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Biomass- or Biowaste-Derived Carbon Nanoparticles as Promising Materials for Electrochemical Sensing Applications
Modern human lifestyle incorporates the use of sensors to a great extent. Electrochemical sensors are the oldest and most commonly studied type of sensor with a wide commercial usage and numerous possibilities. Porous carbons are an important class of electrode materials and have a number of benefits compared to other materials in terms of sensor fabrications. Biomass pyrolysis and hydrothermal carbonization are important techniques to synthesize cost-effective, cheap, and more environmentally friendly porous carbon nanomaterials with higher electrocatalytic efficiency, selectivity, and sensitivity and better detection limits. The surface area of hierarchical porous architecture along with the graphitic nature of bio-derived carbon materials greatly affects the performance of electrochemical sensors. Numerous techniques are performed to improve the surface properties such as activation, doping, etc., in order to enhance the electrocatalytic behavior of working electrodes. The carbon materials discussed here are promising candidates as an effective alternative to many commercial electrochemical sensors. 2022 WILEY-VCH GmbH, Boschstra 12, 69469 Weinheim, Germany. All rights reserved -
Label free electrochemical detection of stress hormone cortisol using sulphur doped graphitic carbon nitride on carbon fiber paper electrode
Sulphur doped graphitic carbon nitride (SGCN) was effectively prepared and comprehensively described. A straightforward synthetic process based on thermal condensation was reported for the synthesis of SGCN using thiourea as a precursor. Cyclic voltammetry (CV) and differential pulse voltammetry were used to evaluate the electrochemical performance of cortisol. SGCN sheets were used to boost the electro-catalytic activity, exhibiting very exceptional electrochemical behaviour towards cortisol. As a result, we obtained a broad linear response range of 0.1-100 ?M, as well as a comparatively low detection limit (15.8 10?8 M). Furthermore, the fabricated SGCN/CFP electrode shows excellent selectivity in the presence of a large number of possible interfering species. SGCN comprises (C with N and S) heteroatoms, which most likely would have led to a better current response towards cortisol detection. Furthermore, the structural defects that generate additional active sites on the surface of SGCN may enhance the quick electron transfer that occurs during the oxidation of cortisol. 2022 The Royal Society of Chemistry. -
Nanomaterial- Based Electrochemical Sensors for Vitamins and Hormones
Women and adolescent girls around the globe have fallen prey to, or rather have become vulnerable to, infections and poor health conditions due to the deficiencies caused by their deprivation of vitamins and proteins along with hormonal imbalance resulting in a snowballing effect causing declining well-being among women. The methods currently available in assessing vital hormones and vitamins are time-consuming and expensive, thereby making them inaccessible to economically weaker sections of society. The work carried out so far in determining and quantifying these biomolecules has mostly employed immunosensing techniques on screen-printed electrodes. Glassy carbon electrodes or carbon paste electrodes modified with metal nanoparticles, graphene, and various polymerized films are also being used for the sensing of these biomolecules. In this chapter, the authors navigate a path through, and give a concise outlook on, various nanomaterial-based electrodes and their comparative efficiency for electrochemical sensing of vitamins and hormones. 2023 selection and editorial matter, Anitha Varghese and Gurumurthy Hegde; individual chapters, the contributors. -
Multimedia Enhanced Teaching and Learning with Special Reference to Developing Cognitive Skills
Indian Streams Research Journal, Vol-3 (7), pp. 25-28. ISSN-2230-7850 -
Developing Critical Thinking Skills Among Secondary School Students: Need of the Hour
Golden Research Thoughts, Vol-3 (2), pp. 1-3. ISSN-2231-5063 -
Job Involvement of Degree College Teachers in Relation to Their Work Ethics
Golden Research Thoughts, Vol-1 (9), pp. 1-4. -
DeepBBBP: High Accuracy Blood-brain-barrier Permeability Prediction with a Mixed Deep Learning Model
Blood-brain-barrier permeability (BBBP) is an important property that is used to establish the drug-likeness of a molecule, as it establishes whether the molecule can cross the BBB when desired. It also eliminates those molecules which are not supposed to cross the barrier, as doing so would lead to toxicity. BBBP can be measured in vivo, in vitro or in silico. With the advent and subsequent rise of in silico methods for virtual drug screening, quite a bit of work has been done to predict this feature using statistical machine learning (ML) and deep learning (DL) based methods. In this work a mixed DL-based model, consisting of a Multi-layer Perceptron (MLP) and Convolutional Neural Network layers, has been paired with Mol2vec. Mol2vec is a convenient and unsupervised machine learning technique which produces high-dimensional vector representations of molecules and its molecular substructures. These succinct vector representations are utilized as inputs to the mixed DL model that is used for BBBP predictions. Several well-known benchmarks incorporating BBBP data have been used for supervised training and prediction by our mixed DL model which demonstrates superior results when compared to existing ML and DL techniques used for predicting BBBP. 2022 Wiley-VCH GmbH. -
Solvent polarity, structural and electronic properties with different solvents and biological studies of 3,3,5-triphenylfuran-2(3H)-one- cancers of the blood cells
The current work comprises synthesis, characterization and computational evaluation on 3,3,5-triphenylfuran-2(3H)-one with density functional theory (DFT) as the underlying principle. The theoretical optimized structure and corresponding geometrical parameters were obtained. Multiwfn 3. 8 was employed to conduct topological investigations such as R D G, E L F, L O L, and charge transfer analyses, which are used to identify the excited states, non-covalent interactions and important bonding regions in the molecule. Effect of solvents on the variation in molecular properties were studied with different polar solvents, with the IEFPCM model, as furanones interact with more polar solvents. The solvation studies were shown to impact on F M O, UV, M E P, and NLO analysis and thus between gas and solvent phases, a variation is observed in the properties under study. N B O studies were analysed to identify the natural bond orbitals within the molecule that contribute the maximum to the stabilization energy of the title compound. Pharmacological evaluation using readily available online tools that include SwissADME, Pre-ADMET, GUSAR, and ADMETLab 2.0 to determine the medicinal chemistry properties of the molecule was done. Furthermore, molecular docking onto chosen anticancer protein targets is performed utilising the softwares AutoDock Suite. PyMOL,and Discovery Studio Visualizer, is used to determine the best docked conformations that suggest potential capability of the compound to inhibit these proteins and protect the body from cancerous growths. 2022 Elsevier B.V. -
The odd one is Out: Voices from virtual classrooms
This article is a response to the online classrooms initiated from April 2020 onwards in schools across the country after the declaration of the lockdown. As classes went live in some parts of the country and several schools prepped towards the new medium, voices and experiences emerged from the field to throw light on the odds. The article collects the voices of students, educators and parents largely from the cities of Delhi and Bengaluru. The narratives are to be seen against the background of the critique of auto-modernism and emergent technology-intensive social institutions in the wake of COVID-19. This perspective pieces together the issues of infrastructure inadequacy in technology and the exclusiveness of pedagogy, and charts the inability of the marginalised sections in exercising the fundamental right to education. This article also highlights that internet classrooms are temporary make-shift arrangements. 2021 Economic and Political Weekly. All rights reserved. -
Framework for a smart E-Procurement system for ship building
The research aims to improve the shipbuilding process by reducing the time required for building a vessel through adoption of lean in the procurement management process. The research identifies the AS-IS process for procurement, uses Value Stream Mapping to identify different actions, identifies the root causes for administrative lead time with the help of fish bone diagram and proposes a framework for e-procurement system. It was found that lack of proper communication and visibility between the processes can increase the lead time for purchase order creation for different materials. The use of a smart e-procurement system can improve the visibility of the process across various departments and with the suppliers. This can improve the efficiency of the shipbuilding process, reducing the time required for manufacturing a vessel. 2024 by IGI Global. All rights reserved. -
Factors influencing student mentoring: Insights from higher education institutions
Mentoring has a close relationship to the word journey, symbolic of a goal-oriented process. Goal 4 of the Sustainable Development Goals (SDGs) stress on quality education and mentoring in educational institutions is a vehicle in this direction. Higher education is a crucial phase when students seek coaching and guidance for professional development. Higher Education Institutions (HEI) focusing on quality education assign mentors for students' academic and professional enhancement. The present study involving 92 participants describes the mentoring process followed in two social science courses of two different HEI by following a mixed-method and employing descriptive statistics and grounded theory. The emergent themes include continued communication channels between mentor and mentee, goals, duration, frequency, conflict mitigation, age and inclusion. These are structured as a model which is akin to the Rhodes Model of Youth Mentoring but more comprehensive and suited to the Indian context. 2021 SCMS Group of Educational Institutions. All rights reserved. -
Does ESG Integration Enhance Financial Performance in Emerging Economies? A Systematic Review of Brics
A growing wave of environmental and social problems is driving the world's focus on sustainability, and the UN's creation of the Sustainable Development Goals (SDGs) and ESG-focused investments are giving this movement a strong push. Today, investors consider ethical and moral principles coupled with monetary factors. ESG, which stands for Environmental, Social, and Governance, is a set of factors used to judge how well a company runs. These factors look at how the company protects the environment, treats its workers and society, and manages itself fairly and effectively. The present study is a systematic literature review of ESG and its influence on the firm financial performance of BRICS nations. The majority of the existing literature places focus on ESG in the developed world and this study aims to bridge this divide by focusing on Emerging economiesBRICS. The majority of the studies reveal a positive association between ESG and firm financial performance. The findings reveal the primary financial variables that affect ESG performance in BRICS countries such as firm size, debt ratios, weighted average cost of capital, return on equity (ROE), return on capital (ROC), Returns on Sales (ROS), Return on Assets (ROA), transparency levels, and financial leverage. Various theories such as Long-term gains, Institutional theory, Stakeholder theory, and Legitimacy Theory have laid the foundation for the research in the area. The review highlights the need for uniform ESG frameworks and enhanced disclosures to foster responsible investment practices in emerging economies like BRICS nations, providing valuable insights for companies, investors, and regulatory bodies. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
Is ESG the Key to Stimulate Financial Performance? An Empirical Investigation
Environmental, Social, and Governance (ESG) principle is a critical framework for businesses and non-business entities. Recently, investors increasingly concentrate on the ethical impact of their investments in addition to financial rewards. The present study outlines links between a companys ESG practices and its financial performance. By means of performance comparison between the Nifty 100 ESG and Nifty 100 Indices within the Indian context, it issuggested that investing in ESG-adopting companies can lead to better financial performance. The study uses statistical analysis to compare the performance of both indices between 2018 and 2022. The analysis includes financial ratios, such as P/E ratio, ROA, ROE, and ROCE. The findings reveal a relatively modest connection between ESG and P/E ratio. The stronger negative correlations between ESG and key financial metrics (ROA, ROE, and ROCE), signifies a more robust trade-off between ESG focus and financial performance. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
Electro fabrication of molecularly imprinted sensor based on Pd nanoparticles decorated poly-(3 thiophene acetic acid) for progesterone detection /
Electrochimica Acta, Vol.408, ISSN No: 0013-4686.
In recent years, scientific community has witnessed substantial interest in the design and engineering of electrodes as sensing platforms towards sensitive and selective detection of hormones. An electrochemical strategy for the detection of progesterone was proposed by generating a composite film comprising of palladium nanoparticles with 3-thiophene acetic acid (3-TAA) coupled with molecular imprinting technology. Progesterone molecule was employed as the template while generating molecular imprints by electropolymerization on the surface of the Carbon Fibre Paper (CFP) electrode. Electrochemical impedance spectroscopy (EIS) and cyclic voltammetry were used to analyse the various modified working electrodes (CV). -
Label free electrochemical detection of stress hormone cortisol using sulphur doped graphitic carbon nitride on carbon fiber paper electrode /
New Journal of Chemistry, Vol.46, Issue 41, pp.19975-19983, ISSN No: 1144-0546 (Print) 1369-9261 (Online).
Sulphur doped graphitic carbon nitride (SGCN) was effectively prepared and comprehensively described. A straightforward synthetic process based on thermal condensation was reported for the synthesis of SGCN using thiourea as a precursor. Cyclic voltammetry (CV) and differential pulse voltammetry were used to evaluate the electrochemical performance of cortisol. SGCN sheets were used to boost the electro-catalytic activity, exhibiting very exceptional electrochemical behaviour towards cortisol. As a result, we obtained a broad linear response range of 0.1–100 μM, as well as a comparatively low detection limit (15.8 × 10−8 M). Furthermore, the fabricated SGCN/CFP electrode shows excellent selectivity in the presence of a large number of possible interfering species. -
Operational plan on teaching-learning at departmental level /
Journal Of Education & Social Policy, Vol.1, Issue 2, pp.77-79, ISSN No: 2375-0790 (Online) 2375-0782 (Print). -
Pricing of liquidity risk in the indian stock market
Empirical literature from developed stock markets identifies liquidity risk to have impacts on the price of a stock. Given this, using one-minute trade and quote data of fifty stocks constituting the NIFTY 50 Index, this study examines the pricing of liquidity risk in the Indian stock market. The study uses thirteen liquidity measures identified from literature that cover the cost, quantity, time and multidimensional aspects of liquidity. The innovations in the liquidity measures are considered as the proxy for liquidity risk. Employing Generalized Methods of Moments estimation, the study proves that Indian investors expect to have a premium for holding securities that are illiquid when the whole market is illiquid. It proves liquidity risk as a priced factor and thus validates the liquidity-adjusted capital asset pricing model in the Indian stock market. It cautions the investors that the liquidity shocks can have significant inferences on portfolio diversification strategies to be adopted. 2020 GEA College – Faculty of Entrepreneurship. All rights reserved. -
Size effect in market-wide liquidity commonality: Evidence from the indian stock market
Liquidity commonality and the co-movements in trading costs related to such commonality have remarkable implications in market microstructure. Analyzing and identifying such commonality will enable the investor and policy maker to discover evidence regarding the inventory risks and asymmetric information influencing individual securities' liquidity. Thus, this study aims at documenting the liquidity commonality and measuring its extent in the Indian stock market. Employing fourteen liquidity measures attributed to the cost, quantity, time, and multidimensional aspects of liquidity, it empirically proves the existence of co-movements among market-wide liquidity and the individual securities' liquidity. The study also shows the presence of a size effect in liquidity commonality in Indian stock market. It is found that the slope coefficient indicating the interface between market-wide liquidity and individual securities' liquidity generally increases with size. Copyright 2019 Namitha K. Cheriyan, Daniel Lazar. -
"Community Resilience to Climate Change: Integrating Sociological Perspectives"
This review article aims to present the possible ways in which communities can be resilient to climate change as seen from sociological viewpoints. Thus, it provides a systematic review of the current literature to underscore the centrality of social capital, community networks, and cultural practices in strengthening adaptive capacities in various contexts. Bangladesh coastal people and New York City are two cases in which social capital enhances the process of preparedness, response, and recovery during disasters. Cultural knowledge and traditional coping mechanisms also enhance community resilience by learning to live with the environment and innovate in the face of climate change. Implications for policy focus on the need to incorporate sociological findings into climate change adaptation, calling for the promotion of community-based adaptation and governance structures. Issues related to the scalability of resilience interventions and socio-economic inequalities are presented and future directions for research to enhance the methodological approaches and support vulnerable populations are proposed. Thus, this review aligns with the goals of community empowering and adaptive governance to highlight sociological perspectives in creating resilience to climate change impacts. 2025 Betasciencepress Publishing. All rights reserved. -
New discrete trigonometric distributions: estimation with application to count data
In this research, we contribute to the development of original discrete distributions for count data analysis. We elaborate four new and different discrete trigonometric distributions with two parameters based on a discretization of the so-called sin-Weibull, cos-Weibull, tan-Weibull, and type II tan-Weibull distributions. We investigate the advantages of the proposed distributions and their trigonometric nature for capturing count data. In particular, some fundamental distributional properties of the discrete sin-Weibull distribution are derived. Subsequently, we turn it into a statistical model. Parameter estimation by the maximum likelihood and proportion of zeros and ones methods are then discussed. A simulation study is carried out to evaluate some frequentist properties of the developed methodology. As the study focuses mainly on the practical aspect, the applicability of the proposed models is evaluated using real-count datasets from various fields. 2024 Informa UK Limited, trading as Taylor & Francis Group.