Volume 13 | Issue 6 | June 2025

 Abstract

The integration of Artificial Intelligence (AI), particularly deep learning, into medical diagnostics has revolutionized modern healthcare by enhancing accuracy, reducing diagnostic delays, and supporting clinical decision-making processes. This paper explores the transformative role of deep learning methodologies especially convolutional neural networks (CNNs) and recurrent neural networks (RNNs) in advancing the precision of diagnostic tools across a variety of clinical domains. From medical imaging and pathology to genomics and electronic health records, deep learning models have demonstrated capabilities that often rival or exceed those of experienced clinicians in specific diagnostic tasks. We examine real world applications, including AI-driven detection of pneumonia from chest X-rays, skin cancer classification through dermoscopic images, and diabetic retinopathy recognition, highlighting both the performance metrics and the underlying model architectures. Furthermore, the paper addresses the significant benefits of AI integration, such as scalability, consistency, and the potential for deployment in resource-limited settings where trained professionals are scarce. However, the adoption of AI in healthcare also raises critical challenges. These include data bias, model interpretability, regulatory hurdles, and the ethical considerations surrounding patient data privacy. This paper critically evaluates these challenges, offering insights into the current limitations and proposing strategies for responsible and ethical implementation. Finally, the paper discusses the future outlook of deep learning in diagnostics, emphasizing the shift towards multimodal AI systems that integrate imaging, text, and genomic data for more holistic insights. The potential for personalized diagnostics and seamless integration with clinical workflows signifies a new era in precision medicine.

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 Keywords

Artificial Intelligence, Deep Learning, Medical Diagnostics, Convolutional Neural Networks, Diagnostic Accuracy, Medical Imaging, Healthcare Technology.

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This take a look at examines how economic institutions have replied to the expansion and entry strategies of the Indian financial system through the years. In current years, we've seen that the worldwide economic system has faced many tough situations consisting of the Eurozone crisis, debts of fundamental international locations of the sector, financial ruin of banks and monetary institutions. Most important economies like the US and Europe have skilled economic slowdown due to growing uncertainty concerning the state of affairs. This increases some very important questions about sustainability, growth and survival. However, the Indian monetary market is one of the few markets that have controlled to remain robust notwithstanding some of these issues. The Indian banking region has grown at a super tempo within the closing decade. Higher lending, higher overall performance and profitability in comparison to banks in developing countries, reduced non-performing belongings and emphasis on economic inclusion have brought about a robust and good sized Indian business. To preserve a sustainable financial system, Indian banks have all started to reevaluate available possibilities and revise their boom strategies. This newsletter tries to examine the diverse challenges that Indian organizations are anticipated to stand. In 1960, the Reserve bank of India was given the authority to pressure vulnerable banks to merge with sturdy banks. Between 1951 and 1969, the overall wide variety of banks fell from 566 to 85. In July 1969, the authorities invested Rs. 200 crore in 1980. The Narasimha Committee document in 1992 endorsed vast reforms within the banking area to comply with the world over familiar banking standards. After the amendment of the economic regulation Act in 1993, new non-public companies entered the marketplace. The Indian banking zone has skilled numerous waves of economic crises. america financial crisis of 2008-2009 and the modern European crisis are latest events. the general situation of worldwide alternate is very complex. Indian legal guidelines and monetary policies have included India from international crises. To apprehend its possibilities and demanding situations, we need to first apprehend the general condition and structure of the Indian financial system.

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Rural Market, Risk Management, Global Banking, Economy

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In the contemporary world, energy is a vital requirement for undertaking any type of task. It can be produced using a range of methods, encompassing both renewable and non-renewable options, and is based on the physical principle of "work accomplished." However, the methods of producing energy frequently harm the environment. Accordingly, technologies aimed at green energy are being developed to reduce this ecological footprint. Within renewable energy systems, the role of sensors is crucial for electricity generation, and their effectiveness significantly affects energy production. Energy sources that rely on sensors bring numerous benefits, especially regarding sustainability and environmental conservation. This paper investigates the advantages of energy generation that uses sensors, placing particular emphasis on how infrared (IR) sensors compare to other sensor types.

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Electricity, sensor-based electricity, wind electricity, free energy, IR sensor.

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As finance functions face increasing pressure to accelerate reporting cycles, reduce operational risks, and ensure compliance, AI-enabled automation has emerged as a transformative force in modern enterprise resource planning (ERP) platforms. This review explores how Oracle Cloud Fusion Financials integrates artificial intelligence (AI) to streamline and optimize the financial close process. Drawing from academic research, industry case studies, and Oracle's embedded AI capabilities, the paper identifies key automation tools--such as intelligent reconciliations, predictive journals, and digital assistants--that significantly reduce cycle times, error rates, and manual effort. The review introduces a theoretical model for AI-finance integration and offers empirical evidence of performance outcomes. The paper concludes with a forward-looking discussion on the governance, scalability, and innovation pathways shaping the future of intelligent financial operations.

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AI in ERP, Oracle Cloud Fusion, Financial Close Automation, Intelligent Reconciliation, Predictive Journals, Financial Transformation, AI Governance, Digital Finance, Cloud ERP, Financial Workflow Optimization

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Transparent concrete, also known as translucent concrete or light-transmitting concrete (LiTraCon), is an innovative concrete-based material that possesses light- transmitting properties. Light passes through the concrete either naturally or via artificial sources, from one end to the other, due to the presence of optical fibers embedded within the mix. For this study, three types of molds--cubes, cylinders and beams--were prepared using M30 grade concrete. The concrete mix incorporates 4% optical fibers, and glass powder is used as a partial replacement for cement at varying proportions (5%, 10%, and 15%). This modified concrete is tested to evaluate its mechanical properties and performance. The prepared specimens are assessed for compressive strength and split tensile strength at curing intervals of 7, 14, and 28 days. The experimental analysis involves comparing the strength characteristics of the transparent concrete with those of conventional concrete. Transparent concrete is particularly suitable for prefabricated buildings and wall paneling, offering both functional and aesthetic advantages. One of its major benefits is the potential reduction in daytime power consumption by utilizing natural sunlight. Moreover, it contributes to green building practices, promoting sustainable and eco-friendly construction.

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An investigative study on the development and properties of light-transmitting concrete (LTC)

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This study compares the financial performance of construction and ceramic companies in India from 2014 to 2023, focusing on profitability and solvency metrics. The analysis employs t-tests to assess sectoral differences in financial ratios such as operating margin, net profit margin, return on assets, debt-to-equity ratio, and interest coverage ratio. Additionally, regression analysis is used to explore sectoral trends and the implications of time on financial performance. The findings reveal significant differences between the two sectors, with ceramic companies generally exhibiting stronger solvency and more stable profitability than their construction counterparts. These insights provide valuable information for investors and stakeholders, guiding decisions on sectoral performance and sustainability.

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Profitability, Solvency, Financial Performance

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This paper explores the evolution, application, and challenges of Human Resource Information Systems (HRIS) in the context of developing economies. As organizations shift from manual to digital HR processes, HRIS emerges as a vital tool that enhances efficiency, transparency, and strategic alignment in human resource management. The study outlines key HRIS applications, including recruitment, payroll, training, performance management, and employee self-service. It also identifies major barriers to adoption such as lack of leadership support, insufficient training, financial constraints, and inadequate infrastructure. The scope of HRIS varies by organizational size and sector, with larger enterprises utilizing advanced modules and smaller firms often limited to basic functions. Despite the numerous benefits, adoption remains uneven. The paper concludes by emphasizing the need for leadership commitment, continuous training, and supportive policy frameworks to maximize HRIS potential. It calls for further research through case studies to support region-specific and industry-specific implementation strategies.

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HRIS, Adoption in industries, Future perspectives- (technological advancements, business)

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This study proposes a novel underwater optical wireless communication (UOWC) system employing orbital angular momentum (OAM) multiplexing with pulse amplitude modulation (PAM4) for high-speed data transmission. The system consists of four distinct Laguerre-Gaussian (LG) modes (LG0,0, LG0,15, LG0,35, LG0,70), each carrying 20 Gb/s data streams using a green laser operating at 532 nm. To evaluate the robustness and adaptability of the system in diverse marine environments, simulations were conducted across five different water types: Pure Sea (PS), Clear Ocean (CO), Coastal Sea (CS), Harbor I (HI), and Harbor II (HII). Simulation results demonstrate that the system achieves reliable data transmission over distances up to 10.8 meters in the clearest waters, with performance gracefully degrading to shorter ranges of around 2.8 meters in highly turbid harbor conditions, confirming its adaptability to varied underwater environments. This work emphasizes the scalability and spectral efficiency of OAM-PAM4 systems and highlights their potential in applications such as deep-sea exploration, marine sensor networks, and real-time surveillance.

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UOWC, OAM, PAM-4, LG Beams, Marine Environments, PS, CO, CS, HI, HII

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The art of Tabla playing is deeply rooted in mathematical precision, particularly in Laya (tempo) and Taala (rhythmic cycles). Laya requires equal time divisions between beats, classified into Vilambit (slow), Madhya (medium), and Drut (fast), following a 1:2:4 ratio. Taala structures music into mathematically symmetrical cycles, with simpler divisions (e.g., Tintal, Jhaptal) being more popular than complex ones (Rudra, Ganesh Taal). Advanced techniques like Layakari (rhythmic improvisation) involve fractional matras (e.g., 11/2 in Aadh, 5/4 in Kuaadh), demanding mastery of rhythm and proportion. A Tabla player's skill lies in balancing mathematical accuracy with aesthetic expression, ensuring both intellectual engagement and melodic harmony for the listener.

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Tabla, Laya, Taala, Mathematical aspect

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The rise of sustainable finance solutions has accelerated with increasing global awareness of climate change and environmental impact. Cloud computing plays a pivotal role in enabling organizations to meet net-zero carbon emissions goals by providing the infrastructure, scalability, and energy efficiency required for sustainable finance. This paper evaluates various Net-Zero cloud offerings in the context of their impact on sustainable finance, examining how these platforms can help financial institutions meet sustainability targets. By exploring the features, capabilities, and performance of Net-Zero cloud solutions, the paper identifies key factors such as carbon footprint reduction, energy consumption optimization, and regulatory compliance that are crucial for driving sustainable finance initiatives. The findings indicate that while many cloud offerings are committed to net-zero goals, the actual implementation of these solutions varies, and further advancements are needed to standardize and enhance their environmental benefits.

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Net-Zero, Cloud Computing, Sustainable Finance, Carbon Emissions, Energy Efficiency, Green Finance, Financial Institutions

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