Volume 13 | Issue 3

 Abstract

Accurate energy demand forecasting is crucial for optimizing power distribution, reducing energy waste, and improving resource efficiency. Traditional forecasting methods often suffer from limitations in accuracy and scalability. Using a variety of algorithms, such as Support Vector Machine (SVM), Artificial Neural Networks (ANN), k-Nearest Neighbours (kNN), and XGBoost, this study suggests a machine learning-based method to forecast energy consumption. Real-world data from commercial buildings in Malaysia is utilized, considering the influence of environmental factors such as temperature. The dataset is pre-processed to deal with missing values and outliers in order to guarantee dependable model training. The predictive performance of different models is evaluated using metrics such as RMSE, NRMSE, MAE, and MAPE. The results indicate that machine learning models provide significant improvements in forecast accuracy, with ANN and KNN outperforming traditional approaches. This study contributes to energy management by offering an interpretable and scalable solution for demand prediction in smart grids.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Energy Demand Forecasting, Machine Learning, Artificial Neural Networks, k-Nearest Neighbors, Support Vector Machine, Predictive Modeling, RMSE.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

For energy management, policy planning, and guaranteeing a steady supply of electricity, accurate forecasting of electricity demand is essential. Forecasting models have been greatly enhanced by recent developments in artificial intelligence (AI) and machine learning (ML), which incorporate a variety of independent variables such as weather, economic factors, and historical consumption data. In order to improve forecasting accuracy, this study investigates the combination of machine learning models, specifically artificial neural networks (ANN), and multi-criteria decision-making techniques. A key challenge in electricity demand forecasting lies in selecting relevant input variables. This research employs a systematic approach to identify significant factors impacting demand and applies advanced ML techniques, such as Random Forest, LSTM, and Extreme Learning Machines, to develop robust predictive models. Comparative analysis using performance metrics like RMSE and MAPE demonstrates the effectiveness of AI-driven forecasting approaches. The findings contribute to the evolving landscape of energy demand prediction, aiding in efficient power system planning and optimization.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Electricity demand forecasting, machine learning, artificial neural networks, multi-criteria decision-making, energy consumption prediction, time-series forecasting, energy management.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The following paper illustrates the various resemblances in the narrative elements and discourse of Indian and Greek mythologies. With a Jungian understanding of the psychoanalytical importance of myths and its archetypes, the paper will dive deep into the aforementioned mythologies and fish out some interesting parallels between the plot, characters, conflict, setting and theme of the two. The paper will discuss how the underlying tone of various myths and mythical characters is the same and how despite the different language the essence of the mythologies remains the same. Monica Fludernik's essay- "The Structure of Narrative" would be used to understand the narrative discourse, structure and elements of the myths. An endeavor to perform a comparative analysis of the mythological epics- Homer's Iliad and Valmiki's Ramayana would be made. The paper would also attempt to explore the process of stories transcending into history and history transcending into mythology. Rahul Sankrityayan's Volga Se Ganga and the Parry-Lord theory will be used to understand the significance of the similarities between these mythologies and the possibility of a combined narrative and a collective narrator in context of migration and orature.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

archetypes, epic, gods, history, orality, narrative, narrative discourse, narrative elements, narrator, myth, mythology, storytelling

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The development of effective antimicrobial agents is critical in combating bacterial infections, particularly in the face of increasing antibiotic resistance. In this study, we explore the formulation of fraxidin-loaded antimicrobial nanoemulsion gel as a promising therapeutic approach. Fraxidin, a bioactive compound with known antimicrobial properties, has been encapsulated in a nanoemulsion system to enhance its stability, solubility, and bioavailability. The gel formulation was developed by incorporating the fraxidin-loaded nanoemulsion into a suitable gel matrix, designed for topical application. Characterization of the nanoemulsion gel, including particle size, zeta potential, encapsulation efficiency, and in vitro release studies, demonstrated the successful encapsulation of fraxidin and its sustained release profile. Antimicrobial efficacy was evaluated against common pathogens, with the fraxidin-loaded nanoemulsion gel showing significant inhibitory effects, as compared to free fraxidin, indicating an enhanced antimicrobial activity due to the nanoencapsulation. Furthermore, the gel formulation exhibited desirable rheological properties, stability, and skin compatibility, making it suitable for topical application. This research highlights the potential of fraxidin-loaded nanoemulsion gel as a novel, effective, and safe alternative for the treatment of skin infections and other microbial-related ailments. The results of this study contribute to the growing field of nanomedicine, demonstrating the therapeutic advantages of nanoemulsions in drug delivery systems for enhanced antimicrobial action.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Nanoemulsion, Antimicrobial study, Transdermal flux, Stability study, Skin irritation study

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Organic fertilizers maintain the soil structure and increase its nutrient holding capacity. They are easily biodegradable and free from environmental pollution. On the other hand, chemical fertilizers contaminate land and water resulting in the extinction of a number living organisms. Now a day's most of the people in rural India depend directly or indirectly on farming for their livelihood. They are using some traditional methods to prepare the liquid bio fertilizers for their crop land to enhance the soil quality, growth and yield of the plants. In this study the organic liquid fertilizers, amirtha karaisal and vermiwash effects were analyzed by their application to the plants Solanum lycopersicum (Tomato) and Abelmoschus esculentus (Lady Finger). And the results were compared to the control and inorganic fertilizer applied plants. The growth parameters such as seed germination, plants' height, internode, leaf length, leaf area index and number of leaves were significantly increased in organic liquid fertilizers applied plants (P<0.05).

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Amirtha karaisal, Vermiwash, Solanum lycopersicum, Abelmoschus esculentus , seed germination, height, internode, leaf length and leaf area index etc.,.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study examines the financial literacy and investment habits of women investors in Dakshina Kannada, India, focusing on the relationship between financial knowledge, self-efficacy, and investment decisions. Employing a quantitative research approach, the study uses a survey-based descriptive research design with a sample size of 200 women investors across all 8 taluks in Dakshina Kannada. The methodology included stratified random sampling and a structured questionnaire survey covering financial literacy levels, investment behaviours, and psychological influences. The major findings reveal moderate financial literacy among Women investors, with a preference for safer investment options, such as stocks, mutual funds, and fixed deposits. Most respondents demonstrated moderate risk tolerance and engaged in regular portfolio review. Wealth accumulation and retirement planning have emerged as primary investment goals. The study identifies a gap between financial knowledge and active investment practices influenced by socioeconomic and psychological factors. Suggestions include implementing targeted financial education programs to address behavioural biases, encouraging diverse investment strategies, and promoting gender equality in financial decision-making. This research contributes to the understanding of the challenges faced by women investors and highlights the need for tailored interventions to enhance their financial participation and decision-making capabilities.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Financial literacy, Women investors, Investment behaviour, Dakshina Kannada, Financial decision-making

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Handwritten digit recognition is a fundamental problem in the field of computer vision, with applications in automated postal sorting, bank check processing, and more. This paper presents an approach to recognizing handwritten digits using Convolutional Neural Networks (CNNs), a powerful deep learning technique known for its ability to automatically learn spatial hierarchies of features. We employ a CNN architecture that includes multiple layers of convolution, pooling, and fully connected layers to achieve high accuracy in digit classification. The model is trained on the MNIST dataset, a well-established benchmark in the machine learning community. The effectiveness of the CNN model is evaluated through various performance metrics, including accuracy, precision, and recall, demonstrating its superiority over traditional machine learning methods. Our results show that CNNs significantly outperform other classifiers in terms of accuracy, achieving near-human-level recognition rates. This study highlights the potential of deep learning techniques in automated handwritten digit recognition tasks.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

: Handwritten Digit Recognition, Convolutional Neural Networks, Deep Learning, MNIST Dataset, Image Classification,Character recognition, ReLU function, Feature extraction

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The lower classes are the poor working class people who eat the least and then take care of everyone else. They work the hardest and are the most disrespected--the superiors very muchBullying them easily. Deprived of the comforts of life, they are brought up on the surplus of the country's resources. Sadhan Chatterjee's 'Jaltimir'The picture of this crisis of the lower class is embodied in the novel. This crisis is related to globalization, because of globalization the lower class people are affected.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Lower class, globalization, arsenic

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The purpose of this research was to examine the effectiveness of SHGs in assisting women in the villages in the Darrang District and the neighbouring district of Morigaon to improve their economic standing. The primary data used to compile this study spans only a six-month time frame. From 18 SHGs across 3 villages, 200 participants were selected using a simple random sampling method. When people feel empowered, it's because they've gained a greater voice in decision-making and believe they have the authority to make their own choices. One way to gauge women's autonomy is by how much say they have in household decisions. Sixty-six percent of beneficiaries said their husbands make all the decisions, but more than a third of those surveyed said they had some say in the matter. This shows that women's economic status has increased as a result of their participation in SHGs and access to microfinance. Chi-square analysis of data from the Darrang district found that female SHG members were less likely to participate in decision-making compared to their female counterparts in nuclear families.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Self help groups, Women empowerment, Socio economic study, Entrepreneurship

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Environmental pollution is becoming a serious public health issue that affects the survival and sustainability of nature worldwide. The use of plants and related soil bacteria to lessen the absorption of harmful substances from the environment is known as phytoremediation. It is a relatively new technology that is well-liked by the public and is seen to be economical, productive, innovative, eco-friendly, and solar-powered. The use of plants and related soil bacteria to lower the levels of harmful chemicals in the environment is known as phytoremediation. It is a relatively new technology that is well-liked by the general public and is seen to be innovative, efficient, economical, and solar-powered. The only practical way to lessen the detrimental effects on ecosystem health may be to remediate soil contaminated by heavy metals. Similar processes to those of phytodegradation, phytovolatilization, phytoaccumulation, and phytoextraction form the basis of phytoremediation. These designs are lucrative, eco-friendly, and successful.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Phytoremediation, Heavy Metals, Reactive Oxygen Species, and Chlorophyll Content.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The increasing importance of Environmental, Social, and Governance (ESG) factors in industry economics has led to a growing need for effective ESG management. This paper rethinks ESG management by examining the role of governance structures and technological adaptation in promoting sustainable industry economics. We argue that traditional ESG management approaches are inadequate and that a more integrated and adaptive approach is needed. Our analysis highlights the importance of collaborative governance, digital technologies, and data analytics in enhancing ESG management. We also identify key challenges and opportunities for future research. The rapid pace of technological change in industry economies has significant implications for governance structures and the management of environmental, social, and governance (ESG) factors. This paper examines the interplay between governance structures, technological change, and ESG factors, and argues that traditional governance approaches are no longer sufficient. We propose a new framework for managing ESG factors that takes into account the complexities of technological change and the need for more adaptive and collaborative governance structures.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Environment; governance structures; technological adaptation; implication; challenges

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Hypertension is a major complication often associated with diabetes mellitus, significantly increasing the risk of cardiomyopathy, stroke, hyperlipidemia, ischemic cerebrovascular disease, and peripheral vascular disease. These complications contribute substantially to morbidity and mortality, especially among middle-aged and older individuals. Metoprolol tartrate, a beta-blocker, is widely used for the management of hypertension and prevention of cardiac complications in diabetic patients. The objective of this research was to develop a sustained-release (SR) formulation of metoprolol tartrate for once-daily administration to improve therapeutic efficacy and patient compliance. Sustained-release tablet formulations (F1 to F7) were prepared using release-retarding agents such as HPMC K100 and Eudragit RSPO. The granules for the SR tablets were evaluated for their flow properties to ensure uniformity and reproducibility during the manufacturing process. The formulated SR tablets were subjected to various evaluations, including weight variation, hardness, thickness, swelling index, and in vitro drug release studies. The optimized formulation (F7) demonstrated a controlled and sustained drug release for 12 hours, ensuring a consistent therapeutic effect. The results indicate that the developed sustained-release formulation of metoprolol tartrate offers an effective once-daily treatment option for hypertension. This novel formulation has the potential to enhance patient compliance, improve treatment outcomes, and significantly contribute to the management of hypertension and associated cardiovascular risks.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Hypertension, Metoprolol Tartrate, Hyperlipidemia, Cardiomyopathy

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Herbal or natural excipients offer significant benefits over their synthetic alternatives as they are non-toxic, more affordable, and readily available. With growing awareness about these natural excipients, which are primarily plant-based polymers, pharmaceutical industries are increasingly adopting them in formulation development. Natural gums and mucilages derived from plants, such as carrageenan, thaumatin, lard, storax, agar, gum acacia, and tragacanth, fulfill various pharmaceutical excipient requirements. The traditional idea of excipients as just inactive and inexpensive substances has changed a lot. Now, they are considered an important part of a drug formulation. Excipients are any ingredients added to a dosage form, other than the active drug. This article provides an overview of herbal excipients used in both conventional dosage forms and modern drug delivery systems. These natural ingredients are preferred for formulation development due to their stability and fewer regulatory concerns compared to synthetic options. Additionally, they can be easily modified to meet specific formulation needs, making them a cost-effective and efficient medium for delivering active pharmaceutical ingredients. This study highlights the potential of natural excipients as diluents, binders, disintegrants, and lubricants in different formulations, as they are biocompatible and provide added nutritional value to the dosage form.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Natural excipients, Plant-based pharmaceutical aids, Natural polymers, Herbal binders.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The paper explores Landscape and Identity in The Beautyful Ones Are Not Yet Born. By focusing on the symbolism reflected in literature, it focuses on identity in the postcolonial era with reference to nature showcasing the social, political, cultural and regional situation. It also focuses on the effects of colonialism in Africa and how literature serves as a medium for transmitting these experiences.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Landscape and Identity in The Beautyful Ones Are Not Yet Born

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In today's world, it is well documented that the adolescence are considered to be most vulnerable group for the various health hazards. They are more attracted towards the fast food that might lead them to wide range of diseases like cancer, cardiovascular disease, Alzheimer's disease etc. But antioxidants are a diverse group of chemicals that can be naturally found in vegetables, fruits and plants in general and even synthesized in our body. The diet containing these food items provides healthy body, increased memory, higher immune status and protect from many non- communicable diseases. Here the study focused to assess the knowledge level of antioxidants among adolescence in selected schools of Bangalore.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Nutritional Education , Antioxidants, Adolescence, Effectiveness

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

India's economy has its foundation in micro, small, and medium-sized enterprises (MSMEs) particularly in the textile sector, which also creates employment and exports. In Lucknow, Ada Designer Chikan Studio is an MSME that deals with Chikankari embroidery, a traditional craft that has been given a modern twist through its designs. This is because a large number of businesses are family owned and hence financial information may not be readily available. The main purpose of this research study is to assess the profitability of a case MSME, Ada Designer Chikan Studio in comparison to the MSME textile sector and a subset of MSMEs. Profitability is a function of return on equity (ROE), return on assets (ROA), net profit margin (NPM), and gross profit margin (GPM) when it comes to assessing the financial performance of a company. It also highlights the position of the company in the small and medium-sized textile industry. The findings of the study conducted with the help of fictional data show that Ada Designer Chikan Studio is a very profitable firm and outperforms its peers in many respects. The study admits that the use of simulated financial data is a limitation and expects that further investigation with real data will produce more accurate results.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

MSME, Textile Sector, Chikankari Embroidery, Ada Designer Chikan Studio, Profitability, Financial Performance, Return on Equity (ROE), Return on Assets (ROA), Net Profit Margin (NPM), Gross Profit Margin (GPM)

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Disaster, as defined by the United Nations, is a serious disruption of the functioning of a community of a society, which involves widespread human, material, economic or environmental impacts that exceed the ability of the affected community or society to cope using its own resources. Disaster management is how we deal with the human, material, economic, or environmental impacts of said disaster. It is the process of how we "prepare for, respond to, and learn from the effects of natural disasters." Disaster management plays a crucial role in protecting lives, safeguarding infrastructure, and promoting sustainable development. The Disaster Management System is a unique & indigenous technology system made for individuals to have enough preparatory resources to cope up with any kind of disaster if unfortunately stuck with it. The website is practical and easy to navigate through and will prove to be useful for swift retrieval of information.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Diaster Management

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

ABSTRACT Background: Lichen sclerosus is a chronic inflammatory skin disorder that most commonly affects women before puberty or after menopause. Lichen sclerosus is characterized by skin changes of the external genitalia. The most common distribution is involving the vulva and perianal area. The head of the penis and other parts of the body may also be affected. In fact, this skin condition can affect any skin surface with the most common extra-genital sites being on the trunk, a limbs.1 Extragenital involvement is found in approximately 11% of women and is rare in men. Extragenital involvement alone is uncommon and has been reported in about 6% of all women with LSA. The aetiology of LSA is unclear, but genetic, physiological and environmental factors are thought to be involved. Objective: To describe the clinical features and complications of disease and discuss the current management. Methods: Detailed history, physical examination and histopathology findings, a diagnosis of generalized lichen sclerosus Et atrophicus (LSA) was made. Other laboratory examinations were unremarkable. Conclusion: Generalized type is rare and genital involvement is most frequent and often the only site of involvement. As there is no standard treatment for LSA, the patient received various treatments for topical steroid, tacrolimus and narrow -band ultraviolet B therapy. The skin lesions has softened and its color improved after treatment. As, this case is reported an uncommon type of LSA with generalized hyper pigmented and sclerotic skin lesion in a postmenopausal female patient.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Generalized, Lichen sclerosus Et atrophicus.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Dylan Thomas, a Welsh poet by origin is undoubtedly one of the best lyric poets of modern English literature. He was not merely a genius poet , he has shown his versatility in prose,drama,short story, script writing also. He was gifted with a rare eloquence that could easily get thundurus applause and acclamation of a large audience. During his period he was considered as a legend who could easily mesmerize people through his poetry. Dylan's poetry contains themes that are concerned with the fundamental problems of life- birth , death , body, life , subconscious, decay , time etc . All these topics are characteristics of surrealist poetry also . Dylan was keenly interested in the human psyche, especially the subconscious and unconscious.His uncanny insight to dig deep into the psyche reflects in his poetry; a reflection of true surrealist poetry.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Subconscious, death, life, body, time

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Included

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Included

  License

Creative Commons Attribution 4.0 and The Open Definition