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Öğe Seed priming and phosphorus fertilization boost nutrient biofortification of lentil plants(Polish Society for Magnesium Research, 2024-09-24) Mustafa Ceritoglu; Mustafa Ceritoglu; Murat Erman; Fatih ÇığThis experiment investigated effects of seed priming and phosphorus fertilization on the biofortification of lentil plants grown under low-phosphorus field conditions. Four phosphorus doses and six priming treatments were used in the experiment. According to results, 15 and 30 kg P ha-1 significantly increased the nitrogen concentration in plants while all phosphorus doses stimulated greater magnesium accumulation over control. Higher phosphorus addition restricted potassium acquisition by 9.5% under high-potassium soils. Moreover, 15 kg P ha-1 application of salicylic acid, citric acid, inorganic phosphorus or plant growth-promoting bacteria (PGPB) distinctly promoted the uptake of nitrogen, phosphorus, potassium, manganese, iron and zinc. PGPB mostly promoted nitrogen and phosphorus uptake, while citric acid priming highly stimulated the acquisition of Mg, Mn and Fe. All priming treatments were lower than the control for potassium accumulation, in which the lowest value was observed in PGPB-primed plants, because it can solubilize phosphorus compounds in rhizosphere, thereby causing an antagonistic effect on potassium uptake. Seed priming with 4 mM silicon enhanced copper accumulation in tissues up to 9.4%. Priming with 100 mg kg-1 citric acid promoted iron, magnesium and manganese accumulation by 13.8%, 3.8% and 4.7% compared with control, respectively. In conclusion, phosphorus addition boosted macro-and micronutrient acquisition, although the 15 kg P ha-1 dose is recommended from an economic perspective. Also, phosphorus application and seed priming treatments exhibited synergistic effects on nutrient acquisition depending on a nutrient element. Finally, seed priming with PGPB, 4 mM salicylic acid and 100 mg kg-1 citric acid exhibited superior performance on nutrient uptake in lentil.Öğe Radiation and gyrotactic microorganisms in Walter-B nanofluid flow over a stretching sheet(Elsevier BV, 2025-09) Muhammad Shaheen; Hakeem Ullah; Mehreen Fiza; Aasim Ullah Jan; Ali Akgül; A.S. Hendy; Samira Elaissi; Ilyas Khan; Mohsen Bakhori; N.F.M. NoorThe present study investigates the flow characteristics of both homogeneous and heterogeneous Walter-B nanofluids induced by a stretching sheet. Special attention is given to the effects of melting and magnetic fields on the flow behavior. The distribution of motile microorganisms is modeled using a microbial conservation equation, incorporating key parameters such as the Lewis number, Peclet number, and the microorganism difference parameter. The influence of thermal radiation and the heterogeneous reaction parameter is also considered. To facilitate the analysis, the governing partial differential equations are transformed into a set of ordinary differential equations using similarity transformations. A convergent series solution is then obtained through the application of the Homotopy Analysis Method (HAM). The study further explores the effects of various physical parameters, including the Prandtl number, magnetic field intensity, radiation, thermophoresis, Brownian motion, bioconvection, Peclet number, and the microorganism difference parameter. Results indicate that the velocity field decreases with an increase in the magnetic parameter, while the temperature profile diminishes with higher values of the radiation parameter. Furthermore, the concentration of microorganisms is observed to decline with increasing Lewis number.Öğe Isolation and molecular identification of canine bufavirus: a novel enteric pathogen of dogs(Springer Science and Business Media LLC, 2025-06-02) Gulizar Acar; Hayrunnisa Bostan Yoru; Erdal Polat; Ahsen Nisa Aslan; Hakan Aydin; Mehmet Ozkan TimurkanCanine bufavirus (CBuV) was initially detected in dogs with respiratory symptoms and later identified in fecal samples, suggesting that it could be an enteric pathogen. Several studies have shown that CBuV can be present in both healthy and diarrheic dogs, raising questions about whether CBuV is a primary enteric pathogen. In this study, we identified, isolated, and characterized CBuV from swab samples from dogs. A total of 119 samples from diarrheic dogs were analyzed by PCR, targeting a portion of the VP2 gene of CBuV. CBuV was detected in five dogs (4.2%). For virus isolation, CBuV-positive samples were inoculated onto an MDCK cell culture, and CPE was observed for one sample, which was tested for CBuV as well as other frequently detected enteric pathogens (canine distemper virus, canine parvovirus type 2, and canine coronavirus), but CBuV was the only virus detected. Phylogenetic analysis indicated that the CBuV isolates from this study are closely related to strains from China and India. The detection of CBuV in this study suggests that it might play a distinct role in canine diarrhea. Further studies are needed to investigate its genetic characteristics, epidemiology, and biological significance.Öğe Energy Budgeting and Greenhouse Gas Emission of Pomegranate Production in Türkiye(Springer Science and Business Media LLC, 2025-05-30) Mehmet Fırat Baran; Ekrem KadakThe aim of this study was to determine the energy use and greenhouse gas emission in ‘Zivzik’ pomegranate production in Siirt province, Türkiye. The main material of the study was the data obtained from 186 pomegranate producers by the survey method. The total and average pomegranate orchard area in the research area were calculated as 98.80 ha and 0.53 ha, respectively. Total energy input in pomegranate production was found to be 53,831.72 MJ ha−1 and energy output was found to be 66,227.11 MJ ha−1. In pomegranate production, energy use efficiency was 1.23, energy productivity was 0.65 kg MJ−1, specific energy was 1.54 MJ kg−1, and net energy was 12,395.39 MJ ha−1. The shares of direct, indirect, renewable, and non-renewable energy sources were found to be 30.79%, 69.21%, 12.57% and 87.43%, respectively. Total greenhouse gas emission was determined as 4504.21 kg CO2‑eq ha−1, and the greenhouse gas emission ratio was determined as 0.129 kg CO2‑eq kg−1. It was concluded that fertilizer input had the highest share in pomegranate input energy equivalents and greenhouse gas emissions. Since the energy use efficiency is higher than 1, it is possible to say that the inputs are used efficiently, but this ratio can be increased by using more efficient inputs. © The author(s), exclusively licensed to Springer-Verlag GmbH Germany, a part of Springer Nature 2025.Öğe Optimal Solutions of the Time-Fractional Wave Models(2025) Alzkari T.; Jan, Himayat Ullah; Akgül, AliIn this article, we provide an update on the optimal auxiliary function method (OAFM) in this work. This semi-analytical approach uses the Caputo fractional derivative operator (FOAFM) to solve fractional order differential equations. The efficiency and reliability of the method are shown by using modified equal-width model (MEW), equal-width model (EW), and regularized long wave model (RLW). Hydromagnetics waves in cold plasma are largely dependent on the aforementioned models. Our objective is to study the nonlinear behavior of the plasma system and determine its important features. The results show that even at the first iteration, our proposed method is simple, less expensive computationally, and rapidly converges to accurate results. The presence of the proper auxiliary constants allows for the achievement of convergence and stability. The technique has a remarkable ability to solve many different scientific and technical problems.Öğe Role of HMGB1 on the onset of preeclampsia(Springer Science and Business Media LLC, 2025-05-29) Mehmet Yılmaz; Fikri Erdemci; Fırat Aşır; Fatih Taş; Tuğcan Korak; Ayşegül Aşır; Nizamettin Bozbay; İbrahim BatmazBackground: The molecular mechanisms differentiating early-onset preeclampsia (EO-PE) from late-onset preeclampsia (LO-PE) remain unclear. High Mobility Group Box 1 (HMGB1), a pro-inflammatory cytokine involved in immune responses and oxidative stress, has emerged as a potential contributor to PE pathogenesis. Our aim was to investigate expression of HMGB1 in the placentas of EO- and LO-PE patients by immunohistochemical methods and in silico analysis. Methods: This experimental case-control study included 20 EO-PE, 20 LO-PE, and 20 normotensive control pregnant women. Placental samples underwent immunohistochemical staining to determine HMGB1 expression levels, which were analyzed semiquantitatively using ImageJ software. Bioinformatic analysis utilizing STRING and Cytoscape identified HMGB1-associated protein networks and pathways relevant to PE. Clinical and biochemical parameters were statistically analyzed. Results: HMGB1 expression was significantly elevated in placentas from EO-PE patients compared to both LO-PE and control groups (p < 0.05). Histopathological assessment indicated severe structural disruptions in EO-PE placentas, including increased fibrin deposition, vascular degeneration, and higher incidence of apoptotic cells. Bioinformatics revealed significant interactions of HMGB1 with cytokine signaling pathways (IL-4, IL-13, IL-10) and platelet-related pathways (platelet activation and aggregation). Clinically, EO-PE patients exhibited higher systemic inflammatory markers (CRP, WBC, NLR) and greater biochemical evidence of multi-organ dysfunction. Conclusions: This study identifies significantly increased HMGB1 placental expression predominantly in EO-PE, supporting its role in heightened inflammation and endothelial dysfunction characteristic of this subgroup, suggesting its potential as a biomarker and therapeutic target specifically for EO-PE.Öğe Family stress and resilience to earthquake-related economic hardship in Turkish families with preschool children.(American Psychological Association (APA), 2025-05-29) Jan Höltge; Nilüfer Kuru; Michael UngarLife-threatening earthquakes can lead to immediate and prolonged economic hardship that challenges the lives of the survivors. We know little about (a) how these economic risks impact families with preschool children, that is, the health of parents, the behavior of their children, and their relationships, and (b) the necessary family resources that support them. We utilized the Family Stress Model and multisystemic resilience theory to examine the effects of economic hardship on families with preschoolers who recently experienced an earthquake, focusing on ways to enhance their resilience. This study used an exploratory, data-driven statistical approach to analyze cross-sectional data from 377 families (children's age range = 4-6) that experienced the Kahramanmara & scedil; earthquake in T & uuml;rkiye in February 2024. Economic risk showed a direct relationship with problematic child behavior, which was associated with parental depression and the child-parent relationship, which provides additional perspectives on the Family Stress Model. Higher levels of economic hardship were associated with significantly lower levels of most family resources, with meaning making following adversity acting as a mediator for these effects. A combination of family communication, problem solving, and social and economic resources was identified as important for all family members, while lower levels of family spirituality were additionally important for children's resilience. Because most family resources were directly associated with parental depression, interventions should prioritize supporting parents so they can, in turn, better care for their young children. Future research utilizing the Family Stress Model should examine potential bidirectional effects between parental health and child behavior, particularly in disaster contexts.Öğe Determination of Population Change and Damage Rate of Kermania pistaciella Amsel (Lepidoptera: Tineidae) in Pistachio Orchards in Türkiye(Springer Science and Business Media LLC, 2025-05-28) Fırat Okalin; Mehmet KaplanThis study was conducted between 2023 and 2024 in two pistachio orchards of 15 and 30 decares, respectively, in Ataba & gbreve;& imath; town, Baykan district, Siirt province, T & uuml;rkiye, where pistachio production is intensive. The aim was to determine the adult population dynamics and infestation rate of the pistachio twig borer (Kermania pistaciella Amsel. [Lepidoptera: Tineidae]). Pest population density was determined using sex pheromone traps. Additionally, to determine the infestation rate of K. pistaciella in the sampled orchards, 100 shoots and fruit clusters were examined. As a result of the study, the first adults of K. pistaciella were detected in the pheromone traps on April 20, 2023 (42-14 adults/trap), with the highest number recorded on April 29 (903-98 individuals/trap), and the last adults observed in nature on May 22. In 2024, the first adults appeared on April 13 (29-8 adults/trap), the highest number was recorded on April 21 (1120-275 adults/trap), and the last adults were observed in nature on May 18. The flight period of K. pistaciella adults in nature was determined to be 33 and 36 days in 2023 and 2024, respectively. During the study years, the average infestation rate of K. pistaciella in pistachio orchards was found to be 34.5 and 28% in shoots, while the infestation rate in fruit clusters was 8.8 and 9.1% on average, respectively.Öğe Predicting Weaning Weight of Romanov Lambs From Biometric Measurements Before Weaning Age Using Machine Learning Algorithms(Wiley, 2025-05-28) Mehmet Eroğlu; Ali Osman Turgut; Mürsel Küçük; Muhammed Furkan ÖnenBackgroundMachine learning systems learn from historical data to forecast future outcomes. In the context of livestock farming, machine learning can be utilized to predict variables such as growth rates, milk production and breeding success by analysing data related to animal health, nutrition and environmental conditions.ObjectiveThis study aimed to investigate the performance of different machine learning algorithms in predicting weaning weight based on biometric measurements of Romanov lambs at 30 days of age.MethodsThe biometric traits of the lambs, including body length (BL), chest circumference (CC), chest depth (CD), chest width (CH), withers height (WH), rump height (RH), rump width (RW) and sex were used to construct predictive models. The study employed random forest (RF), classification and regression trees (CART), gradient boosting (GB), eXtreme gradient boosting (XGBoost) and CatBoost algorithms. The data was standardized to eliminate scale differences and divided into training (80%) and test (20%) sets. GridSearchCV was utilized for hyperparameter optimization. The performance of the models was evaluated using various goodness-of-fit metrics, including RMSE, MAE, R2, MAPE, RAE, MAD and SD ratio.ResultsThe gradient boosting and XGBoost models performed the highest R2 values and the lowest RMSE, MAE and MAPE values in the test data. In contrast, the random forest and CatBoost models showed lower predictive performance, with higher errors in the test data.ConclusionThe study suggests that machine learning algorithms, particularly gradient boosting and XGBoost, show promising potential in predicting the weaning weight of lambs. These insights may facilitate more informed decision-making in animal breeding and selection, potentially contributing to enhanced livestock management practices.Öğe CONVERGENCE TOPOLOGIES AND f-STATISTICALLY CAUCHY SEQUENCES(2025-01-01) Ramazan Kama; García-Pacheco, Francisco JavierModulus statistical convergence has already been transported to the general scope of uniform spaces. Here, the novel notion of f∗-statistically Cauchy sequence is introduced and studied in uniform spaces. Certain properties are verified, in particular, the relationship between f∗-statistically Cauchy sequences and f-statistically Cauchy sequences is unveiled. Finally, f-statistical limit points and fstatistical cluster points of a sequence are considered and studied, again in the general context of uniform spaces.Öğe Facile fabrication of carbon quantum dot-based CdS and Co-doped CdS nanocomposites as effective sensitizers for solar cell applications: a hydrothermal synthesis approach(Springer Science and Business Media LLC, 2025-05) Orhan Baytar; Sabit Horoz; Ömer Şahin; Sinan KutluayThe development of efficient and sustainable materials for solar energy conversion remains a key challenge in renewable energy research. Cadmium sulfide (CdS) nanoparticles are widely used as sensitizers in solar cells due to their favourable optoelectronic properties. However, their efficiency is often limited by charge recombination and poor electron transport. To overcome these limitations, this study explores the incorporation of carbon quantum dots (CQDs) and cobalt (Co) doping into CdS nanocomposites (NCs) to enhance their photovoltaic performance. CQDs, synthesized from mulberry molasses via a hydrothermal method, were incorporated into CdS to improve charge separation, while Co doping was employed to reduce recombination losses. The structural and electronic properties of the synthesized CdS/CQD and Co-doped CdS/CQD NCs were thoroughly characterized using Fourier transform infrared spectroscopy (FT-IR), Brunauer-Emmett-Teller (BET), X-ray photoelectron spectroscopy (XPS), X-ray diffraction (XRD), transmission electron microscopy (TEM) and ultraviolet-visible (UV-Vis) spectroscopy. The photovoltaic performance was evaluated by current-density-voltage (J-V) measurements, revealing that the Co-doped CdS/CQD NCs exhibited superior efficiency (2.21%) compared to CdS/CQD (2.17%). The observed improvement is attributed to enhanced electron injection and reduced recombination due to Co doping. These results highlight the potential of Co-doped CdS/CQD NCs as effective sensitizers in solar cells, offering a promising strategy for the advancement of sustainable photovoltaic technologies.Öğe Comparative analysis of microscopic and molecular methods for the diagnosis and post-treatment monitoring of Echinococcus granulosus sensu stricto in experimentally infected dogs: Initial findings from digital PCR(Elsevier BV, 2025-07) Muhammed Ahmed Selcuk; Figen Celik; Sami SimsekCystic echinococcosis (CE), caused by Echinococcus granulosus sensu lato, is a significant zoonotic disease with profound public health and economic impacts. This study evaluated egg detection methods, molecular diagnostics, and post-treatment shedding dynamics in experimentally infected dogs. Three three-month-old male dogs were included in the study. Two experimental dogs (ED-1, ED-2) were orally infected with 20,000 E. granulosus protoscoleces, while one served as a control (CD). Stool samples were collected daily over 50 days post-infection and 30 days post-treatment. Detection of E. granulosus eggs was performed using the fülleborn and sieving flotation methods. Genomic DNA was extracted, and molecular analysis was conducted via conventional PCR, Real-time quantitative PCR (qPCR), and digital PCR (dPCR). Egg detection in stool samples began on days 44-46 post-infection using flotation methods, while PCR detected parasite DNA as early as day 20. Both qPCR and dPCR consistently detected parasite DNA from day 1 to day 50 post-infection, with increased sensitivity observed after day 23. Treatment eliminated viable egg shedding within 2-4 days and post-treatment monitoring revealed intermittent detection up to day 30, with dPCR identifying copy numbers even when qPCR Ct values were undetectable. These findings highlight the superior sensitivity of molecular methods in early detection and their persistence in identifying DNA beyond egg-shedding periods. This raises important questions about interpreting molecular positivity in the prepatent phase and its implications for surveillance and diagnostics.Öğe Early detection of ventricular dysfunction in LADA using novel tissue Doppler parameters: A case-control study(SAGE Publications, 2025-05) Dogac Oksen; Muzaffer Aslan; Yunus Emre Yavuz; Cagdas Kaynak; Esra Erturk TekinIntroduction & ObjectiveLatent autoimmune diabetes mellitus (LADA), a heterogeneous disease, is much more common in society than thought. Although it has been claimed that LADA is similar to type 2 diabetes mellitus (T2DM) from a cardiovascular perspective, there is no clear consensus. In this context, the objective of this study is to assess subclinical dysfunction in the left and right ventricles in patients with LADA using novel tissue Doppler imaging (TDI) parameters.Materials &MethodsThe sample of this observational case-control study consisted of 57 consecutive patients aged between 30 and 70 years who applied to the endocrinology and metabolism outpatient clinics, were diagnosed with LADA, and were referred to the cardiology clinic for echocardiographic (ECHO) evaluation. The control group consisted of 60 healthy volunteers. Participants' demographic and clinical characteristics and laboratory findings were recorded. All participants underwent ECHO using conventional ECHO and TDI. Subclinical left ventricular dysfunction was assessed using the myocardial performance index (MPI) and isovolumic myocardial acceleration (IVA).ResultsThere were no significant differences between the patient and control groups in terms of conventional ECHO parameters. The left ventricular (LV) MPI was significantly higher in the patient group than in the control group (0.54 ± 0.11 vs 0.47 ± 0.07, p = 0.008). There was no significant difference between the groups in right ventricular (RV) MPI (0.49 ± 0.10 vs 0.46 ± 0.70, p = 0.217). IVA was decreased in both ventricles (IVA mitral: 3.03 ± 1.44 vs 3.78 ± 1.66, p = 0.008 and IVA tricuspid: 2.67 ± 0.88 vs 3.42 ± 0.97, p = 0.034). Both LV IVA and RV IVA were found to be significantly correlated with glutamic acid decarboxylase antibodies' (GADA) levels in the negative direction (R = -0.290, p = 0.005 and R = -0.340, p = 0.001).ConclusionsIt was observed that LADA negatively affected the systolic and diastolic functions of both ventricles, with its effect being more pronounced in the left ventricle. Glycemic control and autoantibody titers were found to be correlated with TDI parameters, emphasizing their relevance in assessing cardiac dysfunction.Öğe Analytic solutions of the time-fractional Boiti-Leon-Manna-Pempinelli equation via novel transformation technique(Springer Science and Business Media LLC, 2025-05-20) Bushra Yasmeen; Khalil Ahmad; Ali Akgül; Qasem Al-MdallalThis paper presents new analytical solutions for the time-fractional Boiti-Leon-Manna-Pempinelli (BLMP) equation, a crucial model for physical phenomena. Our approach yields novel wave solutions, whose propagation and dynamics are examined for diverse parameter values. The obtained solutions contain rational and natural logarithm functions. The graphical representations of the attained solutions are represented by plotted graphs with suitable parameters. The plotted graphs show different solitons and nonlinear wave solutions. The examination of these solutions involves a comprehensive analysis of their propagation and dynamics through analytic techniques. Our results with existing literature and found that our approach yields more accurate and efficient solutions. The novelty of these solutions is essential for understanding nonlinear behavior and natural phenomena. By developing analytical methods for nonlinear equations, this work advances our knowledge of complex systems. The results provide valuable insights into the equation’s behavior, shedding light on the underlying physical mechanisms. This research contributes to the development of analytical methods for nonlinear equations, fostering future research in the field. The findings are relevant to various areas of physics, including wave dynamics and nonlinear systems.Öğe Chaos and proportional integral derivative (PID) control on cancer dynamics with fractal fractional operator(Elsevier BV, 2025-06) Muhammad Farman; Kottakkaran Sooppy Nisar; Khadija Jamil; Ali Akgül; Aceng Sambas; Mustafa Bayram; Mustafa Habib; Murad Khan HassaniThis study presents a cancer dynamics model incorporating a fractal-fractional operator with a Mittag-Leffler kernel to capture complex interactions among cancer cells, tumor suppressor cells, immune cells, and oncolytic viruses. The model aims to enhance understanding of tumor-immune dynamics and improve treatment strategies. The existence and uniqueness of the solution are established using fixed point theory under the Lipschitz condition. Lyapunov stability of the system is also analyzed in the context of the fractal-fractional operator. To address chaotic behavior in cancer progression, chaos and Proportional-Integral-Derivative (PID) control techniques are implemented. These control methods effectively stabilize the system and regulate treatment administration. Numerical simulations illustrate the influence of fractional-order derivatives on tumor suppression and immune response, confirming the model's effectiveness in reflecting real-world cancer dynamics.Öğe Pistachio Shell Ash in Agro-Waste Cement Composites: A Pathway to Low-Carbon Binders(MDPI AG, 2025-04-29) Mahmut Durmaz; Murat DoğruyolThis study evaluates pistachio shell ash (PSA) as a sustainable cement substitute and investigates its effect on setting time, strength and microstructure. In this study, pistachio shell ash (PSA) obtained from the kiln flue gas filter of pistachio shells burnt at 300–350 °C in an industrial kiln was used. PSA was substituted for ordinary Portland cement (OPC) at 5, 10, 15, 20, 25 and 30%. PSA increased the SO3 value in the cement mortars, so 5% PSA substitution delayed the cement setting time by up to 174%. However, it increased the water requirement of the cement mortar by about 2%. While it increased the early strength (22% on day 1, 15% on day 2, and 5% on day 7), the 28-day strength decreased slightly (about 4.5%) due to low pozzolanic activity. Microstructural analyses such as SEM-EDX and XRD showed that the calcite and gypsum phases of PSA provided early strength gains, but there were long-term losses. With a 5% replacement rate, PSA provides significant environmental benefits by reducing CO2 emissions while maintaining optimum mechanical performance and supports the circular economy through the efficient use of agricultural waste.Öğe The Structural Properties of an Aged Catalytic Converter and Determining the Effects on Engine Characteristics(Springer Science and Business Media LLC, 2025-04-22) Ibrahim Aslan Resitoglu; Himmet Ozarslan; Banu Sugozu; Husamettin Samet KayaCatalytic converters are emission control systems used to reduce the pollutant emissions, primarily CO and HC, in vehicles powered by gasoline engines. The establishment of emission limitations (standards) by various organizations makes the use of these control systems mandatory. Catalytic converters are widely used in gasoline engine vehicles to control pollutant emissions. However, the effects of the operating time of these systems on their structure and engine characteristics are an important research topic. This study aims to understand the alteration in the structure of aged catalytic converter and the effect of aged catalytic converter on engine performance and emission characteristics. In this context, the structures of aged and fresh catalytic converters were characterized using SEM, XRF, XRD, and BET surface area analyses. Additionally, the aged and fresh catalytic converters were tested on the vehicle under real operating conditions, and the engine power, CO, and HC emission values were compared. As a result of the analyses performed, it was determined that significant changes occurred in the structure of the catalytic converter depending on its usage. The surface area, pore structure, and precious metal content in the catalytic converter, which are crucial for catalytic activity, decreased, while toxicity increased. The engine performance and emission tests revealed that the aged catalytic converter caused an average decrease of 4.76% in engine power compared to the fresh catalytic converter. Additionally, the CO and HC emissions increased on average from 0.04% to 0.06% and from 9.40 ppm to 25.99 ppm, respectively.Öğe Prognostic Value and Association of Platelet-to-Albumin Ratio with Coronary Artery Ectasia and Severity Classification(Galenos Yayinevi, 2025-04-29) Yunus Emre Yavuz; Hasan Sari; Ahmet Taha Sahin; Serif Ahmet Kandemir; Muzaffer AslanAim: Coronary artery ectasia (CAE) is characterized by abnormal dilation of coronary arteries and is associated with inflammation and thrombotic events. The platelet-to-albumin ratio (PAR) has emerged as a potential biomarker reflecting both inflammatory status and thrombotic activity. This study aimed to evaluate the relationship between PAR and the presence and severity of CAE. Methods: This retrospective, cross-sectional observational study included 80 patients diagnosed with CAE who underwent coronary angiography between April 2022 and January 2024, as well as 73 age-and sex-matched control participants with normal coronary anatomy. We calculated the PAR and assessed CAE using the Markis classification, which categorizes CAE severity based on the number and distribution of ectatic segments. Results: There was no significant difference between the two groups in terms of age and sex. Although the PAR was higher in the coronary ectasia group, the difference was not statistically significant. However, PAR was significantly correlated with the Marquis classification (p=0.014). Conclusion: While PAR values showed no significant difference between patients with CAE and those with normal coronary arteries, there was a notable correlation between PAR values and the Markis classification among patients with CAE, suggesting that PAR could be useful in evaluating the severity of CAE.Öğe An effective and facile approach for the determination of bioactive components of Rheum ribes in the Kurdish state of Iraq and Siirt region in Turkey(National Library of Serbia, 2025) İbrahim Tegin; Bakhtiyar Mahmood Fattah; Mehmet Fidan; Orhan Acar; Erdal YabalakDeveloping a streamlined and accessible method for identifying the bioactive components of Rheum ribes (rhubarb) holds significant promise in unlocking its therapeutic potential and advancing research in natural medicine. In this study, the bioactive components of rhubarb such as total phenolics and flavonoids as well as the antioxidant activity of its methanolic extract were determined. Total phenolic content was between 84.02 and 387.53 mg/L gallic acid equivalent (GAE) in extracts. Total flavonoid contents determined by the aluminium chloride colorimetric method ranged from 69.98 to 935.75 mg L-1 of routine equivalents (RE) in the extracts. The antioxidant activities were determined using ferric reducing the antioxidant potential (FRAP) and 1,1-diphenyl-2-picrylhydrazyl (DPPH) methods. In the FRAP assay, the highest antioxidant activity (IC50) was found as 25.18±0.04 mg L-1 extract. In the DPPH method, the maximum percentage inhibition was found as 88.11 %. Iron chelating activities of the samples were above 70 %. The chemical compound contents of the extracts were determined by LC-MS/MS. In this step, a total of 25 phenolic and flavonoid compounds in extracts were analysed qualitatively and quantitatively. Malic acid (15.72±0.53 mg kg-1) and rutin (76.93±0.03 mg kg-1) in the extract were identified as the major phytochemicals compounds. The results of the study confirm that rhubarb have potential biological activities and can be introduced as an important sources of natural antioxidants.Öğe Applicatin of a new adsrption kinetic model for the removal of Zn(II) ions present inaqueous solutions with Malatya clay(Scientific Scholar, 2025-03-22) Nilgün OnursalEfficient removal protocols are essential to mitigate the significant environmental issue posed by heavy metal pollution. A prevalent and efficient technique for this is adsorption. Zinc [Zn (II)] is a critical element that must be eliminated from water sources before its concentration attains hazardous levels. This research investigates the kinetics of Zn (II) adsorption on natural Malatya clay (MC) and presents a novel model for said process. The current study used naturally occurring MC as an adsorbent. The material was synthesized and characterized using X-ray diffraction (XRD), scanning electron microscopy (SEM), Fourier-transform infrared spectroscopy (FTIR), and Brunauer-Emmett-Teller (BET) studies. Tests for adsorption were performed at 298, 308, and 318 K to examine the influence of temperature, pH, and adsorbent dosage. Five models were included in the kinetic and isotherm analyses: Elovich, intraparticle diffusion, pseudo-second-order (PSO), pseudo-first-order (PFO), and a novel model. The least squares method was used to calculate adsorption capacity and regression (R-2) values for the best, most accurate model. The adsorption capacity increased with temperature, culminating at pH 6. The PSO model, with an R-2 > 0.99, surpasses all kinetic models except for the Elovich, Weber-Morris (WM), and PFO. The Langmuir isotherm study confirmed chemical adsorption, indicating the highest monolayer adsorption capacity of 43.29 mg/g at 318 K. The proposed kinetic model demonstrated high R-2 values and flexibility, effectively characterizing Zn (II) adsorption on heterogeneous and multilayer surfaces. The findings suggest that MC possesses significant potential for the removal of Zn (II). The suggested kinetic model, which accommodates various surface and adsorption circumstances, offers a fresh and dependable framework for adsorption research. Considering these results, the innovative model and Malatya clay merit substantial attention as effective strategies for alleviating zinc contamination in aquatic environments.
