Volume 13 | Issue 4 |

 Abstract

The present study focuses on the formulation and evaluation of herbal paper soap enriched with natural extracts to provide effective cleansing while offering medicinal and skincare benefits. Herbal extracts such as, Marigold (Calendula) and other ingredients were incorporated into the soap formulation to enhance its antibacterial, antifungal, and moisturizing properties. The soap was prepared by impregnating the herbal formulation onto a biodegradable paper base to create a portable and eco-friendly alternative to conventional soaps. The formulated herbal paper soap was evaluated based on various parameters, including physical appearance, folding endurance, weight variation, pH, foam stability, and microbial efficacy. The results indicated that the herbal paper soap exhibited good cleansing properties, appropriate pH for skin compatibility, and effective microbial activity. Additionally, the paper soap showed uniformity in weight and excellent folding endurance, ensuring ease of handling and use. In conclusion, the herbal paper soap formulation demonstrated promising results as an ecofriendly, cost-effective, and convenient alternative for maintaining personal hygiene while offering therapeutic benefits. This innovative approach provides a sustainable solution to promote natural skincare and environmental safety.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Herbal paper soap, formulation, evaluation, natural extracts, Calendula, and other ingredients antibacterial, antifungal, eco-friendly.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Renewable Energy, Sustainable , Solar Power, Green Metro

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Lokpalsagar pond in Panna district of Madhya Pradesh holds significant ecological and hydrological importance as a key element of the local ecosystem. This study aims to evaluate the hydro-edaphic (soil-water) characteristics of the pond to better understand its ecological role. Parameters such as water quality, soil texture, and nutrient availability were assessed to determine their impact on biodiversity and ecosystem functions. The findings indicate that the pond serves as an important water source, especially during dry periods, and acts as a reservoir of nutrients and moisture. Water quality with balanced pH, adequate dissolved oxygen, and low contamination indicate that the pond is healthy and supportive of aquatic life. The pond plays an important role in maintaining the local ecosystem, contributing to biodiversity, and maintaining ecological balance in the area.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Lokpalsagar pond, Hydro-Edaphic, Ecology, Biodiversity,

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In industrial, commercial, or institutional settings, the Scrap Management System is a digital solution that optimises and streamlines the collecting, sorting, tracking, and disposal of scrap materials. Scrap production is an unavoidable aspect of industrial and manufacturing operations. Ineffective operations, higher expenses, and adverse environmental effects might result from improper scrap management. In order to effectively track, manage, and reduce the amount of scrap materials generated during production, this project focusses on the creation and implementation of a scrap management system. In order to facilitate improved monitoring and decision-making, the system attempts to offer an organised method for documenting the kind, amount, and source of scrap. Additionally, it promotes recycling and appropriate disposal methods, which help to maintain a sustainable environment. The solution supports adherence to industry standards, enhances operational efficiency, and lowers manual error rates by combining digital tools and automation. Conventional scrap processing frequently has environmental non-compliance, inefficiencies, and a lack of responsibility. It reduces human error, enhances resource recovery, and promotes sustainable practices by automating critical operations. In the end, this initiative helps to conserve the environment, cut costs, and manage trash effectively

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Scrap management, Disposal

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Blood tests that show your group type support both medical testing and blood transfusions while responding to emergencies. The performance of standard blood typing assessments needs specialized laboratory equipment alongside technical specialists and takes significant processing duration. The proposed research presents a non-invasive approach to forecast blood groups directly from fingerprints which cuts down testing expenses and speeds up identification processes. The study employs Inception V3 on fingerprint samples from Kaggle to detect blood group information. The study evaluates depth learning enhancements caused by RMSprop SGD alongside Adam through their performance in blood group predictions along with reduced training durations. The procedural method demonstrates successful blood type identification from fingerprint pictures according to experimental validation results. Our method provides a blood type testing transformation that advances low-resourced medical facilities. The research team aims to develop models that perform effectively with various population groups through system implementation for healthcare facilities.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Blood Group Identification, Inception V3 Model, Finger Print Detection, Blood Tranfusions, Healthcare Environment.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Sustainable fashion has begun to attract the attention of contemporary consumers amidst the growing discussions on environmental protection and ethical production. The present study was conducted in Coimbatore city to investigate the awareness of consumers regarding sustainable fashion apparel and how their views can be related to the growth of this niche. It aimed to examine consumer perceptions, needs, and expectations and identify the factors that affect their purchasing behavior. A sample size of 120 respondents was selected using convenience sampling, and data were then collected using a structured questionnaire. To analyze the findings, simple percentage analysis was employed to interpret the distribution of responses, while Chi-square testing was used to test for relationships among variables, such as level of education and acceptance of feedback. The findings illustrated that people are becoming more aware of sustainability in fashion, yet price, product availability, and convenience of access remain important factors driving their decision-making. Interestingly, the Chi-square test found no significant relationship between educational background and whether consumers believed their feedback is acted upon by companies. It could thus be concluded that while people are somewhat aware of sustainable fashion, awareness has, however, not yet been translated into sustained buying behavior. There is an urgent need for companies to communicate better, create personalized experiences, and adopt visible sustainability initiatives to gain trust and loyalty from consumers.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Consumer Awareness, Sustainable Fashion, Consumer Feedback

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Linum usitatissimum L. (flaxseed/linseed) is an important medicinal crop of family linaceace grown for its edible seed, the oil from the seed and for the fibres obtained from the caffeine. Induce mutagenesis plays a vital role in crop improvement by inferring variations in germplasm and is preferred over hybridization and recombination because it improves a defect in an otherwise elite cultivar, without losing its agronomic and quality characteristics. In present investigation Linum usitatissimum var. Shekhar was exposed with five different mutagenic dose of four mutagens viz caffeine and Sodium azide (SA) i.e, 0.10%, 0.25%, 0.50%, 0.75% and 1.00% and heavy metals lead nitrate and cadmium nitrate i.e. 20, 40, 60, 80 and 100 ppm. Seed germination, plant survival and pollen fertility was found to be decreased in treated population than control in all the mutagens. The higher concentrations of mutagens significantly reduced plant height, branches per plant and various yield parameters. The present study reveals moderate concentrations of each mutagen induce mutagenic damage in Linum usitatissimum var. Shekhar which can facilitates screening of desirable mutant in M2 and M3 generations. On the basis of these results, it was concluded that lower concentrations of mutagen did not significantly affect the morphology of Linum, while higher concentrations of four mutagen were found to be more mutagenic.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Linum usitatissimum L., linseed, chemical mutagen, caffeine, SA, Pb(NO3)2, Cd(NO3)2

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study has been done to study the impact of integrated education of arts in Hindi and Hindi subjects in council primary schools of Pilibhit district.The purpose of this study is to explore how incorporating the arts into educational programs improves students' academic achievement.The study compared students receiving and not receiving arts integrated education in digital and digital subjects. The second hypothesis predicted that arts integrated education would have no significant impact on students' academic achievement.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Art integrated education, primary level school, achievement of students, Art integrated education in language, Art integrated education in music

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: Affecting 1% of those over 55, Parkinson's disease [PD] is the second most prevalent neurological illness after Alzheimer's disease. Lewy bodies and a gradual loss of dopaminergic neurons in the substantia nigra pars compacta are hallmarks of the underlying neuropathology observed in Parkinson's disease. The Lewy bodies are made up of ?-synuclein aggregates. Bradykinesia, muscle rigidity, and resting tremor are among the motor symptoms of Parkinson's disease. Parkinson's disease (PD) patients typically exhibit bradykinesia, rigidity, rest tremor, and stooping posture, among other motor and non-motor symptoms. PD is also linked to autonomic dysfunction (such as orthostatic and Hyperhidrosis), cognitive impairment (dementia), and neurobehavioral disorders (such as anxiety and sadness).Medical pharmacologic treatments and cutting-edge surgical procedures like deep brain stimulation (DBS) have proliferated in recent decades. The mainstays of Parkinson disease treatment include deep brain stimulation for patients experiencing uncontrollable LDOPA-related motor complications, non-dopaminergic methods to treat both motor and non-motor symptoms, and medication replacement of striatal dopamine. Lifestyle changes are helping to avoid Parkinson's disease. Yoga and other physical exercises lower the risk of Parkinson's disease.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Bradykinesia, muscle rigidity, cognitive impairment, orthostatic, Parkinson's disease.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Floods are one of the major natural hazards across the globe. They have devastating consequences, impacting livelihoods, businesses, agriculture, and more. Therefore, effective flood management is essential to handle such crises. One crucial aspect of effective management is the early identification of submerged regions. This enables timely alerts to responsible authorities and citizens. This article presents an approach for segmenting flooded areas in satellite images using a hybrid neural network architecture built upon the U-Net framework. By analyzing images of pre-disaster and post-disaster events, the model can effectively identify changes in water bodies and land cover. This research has the potential to make a significant impact on flood mitigation strategies within the Indian subcontinent.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

U-net, Deep Learning, neural networks, satellite images, flood

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Creative Commons Attribution 4.0 and The Open Definition