St Xavier’s College

Abstract In essence, IoT technology has been developed at a rapid rate and we can now create smart monitoring systems in complicated locations such as oceans, with the use of identical connected gadgets. According to the environmental protection requirements, the marine ecosystems need constant observation in terms of climate analysis, disasters forecasting, and marine resources management. Historical methods of monitoring the ocean actually involve the use of ships and satellites, although they certainly lack in capability to cover extensive ranges and retrieve information within a short period. According to these issues, the paper will propose an Internet of Things wireless system in relation to smart ocean monitoring. According to the suggested system, underwater sensors, wireless communication, edge computing, and cloud platforms are incorporated in as far as real-time monitoring of the marine environment is concerned. It is only a system design with the various layers, which are sensor layer, communication layer, edge processing layer, and cloud intelligence layer stacked over each other. According to the research requirements, mathematical models are created on sensor data gathering, movement of underwater signals, energy consumption by the network, communication delay and reliability of the system. Moreover, an intelligent ocean data collection algorithm is suggested to be able to make the data transmission to be more efficient and to minimise on the communication overhead as such. Moreover, the outcomes of the simulation reveal that the proposed architecture enhances further network throughput, ratio of packet delivery, and conserves energy as compared to the conventional underwater monitoring systems in itself. In essence, this platform provides the same scalable and dependable configuration that the next-generation smart ocean monitoring applications require.

Recently, Indian economy has experienced strong Foreign investment flows through Foreign Direct Investment(FDI) and Foreign Portfolio Investment (FPI). It's long term trend highlighted economy has received $748.78 billion through FDI since 2014-2025 whereas FPI has been boosted by equity market gains with total FPI asset under custody hitting $858 billion. A healthy and vibrant industrial sectors of capital markets is important for development of a nation. In the present scenario, sectors of Foreign investment in Indian economy for instance Automotive, Pharmaceuticals, Information Technology (IT), Textiles, Construction, power, equity segment and assets under custody (AUC) have attracted attention of investors to invest in these Industries particularly. This paper attempted to analyse some of sectors and their impact on Industrial Development in India by foreign investors. The present study is based on quantitative data and used secondary data of annual time series. Data has been collected from the report of Reserve Bank of India, Department for Promotion of Industry and Internal Trade (DPIIT),world Bank report etc. To study the impact methods are practised such as comparative sectorial analysis, Autoregressive Distributed Lag (ARDL) and Garch model has been used to estimate volatility spillovers of FPI to sectoral output. The results indicated strong and positive long-run relationship with capital intensive, technology-based sectors hence leading to stable output growth and value addition. On the contrary, the FPI inflows showed a strong but volatile connection between FPI inflows and construction and power industries, which is highly vulnerable to market sentiment. However, it was observed from study that the investment activities in industrial sectors of FDI and FPI have had significant impact on Indian economy.

Graphitic carbon nitride (g-C3N5) photocatalytic efficacy could be enhanced by reducing the rate at which photogenerated electron-hole pairs recombine. This study explored the doping the impact effects of 1-4% AuWO3 nanoparticles (AuW NPs) reinforced with Polypyrole on g-C3N5 nanocomposites to improve photocatalytic performance. This nanocomposite was synthesized using a simple and inexpensive method: XRD, SEM, TEM, and UV-Vis were used to characterize physicochemical parameters. We tested AuW@g-C3N5 nanocomposites against pure g-C3N5 and their photoactivity using methylene blue (MB) for dye degradation. AuW@g-C3N5 nanocomposites with varying AuW concentrations showed better photocatalytic performance than pure g-C3N5. The 2%AuW@g-C3N5 nanocomposite is the most effective photocatalyst when photocatalysis occurs in non-polluting light of the visible light, resulting in a degradation of the target molecule of the dye by 97% in comparison with 64% in the absence of the nanocomposite (bare g-C3N5). The 2%AuW@g-C3N5/Ppy nanocomposite photodegrades 2.54 times faster than virgin g-C3N5. Our results can enable effective and cost-efficient production of AuW@g-C3N5/Ppy nanocomposites to a potent environmental remediation platform.

Leading with Purpose: Strategic Growth and Jesuit Excellence encapsulates a vision that blends mission-driven leadership with a commitment to holistic development. Rooted in Jesuit values, this approach emphasizes the formation of individuals who lead not just with ambition, but with discernment, compassion, and integrity. Strategic growth in this context goes beyond metrics and milestones—it calls for purposeful action aligned with the greater good, fostering excellence that uplifts communities and transforms institutions. Through this lens, leadership becomes a transformative force, grounded in service, inclusivity, and the pursuit of justice. This chapter explores with a case study how the Xavier Institute of Business Administration (XIBA), Palayamkottai, under the leadership of the Society of Jesus, strategically integrates Jesuit values into its governance, pedagogy, and institutional development. It reflects how these spiritual and managerial principles contribute to sustainable growth, educational quality, social responsibility, and value-based leadership. Through a qualitative view, the study illustrates the evolution of XIBA, its leadership transitions, student-centric practices, brand positioning, and its contribution to societal wellbeing.

Choosing sites for solar photovoltaic (PV) power plants in developing countries like India is a crucial task while considering multiple conflicting factors and sub-factors simultaneously. Multi-criteria decision-making (MCDM) is an optimisation method that provides a framework for handling such situations in an intuitionistic fuzzy environment. The complexity and uncertainty associated with the site selection model are dealt with professionally. The Criteria Importance Through Intercriteria Correlation (CRITIC) method is applied to determine the relative importance of the criteria, identifying airflow speed as the most influential factor, followed by humidity ratio, level of dust haze, availability of labour and resources, and ecological effects. This shows that airflow speed plays an important role in the power plant’s efficiency and performance. The Vlse Kriterijumska Optimizacija I Kompromisno Rešenje (VIKOR) method is then used to prioritise the alternatives as potential locations for setting up a solar PV power plant in India. A new de-i-fuzzification method based on the relative difference between two real numbers is also proposed. Sensitivity analyses and comparative studies are conducted to assess the robustness and effectiveness of the framework. Overall, the results demonstrate that the proposed framework is useful and effective for optimising site selection for solar power plants in India.

Comamonas aquatica, an emerging nosocomial pathogen, poses significant clinical challenges through biofilm-mediated antimicrobial resistance. This study investigated the efficacy of cuminaldehyde combined with tetracycline against C. aquatica biofilms using an integrated approach. In silico predictions (PASS online, SwissADME, PROTOX 3.0, OSIRIS) indicated that cuminaldehyde exhibited favorable oral bioavailability with acceptable toxicity profiles, while tetracycline showed limited oral absorption due to molecular size and polarity constraints. Experimentally, individual minimum inhibitory concentrations (MICs) were determined as 300 μg/mL for cuminaldehyde and 0.2 μg/mL for tetracycline. The fractional inhibitory concentration index (FICI) of 0.66 demonstrated additive interactions between the compounds (cuminaldehyde and tetracycline). The result indicated that the combinatorial application of compounds exhibited enhanced antimicrobial potential against the test organism. Furthermore, co-application of cuminaldehyde and tetracycline was found to show increased antibiofilm potential against the same organism. The result showed that the biofilm inhibition under the influence of the combinatorial application could be attributed to the enhancement of bacterial cell membrane permeability and accumulation of intracellular reactive oxygen species. In a nutshell, the findings of this study highlight a promising strategy of using combinatorial therapy involving cuminaldehyde-tetracycline for dealing with biofilm-associated infections caused by C. aquatica.