Isinkaralar, O.; Özel, H.B.; Şevik, H.
Nanoparticles (NPs) have recently begun to be used extensively in many areas of our lives. It is stated that the resulting NPs pollution will affect even the most remote ecosystems on the Earth. Therefore, determining the effects of NPs on diverse ecosystems is a research topic of interest. From this perspective, current researches on NPs affecting forest ecosystems and forest trees are very scarce. The aim of this investigation was to reveal the inhibitory and toxic properties of CuO and ZnO-NPs on oriental beech seed germination parameters and identify the toxic threshold values of CuO and ZnO-NPs. Therefore, the oriental beech (Fagus orientalis L.) seeds obtained from ten populations (P1 to P10) were treated with CuO and ZnO-NPs as single compounds at concentrations of 200, 400, 600, 800 and 1000 mg/L and germination rate (GR), germination percentage (GP), root collar diameter (RCD), plumula length (PL), radicle thickness (RT) and radicle diameter (RD) were determined for 35 days. The water containing CuO-ZnO NPs as a single compound at 1000 mg/L negatively affected all growth in general. The significant decrease in our study occurred at P9. The CuO-ZnO NPs were reduced in GP, RCD, PL, RT, and RD as 3.5–4.2%; 11.2–0.1%; 9.1–36.4%; 23.07–38.46%; and 39.29–17.86%, while GR enhanced as 21.46–20.09%. It was found that water with a low concentration of NP (200 mg/L) is suitable for irrigation of seeds grown in soil media and does not have a significant toxic effect on the growth and uptake of metal ions. The findings and limitations of the present research allow us to assess the feasibility of reusing NP-contaminated water in agriculture. Nevertheless, further research is needed to understand the toxic effects of NP mixtures on growth and absorption mechanisms.
A critical ethnography on instructor-student interactions in a mathematics teacher education course
(Elsevier Ltd., 2023) Sadak M.
This study aimed to investigate the instructor-student interactions in a secondary level mathe matics teacher education course through a critical ethnographic perspective. Participants in the study were 16 pre-service teachers at one of the large midwestern universities in the U.S. The data for the study consists of the transcribed audio recordings collected in four classroom meetings as well as exclusive field notes. It was revealed as a result of the current study that negotiation - re negotiation mechanisms mediate the communications, which occur in accordance with the life worlds of students and instructor while system subordinates the lifeworld of these actors through its two main roots, contractual and normative systemic relationships. In addition, the reflection of these relationships on the instruction was also discussed. It is highly suggested for future re searchers to investigate these interactions with extended sample sizes as well as in different learning environments.
A cyber defense system against phishing attacks with deep learning game theory and LSTM-CNN with African vulture optimization algorithm (AVOA)
(Springer Science and Business Media Deutschland GmbH, 2024) Elberri, M.A.; Tokeşer, Ü.; Rahebi, J.; Lopez-Guede, J.M.
Phishing attacks pose a significant threat to online security, utilizing fake websites to steal sensitive user information. Deep learning techniques, particularly convolutional neural networks (CNNs), have emerged as promising tools for detecting phishing attacks. However, traditional CNN-based image classification methods face limitations in effectively identifying fake pages. To address this challenge, we propose an image-based coding approach for detecting phishing attacks using a CNN-LSTM hybrid model. This approach combines SMOTE, an enhanced GAN based on the Autoencoder network, and swarm intelligence algorithms to balance the dataset, select informative features, and generate grayscale images. Experiments on three benchmark datasets demonstrate that the proposed method achieves superior accuracy, precision, and sensitivity compared to other techniques, effectively identifying phishing attacks and enhancing online security.
A New Complication Reported for the First Time After Rhinoplasty: Demodicosis
(2024) Öner, F.; Öner, Ü.
A novel iterative scheme for solving delay differential equations and third order boundary value problems via Green’s functions
(American Institute of Mathematical Sciences, 2024) Okeke, G.A.; Udo, A.V.; Alqahtani, R.T.; Kaplan, M.; Ahmed, W.E.
In this paper, we constructed a novel fixed point iterative scheme called the Modified-JK iterative scheme. This iteration process is a modification of the JK iterative scheme. Our scheme converged weakly to the fixed point of a nonexpansive mapping and strongly to the fixed point of a mapping satisfying condition (E). We provided some examples to show that the new scheme converges faster than some existing iterations. Stability and data dependence results were proved for this iteration process. To substantiate our results, we applied our results to solving delay differential equations. Furthermore, the newly introduced scheme was applied in approximating the solution of a class of third order boundary value problems (BVPs) by embedding Green’s functions. Moreover, some numerical examples were presented to support the application of our results to BVPs via Green’s function. Our results extended and generalized other existing results in literature.
A study on sustainable foam concrete with waste polyester and ceramic powder: Properties and durability
(Elsevier Ltd, 2024) Bayraktar, O.Y.; Tunçtan, M.; Benli, A.; Türkel, İ.; Kızılay, G.; Kaplan, G.
The textile and apparel sectors currently produce millions of tons of textile waste annually on a global scale. Textile waste fibers are a viable option for sustainability as they can be utilized to reinforce cement-based composites internally by improving ductility and reducing the development of cracks. The issue of ceramic waste accumulation can be effectively resolved by using ceramic waste as supplementary cementitious materials (SCM), for sustainable construction, which also lowers energy use and CO2 emissions during the cement manufacturing process. This study evaluated the fresh, physico-mechanical, durability, and thermal characteristics of foam concrete (FC) reinforced with waste polyester (WP) incorporating waste ceramic powder (CP) as a replacement of cement in the rates of 0, 10 and 20 %. Twelve mixtures with a 0.3 water/binder (w/b) ratio were fabricated using a sodium lauryl sulfate foaming agent. The WP used in this study have four percentages of 0, 0.2, 0.4 and 0.6 % by volume. Durability performance of the mixtures for dry shrinkage, sulfate attack, high temperatures, alkali silica reaction and freeze-thaw cycles was also carried out. Microstructure of the mixtures was analyzed by SEM. Cost investigation and environmental impact of FC mixtures were also investigated. The findings indicated that the mixture with 10 % CP and 0.6 % WP had the largest 28-day compressive strength of 8.78 MPa, representing a 47 % decrease over the reference mixture (without CP and WP). The same mixture also exhibited the lowest dry shrinkage after the reference mixture. The mixture containing 0%CP and 0.2WP had the lowest thermal conductivity with a reduction of 74.0 % as per the reference mixture. The 0.4 % WP and 0%CP incorporated mixture exhibited the best thermal and F-T performance.
A technique of a “lab-on-a-chip” for developing a novel biosensor in viewpoint of health-care (PHC) applications and biological regulator sensors
(Emerald Publishing, 2024) Monajjemi, M.; Mollaamin, F.
Purpose: Recently, powerful instruments for biomedical engineering research studies, including disease modeling, drug designing and nano-drug delivering, have been extremely investigated by researchers. Particularly, investigation in various microfluidics techniques and novel biomedical approaches for microfluidic-based substrate have progressed in recent years, and therefore, various cell culture platforms have been manufactured for these types of approaches. These microinstruments, known as tissue chip platforms, mimic in vivo living tissue and exhibit more physiologically similar vitro models of human tissues. Using lab-on-a-chip technologies in vitro cell culturing quickly caused in optimized systems of tissues compared to static culture. These chipsets prepare cell culture media to mimic physiological reactions and behaviors. Design/methodology/approach: The authors used the application of lab chip instruments as a versatile tool for point of health-care (PHC) applications, and the authors applied a current progress in various platforms toward biochip DNA sensors as an alternative to the general bio electrochemical sensors. Basically, optical sensing is related to the intercalation between glass surfaces containing biomolecules with fluorescence and, subsequently, its reflected light that arises from the characteristics of the chemical agents. Recently, various techniques using optical fiber have progressed significantly, and researchers apply highlighted remarks and future perspectives of these kinds of platforms for PHC applications. Findings: The authors assembled several microfluidic chips through cell culture and immune-fluorescent, as well as using microscopy measurement and image analysis for RNA sequencing. By this work, several chip assemblies were fabricated, and the application of the fluidic routing mechanism enables us to provide chip-to-chip communication with a variety of tissue-on-a-chip. By lab-on-a-chip techniques, the authors exhibited that coating the cell membrane via poly-dopamine and collagen was the best cell membrane coating due to the monolayer growth and differentiation of the cell types during the differentiation period. The authors found the artificial membrane, through coating with Collagen-A, has improved the growth of mouse podocytes cells-5 compared with the fibronectin-coated membrane. Originality/value: The authors could distinguish the differences across the patient cohort when they used a collagen-coated microfluidic chip. For instance, von Willebrand factor, a blood glycoprotein that promotes hemostasis, can be identified and measured through these type-coated microfluidic chips.
A theoretical study on 1H-indole-2,3-dione complexes with lithium, sodium, and potassium cations
(Springer Science and Business Media Deutschland GmbH, 2024) Genc, F.; Kandemirli, F.; Senturk Dalgic, S.
Context: A comparative study of the change in different properties of electronic and structural of the free 1H-indole-2,3-dione molecule and its complexes has been obtained. HOMA analysis was performed to investigate the effects of lithium sodium and potassium cations on the aromaticity of lithium sodium and potassium complexes of 1H-indole-2,3-dione. Methods: Several 1H-indole-2,3-dione complexes with lithium, sodium, and potassium cations were optimized at the B3LYP/6-311G(d,p) level. The cation and π interaction has been investigated from different aspects, including interaction energy calculations, charge transfer values, and changes in the aromaticity of the ring upon complexation. The charge transfer and natural population analysis for the complexes were performed with the natural bond orbital (NBO) analysis. The properties of bond critical points in complexes were studied by applying the quantum theory of atoms in molecules (QTAIM). Finally, the aromaticity change of phenyl induced upon complex formation was evaluated by applying the harmonic oscillator model of aromaticity (HOMA). [Li-INa]+ and [[Li-INb]+ were optimized with the wB97XD function using a version of Grimme’s D2 dispersion model, and the absorption energy was compared with the calculation made with the B3LYP functional.
Accumulation analysis and overall measurement to represent airborne toxic metals with passive tree bark biomonitoring technique in urban areas
(Springer Science and Business Media Deutschland GmbH, 2024) Isinkaralar, K.; Isinkaralar, O.; Koc, I.; Cobanoglu, H.; Canturk, U.
Authorities have long proved the utility of bioindicators in monitoring the state of environmental pollution. Some biological indicators can measure environmental pollutant levels, and many tree species have been tested for suitability for monitoring purposes. The differences in morphological characteristics in the trees have demonstrated the effects of human activities on different materials. Measuring bark and wood biomass from contaminated sites was identified and directly compared with those from a clean site or areas characterized by distinct contamination sources. However, preliminary results demonstrate the approach’s potential in the realization of strategies for disease control and promoting health to reduce environmental and health inequalities in at-risk urban areas. Picea orientalis L. and Cedrus atlantica Endl., especially their bark, can be regarded as a more robust storage of Cu (37.95 mg/kg) and Mn (188.25 mg/kg) than Pinus pinaster, Cupressus arizonica, and Pseudotsuga menziesii, which and is therefore a better bioindicator for Cu and Mn pollution. Considering the total concentrations as a result of the study, the pollution is thought to be caused by environmental problems and traffic in the region. The deposition of Cu, Mn, Ni, and Zn elements was found P. menziesii (60, 443, 58, and 258 mg/kg) and P. orientalis (76, 1684, 41, and 378 mg/kg) and seems to reflect atmospheric quite clearly compared to P. pinaster, C. arizonica, and C. atlantica. Ni and Zn concentrations have significantly increased since 1983, and P. menziesii and P. orientalis can be potentially valuable bioindicators for emphasizing polluted fields.
Adsorption ability of Ga5N10 nanomaterial for removing metal ions contamination from drinking water by DFT
(John Wiley and Sons Inc, 2024) Mollaamin, F.; Monajjemi, M.
The electronic, magnetic, and thermodynamic properties of alkali/alkaline earth metal ion-adsorbed gallium nitride nanocage (Ga5N10_NC) have been investigated using density functional theory. The results denote that alkali/alkaline earth-metal ion-adsorbed Ga5N10_NC systems are stable compounds, with the most stable adsorption site being the center of the cage ring. The partial density of states (PDOS) can estimate a certain charge assembly between Li+, Na+, K+/ Be2+, Mg2+, Ca2+ and Ga5N10_NC which indicate the complex dominant of metallic features as: Ca2+ > Mg2+ > Be2+ >> K+ > Na+ > Li+. For confirmation of magnetic-alignment of Ga5N10_NC, monovalent (M+) and divalent (M2+) metal ions were added to the sample to measure the effects of metals on the magnetic-alignment properties of Ga5N10_NC. Furthermore, the reported results of NMR spectroscopy have exhibited that both M+ and M2+ can be optimized to achieve optimal alignment of nanocage in the presence of an applied magnetic field; however, chemical shift anisotropy spans for Ca2+– and Mg2+–containing samples is due to Ca2+ and Mg2+ ions binding to Ga5N10_NC. Regarding IR spectroscopy, Li+@ Ga5N10_NC and Be2+@ Ga5N10_NC with more electronegativity appear the most fluctuations through adsorption process. Moreover, based on NQR analysis, Ca2+ has shown a different graph of electric potential during trapping in Ga5N10_NC compared to other metal cations. Based on the results of (Formula presented.) amounts in this research, the selectivity of metal ion adsorption by gallium nitride nanocage (ion sensor) has been approved as: K+>Na+> Li+ in alkali metals and Ca2+>Mg2+> Be2+ in alkaline earth metals
Advanced NH3 Detection by 1D Nanostructured La:ZnO Sensors with Novel Intrinsic p-n Shifting and Ultrahigh Baseline Stability
(American Chemical Society, 2024) Ajjaq, A.; Bulut, F.; Ozturk, O.; Acar, S.
Due to its stability, transportability, and ability to be produced using renewable energy sources, NH3 has become an attractive option for hydrogen production and storage. Detecting NH3 is then essential, being a toxic and flammable gas that can pose dangers if not properly monitored. ZnO chemiresistive sensors have shown great potential in real NH3 monitoring applications; yet, research and development in this area are ongoing due to reported limitations, like baseline instabilities and sensitivity to environmental factors, including temperature, humidity, and interferent gases. Herein, we suggest an approach to obtain sensors with competitive performance based on ZnO semiconducting metal oxides. For this purpose, one-dimensional nanostructured pure and La-doped ZnO films were synthesized hydrothermally. Incorporating large rare earth ions, like La, into the bulk lattice of ZnO is challenging and can lead to surface defects that are influential in gas-sensing reactions. The sensors experienced a temperature-induced p-n shifting at about 100 °C, verified by the Hall effect and AC impedance measurements. The doped sensor showed exceptional stepwise baseline stability and outstanding performance at a relatively low operating temperature (150 °C) with a sensing response of 91 at best (@ 50 ppm NH3) and recorded a tolerance to water vapor up to 70% RH. Alongside p-n shifting, the enhanced performance was discussed in correlation with La doping-triggered changes in the nanostructural and surfacial properties of the films. We validated the proposed technique by producing similar sensors and performing multiple replicates to ensure consistency and reproducibility. We also introduced the fill factor concept into the gas sensor field as a new trustworthy parameter that could improve sensor performance assessment and help rate sensors based on deviation from ideality.
Advancing and sustaining volunteerism: Investigating the multifaceted challenges and obstacles to volunteer engagement
(John Wiley and Sons Inc, 2023) Aslan, H.; Tuncay, T.
Individuals across the globe engage in volunteering activities for various purposes, such as contributing to eradicating poverty, enhancing basic health and education, ensuring access to potable water and proper sanitation, addressing environmental concerns and climate change, mitigating disaster risks, and combating social exclusion and violent conflicts. The ongoing development and sustainability of volunteering are imperative to maintain progress and warrant attention. This study explores the impediments and challenges associated with the development and sustainability of volunteering, encompassing a broad spectrum of factors, from micro-level individual aspects to macro-level structural elements. Data were collected via in-depth interviews with 30 managers within the volunteering sector. The narratives were subjected to thematic analysis, leading to the identification and examination of four distinct themes at various levels. The primary findings underscore the significance of personal experiences, familial backgrounds, organizational structures, and the socio-political milieu in which they function for comprehending the challenges and barriers to volunteering. In conclusion, this study shows that there are wide-ranging and multidimensional challenges and barriers to the development and sustainability of volunteering activities. Therefore, analyzing these problems in coordination with the stakeholders of the volunteering field, making arrangements and developing practices may ensure the development of the volunteering field.
Altered luteal expression patterns of genomic and non-genomic progesterone receptors in bitches at different reproductive states
(Elsevier Inc., 2024) Ucar, E.H.; Peker, C.; Hitit, M.; Kose, M.; Tatar, M.; Bozkaya, F.; Atli, M.O.
The binding of steroid hormones to their specific receptors is necessary to exert their effects on target cells. Progesterone (P4), a steroid hormone, carries out its effects through both genomic and non-genomic (the cell membrane-associated) receptors. This study aimed to ascertain luteal expression patterns of genomic and non-genomic progesterone receptors in bitches in physiological (early dioestrus and early pregnant) and pathological (pyometra) reproductive states. Luteal tissue was collected from the bitches at early dioestrus (ED, n = 5), early pregnant (EP, n = 5), and pyometra (PY, n = 5). The expression profiles of Steroidogenic Acute Regulator Protein (STAR), Progesterone Receptor (PGR), Membrane Progestin Receptors (PAQR5, PAQR7 and PAQR8), and Progesterone Membrane Components (PGMRC1 and PGMRC2) were examined at the mRNA levels using Real-Time Polymerase Chain Reaction (RT-PCR). Protein levels of PGR, PGMRC1 and PGMRC2 were detected by western blotting (WB). The STAR expression was found in all groups, with a statistical difference observed between EP and PY groups (P < 0.05). The protein level of PGR was determined to be highest in the EP group and lowest in the PY group. The expression of PAQR8 increased in the EP group (P < 0.05). The PAQR5 exhibited high expression in the EP group and low expression in the PY group (P < 0.05). PGRMC1 was more elevated in the EP group and lower in the PY group (P < 0.05). Protein levels of PGMRC1 and PGMRC2 were also observed at the highest expression in EP group. According to the altered expression profiles for examined receptors, we suggest that those progesterone receptors have roles in early pregnancy or pyometra in bitches.
Ameliorative effects of humic acid and L-tryptophan on enzyme activity, mineral content, biochemical properties, and plant growth of spinach cultivated in saline conditions
(John Wiley and Sons Inc, 2024) Turfan, N.; Kibar, B.; Davletova, N.; Kibar, H.
Salinity poses a significant abiotic stress that limits plant productivity, thereby posing a serious threat to agricultural sustainability and worldwide food security. Techniques that can overcome this problem are needed. Recent focus has been placed on employing organic substances like humic acid (HA) and amino acids, including L-tryptophan (L-TRP), to mitigate the negative effects of salt stress on cultivated plants. Accordingly, in this research, the impact of foliar applications of HA and L-TRP, both separately and combined, on the growth parameters and biochemical properties of spinach subjected to salt stress was investigated. In the present study, eight treatments (1. control, 2. salt (NaCl), 3. HA, 4. L-TRP, 5. HA + NaCl, 6. L-TRP + NaCl, 7. HA + L-TRP, and 8. HA + L-TRP + NaCl) were investigated. The study showed that salt stress markedly reduced several growth properties in spinach, including plant height, number of leaves, leaf dimensions, and both fresh and dry weight. Additionally, it significantly lowered contents of chlorophyll (a, b, and total), carotenoid, polyphenol, lutein, anthocyanin, polyphenol oxidase, glycine betaine, relative water content, and the antioxidant enzyme activities (ascorbate peroxidase, catalase, peroxidase, and superoxide dismutase). On the other hand, significant increases were observed in sodium, chlorine, potassium, sulfur, zinc, nickel, proline, malondialdehyde, and hydrogen peroxide levels of spinach with salinity. Individual and combined applications of HA and L-TRP positively influenced plant growth, relative water content, activities of antioxidant enzyme, chlorophyll, and mineral contents of spinach under both normal and saline conditions. In conclusion, the combined use of HA and L-TRP under salt stress conditions is promising in mitigating the negative impacts of salinity and can be suggested as an effective alternative approach for cultivating spinach in saline environments.
An analysis of the relationship of “the Mozart effect” with BDNF levels in anatomy education
(John Wiley and Sons Inc, 2024) Petekkaya, E.; Ünalmış, A.D.; Kaptan, Z.
In 1993, an increase was observed in the spatial IQ scores of the volunteers who listened to Mozart's sonata K448 for 10 min, and this phenomenon entered the literature as the “Mozart effect.” Other studies have shown that this effect is particularly evident in spatial skill tests. A large body of research has provided evidence that spatial ability is associated with success in learning anatomy. In this study, Kastamonu University Faculty of Medicine students were divided into two groups during 16-h practical training spanning 30 days. While one of the groups listened to Mozart's K448 sonata as the background music in all lessons, the control group attended the lessons in their standard form. At the end of each lesson, all students solved a modified mental rotation test including questions involving anatomical structures. Before starting the study, after the first laboratory class, on the 15th and 30th day of the study, blood samples were taken from the participants, and plasma brain-derived neurotrophic factor (BDNF) levels were determined. The effect of time on mental rotation score and plasma BDNF level was significant (p < 0.001 for both). The effect of group was also significant (p < 0.001 for both). Pairwise comparisons showed significance in the fifth, sixth, seventh, and eighth mental rotation test (p < 0.001, p = 0.041, p < 0.001, p < 0.001, respectively) and in the third (Day 15) and fourth (Day 30) BDNF measurement (p < 0.001 for both). Our findings may indicate that specific background music may be useful for anatomy teaching.
An ensemble approach for classification of tympanic membrane conditions using soft voting classifier
(Springer, 2024) Akyol, K.; Uçar, E.; Atila, Ü.; Uçar, M.
Otitis media is a medical concept that represents a range of inflammatory middle ear disorders. The high costs of medical devices utilized by field experts to diagnose the disease relevant to otitis media prevent the widespread use of these devices. This makes it difficult for field experts to make an accurate diagnosis and increases subjectivity in diagnosing the disease. To solve these problems, there is a need to develop computer-aided middle ear disease diagnosis systems. In this study, a deep learning-based approach is proposed for the detection of OM disease to meet this emerging need. This approach is the first that addresses the performance of a voting ensemble framework that uses Inception V3, DenseNet 121, VGG16, MobileNet, and EfficientNet B0 pre-trained DL models. All pre-trained CNN models used in the proposed approach were trained using the Public Ear Imagery dataset, which has a total of 880 otoscopy images, including different eardrum cases such as normal, earwax plug, myringosclerosis, and chronic otitis media. The prediction results of these models were evaluated with voting approaches to increase the overall prediction accuracy. In this context, the performances of both soft and hard voting ensembles were examined. Soft voting ensemble framework achieved highest performance in experiments with 98.8% accuracy, 97.5% sensitivity, and 99.1% specificity. Our proposed model achieved the highest classification performance so far in the current dataset. The results reveal that our voting ensemble-based DL approach showed quite high performance for the diagnosis of middle ear disease. In clinical applications, this approach can provide a preliminary diagnosis of the patient's condition just before field experts make a diagnosis on otoscopic images. Thus, our proposed approach can help field experts to diagnose the disease quickly and accurately. In this way, clinicians can make the final diagnosis by integrating automatic diagnostic prediction with their experience.

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