Karamanoğlu Mehmetbey University
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Differential cross section measurements for the production of top quark pairs and of additional jets using dilepton events from pp collisions at s = 13 TeV
No full textDifferential cross sections for top quark pair (tt¯) production are measured in proton-proton collisions at a center-of-mass energy of 13 TeV using a sample of events containing two oppositely charged leptons. The data were recorded with the CMS detector at the CERN Large Hadron Collider and correspond to an integrated luminosity of 138 fb−1. The differential cross sections are measured as functions of kinematic observables of the tt¯ system, the top quark and antiquark and their decay products, as well as of the number of additional jets in the event. The results are presented as functions of up to three variables and are corrected to the parton and particle levels. When compared to standard model predictions based on quantum chromodynamics at different levels of accuracy, it is found that the calculations do not always describe the observed data. The deviations are found to be largest for the multi-differential cross sections
Some results of nearly cosymplectic manifolds with schouten-van kampen connection
No full textIn this paper, we study conharmonic curvature tensor and concircular curvatur tensor of nearly cosymplectic manifolds with Schouten-Van Kampen connection, and we give a conharmonically flat and concircularly flat nearly cosymplectic manifold with generalized SVK connection
Melatonin may protect the gastrointestinal system from cadmium chloride toxicity during pregnancy
No full textCadmium is absorbed into the body through food consumption. Since food intake increases during pregnancy, Cadmium consumption from food also increases. Melatonin, secreted by the pineal gland, is an antioxidant hormone with therapeutic effects. This research aims to reveal how Cadmium Chloride (CdCl2) affects antioxidant capacity by histological and biochemical methods and to test the effect of Melatonin in treating CdCl2-induced lesions in pregnant mice's stomach and small intestine. Control, CdCl2, Melatonin, and CdCl2 + Melatonin groups were created using pregnant mice (n: 6). CdCl2 (2 mg/kg/bw) and Melatonin (3 mg/kg/bw) were administered. The investigation was terminated after birth. Stomach and small intestine tissues were pull out and fixed in 10% formaldehyde. They were routinely histologically processed and dyed via Hematoxylin-Eosin. The tissues were appraised under light and electron microscopy, and biochemical analyses were carried out. A one-way analysis of variance (ANOVA) was applied to compare the groups, and LSD tests were used for pairwise comparisons (P < 0.05). While a reduction in body weight was noted in CdCl2 group (P: 0.01), no decrease was observed in the Melatonin group (P: 0.02). CdCl2 caused pathologies such as degeneration of gland cells, vacuole formation, and hemorrhage in the stomach. Although CdCl2 caused rupture and breakage of the villi in the intestine, these degenerations were minimal in CdCl2 + Melatonin group. CdCl2 also caused a significant decrease in antioxidant enzyme levels; however, the enzyme levels approached normal values in CdCl2 + Melatonin group. Melatonin may be an effective therapeutic agent for gastrointestinal organs lesions caused by increased CdCl2 during pregnancy
Bibliometric analysis of scientific productivity of selçuk university in academic studies: wos case (2019-2023)
Get PDFThis study was conducted to reveal the structure of Selçuk University's (SU) scientific productivity in academic studies. Scientific articles in English associated with SU were obtained from the Web of Science (WoS) database for the period 2019-2023 and analyzed with VOSviewer Statistical Analysis Program. Performance analysis indicated that SU is most frequently associated with academic articles indexed in the “SCI-EXPANDED” index in the fields of “Chemistry”, “Engineering”, “General Internal Medicine”, “Agriculture” and “Food Technology” in “2021”. The analysis of SU's scientific productivity was carried out in the context of co-authorship, authors, universities, and countries. The findings indicated that “Zengin, G.,” “SU,” and “Turkey” ranked first in terms of articles, citations, and total link strength. It was also concluded that “Zengin, G.” had the highest number of scientific collaborations with “Mahomoodally, M.F.”, “SU” with “Necmettin Erbakan University” and “Turkey” with “Italy”. © 2025, Murat Yakar. All rights reserved
Decoding degradation: The synergy of partial differential equations and advanced predictive models for lithium-ion battery
No full textRecent advancements in machine learning (ML) algorithms have transformed Li-Ion battery analysis, focusing on crucial parameters like State of Charge (SOC), State of Health (SOH), and Remaining Useful Life (RUL). However, due to increasing computational complexity and lack of fundamental process understanding within the developed models, conventional predictive tools suffer its integration in real world applications. To address this gap, our study introduces a hybrid modeling approach consisting of two stages. In the first stage, we apply various machine learning algorithms to predict battery degradation using empirical data, focusing on capturing the initial patterns of battery behavior under different operating conditions. In the second stage, we enhance these predictions by integrating Partial Differential Equations (PDEs) that incorporate fundamental physical principles governing battery performance. This combination creates a physics-informed ML model that bridges the gap between empirical data and theoretical understanding. The integration of PDEs significantly improves the model's accuracy in predicting both degradation and discharge capacity. Our results demonstrate a marked enhancement in key performance metrics, with the hybrid model achieving a Mean Square Error (MSE) of 0.2091, Root Mean Square Error (RMSE) of 0.4572 and Mean Absolute Error (MAE) of 0.2555. In comparison, the errors from the initial stage-one ML predictions were substantially higher, with MSE, RMSE, and MAE values of 10.3648, 3.2194, and 0.7392, respectively. These findings highlight the hybrid model's effectiveness and its potential to significantly improve battery management practices, ultimately contributing to the extension of battery lifespan.ORSP of Pandit Deendayal Energy University; DST SERB [IPA/2021/96]P. Y. acknowledges the ORSP of Pandit Deendayal Energy University and DST SERB (IPA/2021/96) for the financial support
Investigation of the effects of rib application on cooling in a turbine blade
No full textTurbine blades are system components exposed to extremely high temperatures. Effective cooling of turbine blades is essential to enhance efficiency and extend the operational lifespan of gas turbines. In this study, a new rib turbulator cooling design was tested for the NASA C3X turbine blade. The analyses were compared with those conducted on non-ribbed blades. According to the findings, an average surface temperature of 574.6 K and a maximum surface temperature of 661.8 K were achieved. These values indicate a cooling efficiency of 19.1% for the leading edge, which is exposed to the maximum temperature, and 29.75% for the average surface temperature. All data obtained from the study have been shared in the form of figures and graphs
A comparative evaluation of radiographic and computed tomography results in patients with lower respiratory tract infections with positive and negative sputum cultures: a retrospective observational study
No full textBackground and aim There is limited data on the correlation between findings of lower respiratory tract infections detected by chest computed tomography but not by chest radiography and sputum culture results. The aim of this study is to evaluate the relationship among sputum culture results, chest radiographic findings and computed tomography outcomes in patients diagnosed with lower respiratory tract infections. Materials and Methods Between January 2021 and September 2023, the clinical and radiological findings of patients diagnosed with lower respiratory tract infections, both those with and without positive sputum cultures, were retrospectively evaluated. Results In the studied cohort, 65.4% (n = 172) of the patients were male and 34.6% (n = 91) were female, with an overall mean age of 67.18 +/- 13.77 years. On chest computed tomography, consolidation was observed in 39.53% (n = 34) of patients with positive sputum cultures, compared to 23.72% (n = 42) of patients with negative cultures (p = 0,005). Furthermore, necrotising pneumonia findings were noted in 5.81% (n = 5) of culture-positive patients and 1.13% (n = 2) of culture-negative patients (p = 0.034). Infiltrative changes were detected in 81.4% (n = 70) of patients with positive cultures and 66.6% (n = 118) of patients with negative cultures on chest radiography (chi(2) = 20,492; p < 0.001). Conclusion The identification of findings on chest radiography is notably challenging in patients diagnosed with lower respiratory tract infections due to the presence of non-consolidative infiltrates and their respective anatomical locations. Moreover, the probability of detecting radiological findings on chest radiographs is enhanced in patients exhibiting positive sputum cultures
An improved gorilla troops algorithm for real-world engineering problems
No full textThere are many meta-heuristic algorithms inspired by nature for solving optimization problems. One of these algorithms is the Gorilla Troop Optimization (GTO) algorithm, which has been recently proposed for solving continuous optimization problems and is inspired by the behavior of gorilla troops in nature. GTO includes various mechanisms to utilize the exploration and exploitation processes efficiently. Due to this feature, although the success varies according to the problem size, it is generally known that GTO is a successful algorithm. In this study, levy flight and roulette fitness distance balance (LRFDB) are added to the basic GTO to explore the search space more efficiently. With this method added to GTO, the algorithm is named LRFDB-GTO. Thus, it is aimed to strengthen the global search capability of the algorithm. The performance of LRFDBGTO was analyzed on test functions. Then it was applied to real world problems. The results of LRFDB-GTO and the original GTO are compared in tables. At the same time, the convergence curves and box plots of the algorithms are presented in figures. The experimental results show that the LRFDB-GTO algorithm performs better than the original GTO. © 2025 IEEE
CD19 Deficiency Leads to Dysregulation of Phosphoinositide 3-Kinase-Protein Kinase B (PI3K/AKT) and Nuclear Factor Kappa B (NF-κB) Pathways: Implications for B-Cell Maturation and Immune Function
No full textObjective: CD19 is a cellular receptor belonging to the immunoglobulin (Ig) superfamily and serves as a critical signaling component in B-cells differentiation and activation. This study investigates gene expression changes in the phosphoinositide 3-kinase/protein kinase B (PI3K/AKT) and nuclear factor kappa-light-chain-enhancer of activated B cells (NF-kappa B) pathways in patients with CD19 deficiency. The role of CD19 in B-cell function was explored, along with its potential impact on these signaling pathways and the overall immune response. Materials and Methods: RNA samples were obtained from three patients diagnosed with CD19 deficiency, as well as heterozygous carriers and healthy controls. Gene expression profiles related to the PI3K/AKT axis and NF-kappa B pathway were analyzed using quantitative polymerase chain reaction (PCR). Results:The study revealed significant alterations in the expression of signaling pathway components, including PI3K, phosphoinositide-3-kinase regulatory subunit 1 (p85),TNF receptor-associated factor 2 (TRAF2), forkhead box O1 (FOXO1), and NF-kappa B, in CD19deficient patients. While PI3K and NF-kappa B expression were significantly downregulated in these patients, CD19, p85, FOXO1, and TRAF2 expression were markedly upregulated. These changes suggest impaired B-cell function, leading to weakened immune system responses. Conclusion: CD19 deficiency disrupts B-cell receptor signaling, resulting in significant alterations in the PI3K/AKT axis and NF-kappa B pathways. These disruptions impair B-cell maturation and survival, ultimately leading to compromised immune responses. This study provides the first detailed molecular insights into the effects of CD19 deficiency, enhancing our understanding of how these signaling pathways regulate immune function
Determining the hydrogen production potential of conmo₆se₈ chevrel phases
No full textIn this study, the ConMo6Se8 (n = 1, 2, 3, and 4) Chevrel phases are investigated by using Density Functional Theory (DFT) to reveal their potential for photocatalytic hydrogen production. The stability conditions of these phases reveal that CoMo6Se8, Co2Mo6Se8, and Co3Mo6Se8 satisfy the thermodynamic and mechanic stability properties, while Co4Mo6Se8 does not satisfy any of these properties. Furthermore, the formation enthalpy of these phases shows that CoMo6Se8, Co2Mo6Se8, and Co3Mo6Se8 can be synthesized experimentally due to having negative formation enthalpy values. Furthermore, the thermal stabilities of the machine-learning (ML) force fields are investigated by ab-initio molecular dynamics (AIMD) calculations. The electronic properties of these phases are also investigated in detail, and it is found that Co3Mo6Se8 has a suitable band gap for photocatalytic water splitting. Concerning the investigation of the valence band and conduction band levels, it is shown that Co3Mo6Se8 has a conduction band minimum level suitable for producing hydrogen. This study is the first attempt to reveal the hydrogen production performance of the ConMo6Se8 (n = 1, 2, 3, and 4) Chevrel phases as far as the literature is concerned, paving the ground for future investigations in this field.Gazi University Scientific Research Projects Coordination Unit; TUBITAK [120F305]; [FGA-2023-8982]The numerical calculations reported in this paper were performed at TUBITAK ULAKBIM, High Performance and Grid Computing Center (TRUBA resources) and Istanbul Technical University National Center for High Performance Computing (ITU-UHEM). The software used in this study was supported by Gazi University Scientific Research Projects Coordination Unit under Project Number FGA-2023-8982. TUBITAK supported this work under project number 120F305