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Harnessing the Future: Emerging AI Trends Shaping SME Growth in Emerging Markets
With AI revolutionizing industries, SMEs in emerging markets can tap into its power for sustainable growth, operational efficiency, and enhanced customer experiences. This chapter explores AI- driven automation, predictive analytics, and personalized interactions, addressing challenges like technical skills, data availability, and cost. By adopting AI strategically, SMEs can overcome barriers, compete globally, and drive innovation, ensuring long- term success in the evolving digital economy. 2026 by IGI Global Scientific Publishing. -
On StressStrength Reliability Estimation for the Generalized Inverted Exponential Distribution Under Unified Hybrid Censoring
Stressstrength reliability (SSR) analysis plays a fundamental role in reliability engineering, particularly when lifetime data are subject to censoring due to cost or time limitations. In this article, we study the estimation of the reliability parameter (Formula presented.) when the strength (Formula presented.) and stress (Formula presented.) follow the two-parameter generalized inverted exponential distribution (GIED) under a unified hybrid censoring (UHC) scheme, which ensures both a prespecified number of failures and a bounded test duration. Classical inference is developed via maximum likelihood estimation using the EM algorithm, and the corresponding asymptotic confidence intervals are obtained. Bayesian estimation is carried out using MCMC methods under a generalized entropy loss function, along with HPD credible intervals. The UMVUE of (Formula presented.) is also derived for comparison. A Monte Carlo simulation study is conducted to evaluate the performance of the proposed estimators under different censoring scenarios. The results indicate that Bayesian methods, particularly under informative priors, often provide improved estimation accuracy in heavily censored cases. Two real data sets are analyzed to demonstrate the practical applicability of the proposedmethodology. 2026 John Wiley & Sons Ltd. -
Indian Approach to International Commercial and Investment Arbitration Vis-A-Vis Global Arbitral Institutes : A Critical Analysis
The rise of international trade and investments by the foreign states has led to increased number of contractual relationships between the parties. The world is now moving towards a new regime of dispute settlement via alternative dispute redressal mechanisms like arbitration, mediation, conciliation, and negotiation. Arbitration and Conciliation Act, 1996 and amendments in 2015, 2019 and 2021 have promoted international commercial newlineand institutional arbitration in India. The amendments provide a slight sigh of relief but do not completely cater to the global needs of making India a preferred seat for international arbitration. The title of the thesis is INDIAN APPROACH TO INTERNATIONAL newlineCOMMERCIAL AND INVESTMENT ARBITRATION VIS- A- VIS GLOBAL ARBITRAL INSTITUTES: A CRITICAL ANALYSIS . It is covering the conceptual and theoretical framework of International commercial and International Investment arbitration, evolution of arbitration laws in India, comparative study of Indian arbitral institutes with respect to Singapore, UK and USA and judicial approach in international arbitration. It also analyses the judicial approach towards arbitration regime pertaining to enforcement of awards, newlineappointment of arbitrators or interim reliefs. The judicial intervention must be minimized and there is requirement of trained arbitration personals including foreign lawyers or academicians. Provisions must be made for third party funding and consolidation of arbitration proceedings providing data privacy. This study applies doctrinal methodology and through legislations, cases study, books, articles and research papers, relevant material newlinehas been collected. Along with doctrinal methodology, the empirical methodology newline(qualitative) has been adopted whereby hypothesis has been tested to reach out the findings and to find the answers of research questions. -
Self-assembled free nanocarrier prodrugs based on camptothecin and dihydroartemisinin exhibit accumulation and improved anticancer efficacy
Small molecule targeted inhibitor therapies often have several drawbacks, including limited oral bioavailability, quick metabolism, toxic effects that limit dosage, and poor water solubility. This study aims to develop a nanodrug self-delivery system that does not require a carrier by utilizing the self-assembly of camptothecin (CPT) and dihydroartemisinin (DHA). CPT/DHA nanoparticles (NPs) with varying diameters can be synthesized without requiring further carrier materials or chemical modifications by changing the CPT-to-DHA ratio (10:1, 5:1, 2:1, 1:1). Even more crucially, CPT/DHA NPs generate an AIE impact when they self-assemble. CPT/DHA NPs are used for cell tracking and bioimaging fluorescent probes. We chose CPT/DHA NPs (2:1) with a size of approximately 140nm for the anticancer examinations. The A549 cells were used to assess the cytotoxicity, morphological changes by biochemical staining methods and apoptosis by flow cytometric techniques of CPT/DHA NPs. Finally, in vitro anticancer research proved that CPT/DHA NPs are biocompatible and have strong synergistic anticancer properties. 2024 International Union of Biochemistry and Molecular Biology, Inc. -
Energy Efficient Smart Scheduling for Multi-path Routing Using Deep Learning
Energy efficiency is a key part of networkingit saves on cost and has an environmental impact. Multi-path routing is a well-known technique used for network traffic management to make it more efficient and reliable. Unfortunately, traditional multi-path routing techniques are oblivious to energy and suffer from poor energy utilization. This paper: An approach to efficient smart scheduling for multi-path routing with deep learning. Employing a deep learning algorithm with relevant network parameters allows us to predict the lightest path for processing in/outbound data. Simulation results demonstrate that our solution guarantees higher energy efficiency than conventional algorithms while enjoying better network performance. This solution proposes the formulation of a green and sustainable networking approach. Thus, it can be better adopted as an innovative security mechanism in many practical scenarios. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. -
Sustainable Development- Adopting a Balanced Approach between Development and Development Induced Changes
The emergence of globalization has raised serious concerns and promoted ever increasing dichotomy between development and climate change issues that are borne out of such trade development plans and strategies. The sustainable development goals embark on 17 broad categories that calls upon the nations to achieve them by 2030. In order to achieve these goals the need of the hour is to make a paradigm shift from traditional trade agreements and policies to such agreements that aim to prioritize the attainment of these goals. There has to be uniform environment laws to promote intergeneration and intra-generational equity among the nations and leaving no lacuna for geographical disparity. The Artificial Intelligence can play a pivotal role in achieving sustainability by cross fertilization of technology and sustainable development leading to smart states, effective utilization of resources, green investment policies, use of eff icacious renewable energy resources, analyzing agricultural needs and prior analyses of prospective disasters. The Electrochemical Society -
Role of international commercial arbitration in resolving WTO disputes
International organizations flourished with the fragrance of effective interactions between parties and reconciliatory measures promoting amicable dispute settlement. In this scenario International Commercial Arbitration comes to the rescue of international organizations resolving multilateral, bilateral, and investment disputes between the parties, promoting sustainable development. The rationale of the article is to promote the parties towards a system of dispute redressal that is opposite to adversarial form of dispute resolution and thereby promoting an arbitration-friendly economy. Arbitration is not considered to be a preferable dispute resolution and the article provides for importance of arbitration in research gap in various research papers by using doctrinal research, analyzing articles and statutes, and providing an answer to the research question "How to promote sustainable development through International Commercial arbitration" and "How to promote arbitration-friendly environment. " This article discusses WTO dispute resolution board's novel approach to promoting arbitration. 2024 Srinesh Thakur, Anvita Electronics, 16-11-762, Vijetha Golden Empire, Hyderabad. -
Self-assembled free nanocarrier prodrugs based on camptothecin and dihydroartemisinin exhibit accumulation and improved anticancer efficacy
Small molecule targeted inhibitor therapies often have several drawbacks, including limited oral bioavailability, quick metabolism, toxic effects that limit dosage, and poor water solubility. This study aims to develop a nanodrug self-delivery system that does not require a carrier by utilizing the self-assembly of camptothecin (CPT) and dihydroartemisinin (DHA). CPT/DHA nanoparticles (NPs) with varying diameters can be synthesized without requiring further carrier materials or chemical modifications by changing the CPT-to-DHA ratio (10:1, 5:1, 2:1, 1:1). Even more crucially, CPT/DHA NPs generate an AIE impact when they self-assemble. CPT/DHA NPs are used for cell tracking and bioimaging fluorescent probes. We chose CPT/DHA NPs (2:1) with a size of approximately 140nm for the anticancer examinations. The A549 cells were used to assess the cytotoxicity, morphological changes by biochemical staining methods and apoptosis by flow cytometric techniques of CPT/DHA NPs. Finally, in vitro anticancer research proved that CPT/DHA NPs are biocompatible and have strong synergistic anticancer properties. 2024 International Union of Biochemistry and Molecular Biology, Inc. -
Natural Language Processing and Information Retrieval: Principles and Applications
This book presents the basics and recent advancements in natural language processing and information retrieval in a single volume. It will serve as an ideal reference text for graduate students and academic researchers in interdisciplinary areas of electrical engineering, electronics engineering, computer engineering, and information technology. This text emphasizes the existing problem domains and possible new directions in natural language processing and information retrieval. It discusses the importance of information retrieval with the integration of machine learning, deep learning, and word embedding. This approach supports the quick evaluation of real-time data. It covers important topics including rumor detection techniques, sentiment analysis using graph-based techniques, social media data analysis, and language-independent text mining. Features: Covers aspects of information retrieval in different areas including healthcare, data analysis, and machine translation. Discusses recent advancements in language- and domain-independent information extraction from textual and/or multimodal data. Explains models including decision making, random walk, knowledge graphs, word embedding, n-grams, and frequent pattern mining. Provides integrated approaches of machine learning, deep learning, and word embedding for natural language processing. Covers latest datasets for natural language processing and information retrieval for social media like Twitter. The text is primarily written for graduate students and academic researchers in interdisciplinary areas of electrical engineering, electronics engineering, computer engineering, and information technology. 2024 selection and editorial matter, Muskan Garg, Sandeep Kumar and Abdul Khader Jilani Saudagar chapters. -
Impact of Climate Change on Social and Mental Well-Being
Impact of Climate Change on Social and Mental Well-Being, increases the awareness and understanding of how global climate change, including natural disasters, loss of habitat, and displacement can affect social and mental well-being. This book provides valuable insights into the connection between environmental issues and mental health, and the long-term implications of these issues. Sections dedicated to adaptation and solutions, offer coping mechanisms and strategies for eco-anxiety and climate grief. This book also explores the social, economic, and political factors that contribute to climate change and how these factors impact human well-being. 2025 Elsevier Inc. All rights are reserved including those for text and data mining AI training and similar technologies. -
A study investigating the role of economic uncertainty and factors affecting futures indices mispricing
In this paper, we investigate (a) what are the factors that affect the mispricing in benchmark and sectoral indices; (b) the role of economic policy uncertainty (EPU) on the mispricing in future indices; and (c) is there any relationship between the magnitude of mispricing in future indices and the number of factors affecting it. The study deploys regression analysis on the 6930 observations during the period of 2009-2019 for three major indices i.e., Nifty, Nifty Bank and Nifty IT respectively. The study reports that (a) time to maturity and lag of mispricing affect all three indices positively whereas open interest affects Nifty Bank and Nifty IT negatively and spot volume affects only Nifty IT positively; (b) EPU affects positively to all three indices, reflecting that uncertainty increases the mispricing in the stock market; (c) magnitude of the mispricing is directly related to the number of factors affecting that mispricing. Copyright 2022 Inderscience Enterprises Ltd. -
Knee-Osteoarthritis Detection Using Deep Learning
Arthritis is a condition that causes pain, stiffness, inflammation, and other symptoms in one or more joints. It is more common in older adults and tends to worsen with age. There are different types of arthritis, but osteoarthritis is the most prevalent. A study discusses the use of Convolutional Neural Networks (CNN) for detecting knee osteoarthritis. CNN is a deep learning algorithm that can analyze data and classify images accurately, like the human brain. The purpose of this study is to classify different knee X-ray images to predict the severity of the disorder, allowing for early detection and lifestyle changes to prevent the disease from worsening. An online tool has been developed to diagnose knee osteoarthritis and provide remedies based on various K-grade predictions. This tool can help patients understand their knee's condition and take necessary measures to manage the disease. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. -
Conclusion
[No abstract available] -
The Role of Embedded Finance in Business Innovation: Technology Enablers and Industry Applications
This study explores the role of embedded finance (EF) in driving business model innovation and consumer engagement in India's digital economy, focusing on ecommerce and transportation/food delivery. EF, which integrates services like payments, lending, and insurance into non- financial platforms, is analyzed for its impact on revenue, satisfaction, and inclusion. Using case studies of Flipkart, Amazon, Ola, and Swiggy, and a survey of 250 respondents, the research shows how EF boosts convenience, conversion, and access for underserved users. However, data reveals EF alone doesn't ensure satisfaction without seamless UX and personalization. The study highlights the role of APIs and AI in delivering EF benefits while noting regulatory and privacy concerns. Findings show EF's potential to reshape business and consumer behavior in India. 2026, IGI Global Scientific Publishing. -
Exploring women centric roles in contemporary Telugu movies /
The present study deals with the scenario of women centric films in the Telugu film industry, and how the characterization of these women characters is done in the select films. The films dealt with, are chosen from the contemporary era varying from 2000-2016. Various aspects of the roles have been explored in order to elicit the importance of these characters and also their contribution to the overall plot. -
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 -
REGARDING NEW NUMERICAL RESULTS for the DYNAMICAL MODEL of ROMANTIC RELATIONSHIPS with FRACTIONAL DERIVATIVE
The main purpose of the present investigation is to find the solution of fractional coupled equations describing the romantic relationships using q-homotopy analysis transform method (q-HATM). The considered scheme is a unification of q-homotopy analysis technique with Laplace transform (LT). More preciously, we scrutinized the behavior of the obtained solution for the considered model with fractional-order, in order to elucidate the effectiveness of the proposed algorithm. Further, for the different fractional-order and parameters offered by the considered method, the physical natures have been apprehended. The obtained consequences evidence that the proposed method is very effective and highly methodical to study and examine the nature and its corresponding consequences of the system of fractional order differential equations describing the real word problems. 2022 The Author(s). -
Modified PredictorCorrector Method for the Numerical Solution of a Fractional-Order SIR Model with 2019-nCoV
In this paper, we analyzed and found the solution for a suitable nonlinear fractional dynamical system that describes coronavirus (2019-nCoV) using a novel computational method. A compartmental model with four compartments, namely, susceptible, infected, reported and unreported, was adopted and modified to a new model incorporating fractional operators. In particular, by using a modified predictorcorrector method, we captured the nature of the obtained solution for different arbitrary orders. We investigated the influence of the fractional operator to present and discuss some interesting properties of the novel coronavirus infection. 2022 by the authors. Licensee MDPI, Basel, Switzerland. -
Dynamical analysis fractional-order financial system using efficient numerical methods
The motivation of this work is to analyse the nonlinear models and their complex nature with generalized tools associated with material and history-based properties. With the help of well-known and widely used numerical scheme, we study the stimulating behaviours of the financial system in this work. The impact of parameters on price index, rate of interest, investment demand, influence changes and investment cost with respect to saving amount, and the elasticity of commercial markets demand are discussed. The consequences of generalizing the model within the arbitrary order are derived. The existence of the solution for the considered system is presented. This study helps beginner researchers to investigate complex real-world problems and predict the corresponding consequences. 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. -
The Nanoparticle Revolution in Agronomy: A New Frontier for Crop Enhancement
Rapid population expansion and environmental concerns in agriculture necessitate innovative and long-term solutions to fulfill the worlds increasing food demand. Recent nanotechnological breakthroughs have demonstrated extensive use in agricultural protection and postharvest. Engineered nanoparticles are critical for plant control, seed germination, and genetic modification. Nanoparticles might be used to distribute fertilizers, insecticides, herbicides, and plant growth regulators in a more focused and controlled manner. In the food industry, this improves crop growth and production capacity by reducing chemical-based pesticides and their water solubility, protecting agrochemicals from deterioration, enhancing soil health, and naturally controlling crop pathogens, weeds, and insects. Despite the potential benefits of nanomaterials, their full adoption in agriculture has yet to be realized, owing primarily to concerns about nanoparticle absorption, translocation, bioavailability, and ecotoxicity. Understanding the underlying mechanisms and reactions caused by nanoparticles using molecular techniques is crucial for evaluating nanomaterials biological potential. This chapter discusses nanoparticles role in enhancing plant development and soil fertility, managing plant diseases, and addressing plant and soil toxicity. It discusses nanotechnologys potential to combat abiotic stress in crops, improve growth, absorption, and translocation, and highlights critical applications for sustainable agriculture and food systems, including stress management. The importance and significance of nanotechnology in addressing agricultural and food sector difficulties and concerns, as well as the limitations and future potential of nanoparticles, are critically explored. 2025 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.