Volume 12 | Issue 3 |

 Abstract

HPLC is one of the most important analytical techniques used for both qualitative and quantitative analysis of the compounds. It works on the principle of adsorption where there are two phases one is stationary phase and the other one is the mobile phase. The Food and Drug Administration (FDA) is in charge of ensuring the security, safety, and efficacy of pharmaceuticals for humans and animals, biological products, medical equipment, food supplies in the country, cosmetics, and radiation-emitting goods in order to safeguard public health. When a medication is approved by the FDA, it indicates that the FDA has concluded that the drug is safe and effective for the intended use. When the medication is taken as prescribed by a licensed professional, its advantages exceed its drawbacks. The present review highlights the HPLC methods developed for recently approved US-FDA drugs.

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 Keywords

HPLC, analytical technique, mobile phase, stationary phase

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 Abstract

: In the contemporary music landscape, it's a fallacy to believe that only those with expert knowledge in music can create high-quality tunes. Music enthusiasts, regardless of their expertise, can produce music that resonates. Music is a universal language that many enjoy, and the advent of automatic music generation stands as a potential revolutionary milestone in the music industry. Traditionally, music was created manually using analog processes. However, recent advancements have seen music production pivot towards digital methodologies, with technology playing a supporting role alongside human creativity. This paper outlines the development of generative neural network frameworks capable of capturing the intricate aspects of harmony and melody autonomously. It provides a concise overview of music's fundamental characteristics, citing relevant sources where necessary. The core aim of the research is to develop a method for generating musical compositions using Long Short-Term Memory (LSTM) networks within the framework of Recurrent Neural Networks (RNNs). The generated compositions are initially in ABC notation, a method for music representation, which is subsequently transformed into MP3 format for broader accessibility. ABC notation serves as the chosen format for training the model, splitting into metadata that details the characteristics of the music, such as index, time signature, default note length, and tune type, and the actual musical notes represented by a series of characters. The algorithm is designed to master the patterns of monophonic music through a trio of single-layered LSTM networks, showcasing its ability to learn and replicate musical sequences efficiently.

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 Keywords

Music generation - Indian classical music - LSTM (Long Short-Term Memory) - RNN (Recurrent Neural Network) - Machine learning - Deep learning - Neural networks - Data preprocessing - Data augmentation - Feature extraction - Model training - Model evaluation - Music composition - Musical analysis - Melodic patterns - Rhythmic patterns - Tala - Ragas - Gamakas - Alankars - Swaras - Music performance - Music appreciation - Music education

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One species of flowering plant in the spurge family (Euphorbiaceae) is castor (Ricinus communis L.). It started in east Africa and then moved throughout the world's warm temperate, subtropical, and tropical regions. Castor oil is a raw ingredient in this basket. Herbal medicine has grown at an exponential rate in the last few decades. It is applicable to fields such as decorative, industrial, medical, and agriculture. The area of ecological planting technology includes the current invention. It takes medicinal plants to keep people healthy. There are over 7,500 species and 300 genera in the large family Euphorbiaceae. Those are usually the plants that flower. Ricinus communis is the plant that is most valuable to preserve for use in traditional medicine.

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 Keywords

Ricinus communis, basket, and diversified uses.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Psidium guajava seed oil, bamboo wipes, non-woven fabric, extraction of guava seed oil, tissue

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In this paper, we are given a graphical presentation of the Falkner-Skan equation for the study of two-dimensional permeable steady boundary-layer viscous over a flat plate in the presence of Non-Newtonian power-law fluid and it is presented by a power-law model. Similarity transformation techniques are used to convert the boundary layer equations into a third order nonlinear differential equation. An equation containing three flow parameters like m is power-law relation parameter, omega is the porous parameter and beta is the Stream-wise pressure gradient. We converted the third order nonlinear differential equation into third order linear differential equation by using Quasi -linearization techniques. Results are obtained for the velocity profile, viscosity profile, and skin frictions for the value of physical parameters are discussed in brief.

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 Keywords

Boundary-layer equation, Falkner-Skan equation, Quasilinearization Techniques, Similarity transform, Sub Domain Method, Non-Newtonian fluid, power-law fluid.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The struggles of the LGBT+ community has been a never-ending war for their peaceful existence; the fight for the welfare of the community has been on the streets of New Delhi since 1992 under the leadership of AIDS Bhedbhav Virodhi Andolan. Even with sexual diversity of individuals being a remarkable feature of Indian History, today heterosexuality has been made the norm which resulted in other sexual orientations considered wrong and inferior. Any individual with a different sexual orientation has been subjected to violence, discrimination, ostracization, etc. but studying further, it has been observed the existence of the community is not made difficult by the non-LGBTQ+ people but many a times the members of the community themselves are involved in the violence, discrimination, etc. of the other members due to various reasons. This research has been based on the existing literature, articles and research papers and aims to study the unseen challenges that the community faces daily, the history of the LGBTQ+ Movements in India and the role of the general community in working for the welfare of the community.

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 Keywords

Challenges, Identity, Representation, LGBTQ

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India boasts a rich tapestry of ancient knowledge systems, encompassing diverse fields like mathematics, astronomy, medical science, yoga, and philosophy. However, historical and social structures have often created a gender gap, limiting women's access to and participation in this vast heritage. This paper delves into how education and technology can bridge this gap and empower women as active participants in preserving, reinterpreting, and transmitting this invaluable cultural legacy. The paper also highlights the transformative potential of education and technology within the Indian knowledge system to empower women and bridge the persistent gender gap. By exploring innovative approaches and initiatives, this paper examines how leveraging traditional wisdom alongside modern tools can create pathways for women's empowerment, social inclusion, and sustainable development in India. From the analysis of literature historical perspectives, socio-cultural dynamics, and policy perspectives on education for women empowerment are highlighted. Multifarious utilization of technology for gender equality, integration of indigenous knowledge systems into formal education to empower women as knowledge holders or change agents to address the root causes of gender inequality have also been analyzed in this paper. The paper concludes that bridging the gender gap and empowering women in the Indian context requires a holistic and multi-dimensional approach that combines education, technology, and indigenous knowledge systems. By investing in inclusive and equitable education systems, promoting digital inclusion and innovation, and harnessing the wisdom of India's diverse cultural heritage, we can create an enabling environment for women's empowerment and social transformation.

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 Keywords

Gender Gap, Women's Empowerment, Education, Technology, Indian Knowledge System

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Creative Commons Attribution 4.0 and The Open Definition

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Skin lesion diagnosis plays a crucial role in early detection and treatment of skin diseases, including potentially malignant melanomas. This research presents an automated approach to skin lesion diagnosis using a combination of deep learning feature extraction and machine learning classifiers. The proposed method involves preprocessing skin lesion images, extracting discriminative features using the VGG16 deep learning model pre-trained on ImageNet, and employing various machine learning classifiers such as Support Vector Machine, Random Forest, Extra Trees, and Multi-layer Perceptron for classification. A comprehensive comparative analysis of these classifiers is conducted to evaluate their performance in terms of accuracy. Results demonstrate that the Support Vector Machine classifier achieves the highest accuracy of 89.16%, outperforming other classifiers. The proposed approach offers a promising solution for accurate and efficient skin lesion diagnosis, potentially aiding dermatologists in clinical decision-making and improving patient outcomes.

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Skin Lesion Diagnosis, Deep Learning, Feature Extraction, VGG16, Machine Learning Classifiers, Support Vector Machine, Random Forest, Extra Trees, Multi-layer Perceptron, Image Pre-processing.

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The advent of Artificial Intelligence (AI) technologies has revolutionized various aspects of modern society, including warfare and international security. This abstract delves into the multifaceted impacts of AI on the global landscape of conflict and defense. The integration of AI into military systems has transformed traditional warfare strategies, introducing concepts such as autonomous weapons, predictive analytics, and cyber warfare. These advancements have reshaped the dynamics of conflict, presenting both opportunities for strategic advantage and unprecedented ethical dilemmas. AI-driven surveillance and reconnaissance capabilities have significantly augmented intelligence gathering, enabling more precise and timely decision-making for military and security operations.

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 Keywords

Artificial Intelligence(AI), Autonomous Weapon System, Cybersecurity, Military Warfare, Cyberwar, Arms Race, International Security, Decision-Making, Military Application, Unmanned aerial vehicles (UAVs), Unmanned ground vehicles (UGVs).

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The research paper examines the impact of various motivations factor such as payment, promotion, job security and employee welfare on the job satisfaction among the employees of various insurance companies. The study considered these all factors as independent variable and job satisfaction is dependent variable. Sample size consists for present study is 137 which have been taken from 8 insurance companies' offices and branches located in Bhopal cities. The result determination and hypothesis testing taken place by using ANOVA test at the 5% level of significant. The result of the study reveals that three independent variables such as payment, job security and employee welfare have been found most influential variables and have a significant impact on employee job satisfaction. On the other hand one independent variable namely promotion has been refused by the employee and has no significant impact on their job satisfaction.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Payment, Promotion, Job security, Employee welfare, motivation, job satisfaction

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Creative Commons Attribution 4.0 and The Open Definition