Lisansüstü Eğitim Enstitüsü Diğer Yayınlar Koleksiyonu

Bu koleksiyon için kalıcı URI

https://hdl.handle.net/20.500.12428/3870

Listeleniyor 1 - 20 / 122

UNDERSTANDING AND SUPPORTING SPECIAL EDUCATION: EXPERIENCES OF SCHOOL ADMINISTRATORS
(Centro Univ La Salle-Rj, 2024) Çil, Gürkan; Kırat, Emel; Aydın, Sevcan; Güven, Bülent
This study aims to determine school administrators' attitudes toward special education, their level of knowledge, their collaboration experiences, and their in-service training needs. The study group of the research, which was conducted with a case study based on qualitative research methods, consisted of eight school administrators who served in public schools in the academic year of 2022-2023. Five themes were identified by analyzing the data obtained through the interview technique. The results of the study revealed that the school administrators described individuals with special needs as individuals who differ from their peers in certain areas and need special attention and education. The school administrators considered themselves inadequate in the field of special education. In the collaboration theme, they emphasized the significance of family collaboration but indicated that they were not supported as needed. Moreover, the administrators needed in-service trainings and seminars. Consequently, the role of administrators in special education has a direct impact on the education and development of students with special needs. They should have a broad accumulation of knowledge, exhibit strong leadership skills and act with an empathetic approach. In this sense, it is expected that the organization of in-service trainings and seminars will enhance the quality of special education services by improving the knowledge and skills of administrators.
Neuroanatomical Correlates of Memory Strategies in Rats
(Wiley, 2025) Balcı, Aysu; Cankurtaran, Buse Pınar; Akyel, Aybüke; Arıkan, Kutluk Bilge; Ünal, Bengi; Ünal, Çağrı Temuçin
Navigation incorporates a continuum of strategies, where the allocentric strategy relies on relationships between environmental landmarks resulting in a cognitive map, and the egocentric strategy revolves around the body position and stimulus response chains with the body as a reference. Although multiple brain regions contribute to navigation, the hippocampus dominates allocentric navigation, whereas the striatum is key for egocentric navigation. Neuromodulators, such as dopamine and acetylcholine, regulate both the hippocampus and striatum to influence behavior, yet their influence on navigational strategy has not been determined. Interindividual differences in strategy preference are known to exist. Building on these pre-existing interindividual differences, this study explored the neuroanatomical underpinnings on navigational strategy variations in rats through a dual-solution T-maze and immunocytochemistry. Surprisingly, interindividual variations eluded explanation through the density of cholinergic neurons supplying acetylcholine to the hippocampus and striatum. Similarly, the soma morphologies of these neurons exhibited no discernible differences. Dopaminergic cell densities in the ventral tegmental area (VTA), projecting to the hippocampus, and substantia nigra pars compacta (SNpc), projecting to the striatum, failed to account for individual variations as well. Nevertheless, allocentric rats displayed higher VTA/SNpc dopamine neuron fusiformity indexes, potentially contributing to computational distinctions underlying interindividual variations in navigation strategies. This study delves into potential explanations and charts promising avenues for future research. A graphical abstract summarizing the main findings of this study is provided.
Gene expression responses unveil the negative effects of Olive Mill Wastewater on Gammarus komareki (Amphipoda: Gammaridae)
(Springer, 2025) Yılmaz, Sevdan; Odabaşı, Deniz Anıl; Zilifli, Aytuğ; Banni, Mohammed; Abdel-Latif, Hany M. R.
Olive Mill Wastewater (OMW) is a major organic pollutant, particularly in Mediterranean countries with intensive olive oil production. In this study, the toxic effects of OMW were tested on a freshwater macroinvertebrate, Gammarus komareki. Animals were exposed to different concentrations of 1/5, 1/10, and 1/20 of the previously calculated 72-h LC50 (LC50 = 3.65%) and was applied as high (0.73%), medium (0.365%) and low (0.1825%) levels, respectively for 20 days. At exposure, female and male individuals from each group were sampled separately. Samples were analyzed for the expression levels of antioxidant defences (cat, gst, se-gpx, and mn-sod), reproduction (vitellogenin-like protein, vtg), respiration (hemocyanin, hc), antitoxic defences (heat shock protein 70, hsp70), and molting (molt-inhibiting hormone, mih) related genes. Results revealed that the expression levels of vtg gene in females exposed to low doses were increased significantly compared to other groups; however, its levels were decreased in group exposed to high doses compared to the control and other groups. The mRNA expression levels of mn-sod and se-gpx genes of males and female individuals exposed to low OMW doses increased significantly compared to other doses. The mRNA expression levels of gst gene increased in males and females exposed to moderate doses and only in males exposed to low doses compared to other groups. The mRNA expression levels of cat gene of females were similar in all groups, while their levels were higher in males exposed to OMW than in the control group. The expression values of hsp70 gene were significantly decreased in females and all males exposed to high doses of OMW. On the other hand, the mih gene expression in females was increased at low doses of OMW, while decreased in the groups exposed to high doses compared to the control group. In male individuals, the mih expression levels significantly increased in all experimental groups. The expression of the hc gene was decreased in male and female individuals exposed to all doses of OMW compared to the control group. To put it briefly, the great variations in the gene expression levels in groups exposed to OMW underlines the toxic effects of this effluent and its negative impacts on the aquatic organisms.
A Model System for Understanding Host-Pathogen Relationships Through In Vitro Host Mimicry
(Springer, 2025) Fidanoğlu, Baran Taylan; Keresteci, Nadir; Özkılınç, Hilal
In vitro host mimicry provides a method to study host-pathogen interactions without constraints of time, space, or host presence. Monilinia fructicola and M. laxa, pathogens causing brown rot disease, have a narrow host range including some pome and stone fruits. Building on previous in vitro mimicry of the peach host and M. fructicola, this paper confirms that various hosts of both fungal species can be mimicked in vitro, offering insights into host preferences. This study developed mimic media for peach, plum, cherry, and apple hosts, evaluating pathogen preferences based on mycelial growth and the expression levels of two effector genes: cutinase 1 (CUT1) and polygalacturonase 1 (PG1). Isolates with different virulence levels were used to assess aggressiveness effects. Effector genes were significantly expressed in host-mimicking media compared to standard potato dextrose agar. Moreover, host preference with the virulence level. The high-virulent M. fructicola isolates favored peach-based medium, while low-virulent isolates preferred plum-based medium. All M. laxa isolates showed the highest growth on peach-based media and the slowest on cherry-based media. This study showed Monilinia host-pathogen relationships in vitro, and the research approach can be used as a model for necrotrophic fungal pathosystems.
Exploring the perspectives of university students on post-COVID-19 rental housing demands: a case study of Çanakkale, Türkiye
(Springer, 2025) Uşaklı, Metin; Yücebaş, Sait Can; Genç, Levent
This study focused on utilizing Machine Learning (ML) to examine the housing preferences of students. Employing a survey method, the study utilized decision tree, a widely favored ML approach, to present findings. The analysis focused on the post-COVID-19 rental housing preferences of students and their impact on rental prices. Furthermore, the research identified the number of rooms as a crucial factor for male students, particularly for first-year students, with gender becoming significant for second-, third-, and fourth-year students in Barbaros neighborhood. A noteworthy post-COVID-19 trend was the observation that students, in general, preferred communal living arrangements, sharing rental costs. Additionally, the study found that under different circumstances, male students were more inclined to lease housing in & Ccedil;anakkale province compared to their female counterparts.
A comparative study on removal of boron via pervaporation and vacuum membrane distillation using zirconium metal-organic framework-loaded poly(lactic acid) membrane
(Springer Heidelberg, 2025) Nigiz, Filiz Uğur; Tan, Burcu; Bektaş, Tijen Ennil; Karakoca, Betül
Boron mineral is very important for the life. However, exceeding the standards of boron minerals, especially in water to be used as domestic water, causes health and environmental problems. The commercial method used to separate boron minerals from water is reverse osmosis. In recent years, promising results have been obtained with the membrane distillation (MD) method. However, another method that is as effective as this method is pervaporation (PV). The most important component that affects performance in both methods is the membranes. In this study, zirconium-based metal organic framework (MOF) material was synthesized and added to the polylactic acid (PLA) membrane and boron was removed by pervaporation and membrane distillation methods. While the selective layered asymmetric membrane was prepared for pervaporation, porous membranes were prepared for membrane distillation. The effect of MOF additive on the morphology, mechanical strength, and separation properties of the membrane was investigated. Additionally, the effects of boron concentration and temperature on the separation performance in both methods were examined. As a result, the mechanical strength of membranes with MOF added increased significantly from 2.41 to 8.20 MPa. 99.9% boron removal was achieved in both methods. While the highest flux value was calculated as 8 kg/m2h in pervaporation at 6 ppm boron concentration, it was calculated as 11.33 kg/m2h in membrane distillation.
Prediction of newly synthesized heparin mimic's effects as heparanase inhibitor in cancer treatments via variational quantum neural networks
(Elsevier Sci Ltd, 2025) Kocabay, Samet; Acar, Erdi; Memiş, Samet; İçen Taşkın, Irmak; Sever, Meryem Rüveyda; Şener, Ramazan
Cancer remains a leading global cause of death, primarily driven by the uncontrolled proliferation of abnormal cells. Malignant tumors, such as carcinomas, originate from unchecked epithelial cell growth and produce growth factors like FGF and VEGF, which promote angiogenesis and tumor progression through heparanasemediated degradation of heparan-sulfate proteoglycans. Chitosan and its derivatives have shown promise in inhibiting tumor growth and metastasis. This study aims to investigate newly synthesized sulfated chitosan oligomers as heparin mimics to inhibit heparanase, evaluating their cytotoxic effects on SH-SY5Y, HCT116, A549, and MDA-MB-231 cancer cell lines. Moreover, it seeks to leverage a variational quantum neural network (VQNN) to predict and validate cytotoxicity outcomes, integrating quantum computing methods into evaluating novel anticancer compounds. The VQNN algorithm was applied to analyze the anticancer effects of sulfated chitosan oligomers. Cytotoxicity data from wet lab experiments validated the model's predictive performance. The VQNN model demonstrated strong predictive capabilities in evaluating anticancer compounds. Specifically, it achieved a mean absolute error (MAE) of 6.5844, indicating a similar trend to the experimental results. Additionally, the model obtained an R2 value of 0.6020, reflecting a moderate level of correlation between predicted and observed outcomes. The results underscore the potential of integrating quantum-based machine learning models into cancer research. The VQNN effectively predicted experimental outcomes, showcasing its utility in assessing novel anticancer compounds. This approach could speed up drug discovery by streamlining the identification and optimization of therapeutic candidates. Furthermore, the findings support the ongoing development of quantum computing techniques for tackling complex biological challenges, contributing to innovative cancer treatment strategies that target tumor growth and angiogenesis.
Fabrication and characterization electrospun clinoptilolite filled polylactic acid composite membrane: purification of multiple impurities from water
(Elsevier, 2025) Kahraman, Seniyecan; Katırcı, Ayşenur; Aytaç, Ayşe; Veli, Sevil; Nigiz, Filiz Uğur
In this study, electrospun clinoptilolite (Clp)- polylactic acid (PLA) nanocomposite membranes were produced and used for dyestuff (methylene blue, MB), oil (soybean oil), microplastic (Polyamide 66, PA66), and Linear Alkyl Benzene Sulfonate (LAS) rejection from simulated gray water. The membrane's physical, chemical, thermal, morphological, mechanical, and antimicrobial properties were investigated regarding Clp incorporation. According to the characterization results, the empirical porosity of the membrane was found to be between 79 % and 83 %. The PLA membrane's water uptake capacity, surface hydrophilicity, and mechanical strength were improved with Clp incorporation. All membranes show antimicrobial effects against both gram-positive and negative bacteria. According to the filtration test results, MB separation was above 90 %. The highest oil rejection was found to be 87.84 % using 4 wt% Clp loaded membrane. All membranes rejected 100 % of microplastic. 66.6 % of LAS rejection was achieved with 3 wt% Clp loaded membrane. All separation and characterization results show that Clp-doped PLA membranes have the potential to be used as a filtration membrane that can simultaneously separate all impurities from water.
Resistance evolution and local adaptation of Venturia inaequalis to old and new generation SDHI fungicides
(Elsevier Sci Ltd, 2025) Özkılınç, Hilal; Fidanoğlu, Baran Taylan; Öncel, Sibel; Kurtuluş, Ezgi; Kadıoğlu, İrem Ece
The use of succinate dehydrogenase inhibitor (SDHI) fungicides is widespread in controlling apple scab disease caused by Venturia inaequalis. However, resistance in populations develops and new SDHIs are generated commercially, thus evaluating this arms-race in local populations is important for appropriate disease management. In this study, in vitro mycelial growth effects of five commercial fungicides, including old and new generation SDHIs on a large V. inaequalis population in T & uuml;rkiye were investigated. Overall, the entire population was resistant to Boscalid (Cantus (R)), and the most effective fungicides tested were Isopyrazam (REFLECT (R)) and Pydiflumetofen (Candidate fungicide, Miravis (R)). Although the results show the effectiveness of new generation SDHIs, remarkable differences in pathogen resistance responses were detected at local level. There were also differences in colony growth rates among isolates, but this was not associated with fungicide response traits. Furthermore, the intraspecies genetic diversities obtained from the sequence data of the four selected gene regions were depicted with the Neigbour_Joining (NJ) trees. There appeared to be no relationship between NJbased branching and fungicide response phenotypes. As a result of mating type determinationof the isolates with newly designed primers, 1:1 ratio indicated possible recombination in almost all local groups, with one exception. Additionally, detection of both mating type genes in some isolates was an interesting finding about the reproductive structure of the pathogen. This study, which is the first comprehensive study of V. inaequalis in T & uuml;rkiye, presents new findings about the pathogen from different perspectives.
Machinability of different Cu-Gr composites in milling: Performance parameters prediction via machine learning models
(Pergamon-Elsevier Science Ltd, 2025) Sap, Serhat; Acar, Erdi; Değirmenci, Ünal; Usca, Üsame Ali; Memiş, Samet; Şener, Ramazan
The machinability of copper-graphite (Cu-Gr) composites has gained significant attention due to their unique thermal, electrical, and mechanical properties. This study experimentally investigates the machinability performances (such as surface roughness, flank wear, cutting temperature, and energy consumption) of Cu-Gr hybrid composite materials during milling. It predicts these parameters with machine learning models. The study aims to contribute to sustainable and optimized manufacturing processes by analyzing the effects of different cutting parameters and cooling/lubrication conditions on this performance. Furthermore, advanced artificial intelligence-based models predict machining outcomes, providing a robust framework for process enhancement and industrial implementation. Although there are comprehensive studies on the machining performances of metal matrix composites in the literature, there is limited information on Cu-Gr composites' mechanical and thermal behaviors in milling processes. To address this deficiency, a full factorial experimental plan was applied on six different Cu-Gr composites and the effects of different cutting speeds, feed rates and cooling/ lubrication environments (Dry, MQL, cryogenic LN2) on flank wear, surface roughness, cutting temperature and energy consumption were analyzed. The materials used in the study were prepared by mixing graphite and hard phases (Al2O3 and Cr3C2) in specific proportions, and these composites were compared in terms of machinability. Afterward, the output parameters of the experimental results are predicted by employing the well-known machine learning models and the experimental results. The results manifested that Gradient-Boosted Decision Tree Regression performs better than the other ten machine learning models in predicting machinability parameters. Finally, this study highlights potential areas for future research and provides a practical guide for optimizing CuGr composites in manufacturing processes and achieving sustainability goals. It has engineering value in efficiency, cost reduction, and developing environmentally friendly applications, especially for the automotive, aerospace, and energy sectors.
Discovering the dynamics of peach fruit mycobiome throughout fruit development season by high-throughput sequencing
(Nature Portfolio, 2025) Öncel, Sibel; Özkılınç, Hilal
The mycobiome is comprised of a rich array of fungal species that compete for resources, and species diversity and prevalence exhibit a dynamic structure under the influence of many factors. While the host fruit develops, the prevalence and the arrangement of fungal species in this mycobiome also change, forming a dynamic microenvironment. In this study, fungal diversity on peach fruit surfaces at different developmental stages have been determined to better understand the changes in fungal diversity and disease occurrence by using metabarcoding of the full ITS region and processing the obtained high-throughput sequencing data with various bioinformatic analyses. It has been found that fungal diversity in early developmental stages is higher, and the diversity declines as the fruit matures, likely due to more prevalent fungal species establishing themselves on the surface as the fruit develops. Additionally, this research reveals that the prevalence of pathogens does not necessarily mean that disease will develop, as pathogenic species were found to be at higher prevalence percentages when compared to non-pathogenic species in healthy fruit samples. This study also identified the Monilinia polystroma species at a molecular level for the first time in T & uuml;rkiye; however, no symptomatic signals were recorded on the host. The study provides valuable data for mycobiome studies, while also highlighting its importance in optimizing sustainable disease management strategies.
Behaviors of dark energy candidates in the Ruban universe
(World Scientific Publ Co Pte Ltd, 2025) Engin, Melike; Aktaş, Can
In this study, we investigated quintessence and tachyon field dark energy (DE) models for the inhomogeneous and anisotropic Ruban universe in f(R,T) gravitation theory. We utilized the Hubble parameter in the field equations as beta root t+alpha for the solutions. Since DE candidates are classified according to the p/rho values of the EoS parameter omega, we obtained the p and rho solutions for each DE candidate and analyzed the scalar field (SF) and scalar potential solution. We also talked about the model's physical characteristics and parameters with the help of a various of graphics for redshift z and cosmic time t. Additionally, the statefinder parameters, which are essential tools for distinguishing various dark energy models, have been explored.
School-Assisted Family Communication: A Study on Parent-Child Relationships
(Inst Fed Education, Science & Technology Of Goias, Campus Inhumas, 2024) Kırat, Emel; Akgül, Hanife; Güven, Bülent; Çil, Gürkan; Acar, Gülümser; Güven, Sibel
This study aims to examine parent-child relationships within the context of school-family collaboration. In the study, which was conducted with the case study design-one of the qualitative research methods-the opinions of seven parents of students receiving education in public primary schools in the 2023-2024 academic year were sought. The opinions obtained through focus group interview method were analyzed using descriptive analysis technique. When the findings were analyzed, the effect of positive communication in terms of parent-child communication styles drew attention. It was concluded that the effective approaches followed in the dimensions of effective listening and empathy contribute to children's roles in the communication process. While differences in daily communication routines based on needs were noteworthy, cases, where communication was interrupted, stood out with expressions of responsibility. The results achieved for privacy perceptions for school and family showed that this issue was taken into consideration based on parents, but children differed in terms of their different developmental characteristics. While expressions of approval or question were among the words that children frequently repeated, positive, approach-based communication was one of the important elements that will strengthen this process.
Makine Öğrenmesi Algoritmalarının Türkiye Depremlerinde P ve S Fazlarının Belirlenmesindeki Etkinliği
(Afet ve Acil Durum Yonetimi Baskanligi (AFAD), 2025) Ünal, Utku; Bekler, Tolga; Bekler, Feyza Nur
Depremlerin dinamik parametrelerinin belirlenmesine yönelik analizlerde sismik cisim dalgalarının (P ve S fazları) varış zamanlarının doğru tespiti, sismolojik problemlerin çözümünde bir ön koşuldur ve varış zamanlarını temel alan çalışmalara, örneğin yer içi kabuk/manto yapısının anlaşılması gibi ve çeşitli araştırma alanlarına katkıda bulunur. Makine öğrenimi veya daha geniş ve bilinen uygulaması ile yapay zekâ teknolojilerindeki son gelişmeler, sismogramlar kullanılarak cisim dalgalarının varış zamanlarının otomatik olarak tespit edilmesini mümkün kılmaktadır. Türkiye, Avrasya, Afrika ve Arap levhalarının kesişim noktasında yer aldığı için karmaşık tektonik yapısı nedeniyle yüksek sismik aktiviteye sahiptir. Bu çalışmada, KRDAE (Kandilli Rasathanesi ve Deprem Araştırma Enstitüsü) ağına ait 2013-2019 yılları arasındaki Türkiye’de meydana gelen deprem kayıtlarında P ve S fazlarının geliş zamanlarını otomatik olarak tespit eden derin öğrenme algoritmasının başarımı değerlendirilmiştir. Sonuçlar, makine öğrenmesinin geleneksel istatistiksel yöntemlere kıyasla daha doğru tahminler yapabildiğini ve insan kaynaklı hataların azaltılmasında etkili olduğunu göstermektedir. Çalışmada elde edilen bulgular, büyük veri tabanlarıyla eğitilmiş derin öğrenme tabanlı sismik faz tespit algoritmalarının, yerel ihtiyaçlara uygun hale getirilmesiyle sismolojik analizlerde doğruluk ve hız artışı sağlayabileceğini ortaya koymaktadır. Gelecekteki çalışmalarda, yerel veriyle de eğitilmiş modellerin karşılaştırmalı olarak incelenmesi ve faz tespitinde uzman müdahalesine ihtiyaç duymayan algoritmaların geliştirilmesi önerilmektedir.
Çabaçam Eğitim Destek Biriminin Deprem Sonrasındaki Gönüllü Eğitim Faaliyetleri: Öğretmen Adayları Destek Uygulaması
(Ankara University, 2025) Aktan Acar, Ebru; Erbaş, Yahya Han; Apaydın, Sezen Çiçek; Tarhan, Zeynep
Bu araştırmada 6 Şubat 2023 depremleri sonrasında Kahramanmaraş ve Adıyaman’da kurulan ve erken çocukluk dönemindeki çocuklara eğitim hizmeti sunan Çaba Çok Amaçlı Erken Çocukluk Eğitim Merkezi (ÇABAÇAM) Eğitim Destek Birimleri’nde gönüllü olarak görev alan öğretmen adaylarının deneyimlerini ortaya çıkarmak amaçlanmıştır. Araştırma kapsamında kurulan merkezlerde gönüllü 29 öğretmen adayının okul öncesi çağındaki depremzede çocuklarla yaptıkları etkinlikler ve çocuklara yönelik gözlemledikleri travmatik durumlar incelenmiştir. Araştırma nitel araştırma yöntemlerinden durum çalışması olarak desenlenmiş olup, veriler yarı-yapılandırılmış görüşme formu ile toplanmıştır. Araştırmanın bulgularına göre, gönüllü öğretmen adaylarının ÇABAÇAM Eğitim Destek Birimlerinde yaklaşık iki ay boyunca yaptıkları etkinlikler iletişim etkinlikleri, sanat etkinlikleri, hareket etkinlikleri, branş etkinlikleri, serbest zaman etkinlikleri ve özel gün çalışmaları başlıkları olmak üzere altı kategoride toplanmıştır. Araştırmanın bulgularına göre özellikle hareket ve sanat etkinlikleri çocuklarda diğer etkinlik türlerine göre daha olumlu etkiler bırakmıştır. Ayrıca katılımcıların ifadelerinden yola çıkılarak Adıyaman ve Kahramanmaraş şehirlerinde kurulan birimlerde eğitim alan çocuklarda ortak olarak yalnızlık kaygısı, kendilerini ifade edememe, tekrar depreme yakalanma korkusu, aşırı sesten irkilme ve sosyalleşememe olarak kategorize edilen travmatik durumlar gözlemlenmiştir. Katılımcıların çocuklarla olan ilişkilerinde kendilerini en çok etkileyen durumlar gönüllü öğretmene aşırı bağlanma, ölümün anlaşılmazlığı, kaybolan ebeveynler ve çocuklar ile tekrar deprem yaşanmasına yönelik söylemler olarak dört başlıkta kategorize edilmiştir.
Determination of Desalinated Sea Water Usage Possibilities in Muscari armeniacum (Grape Hyacinth) Cultivation
(Namik Kemal University - Agricultural Faculty, 2025) Gür, Necmettin; Kahraman, Özgür
In the current period of time, many environmental problems have occurred in the world with the population increase, industrialization and construction, along with migration from rural areas to urban areas. Among the environmental problems that occur due to all these developments; the decrease in potable and usable freshwater resources, global warming, climate change and drought are the leading environmental problems. This study was carried out in the open field of a private apartment building in Izmir, Turkey to determine the possibility of using desalinated seawater in the cultivation of Muscari armeniacum Leichtlin ex Baker. Depending on the purpose of the study, Muscari armeniacum Leichtlin ex Baker was grown using desalinated seawater and tap water (control). To determine the effect of desalinated seawater on plant growth, leaf length, leaf width, root length, underground part weight, number of bulblets and upper part weight were measured. It was observed that Muscari armeniacum Leichtlin ex Baker plants showed normal growth when desalinated seawater was used throughout the experiment. According to the statistical analysis, the difference between desalinated sea water and tap water was significant only in leaf length and leaf width parameters. While the average leaf length was 54.47 cm and leaf width were 5.71 mm in tap water (control), the average leaf length was 53.47 cm and leaf width were 5.19 mm in desalinated sea water treatment. The effect of irrigation water sources on other parameters was statistically insignificant. As a result of the study, desalinated seawater can be used for the cultivation of Muscari armeniacum Leichtlin ex Baker. It is recommended that studies evaluating the possibilities of using desalinated sea water in the cultivation of different ornamental plant species will contribute to the literature.
Prevention of Browning during in vitro Cultures of Verbascum scamandri
(World Researchers Associations, 2025) Cambaz, E.; Çördük, Nurşen
Browning, a common problem in plant tissue cultures, can hinder callus production and the synthesis of secondary metabolites. This study investigates browning in the in vitro callus culture of Verbascum scamandri, a plant species with significant medicinal potential. This study aims to evaluate the efficacy of various browning inhibitors. In the study, leaf explants from 15-week-old plants grown in vitro were used to investigate browning in callus cultures. Explants were cultured in MS basal medium supplemented with 3% sucrose, 0.7% phyto agar and 2 mg/L Kinetin, which was chosen for its high callus proliferation. Treatments included various concentrations (50, 100, 200 and 300 mg/L) and combinations of browning inhibitors (PEG, PVP, AA, CA, AC and AA+CA), as well as dark culture conditions. The density of browning and callus was recorded and calculated after 28 days including texture and color data of induced calli. According to the results, it was found that the most effective treatment for the prevention of browning is culturing in dark conditions. Additionally, it was observed that in this treatment, the density of callus induction was higher and the induced calli did not brown and had a compact texture. © 2025 World Researchers Associations. All rights reserved.
ENHANCEMENT OF GERMINATION IN SOYBEAN (Glycine max L. Merrill) SEEDS BY PRE-TREATMENT OF SEEDS WITH MAGNETIC FIELD
(Universidad de Concepcion, 2025) Çıbık, Gizem Ören; Yalçın, Fehime Sevil
The effects of magnetic field (MF) on the germination percentage of soybean seeds and the development of seedlings were investigated in this study. Static MFs of 0, 0.5, 1.0 and 5.0 mT, generated by a coil, were applied to seeds. Sterilized seeds in plastic bags were exposed to the MF flux densities for one hour per day over four days. After MF application, seedlings were potted in soil and germinated under greenhouse conditions. The germination experiment was conducted over a 72 hour-period. Germination percentages increased in the 0.5, 1.0, and 5.0 mT treatments, compared to the control group. The length and fresh weight of seedlings exposed to MF were greater than those of the control group (p<0.005), but there was no significant difference in mean dry weights between the experimental and control groups (p>0.005). © 2025 Universidad de Concepcion. All rights reserved.
Toxicity Evaluation of Statin Group Drugs Using in Silico Methods
(Sakarya University, 2024) Berber, Ahmet Ali; Öztürk, Sinem; Ömeroğlu, Murat
Cardiovascular diseases (CVDs) remain a leading cause of mortality in modern society, with factors such as sedentary lifestyles, unhealthy diets, and obesity contributing to their increasing prevalence. The widespread use of Statins for lipidlowering therapy in both primary and secondary cardiovascular prevention is anticipated to rise in response to this trend. Given the rapid escalation in the prevalence of Statin usage, it is imperative to understand their toxicological effects on public health. While previous studies have explored various pharmacological effects of statins, comprehensive investigations into their genotoxic and Mutagenic potential are lacking. In this study, we conducted a comprehensive In silico evaluation of Statins using four different toxicological assessment programs, focusing on various genotoxicity, carcinogenicity, Mutagenicity, and Micronucleus formation endpoints. By comparing program outputs with experimental data, we assessed the reliability of In silico Toxicity predictions and discussed the consistency among different platforms. Our findings suggest discrepancies among the predictions of different programs, highlighting the importance of integrating multiple sources of data and methodologies in Toxicity evaluations. Despite inconsistencies, integrating in silico predictions with future in vitro and in vivo studies can contribute to a better understanding of the toxicological properties of statins and ensure their safe usage. This study underscores the necessity of careful evaluation and utilization of multiple data sources in decision-making regarding the toxicological profile of statins. Ultimately, leveraging in silico methods to guide future comprehensive toxicological studies will enhance our understanding of Statins' safety profiles and contribute to public health research. © 2024, Sakarya University Journal of Science. All rights reserved.
Relationship of Polymorphisms and Haplotype in Klotho Gene with Hypertension Risk
(Pleiades Publishing, 2025) Çiçekliyurt, M.M.; Çolak, Y.; Balun, A.; Akgümüş, A.
Abstract: Klotho gene is linked to promoting healthy aging and longevity. With age, serum Klotho levels decrease, resulting in age-related disorders. Polymorphisms contribute to a range of risk factors associated with disease onset, disease response, and therapeutic adverse effects. Klotho gene polymorphisms are linked to cardiovascular illness, although previous studies did not evaluate their relationship with hypertension. In this context, polymorphisms in the KL gene that disrupt gene expression or cause regulatory proteins to bind to the promoter region may trigger hypertension. So, the aim of our study investigated how two non-synonymous SNPs (rs9536314 and rs9527025) at the Klotho gene are connected to high blood pressure. The study was a case-control consisting of 226 hypertensive and 126 healthy individuals. All individuals were genotyped by real-time PCR. KL rs9536314 and rs9527025 polymorphisms were evaluated for hypertension risk using allele/genotype counting, OR-value, logistic regression, and haplotype analysis. As a results, hypertensive patients with recessive genotypes had twice the risk as the general population. KL rs9527025 was not a significant risk factor for dominant, recessive, and additive-modelled hypertension. In contrast, individuals with KL rs9536314 had a higher risk of hypertension in the recessive model. In conclusion: KL-rs9536314T → G would greatly increase the risk of hypertension in the recessive model. © Pleiades Publishing, Inc. 2025.

Güncel Gönderiler