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Learn, unlearn, and relearn: A step towards bringing resilience in business organizations in the post-COVID-19 regime
The world on a whole has undergone a paradigm shift in its journey with the onset of the COVID-19 threat. Business houses of any stature tremendously suffered towards their consistent and competitive survival. Means and measures are few to implement and very challenging in reaping the benefits. Sheer fall in GDP, dropping in the rate of industrialization and productivity are no unknown facts in the present-day scenario. Indians are unfortunate to embrace the pandemic at the juncture of planning and forecasting of India becoming a five trillion dollar economy by 2025. 2022, IGI Global. All rights reserved. -
Through the Lenses of Sexual Minorities in the Indian LGBTQ + Community: Perception of Social Equality and Community Support
Whether in the form of same-sex attraction or love, the history of same-sex relationships has been well documented in every culture across the globe. In India, evidence of the same can be found on the monolithic sculptures of the Vishvanath Temple in Khajuraho and texts like Mahabharata and Sushrata Samahita. The acceptance and openness enjoyed by the non-hetero-normative and non-cis-gender individuals in ancient India, changed after the nations colonization. In current times, mainstream society holds heterosexual intercourse as the norm while considering same-sex relationships as deviations. Same sex relationships are a highly stigmatized and garner objections from several religious and political sects. This social stigma and erasure becomes harsher when directed toward individuals with polysexual or asexual orientations. The lack of awareness and representations garners bisexuals, pansexuals and asexuals the status of sexual minorities within the LGBTQ + community. This study makes use of three focus group discussions to explore the perception of each sexual minority regarding social equality within the Indian LGBTQ + community and outside it, alongside trying to understand the community support received by the sexual minorities in the Indian LGBTQ + community. The study uses inductive thematic analysis to draw out themes. The results indicate a predominant feeling of being misunderstood, exploited, fetishized and alienated even within the LGBTQ + community while finding solace in their own sub-communities and the online community. The results also reveal feelings expectations held by individuals from each sexual minority in terms of their desired place in society. 2024 Taylor & Francis Group, LLC. -
Environmental hazards and disasters - A response towards mitigating disaster management
In today's world, our entire planet is under tremendous strain from various natural catastrophic events such as earthquakes, tsunamis, drastic weather changes, hurricanes, global warming, diminishing of glaciers, occurrences of landslides, etc. Such a difficult situation is encountered due to the overhasty extraction of non-renewable natural resources of our planet and the growing rate of presence of humans in the world. It affects the environment to a great extent. Such ventures lead the entire globe towards disastrous events which are irreversible and prepare us to face the worst situation. Hence, the policymakers should develop sophisticated policies focused on advanced disaster management technologies and adopt new methodologies. Several integrated research on disaster prevention programs is already being conducted, even though continuous exploration in this field aligned with all possible consequences is very important. The conclusions and suggestions from research papers will be carefully analyzed to drive the most effective approach to handling such atrocious situations. 2023 Author(s). -
The brain at work: Understanding how neuroscience shapes organizational behavior
This book chapter delves deep into the realm of organizational behaviour through the lenses o neuroscience, aiming to shed light on the convoluted relationship between the brain, behaviour and organizational dynamics. The integration of neuroscience and organizational behaviour offer profound insights into understanding the underlying mechanisms driving human behaviour at the workplace. The foundation lies in establishing an extensive understanding of neuroscience principles and their relevance in shaping the organizational behaviour. Central to this exploration are the key brain areas such as the prefrontal cortex, amygdala, and hippocampus, each playing a prominen role in influencing employee choices, emotional responses, memory, and decision-making processe within an organizational setting. Additionally, neurotransmitters like dopamine and serotonin are examined for their impact on motivation, reward-seeking behaviour, mood regulation, and socia interactions in the workplace. Building upon these foundational concepts, the chapter investigate the benefits of integrating neuroscience into organizational behaviour research and practice Notably, it addresses the importance of understanding unconscious biases and their implications on decision-making processes, aiming to foster fairer and more equitable organizational environments Moreover, the study explores how insights from neuroscience can optimize employee well-being engagement, and workplace satisfaction by identifying neural mechanisms associated with stress burnout, and work-life balance. 2024 by IGI Global. All rights reserved. -
A social psychological investigation of Anti-nationalism in contemporary India A media analysis
The paper aims to explore the consensual and dissident social representations of anti-national that has re-entered the media lexicon in India post an alleged anti-national student protest in Jawaharlal Nehru University in the capital city of Delhi, India on February 9, 2016. The Social Representation Theory (SRT) is used to analyze the selected media reports of six daily newspapers, three each in English and Hindi language for a period of one year subsequent to the event. Results of thematic anchoring and anchoring by antinomy, a methodology used by Birgitta Hjer, are reported. The results reveal how the intergroup tensions and ideological differences in the polity constitute the conflicting social thinking on the referent. The paper has global implication for opening the possibilities of negotiation and transformation of social meanings related to nationalism and anti-nationalism. The Author(s) 2025. -
Economic Growth, Automation and Environmental Degradation: An Empirical Evidence from Asian Countries
In the era of Industry 4.0 the increase in population as a result of environmental erosion is the prime concern in the global scenario, Asia as the biggest continent is very much applied to it. In this context assessment of the interrelation relationship between automation, financial development, environmental degradation, and per capita growth of 12 Asian Countries from 1995 to 2022 using the panel ARDL model, in addition to assessing the cause-effect relationship panel causality test also incorporated. As a part of ARDL PMG estimation results demonstrated that capital formation, import automation machinery, urban population growth, and ecological footprint positively impact per capita in the long term. But in this phenomenon, aggregate industrial value added negatively impacts per capita, because of automation labor displacement. Results from the causality test suggest that economic upswing, and urban population growth two-way causal relationship. However, capital formation, value-added, and ecological footprint positively impacted per capita growth. Regarding policy formulation need to formulate the necessary skill development program so that individuals can cope with the new decade of automation, in addition, ecological footprint as an indicator of environmental degradation positively impacts per capita growth, so the government needs to make a strategy at the societal level toward sustainable ecofriendly behavior. 2024 IEEE. -
Toxic text classification
The users of the Internet increase every moment with increasing population and accessibility of the Internet. With the increase in the number of users of the Internet, the number of controversies, arguments and abuses of all kinds increases. It becomes necessary for social media and other sites to identify toxic content amongst a large number of content being posted by the users of the sites every second. The traditional algorithms that depend on users reporting toxic content for it to be deleted and necessary actions to be taken against the users posting the content would take a long time, within which it would have gained media attention and would have lead to huge fights over the content. Thus, it becomes important for the content to be evaluated for toxicity at the time it is posted in order to stop it from being posted. Therefore, we have designed and trained a deep learning model that can be read through the textual content given through it and determine if it is toxic or not. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2021. -
Classifying bipolar personality disorder (bpd) using long short-term memory (lstm)
With the advancement in technology, we are offered new opportunities for long-term monitoring of health conditions. There are a tremendous amount of opportunities in psychiatry where the diagnosis relies on the historical data of patients as well as the states of mood that increase the complexity of distinguishing between bipolar disorder and borderline disorder during diagnosis. This paper is inspired by prior work where the symptoms were treated as a time series phenomenon to classify disorders. This paper introduces a signature-based machine learning model to extract unique temporal pattern that can be attributed as a specific disorder. This model uses sequential nature of data as one of the key features to identify the disorder. The cases of borderline disorder that are either passed down genetically from parents or stem from exposure to intense stress and fear during childhood are discussed in this study. The model is tested with the synthetic signature dataset provided by the Alan Turing Institute in signature-psychiatry repository. The end result has 0.95 AUC which is an improvement over the last result of 0.90 AUC. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2021. -
Accident Detection Using Convolutional Neural Networks
Accidents have been a major cause of deaths in India. More than 80% of accident-related deaths occur not due to the accident itself but the lack of timely help reaching the accident victims. In highways where the traffic is really light and fast-paced an accident victim could be left unattended for a long time. The intent is to create a system which would detect an accident based on the live feed of video from a CCTV camera installed on a highway. The idea is to take each frame of a video and run it through a deep learning convolution neural network model which has been trained to classify frames of a video into accident or non-accident. Convolutional Neural Networks has proven to be a fast and accurate approach to classify images. CNN based image classifiers have given accuracy's of more than 95% for comparatively smaller datasets and require less preprocessing as compared to other image classifying algorithms. 2019 IEEE. -
A Comparative Analysis of Autonomous Ledger Systems for Enhanced Blockchain Computing Applications
Due to its potential to completely transform a number of sectors thanks to its irreversible and decentralized ledger system, the use of blockchain technology has recently attracted a lot of interest. Blockchain-based systems still face considerable issues with regard to scalability and effectiveness. This study compares autonomous ledger systems and examines how they are used in blockchain technology computation. With their capacity for self-management and resource allocation optimization, autonomous ledger systems provide intriguing answers to these problems. As examples of autonomous ledger systems, we look at self-care networks, adaptable consensus techniques, and autonomous government systems. We compare them and assess how well they function to improve the speed, security, and scalability of blockchain networks. We also examine the real-world uses of these independent ledger systems in industries including logistics management, banking, and medical services. With the goal of advancing blockchain computing and enabling more reliable and effective decentralized applications, this study intends to shed light on the possibilities of autonomous ledger systems. 2023 IEEE. -
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Effects of Yoga and Combined Yoga with Neuro-Linguistic Programming on Psychological Management in Mothers of Adolescents: A Randomized Controlled Trial
Adolescent parenting presents significant challenges for mothers, often leading to elevated levels of stress and anxiety that can adversely affect their well-being and parenting effectiveness. This study aims to evaluate the efficacy of yoga alone and in combination with Neuro-Linguistic Programming (NLP) in managing stress and anxiety among mothers of adolescent children. In this randomized controlled trial, 90 participants aged 35-55 years (mean age 44.564.58 years), each with at least one child aged 13-19 years, were randomly assigned to one of three groups: control, yoga, or yoga with NLP. Interventions were conducted over 12 weeks, with outcome measures assessed pre- and post-intervention by trained research assistants blinded to group allocation. The Depression, Anxiety, and Stress Scale (DASS-21), and Pittsburgh Sleep Quality Index (PSQI), were utilized to evaluate outcomes. Both intervention groups demonstrated significant reductions in depression, anxiety, and stress levels compared to the control group. The yoga with NLP group exhibited superior improvements across all primary outcomes, with statistically significant differences noted in depression (mean difference =7.1, p<0.001), anxiety (mean difference =5.1, p<0.001) and stress levels (mean difference =5.5, p<0.001). Additionally, sleep quality improved significantly in both intervention groups, with the yoga with NLP group showing greater benefits. This study provides evidence that yoga, particularly in combination with NLP, is an effective non-pharmacological approach for reducing stress and anxiety and improving sleep quality among mothers of adolescents. These findings support the integration of mind-body practices into mental health care, highlighting the potential synergistic benefits of combining physical and cognitive interventions. Future research should explore long-term effects and the mechanisms underlying these improvements. 2024 Montenegrin Sports Academy. All rights reserved. -
Do the Dragons Move Together ; Co- Integrated and Casuality Study Among Chinese Bourses- A Curious Case of Hang Seng and Shangai Stock Exchange
Al- Barkaat Institute of Management Studies, Vol. 8, Issue 3, pp. 1-8, ISSN No. 0974-7281 -
Determinants of Indian GDP growth a conundrum- A quantitative study /
International Journal Of Social and Economic Research, Vol.4, Issue 4, pp.181-192, ISSN No: 2249-6270. -
Rational bubble testing: An in-depth study on CNX nifty /
Asian Journal of Research in Banking and Finance, Vol.6, Issue 6, pp.10-16, ISSN: 2249-7323. -
Do the dragons move together; Co-integrated and causality study among chinese bourses- A curious case of Hang Seng and Shanghai stock exchange /
Al-Barkaat Journal of Finance and Management, Vol.8, Issue 2, pp.1-8, ISSN: 2229-4503. -
In search for FPI trail in blue-chip Indian bourse during a phase of rehabilitation- An investigative study /
Asian Journal of Management, Vol.8, Issue 1, pp.107-111, ISSN: 0976-495X (Print), 2321-5763 (Online). -
FRA CDS VDAX Based credit crash model: A German conundrum /
International Journal Of Economic Research, Vol.14, Issue 8, pp.221-228, ISSN: 0972-9380. -
PSU bank modeling- A comparative modeling approach involving artificial neural network and panel data regression /
Asian Journal of Research in Business Economics and Management, Vol.6, Issue 6, pp.27-36, ISSN: 2249-7307. -
Fear estimation evidence from BRICS and UK /
International Journal Of Applied Business And Economic Research, Vol.15(4), pp.195-207, ISSN: 0972-7302.