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Geraniol and Citral as potential therapeutic agents targeting the HSP90 activity: An in silico and experimental approach
Lemongrass essential oil has antifungal and anti-cancerous properties. Heat-shock protein (HSP90), an ATP-dependent molecular chaperone found in eukaryotes, is involved in protein folding, stability, and disease, making it a promising research topic. Both in silico and in vitro approaches were used to provide a clear insight into the HSP90-ATPase 3D structures, activity, and their interaction with the essential oil constituents among various species such as fungi (S. cerevisiae), parasites (P. falciparum), and humans. For in silico studies, sequence alignment, docking (AutoDock), and absorption, distribution, metabolism, and excretion (ADME) properties were evaluated to obtain hit compounds specifically against each HSP90-ATPase. The hit compounds obtained were evaluated for their efficacy in the in vitro studies of S. cerevisiae. In vitro studies were carried out targeting HSP90-ATPases via lemongrass essential oil components individually and in combination as a function of concentration and various salt concentrations. Results suggest that sequence alignment exists of over 75% among these three species. The best docking score was possessed by Geraniol and its constituent (geldanamycin ? ?4.93 kcal/mol) (a known antifungal and antitumor against HSP90) in all the above species. Lemongrass oil and the combination of Geraniol and Citral at concentrations of 80 ?g/mL showed the maximum inhibition of ATPase and HSP90-ATPase activity compared to their individual treatment. Therefore, both in silico and in vitro studies provide clear evidence of specific inhibitory action of lemongrass oil, Geraniol, and Citral against the ATPase and HSP90ATPase activities and might show potential as antifungal and antitumor drugs. 2021 -
Gestational diabetes prediction using hybrid probabilistic machine learning models
[No abstract available] -
Gesture based Real-Time Sign Language Recognition System
Real-Time Sign Language Recognition (RTSLG) can help people express clearer thoughts, speak in shorter sentences, and be more expressive to use declarative language. Hand gestures provide a wealth of information that persons with disabilities can use to communicate in a fundamental way and to complement communication for others. Since the hand gesture information is based on movement sequences, accurately detecting hand gestures in real-time is difficult. Hearing-impaired persons have difficulty interacting with others, resulting in a communication gap. The only way for them to communicate their ideas and feelings is to use hand signals, which are not understood by many people. As a result, in recent days, the hand gesture detection system has gained prominence. In this paper, the proposed design is of a deep learning model using Python, TensorFlow, OpenCV and Histogram Equalization that can be accessed from the web browser. The proposed RTSLG system uses image detection, computer vision, and neural network methodologies i.e. Convolution Neural Network to recognise the characteristics of the hand in video filmed by a web camera. To enhance the details of the images, an image processing technique called Histogram Equalization is performed. The accuracy obtained by the proposed system is 87.8%. Once the gesture is recognized and text output is displayed, the proposed RTSLG system makes use of gTTS (Google Text-to-Speech) library in order to convert the displayed text to audio for assisting the communication of speech and hearing-impaired person. 2022 IEEE. -
Getting Back to Work: Cognitive-Communicative Predictors for Work Re-entry Following Traumatic Brain Injury
Return to work following a Traumatic Brain Injury (TBI) is affected by deficits across the cognitive, psycho-social and physical domains. The specific role of cognitive -communicative abilities influencing work re-entry is understudied. This study aimed at identifying the cognitive-communicative predictors for work re-entry following TBI. Thirty patients with TBI employed pre morbidly were categorized into two groups- 14 employed and 16 unemployed post TBI. Those having sustained mild, moderate or severe head injury and in the post injury period of 648months were recruited and majority belonged to skilled/ professional type of premorbid occupational status. They underwent a detailed assessment of cognition, language and communication using NIMHANS Neuropsychology Battery, Indian adapted versions of Western Aphasia Battery and La Trobe Communication Questionnaire (LCQ) respectively. Patients employed post TBI had better Aphasia Quotient (AQ) and better performance on all the cognitive domains and few domains of LCQ than those who remained unemployed. On step-wise Discriminant Function Analysis (DFA), injury severity and AQ could significantly differentiate between the two groups with an overall accuracy of 80%. Severity of head injury is a significant predictor for employability post TBI and evaluation of language along with cognitive abilities is crucial for patients with TBI for work re-entry. The study highlights the importance of a multi-disciplinary team in the assessment and management of cognitive-communication impairments following a TBI. 2022, The Author(s), under exclusive licence to Springer Nature India Private Limited. -
Getting Rid of Organizational Complacency in a Dynamic Environment
This case investigates the external consultants organizational diagnosis aimed at understanding the imperative for change within Infotics Solutions. It explores various concepts, including the nature of planned change and the resistance exhibited by employees. Emphasis is placed on the necessity of a comprehensive organizational diagnosis before embarking on the change process, highlighting the pitfalls of relying solely on a leaders intuition and experience to initiate change. Furthermore, the case underlines the implementation of human resource management interventions and their significance from both employee and organizational standpoints. It addresses the protagonists recognition of the need for external consultants expertise to grasp the problem and devise a strategic change process. The consultants methodical approach to planning change across different themes to achieve organizational objectives is elucidated, featuring the importance of employing the right diagnosis technique in situations where the problem is unclear. The case also showcases the consultants analytical approach to problem-solving, offering specific solutions tailored to the organizations needs. Ultimately, it illustrates the challenges faced by organizations that lean heavily on past successes and struggle to adapt to evolving environmental demands. Lastly, the case highlights the importance of analysing survey results and implementing theme-based interventions to address the issues confronting the organization and its employees at Infotics Solutions. 2024 Lahore University of Management Sciences. -
Ghost Kitchens Transforming the Culinary Landscape and Shaping the Future of Food Delivery
It presents an important shift in the food service industry, most of which was accelerated during the COVID-19 pandemic: ghost kitchens, or virtual or cloud kitchens. This research discusses the operational mechanisms, workforce consequences, and consumer attitudes toward ghost kitchens, which operate strictly for delivery purposes without having a traditional dining area, as well as the literature used between the years 2007 to 2024. The labor standards and compliance, as most ghost kitchens are built upon gig economy workers who toil in challenging circumstances. Additionally, the study examines consumer perception of this new phenomenon of dining and its potential for transforming culinary careers. Its findings indicate that while ghost kitchens open avenues for creativity in culinary arts and expansion of the marketplace, it simultaneously necessitates a readjustment in labor norms and consumer awareness. Given the anticipated high growth rate for the ghost kitchen market in the next years, it is significant that food service sector stakeholders grasp these dynamics. 2025 by IGI Global Scientific Publishing. All rights reserved. -
GLANCEGuided Language Through Autoregression Establishing Natural and Classifier-Free Editing
In this study, researchers aimed to simplify text conversion into images using the latest text-to-image generation methods. While these methods have improved the quality and relevance of generated images, certain crucial questions remained unanswered, limiting their practicality and overall quality. To address these issues, the researchers introduced a novel text-to-image method. This method allows for better control of the scene depicted in the image through text, enhances the tokenization process by incorporating specific knowledge about key image regions such as faces and important objects, and provides guidance to the transformer model without needing a classifier. The outcome of this work was a model that achieved state-of-the-art results in terms of image quality and human evaluation, enabling the generation of high-fidelity 512?512-pixel images. Moreover, this method introduced new capabilities, including scene editing, text editing with reference scenes, handling out-of-distribution text prompts, and generating story illustrations. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. -
Glancing angle sputter deposited tungsten trioxide (WO3) thin films for electrochromic applications
The columnar growth angle-dependent tungsten oxide (WO3) thin films were grown by using the Glancing angle sputter deposition (GLAD) technique with varying different substrate angles (00, 700, 750, and 800) on Fluorine-doped tin oxide (FTO) and Corning glass (CG) corning glass substrates at room temperature. The surface morphology, crystallographic structure, optical, and electrochemical properties were determined using X-ray diffraction (XRD), Field emission scanning electron microscopy (FE-SEM), UltravioletVisible(UVVis) spectrometer, and electrochemical analyzer, respectively. The structural properties reveal that the films are amorphous in nature. FE-SEM studies observed the columnar growth of the nano-rods and surface porosity. The optical transmittance of the deposited films was decreased from 83 to 78%, and the optical bandgap decreased from 3.08 to 2.88eV with increasing GLAD angle. The electrochemical studies reveal that the GLAD angle influenced the coloration efficiency (CE). The highest CE of 32cm2/C at 600nm and highest Diffusion coefficient (DC) of 6.529 109 cm2s?1 of the films was observed for the films deposited at an angle of 750. 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH, DE part of Springer Nature. -
Global Analysis of Quantum Technology Discourse
he study provides a thorough exploration of the global quantum technology landscape, offering valuable insights for researchers, policymakers, and industry stakeholders. It employs advanced analytical methods such as Latent Dirichlet Allocation (LDA) and Non-Negative Matrix Factorization (NMF) for topic modeling. The research focuses on understanding discussion intensity, geographical distribution, co-mentioning patterns among countries, prevalent topics, and keyword-based trends. Utilizing diverse datasets, the study employs heatmaps, network analysis, and thematic analysis to categorize textual data. Evaluation metrics like Topic Coherence and Network Centrality Measures contribute to a robust methodology.Key findings include dominant discussions on quantum computing and investment strategies, with focused attention on governmental roles in R&D and specific quantum computer research. Notably, there is a niche focus on quantum algorithmic risks in Australia. Document characteristics vary, with some blending multiple themes and others centered around a single topic. LDA topic modeling and network analysis identify key countries, showcasing global hotspots and potential collaborations in quantum technology discussions. 2024 IEEE. -
Global and Indian Perspectives on Russia-Ukraine War using Sentiment Analysis
In today's world, social media has become a platform through which people express their opinions and thoughts regarding various topics. Twitter is one such platform wherein people resort to expressing their opinions or portraying sentiments to the world. Today it has become easier to analyze mass opinion by using sentiment analysis. This paper investigates the ongoing Russia-Ukraine war by analyzing opinionated tweets, and it seeks to understand the sentiments from a global and Indian perspective. Operation Ganga was carried out to evacuate Indian citizens from the war-hit region. Multinomial Naive Bayes classifier classified the tweets into positive, neutral, and negative categories. The paper employed NRCLex for emotion classification and aspect-based sentiment analysis to divide opinions into aspects and determine the sentiment associated with each element. For the study, 4,31,857 tweets were extracted, and the results of sentiment analysis depict that 44.09% users had negative sentiments followed by 33.378% users expressing positive sentiment and remaining 22.53% people were neutral in their tweets. Fear, anger and sadness were amongst the top emotions expressed in the negative tweets whereas the positive tweets expressed trust and anticipation that the war would end soon. Operation Ganga was carried out to evacuate Indian citizens from the war-hit region. An analysis was performed on 1542 tweets that were obtained for Operation Ganga. 74.5% of the users had positive sentiments about Operation Ganga, whereas 16.67% and 8.5% had negative and neutral sentiments respectively. The people trusted this evacuation process resulting in more positive sentiments. Fear of losing near and dear ones and fear of safety was the topmost concern for Indians and leadership was one of the topmost aspects tweeted in the positive sentiments. Thus, the overall results depict that the common man does not prefer war and is fearful of the outcomes. The government should hear the voice of the common man and plan strategies and decisions considering the common man's sentiments. 2022 ACM. -
Global Anti-Discrimination Law and AI Concerning Imposter Syndrome and Legal Frameworks: Gender, Diversity, and Intersectional Bias in Professional Advancement Technology
In the age of artificial intelligence, strong anti-discrimination laws are important for more than just following the rules. It includes social, ethical and economic issues of interest to technologists and non-technologists alike. The regulations would help reduce the chance that AI perpetuates stereotypes that limit women and other groups, based on preconceived ideas. Lost impostor syndrome, behind-thescenes and careers being ruined by AI-bias fuel psychological damage to self-esteem, job satisfaction, retention etc.AI bias If bias exits in neural networks that has emerged in the workforce, " then its best to circumvent such bias before problems arise. In that chapter, it examines how international antidiscrimination law links to AI, with examples of impostor syndrome. It also explores the intersection of this technology with global anti-discrimination laws, and in doing so, reveals significant legal and sociotechnical implications. 2026 by IGI Global Scientific Publishing. All rights reserved. -
Global Applications of Indian Psychology: Therapeutic and Strategic Models
Global Applications of Indian Psychology: Therapeutic and Strategic Models addresses a pressing problem in the field of psychology: the need for a fresh perspective that can effectively tackle the complex challenges of our modern world. While traditional Western psychology has its merits, it often fails to consider crucial aspects of human experience and well-being, limiting our understanding and hindering our ability to meet diverse global needs. This book offers a solution by presenting an interdisciplinary exploration of Indian psychology and its practical applications. Edited by Anuradha Sathiyaseelan and Sathiyaseelan Balasundaram, this comprehensive guide caters to academic scholars seeking a unique approach to understanding human psychology. It delves into the historical roots and philosophical foundations of Indian psychology, providing readers with a profound understanding of its principles and theories. The book highlights the multidisciplinary applications of Indian psychology, ranging from management and health to clinical practices, highlighting the significance of ancient Indian texts, ayurveda, yoga, and mindfulness meditation. By facilitating cross-cultural dialogue and collaboration, Global Applications of Indian Psychology: Therapeutic and Strategic Models bridges the gap between Indian and Western psychology, offering researchers and practitioners insights from both traditions. This fosters a more comprehensive understanding of human psychology and equips individuals with effective strategies to enhance well-being and flourishing worldwide. This invaluable resource fills a crucial gap in the field, offering a unique perspective and practical insights for teaching professionals, students, healthcare professionals, policymakers, researchers, and scholars in their quest for understanding and improving human psychology. 2024 by IGI Global. All rights reserved. -
GLOBAL CLIMATE CHANGE GOVERNANCE: A RETHINKING
The decades of increased Green House Gas (GHG) emissions have increased global average temperature to 1.1 degrees over pre-industrial levels. In order to hold the global average temperature rise below 2 degrees Celsius and, if possible, 1.5 degree Celsius, the governments signed various treaties. However, countries? collective agreements to reduce their emissions were never kept. This study outlines why the method of mitigating global climate change has failed. The main problem was the inability to enforce goals and timelines. Ideas for even tighter emission limits will be ineffective unless they solve the enforcement gap. Trade restrictions are one method, but they introduce significant complications, particularly when used to enforce economy-wide carbon reduction agreements. The applied methodology is qualitative. This study proposes a novel strategy to unpack the climate challenge, targeting various gasses and industries with various instruments. It also illustrates how failing to address the climate problem fundamentally would generate incentives for various solutions, offering new problems for climate change governance. 2023, Institute for Research and European Studies. All rights reserved. -
Global Cultural Immersions in Learning for a Sustainable Future
Education is a critical driver for addressing global issues such as climate change, inequality, and environmental degradation. Cultural immersion programs that align with the Sustainable Development Goals (SDGs) help learners develop intercultural competence, global awareness, and a deep commitment to sustainability. These initiatives encourage practical decision-making rooted in diverse cultural, environmental, and social values. By engaging with indigenous knowledge, community-based practices, and scalable technologies, such programs foster inclusive, locally grounded solutions to global problems. Ultimately, they empower individuals and institutions to contribute meaningfully to a more just, resilient, and sustainable world. Global Cultural Immersions in Learning for a Sustainable Future highlights the transformative potential of experiential learning, demonstrating its ability to integrate cultural, environmental, and social values into practical decision-making. By presenting theoretical frameworks, case studies, and actionable strategies, it provides tools to design and implement impactful cultural immersion initiatives. Covering topics such as cross-cultural community development, global citizenship, and urban narratives, this book is an excellent resource for academicians, educators, policymakers, corporate leaders, students, researchers, and more. 2026 by IGI Global Scientific Publishing. All rights reserved. -
Global Energy Governance: Need for a Paradigm Shift
Talk on energy has been a contentious one in all climate talks. It has been the source of climate challenge and also a key to climate change solution. So far, energy production through fossil fuelscoal, oil and gashas been one of the major sources of greenhouse gas emission contributing to the global climate change. They account for over 75% of global greenhouse gas emissions and nearly 90% of all carbon dioxide emissions which have a catastrophic effect on the life on earth. Climate change has cross-border ramifications; it has a deep impact on life system across the globe. Developed and developing countries fight and indulge in politics as to the use of kind of energy, and access to resources. They blame each other as to the nature, cause and impact of climate change. Recognising the requirement of access to resources by all countries, especially developing countries, for the achievement of sustainable social and economic development, and to control greenhouse gas emission the United Nations Framework Convention on Climate Change (UNFCCC) 1992 came with the idea of common but differentiated responsibilities and called for all necessary action among the nations including technology transfer to countries dependent upon fossil fuels. But the desired energy transition has not happened so far putting the future of the planet to risk. Further, the process of globalisation and privatisation has added on to the problem by unregulated promotion of private corporations who flagrantly violate environmental norms with impunity across the globe. In the light of the above, this chapter aims at looking into a shift in the approach towards governance of global energy and orient it towards a common globalised perspective in contrast to the present nation-state perspective. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. -
Global Financial Cycle and Its Determinants: A VECM Approach
The determinants of the global financial cycle are empirically investigated in this study report. The presence of concurrent changes in capital flows, asset prices, and global bank leverage is associated with the Global Financial Cycle (GFCy). According to the research now in publication, the Chicago Board of Exchange's VIX (Volatility Index), which gauges market uncertainty and risk aversion, indicates this cycle. The Federal Reserve's monetary policy decisions are the driving force behind this cycle, and the literature already in existence has examined the ramifications of these decisions. The GFCy and, thus, the financial circumstances of emerging market economies (EMEs) could be impacted by additional global shocks. Other global shocks have the potential to impact the global financial cycle and analysis of the same is required to make the existing literature more robust. Our analysis, which includes a study of identifying the potential global shocks for a period of 23 years data (quarterly), indicates that the global financial cycle is driven by global liquidity and global economic policy uncertainty. VECM, Granger Causality, Impulse Response functions were applied. There is a unidirectional causal relationship between the global financial cycle and global liquidity, as well as a unidirectional relationship between the global financial cycle and global economic policy uncertainty. 2025, Iquz Galaxy Publisher. All rights reserved. -
Global Governance of Artificial Intelligence: Ethical, Legal Challenges and Changes in Economy and Business
Artificial intelligence (AI) and global governance are an inclusive platform to discover the policy challenges worldwide augmented by artificial intelligence. The platform has three predominant subjects: AI and the global order, governance of AI, insights on the platform consider for mapping of AI futures. AI has great impact in revolution of geopolitical order and the reaction of multifaceted organizations which minimize AI risks and unpremeditated significances and its social aids are maximized through governance structures. It focusses on setups, collaborations, and tensions between different actors responsible for plan, deployment, support and governance of AI. AI improves the benefit for human well-being, productivity, social good, and safety with substantial risks for workers, developers, firms, and governments. The actors and organization begin to realize the ethical, legal, and regulatory challenges associated with AI. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Global Healthcare Reform Trends: Leadership, Diplomacy, and Governance in the Digital Era
Healthcare reform in the twenty- first century has shifted from a primarily national concern to a complex global governance challenge shaped by digital innovation, economic interdependence, and transnational health risks. The COVID- 19 pandemic exposed critical gaps in leadership, coordination, and governance, underscoring the need for integrated and collaborative reform approaches. This chapter examines global healthcare reform trends in the digital era, focusing on the roles of leadership, health diplomacy, and governance in shaping cross- border policy and system transformation. Drawing on global governance, leadership, health diplomacy, and institutional theories, it conceptualizes healthcare reform as a multilevel process. The chapter introduces a phygital healthcare governance framework that integrates physical and digital systems to promote equity, resilience, and sustainable healthcare reform. 2026 by IGI Global Scientific Publishing. All rights reserved. -
Global iPhone Local Labour: Exploring ICT Production, Labour and Cultural Production
A theory of value pertinent to the contemporary iPhone era focuses on formal and informal labour circuits. This study extends this framework by examining a labour dispute in an iPhone factory near Bangalore, delving into its dissemination through media and the broader critical political economy surrounding the recent iPhone production in India. Furthermore, it incorporates a geographical perspective into the circuit framework to illustrate the movement of capital and labour in Bangalore, rekindling discussions on coreperiphery dynamics in the context of capital and labour migration. Further, this research builds upon the typography of worker-generated content by illustrating a specific category of such content within the iPhone labour dispute. Utilising a critical political economy of media approach, this article aims to assess the broader implications of the updated framework and to open new avenues for research within the emerging field of information communication technologies, cultural production and labour. 2024 South Asian University. -
Global Peace in Virtual World-Dispute Settlement Through on Line Resolution
SPC ERA International Journal of Business and Management, Vol-2 (3), pp. 1-3. ISSN-2347-9647