Lakshminath Bezbaroa Central Library Digital Repository
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- It manages, preserves & makes available the academic works of faculty and research scholars.
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Recent Submissions
Loan Portfolio Management in the Paradigm of Leveraged Risk, Liquidity Risk and Limited Liability
(2025) Barik, Deb Narayan
In the context of a loan portfolio, banks and other financial institutions are subjected to Limited Liability protection. However, in most of the model formulation, this protection is not taken into consideration. Accordingly, in order to address this gap, we have focused on incorporation of Limited Liability in the model paradigm. We begin by considering four models, one for maximizing expected return and the other with minimization of risk (with a threshold of expected return), both for the scenarios of including and excluding Limited Liability. Our theoretical results show that the solutions of the models with Limited Liability produce better results than the others, in terms of both maximizing expected return and minimizing risk. More specifically, the portfolios that included Limited Liability are less risky as compared to the portfolios that did not include Limited Liability. An illustrative example is presented to support the theoretical results obtained.
Chemosensors for Selective Detection of Some Metal Ions, Cysteine and ATP
(2025) Mondal, Anisha
This Thesis contains five chapters. Chapter 1 is about Introduction, Materials and Methods. In this chapter introduction about chemosensors and various sensing mechanisms are explained. Some recent literature reports based on metal ion, biothiols and phosphate sensing have been discussed. Along with this, materials, methods and instrumentation related to this thesis are described in detail. In Chapter 2, a chemosensor 3-hydroxy-N'-(11H-indeno[1,2-b]quinoxalin-11-ylidene)-2-naphthohydrazide (LH) was synthesized for selective colorimetric recognition of Cu2+ ion in MeOH/HEPES buffer system (1:1, v/v, pH = 7.4). Upon adding Cu2+ ion to the probe solution, a characteristic chromogenic change from colorless to yellow was observed. The in situ generated [Cu(L)Cl(H2O)2] (complex 1) was found to exhibit a discoloration, upon gradual addition of cysteine as well as ATP having 1:2 and 1:1 stoichiometry respectively. The binding ability of LH with BSA and HSA was examined by spectral and in silico docking analysis. Chapter 3 deals with the synthesis and characterization of a probe N-(naphthalen-1-yl)-2-(pyren-1-ylmethylene)hydrazine-1-carbothioamide (L1) and exhibited a significant aggregation induced emission (AIE) property in 7:3 water-EtOH mixture. The nano-structure aggregates formation exhibited a yellowish-green fluorescence upon excitation with 380 nm light. A colorimetric and a fluorescence turn-off response was observed with the gradual addition of Pd2+ ion in a colorless EtOH/aqueous HEPES buffer (3:7, v/v) solution of L1. The recognition of Pd2+ in real water and pharmaceutical drug samples also performed. In Chapter 4, a quinoline-linked benzimidazole scaffold AIE active probe 6-(quinolin-2-yl)-5,6-dihydrobenzo[4,5]imidazo[1,2-c]quinazoline (L2H) is utilized as a fluorescent turn-on sensor for the selective detection of Al3+ ion and cysteine in surfactant medium. Cyclic bidentate probe (L2H) upon binding with Al3⁺, converted to tridentate L2′, having an open structure and cysteine converted L2H to a fluorescent dimer (L2–L2). Various practical applications such as food and real water samples were also performed for rapid on-site detection of both analytes. In Chapter 5, the probe (L3H) having quinazolinone and 4-diethylaminophenyl moieties has exhibited selective recognition of As3+ ion in aqueous HEPES medium. The rapid on-site detection of As3⁺ ion was achieved using a smartphone-based portable sensing device.
Corrosion Inhibition of Mild Steel in Corrosive Mediums Using Bio-extracts and Epoxy Coating
(2025) Kumar, Anil
Recently, metal corrosion has become an emerging concern at both local and industrial scales, which hampers their conventional production unit. Corrosion is the destruction or deterioration of materials because of chemical and electrochemical reactions with their environment. It causes significant financial losses as well as harmful effects on the environment. To reduce these losses, several corrosion-controlling strategies have been employed, including material selection, cathodic protection, corrosion inhibitors, and anticorrosive coatings. Among them, green corrosion inhibitors and epoxy-based coatings are frequently used for metal protection due to their excellent effectiveness, simplicity, and cost-efficiency. In this work, we have exclusively prepared novel green corrosion inhibitors and a ternary RGO-ZnO-PANI nanocomposite as a nanofiller for epoxy coatings to protect the mild steel (MS) in 1 M HCl and 3.5% NaCl solutions, respectively. Plant extracts were prepared from different parts of Sechium edule (chayote), Praecitrullus fistulosus (tinda), Phaseolus lunatus, and Duranta erecta and characterized by liquid chromatography-mass spectrometry (LC-MS) and Fourier-transform infrared spectroscopy (FTIR) analysis. The findings of weight loss and electrochemical experiments showed that all inhibitors (extracts) viz. CE, CEPH3, TPE, TFE, PLPE, PLSE, DEFE, and DELE demonstrated strong corrosion-inhibiting behavior. Among these inhibitors, DELE showed the highest inhibition efficiency of 91.82% and superior thermal stability. Furthermore, electrochemical analysis, surface characterizations, and salt spray tests demonstrated that the epoxy coating containing RGO-ZnO-PANI nanocomposite exhibited the highest anti-corrosion performance in 3.5 wt% NaCl solution as compared to EP, EP/RGO, and EP/RGO-ZnO coatings.
Aspects of Inflationary Magnetogenesis
(2025) Pal, Sourav
This thesis investigates how inflation can generate primordial large-scale magnetic fields and imprint quantum signatures on them and on gravitational waves. It develops: (i) an EFT framework that breaks conformal invariance while avoiding strong coupling and backreaction, with reheating-driven amplification; (ii) an anisotropic (Bianchi I) mechanism yielding viable present-day fields; and (iii) quantum-information tools using squeezed states and Stokes operators to test the quantum origin of these primordial fields.
Statistical Analysis of Load-sharing Systems
(2025) Biswas, Shilpi
Many real-life systems are made up of several components that work together in different ways. When one component fails, the remaining components usually have to carry an extra load, which changes their lifetime behavior. Such systems are known as load-sharing systems. Analyzing these systems is difficult because of the complex dependence between components and the change in their failure rates after one fails. This thesis deals with three problems related to the analysis of load-sharing systems. Chapter 1 introduces the basic definitions, background, and motivation of the study. It also describes three datasets and presents a detailed review of the related literature. In Chapter 2, a Bayesian estimation framework is developed for the Generalized Freund Bivariate (GFB) distribution to study the reliability of a two-component load-sharing system. Independent gamma priors are used, and Markov Chain Monte Carlo (MCMC) methods are applied for posterior analysis. Simulation studies and the analysis of two real datasets - a two-motor system and a nuclear power plant show that the proposed method performs well. Chapter 3 introduces a doubly flexible GFB–GG model, where the GFB distribution is used as the baseline and the generalized gamma (GG) family represents the shared frailty between components. This model provides a flexible way to analyze two-component load sharing data and shows better fitting performance than existing models. Important reliability measures such as reliability at mission time (RMT), mean time to failure (MTTF), and mean residual time (MRT) are also estimated. The effectiveness of the model is demonstrated using simulation studies and a real dataset. In Chapter 4, a flexible and data-driven model is proposed by approximating the cumulative hazard functions of component lifetimes using piecewise linear functions. This model does not depend on restrictive parametric assumptions. Estimation procedures for model parameters and reliability measures are discussed in detail. The performance of the model is evaluated through simulation and analyses of two real datasets - the two-motor system and a three-player basketball data. Finally, Chapter 5 concludes the thesis and highlights some possible directions for future research.