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Degradation of azodyes in wastewater by using hydrodynamic cavitation technique
The organic waste water discharged from various industries consists of large amounts of dyes & cyanides & other toxic carcinogenic pollutants which are harmful to human health & ecosystem. Release of carcinogenic dyes is hazardous & has a detrimental effect on the well being of an individual. The present work is focussed at finding the viability of hydrodynamic cavitations process in the degradation of dyes. To study the degradation, influence of various parameters on degradation rate has been studied. BEIESP. -
Degree of Children Influence on Parents Buying Decision Process
European Journal of Business Management Vol. 4, No. 14, pp 49-57, ISSN No. 2222-2839 -
Delay Minimization Technique to improve the efficiency of Parameter Optimized Hysteretic Current Controlled Parallel Hybrid ETPA in Mobile Communication
This paper proposes a delay minimization technique to improve the efficiency of a parameter-optimized hysteretic current-controlled parallel hybrid envelope tracking power amplifier (etpa). In a hysteretic current-controlled hybrid topology, a linear amplifier operates parallel with a hysteretic current-controlled switching converter. Block level simulation of etpa is performed using the simulink tool. The traditional parameter optimization technique is first implemented, and its limitation is analysed. The proposed delay minimization technique helps to overcome the limitation of the traditional approach and has been proven to be valid for any input frequency. The proposed technique offers an efficiency improvement of 14.9% compared to the traditional technique for an input frequency of 20mhz and provides an average efficiency improvement of 6.26% for an input frequency range of 2mhz to 60mhz. 2024 IEEE. -
Delayed in sensorimotor reflex ontogeny, slow physical growth, and impairments in behaviour as well as dopaminergic neuronal death in mice offspring following prenatally rotenone administration
The environment is varying day by day with the introduction of chemicals such as pesticides, most of which have not been effectively studied for their influence on a susceptible group of population involving infants and pregnant females. Rotenone is an organic pesticide used to prepare Parkinson's disease models. A lot of literature is available on the toxicity of rotenone on the adult brain, but to the best of our knowledge, effect of rotenone on prenatally exposed mice has never been investigated yet. Therefore, the recent work aims to evaluate the toxic effect of rotenone on mice, exposed prenatally. We exposed female mice to rotenone at the dose of 5mg/Kg b.w. throughout the gestational period with oral gavage. We then investigated the effects of rotenone on neonate's central nervous systems as well as on postnatal day (PD) 35 offspring. In the rotenone group, we observed slow physical growth, delays in physical milestones and sensorimotor reflex in neonates and induction of anxiety and impairment in cognitive performances of offspring at PD-35. Additionally, immunohistochemical analysis revealed a marked reduction in TH-positive neurons in substantia nigra. Histological examination of the cerebellum revealed a decrease in Purkinje neurons in the rotenone exposed group as compared to the control. The data from the study showed that prenatally exposure to rotenone affects growth, physical milestones, neuronal population and behaviour of mice when indirectly exposed to the offspring through their mother. This study could provide a great contribution to researchers to find out the molecular mechanism and participating signalling pathway behind these outcomes. 2023 International Society for Developmental Neuroscience. -
DELHI: A NOVEL by Khushwant Singh
[No abstract available] -
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Delving into the Bubble Detection of Specific NSE Sector Indices
This study meticulously examines market bubbles within specific sectors of the National Stock Exchange (NSE) over the period from January 2017 to December 2023, employing robust methodologies like RADF, SADF, and GSADF tests. The analysis, centered on 11 sectoral indices, integrates GSADF values with RADF and SADF, offering nuanced perspectives that underscore the sector-specific nature of bubbles. Notably, the study highlights bubble occurrences during the 2020 global crisis due to pandemic, emphasizing their dynamic and diverse manifestations amid the pandemic. Exclusive identification of bubbles in NSE IT, NSE Metal, and NSE Pharma enriches the strategic insights available to investors, facilitating informed decision-making and risk management. The sector-wise approach contributes to a holistic understanding of market dynamics, providing investors with valuable tools to navigate the intricacies of the financial landscape. Future research avenues may delve into regulatory impacts on sector-specific bubbles and explore the interplay between macroeconomic indicators and sectoral bubbles, offering deeper insights into market dynamics. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
Delving into the Exchange-Traded Funds (ETFs) Market: Understanding Market Efficiency
Exchange-traded funds (ETFs) are the most popular products in the financial sector today. There is extensive literature on the multifractal analysis of some stock markets, but not about the multifractal behaviour of the ETF market. This study examines the efficiency of stock index ETFs worldwide from an Efficient Market Hypothesis (EMH) perspective, using the ETFs: Ishares Msci World ETF (URTH), Ishares Russell 1000 ETF (IWB), SPDR S&P 500 ETF TRUST (SPY), Ishares Global Clean En. ETF (ICLN), Ishares USD Green Bond ETF (BGRN), from 1 January 2021 to 24 May 2024. It analyses a pre-conflict and a geopolitical conflict to uncover distinct patterns of behaviour reflecting significant changes in market conditions. Before the conflict, the Ishares MSCI World, Ishares Russell 1000, SPDR S&P 500 and Ishares USD Green Bond ETFs showed signs of anti-persistence in returns, indicating a lack of strong relationship or predictability between short-term price movements. The Ishares Global Clean Energy ETF did not reject the random walk hypothesis, suggesting that returns follow a pattern closer to random, where market prices already efficiently reflect all available information. During the conflict, there was a transition in the ETFs' behaviour patterns, as evidenced by the increases in slope values for Ishares MSCI World, Ishares Russell 1000, SPDR S&P 500, Ishares Global Clean Energy and Ishares USD Green Bond. Thus, the possible transition from anti-persistence to long-term memories in ETF returns during the conflict. For portfolio managers, these findings highlight the need to continually adapt investment strategies to manage risks better and take advantage of opportunities in a dynamic and complex investment environment. 2024, Creative Publishing House. All rights reserved. -
Demand and Supply Forecasts for Supply Chain and Retail
Demand and supply forecasts serve as the backbone of strategic decision-making in todays rapidly changing business environment, assisting organizations in optimizing inventory levels, production planning, and pricing strategies. The ability to forecast demand and supply accurately is critical for effective supply chain and retail management. This chapter provides a comprehensive overview of supply chain and retail demand and supply forecasts. It discusses various forecasting methods and techniques, as well as related concepts. In addition, the chapter emphasizes the significance of accurate forecasting in optimizing supply chain and retail operations, as well as emerging trends and future directions in demand and supply forecasting. 2024 Sachi Nandan Mohanty, Preethi Nanjundan and Tejaswini Kar. -
Demand Forecasting Methods: Using Machine Learning to Predict Future Sales
To thrive in the market today, businesses must increase the effectiveness, dependability, and accessibility of their services. Sales estimation and operative demand scheduling definitely impact the end result of the organizations, influencing their procurement process, production, delivery, supply chain, marketing communications, etc. 2024 Sachi Nandan Mohanty, Preethi Nanjundan and Tejaswini Kar. -
Demand response for residential loads using artificial bee colony algorithm to minimize energy cost
Power performance expectations are increasing, impacting designs and requiring advanced technology to improve system reliability. Demand Response (DR) is a highly flexible customer driven program in which customer voluntarily changes his energy usage patterns during the peak demand to maintain the system stability and reliability and thereby improves the performance of the gird. This paper proposes a novel algorithm for optimization of the DR schedule of the residential loads for various hours of the day using Artificial Bee Colony (ABC) algorithm. Here, the objective function is subjected to the constraints like cost constraints, time constraints and load demand. The results show that the proposed approach enhances potential in solving problems with good reliability compared with existing approaches. 2015 IEEE. -
Demineralization of sub-bituminous coal by fungal leaching: A structural characterization by X-ray and FTIR analysis
The filamentous fungi, A. niger, A. flavus and Penicillium spp were studied for their ability to demineralise the low rank Indian coals. The FTIR spectra of coals showed the presence of stretching vibrations of -OH bond, aliphatic -CH, -CH2 and - CH3 absorptions, C=C and -CH of aromatic structure and mineral groups. X-ray analyses revealed that coal consists of crystalline carbon of turbostratic structure. The average lateral sizes (La), stacking height (Lc) and the interlayer spacing (d002) of the crystallite structure were calculated which ranged from 343.64 to 1.5, 223.20 to 22.54 and 3.35 to 3.60respectively. The structure of coal was modified to a product similar to that of pure graphite after leaching with Penicillium spp. Scanning electron microscopy (SEM) analysis of coal revealed a layer like structure on the surface. -
Democratising Intelligent Farming Solutions to Develop Sustainable Agricultural Practices
In this chapter, the transformative potential of democratising intelligent farming solutions is discussed, primarily in the context of the sustainable farming. Technologies including the Internet of Things (IoT), global positioning systems (GPS), Unmanned Aerial Vehicles (UAVs), computer vision, and artificial intelligence (AI) have redefined farming activities. Such advances have allowed decision-making and optimised resource utilisation to be driven by real-time data. The democratisation of AI tools are meant to make AI-driven agriculture accessible to all. As such, this chapter discusses the interplay of bottom-up and top-down approaches, highlighting their roles in promoting the accessibility of AI tools and their benefits to farmers. The integration of such AI tools would transform contemporary agriculture into agriculture 4.0. This revolution would be characterised by real-time data, predictive analytics, and precision farming techniques. Further, the integration of technology such as wireless networks and the global navigation satellite system (GNSS) increases precision and the ability to monitor farming activities. The idea of democratising intelligent farming solutions is meant to herald agriculture 4.0, which would improve crop quality, climate resilience of crops, and the income of farmers. It would also improve broader macroeconomic aspects by promoting education and information and communication technology (ICT) skills and potentially reducing income inequality gap while promoting socio-economic well-being. 2025 selection and editorial matter, Sirisha Potluri, Suneeta Satpathy, Santi Swarup Basa, and Antonio Zuorro; individual chapters, the contributors. All rights reserved. -
Demographic characteristics influencing financial wellbeing: amultigroup analysis
Purpose: The study attempts to understand the factors impacting the financial wellbeing of IT employees in India using confirmatory factor analysis (CFA). It utilizes well-established survey instruments to assess the impact of financial literacy, financial behaviour and financial stress on financial wellbeing. The study also attempts to understand the role of demographic factors (age, gender, monthly income, job category and work experience) in determining financial wellbeing through multigroup analysis. Design/methodology/approach: Structured equation modelling (SEM) is used to study the link between the determinants. The study also attempts to understand the role of demographic factors (age, gender, monthly income, job category and work experience) in determining financial wellbeing through multigroup analysis. Data used for the analysis covers 237 employees working in the IT sector. Findings: While financial literacy and financial behaviour have a significant positive impact on financial wellbeing, financial stress has a significant negative impact. Financial behaviour and financial stress were found to have a mediating role in the relationship between financial literacy and financial wellbeing. The demographic variables significantly moderate the relationship between the factors leading to financial wellbeing. Originality/value: The results show the need for financial wellbeing programs to focus on enhancing financial knowledge and improving financial planning. Further, it suggests offering customized financial wellbeing programs based on the employee's demographic characteristics rather than following a one program, fits all approach. 2021, Emerald Publishing Limited. -
Demographic constructs and savings behavior of adult people /
Journal of Emerging Technologies And Innovative Research, Vol.6, Issue 3, pp.409-412, ISSN No: 2349-5162. -
Demographic Variables Influence on Work Engagement of Nurses and Doctors in Hospitals.
It has been foreseen that the healthcare sector in India will be at par with the IT services as well as education in terms of revenue, and would largely contribute to the countrys economy. The health-care industry is presently worth $ 7 Billion dollars (USD), and is predicted to grow at the rate of 13% every year. At this pace, work levels in hospitals have increased, and an employees contribution towards work has decreased. The psychological connection of employees towards their work has gained critical importance; as organizations find that their employees are not giving their best in these times when the demand is on its rise. Work engagement is a positive-fulfilling work-related state of mind characterized by vigor, dedication and absorption, where vigor being high energy levels and mental resilience, dedication being a state of mind where an individual is strongly involved in ones work, and absorption is characterized by engrossment and concentration towards ones work. Literature review on work engagement from the last decade has focused on the relationship of engagement with job satisfaction, employee turnover, performance, and other human resource related constructs. A sample of 372 respondents comprising of doctors and nurses form 20 hospitals (corporate, government and private/trust) of 150 beds and above. Respondents were chosen by using judgmental sampling technique. The variables under investigation were Work engagement and eight demographic characteristics of the respondents. Utrecht Work engagement scale (UWES), by Wilmar Schaufeli and Arnold Baker, (2003), and based on the objectives the eight demographics were included. Fourteen hypotheses were tested and the major findings were that the overall work engagement for doctors was significantly high, and for nurses it was found to be moderate. Significant difference on work engagement levels on doctors was found across gender, educational qualification, age of the respondents, marital status, number of children, and types of hospitals. No significant difference on work engagement levels was found across work experience for doctors. Significant difference on work engagement levels on nurses was found across educational qualification, age of the respondents, work experience, marital status, number of children, and type of hospitals for nurses. No significant difference on work engagement levels was found across gender for nurses. Implications suggested that hospitals develop a flexible training, and therapeutic program for men and women to manage stress customized to their requirement. Focus should be given on encouraging employees to continue higher education. Younger and less experienced employees should be encouraged to interact with senior staff as their sharing of ideas and thoughts would be beneficial to both older and younger employees. Hospitals should imbibe values and ethics which are based on compassion, love for mankind and development of society through good leadership which would inspire them to go that extra mile. Key words: Work engagement, Demographic influence, Doctors, Nurses. -
Demography-Based Hybrid Recommender System for Movie Recommendations
Recommender systems have been explored with different research techniques including content-based filtering and collaborative filtering. The main issue is with the cold start problem of how recommendations have to be suggested to a new user in the platform. There is a need for a system which has the ability to recommend items similar to the users demographic category by considering the collaborative interactions of similar categories of users. The proposed hybrid model solves the cold start problem using collaborative, demography, and content-based approaches. The base algorithm for the hybrid model SVDpp produced a root mean squared error (RMSE) of 0.92 on the test data. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Demystifying artificial intelligence and customer engagement: A bibliometric review using TCCM framework
Artificial intelligence (AI) has grabbed the attention of the extent of literature and customer engagement of many business organizations in the past decade, especially with the advancement of machine learning and deep learning. However, despite the great potential of AI to solve customer problems and engage customers, there are still many issues related to practical uses and lack of knowledge to create value through customer engagement. In this context, the present study aims to full fill the gap by providing a critical literature review based on 53 A* and A categories of Australian Business Deans Council (ABDC) journals (2011-2023) by highlighting the benefits, challenges, framework, and future research directions in theory, context, characteristic and methodology (TCCM) areas. These findings contribute to both theoretical and managerial perspectives for developing a future novel theory and new forms of management practices. 2024, IGI Global. All rights reserved. -
Demystifying Data Justice: Legal Response To India's Privacy And Security Standards: Challenges In Cloud Computing
Data is the new oil of this economy. Cloud Computing acts in the capacity of storing databases, in operational analytics, networking and intelligence. Indian cloud computing market is valued at 2.2 billion dollars, which is said to scale by 30 percent in 2022. It's therefore pertinent to understand Indian's data protection landscape in the light of Personal Data Protection Bill, 2018 to answer the questions of ownership, controlling, processing of data in order to reflect upon the liability, obligations, and compliances by intermediaries, dispute resolution forums, data portability and indemnification. The authors will explore by means of doctrinal method, the challenges posed on the content regulatory mechanism for the internet architecture which paves responsibility of data classification into lawful and unlawful, with the exception of section 79 of Information Technology Act. The authors will further examine the encryption standard tools exhibiting data security and the obstacles created by the 40-bit limit encryption standard as part of the DoT's telecom licensing conditions and section 84A IT Act, 2008, to provide suggestions towards pragmatic delimitation. Cloud computing being the next growth frontier of the IT industry, makes it more evident to enable cloud forensics in entrusting with investigations and establishing confidence within the end-users. Goal 16 of SDG's deal with Promote just, peaceful and inclusive societies. The Electrochemical Society -
Denial of Desire Depictions of Elderly Intimacy in Malayalam Cinema
[No abstract available]