Volume 13 | Issue 6 |

 Abstract

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.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Profitability, Solvency, Financial Performance

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Tabla, Laya, Taala, Mathematical aspect

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In the age of artificial intelligence, education is rapidly evolving to adapt to new learning modes. One such emerging trend is prompt-based learning, in which learners use carefully crafted prompts to interact with AI tools such as ChatGPT, Bard, or Copilot to enhance their understanding, explore concepts, and generate creative or analytical outputs. This beginner-level analysis explores how prompt-based learning is reshaping the traditional student-teacher-content dynamic by offering personalized, interactive, and on-demand knowledge support. This paper examines the basic structure of prompt-based learning, its key benefits, such as promoting critical thinking, personalized assistance, and faster content creation, as well as early challenges, such as misuse, lack of prompt literacy, and overdependence on AI. Drawing insights from the author's experience as an EdTech entrepreneur working with students and prompt-based skill modules, this paper proposes that prompt-based learning is not just a trend but a potential foundational pillar of future education. The analysis concludes by recommending the integration of prompt literacy into digital education curricula and teacher-training programs to ensure the ethical, effective, and creative use of AI in modern classrooms.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Prompt-Based Learning, AI in Education, EdTech, ChatGPT, Critical Thinking, Digital Literacy

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

: Heart attacks remain a leading cause of death worldwide, and early detection is crucial for saving lives. Traditional diagnostic approaches often rely on doctors' subjective evaluations, physical tests, and symptom recognition--many of which can be delayed or missed. Which proposes a machine learning-based solution that can predict the risk of a heart attack using patient health data. To approach the structured data inputs such as age, blood pressure, cholesterol, smoking habits, exercise levels, and family history to assess the likelihood of heart-related events. The system is built on a predictive model trained using the XGBoost algorithm, known for its high accuracy in classification tasks. To handle class imbalance in the dataset, SMOTE (Synthetic Minority Over-sampling Technique) is used to generate synthetic data points, ensuring fair learning. Additionally, Optuna, an advanced hyperparameter tuning framework, is integrated to automatically optimize the model's performance. Together, these tools enable a highly accurate and robust prediction to supports clinical decision-making.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

XGBoost, SMOTE, data, Optuna

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Small and Medium Enterprises (SMEs) are vital to the economic growth of emerging economies, particularly through their contributions to exports, employment, and innovation. However, their limited ability to fully utilize trade finance hinders their participation in global trade. This text explores how insufficient trade finance affects the export capabilities of SMEs in developing nations and proposes policy solutions. By drawing exclusively on empirical and theoretical insights from existing literature, the study identifies structural challenges such as restricted access to bank credit (Abora et al., 2014), inadequate financial infrastructure (Auboin, 2015), and information asymmetries (Leonidou, 2004) as primary obstacles. It further examines recent strategies, including digital finance innovations (Kumar et al., 2023), financial literacy programs (Okello Candiya Bongomin et al., 2017), and regional integration strategies (Aldaba, 2013), as effective policy responses to bridge financing gaps. The analysis highlights that for SMEs to improve their export performance, governments should support them through institutional backing, financial assistance, and skill enhancement. Overall, the study demonstrates how targeted programs and actions can alleviate financial constraints, enabling SMEs in developing countries to reach their full export potential.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Trade Finance Gaps, SME Export Barriers, Developing Economies Trade Policy, SME Access to Finance, Export Promotion Policy Interventions

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Background: Cardiopulmonary Resuscitation (CPR) is a life-saving emergency procedure, but awareness and skills among the general youth population remain inadequate. Aim: To assess and compare the level of knowledge regarding CPR before and after a structured demonstration among graduate students in selected colleges of Indore. Methods: A pre-experimental one-group pre-test and post-test design was used among 50 graduate students selected through purposive sampling. A structured knowledge questionnaire was administered before and after an educational session on CPR. Results: The mean pre-test knowledge score was 11.2, and the post-test mean was 17.4. The difference was statistically significant (p < 0.05), indicating improved knowledge. Conclusion: The structured demonstration was effective in improving CPR knowledge among graduate students. Educational institutions should incorporate CPR training into their curriculum.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

A Study to Assess the Level of Knowledge Regarding Cardiopulmonary Resuscitation Among Graduate Students in Selected Colleges of Indore (2024-2025)

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Construction projects in remote or extreme environments, such as the "Harsh Paradise" site in Sambhajinagar, pose unique challenges to occupational health and safety. This report identifies and analyses the wide range of construction risks, including safety hazards, operational inefficiencies, financial uncertainties, and environmental concerns, with a particular focus on on-site conditions like inadequate PPE, lack of safety training, and absence of emergency preparedness. The study presents practical strategies for risk mitigation through improved planning, the use of protective equipment, worker training, and the establishment of safety protocols. Moreover, it emphasizes the growing role of modern technologies such as Building Information Modelling (BIM), drones, IoT sensors, wearable devices, and project management software in predicting, monitoring, and minimizing risks. A detailed case study of the Harsh Paradise construction site further highlights real-world issues and their corresponding solutions, including appointing safety officers, implementing training programs, and improving emergency response systems. Reference is also made to applicable IS codes to ensure compliance with national safety standards. The report concludes that a proactive, technology integrated safety culture supported by teamwork, supervision, and regulatory adherence is essential for ensuring safety, efficiency, and project success in challenging construction environments.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

safety risk, role of technology, IS codes, Case study, basic safety practices with modern technology, staff awareness, and strong supervision

  License

Creative Commons Attribution 4.0 and The Open Definition