Saveetha Institute of Medical And Technical Sciences is a private and deemed-to-be-university located in Chennai, Tamil Nadu, India. It has nine disciplines of studies: Dental College, School of Management, School of Law, School of Engineering, College of Liberal Arts and Sciences, School of Physiotherapy, School of Nursing and Medical College. The first three disciplines are in Poonamalle while the rest are in Thandalam. Saveetha Engineering College is an Anna University-affiliated institution. Admissions are done through Class 12th Indian board examinations..
The design of hybrid electrode materials that synergistically combine high pseudocapacitance and fast charge transport is crucial for the development of next-generation supercapacitors. In this study, a novel Fe-SnO2/ Ti3C2Tx MXene composite was successfully synthesized via a hydrothermal route and investigated for its electrochemical performance in a three-electrode configuration. Structural and morphological analyses using XRD, SEM, TEM, BET and EDS confirmed the uniform anchoring of Fe-SnO2 nanoparticles onto the layered MXene sheets, forming a well-integrated hybrid nanostructure. Electrochemical measurements conducted in 1 M KOH electrolyte demonstrated that the composite exhibits superior charge storage capabilities with a high specific capacitance of 1225.6 F g-1 at 1 A g-1, excellent rate performance with 277.2 F g-1 retained at 30 A g-1, and outstanding cycling stability, maintaining 92.7 % capacitance after 10,000 cycles. The Fe-SnO2/Ti3C2Tx composite electrode outperformed its individual counterparts due to the synergistic interaction between the redoxactive metal oxides and the highly conductive, ion-accessible MXene matrix. This work highlights the potential of such hybrid nanostructures for high-performance supercapacitor applications and provides a framework for future electrode design strategies.
Coffee has long promoted international trade and prosperity, employing millions of small-scale producers. The high demand for this crop has resulted in global supply networks. Young coffee seedlings are vulnerable to fungal diseases such as damping-off and root rot, which cause significant damage and substantially reduce plant productivity. Signs include wilting, root rot, and seedling death both before and after sprouting. Deep learning could allow automatic and scalable prediction of plant diseases. This study aims to enhance early detection of coffee seedling diseases, ensure model adaptability across samples, and optimize computational efficiency for practical implementation. The proposed Vision-based Heterogeneous Graph Neural Network (Vi-HGNN) model, which combines computer vision and graph neural networks (GNNs), provides information about disease transmission patterns over time and space. After training, the model can accurately detect early signs of infection, allowing farmers to intervene before the damage spreads. Experimental results show that Vi-HGNN achieves a 97.77 % detection accuracy, outperforming existing methods in precision, F1-score, and pathogen coverage. Future developments will aim to expand detection capabilities to include additional diseases, pests, and weeds, improving overall crop health monitoring.
A novel thiocyanic-cobalt(II) complex, [Co(NCS)4(C6H15N2)2], was successfully synthesized by reacting CoCl2·6H2O with 1-Ethylpiperazine and KSCN via an ambient temperature evaporation method. The complex was thoroughly characterized using a suite of experimental and computational techniques, including Single Crystal X-ray Diffraction SC-XRD, FTIRand UV-Vis spectroscopy, ATG-ATD/DSC thermal analysis, Hirshfeld Surface Analysis HSA, impedance spectroscopy, and biological assays (antimicrobial activity and molecular docking). SC-XRD revealed that the complex crystallizes in the monoclinic system with the P21 space group, featuring a tetrahedral Co(II) coordination environment. HSA confirms that the structure is primarily stabilized by strong N—H…S hydrogen bonds. UV-Vis and FTIR analyses were consistent with the crystal structure, while thermal analysis demonstrated stability up to 28 °C before decomposition in the [28–600]°Crange.Crucially, impedance spectroscopy revealed fascinating electrical behavior, yielding a high AC conductivity of 1.2 10− 4S/cm at 450 K, which strongly suggests the complex is a promising component for electronic chip applications under specific conditions. Furthermore, the complex exhibits significant dual biological activity: molecular docking against the malaria protein 7F3Y confirmed a stable and specific interaction with a remarkable binding affinity of -8.5 kcal/mol. In parallel, the complex displayed potent antimicrobial activity, notably acting as an inhibitor against Staphylococcus aureus with a minimum inhibitory concentration MIC of 3.125 g/mL. These combined findings position the [Co(NCS)4(C6H15N2)2] complex as a versatile, multi-functional material with strong potential in both electronics and pharmaceutical development.
This study examines the impact of solution treatment with both short and long-term aging on the Ti-6Al-4V (Grade 5) alloy's mechanical, wear, and corrosion properties. Following a solution treatment that lasted 60 min at 960 °C, the short-term aging (DHTS) treatment for 120 s at 550 °C was conducted. Long-term aging (DHTL) procedures involve aging an alloy for 300 min at 550 °C after the solution treatment. A ball-on-plate sliding wear testing equipment with Ti-6Al-4V alloy as the plate and an alumina ball as a pin was utilized. Open-circuit potential-time measurements and potentiodynamic polarization studies were employed to assess the corrosion potential behaviour in a 3.5
Purpose This study aims to examine the impact of India’s Unified Payments Interface (UPI) on rural financial inclusion and economic growth (2019–2023), focusing on entrepreneurship, household financial behaviour and business formation. It identifies the mechanisms through which UPI adoption drives rural economic transformation. Design/methodology/approach Using a difference-in-differences approach, the study analyses UPI transaction data and household surveys from 200 villages across four Indian states to assess causal effects on financial and economic outcomes. Findings Villages with higher UPI adoption saw a 27% rise in business registrations, a 34% increase in savings accounts and a 42% growth in female-owned enterprises. In comparison, informal borrowing declined by 53% and digital credit access improved by 29%. These effects stemmed from lower transaction costs, better financial information access, network effects driving adoption and increased trust in digital finance. Research limitations/implications The findings are confined to four Indian states – Maharashtra, Karnataka, Uttar Pradesh and Gujarat – and the extrapolation to other regions or emerging economies needs to be taken with caution, observing local economic and institutional conditions. Long-term consequences need to be investigated further. Regional differences, wealth generation and policy reforms applicable to other economies need to be considered in future research. Practical implications Strategic deployment of digital finance, literacy programmes and regulatory safeguards can maximise inclusion and economic impact. UPI adoption also empowers women entrepreneurs, formalises businesses and reduces informal lending dependence, but it requires mitigation of digital exclusion and cybersecurity risks. Originality/value To the best of the authors’ knowledge, this study provides the first causal evidence of UPI’s role in rural economic transformation, introducing a theoretical framework linking digital finance to market integration and financial inclusion.
