Volume 13 | Issue 1

 Abstract

In the era of globalization and climate change, digitalization has given added trust to the wheel of time. The world is going through a rapid transformation. India must be ready to face and adopt these changes and challenges for its vision to become the skill capital of the world. State and Civil society is continuously working together for enhancement and upliftment of Rural Livelihood. The proposed paper is an attempt to explore that 'Can State and civil society be considered as key changer for rural livelihood. The paper uses both qualitative and quantitative data collection techniques. The core data for quantitative analysis has come from the district Lucknow in Uttar Pradesh. Focused group discussion, questionnaire and case studies has been used for the qualitative analysis. It is extremely important to focus on advancement of skill development that is of almost importance for economic development. India has the potential to transform itself in to knowledge Economy with meeting global skill demands.

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 Keywords

State and Civil Society, Livelihood, Skill Development Program, Employment, Economic Development.

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Sustainable development is the phenomena that seek to define the reconciliation of the need and the interest of the generations against the use of resources. While the principles of sustainable development lay down the basic idea on which environmental laws are framed; distributive justice is the goal it aims to achieve. The relationship of justice and sustainability is fundamental to various socio-economic theories and helps in curtailing inequalities to achieve environment sustainability. This research paper attempts to highlight the equity in the distribution of the natural resources and who may have right over them. The author further explains the effect of such use of resources by the present generations in relation to the right of future generations over them. The author explicates the need to maintain sustainability of the ecological resources and the co-existing relationship of economic development and environment sustainability. Hence, an equitable distribution of resources among different and same generations necessitates the establishment of a coordinate existence of the socio-economic theories and distributive theory.

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Sustainable Development, Socio- Economic Justice, Intergenerational Equity.

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Coconut and products made from it have been widely praised for their various uses in the beauty and personal grooming industry. This summary examines the various ways coconut can improve skin and hair health due to its high levels of fatty acids, antioxidants, and vitamins. Coconut oil is highly praised for its hydrating qualities that have made it a necessary ingredient in skincare products and hair treatments. Its capacity to dissolve impurities without upsetting the skin's natural equilibrium makes it a great makeup remover and cleanser. Furthermore, when mixed with granular agents, coconut oil functions as an exfoliant, aiding in the removal of dead skin cells and revitalizing the skin's look. Its versatility is further highlighted by its application in lip care products and as a foundation in bath formulations. Although coconut oil has some advantages, its ability to protect against the sun is not sufficient and it should not be relied on as a complete sun protection solution. This study emphasizes the importance of using top-quality, raw coconut oil in beauty products and the necessity of careful use to prevent potential irritations. In general, the innate characteristics of coconut greatly enhance its effectiveness in cosmetic uses, providing functional and therapeutic advantages.

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 Keywords

Coconut, Ingredient, Cosmetics, Formulation, Skin Care.

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Until about 1945, the structure of a newly discovered organic compound was based almost entirely on its molecular formula and chemical reaction. The compound was converted into a known compound by a series of specific reactions, or it was synthesized from smaller known compound by specific reaction. This way of finding the structure of an organic compound was time consuming and not always 100% accurate. The conclusion were as reliable as the understanding of the reaction that were carried out.

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A Review of UV Method Validation and Development

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Stress has increasingly emerged as a prevalent issue within healthcare sectors, particularly affecting medical professionals who manage a significant volume of patients with diverse conditions while facing substantial workloads. The demanding nature of their roles often leads to high levels of emotional and physical strain, which can adversely impact their well-being and the quality of care they provide. As healthcare systems continue to evolve and patient populations grow, the pressures on medical professionals are likely to intensify, making it imperative to address the underlying causes of occupational stress. Consequently, the implementation of effective coping strategies is crucial for alleviating stress among these professionals. Coping strategies can range from individual approaches, such as mindfulness and stress management techniques, to organizational interventions that promote a healthier work environment. This article examines the existence of occupational stress among medical professionals, presenting findings along with recommendations for mitigating stress levels. The study highlights several key factors contributing to occupational stress in the healthcare setting. One of the primary sources is excessive workloads, which can lead to burnout and decreased job satisfaction. Medical professionals often find themselves juggling numerous responsibilities, including patient care, administrative tasks, and ongoing education, all of which can create a sense of overwhelm. Additionally, financial pressures, whether from institutional budget constraints or personal financial obligations, can exacerbate stress levels, leading to anxiety and decreased morale.

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 Keywords

Reviews, Occupational Stress, Medical Professionals, Strategies, Stress Management, Workload.

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Data science combines data inference, algorithms, and technology to solve complex problems and is widely used across industries like education, finance, healthcare, and business. Applications range from stock prediction to cancer detection, image processing, and speech-to-text systems. With growing concerns about authentication and security, real-time gaze-based PIN entry offers a hands-free, secure alternative to traditional PINs. This technique uses eye-tracking to detect and track eye movement over time, enabling password authentication through Morse code. It eliminates physical traces, enhancing security for users.

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Data Science, Machine Learning, Usable Security, Accessibility, Inclusion

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The gut microbiota plays a crucial role in maintaining human health, with its dysregulation linked to various diseases. Piper nigrum, commonly known as black pepper, has been traditionally used in herbal medicine and contains bioactive compounds, particularly piperine, which exhibit significant pharmacological properties. This review explores the therapeutic potential of Piper nigrum in modulating gut microbiota. Key bioactive compounds influence gut health through prebiotic effects, antimicrobial properties, and the restoration of microbial balance during dysbiosis. Piperine also influences gut permeability, anti-inflammatory pathways, and bile acid metabolism, contributing to gut homeostasis. Emerging evidence highlights its role in managing gut-related disorders, including irritable bowel syndrome, inflammatory bowel disease, obesity, neurodegenerative diseases, and colorectal cancer, often through its interaction with the gut-brain axis. While the potential is promising, challenges such as limited clinical trials and bioavailability remain to be explored in detail. Future research should focus on omics-based approaches and targeted delivery systems to optimize therapeutic applications.

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 Keywords

Piper nigrum, gut microbiota, piperine, dysbiosis, therapeutic potential, homeostasis

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The aim of this study is to give MSMEs in the cement industry a thorough understanding of the routes to sustainable development. The present study is totally based on explanatory research and data collection from the secondary data i.e. articles, reports, research papers, and websites etc. This study presents the various challenges faced by the MSME companies particularly in cement sector and their sustainability development. The important issues and sustainability tactics that Micro, Small, and Medium-Sized Enterprises (MSMEs) in the Indian cement sector must deal with are examined in this study.

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Challenges, Sustainability, MSMEs, Cement industry

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The dairy sector in India is contributing significantly to the national economy. India is the largest producer and consumer of milk in the world. Dairy farming is becoming more possible because of data-driven approaches used in Dairy sector. Dairy farming is one of the leading component of agricultural activities in almost all parts of the world including India. India is the world's largest producer of dairy products by volume and has the world's largest dairy animal population. Demand of milk is continuously increasing due to increasing population of the world. Dairy farming has been an important part of the agricultural scenario for thousands of years. India being a predominantly agrarian economy has about 70 per cent of its population living in villages, where livestock play a crucial role in the socio-economic life. Livestock provide high-quality foods such as milk, cheese, butter, ghee, etc. India is not only one of the top producers of milk in the world, but also the largest consumer of milk and milk products in the world. Due to the shortfall in supply, we have to import significant amounts of milk products to meet internal demand. Dairy farming is a form of agriculture that is dedicated to the production of milk and dairy products from the care and feeding of cattle, mainly dairy cows. Dairy farmers focus on managing the health, welfare, and milk production of animals to obtain the highest quantity and quality of milk possible.

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Dairy Farming in India and Abroad, Dairy Sector, Animal Husbandry, Specific Guidelines, Review of Literature, Findings and Suggestions.

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Advancements in machine learning, particularly convolutional autoencoders (CAEs) and generative adversarial networks (GANs), have revolutionized fingerprint recreation, enabling precise and efficient reconstruction even from low-quality or partial data. This paper reviews key contributions from recent literature, highlighting convolutional neural network (CNN) architectures, multi-loss optimization techniques, and sparse encoding methods to enhance reconstruction accuracy. By synthesizing insights from these studies, the review discusses challenges such as dataset quality, adversarial robustness, and scalability, offering a roadmap for future developments in fingerprint reconstruction using machine learning.

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 Keywords

Fingerprint reconstruction, convolutional autoencoders, deep learning, biometrics, latent fingerprint analysis, biometric security, image reconstruction, ridge patterns, minutiae patterns, low-quality fingerprint enhancement, forensic fingerprint reconstruction, machine learning.

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Indian diaspora plays an important role for accelerate social and cultural development. If we look at the world culture, one thing is can be noticed is the Indian Diaspora that incorporates unique force in some veneration. The incorporation of the British Empire in India can be linked to the continuation of modern Indian Diaspora all over the world. If we look back to nineteenth century, India concurred labour was taken over to the British colonies in different parts of the world. Countries like Fiji, Mauritius, Guyana, Trinidad, Surinam, Malaysia, South Africa, Sri Lanka and so on leave the foot prints of Indian immigration in a peculiar way. Over two million Indian people fought on behalf of the empire in various wars fought abroad. Moreover in Boer War and the two World Wars and some remained behind to claim the land on which they had fought as their own. In the early part of 20th century many traders from Gujarat left for East Africa in large numbers s if it's an emulation of the ancestors. In this paper an attempt will be undertaken to reveal the social development and the relation of Indian Diaspora from colonial period to post independence period.

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 Keywords

Diaspora, India and Development

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The banking sector is the backbone and key component of the financial system that drives economic development. As a key driver of economic growth, the bank supports economic activity and meets the financial needs of all sections of society. This study employs ratios and trends to evaluate the banks financial performance in terms of capital adequacy, asset quality, earning capacity, management efficiency, and liquidity. We found that the majority of the selected banks are complying with Basel minimum capital requirement norms and earning adequately. However, it is further found that as banks earning increased non-performing asset component in bank books also increased.

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Basel Norms, Earning capacity, Financial position, Capital adequacy, NPA

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This paper serves as a primer on the mechanics of stock price movements, examining the factors behind price fluctuations. It highlights how autoregressive models can help explain these changes and distinguishes between stationary and non-stationary processes in stock prices. The paper also explores how market shocks influence prices. In efficient markets, new information is quickly reflected in stock prices, making them difficult to predict due to the presence of a unit root. However, investor emotions such as fear, greed, and overconfidence can lead to irrational behavior, causing mispricing and the formation of price bubbles. These psychological factors can create patterns of herd behavior that, while seemingly random, can be analyzed using technical tools like Moving Averages and the Relative Strength Index (RSI). Ultimately, the paper shows that while stock prices may appear unpredictable, human emotions and collective behavior generate recurring patterns that can be studied and used for forecasting.

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Stock Prices, Autoregression, Random Walk, Efficient Market Hypothesis, Behavioural Finance, Leading Indicators, Lagging Indicators, Volatility

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The climate change is one of the very typical issues, its impact now considered as common global issue by all the countries and looking for best controlling ways in view of future unpredictable situations. Though the problem recognised a few decades earlier, its present situational impact attracting immediate attention. Apart from human beings witnessing the adverse effects, all the plants, animals and other living beings are also not an exception. Several reports suggest climate change mostly depends on three important factors, population, environment, and utility of resources in diversified ways. Lead termination of green belts also reported as vital reason. Reports evidenced that huge variation found in average earth atmosphere prior to industrial era. East and West Godavri districts in the state of Andhra Pradesh in India have significant global identity because of its rich heritage, culture, climatic conditions, and as a profound supplier of food materials. These areas are very famous for agriculture and the quality of many products like rice, sugar cane, coconut. The aqua food cultivation made these districts wealthy enough. However, lot of changes are being observed in the typical maintenance of agriculture and other sustainment due to significant changes in seasonal weather conditions due to climate change. In view of this, it is also found at cases that people are migrating to other places for their sustainment. Typical investigations with important surveys carried out for the identification of observable impact of climate change in these areas and people. Possible scientific suggestions for mitigation of the issues were made.

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Godavari Districts, Andhra Pradesh, India, Agri and Aqua Culture, Climate Change, Impact on Sustainment, Scientific Suggestions.

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Method development and validation are critical components of analytical chemistry, particularly for UV-Visible (UV-Vis) spectroscopy and High-Performance Liquid Chromatography (HPLC). These techniques are widely used for the qualitative and quantitative analysis of pharmaceuticals, environmental samples, and food products. Over the past decade, advancements have focused on improving accuracy, precision, robustness, and sensitivity in analytical methods. For UV-Vis spectroscopy, the emphasis has been on optimizing wavelength selection, solvent compatibility, and linearity in absorbance-concentration relationships. Enhanced chemometric approaches and advanced software tools have streamlined method development, reducing time and improving reliability. In HPLC, method development has centered around optimizing chromatographic conditions such as mobile phase composition, flow rate, column selection, and detection methods. Novel stationary phases, gradient elution techniques, and the integration of mass spectrometry have expanded HPLC's applicability. Validation strategies, guided by ICH (International Council for Harmonisation) guidelines, ensure the reliability of methods through rigorous testing of parameters like accuracy, precision, linearity, limit of detection, and limit of quantification

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Method development, Validation, Analytical method, UV spectroscopy, High-Performance Liquid Chromatography (HPLC), Quantitative analysis, Qualitative analysis, Assay, Chromatographic separation, Analytical techniques.

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 Abstract

"Marriage: A Historical Survey"

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"Marriage: A Historical Survey"

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Facial gesture-based cursor control presents a novel, hands-free interaction system that leverages computer vision and machine learning to translate facial expressions into cursor movements. This system utilizes algorithms such as Convolutional Neural Networks (CNNs) to identify facial landmarks, while classifiers like Support Vector Machines (SVMs) or k-Nearest Neighbors (k-NN) interpret gestures, including blinking, smiling, and raising eyebrows, to execute actions like cursor navigation, clicks, and scrolling. Additionally, integrated voice commands provide a seamless way to articulate mouse actions, enhancing the system's functionality. By analyzing real-time video input, this technology delivers an intuitive and accessible interface, enabling gesture-driven control for individuals with mobility challenges and offering an innovative alternative for hands-free interaction.

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 Keywords

Computer Vision, Machine Learning, Convolutional Neural Networks (CNNs), Support Vector Machines (SVMs), Support Vector Machines (SVMs), Voice commands, Hands-free interaction

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The Office Prediction Project aims to predict the likelihood of a person working in an office setting. This review paper provides an overview of the existing literature on office prediction, highlighting the key challenges, methodologies, and results. We also identify gaps in current research and propose future directions for the project. The film industry invests heavily in producing and marketing movies, making accurate box office revenue predictions crucial for minimizing financial risks. This literature review examines the application of linear regression models in machine learning for predicting box office revenue. A comprehensive analysis of existing studies reveals that linear regression models can effectively forecast box office performance using variables such as production budget, genre, release date, and social media buzz. The review discusses the strengths and limitations of linear regression models in this context, including issues related to data quality, feature selection, and model interpretability. The findings of this review provide insights for film industry stakeholders seeking to optimize production and marketing strategies using data-driven approaches. Future research directions are identified, including the exploration of ensemble methods and deep learning techniques to improve prediction accuracy.

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Box office revenue prediction, Linear regression, Machine learning, film industry, data-driven decision making.

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This study investigates the impact of porous inserts in forced convection systems on heat transfer enhancements. ANSYS Fluent 2021 is used to study the effects of varying porous layer thickness and Reynolds number on pressure drop and heat transfer rates in pipes. Porous media of varying radius ratios of R = 0.8, 0.6, 0.4, and 0.2 were analyzed under constant temperature conditions. The results from the study found that increasing the thickness of the porous medium generally enhances the peak axial velocity, shifts it closer to the pipe wall, and improves overall heat conduction efficiency. A significant temperature gradient near the pipe wall was observed, indicating an increase in the Nusselt number and overall heat transfer efficiency. Also, there exists an optimal porous thickness beyond which no significant increase in the Nusselt number occurs. The study found that the influence of porosity on heat transfer is less pronounced compared to that of porous layer thickness. The Performance Evaluation Criteria (PEC) indicates that porous media inserts substantially enhance the overall heat transfer.

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Porous Media, Porous Layer Thickness, Thermal Dispersion, Nusselt number

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Biomedical waste (BMW) management is critical for hospital hygiene and preventing the spread of infections. Housekeeping staff, who handle and dispose of biomedical waste, must possess adequate knowledge of proper management practices. This study aimed to assess the level of knowledge regarding BMW management among housekeeping staff in selected hospitals of Ujjain City, Madhya Pradesh, and to identify gaps that need to be addressed through training. Methods: A quantitative research approach using a quasi-experimental pre-test and post-test design was employed. A total of 300 housekeeping staff from various hospitals in Ujjain were selected through stratified random sampling. Data were collected using a structured questionnaire covering demographic details, general knowledge, waste segregation, handling procedures, legal knowledge, and hospital-specific practices. Knowledge levels were evaluated before and after the intervention (training program). Data were analyzed using descriptive and inferential statistics. Results: The pre-test results showed that 20% of participants had good knowledge, 50% had moderate knowledge, and 30% had poor knowledge. Following the intervention, the percentage of participants with good knowledge increased to 50%, while those with poor knowledge decreased to 10%. The t-value was 24.02, with a p-value of < 0.05, confirming that the training significantly improved the participants' knowledge.Conclusion:The study demonstrated that training significantly enhanced the biomedical waste management knowledge of housekeeping staff. However, challenges remain in consistent waste segregation and PPE usage, which require ongoing training and support. The findings underscore the importance of regular educational interventions to improve compliance with BMW management practices, ensuring better hospital hygiene and reduced health risks.

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 Keywords

Biomedical Waste Management, Housekeeping Staff, Hospital Hygiene, Training, Waste Segregation, PPE, Knowledge Assessment, Ujjain City.

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