Browse Items (16481 total)
Sort by:
-
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 -
Algorithmic Justice: Navigating the Ethical and Legal Landscape of AI-Powered Predictive Policing in Twenty-First Century
With the Fourth Industrial Revolution gaining traction, cyber-physical cognitive systems have thrived, fundamentally reshaping the fabric of the society we inhabit. Artificial intelligence (AI) is one such pioneering system, which thrived as a result of the intricate interplay between machine learning algorithms, deep learning (employs neural networks to facilitate automated learning) and vast repositories of structured, semi-structured or unstructured data called big data. AI was further revolutionized by development of techniques such as generative adversarial networks (GANs), transformers and large language models (LLMs) which initiated a new era of predictive analytics. One such prominent deployment of predictive data analytics has been witnessed in the sphere of law enforcement and crime controlling popularly termed as predictive policing (PP). PP is a convulsion of smart society and smart policing that uses data, algorithms and statistical modelling to foster safe, sustainable and better quality of life by optimizing resources and actions of law enforcement agencies (LEAs) to change the landscape of crime management in the society. AI-powered PP is one such breakthrough in advancement of this goal, but there are certain ethical and legal conundrum such as AI ethics, privacy, algorithmic bias and legal uncertainty that are barrier to the adoption of AI for PP. This research paper discusses the ethical and legal quandaries of AI-powered PP with further comparative analysis of key issues in two prominent democraciesUSA and India. Additionally, the paper also puts forth a way forward to achieve sustainable and harmonious use of AI for PP. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. -
A study on the capital structure and sources of finance of SMEs in India
Growth of the corporate sector is important in the process of economic development. Apart from big industries, Small and Medium Enterprises (SMEs from now on) also contribute to the expansion of the directly productive sector in the economy, generating tax revenue for the government, helping poverty reduction through fiscal transfers and creation of income from employment as well as ownership of firms. It is imperative for SMEs in developing countries to be able to finance their activities and grow over time if they are to play an increasing role in providing employment and income in terms of wages to households, profits, as well as dividends to investors. -
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 -
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 -
A Study on Financing of SMES in Bangalore
Ushus Journal of Business Management, Vol-10 (2), pp. 20-52. ISSN-0975-3311 -
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 -
Impact of Intangibles on Bank's Performance
Finance Management, Vol-59, pp. 15274- 15283. ISSN-2229-712X -
Effect of Transaction Costs on Portfolio Management
Zenith International Journal of Multidisciplinary Research, Vol-3 (7), pp. 115-126. ISSN-2231-5780 -
Healthcare and wearables in smart cyber-physical systems
[No abstract available] -
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. -
Spectroscopic analysis of lead borate systems
Oxide glass systems are interesting because of their bonding like bridging and non-bridging oxygens. Depending on the modifier, the B2O3 glass system can have various Boron-Oxygen network. It is found that, PbO modifies the borate network and increases the formation of penta and diborate groups. In this work, we investigated optical properties of Lead Borate glass systems (x PbO: (1-x) B2O3) with x varying from 30-85 mol % using UV-VIS Spectra and the corresponding band gap was estimated using Tauc relation and these systems behave like direct allowed band gap systems. These results show that, Eg decreases with the addition of lead content. Further the refractive index measurements also have been carried out at various wavelengths. Many correlation is found between the band gap and refractive index for different compositions. Using different theoretical models a best fit has been tried and Ravindra's relation is found to match with our experimental results. 2018 Author(s). -
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. -
Growth and physical properties of sb2 te3 and related thermoelectric materials
Research on crystal growth and characterization is inevitable to meet the requirements of the technological world, as there is a great demand for good quality samples free from flaws for application in newlinevarious fields which cannot be met by natural resources. The synthesis of newlinebulk crystals of Sb2Te3 compounds has intrigued the attention of the researchers in the present work, due to their diverse properties which provide boundless scope to develop innovative approaches towards the newlinedevelopment of devices with improved thermoelectric (TE) efficiency. The green technology of conversion of waste heat to electric current by the TE phenomena offers a noise-free alternative with low mechanical newlineand conduction losses for small scale refrigeration and power generation modules. Though, thermoelectric devices offer better reliability and durability, one of the major challenges is to develop a material system newlinewith high figure of merit (ZT) in the variable temperature ranges. From the research reports it is evident that, generally for scientific studies, conventional melt methods were used to grow bulk Sb2Te3 crystals, where nonstoichiometry, polycrystallinity and multi-phase formation raise problems. Furthermore, large fluctuations in TE properties have been exhibited by single crystals synthesized from the melt, which preclude their uses in devices. The ability to control as well as engineer various newlineproperties of Sb2Te3 depends on the choice of growth method, experimental tools and processes. Even though substantial work has been published on the studies of cleaved samples of crystals grown from the melt, the growth mechanism and TE investigations on vapor deposited platelet structures of Sb2Te3-xSx and Sb2-xInxTe3 have not been investigated so far. With the prime focus on vapor deposition as an alternative to melt methods to produce defect free, good quality stoichiometric and mechanically stable crystals with improved ZT, the research was aimed at growth and characterization of Sb2Te3 and related newlinethermoelectric materials. -
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. -
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. -
Adapting Employee Engagement Strategies Amid Crisis: Insights from the COVID-19 Pandemic
Crises are unpredictable events that have the potential to strike at any moment, causing significant disruptions to work, daily routines, and the normal course of life. The COVID-19 Pandemic served as a facilitator for transformative changes in the way we work, shifting to an era of remote and flexible work arrangements across industries. This crisis underlined the importance of employee engagement and organizational culture-building in navigating unforeseen situations. As organizations prepare for the future, it becomes crucial to anticipate and adapt to potential crises that may arise. The effect of the pandemic varied from industry to industry. When the technology industry worked towards creating a virtual workspace, the production industry strived to continue production without disruption. However, irrespective of the industry, HR teams across the board were dedicated to identifying and addressing the challenges posed by the crisis. They have worked tirelessly to ensure employee engagement remains a priority. This qualitative study explores the challenges encountered by HR teams during the pandemic and explores the strategies and policies they adopted to foster employee engagement. The data was collected through an in-depth interview with 39 HR Practitioners from different industries. The significant challenges included the need to cultivate a sense of community, navigate muddled up HR processes, sustain productivity amid disruptions, and prioritize employee wellness. To provide a comprehensive analysis, this study examined industry-specific approaches, employing within-case analysis to understand key strategies in communication, rewards and recognition, employee benefits, wellness initiatives, and fostering an enjoyable virtual workplace. This study offers a forward-looking perspective and serves as a guide for organizations aiming to thrive in times of uncertainty, ensuring that employee engagement remains a strategic priority regardless of the crisis at hand. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. -
Leveraging Hybrid Dual-Level Contextual Attention and Spiking Neural Networks for Effective Hepatic Malignancy Diagnosis
s Abstract Liver cancer remains the leading cause of cancer-related mortality, prompt-ing advanced diagnostic techniques for early detection and accurate classification in the health sector worldwide. Multifaceted deep learning methods have shown significant potential in medical imaging, but challenges exist in capturing intricate contextual information. In our research, we propose a novel hybrid framework that integrates Dual-Level Contextual Attention (DLCA) with Spiking Neural Networks (SNNs) to enhance the diagnosis of liver cancer. The proposed framework uses a DLCA mechanism that effectively extracts both local and global contextual features within the medical images and aids in precise lesion differentiation. The SNNs module supports computational efficiency and robust pattern recognition, enabling precise identification of subtle cancerous patterns by reducing redundant activations while preserving critical diagnostic information. Experimental evaluations on publically available datasets demonstrate the effectiveness of our work, showcasing its reliability in clinical applications. Moreover, the model offers a direction for future AI-assisted diagnostic tools in medical imaging and oncology. Grenze Scientific Society, 2025. -
A search for a grounding source in interpersonal relationships through metaxology in the select novels of bernard malmud
This research examines interpersonal relationships in the select novels of newlineBernard Malamud from a metaxological perspective. By examining the formation of newlinethe community through individuals where there are agapeic service and transformation newlineof individuals, it attempts to bring out the relevance of metaxological relationships that newlinegive importance to dialogue, ethical relationships and love. It is essential to understand the space between interpersonal relationships to lead a meaningful life in the contemporary world. It explores to ascertain whether human beings attain fulfilment in the community through transformation. This thesis addresses the issues that are relevant to the novelist in the context of Jewish identity and assumes that this study is essential since the study informs us about the interpersonal relationships which are very relevant newlinein today s context. This study claims that the interpersonal relationships portrayed in newlinethe novels of Malamud are metaxological because it affirms the self and transcends newlinetowards the other and forms a community where there is agapeic love and service. This newlineresearch claims that interpersonal relationships attain its fulfilment through newlinemetaxological relationships. This mode of interpersonal relationships is relevant since newlineit enables us to understand many existing problems between people, culture and nations, newlineand to find a solution to it. The question of how to maintain a proper relationship with newlineother human beings by giving equal importance to the individuals who are involved in the relationship is prominent today. The analysis of the novels based on metaxology newlinechanges our existing understanding of the interpersonal relationships and gives a new newlinedimension to it.