bluuebunny/crossref_metadata_2025 huggingface dataset:
AI-Driven Proactive Cloud Application Data Access Security
Authors: Neelakrishnan Priyanka
Published: April 2024

The widespread adoption of cloud applications, accelerated by remote work demands, introduces new security challenges. Traditional approaches struggle to keep pace with the growing volume of cloud applications, keeping track of their user activities and countering potential threats. This paper proposes a novel user access security system for cloud applications. The system leverages user activity tracking tied to user, device, and contextual identity data. By incorporating Identity Provider (IdP) information, Natural Language Processing (NLP), and Machine Learning algorithms (ML), the system builds user baselines and tracks deviations to bubble up critical deviations to the surface and proactively prevent further worsening in real-time, working in conjunction with security orchestration, automation, and response (SOAR) tools. Deviations from the baselines, which may indicate compromised accounts or malicious intent, trigger proactive interventions. This approach offers organizations superior visibility and control over their cloud applications, enabling proactive and real-time threat detection and data breach prevention. While real- time data collection from application vendors remains a challenge, near-real-time is made feasible today. The system can also effectively utilize IdP logs, activity logs from proxies, or firewalls. This research addresses the critical need for proactive security measures in the dynamic landscape of cloud application data security. The system will need a quarter (90 days) of learning time to ensure accurate detections based on historically gathered data and protect them for future baseline predictions on the user themselves and as well as on their peers. This approach ensures the detection is contextually aware of the organization as a whole. This research completely redefines traditional thinking with decentralized intelligence across the system that has a highly scalable microservice architecture. The proposed solution is a uniquely intelligent system where both human and artificial intelligence coexist, with the ultimate overriding control lying with humans (admin). This way, the outcomes at every stage are effective, making the overall detection and proactive security effective.
Traitement judiciaire de la violence de genre et désobéissance civile. Une analyse du discours de légitimation dans l’« affaire Juana Rivas » (25 juillet-28 août 2017)
Authors: Catherine Saupin
Published: April 2024

Le 25 juillet 2017 Juana Rivas annonça publiquement qu’elle n’obéirait pas aux injonctions des tribunaux en ne présentant pas ses enfants au point de rencontre auprès de leur père italien qu’elle avait quitté un an auparavant et qu’elle accuse de violence conjugale, puis elle disparaît avec les deux enfants pendant quatre semaines. Cet article se penche sur les arguments utilisés pour légitimer la décision prise par Juana Rivas et plus particulièrement le recours à la figure de la désobéissance civile. Il s’attache à examiner les stratégies déployées à partir d’une analyse du discours de la protagoniste, dans les lettres qu’elle a rendu publiques, et de la campagne de soutien à son égard qui fut mise en place par différents réseaux féministes et militantes de gauche au cours du mois d’août 2017 sur les réseaux sociaux (#JuanaEstaEnMiCasa) et dans la presse en ligne. Il montre comment, dans un contexte de négociation du Pacte d’Etat contre la violence de genre, les appels à la désobéissance civile, relayés non par Juana Rivas, mais par les réseaux militants, s’insèrent dans un répertoire d’action, traditionnel et novateur, visant à ouvrir un débat sur le traitement judiciaire de cette violence et sur la protection des enfants dans les cas de violence de genre. Cette contribution met ainsi en exergue une des stratégies utilisées par les féministes espagnoles pour contribuer à dynamiser les mobilisations et faire avancer leur revendication d’une justice féministe.
Du métro à la rue, de la désobéissance civile à la ‘Primera Línea’ : l’explosion sociale au Chili en octobre 2019
Authors: Jammet-Arias Nathalie
Published: April 2024

En octobre 2019, le Chili est le théâtre d’une explosion sociale qui va profondément secouer un pays réputé stable. Il s’agit, dans cet article, d’étudier cette mobilisation sociale sans précédent depuis la fin de la dictature à travers les relations entre le pouvoir et les manifestants grâce à l’analyse des réactions du gouvernement, des collaborations entre les différents groupes, des symboles utilisés dans les pratiques de résistance au pouvoir et aux forces de sécurité de l’État et du collectif constitué par la « Première ligne ». Le mouvement sera étudié de façon chronologique.
Sur la «  désobéissance poétique  »
Authors: Etienne-Greenwood Tobias
Published: April 2024

Fin 2019, un collectif d’artivistes se constitue dans la province de Mendoza en réaction à la tentative de modifier la loi 7722 qui protège l’eau et empêche, de fait, la plupart des projets extractivistes dans la région. Très vite, ce collectif occupe un rôle prépondérant dans le «  Mendozaguazo  » en diffusant la lutte sur les réseaux sociaux, mais aussi en intervenant dans l’espace public dans des actions parfois qualifiées de «  désobéissance poétique  ». À partir de données collectées sur les réseaux sociaux du collectif et de rencontres avec des militants, cet article se présente comme un moment de dialogue entre les théories de la désobéissance civile avec des mises en perspective informée par la pratique poético-esthétique des membres de ce collectif.
Construction visuelle de la désobéissance civile : l’exemple de Tsunami Democràtic
Authors: Thouverez Ludivine
Published: April 2024

Cette contribution s’intéresse à l’utilisation de l’image dans la stratégie de communication mise en place par le mouvement souverainiste catalan Tsunami Democràtic à l’automne 2019. Fondée sur les apports théoriques de Michael Halliday en linguistique systémique fonctionnelle et de Gunther Kress et Theo van Leeuwen en communication visuelle, cette étude montre que les images publiées sur le réseau social Twitter ont constitué un puissant outil de persuasion et que la représentation des acteurs sociaux engagés dans le Procés avait pour double objectif d’encourager la désobéissance civile et d’attirer l’attention de l’opinion internationale sur la situation politique en Catalogne.
Intelligent Natural Language Processing for Epidemic Intelligence
Authors: Croce Danilo , Borazio Federico , Gambosi Giorgio , Basili Roberto , Margiotta Daniele , Scaiella Antonio , Manso Martina Del , Petrone Daniele , Cannone Andrea , Urdiales Alberto Mateo , Sacco Chiara , Pezzotti Patrizio , Riccardo Flavia , Mipatrini Daniele , Ferraro Federica , Pilati Sobha
Published: April 2024

Epidemic Intelligence activities depend significantly on analysts’ ability to locate and aggregate heterogeneous and complex information promptly. The level of novelty of the targeted information is a challenge. The earlier events of interest are located the larger the benefit: more accurate and timely warnings can be made available by the analysts. In this work, the role of Natural Language Processing technologies is investigated. In particular, transformer-based encoding of Web documents (such as newspaper articles as well as epidemic bulletins) for the automatic recognition of events and relevant epidemic information is adopted and evaluated. The resulting framework is configured as a domain-specific meta-search methodology and as a possible basis for a novel generation of Web search environments supporting the Epidemic Intelligence analyst.
Corpo, clínica e educação inclusiva: da clinicalização à visibilização da deficiência
Authors: Pagni Pedro Angelo , Martins Vanessa Regina de Oliveira
Published: April 2024

A clínica teve influência significativa na constituição do campo da Educação Especial no Brasil. Com a emergência da educação inclusiva, alguns de seus procedimentos, tecnologias e saberes especializados passaram a ser problematizados pelo caráter restritivo ao corpo orgânico e à individualização de seus tratamentos. Conjuntamente à medicalização, esses últimos colocavam em xeque uma perspectiva inclusiva para a educação, sobretudo, aquela pautada em um paradigma social. Esse artigo procura contribuir para tal debate à luz da perspectiva foucaultiana. Pautados em algumas discussões de “O Nascimento da Clínica”, objetivamos elaborar indicações sobre a emergência de saberes que concorreram para a clinicalização do referido campo, tendo em vista, particularmente, os corpos chamados deficientes. Interessa-nos debater, genealogicamente, em que medida de tais corpos, para além desse seu registro, não provém forças afirmativas de sua singular existência, inscrevendo sobre si as diferenças.
Literature Review on Supply Chains Optimization Using Multi-Agents Communication and Collaboration
Authors: Khiloun Imad Eddine , Belmabrouk Karima , Dekhici Latifa
Published: April 2024

This book chapter provides a concise yet comprehensive exploration of supply chain optimization through a multi-agent approach. Spanning historical foundations to contemporary intelligent methodologies, the literature review examines communication, collaboration, and coordination methods between agents. The analysis reveals achievements and challenges, emphasizing the pivotal role of intelligent agents in enhancing decision-making and adaptability. The chapter serves as a valuable resource for researchers and practitioners, offering insights into the dynamic landscape of supply chain management within the context of multi-agent systems. Through this exploration, the chapter contributes to shaping the future of resilient and efficient supply chain networks.
Adaptive Strategies for the Global Cargo Industry in Uncertain Times
Authors: G. Karpagavalli , K. G. Hemalatha
Published: April 2024

The global cargo shipping market size is projected to reach $4.2 trillion by 2031, growing at a CAGR of 7% from 2022 to 2031. Presently, the cargo shipping industry is dominated by Asia-Pacific and it is expected to maintain its dominance in the global market, particularly in China, South Korea, and Japan due to some distinct advantages. In recent years, Asia's supply chains have been evolving rapidly in response to several major trends, making them even more vulnerable to external shocks. As a result, one of the most pressing demands for logistics management to strengthen the supply chain is to have technologies in place to improve cargo visibility. Today's supply chain management teams must focus on achieving the agility needed to create resilient supply chains. Each uncertainty reveals to understand the weaknesses of a system and its ability for resilience. This book chapter covers the global and Asia's cargo industry, the major risks associated with the cargo supply chain and the adaptive strategies to manage the uncertain times.
Navigating Sustainability
Authors: Bhandari Prajita
Published: April 2024

This chapter examines the intricate balance between economic progress and environmental conservation in the Nepal-China medicinal plant trade. Analyzing historical perspectives and the current trade scenario, it highlights the economic significance and diverse species involved. Conservation concerns are paramount, focusing on sustainable trade practices to maintain biodiversity. The work underscores the impact of Chinese consumer trends, industrialization, and globalization on demand. It delves into sustainable sourcing, emphasizing ethical harvesting and community engagement, which are crucial for preserving natural resources and supporting local economies.
A Strategic Perspective Analysis of Educational Transformation in Higher Education Institutions in the Middle East and Africa
Authors: Jonathan Henry , Magd Hesham
Published: April 2024

Higher educational institutions globally have gone through phenomenal changes due to the COVID-19 pandemic. Teaching and learning were disrupted and moved from face-to-face classroom to online mode. Educational institutions in the Middle East and Africa were challenged during this transformational phase that has demanded digital technology and automation in education. The study intends to understand how the educational sector in the middle east and Africa have responded to the demands of technology, as well from the pandemic crisis. Information from various sources and studies published by researchers are referred and analyzed to achieve the objectives of the study. The outcomes reveal that educational institutions have suffered in manifold ways but had profound impact on the Middle East and Africa regions. As a result, transformation in teaching and learning styles moved towards being digitally enabled, requiring built-in infrastructure and investments on technology.
Empowering Excellence
Authors: Khadar Amiya Abdul , Kansra Pooja
Published: April 2024

Faculty development programs (FDPs) play a vital role in empowering educators and improving academia's dynamic realm. It is considered the lifeblood of many educational institutions as it helps to nurture the institution's growth and vitality. The present study examines the importance of faculty development programs in the accreditation of higher education institutions. A systematic literature review was conducted to identify the main factors that are needed in faculty development programs and how they impact the accreditation of institutions. Previously published studies that talked about the same were used for the study. Three main online databases were used for finding previously published papers: Scopus database, JSTOR, and Google Scholar. The search was without any time restriction to include a broad range of research. Study found that FDPs play a very important role in empowering educators to not only meet accreditation requirements but also to exceed them, thus ensuring that educational institutions remain at the forefront of educational excellence in the 21st century.
The Hidden Wonders of Annatto Seeds
Authors: Khan Mahrukh , Khan Mahnoor , Khan Mehrab , Javaid Hafsa , Touseef Imran , Zengin Gokhan
Published: April 2024

Annatto seeds are harvested from the evergreen shrub Bixa orellana Linn, also known as the annatto plant. The historical and cultural relevance of annatto seeds as a natural source of sauces, colors, and traditional medicines explains its ethnobotanical value. These seeds are important for Native Americans as they use these seeds to dye clothes, food, and their bodies. The phytoconstituents of annatto seeds include apocarotenoids, carotenoids, volatile oils, terpenes, and terpenoids. Bioactive substances like bixin and nor-bixin have excellent antioxidative properties. Annatto seeds have proven antibacterial, anticancer, antifungal, and antidiabetic properties, making them versatile therapeutic agents in modern medicines. Their cultural and historical significance as a natural resource has resulted in improved comprehension of their medicinal potential. The thorough examination of annatto seeds in this work highlights their ongoing significance in the changing fields of ethnobotany and contemporary science and illuminates their wide-ranging applications.
Ethnobotanical, Pharmacological, and Therapeutic Importance of Basil Seeds Along With Their Role in the Biogenic Synthesis of Important Chemical Substances
Authors: Javaid Hafsa , Khan Mahrukh , Khan Mehrab , Kanwal Javeria , Asghar Maryam
Published: April 2024

The plant world is a significant source of remedies for various illnesses, with 80% of developing nations using herbal medicine. Research is focused on the discovery of safer and more effective medicinal drugs, particularly in the screening of herbs for pharmacological activity and phytochemical ingredients. Ocimum basilicum, a common plant known for its beauty and medicinal properties, is a key focus. Its leaves are used as expectorants, demulcents, emmenagogues, and exhilarants, and its leaves are often aromatic, fragrant, and antibacterial. Basil seeds are also used as a plant seedling growth agent and an edible film that decomposes naturally. This study on basil seeds' chemical composition, nutritional value, and medicinal properties will help identify research gaps and provide an overview for future opportunities.
Pomegranate Seeds
Authors: Seher Sayeda Sania , Ali Nida Ali
Published: April 2024

Pomegranate (Punica granatum) seeds are famous for their rich phytochemical composition, especially for antioxidant polyphenols. The therapeutic potential of pomegranate seeds and their bioactive ingredients is discovered in this abstract. The main bioactive components of pomegranate seeds like polyphenols, ellagic acid, and anthocyanins, exhibit antioxidant qualities. These components are crucial for neutralizing dangerous free radicals, which reduces inflammation and oxidative stress. Pomegranate seeds have a variety of therapeutic advantages. These include benefits that are neuroprotective, cardioprotective, anti-diabetic, anti-inflammatory, and anti-cancer. Pomegranate seeds also have antimicrobial qualities, improve immunological function, and regulate lipid metabolism. Promising indications have been presented by experimental research and trials to support the health-promoting properties of pomegranate seeds. These studies suggest possible uses in the treatment and prevention of diseases like diabetes, cancer, heart disease, metabolic disorders, and neurological disorders.
Unveiling Interplay Between Physical and Digital Barriers to Program Access and Women Empowerment
Authors: Sinha Harsh , Kailashpati  , Raj Rahul
Published: April 2024

Bihar is a dynamic society with a considerable influence on the Indian policy framework due to the presence of Bihari settlers covering almost all regions of the country and abroad due to the opportunity deficit in Bihar. To address developmental lags and implementation challenges for women empowerment through a sustained combination of intra and inter-societal issues, the Bihar government has conceptualized 'Sashakt Mahila, Saksham Mahila' in the second part of its flagship scheme of ‘Saat Nischay Yojna' envisaged by the Chief Minister of Bihar. This chapter aims to explore the interplay of multi-dimensional barriers to bottom-top and top-bottom approaches to women's empowerment, which are acting as impediments to women's self-reliance in financial, socio-cultural, digital, and political spheres. Data were collected from three villages of Bihar, accounting for 15 respondents, using a semi-structured interview. The study found significant positive associations between schemes launched by the Bihar Government to empower women and their financial and social status. The research revealed that the effective implementation of policies aimed at promoting women's welfare remains a considerable challenge, particularly in light of the prevailing circumstances in rural Bihar with multitude of issues, collectively hindering women's empowerment in real terms. This study showed how the barriers to women impede their empowerment and will help in associating the challenges faced by women and where there needs to be more work to be done.
AI Voice Assistant for Smartphones With NLP Techniques
Authors: Kiwa Fungai Jacqueline , Muduva Martin , Masengu Reason
Published: April 2024

The AI voice assistant mobile application was developed to aid drivers in operating their mobile phones while driving without touching their phones. The literature review examines multiple innovative artificial technologies involved in applications with voice assistants in natural language processing (NLP) techniques. The methodology used involved a qualitative approach, and the design science paradigm was used for the development of the voice assistant for smartphones with NLP techniques. NLP techniques that were applied in the development of the AI voice assistant are smart synthesis, data flow sequence, core and interface accessing, part of speech tagging, named entity recognition, conference resolution, and porter stemming. Some of the operations that are achieved by the application include arithmetic calculations based on voice commands and returning the computer result via voice, searching the internet based on user voice input, and providing a response via voice assistance.
Artificial Intelligence (AI) Algorithms in Nigeria's Integrated Marketing Communications
Authors: Adeyinka Kehinde Iyioluwa , Takunda Chiwaridzo Option , Adeyinka Taye Iyinoluwa
Published: April 2024

This chapter looks at using artificial intelligence (AI) algorithms in Nigeria's integrated marketing communications (IMC) landscape. Despite its early stages, AI technology is steadily making inroads into the country's marketing sector, providing prospects for increased customer involvement, data-driven decision-making, and individualized marketing methods. The chapter investigates the use of AI algorithms in IMC techniques, such as data analytics, personalized marketing campaigns, content optimization, predictive analytics, chatbots, ad targeting, customer relationship management (CRM), and market automation. It also analyzes the problems and opportunities connected with AI adoption in Nigeria's IMC industry, including infrastructural constraints, data privacy concerns, a skills vacuum, and the possibility for innovation and competitive advantage. Understanding the current state and prospects of AI algorithm usage in Nigeria's IMC business allows stakeholders to navigate the changing landscape better and capitalize on the transformation potential of AI technology for marketing success. The study seeks to provide significant insights on the prevalence, causes, and challenges to AI adoption, as well as the implications for marketing effectiveness and competitiveness in Nigeria. By shedding light on the dynamics of AI algorithm adoption in Nigeria's IMC sector, this study contributes to scholarly understanding, practical applications, and informed decision-making in leveraging AI technologies for marketing success in Nigeria's dynamic and increasingly digitalized marketplace.
Customer Lifetime Value Prediction Using Survival Analysis
Authors: Hondoma Thanks
Published: April 2024

The study explores the integration of survival analysis into customer lifetime value (CLV) prediction, focusing on the cox proportional-hazards model as a theoretical foundation. The study reveals enhanced CLV prediction accuracy by accommodating covariates and dynamic factors, showcasing the effectiveness of survival analysis. Social exchange theory, information processing theory, and customer relationship management theory further contribute to understanding customer interactions. Recommendations emphasize leveraging the Cox model's adaptability, continuous exploration of temporal dynamics, qualitative data integration, and personalized marketing refinement. Limitations underscore data quality importance, and suggestions for further research include diverse survival analysis models and machine learning integration. The conclusion highlights survival analysis's sophisticated evolution, providing nuanced insights for proactive and adaptive customer relationship management.
Quality of Online Customer Service at a Telecommunication Company in Zimbabwe During the COVID-19 Pandemic
Authors: Mamwadi Samuel , Bigirimana Stanislas
Published: April 2024

This study sought to assess the quality of online customer services at a Telecommunication company in Zimbabwe. Data was collected through an online and physical questionnaire and the researcher adopted a mixed approach. The data collected was analyzed using descriptive statistics. The study was carried out using systematic random sampling. The study shows that the level of quality of online customer service of the organization is good and there are four main dimensions that have a high impact on online service quality, and these are website design, security and privacy, empathy, ease of use, and fulfillment. However, the study also noted that although the organization's online service quality was rated generally satisfactory, they need to look at three dimensions that need significant improvement that is, responsiveness, reliability, security, and privacy.
The Application of Mathematical Formulas in Teaching Linguistics Among STEM Learners in Higher Learning Institutions
Authors: Okal Benard Odoyo
Published: April 2024

The chapter focuses on mathematical formulas used to teach linguistics aspects amongst STEM learners. Though mathematics is used in teaching sciences and technology-related disciplines, its formulas are also applicable in teaching arts and social sciences such as linguistics, geography, history, economics, fine arts, commerce, psychology, physical education, sociology, political science, anthropology, public policy, and communication studies among others. Mathematical formulas applicable in teaching selected aspects of linguistics to STEM-inclined learners include sonority scale index and XY axis (for phonetics and phonology); tree diagrams and basic square roots (for morphology and syntax); mnemonics and word root schemata (for vocabulary learning); equal sign (a = b) (for synonymy analysis); pictograms (for polysemy); exponential formula (xn) (for the presentation of homonyms); number lines (for gradable antonyms); and set theory formula, arithmetic addition (X+Y), and X is greater than Y (for meronymy and hyponymy presentation).
Comprehensive Survey of Adaptive and Intelligent Education System Using Reinforcement Learning
Authors: Roayaei Mehdy
Published: April 2024

Adaptive and intelligent educational systems (AIES) have the potential to revolutionize learning by personalizing the educational experience for each student. This chapter presents a comprehensive survey of the application of reinforcement learning in AIES. The authors discuss the use of reinforcement learning to formulate personalized learning plans and pedagogical policies. The chapter also explores the integration of reinforcement learning to build intelligent environments that provide personalized learning recommendations based on students' cognitive attributes and learning styles. By reviewing contemporary work and historical contexts, this survey aims to provide a thorough understanding of the role of reinforcement learning in shaping the future of AIES.
Navigating Tomorrow
Authors: Sidhu Navpreet Kaur , Gupta Swati , Sharma Sachin , Singh Mandeep
Published: April 2024

In the last two decades, the Internet and its foundational technology have significantly impacted and transformed nearly every facet of human life. The landscape of wealth management is transforming as technological advancements pave the way for integrating Robo-advisors. “Navigating Tomorrow: The Uncharted Frontier of Robo-Advisors in Wealth Management” explores the dynamic intersection of finance and artificial intelligence, delving into the multifaceted implications, challenges, and opportunities presented by the rise of Robo-advisory platforms. It provides a comprehensive examination of the evolution of Robo-advisors, from their inception to their current state, discusses the business models that are shaping the future of wealth management. It also addresses the critical considerations surrounding regulatory frameworks, ethical concerns, and cybersecurity issues in the context of Robo-advisory platforms. Understanding their potential risks and rewards is imperative for industry professionals and investors as these digital financial advisors continue to gain prominence.
Trends in Fintech
Authors: Güleç Murat , Hazar Adalet , Babuşcu Şenol
Published: April 2024

Fintech, the convergence of finance and technology, fuels innovations and insights in the financial services industry. Rapidly evolving, it offers solutions making financial services more accessible, efficient, and user-friendly. Forecasts suggest significant revenue growth, with the sector poised to reach $1.5 trillion by 2030. Key trends driving this expansion include mobile payments, blockchain, AI and ML, digital banking, robo-advisors, biometric security, Insurtech, and regulatory advancements. These innovations reshape banking, payments, investment, and transactions, marking a transformative era in financial services fueled by digitization and technological advancements.
Impact of Financial Literacy Towards ESG Investing Among Salaried Employees
Authors: Misra Abhishek , Bohra N. S. , Sharma Manu
Published: April 2024

Environmental, social, and governance (ESG) investment has become eminent among ethical and sustainable investors as the financial landscape changes. Socially responsible asset preservation and expansion are essential for salaried employees who have built wealth over their careers. The study examines how the perceived usefulness of Robo-advisors mediates the relationship between financial literacy and ESG investment practices among salaried people. The correlation between the rise in financial literacy and the adoption of ESG investments highlights the necessity for focused educational programs to improve financial literacy through Robo-advisors among salaried people. Financial institutions, policymakers, and educators seeking to improve financial well-being and promote sustainable investment practices in a dynamic financial landscape can benefit from finance and ESG investing findings.
Robo-Advisors
Authors: Sethi Alpa , Jangir Kshitiz , Kukreti Mohit
Published: April 2024

Artificial intelligence (AI) and automation are also becoming increasingly prevalent in the business landscape. Even, such technologies have streamlines important HR functions to reduce tedious manual work. In every company, employees are highly concern about their payroll, perks, financial benefits, investment plans. HR department also gives more focus on making employee feel best physically, mentally, and financially. But it's a big challenge for HR to overcome with financial as well as investment worries of employees as different employees have different financial priorities and goals. Hence, providing access to such investment platform is a crucial element of a well-designed financial wellness programme. It can provide employees with a peace of mind for their financial future, make them feel more valued at work. Such innovative benefits can help to attract talented employees. This paper will discuss on role of robo advisor in HR functions. Also review its contribution in future HR strategies and growth of organization.
The Utilisation of Artificial Intelligence (AI) Application on Climate Change Alleviation and Adaptation in India
Authors: Srivastava Ambar , Kumari Geeta
Published: April 2024

The main aim of this chapter is to explore the use and application of artificial intelligence in climatic change alleviation and adaptation in India. The country's growth is directly impacted by climate risks, which have further impacted investments and sustainable development. Artificial intelligence is one of the rapidly growing technologies that can help with the problems caused by climate change. According to the study, artificial intelligence (AI) can support efforts to mitigate and adapt to climate change in four important ways. They are as follows: simplifying complex systems, advanced scientific modeling and simulations, forecasting and prediction, and big and raw data analysis. This chapter also explored the knowledge about why AI is developing so rapidly and having a prone impact on climate change. It also explores information about AI's impact on climate change in both terms (i.e. positive and negative aspects). The chapter will suggest and explore knowledge about the roadmap for the future of AI and climate change.
The Societal Impact of Artificial Intelligence in Sustainable Investment Strategies
Authors: Behera Itishree , Nanda Pragyan , Derbali Abdelkader Mohamed Sghaier
Published: April 2024

Integrating AI into sustainable investment strategies transforms the financial industry and positively impacts society. AI Integration empowers investors to make informed decisions with advanced data analytics, machine learning algorithms, and predictive modeling, thus directing capital towards environmentally and socially responsible projects. Furthermore, AI algorithms enable real-time monitoring and evaluation of companies' ESG performance by promoting transparency and accountability. This chapter explores the societal implications of AI-driven sustainable investments, including enhanced effectiveness, democratization, transparency, and accountability. It attempts to provide an outline that emphasizes the significance of proactive policies, ethical guidelines, and ongoing conversation between the AI and sustainable finance communities. This chapter further highlights the importance of maintaining a balance between technological innovation and societal well-being, ensuring that AI serves as a stimulus for positive and sustainable change.
Next-Gen Pharma
Authors: Tripathi Rati Kailash Prasad
Published: April 2024

Modern drug discovery has undergone a profound transformation with the emergence of computational methodologies. This chapter provides an overview of computational drug discovery, a dynamic and interdisciplinary approach that harnesses the power of computers and advanced algorithms to expedite development of potential therapeutic compounds. Integration of techniques like ML and AI has streamlined early drug development stages. Leveraging bioinformatics, chemoinformatics, molecular docking, MD simulations, and quantum computing to analyze vast datasets, detect patterns, and predicting biological activities with precision has surpassed traditional methods, reducing time and cost associated with drug development. to maximizeitates personalized medicine by considering individual genetic variations and disease profiles, tailoring treatments to specific patient populations for maximized therapeutic outcomes. However, the field is not without its challenges, including issues related to data quality, model accuracy, and overall complexity of biological systems.
Big Data Management and Analytics in Drug Research
Authors: Naithani Kanchan , Tiwari Shrikant , Tyagi Amit
Published: April 2024

Big data plays a crucial role in drug discovery, simplifying and streamlining the complex process by leveraging large datasets in both chemical and biological aspects. From target validation to clinical trials, big data aids in various stages of drug development, enhancing efficiency and support through AI applications. This integration of big data with AI tools significantly improves the drug discovery process, making it less time-consuming and more effective. The chapter explores the significance of big data in drug research, emphasizing its application in hit identification for therapeutic targets and the success stories associated with screening platforms. It delves into the foundations of big data in drug research, elucidating its significance, challenges, and potential, while navigating through the intricacies of data collection, integration, storage, and management. It highlights the importance of data quality, security, and governance.
Application of Molecular Modeling Techniques to Investigate Phytochemicals as Prospective Anti-Malarial Agents
Authors: Satpathy Raghunath
Published: April 2024

Malaria is a vector-transmitted disease and contributes significantly to mortality rates worldwide. However, utilizing the available synthetic antimalarial compounds is challenging due to their association with drug resistance and their potential to cause side effects on human health. Based on these limitations, natural products (phytochemicals) from medicinal plants are used as alternative therapies. Due to the greater diversity in medicinal plants and phytochemicals, screening for suitable anti-malarial agents is a difficult task. As a result, computer-aided molecular modeling methods are being used widely as an integral part of the anti-malarial compound discovery process. This chapter highlights the range of phytochemicals and plant sources that have been studied as anti-malarial agents to combat infection of Plasmodium falciparum. In addition, the overview of the important molecular modeling methods, software tools, and databases has been illustrated. Also, the application of these molecular modeling methods to expedite the plant-based anti-malarial drug discovery process area has been reviewed.
Emerging Technologies in Drug Discovery for Providing Efficient Services to Patients
Authors: Hemamalini V. , Jeyaselvi M. , Savitha S. , Tyagi Amit Kumar
Published: April 2024

This chapter examines the current landscape and future prospects of emerging technologies in drug discovery, focusing on their potential to provide efficient and innovative services to patients. The integration of technologies such as artificial intelligence (AI), machine learning, high-throughput screening, and advanced analytics is reshaping the drug discovery process, promising accelerated development timelines and improved therapeutic outcomes. AI and machine learning algorithms play a pivotal role in data analysis, aiding in the identification of potential drug candidates, target validation, and predictive modeling. High-throughput screening technologies enable the rapid testing of large compound libraries, expediting the identification of lead compounds and optimizing drug development pipelines. Additionally, advanced analytics facilitate the interpretation of complex biological data, enhancing our understanding of disease mechanisms and drug interactions. The convergence of these technologies holds immense promise for personalized medicine.
Role of AI and Futuristic Technology in Drug Discovery for Smart Hospitals
Authors: Ahmad Sayed Sayeed , Ghalib Muhammad Rukunuddin , Gallimore Michael , Al-Mousa Atheer
Published: April 2024

The rapid evolution of technology and artificial intelligence (AI) growth have changed the healthcare sector, particularly in drug discovery. Smart hospitals, which are equipped with advanced technologies, are at the forefront of using AI to implement and enhance the drug discovery process. Within the context of smart hospitals, this chapter discusses the crucial role that AI and cutting-edge technologies have played in revolutionising drug discovery. Integrating AI in drug discovery processes allows for efficient analysis of large datasets, accelerating the identification of potential drug candidates. Furthermore, the convergence of futuristic technologies fosters a more agile and responsive drug discovery ecosystem, ultimately leading to the timely introduction of innovative therapies. This chapter discusses the critical use of AI, quantum computing, and blockchain and their role in automation via revolutionising drug discovery. This will make future researchers more efficient, cost-effective, etc., for future pharmaceutical advancements.
Antibacterial Tri-Herbal Face Cream
Authors: Morusu Keerthana , Javvaji Praveen Kumar , Shaik Karishma , Shaik Sabiha Sulthana , Bacham Jayavani
Published: April 2024

In-view of searching treatment strategies for acne herbal remedies were found prolific and can fulfill all the criteria in this regard. The combination of two or more herbs leads to gain more effectiveness in the treatment. In this present research exploration Cream prepared with herbal extracts of Curcuma aromatica, Curcuma zedoria and Psorylia corylifolia. Phytochemical characterization of all three extracts was performed. Factorial designs used for optimization. Effects of independent variables of formulation on responses were also studied and nine different formulations were evaluated for parameters like pH, spreadability, viscosity and anti-bacterial activity. Results revealed that phytoconstituents like alkaloids and flavanoids were present in all three extracts. Among nine formulations, PHF8 was found to be the best based on in-vitro evaluation. The herbal cream was proved its efficacy against both gram positive and gram-negative bacteria, but effectiveness is found to be different for different bacteria. Hence the prepared herbal cream would become a promising treatment option for acne.
Regulatory Approval and Challenges in the Digital Era
Authors: Khristi Avani P. , Gupta Vanshika
Published: April 2024

In the pharmaceutical industry, the regulatory landscape has evolved significantly, influenced by historical tragedies and pivotal figures such as regulatory strong holds. The introduction of regulations like the 1962 drug amendments in the United States revolutionized drug regulation, emphasizing safety and efficacy standards. The adoption of the common technical document (CTD) format and its electronic counterpart, the eCTD, has streamlined regulatory submissions globally. However, the digital era presents new challenges and opportunities, including the integration of digital tools like big data analytics and artificial intelligence (AI) into drug development and regulatory processes. Despite the potential benefits, challenges such as data protection, compliance, and regulatory adaptation to emerging technologies remain. The future of regulatory affairs lies in harnessing digital innovations while ensuring the integrity and credibility of the approval process, requiring collaboration between stakeholders and adaptation to evolving technologies.
Tourism and Sustainable Development Goals
Authors: Bora Rahul , Sharma Aditya , Rout Himanshu Bhusan , Kumar Pankaj
Published: April 2024

Tourism is a global industry that is increasingly recognised for its intricate relationship with the Sustainable Development Goals (SDGs). This chapter aims to conduct a comprehensive bibliometric analysis (performance analysis and science mapping), employing software such as VOSviewer and R Studio to unravel the scholarly landscape on the interplay of tourism and SDGs. Using the SCOPUS database, the study collected bibliographic data related to articles on tourism and SDGs. R Studio was utilised for performance analysis, and VOSviewer was employed for science mapping and network analysis. Contributing valuable insights for researchers, practitioners, and policymakers by providing a nuanced understanding of the scholarly landscape of tourism and the SDGs the study guides future research by highlighting the interplay of tourism and SDGs and fostering sustainable tourism practices aligned with SDGs.
Harmonizing Tourism and Sustainability
Authors: Islam Tariqul , Kumar Jeetesh , Pandey Uma , Kashyap Sachin
Published: April 2024

Tourism's rapid expansion presents both opportunities and challenges for sustainable development. This chapter explores the intricate relationship between tourism and sustainability, aiming to identify pathways towards harmonization. This chapter presents the interconnectedness of economic, environmental, and socio-cultural factors shaping tourism's impact. The study delineates critical challenges and opportunities, emphasizing the need for innovative solutions to reconcile conflicting imperatives. Objectives include examining the dynamics between tourism and sustainability, identifying challenges, delineating guiding principles, and providing recommendations. By addressing these objectives, the study contributes to a deeper understanding of sustainable tourism and provides actionable insights for policymakers, industry stakeholders, and destination communities. Ultimately, it advocates a paradigm shift towards tourism practices prioritizing environmental conservation, cultural preservation, and community well-being.
Role of Neuroleadership Through Effective Communication in Organization and Employee Development
Authors: Sharma Deepa , Jindal Priya
Published: April 2024

Effective leadership affects not just the level of the job but also the well-being and morale of the workforce. By utilizing cutting-edge technology, neuroleadership seeks to enhance employee performance, productivity, and personal growth for the company and its members. By creating a psychologically secure setting that reduces danger reflexes in the brain, neuro leaders encourage open communication without worrying about the consequences. Neuroleadership is a new field that combines leadership development with scientific knowledge. Applying neuroscientific ideas can help leaders connect with their teams and communicate more effectively. Neuroleadership motivates workers to perform better at work by rewiring their brains. This chapter focuses on how neuroleadership motivates employees and how they deal with problems at work. Additionally, neuroleadership aids firms in boosting employee productivity by identifying possible biases, assessing them to inform decisions, and selecting staff members in line with that potential.
Neuroleadership
Authors: Kumar Ashutosh , Rajhans Rajni Kant
Published: April 2024

The chapter aims to map the decisive and crucial changes that have taken place in the realm of managerial leadership, specifically in the context of concepts of neuroleadership and ethics. This chapter argues that the traditional hierarchical model, characterized by a boss and subordinates, has been replaced with a contemporary notion of a more egalitarian work environment that emphasizes the recognition and appreciation of group contributions. The chapter contends that this shift in mindset signifies a departure from traditional concepts of authority and becomes more complicated in the backdrop of neuroleadership. The prominent question arises that while neuroleadership itself caters to neither an ethical or unethical position, its objectives implicate the questions of appropriate application of empathy and cognitive justice on the part of the leaders.
Building Global Competencies Transcending the Traditional Pedagogical Practices
Authors: Ottman Carolyn Kelly Sue , Delina G.
Published: April 2024

Thanks to globalization and the rapid growth of multinational corporations with diverse workforces, the need for knowledgeable and culturally insightful global leaders has increased. As a result, there is a parallel expectation from universities to develop these competencies. Based on the collaborative experience of two faculty from the United States and Indian universities, and ground in literature, this chapter proposes a triangular learning framework to build global acumen. Faculty-to-faculty reciprocate collaborative learning enhances cultural awareness, while recognizing potential bias, in teaching design and delivery. Placing a global overlay on technology enhanced management courses, while utilizing experiential learning, results in the development of global knowledge and skills. New ways of teaching-learning, assessments, design and delivery of curriculum, and also, gaining broader perspectives of thinking, listening, and acting in the global world emerge as faculty shift from a traditional model of faculty shadowing/mentoring to a collaborative model.
Delineating the Importance of Signals and Enablers in a Career Ecosystem
Authors: Nimmi  , Muralee Krishnan  , Anjali A.
Published: April 2024

This chapter aims to understand the employability enhancement initiatives undertaken by developing nations as an agenda/policy to leverage the benefits of a growing young population and to have a competitive advantage in the socio-economic spheres. This chapter conceptualizes the socioeconomic and political ecosystem as a source of enablers that can augment the quality of signals created by employment seekers and prospective employers. The proposition is based on the background of reports on the enhanced employability of graduates in India.