Volume 14 | Issue 5 |

 Abstract

Mental health during adolescence is a critical concern, particularly in relation to school, home, and peer environments. This study examined the mental health of secondary school students in relation to gender and area of residence. A descriptive survey method was employed, and a sample of 200 students was selected using a multistage random sampling technique from the Venghlui Cluster, Aizawl district, Mizoram. Data were collected using the Mental Health Scale (MHS-TSBA) developed by Talesara and Bano (2017). Data were analyzed using descriptive statistics, including frequency, percentage, mean, and standard deviation, and inferential statistics through the independent samples t-tests. The findings indicated that 34.5% students exhibited a moderate level of mental health, although a substantial number also demonstrated poor mental health. No significant difference was found in the level of mental health based on gender; however, a significant difference was observed between male and female students in the school-related domain, with male students demonstrating higher levels of mental health than female students. With regard to area of residence, a significant difference was found in level of mental health, with urban students demonstrating better mental health than rural students. Domain-wise analysis revealed a significant difference in the home-related dimension, with urban students demonstrating higher levels of mental health than rural students, while no significant differences were observed in the school-related and peer group-related domains. The findings highlight the role of contextual factors, particularly family environment and living conditions, in influencing students' mental well-being and underscore the need for targeted school-based mental health interventions.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Mental health, secondary school students, gender, area of residence

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper explores the interrelationship between heritage and memory through a critical re-reading of the Sabha Parva of The Mahabharata within the framework of English literary studies. It argues that the inclusion of classical Indian texts in the English curriculum is not merely recuperative but epistemologically transformative. Drawing upon Indian Knowledge Systems (IKS), the paper examines how the Sabha Parva operates as a repository of ethical deliberation, political discourse, and cultural memory. Through an analysis of the dice game episode and Draupadi's interrogation, the study foregrounds the text as a site of contested meanings and collective trauma. The paper further situates this reading within contemporary pedagogical practices, emphasizing dialogic learning, translation studies, and decolonial curricular interventions. Ultimately, it proposes that teaching the Mahabharata in English departments enables a dynamic reconfiguration of heritage as a living, interpretive process rather than a static inheritance.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Heritage, Memory, Mahabharata, Sabha Parva, Indian Knowledge Systems, Pedagogy, Translation, Gender

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Dermatoglyphics, the study of ridge patterns on the fingers, palms, and soles, is increasingly recognized as a window into the genetic foundations of various physiological disorders [1, 3]. This study introduces a non-invasive, AI-driven decision-support tool designed to automate biometric analysis for early risk screening. Specifically, the system evaluates markers for type 2 diabetes, essential hypertension, cardiovascular disease (CAD), and perceived stress. The framework utilizes a multi-stage architecture. We first deployed a lightweight Convolutional Neural Network (CNN) to classify primary fingerprint patterns; this model was trained on a dataset of 6,000 scans, bolstered by standard data augmentation. To extract finer details, we developed a computer vision pipeline using OpenCV that applies adaptive binarization and morphological skeletonization. This allowed us to mathematically isolate specific biometric features, such as ridge density and minutiae layouts [5, 7]. For the final risk prediction, we utilized an Extreme Gradient Boosting (XGBoost) algorithm [8].When benchmarked against Support Vector Machine (SVM) and Random Forest baselines, the XGBoost model achieved an accuracy of 80.33%. Our results suggest that this system offers a fast, low-cost, and entirely non-invasive alternative for preliminary health screenings in clinical settings.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Dermatoglyphics, Machine Learning, Computer Vision, OpenCV, Convolutional Neural Networks (CNN), XGBoost, Predictive Healthcare, Non-Invasive Diagnostics.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper presents the modeling, simulation, and hardware implementation of a closed-loop speed control system for a two-phase hybrid stepper motor using an Arduino microcontroller. Stepper motors are widely used in robotics and automation systems due to their precise position control and high holding torque. However, open-loop operation may result in torque ripple, resonance, and step loss under varying load conditions. To overcome these limitations, a closed-loop control strategy is developed and evaluated. A mathematical model of the motor is implemented in MATLAB/Simulink to study voltage, current, speed, and torque characteristics under different operating conditions. The proposed control method improves dynamic performance and ensures stable operation across a broad speed range. Simulation results are validated through experimental hardware implementation using an Arduino Uno and driver interface circuitry. The results demonstrate improved speed regulation, reduced torque fluctuation, and reliable performance suitable for robotics applications.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Controller, Power LED, PCB , Solar Panel, Resistor, Capacitor, Rectifier, PIC16F877A,

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The increasing prevalence of prolonged sitting and sedentary work culture has contributed significantly to the rise of musculoskeletal discomfort, particularly lower back pain and posture-related problems among desk workers. Inadequate seating support, static posture, and extended working hours are major contributors to spinal strain, muscle fatigue, and discomfort during prolonged sitting. Although existing ergonomic backrests provide a certain degree of lumbar support, many products primarily focus on posture correction and fail to address muscle stiffness and thermal comfort simultaneously. This highlights the need for more comprehensive ergonomic solutions that combine structural support with therapeutic relief. The present study aimed to analyse posture-related discomfort among desk workers and develop an improved ergonomic heated backrest, "Ergo-Warm," designed to enhance lumbar support and provide controlled thermal comfort during prolonged sitting. A mixed-method research design was adopted involving 160 participants engaged in desk-based occupations requiring extended sitting durations. Quantitative data were collected using structured questionnaires and the Cornell Modified Discomfort Questionnaire (CMDQ), while qualitative insights were gathered through semi-structured interviews. The study examined participants' sitting behaviour, discomfort patterns, awareness of ergonomic products, and preferences regarding lumbar support, adjustability, material, and heating features. The findings revealed that static posture, prolonged working hours, and lack of lumbar support were the most common causes of discomfort among participants. A majority of respondents reported experiencing lower back discomfort after sitting continuously for 6-8 hours daily. Participants also expressed strong preference for adjustable lumbar support, memory foam cushioning, and integrated heating features that could provide relaxation and reduce muscle stiffness. The study further highlighted growing interest in ergonomic products that combine comfort, posture correction, and therapeutic benefits. The research concludes that integrating ergonomic design with heat therapy can improve sitting comfort, reduce musculoskeletal strain, and support better posture among desk workers. The proposed Ergo-Warm design offers a user-centred approach toward enhancing occupational comfort and well-being in modern sedentary work environments.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Ergonomics, Heated Backrest, Lumbar Support, Thermal Comfort, Posture, Musculoskeletal Discomfort, Desk Workers.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

?????? ???? ??? ???? ??????? ?????? ???? ??????? ??? ???? ????????? ?? ??? ??? ??? ??????? ?? ????? ?????? ???

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

????, ???????, ????, ?????? , ?????,

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

With the goal of enhancing effectiveness, transparency, and revenue performance, the GST is a significant change to India's indirect taxation structure. By contrasting Period before GST and Period after GST periods, the current study investigates the effects of GST on tax income and compliance behaviour. Secondary time-series data spanning 10 years--five years prior to and five years following the introduction of GST--are the basis for the analysis. Karl Pearson's correlation coefficient, an independent sample t-test, and comparative analysis are all used in this descriptive and analytical study. The t-test confirms that there was a large rise in tax collections during the Period after GST period. Additionally, correlation research shows a strong positive association between revenue and the number of registered taxpayers in both periods, with increased efficacy noted following the introduction of the GST. The results indicate that through a larger taxpayer base and better administrative procedures, GST has increased revenue generation and reinforced tax compliance. The study comes to the conclusion that GST has improved India's tax system's efficiency, but ongoing enhancements are needed to maintain long-term gains.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

GST, Tax Revenue, Tax Compliance, Indirect Taxation, Comparative Analysis, t-Test, Correlation Analysis

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Urinary tract infection, Pregnancy, Antenatal women, Perineal hygiene, Behavioral factors, Fluid intake

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Herbal cosmetics are gaining popularity because more people want safe and natural skincare products. This study focuses on making and testing a herbal face pack using plant-based ingredients that have been known for their healing properties for a long time. Natural remedies are becoming more popular because many people believe they are safer and have fewer side effects compared to synthetic options. There is an increasing demand for herbal products in the global market. Herbal face packs or masks help boost blood circulation, refresh the skin's muscles, maintain skin elasticity, and clean out dirt from pores. This project aims to create and test a cosmetic herbal face pack suitable for all skin types using natural ingredients in different amounts. The three formulations will include various local ingredients like sandalwood powder, orange peel powder, green tea, raktachandan, aloe powder, haridra, methi powder, and multani mitti. We prepared and tested face packs based on different factors such as color, look, thickness, how easily they wash off, pH level, bulk density, tapped density, total ash content, acid-insoluble ash, particle size, and their ability to fight germs. The herbal anti-acne formula includes a hydro-alcoholic extract made from neem leaves (Azadirachta indica) and nutmeg fruits (Myristica fragrans).

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Cosmetic, Herbal formulation, Evaluation, Skincare, Face pack, Skin, Ingredients, Natural remedy.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In the contemporary automotive manufacturing landscape, the effectiveness of outbound logistics has emerged as a critical determinant of operational continuity, customer satisfaction, and overall supply chain competitiveness. This study investigates the underlying causes of dispatch delays and process inefficiencies in domestic outbound logistics operations with specific reference to Uno Minda Seating Division, Hosur. The research systematically examines key operational variables including inventory mismatch, delayed system posting, documentation discrepancies, vehicle placement constraints, dispatch planning deficiencies, and interdepartmental coordination gaps that adversely affect delivery performance. Primary data for the study were collected from 75 respondents representing Warehouse, PPC, Production, Quality, and Logistics functions through a structured questionnaire. The collected data were analysed using Percentage Analysis, Chi-Square Test, and Correlation Analysis to derive meaningful managerial insights. The findings indicate that inventory inaccuracy and posting delays constitute the most significant contributors to dispatch inefficiency, while documentation lapses and inadequate transport coordination further intensify delivery disruptions. The Chi-Square analysis establishes a statistically significant relationship between inventory mismatch and dispatch delays, whereas correlation results reveal a strong positive association between interdepartmental communication and dispatch planning effectiveness. The study underscores the strategic importance of real-time inventory visibility, standardized operating procedures, integrated functional coordination, and proactive transport planning in improving logistics responsiveness. It concludes that the systematic elimination of process gaps and reduction of dispatch delays can substantially enhance operational efficiency, delivery reliability, and long-term competitive advantage for Uno Minda Seating Division.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Outbound Logistics, Dispatch Delays, Inventory Accuracy, Process Gaps, Supply Chain Efficiency, Automotive Industry

  License

Creative Commons Attribution 4.0 and The Open Definition