Volume 12 | Issue 5 |

 Abstract

Abstract The much-needed educational transformation in India, known as STEM education, has the power to revolutionize the development of a child's future. By equipping students with STEM skills that will be in high demand in the coming years, STEM learning lets them become the leaders of tomorrow. Students will have the opportunity to realize their full potential and acquire a new, engaging approach to learning concepts through participating in STEM learning-based activities.It makes students future-ready by teaching them skills that will be in demand in the upcoming years.Hence, this study aims at exploring the enormous potentials that can be achieved through the implementation of STEM Education at the secondary school level. This study was conducted using the survey method with 50 secondary school teachers as the study samples. The data were collected using opinionnnaire and analyzed using quantitative descriptive analysis. The study results revealed that STEM education implemented at secondary school level helped in the development of the higher cognitive abilities of the learners, such as problem solving, critical thinking, creative thinking etc. On the whole it could be understood that STEM education has enhanced the performance rate of the learners and brought about drastic change in the learning outcomes of the learners which ultimately result in the all-round development of them.

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 Keywords

STEM Education, Secondary School Level

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Transformer is one of the important components of the power system, capable of transmitting and distributing the electricity generated by renewable energy sources. Dissolved Gas Analysis (DGA) is one of the effective techniques to diagnose early faults in oil-immersed transformers. It correlates the concentration and ratio of dissolved gases with transformer faults. Researchers have proposed many methods for fault diagnosis, such as double ratio method, Rogers method, Duval triangle method, etc., but all of them have some problems. Based on the strong data mining capability and good robustness of AI techniques, many researchers introduced AI techniques to mine the features of DGA data. According to the characteristics and scale of DGA data, researchers select appropriate AI techniques or make appropriate improvements to AI techniques to improve diagnostic performance.

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 Keywords

fault diagnosis, power transformer, artificial intelligence, data mining, dissolved gas analysis

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

School children often face challenges in consuming pure goat milk on a daily basis due to its unpleasant taste and odor, along with its short shelf life. To address these issues, converting goat milk into tablets offers a practical solution. This transformation not only enhances the product's shelf life but also facilitates easier consumption, particularly for distribution in remote areas. The primary focus of this project was formulating goat milk tablet by using direct compression method and also enhance hardness and disintegration of tablet. Direct compression techniques were instrumental in improving the poorly flowing properties of goat milk powder. This method effectively enhanced the flow ability and compressibility of the tablets, resulting in uniform weight, low friability, and optimal hardness. Thus, the development of goat milk tablets represents a significant advancement in making this nutritious product more accessible and appealing to school children.

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 Keywords

Goat milk, direct compression, tablet dosage, oral forms, nutraceutical, goat milk tablets.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Human hair significantly influences one's personality, and various cosmetic products are used to maintain it. Herbal remedies often outperform synthetic formulations due to their effectiveness and minimal side effects. This study aimed to evaluate the benefits of polyherbal products in addressing common hair issues such as baldness, alopecia, hair loss, grey hair, dryness, and dandruff. Many cosmetics are utilized daily for their diverse applications. People use these products to enhance their appearance and maintain a youthful, appealing look. Activating hair roots is essential for promoting hair growth and reducing hair loss. Herbal treatments remain popular among the general public due to their lower risk of side effects and high safety profile. The objective of this study was to develop a general-use herbal hair serum using various natural ingredients. The formulated oil was tested for viscosity, pH, acidity, and saponification value, among other properties, and all parameters were found to be within acceptable standards.

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 Keywords

Polyherbal, Alopecia, Cosmetics, Formulation, Viscosity, Dandruff.

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 Abstract

The experiment was conducted to determine the effect of Banana peel liquid organic fertilizer on the growth of mustard plants. The mineral fertilizers applied to the soil, provide the plant nutrients but ultimately results in environmental pollution. Liquid organic fertilizers increase the soil fertility and enhances the plant growth and yield. There is no toxicity by using excess amount of Liquid fertilizer. Mustard plants showed more growth in soil supplemented with banana peel fermented water. This was observed by measuring growth parameters.

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 Keywords

Liquid organic fertilizers, Banana peel, Fermentation.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Herbal cosmetics are the preparations used to enhance the human appearance. The aim of the present research was to formulate the herbal Cream for the purpose of Moistening, Nourishing & Treatment of various diseases of the skin such as scabies, eczema, ringworm and other bacterial infection. Different herbal ingredients like camphor, coconut oil, sulphur, bees wax and borax are taken to prepare this antibacterial cream. Evaluation of the final cream done by using different evaluation methods, such as Colour, odour, appearance and different test like Stability Test, spread ability test, wash ability test, PH. The results shown that cream gave satisfied results.

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 Keywords

herbal Cream, scabies, eczema, bacterial infection, camphor.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A Cone-in-cone Morse taper connection between abutments and crowns has been proposed to retain implant supported definitive fixed dental prostheses (FDPs). The "Conometric Concept," a prosthetic technique, was applied to preserve zirconia and lithium disilicate (LS2) restorations. In order to keep an implant-supported restoration without the use of screws or cement, the conometric idea involves creating a cone-in-cone relationship between an abutment and the corresponding coping. Prefabricated parts are used to fit the restoration into the abutment. Conical coupling abutments function without cement by utilizing friction between the abutment and the titanium coping to hold a prosthesis in place. A spring-fixed partial denture remover can be used to remove the restoration with ease, as it lacks any access holes. The emergence profile of the restoration can be placed sub-gingivally without the risk of cement remaining at the abutment coping interface. The main objective of this study is to critically review articles that have used conometric concept and to evaluate its clinical effectiveness.

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 Keywords

IMPLANT-SUPPORTED DENTAL PROSTHESIS; FIXED PARTIAL DENTURE; CONOMETRIC CONNECTION; DENTAL IMPLANT ABUTMENT DESIGN, CLINICAL OUTCOME

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 Abstract

Helminth parasites are found in freshwater environments across the globe, including rivers, lakes, ponds and wetlands. The distribution of helminths is influenced by factors such as climate, water quality, host availability, and the presence of intermediate hosts or vectors. Climate plays a significant role in determining the distribution and prevalence of helminth infections. Prevalence of helminth infection in fishes shows strong, very strong and very weak correlation with temperature and dissolved oxygen according to seasons.

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 Keywords

Helminth, Dindori, Prevalence, Narmada river

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 Abstract

Unmanned Aerial Vehicle (UAV) is commonly known as Drone. It is extensively being used these years. Nowadays drones are used in various Military applications, Commercial Cargo Transport, and 3-D Mapping etc. For supporting the weight of the plane, and shock absorption functions, landing gear design is highly needed. Unmanned aerial vehicles (UAV) are the logical successors to modern aircraft and advancements in automated technology. The current generation of UAVs is focused on wartime capabilities and reconnaissance, leaving an existing market untapped by UAV technology: the commercial field. There are thousands of applications for UAV technology in the civilian market, from quick response applications and media outlets to communication technicians and horticulturalists. Drones represent a compelling subject of inquiry, prompting an exploration into their intricate mechanics, constituent elements, and their expansive array of applications that profoundly shape their future prospects. Integrating principles from electronics, mechanical engineering, and particularly aviation, drones epitomize a convergence of diverse disciplines. These aerial vehicles manifest in various forms, categorized by distinct configurations such as bicopters, tricopters, quadcopters, hexcopters, octocopters, and more.

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 Keywords

Unmanned Aerial Vehicle(UAV), Artificial intelligence(AI), Random Access Memory(RAM), Integrated Development Environment (IDE), Visual Studio

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 Abstract

Businesses operating on small to medium scale face a significant challenge known as the long-tail phenomenon. Each business vendor may have low individual demand, however, collectively it represents a substantial market share. As online markets continue to expand and diversify, navigating this long tail becomes increasingly complex and presents a growing obstacle for businesses aiming to reach their target audience effectively. This escalating problem underscores the pressing need for innovative solutions to facilitate the growth and success of small enterprises in the competitive landscape of online marketplaces. In navigating the multifaceted landscape of product catalogues, the study delves into the exploration of Machine Learning and Deep Learning based techniques that could help e-commerce collect data and use it to optimize its business operations, and increase profits and revenue. This study talks about Opinion Mining, Sales Prediction, Dynamic Pricing, Product Recommendation and Market Segmentation - aiming to develop a framework so versatile as it fits with any type of products catalogue, serving multiple businesses through a unified tool. The techniques used to achieve the aim are inclusive of but not limited to RoBERTa, K-Means Clustering, Regression, and Time-Series Analysis. This issue has been addressed by various familiar entities, and numerous solutions have been discussed. This study throws focus on the basic methodologies with minimal computational, development, and maintenance costs, further developments have been discussed, which leverage the publicly available AGIs - Artificial General Intelligence featuring GPT.

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 Keywords

Deep Learning, Machine Learning, E-Commerce, Artificial Intelligence, Sentiment Analysis, Opinion Mining, Product Recommendation, Dynamic Pricing, Sales Prediction, Market Segmentation, Customer Segmentation, Prescriptive AI, Business Intelligence, Neural Networks, RoBERTa, Support Vector Machines, Transformers, K-Means Clustering, Time-Series Forecasting, Time-Series Analysis, Linear Regression.

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