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60CO Gamma irradiation and annealing effects on transport properties of antimony telluride platelets grown by physical vapor deposition
Acta Metail Sinica (English Letters), Vol.28, Issue 5, pp.533-540, ISSN No: 1006-7191. -
Studies on sulfur doping and figure of merit in vapor grown Sb2Te3 platelet crystals /
Journal Of Crystal Growth, Vol.412, pp.65-71, ISSN No: 0022-0248. -
Farm bills in the parliament: impact of farmers protest and the democratisation of legislative process in India
This research article analyses the impact of the farmers agitation on the legislative process in India. The Indian farmers protest against the 2020 Indian Agriculture Reform Acts, dubbed as Kala Kanoon (black laws), not only voiced dissatisfaction with the contents of the farm bills but also confronted the undemocratic legislative practices. We provide descriptive evidence by discussing five major dimensions of the impact of the protest and the outcome i.e. the repeal of the laws. First, the protest movement and the resultant repeal helped discern a valuable public policy lesson to abandon top-down policy-making. Second, the protest questioned the bureaucratic approach to legislation that excluded the primary stakeholder group from policy-making. Third, it revealed the diminished role of the legislature and the concentration of power in the executive. Fourth, it exposed vulnerabilities in the parliamentary system when the ruling party holds a brute majority. Fifth, the protest emphasized the importance of state autonomy and legislative accountability to hold the executive accountable. We conclude with the summation of the major arguments from the discussion by highlighting the implications of the farmers movement for Indias future legislative processes. 2024 Informa UK Limited, trading as Taylor & Francis Group. -
Cross-language contributions of rapid automatized naming to reading accuracy and fluency in young adults: evidence from eight languages representing different writing systems
Rapid automatized naming (RAN) is a strong predictor of reading across languages. However, it remains unclear if the effects of RAN in first language (L1) transfer to reading in second language (L2) and if the results vary as a function of the orthographic proximity of L1L2. To fill this gap in the literature, we examined the role of RAN in reading accuracy and fluency in eight languages representing different writing systems. Seven hundred and thirty-five university students (85 Chinese-, 84 Japanese-, 100 Kannada-, 40 Oriya-, 115 English-, 115 Arabic-, 105 Portuguese-, and 91 Spanish-speaking) participated in our study. They were assessed on RAN (Digits and Objects) and reading (accuracy and fluency) in both L1 and L2 (English). Results of hierarchical regression analyses showed significant effects of L1 RAN on L2 reading accuracy in the Chinese-, Portuguese-, and Spanish-speaking groups. In addition, L2 RAN was a significant predictor of reading fluency in L1 in the same language groups. No cross-language transfer was observed in the other languages. These findings suggest first that L1 and L2 RAN capture similar processes and controlling for one does not leave unique variance for the other to explain. Second, to the extent there is cross-language transfer of RAN skills, this appears to be independent of the orthographic proximity of the languages. 2021, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. -
Effect of Transaction Costs on Portfolio Management
Zenith International Journal of Multidisciplinary Research, Vol-3 (7), pp. 115-126. ISSN-2231-5780 -
Impact of Intangibles on Bank's Performance
Finance Management, Vol-59, pp. 15274- 15283. ISSN-2229-712X -
A Study on the Bank Financing of SMEs in India
The International Journal's Research Journal of Social Science & Management, Vol-2 (7), pp. 104-108. ISSN-2251-1571 -
A Study on Financing of SMES in Bangalore
Ushus Journal of Business Management, Vol-10 (2), pp. 20-52. ISSN-0975-3311 -
Role of Factoring in Financing SMEs in India
The International Journals Research Journal of Social Science and Management, Vol. 2, No. 5, pp 165-172, ISSN No. 2251-1571 -
Effect of Mergers and Acquisitions on the Profitability of Indian Pharmaceutical Industry
The International Journals Research Journal of Social Science & Management, Vol. 2, No. 6, pp. 131-138, ISSN No. 2251-1571 -
Terahertz-based optoelectronic properties of ZnS quantum dot-polymer composites: For device applications
Terahertz (THz) technology integration with nanomaterials is receiving excellent attention for next-generation applications, including enhanced imaging and communication. The excellent optical properties in THz domain can lead to preparation of low-cost CMOS camera which can convert THz radiation into optical signal in very efficient manner. In the present study, we have studied the properties of Zinc Sulfide quantum dots (ZnS QDs) embedded with Polyvinyl Alcohol (PVA) composites films using THz Signal at room temperature. The optical characterizations such as refractive index, absorption coefficients and dielectric constants of these samples were measured in the 0.12.0 THz range. Additionally, optical impedance, surface roughness, and reflection coefficient in TE and TM mode between 0.1 and 2.0 THz range were determined for these samples based on surface roughness-based reflection and scattering properties. The surface roughness factor was used to measure the optical impedance of the ZnS QDs based polymer films. The measured values of the absorption coefficient at 266 nm are compared with THz radiation, and the refractive indices of these samples range from 1.75 to 2.0. Finally, these samples were subjected to UV light excitation (?exe = 266 nm) of 0.15 ns duration and 400 nm for the fluorescence and corresponding life time measurements. We observed two numbers of fluorescence lines in nanosecond based excited domain whereas 400 nm excitation-based fluorescence life time lies between 13.811.39 ns range along with shift in fluorescence lines between 538.7 to 560.7 nm, respectively. 2024 -
Porous 3D Printed System for Synergistic Tandem Water Cleaning-Energy Generation
Non-availability of fresh water is the dire consequence of rapid industrialization and the unregulated discharge of industrial effluents. In an attempt to recover water from highly contaminated industrial wastewater, researchers have relied on developing various materials that can treat polluted water efficiently and sustainably. 3D printed materials have proved to be an emerging technology in water treatment. 2Dmaterials have recently enhanced filter technology due to their morphological properties. This study focuses on removing salinity and organic dyes utilizing 2DGadolinium telluride (Gd2Te3) coated 3D printed (2D@3DP) complex architecture. The 2D@3DP structure can potentially increase the contact time of adsorbed saline water due to its complex architecture and can remove ?52% salinity from brackish water. Furthermore, methylene blue (MB) and Methyl Orange (MO) removal efficiencies are ?69% and 45%, respectively. Spectroscopic and microscopic results confirm the adsorption of negatively charged chlorine ions on a positively charged 2D surface. The removal of bleaching powder is also tested for real-life applications, and ?20% of the bleaching powder is adsorbed. Moreover, the 2D@3DP device exhibits an electrical signal due to impinging sodium chloride droplets from different heights, making it a sustainable solution to address water pollution. 2023 Wiley-VCH GmbH. -
Biogenesis and Green Synthesis of Metal Nanoparticles and Their Pharmacological Applications
Nanomaterial innovation is the primary catalyst of advancement in nanotechnology. Although there are many known chemical processes for creating nanoparticles that use harmful substances, it is now more important than ever to use processes that are safer, greener, and more environmentally friendly. The goal of research in this field is to use diverse life forms as "nanoparticle factories." Phytochemicals can convert salt into the appropriate nanoparticles thanks to their regular biosynthetic routes. In recent years, green chemistry methods for the synthesis of metallic nanoparticles have emerged as a fresh and exciting area of study. Metal nanoparticles, including gold (Au), silver (Ag), iron (Fe), and cadmium (Cd) along with certain oxides, can be synthesized using a variety of chemical and physical techniques as well as biological techniques carried out using plants. It has been discovered that methods involving plant-mediated synthesis are a more efficient and cost-effective way to create these metal nanoparticles. The plant-mediated nanoparticles are used as potential pharmaceutical agents for many diseases, including hepatitis, cancer, malaria, and HIV. Due to the higher efficacy and fewer side effects of nanodrugs compared to other commercial cancer drugs, the synthesis of nanoparticles targeting biological pathways has gained tremendous popularity. This review paper aims to cover the different green methods for the biogenesis of these nanoparticles, the different compounds and salts used, and the metals obtained. Ultimately, the significance and prospects of these metal nanoparticles especially in the fields of medicine, pharmacology, drug designing, and drug delivery engineering will also be commented on. The Author(s). -
FRA-CDS-VDAX based credit crash model: A German conundrum
Often credit crash opens up the glaring research warts in finding credit pits. Robust German credit and interest rate derivative market have been under scrutiny to develop credit crash predictor by effective utilisation of a cobbled methodology encompassing various research tools (such as econometric, mathematical and machine-learning etc.) and the logical trio, namely forward rate agreement (FRA), credit default swap (CDS) and volatility index constructed on CBOE methodology (VDAX). Though setting up VDAX predictor is the first objective, yet the cross-dependence of various derivatives, threshold finding for sudden change (steep) in VDAX and linking the results with real life events remain the secondary objectives. The results point out a clear threshold for detecting credit pit and a prominent behavioural trace as well. Serials Publications Pvt. Ltd. -
How well the log periodic power law works in an emerging stock market?
A growing body of research work on Log Periodic Power Law (LPPL) tries to predict market bubbles and crashes. Mostly, the fitment parameters remain con?ned within certain specific ranges. This paper examines these claims and the robustness of the reformulated LPPL model of Filimonov & Sornette (2013) for capturing large falls in the S&P BSE Sensex, an Indian heavyweight index over the period 20002019. Thirty-five mid to large-sized crashes are identified during this period, forming a clear LPPL signature. This confirms the possibility to predict the embedded risk of future uncertain events in the Indian stock market with the LPPL approach. 2020 Informa UK Limited, trading as Taylor & Francis Group. -
Identifying explosive behavioral trace in the CNX nifty index: A quantum finance approach
The fnancial markets are found to be fnite Hilbert space, inside which the stocks are displaying their wave-particle duality. Te Reynolds number, an age old fluid mechanics theory, has been redefned in investment fnance domain to identify possible explosive moments in the stock exchange. CNX Nify Index, a known index on the National Stock Exchange of India Ltd., has been put to the test under this situation. Te Reynolds number (its fnancial version) has been predicted, as well as connected with plausible behavioral rationale. While predicting, both econometric and machinelearning approaches have been put into use. Te primary objective of this paper is to set up an efcient econophysics' proxy for stock exchange explosion. Te secondary objective of the paper is to predict the Reynolds number for the future. Last but not least, this paper aims to trace back the behavioral links as well. 2018 Bikramaditya Ghosh, Emira Kozarevic. -
Power law in tails of bourse volatility evidence from India
Inverse cubic law has been an established Econophysics law. However, it has been only carried out on the distribution tails of the log returns of different asset classes (stocks, commodities, etc.). Financial Reynolds number, an Econophysics proxy for bourse volatility has been tested here with Hill estimator to find similar outcome. The Tail exponent or ? ? 3, is found to be well outside the Levy regime (0 < ? < 2). This confirms that asymptotic decay pattern for the cumulative distribution in fat tails following inverse cubic law. Hence, volatility like stock returns also follow inverse cubic law, thus stay way outside the Levy regime. This piece of work finds the volatility proxy (econophysical) to be following asymptotic decay with tail exponent or ? ? 3, or, in simple terms, inverse cubic law. Risk (volatility proxy) and return (log returns) being two inseparable components of quantitative finance have been found to follow the similar law as well. Hence, inverse cubic law truly becomes universal in quantitative finance. Bikramaditya Ghosh, M. C. Krishna, 2019. -
Predictability and herding of bourse volatility: An econophysics analogue
Financial Reynolds number works as a proxy for volatility in stock markets. This piece of work helps to identify the predictability and herd behavior embedded in the financial Reynolds number (time series) series for both CNX Nifty Regular and CNX Nifty High Frequency Trading domains. Hurst exponent and fractal dimension have been used to carry out this work. Results confirm conclusive evidence of predictability and herd behavior for both the indices. However, it has been observed that CNX Nifty High Frequency Trading domain (represented by its corresponding financial Reynolds number) is more predictable and has traces of significant herd behavior. The pattern of the predictability has been found to follow a quadratic equation. Bikramaditya Ghosh, Krishna M.C., Shrikanth Rao, Emira Kozarevi?, Rahul Kumar Pandey, 2018. -
Fear estimation-evidence from BRICS and UK
The paper aims to build a composite Fear Index for the BRICS countries and UK by adding new dimensions to the initial structure, such as overbought/oversold conditions and commodity impacts. The main purpose is to identify the degree in which fear really percolates down to all the market participants, respectively if this generates a certain asset transfer to Gold. The results point out the GMM model as the best fit for explaining the link between the Fear Index and the behaviour of market participants. It also confirms the transfer of assets to a safer asset class during the phases of high volatility on the market. Serials Publications Pvt. Ltd. -
Investigation of the fractal footprint in selected EURIBOR panel banks
EURIBOR emerged as a conventional proxy for a risk-free rate for a reasonably long period of time after the creation of the Eurozone. However, the joy was short-lived, as the global credit crisis shook the markets in mid-2008. Significant counterparty risk embedded in a derivative transaction cannot be left out. EURIBOR reflects the credit spread on borrowing. Hence, risk and uncertainty are inextricably linked here. This study investigates five banks out of 19 panel banks that manage EURIBOR in various Eurozone countries. These banks, HSBC, ING, Deutsche Bank, the National Bank of Greece and Barclays, are tested from January 2009 to December 2017 on a daily basis. Bank specific EURIBOR can be predicted in all five cases with different degrees. The trace of a profound herd is observed in the case of the National Bank of Greece, others were relatively mild in nature. The customer base and their risk grade were recognized as the main factor. Their information asymmetry and derived information entropy suggest embedded chaos and uncertainty. Bikramaditya Ghosh, Corlise Le Roux, Anjali Verma, 2020.