Volume 13 | Issue 6 |

 Abstract

This study analyzes the financial performance of G.M. Industries, a mid-sized manufacturer of pumps and motors operating for over 15 years. The analysis focuses on assessing the company's profitability, liquidity, and solvency by examining financial data from 2019-20 to 2023-24 using ratio analysis, trend analysis, and comparative financial statements. Key findings highlight the company's improving financial health, with a strong current ratio of 2.20 in 2022-23, a gross profit ratio of 75.88% in 2023-24, and a notable net profit ratio of 48.47% in 2023-24, reflecting cost efficiency and profitability. However, the study identifies areas requiring attention, such as the declining absolute liquid ratio and fluctuating debt-to-equity ratio, which peaked at 1.04 in 2020-21, indicating periods of higher financial risk. The research provides valuable insights for management to enhance operational efficiency, improve cost control, and strengthen financial stability. By addressing identified gaps and focusing on sustainable growth strategies, G.M. Industries can continue to strengthen its market position and maintain long-term profitability.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Financial Performance, Ratio Analysis, Liquidity, Profitability, Solvency, G.M. Industries, Manufacturing Sector

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Antenatal exercises contribute significantly to the well-being of pregnant women and fetal development. The present quantitative study evaluates the knowledge of antenatal exercise among pregnant women at CHC Sanwar, Indore, MP. A total of 40 pregnant women participated in the study, with 10 participants assessed before a structured teaching program (pre-test group) and 30 assessed post-intervention (post-test group). The knowledge scores were compared using independent t-test. The post-test scores showed a statistically significant improvement, indicating the effectiveness of the teaching intervention.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

A Quantitative Study to Assess the Knowledge Regarding Antenatal Exercise Among Pregnant Women at CHC Sanwar, Indore, MP.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

There were a total of 24 species identified during the 2022 Pre-monsoon season in the Upper Lake Bhopal insect fauna, according to the current investigation. These 24 aquatic bug species were divided into 6 orders and 21 families. The lake's site with the most vegetation contained a maximum of 23 species of aquatic insects, whereas the lake's site with the least vegetation contained 9 species. The insect fauna from the order Hemiptera dominated over Diptera.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Aquatic insects, Upper Lake, Pre-monsoon, Diversity

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The demand for cosmetics has seen a significant rise in recent times, with a multitude of individuals incorporating these products into their daily routines. Cosmetic usage is prevalent as people seek to enhance their beauty and maintain a youthful appearance. Among the various cosmetic options available, herbal cosmetics have gained popularity due to their perceived lower side effects and improved safety profile.Hair, being a prominent feature of the body, serves as a protective element. In light of this, the primary aim of this study is to develop an herbal hair serum suitable for general daily use. The formulation incorporates a blend of herbs aimed at evaluating the characteristics of the cosmetic serum and determining the optimal formulation. Three formulations (F1, F2, and F3) with varying excipient concentrations were developed and subjected to evaluation for physical appearance, pH, homogeneity, viscosity, spreadability, and stability. Results indicate that all formulations meet established standards, demonstrating favorable physical attributes and stability. Furthermore, current research underscores the effectiveness of herbal formulations in improving hair quality and consistency.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Cosmetic, hair, herbs, formulation, effective,

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Women are the worst sufferers during conflict and yet they are significantly absent from all efforts to mitigate it, all endeavours to record it and all initiatives to resolve it. War being a masculine construct has hardly allowed women space to record their experiences since times immemorial. Nevertheless, the changing face of violent conflicts in the twenty-first century, urges reconsideration in the discriminatory practices that disregard the permanent and often devastating consequences of wars on the lives of women. An intersectional perspective that includes the intricacies of race, gender, religion, background, geographics and politics, must be endorsed so as to understand the overall impact of armed conflicts on the other half of the population. In addressing the reckless erasure of women's histories and experiences, particularly of sexual violence, women must shoulder the responsibility of representation, hence standing in solidarity for the mute voices drowned away by the cacophonous business of warfare. This research paper proposes to study Nadia Murad's The Last Girl and Christina Lamb's Our Bodies Their Battlefield as examples of the agency of women in regrouping and rebuilding from their shattered, limiting and chaotic surroundings.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Women, Conflict, Peace, Security, War, Gender Based Violence, Displacement.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: Phishing is a major cybersecurity threat that tricks users into revealing sensitive information through deceptive websites. Traditional methods like blacklists and browser alerts often fail to detect newly crafted or obfuscated phishing URLs. This project presents a Phishing Detection System using Hybrid Machine Learning, which combines multiple supervised algorithms--Logistic Regression, SVM, Decision Tree, Random Forest, Gradient Boosting, and XGBoost--within an ensemble voting framework. URLs are converted into numerical vectors using TF-IDF, allowing the models to detect hidden patterns and anomalies. A majority voting mechanism enhances detection accuracy and system robustness. The solution is implemented with a user-friendly interface using Streamlit, enabling real-time URL classification without relying on external APIs or blacklists. It is lightweight, scalable, and capable of operating offline, making it ideal for integration into browsers, email systems, or enterprise security tools. Tested on real-world datasets, the system achieves over 95% accuracy while maintaining high performance under load. This project highlights the effectiveness of hybrid machine learning in phishing detection and offers scope for future improvements, such as deep learning integration and browser plugin development.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Phishing Detection, Machine Learning, Hybrid Model, URL Classification, Ensemble Learning, Cybersecurity, TF-IDF, Streamlit

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This project aims to develop innovative micro-cooling devices inspired by natural cooling strategies employed by organisms in hot and dry climates. By mimicking these biological mechanisms, we seek to create sustainable and energy-efficient solutions to address the increasing demand for cooling in such environments. The project will involve a multidisciplinary approach, combining biomimicry, materials science, and thermal engineering to design and fabricate micro-scale devices capable of passively cooling surfaces and spaces. The performance of these devices will be evaluated through rigorous experimentation in a controlled laboratory setting, as well as in real-world conditions. The findings of this research will contribute to the development of sustainable building technologies and contribute to mitigating the impact of climate change.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

BIOMIMICRY, Passive cooling system,Hot and Rid climate design, Jaali wall

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Road traffic accidents remain a significant global concern, resulting in substantial loss of life, injuries, and economic burden. This study presents a data-driven approach for predictive modeling of road accidents using advanced machine learning (ML) techniques to enhance traffic safety. Leveraging historical accident datasets and incorporating variables such as weather conditions, traffic volume, road types, and temporal features, various ML algorithms--including Random Forest, Support Vector Machine (SVM), and Gradient Boosting--are evaluated for their predictive performance. Feature selection and data preprocessing methods are applied to improve model accuracy and interpretability. The results demonstrate that ensemble-based models outperform traditional methods in identifying high-risk conditions and accident-prone zones. The findings offer actionable insights for traffic management authorities, enabling the development of proactive safety strategies and data-informed policy-making. This research highlights the transformative potential of machine learning in predicting and mitigating road accidents, paving the way for smarter and safer transportation systems.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Road Accidents, Predictive Modeling, Machine Learning, Traffic Safety, Data-Driven Approach, Accident Prediction, Random Forest, Support Vector Machine, Gradient Boosting, Traffic Management.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The growing accumulation of waste rubber and the demand for environmentally sustainable construction materials have prompted significant interest in alternative concrete technologies. One such approach involves the partial replacement of fine aggregate with crumb rubber and cement with silica fume. This combination has demonstrated potential in enhancing the mechanical and durability properties of concrete while mitigating environmental impact. This review systematically examines existing literature on the use of crumb rubber and silica fume in concrete, with emphasis on their influence on workability, compressive strength, performance, toughness, and long-term durability. Additionally, the effects of mix design variables, curing conditions, and replacement ratios are evaluated. While crumb rubber tends to decrease strength parameters, the inclusion of silica fume can effectively compensate for these losses and improve overall performance. The synergistic use of these materials presents a promising route toward more sustainable and high-performance concrete. This paper also identifies key research gaps and outlines future directions for optimizing these materials in both structural and non-structural applications.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

CRUMB RUBBBER, SILICA FUME, CONCRETE

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This research examines the creation and utilization of paver blocks derived from granules of waste rubber tires and ground materials from plastic bottles, with the goal of offering an environmentally friendly substitute for traditional paving materials. The main aim is to tackle the environmental issues caused by non-biodegradable waste by transforming these materials into robust construction products. This study highlights the increasing environmental concerns associated with waste disposal and the construction sector's significant need for sustainable materials, which have spurred investigations into alternative building resources. This research delves into the assessment of eco-friendly paver blocks produced from rubber granules (recycled from discarded tires) and post-consumer recycled plastic. The objective is to minimize waste while improving the physical characteristics of paver blocks. In this study, different ratios of rubber granules and recycled plastic are incorporated into standard cement-based mixtures to create the paver blocks. The performance of these modified blocks was thoroughly evaluated through a series of tests, including compressive strength, water absorption, abrasion resistance, and flexural tests. The findings indicated that the addition of rubber granules significantly enhanced the flexibility, shock absorption, and impact resistance of the pavers, while the recycled plastic contributed to greater durability and wear resistance. Although a minor decrease in compressive strength was noted with increased rubber content, the overall performance of the eco-friendly blocks was found to be comparable to or even superior to that of conventional pavers in several critical areas. The study verifies that utilizing rubber granules and recycled plastic not only mitigates environmental impact by recycling waste materials but also yields paver blocks with enhanced mechanical properties, establishing them as a feasible alternative for sustainable urban infrastructure. These results emphasize the opportunity for recycled materials to play a role in the advancement of green infrastructure and offer a budget-friendly substitute for traditional construction techniques.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Paver Blocks, Waste Rubber Granules, Plastic Crushed, Sustainable Construction.

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Creative Commons Attribution 4.0 and The Open Definition