Volume 13 | Issue 6 |

 Abstract

This research proposes a hybrid machine learning model to predict academic performance of students in rural colleges. The model integrates Random Forest and Support Vector Machine algorithms to analyze various academic and socio-economic factors. The dataset includes parameters such as attendance, internal assessment scores, family income, internet access, and parental education level. The aim is to develop a predictive system that can assist educators in identifying students at academic risk and provide timely interventions. Results show over 89% prediction accuracy using the hybrid model.

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Academic Performance, Machine Learning, Rural Education, Random Forest, Support Vector Machine, Prediction Model, Student Risk Analysis

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Demographic Factors of Moral Distress: A Correlational Study on Indian Nurses Rimi Chakraborty Guide Dr. Asha Sreenivasan ABSTRACT Introduction: Moral distress in the healthcare sector significantly impacts the well-being and performance of healthcare professionals, particularly nurses. This study aims to explore the demographic correlates of moral distress among nurses, focusing on two major domains: Frequency and Distribution of moral distress levels. Methods: A Correlational study was done on with 50 nurses working in Kolkata, a metropolitan city in the state of West Bengal, India. Participants were selected from diverse demographic backgrounds, including variations in Gender, Educational Qualification, Work Experience, and Unit of Work. The levels of moral distress (Frequency and Distribution) were assessed in relation to these demographic variables. A descriptive design and Purposive sampling technique was used in this study Descriptive statistics were used to analyze the data. Also, point biserial correlation was employed to examine the relationships between moral distress and demographic factors. Results: Descriptive statistics indicated minimal discrepancies in the mean levels of both Frequency and Distribution of moral distress across all demographic variables, except for the unit of work (frequency 22.921, SD = 3.057 and distribution 26.934, SD = 3.284). The unit of work (ICU) the mean differences in Frequency and Distribution were comparatively larger. The point biserial correlation revealed that Frequency and Distribution of moral distress levels among nurses were significantly and positively correlated (r = .282, p<0.01). The unit of work was the only demographic variable found to be significantly (and positively) correlated with both Frequency and Distribution of moral distress. Discussion: The findings of the research could elucidate the importance of the unit of work in influencing the levels of moral distress among nurses, suggesting that the nature of work plays a critical role in the experience of moral distress among the nurses. The need to identify and improve factors associated with moral distress among nurses to enhance their well-being and performance has been established.

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Moral distress frequency, moral distress distribution, nurses, correlational research

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This study aims to conduct a comparative analysis of customer satisfaction levels between two leading housing finance providers in India: The State Bank of India (SBI) and LIC Housing Finance Ltd. (LIC HFL). Utilizing primary data from 460 housing loan borrowers in the Krishnagiri district, the study assesses critical factors influencing satisfaction such as application procedures, transparency, processing time, and EMI schedules. Findings indicate significant differences in borrower experiences, particularly in the areas of screening, disbursement, and regional service accessibility. The study provides practical recommendations for service enhancements and proposes policy implications to improve customer engagement and retention in the housing finance sector.

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Customer Satisfaction, Housing Finance, State Bank of India (SBI), LIC Housing Finance Ltd (LIC HFL), Comparative Study, Krishnagiri

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In this study the P-delta effect on high rise building is studied. Linear static analysis (without P-delta effect) and nonlinear static analysis (with P-delta effect) on high rise buildings having different number of storey is carried out. For the analysis G+19, G+24 and G+29 (i.e. 20, 25 and 30 storey) R.C.C. framed buildings are modelled.Earthquake load is applied on model of structure as per IS-1893(2002) for zone III in SAP2000-12 software. Load combinations for analysis are set as per IS-456(2000). All analysis is carried out in software SAP 2000-12. Bending moment, story displacement with and without P-delta effect is calculated and compared for all the models

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Keywords: P-delta effect, high-rise building, Static nonlinear analysis, displacements, bending moments.

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The research entitled "perceptions of employee pricing strategies in SNQS Internationals Private Limited" mentions that pricing perceptions affect sales performance, customer relationships, and even the alignment of an organization. Since employees can be one of the most important and effective communicators about pricing values communicated to customers, this study looks at how they view, trust, and feel toward pricing approaches within the company. A well-structured questionnaire was distributed to 150 employees from a variety of departments, and it revealed important perceptions around pricing, including factors like transparency, fairness, and communication. Major statistical tools like Chi-square, ANOVA, and rank correlation show the existence of a significant association between demographic variables and their perceptions of price effectiveness. In conclusion, this research substantiates the very importance of employee engagement in pricing strategies while suggesting more training, clear communication, and alignment of incentives for better employee engagement within the firm, further contributing to total business success.

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Employee perception ,Pricing Strategy,Pricing Communication,Price Effectiveness

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This study explores the major barriers to career development faced by in-service teachers, aiming to understand the professional challenges that impact their growth and effectiveness in the field. Despite the critical role of teachers in shaping student learning, many encounter significant barriers that hinder their career progression and access to professional development opportunities. Using qualitative approach, this research analyzes data from semi-structured interviews conducted with 30 in-service teachers in the Udham Singh Nagar District of Uttarakhand, identifying key challenges such as (limited access to training resources, lack of institutional support, time constraints, and insufficient opportunities for skill enhancement). The study underscores the need for targeted support systems, professional development programs, and policy interventions that address the unique needs of teachers. By identifying these obstacles, this research aims to contribute valuable insights into improving professional development frameworks, ultimately supporting the growth and effectiveness of school teachers in their careers.

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Keywords - In-service teachers, Professional development barriers, Career progression.

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Parivaar Kee Sanyuktata Arthaat Sah-Nivaasee Va Sah-Bhojee Aur Naatedaaree Samooh Adrshy Ho Rahee Hai Aur Vartamaan Samay Sthiti Aisee Ho Rahee Hai Jisakee Kalpana Bhee Nahin Kee Ja Sakatee Hai. Bhaarat Ke Logon Mein Sanyukt Parivaar Kee Dhaarana Dheere-Dheere Poornat: Vilupt Ho Jaayegee. Ab Keval Sanyuktata Kee Sambandh Vichchhedan Pravrti Mein Badalaav Aa Raha Hai. Vistrt Sanyukt Parivaar Kee Apeksha Ab Chhote Kshetr Mein Kaary Karane Vaale Do-Teen Peedhiyon Tak Ka Hee Parivaar Hoga. Saath Hee Adhikaanshat: Aise Ekaakee Parivaar Jinamen Ek Vyakti, Usakee Patnee Aur Avivaahit Bachche Alag Rahate Hai, Prakaary Kee Drshti Se Apane Praathamik Naatedaaron Ke Saath (Jaise Bhaee, Pita, Aadi) Sanyukt Bane Rahenge. Pratyek Vyakti Ke Jeevan Mein Parivaar Ek Mahatvapoorn Bhoomika Nirvaah Karata Hai. Praaneeshaastreey Aadhaar Par Samoohon Mein Parivaar Sabase Chhotee Ikaee Hai. Parivaar Ke Abhaav Mein Maanav Samaaj Ke Sanchaalan Kee Kalpana Karana Bhee Kathin Hai.

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Samaaj, Parivaar, Sanyuktata, Samooh, Maanav

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In modern finance, companies use internal controls -- formal policies and processes -- to ensure their financial information is accurate and secure. These controls help safeguard assets, prevent errors or fraud, and maintain trust in financial reporting. Statutory audits are official, legally mandated examinations of a company's financial statements by independent auditors. Auditors rely on internal controls to decide how much they can trust the records before forming their opinion. Bajaj Finance, a large non-banking financial company in India, has seen rapid growth, making effective controls especially important.

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Bajaj Finance, Internal Controls, Statutory Audit, NBFCs, ICAI, RBI, SEBI, Auditor, Finance

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Creative Commons Attribution 4.0 and The Open Definition

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This review paper clarify about the Waste management has become an issue of increasing concern worldwide. These products are filling landfills and reducing the amount of livable space. Leachate produced from landfills contaminates the surrounding environment. The conventional incineration process releases toxic airborne fumes into the atmosphere. Researchers are working continuously to explore sustainable ways to manage and recycle waste materials. Recycling and reuse are the most efficient methods in waste management. The pavement industry is one promising sector, as different sorts of waste are being recycled into asphalt concrete and bitumen. This paper provides an overview of some promising waste products like high-density polyethylene, marble quarry waste, building demolition waste, ground tire rubber, cooking oil, palm oil fuel ash, coconut, sisal, cellulose and polyester fiber, starch, plastic bottles, waste glass, waste brick, waste ceramic, waste fly ash, and cigarette butts, and their use in asphalt concrete and bitumen. Many experts have investigated these waste materials and tried to find ways to use this waste for asphalt concrete and bitumen. In this paper, the outcomes from some significant research have been analyzed, and the scope for further investigation is discussed.

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Waste management, recycle waste materials, Flow value, concrete and bitumen, waste fly ash

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The paper instigates the framework "IIEE" (immersion, interaction, embodiment, and empathy) as a conceptual model that integrates immersive learning technologies with the humanities. The framework offers a multidimensional approach through foundational concepts such as constructivism and experiential learning theory, enhancing student engagement and understanding through emerging technologies, including Virtual Reality (VR), Augmented Reality (AR), and Artificial Intelligence (AI). The framework emphasizes sensory and cognitive aspects of learning along with emotional and identity-centered dimensions. The framework tries to present a shift from text-centric pedagogy to experience and emotionally resonant learning. The paper focuses on the theoretical foundations, defines the core components, and provides practical applications and their implications.

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 Keywords

Keywords: Artificial intelligence, experience, immersive learning, AR, VR.

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Creative Commons Attribution 4.0 and The Open Definition