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Time-periodic heating in boussinesq-stokes suspension with three diffusing components
The effect of time-periodic heating in Boussinesq-Stokes suspension with three diffusing components has been carried out for the linear case. The correction Rayleigh number is obtained by applying the perturbation method to effectually control the convective flow by varying amplitude and frequency of modulation, and the eigenvalues are obtained by the Venezian approach. The time-periodic heating has been carried out for three cases: symmetric, asymmetric, and modulating only the lower boundary. It is found that the system is stable for smaller values whereas unstable for moderate values of frequency of modulation. 2021 by the authors. -
Study of triple diffusive convection in non newtonian liquids
This thesis presents the study of triple diffusive convection in two nonNewtonian liquids couple stress liquid and viscoelastic liquid of type Oldroyd-B in the presence of external constraints like rotation, gravity modulation and temperature modulation. Linear stability analysis provides the stability condition of stationary and oscillatory convection and the resultant eigen function describes the newlineconvective flow. However, linear analysis can neither help to examine the rate newlineof heat and mass transfer nor provides information on the convection newlineamplitudes. Therefore, it is also important to do nonlinear analysis. In view of newlinethis, all the problems considered in this thesis are studied for both linear and newlinenonlinear cases. The eigen value arising in the linear case for the problems newlinewithout modulation is solved by normal mode technique whereas for the problems with modulation is solved by perturbation method by adopting Venezian approach. The nonlinear study is done by using Ginzburg Landau newlinemodel for the problems with couple stress liquid whereas the nonlinear study is done by truncated representation of Fourier series by Lorenz model for the problems with viscoelastic Oldroyd-B liquid. The present study has wide range of applications in material processing, solidification of alloys, underground spreading of chemical pollutants, petroleum reservoirs, cooling of electronic devices, thermal insulation newlinematerial, crystal growth, transport of chemical substances, solar receivers, newlineinjection moulding, chemical industries, nuclear industries, bioengineering, newlineoceanography, meteorology, astrophysics, geophysics and so on. The extensive description of wide-ranging applications of triple diffusive convection in non-Newtonian liquids is accountable for the motivation of this thesis. The following four problems are carried out in this thesis: (i) EFFECT OF ROTATION ON TRIPLE DIFFUSIVE CONVECTION IN COUPLE STRESS LIQUID The effect of rotation on triple diffusive convection in couple newlinestress liquid is considered. -
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Need for an Evolved Groundwater Justice in Rural Areas of Uttar Pradesh, India
As groundwater is the primary element of life, countries all over the world are experimenting with legal reforms. The degree to which law reforms combine justice and sustainability is a crucial question. In response to this question, the present article focuses on a case study of Uttar Pradesh, India. Our response is based on a content analysis of the Uttar Pradesh Groundwater (Management and Regulation) Act, 2019, and the Uttar Pradesh Groundwater (Management and Regulation) Rules, 2020. Three conclusions emerged from our investigation. First, the 2019 Groundwater Act and the 2020 Draft Groundwater Rules are primarily motivated by concerns about resource sustainability, particularly in areas where the water table is steadily declining. Still, neither the 2019 Groundwater Act nor the 2020 Draft Groundwater Rules propose any proactive groundwater justice measures. Second, we suggest that some locally defined basic elements are critical in supporting sustainability and to a lesser extent groundwater justice. These characteristics include a communitys ability to (1) recognize a crisis and show a willingness to address it; (2) establish a rule-bound community groundwater resource; (3) demonstrate leadership and a sense of community; and (4) make use of awareness, information, and knowledge. Our third conclusion is that there is a need for community practices and state-led groundwater law to co-evolve; this co-evolution has the potential to create groundwater arrangements that support both groundwater justice and sustainability. 2024 Technoscience Publications. All rights reserved. -
Deciphering the non-linear nexus between government size and inflation in MENA countries: an application of dynamic-panel threshold model
Contradictory to conventional economic theory, which foresees any increase in the size of government as inflationary, this article provides evidence that the reaction of price levels to changes in the size of government is nonlinear. The price levels do not necessarily increase in response to a rise in the size of the government but only up to a certain threshold or optimal level. Accordingly, this paper utilizes the dynamic panel threshold model to examine the threshold effects of government size (measured as government final consumption expenditure as a proportion of GDP) on inflation using a sample of 10 selected MENA countries from 1980 to 2019. The findings of this study stand out in several ways. First, the results support the nonlinear relationship between government size and inflation in the study area. Second, the government sizes estimated threshold level is equivalent to 12.46%. Third, government size negatively impacts inflation in the regime of small governments up to the threshold level. The impact turns positive once the government size goes beyond the threshold level in a regime of large size of government. These findings have ramifications for the conduct of fiscal policy. Policymakers in the MENA region can increase the size of government till it reaches the threshold level without exerting any upward pressure on price levels. The Author(s) 2024. -
Beyond the basics: mapping the inflation response to fiscal deficit in India with smooth transition autoregressive model
Purpose: Indias historical fiscal performance has featured elevated deficit levels. Driven by the imperative need for fiscal stimulus measures in response to the crisis, efforts toward fiscal consolidation from 2003 to 2008 were reversed in 20082009 due to the financial crisis. These stimulus actions are believed to have wielded a notable influence on inflation dynamics. Presumably, a high inflation rate hinders growth and inflicts severe welfare costs. Accordingly, the principal objective of this paper is to scrutinise the threshold effects of fiscal deficit on inflation within the context of the Indian economy. Design/methodology/approach: We employed the Smooth Transition Autoregressive (STAR) Model, a robust tool for capturing non-linear relationships, to discern the specific threshold level of fiscal deficit. Our analysis encompasses annual data spanning from 1971 to 2020. Additionally, we have leveraged the Toda-Yamamoto causality test to establish the existence and direction of a causal connection between fiscal deficit and inflation in the Indian economy. Findings: Our analysis pinpointed a critical threshold level of 3.40% for fiscal deficit, a value beyond which inflation dynamics in India undergo a marked transition, signifying the presence of significant non-linear effects. Moreover, the results derived from the Toda-Yamamoto causality test offer substantiating evidence of a causal relationship originating from the fiscal deficit and leading to inflation within the Indian economic framework. Research limitations/implications: The findings of our study carry significant implications, particularly for the formulation and execution of both fiscal and monetary policies. Understanding the threshold effects of fiscal deficit on inflation in India provides policymakers with valuable insights into achieving a harmonious balance between these two critical economic variables. Originality/value: To the best of our knowledge, this study is the first of its kind to empirically investigate threshold effects of fiscal deficit on inflation in India from a non-linear perspective using the Smooth Transition Autoregression (STAR) model. 2024, Emerald Publishing Limited. -
Beyond the basics: mapping the inflation response to fiscal deficit in India with smooth transition autoregressive model
Purpose: Indias historical fiscal performance has featured elevated deficit levels. Driven by the imperative need for fiscal stimulus measures in response to the crisis, efforts toward fiscal consolidation from 2003 to 2008 were reversed in 20082009 due to the financial crisis. These stimulus actions are believed to have wielded a notable influence on inflation dynamics. Presumably, a high inflation rate hinders growth and inflicts severe welfare costs. Accordingly, the principal objective of this paper is to scrutinise the threshold effects of fiscal deficit on inflation within the context of the Indian economy. Design/methodology/approach: We employed the Smooth Transition Autoregressive (STAR) Model, a robust tool for capturing non-linear relationships, to discern the specific threshold level of fiscal deficit. Our analysis encompasses annual data spanning from 1971 to 2020. Additionally, we have leveraged the Toda-Yamamoto causality test to establish the existence and direction of a causal connection between fiscal deficit and inflation in the Indian economy. Findings: Our analysis pinpointed a critical threshold level of 3.40% for fiscal deficit, a value beyond which inflation dynamics in India undergo a marked transition, signifying the presence of significant non-linear effects. Moreover, the results derived from the Toda-Yamamoto causality test offer substantiating evidence of a causal relationship originating from the fiscal deficit and leading to inflation within the Indian economic framework. Research limitations/implications: The findings of our study carry significant implications, particularly for the formulation and execution of both fiscal and monetary policies. Understanding the threshold effects of fiscal deficit on inflation in India provides policymakers with valuable insights into achieving a harmonious balance between these two critical economic variables. Originality/value: To the best of our knowledge, this study is the first of its kind to empirically investigate threshold effects of fiscal deficit on inflation in India from a non-linear perspective using the Smooth Transition Autoregression (STAR) model. 2024, Emerald Publishing Limited. -
Beyond averages: Mapping unequal learning and the dynamics of educational access in Jammu and Kashmir using Gini Decomposition Analysis
Educational inequality remains a persistent challenge in India, particularly in the Union Territory of Jammu and Kashmir, where disparities in access and attainment hinder socioeconomic progress. This study examines shifts in educational inequality over time and explores disparities based on geographic and socioeconomic factors. Using data from two rounds of the National Family Health Survey (NFHS-4 and NFHS-5), we apply a Gini decomposition framework to distinguish between-group and within-group inequalities and employ a generalized ordered logistic regression model to assess determinants of educational attainment. Our findings indicate an overall increase in average years of schooling and a reduction in the Gini coefficient, yet significant disparities remain across gender, wealth status, and regional divisions. The results highlight the need for targeted interventions to improve access to education for rural populations, women, the Muslim community, and the Kashmir division. Strengthening school infrastructure, expanding e-learning resources, and promoting gender inclusive policies can help bridge these educational gaps and foster equitable progress. 2025 Elsevier Ltd -
Employing Deep Learning in Intraday Stock Trading
Accurate stock price prediction is a significant benefit to the Stock investors. The future Stock value of any company is determined by Stock market prediction. A successful prediction of the stock's future price could result in a significant profit; Hence investors prefer a precise Stock price prediction. Although there are many different approaches to helps in forecasting stock prices, this paper will briefly look into the deep learning models and compare LSTM model and its variants. The key intention of this study is to propose a model that is best suitable and can be implemented to forecasting trend of stock prices. This paper focuses on binary classification problem, predicting the next-minute price movement of SPDR SP 500 index The testing experiments performed on the SPDR SP 500 index reveals that the variants of LSTM models, Slim LSTM1, slim LSTM2, and Slim LSTM3 with less parameters, provide better performance when compared to the Standard LSTM Model. 2020 IEEE. -
Exploring BERT and Bi-LSTM for Toxic Comment Classification: A Comparative Analysis
This study analyzes on the classification of toxic comments in online conversations using advanced natural language processing (NLP) techniques. Leveraging advanced natural language processing (NLP) techniques and classification models, including BERT and Bi-LSTM models to classify comments into 6 types of toxicity: toxic, obscene, threat, insult, severe toxic and identity hate. The study achieves competitive performance. Specifically, fine-tuning BERT using TensorFlow and Hugging Face Transformers resulted in an AUC ROC rate of 98.23%, while LSTM yielded a binary accuracy of 96.07%. The results demonstrate the effectiveness of using transformer-based models like BERT for toxicity classification in text data. The study discusses the methodology, model architectures, and evaluation metrics, highlighting the effectiveness of each approach in identifying and classifying toxic language. Additionally, the paper discusses the implementation of a userfriendly interface for real-time toxic comment detection, leveraging the trained models for efficient moderation of online content. 2024 IEEE. -
Emotion Regulation and Psychological Well-being as Contributors Towards Mindfulness Among Under-Graduate Students
Emotion regulation is generally described as the ability of an individual not only to manage emotions effectively but also to respond effectively to the emotional experience. It has also been viewed as a crucial aspect for psychological well-being. It is a psychological state which means more than just being free from stress and not having any other psychological disorder reported by the individual. At the same time, students with higher emotion regulation and psychological well-being are expected to be more attentive and able to observe, describe and participate in the present moment, effectively, with non-judgmental awareness, which is in turn defined as mindfulness. Hence, it has been expected that participants with higher emotion regulation and psychological well-being would also report higher levels of mindfulness. Therefore, the present empirical investigation has been conducted with an objective of assessing the level of emotion regulation, psychological well-being and mindfulness among under-graduate students. Additionally, it was also expected that all the said variables would be positively correlated and emotion regulation and psychological well-being would predict mindfulness positively for under-graduate students. For this purpose, ex post facto research design was adopted, and standardized tools pertaining to emotion regulation, psychological well-being and mindfulness were administered on a sample of 104 under-graduate students. The results of correlation statistics revealed that emotional regulation (r=0.27; p<0.01) and psychological well-being (r=0.21; p<0.01) are the positive and significant correlates of mindfulness. Additionally, statistical outcomes of stepwise multiple regression analysis confirm that emotion regulation and psychological well-being are the significant predictors of mindfulness and contribute collectively towards a 11% variance towards the same. 2020, Springer Nature Switzerland AG. -
Effect of Mindfulness Based Dialectical Behavioral Therapy (MBDBT) Training on it Employees: An Intervention Based Approach
Mindfulness Based Dialectical Behavioral Therapy (MBDBT) is a recent advancement in mindfulness-based interventions, focusing on helping clients observe their experiences, describe them using verbal labels, and be fully present in the moment and their actions without self-consciousness. This study investigated the effectiveness of MBDBT training on young employees using a mixed-method approach. The research was conducted on a sample of 10 newly joined IT employees in Bangalore, aged 25-30 years, over a 6-week period. The methodology included regular interviews for MBDBT skill training and standardized assessments measuring perceived stress, mindfulness, emotion regulation, and general self-confidence. Assessments were conducted at pre-, mid-, post-, and one-month follow-up sessions. The findings indicate that MBDBT has a significant effect on enhancing mindfulness and cognitive reappraisal while reducing expressive suppression with practice. These results suggest potential benefits of implementing MBDBT training programs for young professionals in the IT sector, with implications for improving their mental well-being and work performance. 2024 selection and editorial matter, Dr. Sundeep Katevarapu, Dr. Anand Pratap Singh, Dr. Priyanka Tiwari, Ms. Akriti Varshney, Ms. Priya Lanka, Ms. Aankur Pradhan, Dr. Neeraj Panwar, Dr. Kumud Sapru Wangnue; individual chapters, the contributors. -
Effect of Mindfulness Based Dialectical Behavioral Therapy (MBDBT) Training on it Employees: An Intervention Based Approach
Mindfulness Based Dialectical Behavioral Therapy (MBDBT) is a recent advancement in mindfulness-based interventions, focusing on helping clients observe their experiences, describe them using verbal labels, and be fully present in the moment and their actions without self-consciousness. This study investigated the effectiveness of MBDBT training on young employees using a mixed-method approach. The research was conducted on a sample of 10 newly joined IT employees in Bangalore, aged 25-30 years, over a 6-week period. The methodology included regular interviews for MBDBT skill training and standardized assessments measuring perceived stress, mindfulness, emotion regulation, and general self-confidence. Assessments were conducted at pre-, mid-, post-, and one-month follow-up sessions. The findings indicate that MBDBT has a significant effect on enhancing mindfulness and cognitive reappraisal while reducing expressive suppression with practice. These results suggest potential benefits of implementing MBDBT training programs for young professionals in the IT sector, with implications for improving their mental well-being and work performance. 2024 selection and editorial matter, Dr. Sundeep Katevarapu, Dr. Anand Pratap Singh, Dr. Priyanka Tiwari, Ms. Akriti Varshney, Ms. Priya Lanka, Ms. Aankur Pradhan, Dr. Neeraj Panwar, Dr. Kumud Sapru Wangnue; individual chapters, the contributors. -
Convergent replicated data structures that tolerate eventual consistency in NoSQL databases
The Eventual consistency is a new type of database approach that has emerged in the field of NoSQL, which provides tremendous benefits over the traditional databases as it allows one to scale an application to new levels. The consistency models used by NoSQL database is explained in this paper. It elaborates how the eventually consistent data structure ensures consistency on storage system with multiple independent components which replicate data with loose coordination. The paper also discusses the eventually consistent model that ensures that all updates are applied in a consistent manner to all replicas. 2013 IEEE. -
Real-time architectural efforts in building a social network using NOSQL databases
Relational database management systems (RDBMS) today are the predominant technology for storing structured data in web and business applications. Along with the increasing size of the datasets, the number of accesses and operations performed increases. This growth, enhanced by the proliferation of social networks, led to a depletion of traditional relational databases that were commonly used to solve a wide range of problems. -
Sustainable finance and the United Nations Sustainable Development Goals
Sustainable finance plays a vital and crucial role in the development of nations and the economic growth of countries, particularly in emerging economies. Notwithstanding its significance, integrating sustainability into financial and operational strategies remains a challenge and an obstacle toward achieving broader societal goals. This chapter explores the development of financial strategies that align with the United Nations' Sustainable Development Goals (SDGs), aiming to foster improved economic growth, reduced environmental impact, and enhanced social well-being. By addressing key SDGs such as responsible consumption and production, decent work and economic growth, and climate action, the research identifies successful pathways to balance financial viability with sustainability objectives. The study examines various financial mechanisms, including green financing, impact investing, and government subsidies, to evaluate their potential in driving sustainable practices across industries. 2025 by IGI Global Scientific Publishing. All rights reserved. -
Crystal shape engineering and studies on the performance of vapour deposited InSe platelets
The influence of growth conditions on the morphology of stoichiometric indium monoselenide (InSe) crystals has been explored. Crystalline habits such as microfibres, needles, platelets and spherulites were obtained from physical vapour deposition by optimizing supersaturation, which sturdily depends on the temperature difference between charge (TC) and substrate (TS) zones ?T, (= TC ? TS). Morphology and growth mechanism were investigated with the aid of scanning electron microscopy and high-resolution transmission electron microscopy, which justified the layer by layer addition of atoms as per the KosselStranskiVolmer model. Thermogravimetric measurements revealed the stability of InSe, confirming its melting point, M.P. = 611C, which reflects the formation of monophase. The mobility and carrier concentration calculated from the Hall effect experiment are found to be 11.14cm2V?1s?1 and 1.52 1020cm?3 respectively. Furthermore, optical characterizations such as UVVisNIR and photoluminescence spectrometric analysis established the value of band gap as 1.45eV, manifesting the versatility of the grown semiconducting platelets for photovoltaic applications. 2018, Springer Science+Business Media, LLC, part of Springer Nature. -
Grain-growth engineering and mechanical properties of physical-vapour-deposited InSe platelets
The present work demonstrates a novel use of physical vapour deposition for grain-growth engineering by optimizing supersaturation, which led to the evolution of stoichiometric indium monoselenide crystals, employing a custom-fabricated dual-zone furnace. The growth zone was kept at a constant temperature for different experimental runs (673-883K), while the source zone was kept at a stable temperature of 1123K. In this way, the temperature difference ?T = 240-450K resulted in a significant increase of the mass transport between the zones so as to accomplish bulk crystallization. At comparatively low supersaturation (?T = 240K), the presence of nodules and flakes was observed. When ?T = 250K, multiple grains were formed owing to temperature asymmetry at the rough vapour-solid interface. A further increase in supersaturation (?T = 330K) facilitated polyhedral grain growth, with distinct grain boundaries. A subsequent increment in ?T (400K) led to evolution of the polycrystalline morphology to well developed hexagonal platelets owing to adsorption of atoms on surface steps and kinks in accordance with the leading-edge growth mechanism. Energy-dispersive analysis by X-rays and X-ray diffraction experiments were carried out to confirm the structure and phase of crystals. Microindentation studies were done to assess the hardness and mechanical stability of the as-grown crystals in response to external loads in order to explore their suitability for solar cell applications. The investigations of bulk vapour phase transport, morphology and strengthening of InSe platelets provide pathways for the production of crystalline textures with versatile properties. International Union of Crystallography 2017.