Madras Christian College (MCC) is a liberal arts and sciences college in Chennai, India. Founded in 1837, MCC is one of Asia's oldest extant colleges. The college is affiliated to the University of Madras but functions as an autonomous institution from its main campus in Tambaram, Chennai. Established originally as a school for boys in the place where Anderson Church is located, the institution evolved into one of the pioneering modern colleges for higher education in India by mid-nineteenth century. From its origins as a missionary endeavor of the Church of Scotland, MCC's alumni and professors include several civil servants, administrators, educators, business people and political leaders, around the world.
Thiosemicarbazone is a versatile structural motif exhibiting wide spectrum of bioactivity and hence plays a vital role as a valuable pharmacophore in the field of medicinal chemistry. In the present study, we designed a library of benzoin substituted methyl phenyl thiosemicarbazones, which were, then, subjected to molecular docking studies with eight promising therapeutic targets in the pathway of lung cancer, a tangible threat to human health, to identify the anticancer activity and to explore the binding interactions with the receptors. The parent compound exhibits better docking results with the target proteins 5ITA and 5X2F, than the five positive control drugs, Gemcitabine, Lorlatinib, Gefitinib, Afatinib and Adagrasib. The top three best molecules, D4, D9, and D11, which exhibited the highest binding affinity values, were subjected to 100 ns molecular dynamics simulations. This approach facilitated to comprehend how stable the docked compounds were in the protein’s binding pockets. Moreover, in silico ADME studies were carried out to assess key pharmacokinetic profiles. The study reveals the potential inhibitory activity of the designed compounds, D4, D9, and D11, in specific, with favorable pharmacokinetic properties, targeting lung cancer. The results are anticipated to be valuable contributions in fostering the development of more effective and potent drugs targeting lung cancer treatment.
This work explores the influence of solvent environments on the third-order nonlinear optical (TONLO) behavior of Alizarin Red S (ARS dye). The nonlinear refractive index (n₂) and nonlinear absorption coefficient (β) were measured using a continuous-wave (CW) laser at 405 nm, employing the closed aperture (CA) and open aperture (OA) Z-scan techniques, respectively. The dye exhibited a self-defocusing, saturable absorption (SA) and reverse saturable absorption (RSA) based optical nonlinearities. Across all solvents tested, the dye showed notable TONLO susceptibility, with DMSO yielding the highest values. The TONLO susceptibility and second-order hyperpolarizability were found to be in the range of 10⁻⁷ esu and 10⁻³¹ esu, respectively, in all solvents. The Kamlet-Abboud-Taft multi-linear regression analysis was employed to evaluate the influence of individual solvent parameters on the behavior of ARS dye. Density Functional Theory (DFT) calculations were performed to optimize the dye’s molecular geometry and determine its linear polarizability (α), first-order hyperpolarizability (β), and second-order hyperpolarizability (γ) in solvents such as ethanol, methanol, acetone, 1-propanol, DMF, and DMSO. The theoretical results aligned well with experimental data, highlighting the dye’s promising potential for NLO applications.
The development of solid-state electrolytes that simultaneously ensure safety, sustainability, and efficient Mg2+ transport remain elusive for magnesium-ion batteries. In this work, a high-performance biodegradable solid polymer electrolyte is systematically designed through a synergistic combination of guar gum, glycerol, and magnesium chloride salt. The polymer-plasticizer-salt interactions effectively disrupt structural ordering, generating a highly amorphous ion-conducting network that facilitates enhanced Mg2+ transport. Vibrational and spectroscopic analyses reveal strong coordination between polymer functional groups and magnesium ions, while morphological observations confirm uniform and homogeneous electrolyte films. The optimized system exhibits an ionic conductivity of 1.02 & times; 10-4 S/cm at ambient conditions, along with a high ionic transference number of 0.96, indicating dominant ionic conduction. A stable electrochemical window of 2.05 V and an open-circuit potential of 2.43 V are achieved through linear sweep voltammetry and fabrication of primary Mg2+ ion cells. Notably, the electrolyte demonstrates excellent electrochemical reversibility and prolonged cycling sta-bility over 1000 cycles. This facile combination provides a promising pathway for the development of high-performance solid-state magnesium ion batteries.
Leaf diseases pose a significant threat to agricultural productivity and ecosystem stability worldwide. This paper employs an advanced CNN model—Efficient Net, to accurately perceive and classify the fungal leaf contagions in tomato and grape plants, such as late blight and early blight in tomatoes and black rot, esca, grape blight in grapevines. The model provides a precise calculation of disease spread percentage on each leaf, offering valuable discernments. This quantification allows for a more accurate assessment of infection severity, enabling targeted disease management strategies. The results offer a detailed quantitative analysis of leaf infirmities, enhancing the understanding of disease progression in grape and tomato plants, with the model achieving 89
We introduce and study a family of two-head finite automata called two head returning finite automata (2-HRFA) operating on rectangular arrays of picture languages, in which both heads move in opposite directions. We show that the class of picture languages accepted by 2-HRFA is incomparable with the class of languages generated by context-free matrix grammars (CFMG), while it forms a proper subset of the class of languages accepted by returning pushdown automata (RPDA). In addition, we define a constrained variant, both head stepping two head returning finite automata (B2-HRFA), in which both heads are required to move in a synchronized, stepwise fashion. We prove that the class of languages accepted by returning finite automata (RFA) is a proper subset of the class of languages accepted by B2-HRFA, which in turn is a proper subset of the class of languages accepted by 2-HRFA. Closure properties for both the families of languages accepted by 2-HRFA and B2-HRFA are also investigated.
