Volume 12 | Issue 5 |

 Abstract

In the dynamic landscape of marketing, the emergence of content marketing has revolutionized how brands engage with their audiences. Content marketing, with its emphasis on creating and distributing valuable, relevant, and consistent content, has become an integral part of brand communication strategies across various industries. In the realm of skincare, where consumer preferences, trends, and demands are constantly evolving, content marketing serves as a powerful tool for brands to connect with their target audience in meaningful ways. This introduction sets the stage for an in-depth exploration of the content marketing strategies utilized by skincare brands operating in India and their effectiveness in fostering audience engagement.

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 Keywords

Addressing consumer concerns, Differentiate brand identity, Engaging and Retaining, Driving sales and conversionconsumers,

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Access to clean, safe water is essential for human health and well-being. Water quality in Chhattisgarh, a state in central India, has been a source of worry owing to industrial activity, agricultural runoff, and poor sanitation. This project will investigate the physiochemical and microbiological quality of water in various areas throughout Chhattisgarh, giving critical information on the overall water quality state. Physiochemical parameters such pH, turbidity, TDS, DO, BOD, COD, and heavy metal concentrations were investigated. Microbial tests were also performed to detect the presence of coliforms, Escherichia coli, and other infections. Water samples were collected, kept, and tested using predetermined processes. To capture water quality oscillations, samples were gathered from a range of sources, including rivers, ponds, wells, and tap water, throughout various seasons. Preliminary studies show considerable differences in physiochemical parameters and microbiological contamination levels between locales. Industrial and agricultural regions are highly polluted, including high levels of heavy metals and microbiological pollutants. These findings have significant consequences for both human health and the environment. Contaminated water sources increase the risk of waterborne infections, compromising community health and economic output. This comprehensive study of water quality in Chhattisgarh provides a foundation for policymakers, environmental agencies, and community stakeholders to develop targeted activities for water quality management and pollution reduction. Watershed management, industrial effluent treatment, and public awareness campaigns are essential measures for conserving water resources and ensuring that all Chhattisgarh residents have access to clean drinking water

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 Keywords

Wastewater, Physiochemical, Concentrations

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Sustainable product design and development is a broad field of research. So far, no studies have been conducted in the research area. Typically, each researcher conducts research based on his or her own perspective and expertise. The purpose of this article is to create a classification of sustainable product design and development topics, goals, methods and inputs. Based on the literature review of sustainable product design and development, several research subcategories were found: process, life cycle assessment, ecological design, design strategies, multi-criteria decision making, performance measurement, customer side, and others, covering different research areas. This classification offers category researchers the advantage of focusing more on the selection of appropriate literature. In addition, it is easier for researchers to identify data gaps for future studies

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 Keywords

Sustainable Design, Eco-Design, Lifecycle Assessment, Circular Economy, Green Manufacturing, Renewable Materials, Resource Efficiency, Waste Minimization, Energy Efficiency, Environmental Impact, Sustainable Innovation, Recyclability, Renewable Energy, Environmental Regulations, Sustainable

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Land ownership in India has historical significance, with millions relying on land for livelihood. The Right to Fair Compensation and Transparency in Land Acquisition, Rehabilitation and Resettlement Act, 2013 (LARR Act, 2013) ensures participative and transparent land acquisition, providing better compensation and rehabilitation for affected landowners. Historically, property rights in India were enshrined as fundamental rights under Articles 19(1)(f) and 31 of the Constitution. However, the 44th Amendment in 1978 reclassified these rights as constitutional rights under Article 300A, permitting compulsory acquisition for public purposes. The Supreme Court of India has upheld fair compensation as essential, recognizing property rights as both constitutional and human rights. Key rulings, such as Kesavananda Bharati v. State of Kerala, have balanced public necessity with individual rights. This evolution highlights the importance of just compensation and rehabilitation in land acquisition.

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 Keywords

Land Acquisition, Compensation, Rehabilitation, Property Rights, Transparency

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The rapid advancement of Artificial Intelligence (AI) has ushered in transformative changes across various industries, with the Information Technology (IT) sector being at the forefront. This abstract explores the impact of AI tools on performance management within the IT sector, also focusing on challenges and opportunities in AI Implementation. AI-driven performance management tools leverage data analytics, machine learning, and natural language processing to provide more objective, continuous, and real-time assessments of employee performance. These tools facilitate the automation of routine tasks, allowing managers to focus on strategic decision-making and personalized employee development. Key benefits include improved accuracy in performance evaluations, reduced biases, and enhanced ability to predict and mitigate performance issues. AI tools can analyse vast amounts of data from various sources such as project management systems, communication platforms, and employee feedback, providing comprehensive insights into individual and team performance. Predictive analytics enable proactive management by identifying potential performance issues before they become critical, thus enhancing employee productivity and job satisfaction. However, the integration of AI in performance management also raises concerns regarding data privacy, ethical considerations, and the potential for over-reliance on automated systems. Ensuring transparency, accountability, and the involvement of human oversight is essential to mitigate these risks. In conclusion, AI tools significantly enhance performance management in the IT sector by providing more accurate, real-time, and actionable insights. While the benefits are substantial, addressing ethical and privacy concerns is crucial to fully realizing the potential of AI in performance management.

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 Keywords

o Artificial Intelligence (AI) o Performance Management o IT Sector o Data Analytics o Machine Learning o Predictive Analytics o Employee Performance o Ethical Considerations o Data Privacy

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Background: As per the World Health Organization, hypertension is characterized by a minimum diastolic blood pressure of 90 mmHg (12.0 KPa) and a minimum systolic blood pressure of 140 mmHg (18.7 KPa). Added that 25.7% of women and 5% of men in India had hypertension, which was the country's overall prevalence of the condition at 30.7% of the year 2019. Exercises including aerobic and slow breathing are crucial for reducing blood pressure and improving exercise tolerance. Progressive resistive exercise is a non-pharmacological method that can help lower systolic and diastolic blood pressure as part of a healthy lifestyle, even for hypertensive persons. Methodology: Patients with essential hypertension (n=123) were included in this study. They were divided into 3groups,41 for each group, aerobic exercises along with breathing exercise, macqueen resisted exercises along with breathing exercise, breathing exercise along with medications was given respectively for 4 weeks,4 day a week. Pre and post values were noted. Result: There was significant improvement in lowering blood pressure and reducing triglycerides values in all 3 groups individually with p value ? 0.001. There was more effect size for Group B than Group A and Group C comparatively. Conclusion: It is concluded that Group B i.e Macqueen's Progressive Resisted Exercise helps in lowering blood pressure and decreasing triglyceride value in blood than Group A i.e Aerobic exercise(jumping, jogging stepup and stepdown) and Group C i.e breathing exercises

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 Keywords

SYSTOLIC BLOOD PRESSURE, (SBP), DIASTOLIC BLOOD PRESSURE (DBP),BLOOD PRESSURE(BP), WORLD HEALTH ORGANISATION(WHO),HYPERTENSION(HTN),HIGH DENSITY LIPOPROTEIN (HDL)LOW DENSITY LIPOPROTEIN ,(LDL)

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There is a growing need to evaluate potential planning approaches from an economic vantage point due to increasing demands on healthcare funding. Concerned individuals, groups, non-governmental organizations, volunteer agencies, and people's organizations--representing the entire community but notably the poor, whose rights and privileges have been seized by an exploitative class that controls the political and economic power--must take the lead in the struggle. The need to rationalize health care finance has given rise to a number of new models, including local health cooperatives, partial health insurance coverage, limited partnerships, joint ventures, health cess, public-private cost sharing, and taxable and tax-exempt bond financing. Immediate action is required to address financial concerns and explore significant alternatives. Medical treatment and its financing are about to undergo a sea shift as a result of current trends in the health care industry. Sufficient medical services in a budget-conscious market have been gaining prominence, rather than high quality at any cost. Government and corporate participation in health care decision-making may moderate high-tech and high-finance options.

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Keywords: healthcare finance, challenges, opportunities, Indian healthcare sector, funding, rising costs, disparities, access to care, innovations, technology, infrastructure, regulatory measures, sustainability, inclusive healthcare etc.

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Attention Deficit Hyper-Activity Disorder(A D H D) and anxiety are common in adolescents, but the relationship between Attention Deficit Hyper-Activity Disorder severity and anxiety levels has not been investigated. This study aims to clarify these relationships and suggest necessary interventions to address both conditions. Purpose: The aim of this study is to investigate the relationship between Attention Deficit Hyper-Activity Disorder severity and anxiety levels in adolescents and to investigate the relationship between different Attention Deficit Hyper-Activity Disorder symptoms. Method: In this study, an independent sample t-test was used to compare Attention Deficit Hyper-Activity DISORDERAnxiety level. Between positive and negative groups. Pearson correlation coefficients were calculated to assess the relationship between inattention symptoms, hyperactive motor behaviour, impulsive speech, and anxiety. Results: Independent sample t-test showed that there was a difference in stress severity between positive and negative Attention Deficit Hyper-Activity DISORDERgroups (t = 4.63, df = 105, p < .001). Additionally, Pearson correlation analysis showed a positive relationship between Attention Deficit Hyper-Activity Disorder symptoms and anxiety levels (r = 0.633, p < 0.001), inattention symptoms (r = 0.191, p = 0.049) and negative behavi0urs (r = 0.594, p < 0.001). ) and impulsive verbal behaviours (r = 0.443, p < 0.001) are associated with anxiety. Good: Findings suggest an interaction between Attention Deficit Hyper-Activity Disorder severity and anxiety levels in young adults. Different Attention Deficit Hyper-Activity Disorder symptoms show different relationships with anxiety, reflecting the different nature of these conditions. Appropriate interventions to address Attention Deficit Hyper-Activity Disorder symptoms and related anxiety are important to improving youth's health. Further research is needed to refine treatment for this vulnerable population and investigate long-term and associated effects to improve outcomes

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Anxiety, Attention deficit hyperactivity disorder, severity, symptoms, adults, correlation

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The banking system claims that everyone's primary source of income comes from loans. A bank's primary source of revenue is, therefore, loans. One of the greatest threats to a bank's viability and profitability in today's cutthroat market is the difficulty of accurately assessing the risk associated with a loan application. Many individuals visit different banks every day to seek for loans. Every applicant does not get approval. Most banks utilize their risk assessment and credit scoring systems to determine whether or not to approve a customer's loan application. Getting a loan approved is a tedious process for bank employees. A more efficient, accurate, and quick loan approval procedure is possible with the use of modern technologies like machine learning models. Predicting whether or not a borrower will get a loan is an important yet long-standing problem for the financial services sector. Historically, banks and other lenders relied on manual processes and subjective criteria to evaluate loan applications, which often led to inconsistent decisions and increased risk of loan defaults. With the rise of ML algorithm, there is now an opportunity to create more accurate and reliable predictive models that can help financial institutions make better lending decisions. This research uses ML techniques to identify trends in a shared dataset of loan-eligible individuals. The dataset is prepared by performing exploratory data analysis and data balancing. The explored algorithms include Cat Boost, Gradient boosting and XGBoost. Preprocessing data, selecting features, balancing data, training and testing, classification, and comparing performance using accuracy and precision as classification metrics are the main goals of the project. Recall and f1-score. Following Gradient Boost Classifier (86.39%) and XGBoost (84.61%), the results reveal that Cat Boost Classifier had the greatest accuracy at 88.16%. The findings show that ML algorithms have the ability to make loan approvals better and decrease the likelihood of defaults.

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Machine Learning

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Nurse's burnout is a universal phenomenon characterized by a reduction in nurse's energy that indicate in emotional exhaustion, demotivation, and feeling of frustration and may lead to reduction in work competence. This study was conducted to assess the level of burnout among nurses and coping strategies they use to prevent burnout on work place in the government and private hospital of district Mohali (Punjab). A quantitative approach with comparative research design was adopted for the study.60 nurses (30 from government and 30 from private hospital) were selected through non- probability convenient sampling technique. Study shows that majority of nurses (86.7% in government and 90 % in private hospital) were having moderate prevalence of Burnout Syndrome and majority of nurses (86.7% in government and 96.7% in private hospital)were using the coping strategies to prevent the burnout syndrome on their work place as well as at home. There was no significant association found between the variables of the study using chi square (p= <0.05).

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Nurses, Burnout, Prevalence, Coping Strategies

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