Erciyes University - AVESIS
Not a member yet
96078 research outputs found
Sort by
ClioMD: An artificial intelligence model for ciliopathies
No full textCilia are highly specialized cellular organelles that serve multiple functions in human development and health. Their central importance in the body is demonstrated by the emergence of various developmental disorders resulting from defects in cilia structure and function caused by different inherited mutations in more than 150 different genes. Genomic analysis has rapidly improved our understanding of ciliopathies' intracellular molecular biological basis over the past two decades, and new technological advances have accelerated this progress. However, most of the time, in correlation of phenotypic results with genetic variation and environmental factors, patient phenotypes do not match with the thought disease despite being a basic search in genomic medicine, candidate variants are in genes not characterized by disease, and model organisms are insufficient to explain the disease, many obstacles continue to hinder rapid and accurate diagnosis. Using advanced computing tools, artificial intelligence models can phenotypically identify overlapping disease models, such as ciliopathies, in research and diagnostic contexts. Large-scale integration of model organisms and clinical trial data can provide a wealth of knowledge unavailable in individual sources and contextualize data back to these sources. In this context, with the machine learning platform we designed, ClioMD, a program that is compatible with the HPO guideline, OMIM, GeneCards, and ClinVar databases, provides treatment and genetic counseling recommendations online in English, enabling individuals affected by ciliopathies such as Joubert syndrome, Cornelia de Lange, Bardetp Biedl syndrome, etc. to get a fast and accurate diagnosis. In conclusion, the ClioMD platform enables you to explore the relationship between phenotype and genotype for disease and as a tool to help you make an accurate diagnosis
TÜRK KOMUTANLARIN ABBÂSÎLER DEVLETİ’NDEKİ ETKİSİ VE ROLÜ BAĞLAMINDA “BOĞA ES-SAĞÎR ET-TÜRKÎ (BOĞA EŞ-ŞERÂBÎ) ÖRNEĞİ”
No full textIntra- and inter-layer dynamics of a two-layer Izhikevich neuron map
No full textIn this study, along with a flux controlled memristor for inter-layer synaptic connection, an Izhikevich neuron map of two layer has been built where distance dependent chemical coupling among neurons within each layer. The distance term with power-law factor between neurons placed in a square form is included in the chemical coupling. Dynamic behaviors of intra-layer, inter-layer and total neuron map have been evaluated by changing the coupling strength, distance term and its power law factor. Error term, synchronization factor, and incoherence strength have been used to evaluate simulation results quantitatively. Numerical simulation results show that there are disordered, synchronous and chimera states in both intra- and inter-layers depend on the coupling strength. Furthermore, the memristor layer has also same responses parallel to the intra- and inter-layer. On the other hand, network dynamics have been also effected by distance term and its power law factor. When the distance term is set to unity, as the power-law factor decreases, neuronal nodes achieve to synchronization more quickly for same variation of the chemical coupling strength. However, if coupling strength is set to big enough, the effect of distance term disappears. Moreover, when the power-law factor is adjusted to unity, as the distance term increases, neural network can achieve synchronization with greater chemical coupling strength. Additionally, the simulation results have been verified experimentally on a DSP platform
Royal jelly alleviates gemcitabine-induced ovarian toxicity: an investigation on rat models
No full textBackground: Royal Jelly (RJ), an important product of apitherapy, has been traditionally used for its various health benefits, particularly for its anti-inflammatory, antioxidant, and immune-modulatory properties. RJ’s ability to reduce oxidative stress, inflammation, and cellular damage has made it a promising candidate for preserving ovarian function and fertility during cancer treatments. Gemcitabine (GEM) is an antimetabolite chemotherapeutic drug known to cause ovarian toxicity. To date, there has been no study evaluating the protective effects of RJ specifically against GEM-induced ovarian damage, making this an original contribution to the field. This study investigated RJ’s protective effects against GEM-induced ovarian toxicity in rats. Method: Thirty-two female Wistar-Albino rats were divided into four groups: Control, RJ, GEM, and GEM + RJ. GEM (200 mg/kg) was administered intraperitoneally, while RJ (100 mg/kg) was given orally for one week before GEM administration. Histopathological, immunohistochemical, and biochemical analyses were performed to assess ovarian tissue damage, inflammation, and oxidative stress markers. Results: GEM treatment caused ovarian damage, including vascular congestion, vacuolization, and Hemorrhage. RJ partially suppressed GEM-induced increases in TNF-α, IL-1β, and IL-6 levels and enhanced AMH expression only in primary follicles. Additionally, RJ only partially lowered FSH levels while increasing LH levels. RJ also counteracted GEM-induced oxidative stress by reducing MDA levels and partially enhancing SOD and CAT activity. GEM caused ovarian damage, including vascular congestion, vacuolization, hemorrhage, inflammation, and oxidative stress. Conclusions: RJ partially reduced inflammatory response and oxidative stress, supported follicular development, increased AMH expression, and alleviated histopathological damage. This original study highlights the potential of RJ as a natural adjunct to preserve ovarian reserve during gemcitabine chemotherapy, while emphasizing the need for further research to determine its long-term effects and optimal dosage
Generalized Trial Equation Scheme and Enhance Modified Extended Tanh Function Method with Nonparaxial Pulse Propagation to the Cubic-Quintic Nonlinear Helmholtz Equation
No full textIn this paper, some optical soliton solutions for the cubic-quintic nonlinear Helmholtz equation are extracted by utilizing two effective analytical techniques, i.e the generalized trial equation scheme (GTES) and enhance modified extended tanh function method (eMETFM). The governing equation undergoes transformation into an ordinary differential equation (ODE) through a well-suited wave transformation. The achieved solutions are structured in the forms of the exponential, trigonometric, hyperbolic, and Jacobi elliptic function solutions. Different soliton solutions like, dark, bright, singular bright, singular periodic, W-M-shaped soliton solutions are obtained. Additionally, the reliability and effectiveness of the applied methodologies, some of the achieved solutions are visualized in 2D, 3D and density representation by choosing well parameters values. In particular, four forms of solution functions including soliton, bright soliton, singular soliton, periodic wave solutions are investigated. To achieve this, an illustrative example of the Helmholtz equation is provided to demonstrate the feasibility and reliability of the procedure used in this study. A multiplier technique is then used to derive conservation laws. The effect of the free parameters on the behavior of acquired figures using the obtained solutions to investigate the proposed model also analyzed due to the nature of nonlinearities. Moreover, some selected solutions are illustrated graphically to show the physical nature of obtained solutions. These techniques offer a strong foundation for resolving nonlinear partial differential equations, which are crucial for simulating intricate cubic-quintic physical processes. This model may be significant in the investigate of the propagation of ultrashort optical pulses in the non-paraxial domain
Experimental and theoretical studies on Ritlecitinib: A new electrochemical sensor, DFT, and Molecular Docking
No full textThis study reports the fabrication of an innovative electrochemical sensor developed for the ultrasensitive determination of Ritlecitinib (RITL), utilizing a glassy carbon electrode (GCE) modified with a novel Ni-CO-MW nanocomposite. The nickel–cobalt multilayer nanowires (Ni-CO-MW) material was successfully synthesized, and its structural and morphological properties were confirmed through various characterization techniques, including Fourier transform infrared spectroscopy (FT-IR), X-ray diffraction (XRD), scanning electron microscope (SEM), SEM-energy dispersive X-ray (SEM-EDX), and Brunauer-Emmett-Teller (BET). Electrochemical analyses, including cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS), revealed the composite's excellent conductivity, enhanced electrocatalytic performance, and efficient electron transfer behavior. The modified GCE was employed in differential pulse voltammetry (DPV) for the quantification of RITL in a Britton-Robinson (BR) solution (pH 6.0). The sensor exhibited a broad linear response range from 0.09 to 6.8 µM, with an impressively low limit of detection (LOD) of 0.0028 µM and a limit of quantification (LOQ) of 0.0094 µM. Additionally, it exhibited outstanding selectivity, reproducibility, and repeatability. The practical applicability of the sensor was validated through successful analysis of RITL in pharmaceutical formulations, as well as in human urine and human serum samples. Density Function Theory (DFT) calculations were performed by using the B3LYP/6-31+G(d,p) level to determine total and frontier molecular orbital energies, chemical parameters, the configuration of the HOMO and LUMOs and the molecular electrostatic potential (MEP) surfaces of RITL. The molecular docking calculations were also carried out to predict non-covalent interactions between the inhibitor molecule RITL and the active sites of the JAK3 kinase enzyme system (PDB ID: 5TOZ)
STUDYING THE POSSIBILITY OF USING BEAN PEEL EXTRACT AS A SOURCE OF DIETARY FIBER AND PROTEINS IN THE PASTRY INDUSTRY
No full textSTUDYING THE POSSIBILITY OF USING BEAN PEEL EXTRACT AS A SOURCE OF DIETARY FIBER AND PROTEINS IN THE PASTRY INDUSTRY Ali Haseeb Yaseen AL KHATTAB1/ Prof. Dr. Ali İrfan ILBAS2/ Assist. Prof. Dr. Maher Ahmed ABED3 1Erciyes University, Graduate School of Natural and Applied Sciences, Department of Agricultural Sciences and Technologies, Kayseri, Türkiye, e-mail: [email protected], https://orcid.org/0009-0006-0810-2353 2Erciyes University, Faculty of Agriculture, Department of Field Crops, Kayseri, Türkiye, [email protected], https://orcid.org/0000-0001-9640-5237 3University of Anbar, College of Agriculture, Department of Food Sciences, Anbar, Iraq, [email protected], https://orcid.org/0000-0001-7365-2331 Abstract This perspective, this study aimed to explore the functional and nutritional potential of fava bean (Vicia faba L.) pod shells as a neglected raw material that can be used in the confectionery industry, particularly cakes, within the framework of a scientific approach based on chemical, physical, biological, and functional analysis. A series of laboratory tests were conducted on fava bean peel powder, including: chemical composition, mineral content, detection of chemically active compounds, qualitative and quantitative analysis of amino acids, evaluation of functional properties (such as water and fat holding capacity, emulsification, and foam formation), and measurement of antioxidant and antibacterial properties. The results showed that fava bean peels are a rich source of biologically important nutrients, recording good levels of dietary fiber (13.22%) and protein (3.81%), in addition to containing vital minerals such as iron, magnesium, potassium, and zinc. Spectral analyses also revealed the presence of phenolic compounds, most notably Rutin, Kaempferol, Caffeic acid. In addition to Quercetin, which showed remarkable effectiveness in neutralizing free radicals according to the DPPH test, which supports the possibility of using them as natural antioxidants. Alcoholic and aqueous extracts of the peel powder also demonstrated remarkable effectiveness in inhibiting the growth of a group of Gram-positive and Gram-negative bacteria. At the functional level, fava bean peel powder demonstrated significant technical properties in the food industry, including high water and fat retention capacity, good emulsification and foam formation indicators, with remarkable stability at specific pH values, qualifying it for use as a functional ingredient in pastries. Keywords: Fava Bean Peels, Functional Food Ingredients, Antioxidant and Antibacterial Activity 2. INTERNATIONAL OHRID SCIENTIFIC RESEARCHES AND INNOVATION CONGRESS” 02-03 August 2025, N. MACEDONIA https://www.wosconkongreleri.com/ 116 </p