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    10042 research outputs found

    Exploring the potential of one-dimensional functionalized multi-walled carbon nanotubes in triboelectric nanogenerator for self-powered applications

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    The present study introduces a novel attempt in enhancing the performance of triboelectric nanogenerators (TENGs) by incorporating one-dimensional functionalized multi-walled carbon nanotubes (FMWCNTS) into the polymer matrix to employ as a tribopositive layer. This study systematically investigates the influence of FMWCNTS concentration, external force frequency, and applied force on the electrical output of the FMWCNTS:TENGs, providing valuable insights into optimizing their performance for various applications. The results showed that FMWCNTS:TENGs exhibited significant improvement in electrical output compared to pristine PVA-TENGs, with an optimal FMWCNTS concentration of 2.00 mL yielding the highest voltage of 354.53 V and current of 17.63 µA. The device also exhibited excellent electrical stability and mechanical durability over 12,000 cycles of operation. The results highlight the potential of FMWCNTS in improving the triboelectric properties of TENGs, making them promising contenders for self-powered applications, including wearable electronics, sensors, and ambient energy harvesting. © 2025 The Author

    Structural and computational investigations of amide derivative: Conformational, supramolecular analysis, and biological evaluation

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    Structural studies of amide bonds in organic molecules are crucial due to their significance in biomolecules such as peptides, proteins, DNA, and RNA. In this study, we synthesized a novel 4-methoxy-N-(2-(methylthio)phenyl)benzamide molecule and characterized it using spectroscopic techniques and X-ray diffraction analysis. Structural investigations confirm that the molecule adopts a trans form with an anti-periplanar (+ap) conformation. The intramolecular interactions of the amide chain play a key role in maintaining the overall molecular conformation. Additionally, the amide group contributes to the supramolecular architecture by forming intramolecular interactions along with other interactions in stabilizing the supramolecular architecture. π-based intramolecular interactions further enhance crystal packing stability. Various computational analyses, including Hirshfeld surface analysis, QTAIM, and Enrichment ratio analysis, were conducted to evaluate the nature of these interactions. Moreover, DFT studies were performed to determine the HOMO-LUMO energy gap and identify active sites using MEP. The comparison of 4MPB, 4MPB-Ortho, and 4MPB-Meta based on their electronic properties highlights notable differences in their stability and reactivity. Biological properties were assessed using ADMET and docking studies. © 202

    Applications of gene editing and nanotechnology in stem cell-based therapies for human diseases

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    Stem cell research is a dynamic and fast-advancing discipline with great promise for the treatment of diverse human disorders. The incorporation of gene editing technologies, including ZFNs, TALENs, and the CRISPR/Cas system, in conjunction with progress in nanotechnology, is fundamentally transforming stem cell therapy and research. These innovations not only provide a glimmer of optimism for patients and healthcare practitioners but also possess the capacity to radically reshape medical treatment paradigms. Gene editing and nanotechnology synergistically enhance stem cell-based therapies' precision, efficiency, and applicability, offering transformative potential for treating complex diseases and advancing regenerative medicine. Nevertheless, it is important to acknowledge that these technologies also give rise to ethical considerations and possible hazards, such as inadvertent genetic modifications and the development of genetically modified organisms, therefore creating a new age of designer infants. This review emphasizes the crucial significance of gene editing technologies and nanotechnology in the progress of stem cell treatments, particularly for degenerative pathologies and injuries. It emphasizes their capacity to restructure and comprehensively revolutionize medical treatment paradigms, providing fresh hope and optimism for patients and healthcare practitioners

    Quercetin inhibits platelet activation and ER-stress mediated autophagy in response to extracellular histone

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    Background: Cellular histones are DNA-binding nuclear proteins involved in chromatin remodelling and regulation of gene expression. However, extracellular histones act as damage-associated molecular patterns (DAMPs) and contribute to multiorgan damage in conditions with sepsis and diseases with acute critical illnesses. Alongside, histones are associated with thrombocytopenia due to dysfunctional platelets that regulate hemostasis and thrombosis. There is no drug available to prevent histone-induced platelet toxicity. Therefore, we for the first time examined quercetin (QUE) as a novel therapeutic to protect histone-induced platelet toxicity. Purpose: To delineate how histones induce platelet toxicity and investigate the protective efficacy of quercetin (QUE), a natural dietary phytochemical. Study design/method: Histone-treated platelets were evaluated for platelet aggregation/activation markers, various autophagy-related signaling proteins, and cytotoxicity in vitro. For the inhibition study, QUE and other standard inhibitors were pre-treated before stimulation with histones. Further, we injected histones into mice in the presence or absence of QUE and evaluated the tail bleeding, lung toxicity, and circulatory platelet stress markers. Additionally, QUE-treated mice were challenged for histone-primed Collagen-epinephrine-induced pulmonary thromboembolism

    Artificial intelligence and its impact on consumer behavior and marketing management

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    The evolution of artificial intelligence (AI) from algorithmic decision-making to the emergence of generative AI (GenAI) is the main subject of this article, which examines the substantial influence of AI on consumer behaviour. With a move from conventional predictive models to more modern generative models like transformers and diffusion models, it examines how AI’s predictive powers have affected consumer behaviour over the past 15 years. With AI-powered solutions enabling more efficient client segmentation, targeted marketing, and individualised customer service—all of which increase customer engagement and loyalty—the study emphasises the growing significance of AI in marketing. Nonetheless, issues like the absence of human engagement in AI-powered interactions and sporadic errors in AI forecasts are addressed. The study ends with a forward-looking assessment of AI’s potential, highlighting how it might transform marketing, alter consumer behaviour, and improve corporate brand management. With the help of this study, the paper suggests future topics of inquiry and highlights how companies must adjust to the quickly evolving AI-driven landscape in order to stay competitive

    Synthesis and characterization of quinoxalinone-based heterocycles for corrosion inhibition: electrochemical, spectroscopic, and microscopic studies with theoretical analysis

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    PurposeThis study aims to synthesize two organic heterocyclic compounds, (2E,3E)-6-chloro-2,3-dihydrazinylidene-1-methyl-1,2,3,4-tetrahydroquinoxaline (MR1) and (2E,3E)-2,3-dihydrazinylidene-1-methyl-1,2,3,4-tetrahydroquinoxaline (MR2), characterize them using nuclear magnetic resonance spectroscopy (1H-NMR and 13C-NMR) and evaluate their effectiveness as corrosion inhibitors in an acidic environment (15% HCl).Design/methodology/approachThe synthesized compounds, MR1 and MR2, were tested for their corrosion inhibition properties using potentiodynamic polarization and electrochemical impedance spectroscopy. Post-corrosion, the steel surface was analyzed with scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDX) and atomic force microscopy (AFM) to confirm the adsorption of the compounds. The experimental findings were further supported by density functional theory calculations and molecular dynamics simulations.FindingsThe results indicated that both MR1 and MR2 exhibit significant anticorrosive activity in a 15% HCl environment. The analyses performed with SEM, EDX and AFM confirmed the effective adsorption of the inhibitors on the steel surface, forming a protective layer. Theoretical studies provided additional insights into the adsorption mechanisms and stability of the inhibitors.Originality/valueThis work introduces novel organic heterocyclic compounds based on quinoxalinone as effective corrosion inhibitors in acidic environments. The combined experimental and theoretical approach provides a comprehensive understanding of their anticorrosive behavior

    Unveiling the multifunctionality of chalcone-based organic crystal: A study on nonlinear optics, photoluminescence, and molecular simulations

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    A novel chalcone derivative, (E)-3-(2,6-difluorophenyl)-1-(4-nitrophenyl)prop‑2-en-1-one (DNP), was synthesized and thoroughly characterized to investigate its potential in optoelectronic and biomedical applications. Single-crystal X-ray diffraction (SC-XRD) revealed a monoclinic crystal system with a C2/c space group, while spectroscopic methods including NMR, FTIR, and UV–Vis provided complementary insights into its structural and electronic properties. The optical studies indicated a high transmittance (97.30 %) between 475 and 800 nm, and an optical band gap (Eg) of 3.51 eV, confirming its suitability for optoelectronic devices. Photoluminescence (PL) analysis demonstrated a prominent blue emission at 456 nm, with CIE coordinates of (X=0.171935, Y=0.168741), suggesting potential for blue LED applications. The third-order NLO properties were evaluated using the Z-Scan technique, and revealed a third-order susceptibility (χ(3)) of 6.57×10–8 esu and an observed optical limiting (OL) threshold at 4.495×103 Wcm-2, highlighting DNP's optical limiting capabilities. Furthermore, computational investigations based on DFT provided insights into the electronic structure (Frontier Molecular Orbitals) and charge distribution (Natural Bond Orbital). Molecular docking and dynamics simulations further validated the dual inhibitory potential of DNP against monoamine oxidases (MAO-A and MAO-B), with binding affinities of -8.76 kcal/mol and -9.80 kcal/mol. Overall, these findings demonstrate the multifunctionality of DNP as a promising candidate for applications in nonlinear optics, optoelectronics, and biomedicine. © 2025 Elsevier B.V

    Identification of high confidence genes involved in the manifestation of ventricular septal defect

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    Background: Ventricular septal defect (VSD) is one of the common congenital heart malformations. Potential risk genes involved in the manifestation of VSD still need to be identified. Methods: The whole exome sequencing was performed on 24 congenital heart disease (CHD) subjects, 19 with VSD, two with VSD-associated atrial septal defects (ASD), and three with tetralogy of fallot (ToF). Besides, data mining using two CHD databases, a knowledgebase for nonsyndromic congenital heart disease-associated risk factors (CHD-RF-KB), and CHDbase and PubMed using medical subject headings were performed to prioritize the genes for further analysis in our study. The functional effects of variations of the selected genes were assessed using prediction tools to check the variant pathogenicity. The protein–protein network was established to identify the interactions among the proteins and their role in heart developmental pathways. Results: The whole exome sequencing analysis identified 628 genes with variants of minor allele frequency T in MTRR, recurrently occurred in nine CHD subjects, which resulted in the change of an amino acid from serine to leucine, suggesting a change in the functionality of the protein. Besides, four variations in GATA4 and one in TBX20 showed high pathogenicity scores. The protein–protein network showed high interactions among 26 transcription factors, and the TNNT2, MYL7, and ZFPM2 were the newly identified proteins in the network. Conclusions: The present study identified 37 potential risk genes through exome sequencing and interaction network analysis based on strong evidence from previously reported studies. From these genes, 176 variations were identified, of which 166 were newly reported from our samples, and 10 were previously reported, indicating that these are novel variants for the Indian population. Therefore, these genes and the variations can be a potential biomarker for creating the gene panel for CHD. © The Author(s) 2025

    Influence of Germanium oxide nanoparticles on the electrical conductivity of Li-ion conducting NaCMC/PVA nanocomposite films

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    This study examines the influence of GeO2 nanoparticles (NPs) on the ionic conductivity and structural properties of NaCMC/PVA/LiBr-based solid polymer electrolytes synthesized via solution casting technique. XRD analysis revealed enhanced amorphous character with increasing GeO2 content. FTIR spectra confirmed interactions between GeO2 NPs and the polymer-salt matrix. SEM and EDX analyses were used to investigate morphology and elemental composition. UV–Vis spectroscopy showed a redshift in absorption edge and a bandgap reduction from 5.70 to 5.50 eV with GeO2 addition. Impedance spectroscopy (100 Hz - 5 MHz) indicated improved ionic conductivity, following Jonscher's universal power law, with a maximum value of (1.13 ± 0.02) × 10−5 S cm−1 at 5 wt% GeO2. LSV confirmed electrochemical stability up to 2.7 V. Dielectric studies revealed an increase in permittivity due to interfacial polarization. Transference number measurement evaluates the relative contributions of ionic and electronic charge carriers in solid polymer electrolytes using polarization technique. These results highlight the potential of GeO2-dispersed NaCMC/PVA/LiBr films for energy storage applications. © 202

    Triazolyl-indolo-quinoxaline triggers differential cell death pathways in pancreatic cancer via ROS/p38 axis

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    Pancreatic cancer is characterized by aggressive progression, rapid metastasis, and resistance to conventional therapies, resulting in poor survival outcomes. Despite significant advances in research, effective treatment options for pancreatic cancer remain limited. In this study, we investigated the mechanisms of SRN-19-induced cell death in pancreatic cancer cells. Our findings demonstrated that SRN-19 promotes both apoptosis and paraptosis. Molecular analyses confirmed the upregulation of apoptotic markers, including cleaved PARP, Bax, and caspase-9/3, along with the downregulation of anti-apoptotic proteins Bcl-2 and Bcl-xL in both MIA PaCa-2 and AsPC-1 cells. Additionally, SRN-19 treatment led to reduced Alix expression and elevated levels of ATF4 and CHOP, markers associated with paraptosis, accompanied by alterations in mitochondrial membrane potential (MMP) in BxPC-3 cells. SRN-19 also induced a dose-dependent increase in reactive oxygen species (ROS) production and a corresponding decrease in the GSH/GSSG ratio. Pretreatment with N-acetylcysteine (NAC) attenuated ROS accumulation, restored Alix expression, and reduced cleaved PARP levels, confirming the involvement of ROS in apoptosis induction. Furthermore, SRN-19 activated the p38 MAPK pathway, and inhibition of p38 by SB203580 diminished ROS levels, reduced cleaved PARP expression, and restored MMP. Collectively, these results suggest that SRN-19 promotes ROS generation, activates the p38 MAPK pathway, and induces cell death in pancreatic cancer cells through both apoptotic and paraptotic mechanisms. © Elsevier B.V

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