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Lilliputians' dilemma: Survival strategies of small states in South Asia
One of the most striking features of contemporary international politics is asymmetrical power relations among states. With the birth of the United Nations, the sovereign equality of the states began to be fully respected, at least in principle. During the Cold War, small states gained much importance when superpowers tried to co-opt them. Small states situated in specific geo-strategic areas were seen as 'assets' or 'trouble spots' depending on their ideological leaning. 1 Given the fact that small states constitute majority in terms of numbers in global politics, but at the same time facing numerous politico-security and economic issues, several interesting questions arise. Do small states feel secured in regional and international politics dominated by big and middle powers? What survival strategies do they adopt to secure themselves? How does this translate to South Asian region that is commonly viewed as 'India-dominant'? Do small states of South Asia follow similar or differing strategies to safeguard their security? South Asia offers a right case to look at the issue of survival strategies of small states in regional politics from both theoretical and empirical contexts. 2024 selection and editorial matter, Adluri Subramanyam Raju and R. Srinivasan. All rights reserved. -
Punching above the weight? Role of Sri Lanka in BIMSTEC
[No abstract available] -
Terrorism And Regional Cooperation: What is SAARC up to?
South Asia has the distinction of being one of the most affected regions by terrorism and political violence. It is also one of the least integrated regions in the world. Terrorist threats have been diverse, characterised by religious fundamentalism, separatism, left-wing extremism and transnationalism. Interestingly, the countries of the region, under the umbrella of the South Asian Association for Regional Cooperation (SAARC), possess various regional arrangements to counter terrorism. Yet, the problem of terrorism continues unabated in the region. The principal question is, despite the existence of numerous arrangements, what factors hinder counter-terrorism cooperation among the countries at the regional level?. 2022 selection and editorial matter, Adluri Subramanyam Raju. -
Connectivity between India and Sri Lanka: A model for South Asia
India-Sri Lanka bilateral ties pervade in almost all areas despite various ups and downs. In the age of globalization, connectivity is crucial in maintaining and enhancing relations. Realizing this, India and Sri Lanka have invested in connectivity in four broad areas: physical, cultural, information and communication technology (ICT), and economic. Physical connectivity presently exists through air and sea; given the proximity, land connectivity would benefit the common man on both sides. Cultural connections go back centuries and have received an institutional framework of late. ICT linkage is emerging but highly promising in terms of public-private involvement. With components of trade and investments, economic connectivity faces tough competition from extra-regional powers like China. On the way forward, challenges abound and require patience and maturity in policy making and its implementation in both countries. 2020 Elsevier Inc. All rights reserved. -
Individual and Community Interests: A Critical Analysis with the Help of Gandhian Philosophy
The chapter tends to contribute more towards the debate on individual and community interests. It broadly explains both the concepts by analysing their interdependence and importance and gives readers a competitive critical analysis of the stance taken by different western philosophers and Gandhi on it. The chapter comes out in five major heads and commences by explaining the intricacies of the debate between the two in its first segment. The second part of the chapter puts forward the western framework of ideas and brings into picture various philosophers of the west and their ideologies on the subject. The third section sketches out an analysis of individual and community interests from Gandhian lens and throws light on various ideas promulgated by him such as satyagrah, Swaraj (self-governance), Sarvodaya (rise of all), Ekadash Vrat (eleven principles). The fourth head talks about the role of these ideas in addressing the conflict between the two interests that exist in society. It concludes by drawing out how Gandhian ideology acts as a guiding light to bridge the gap between the two contrasting ideas of individual and community interests. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022. -
Fishing in the Troubled Waters: Fishermen Issue in IndiaSri Lanka Relations
Indias relations with its neighbours in the maritime domain have received less scholarly attention. Those studies that deal with Indias relations with its South Asian neighbours generally touch on political security, socio-cultural and economic issues. The maritime aspect is either ignored or tucked in as a part of other dimensions. The present study attempts to fill the gap in the literature by taking up the case of Sri Lanka. Sri Lanka is chosen as a case, not only because the island state is Indias closest maritime neighbour but also due to the existence of deep interactions between the two countries in diverse fields both at governmental and non-governmental levels. In the maritime domain, in the present context, technically speaking, there is no problem between the two countries. However, the fishermen issue remains one of the issues principally because of the Tamil Nadu factor. Analysing the issue in five phases, the study argues for a comprehensive approach for its settlement.1. 2018, 2018 Indian Council of World Affairs. -
Secure Through Development: Evaluation of Indias Border Area Development Programme
The Border Area Development Programme was initiated in the year 198687, to strengthen Indias security by ensuring developed and secure borders. Initially, the programme was implemented in the western border states to facilitate deployment of the Border Security Force. Later, the geographical and functional scope of the programme was widened to include eastern and northern sectors of Indias borders and as well as socio-economic aspects such as education, health, agriculture and other allied sectors. But, it is difficult to say that the implementation has been uniform in all the sectors. While the programme on the Western front along the IndiaPakistan border has been fairly successful, it is yet to achieve its stated objectives on the Eastern front. Using an analytical framework, the article examines three aspects of BADP: Its context and concept; identifying challenges that hinder the Programmes effectiveness; and certain policy prescriptions. 2019, 2019 Institute for Defence Studies and Analyses. -
Agricultural credit and agricultural productivity across Indian states: An analysis
The study analyses the relationship between formal agricultural credit and agricultural productivity in India. Secondary data have been collected from various sources for the selected states of Andhra Pradesh, Assam, Bihar, Gujarat, Haryana, Himachal Pradesh, Karnataka, Kerala, Madhya Pradesh, Maharashtra, Punjab, Rajasthan, Odisha, Tamil Nadu, Uttar Pradesh and West Bengal for the time period 19901991 to 20172018. Fixed effect model is used to perform the state-level panel data analysis to establish the relationship between the agricultural credit and agricultural productivity. In addition to this, the study also focuses on analysing the effectiveness of Doubling of agricultural credit policy. The findings from the analysis show that direct agricultural credit and doubling of agricultural credit policy has a positive impact on productivity, whereas the indirect credit has a significant negative impact on productivity. In order to increase agricultural productivity, policies should focus on providing direct credit at a larger scale. 2021 John Wiley & Sons, Ltd. -
Predictive Analytics in Wealth Management and the Role of Machine Learning for Investment Professionals
The paper focuses on the use of predictive analytics and machine learning (ML) to potentially transform the landscape of contemporary wealth management and provide financial decision-makers with cutting-edge tools that improve decision-making and portfolio management practices with clients. Conventional investment models are usually based on the past performance and unchanging risk evaluation, which is not flexible in a fluctuating market. As compared, the suggested ML-based framework would use the real-time data source dynamic, that is, market trends, behavioral financial indicators, and macroeconomic signals to capture the real-time forecast and provide individual investment advice. Multi-model ensemble comprising Random Forest, XGBoost, and LSTM networks were created to predict the asset performance and to evaluate investor risk profiles with high accuracy. Empirical analysis proved that the proposed system proved to be more accurate (95.3 %), have a higher precision (92 %), recall (94.1 %), and F1-score (92.1 %) as compared to current approaches. The strategy improves risk-adjusted returns, minimises human bias and decision lag. These results reinforced the useful application of ML in enhancing the strategic potential of investment professionals and establishing a more robust and flexible ecosystem of managing wealth. 2025 IEEE. -
Blockchain and Social Networking in the Age of Privacy: A New Approach to Data Protection and Transparency
Online social networks (OSNs) have become a significant area of application due to the rapid increase in online interactions. However, the unauthorized exposure of users' private information can lead to severe repercussions, including risks to users' personal safety. Privacy concerns in OSNs have garnered widespread attention. While some research efforts have attempted to address these privacy challenges in recent years, they often overlook the need to maintain essential social network functionalities including data access, retrieval and sharing. Consequently, ensuring the protection of sensitive information for delivering privacy-preserving and efficient services for social network remains a complex challenge. 2025 IEEE. -
Development of Enhance-Net Deep Learning Approach for Performance Boosting on Medical Images
Only a few clinical procedures include the use of clinical methods for the early detection, observing, evaluation, and treatment evaluation of a range of medical illnesses. Knowing the analysis of medical images in computer vision necessitates being acquainted with the core concepts and uses of deep learning and artificial neural networks. The A rapidly expanding area of study is the Deep Learning Approach (DLA) in medical image processing. DLA is often used in medical imaging to determine if an ailment is present or not. By producing speedier, more accurate results in real time, deep learning algorithms may make the jobs of radiologists and orthopaedic surgeons easier. But the standard deep learning approach has reached its efficiencies. While offering an ideal solution known as boost-Net, we study numerous optimization strategies to increase the effectiveness of deep neural networks in this research. From a selection of well-known deep learning models, Champion-Net was selected as the deep learning model. The musculoskeletal radiograph-bone classification (MURA-BC) dataset is used in this investigation. Utilizing the train and test datasets, Enhance-Net's classification precision was evaluated. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. -
Nautical tigers: Contributions of cholas to India's maritime tradition
India is known for its rich maritime tradition and heritage. Contributions of kingdoms of peninsular India - Sathavahanas, Chalukyas, Cholas, Pandyas, Pallavas, Cheras - are notable in this regard. Of all the kingdoms, Cholas stood out in their maritime ventures into Southeast Asia and Indian Ocean regions. They not only maintained strong and sophisticated navy (dubbed as "Chola Armada") but also developed ports like Mamallapuram, Kaveripattinam, Korkai, Nagappattinam, Periyapattinam, Devipattinam, Machilipatnam, Thoothukudi, Poompuhar and Arikamedu along the Coromandel coast. Cholas followed what can be called the "Watch East Policy" to mainly safeguard their trade/commercial interests. But the story is not that simple. Rajendra Chola-I went on to occupy Malaysia (then called Kadaram) and assumed the title Kadaram Kondan (one who captured Kadaram) to control the Malacca Straits. He also acquired Java and Sumatra by defeating Sailendra rulers during his digvijaya. As a result, the Bay of Bengal was once called "Chola Lake," Such expeditions not only secured trading rights of Tamil merchant guilds in the region but also brought enormous riches to the then-Chola empire. The amalgamation of projection of military power with underlying commercial interests reverberated later during the European colonization of the region and holds true even today. No wonder, various adages like "Imperial Cholas" and "Barbarians of the Southern Sea" are used in the historical literature to describe Cholas' maritime expansion during the 10th and 11th centuries. Peeking at the Cholas' maritime prowls in Southeast Asia and the Indian Ocean region raises many questions: What was the larger context of Chola's maritime expedition? What were the motives behind? Were they purely commercial or were there cultural, political and military undercurrents? Seen from the current perspective, are there any parallels to maritime tussles among big powers in the region then and now?. 2025 Adluri Subramanyam Raju and R. Srinivasan. All rights reserved. -
Unified Multimodal Information Flows for Immersive and Context-Aware 6G Systems
Communication is moving from being data-centric to being experience-centric and perception-aware with the advent of 6G wireless networks. Immersive applications such as digital twins, holographic telepresence, extended reality, tactile Internet, and visual-auditory-haptic data integration are essential to these applications. Unfortunately, the way communication is currently designed treats these modalities as separate data streams, leading to wasteful use of energy, bandwidth, and latency, and a poor user experience. For 6G systems that are both immersive and aware of their surroundings, this research presents a novel paradigm called Unified Multimodal Information Flow (UMIF). Underpinned by user intent and contextual awareness, UMIF combines multimodal data into coherent semantic flows, reimagining communication as a semantic experience. A semantic flow model with predictive state development and relevance-aware filtering, along with an event-driven semantic flow optimisation algorithm, enables scalable, energy-efficient, and ultra-low-latency communication. One way to improve the framework is by implementing distributed multi-agent orchestration at the network edge. Compared to bit-centric approaches, UMIF performs better across many areas, including transmission efficiency, semantic latency, user experience quality, and sustainability, according to several trials. 6G communication networks that are intelligent, immersive, and focused on humans can be built on top of this framework. 2026 The Authors. -
Determinants of Charitable Giving of Employees in the Organized Sector: A Case Study in Bengaluru Urban District.
The study aims at identifying the determinants of charitable giving among working professionals who are into white collar jobs in the organized sector in Bengaluru urban district. The study also tries to understand the effect of Income and Non-Income factors that could affect decisions made by individuals towards charitable donations. The study captures charity donations in terms of money, time and gifts, based on its objectives; the focus is on monetary donations. Thus, based on the various available models based on demographic variables and attitudinal factors, the study has developed a comprehensive function that that includes both demographic and attitude related factors that could predict the charity behavior of an individual and in this case it is the working professional. The population includes all the white collar jobs and the sample size was 132 respondents. This includes both charity givers and non-givers. The sampling technique used was purposive random sampling and data was collected through questionnaire method and the questionnaire begins with an introductory question seeking if the respondent have made any donations in the last 12 months and based on their answer they are directed towards the three sections such as section A, B and C for those who said yes to the question and B and c for those who said no to the question. Section A is about the charity activities of the respondents, B is about the demographic details and C measures altruism, prestige, care and other attitude related factors using a 5 point Liker scale. Factor analysis was made used for the purpose of model testing. However, prior to the model testing, bi-variate and multi-variate exploratory analysis was done using cross tabulation in SPSS and python to understand the association between variables used in the study. To further clarify and conclude the relationship and strength of association between variables, Pearson???s Chi square was conducted. Based on these results most of the demographic variables seem to have positive relationship with charitable giving and few had partially negative relation with the incidence of giving. For example Gender, where being male have less chance of making charitable donations. Religion has no impact on the likelihood of making donations. viii Certain other variables such as age, education level and income have a positive relationship with charity giving. In other words as age, income, level of education are higher, the chances of making monetary donations increases. From the results of exploratory bi -variate analysis, certain variables were removed and were not part of factor analysis towards testing the model. The results of factor analysis shows that charitable giving (monetary) is the function of three factors namely benevolence, socioeconomic status and warm glow giving and thus it proves the model developed by the study. Thus the major determinants or predictors of charitable giving (monetary) are benevolent behaviour, socioeconomic status and warm glow giving. -
Investigation of nanocrystalline structure in selected carbonaceous materials /
International Journal of Minerals, Metallurgy and Materials, Vol.21, Issue 9, pp.322-328, ISSN No: 1674-4799. -
Chemical Demineralization of High Volatile Indian Bituminous Coal by Carboxylic Acid and Characterization of the Products by SEM/EDS
Journal of Environmental Research and Development, Vol-6 (3A), pp. 653-659. ISSN-0973-6921 -
Synthesis of porous graphene sheets from agricultural waste by chemical methods
A facile technique to synthesise wrinkled graphene like nano carbon (GNC) agricultural waste like wood and coconut charcoal is reported in the current study. The charcoal is produced by thermal decomposition of wood and coconut shell and is intercalated by Hummer's method. It is separated by centrifugation and sonication to get few layer graphene sheets. The structural and chemical changes of the nanostructure are elucidated by Raman spectroscopy, TEM, SEMEDS and XPS. Raman spectra revealed the existence of highly graphitized amorphous carbon, which is confirmed by the appearance of five peaks in the deconvoluted first order Raman spectra. The SEM analysis reveals the formation of large area graphene sheets with nanoporous structure in it. The TEM/SAED analysis exhibits the presence of short range few layers graphene. 2018 World Research Association. All rights reserved. -
A comprehensive analysis of various structural parameters of Indian coals with the aid of advanced analytical tools
An exhaustive structural analysis was carried out on three Indian coals (ranging from sub-bituminous to high volatile bituminous coal) using a range of advanced characterization tools. Detailed investigations were carried out using UVVisible spectroscopy, X-ray diffraction, scanning electron microscopy coupled energy dispersive spectroscopy, Raman spectroscopy and Fourier transform infrared spectroscopy. The X-ray and Raman peaks were deconvoluted and analyzed in details. Coal crystallites possess turbostratic structure, whose crystallite diameter and height increase with rank. The H/C ratio plotted against aromaticity exhibited a decreasing trend, confirming the graphitization of coal upon leaching. It is also found that, with the increase of coal rank, the dependency of I20/I26 on La is saturated, due to the increase in average size of sp2 nanoclusters. In Raman spectra, the observed G peak (1585cm?1) and the D2 band arises from graphitic lattices. In IR spectrum, two distinct peaks at 2850 and 2920cm?1 are attributed to the symmetric and asymmetric CH2 stretching vibrations. The intense peak at ~1620cm?1, is either attributed to the aromatic ring stretching of C=C nucleus. 2016, The Author(s). -
Synthesis and characterization of porous, mixed phase, wrinkled, few layer graphene like nanocarbon from charcoal
A technique to synthesis wrinkled graphene like nano carbon (GNC) from charcoal is reported in the current study. The charcoal produced by thermal decomposition and is intercalated by Hummers method. It is separated by centrifugation and sonication to get few layer graphene sheets. The structural and chemical changes of the nanostructure is elucidated by Raman spectroscopy, TEM, SEM-EDS and XPS. Raman spectra revealed the existence of highly graphitized amorphous carbon, which is confirmed by the appearance of five peaks in the deconvoluted first order Raman spectra. The SEM analysis reveals the formation of large area graphene sheets with nano-porous structure in it. The TEM/SAED analysis exhibits the presence of short range few layer graphene. 2015 Pleiades Publishing, Ltd. -
Investigation of nanocrystalline structure in selected carbonaceous materials
The structural parameters of nine Indian coals were determined by X-ray diffraction (XRD) and Raman spectroscopy. The study revealed that the coals contain crystalline carbon of turbostratic structure with amorphous carbon. The stacking height (Lc) and interlayer spacing (d002) of the crystallite structure of the coals ranged from 1.986 to 2.373 nm and from 0.334 to 0.340 nm, respectively. The degree of graphitization was calculated to range from 42% to 99%, thereby confirming the ordering of the carbon layers with the increase in coal rank. An exponential correlation was observed among the aromaticity (fa), the lateral size (Lc), and the rank (I20/I26), suggesting that the coal crystallites are nanocrystalline in nature. A very strong correlation was observed between the structural parameters (fa, d002, Lc, the H/C ratio, and I20/I26), the volatile matter content, and the elemental carbon content, indicating the structures of coals are controlled by the degree of contact metamorphism. The Raman spectra exhibited two prominent bands: the graphitic band (G) and the first-order characteristic defect band (D). The deconvolution resulted in five peaks: G, D1, D2, D3, and D4. The intense D1 band, which appeared at ~1350 cm-1, corresponds to a lattice vibration mode with A1g symmetry. The D2 mode, which appeared at ~1610 cm-1, arises from the structural disorder as a shoulder on the G band. University of Science and Technology Beijing and Springer-Verlag Berlin Heidelberg 2014.