Volume 13 | Issue 1 |

 Abstract

Drones, or Unmanned Aerial Vehicles (UAVs), have evolved from niches in the military into critical tools in various civilian and commercial environments. Dependable technologies such as AI and IoT enable drones to transform everything from defence and logistics to agriculture and environmental monitoring. This is going to be considered a case study in order to research the integration of drones within a variety of domains, including collecting real-time information through surveillance and autonomous operating with the help of various case studies across different sectors, the impact of drone technology has been analyzed. This includes in-depth examination in the subject areas of how advanced sensors and imaging capabilities mounted on drones monitor conditions to provide assistance in targeted interventions and critical data. The focus was on the application of drones regarding resource management, disaster response, and infrastructure maintenance. Data for the analysis were gathered from field trials, consultations with industry experts, and a comparative study with traditional methods. The efficiency of drones was determined by such metrics as time saving, cost effectiveness, and operational efficiency.The findings of the study indicate that drones provide significant improvements across various sectors. For agriculture, for example, having drones saved on pesticide use, hence lower costs and lower negative impact on the environment. Drones improved crop yields by offering more precise interventions. In disaster response scenarios, drones gave coordination faster through actual time data delivery. The effective delivery of supplies to inaccessible remote areas speaks volumes for drones in disaster response. Drones in infrastructure inspection have minimized the need for manual labour, ensured a higher safety level by reducing the need for human engagement in high-risk locations, reduced time expected to inspect infrastructure, and reduced maintenance cost.It highlights the potential transformation brought by drones to increase efficiency and safety across sectors. Case studies point toward the sector that has utilized drones to significantly optimize resources, reduce operational time, and achieve real-time inputs in precision agriculture, disaster management, and infrastructure maintenance. However, proper usage of drones depends on overcoming current barriers in terms of regulations, the cost, and required training. Future research should be conducted in developing standardized frameworks in drone integration and possible alternative ways for cost reduction, thus allowing more usage. Drones will become a part of optimization nowadays as technology advances further with time.

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The financial sector plays a pivotal role in shaping the economic growth and development of a nation. In the context of India, financial sector reforms have been instrumental in fostering economic liberalization, inclusion, and resilience over the decades. This article explores how these reforms act as a propellant for the vision of a "New India," characterized by sustainable growth, technological advancement, and equitable access to financial services. It delves into key reforms, such as the introduction of digital banking, regulatory overhauls, and financial inclusion initiatives, which have significantly enhanced efficiency and accessibility. However, the path forward is not without challenges. Issues such as rising non-performing assets (NPAs), regulatory compliance gaps, cybersecurity threats, and financial literacy deficits pose substantial hurdles. Additionally, the sector must adapt to global uncertainties, technological disruptions, and the growing need for green and sustainable finance. The article prioritizes actionable strategies to address these challenges, including strengthening regulatory frameworks, fostering innovation, enhancing financial literacy, and promoting public-private partnerships. By aligning reforms with national priorities, India's financial sector can not only support the country's economic ambitions but also emerge as a global leader in inclusive and sustainable financial practices.

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Financial sector reforms, New India, economic growth, financial inclusion, digital banking, regulatory framework, non-performing assets (NPAs), cybersecurity, financial literacy, green finance, sustainable development, public-private partnerships, economic resilience, technological innovation, banking sector, global financial challenges, financial stability, monetary policy, capital markets, inclusive finance

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Predicting wine quality has emerged as a crucial topic of interest for producers and consumers alike, with the goal of ensuring production excellence and increasing market value. Relying on human expertise, traditional techniques of evaluating quality are time-consuming, subjective, and resource-intensive. Using publicly accessible datasets from the UCI Machine Learning Repository, we use Machine Learning (ML) approaches to forecast wine quality based on physicochemical properties in order to overcome these difficulties. Models like Logistic Regression, Decision Tree, Random Forest, and XGBoost are all part of our methodology and are assessed based on performance indicators like accuracy. By identifying the most pertinent qualities, feature selection reduces model complexity and boosts efficiency. Predicting wine quality has emerged as a crucial field of With XGBoost producing better results, our investigation demonstrates the strong predictive ability of ensemble methods and shows how they might be used to expedite quality assurance procedures in the wine business. This study demonstrates how ML-driven approaches can revolutionize conventional methods by providing a quicker, more accurate, and more affordable substitute for predicting wine quality. Predicting the quality of wine has become a crucial aspect of Our research demonstrates the strong predictive ability of ensemble approaches, with XGBoost producing better outcomes and showing promise for streamlining wine industry quality assurance procedures. This research highlights how machine learning (ML)-driven approaches can revolutionize conventional methods by providing a quicker, more accurate, and more affordable substitute for wine quality assessment.

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Wine Quality Prediction, Machine Learning (ML), Logistic Regression, Decision Tree, Random Forest, XGBoost.

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Cryptocurrency price prediction is a complex yet essential task in financial markets due to the extreme volatility and dynamic nature of digital assets like Bitcoin, Ethereum, and Ripple. As decentralized assets, cryptocurrencies are influenced by various factors, including market sentiment, trading volume s, technological developments, and macroeconomic trends. Traditional forecasting methods often struggle to capture these complexities, making advanced computational approaches such as machine learning (ML) and deep learning (DL) valuable for this purpose. This study aims to develop a robust system to predict cryptocurrency prices for the next 30 days by combining the strengths of ML and DL models, which are known for their ability to analyses large datasets and identify intricate patterns. The foundation of this project lies in collecting and pre-processing historical cryptocurrency data. The dataset includes key features such as open, high, low, and close (OHLC) prices, trading volumes, and technical indicators like Relative Strength Index (RSI) and Moving Average Convergence Divergence (MACD).

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Bitcoin, Ethereum, Altcoins, Stable coins,

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The golden opportunity for the golden human civilization is the bond of fraternity or brotherhood. The sense of brotherhood takes the human race to the pinnacle progress. The concept of "Brotherhood "is one of the most beautiful relations of human kind. It is one such thing that can turn the worst enemy into the best friend. Upgrade our brotherhood experience come to peace and security of the world society. Recently, one of the world's vital issue is the fraternity and racial harmony. A sense of fraternity binds people together. We found clear signs of it in constitution of India. Rabindranath Tagore spoke of national as well as world brotherhood. Dr. B. R. Ambedkar said that fraternity as "a sense of familiar sisterhood and brotherhood among the citizens of India. Indian's sense of brotherhood or neighborhood is inseparable among Indians. Therefore, unity is its motto even though it is pluralistic. Recently there has been a crisis in world fraternity culture.

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Brotherhood, sisterhood, neighborhood, communal harmony, fraternity

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Runaway marriages are prevalent all over India. They are still considered a breach of societal norms and customary values. The law does not work on customary norms; instead, it values personal liberty and the choice of living with anyone who is an adult. This paper is based on the study of a mechanism put in place by state authorities to provide a safe space for those who are considered as breachers of societal norms, particularly in the case of runaway marriages. The state mechanism is in the form of 'Safe Homes' for runaway couples. It will also look into the structure and functioning of safe homes. It explains how couples get inside the safe home and how they are relieved. The facilities provided in the safe homes are also examined. The study is based on the safe homes in three police ranges: Ambala, Hisar and Karnal in Haryana state, where ten safe homes are functioning in ten districts.

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Runaway couples, safe home, police protection, marriage, court

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It is unexpected to express that even in 21st hundred years, more than 33% of the complete populace in immature nations are as yet barred from the financial administration's ambit. Many examinations concentrates on led toward this path derive that, bringing those monetarily rejected populace, under the financial ambit, results in not just individual government assistance and results in friendly government assistance as well. Beginning around 2010, the G-20 nations and the World Bank have driven the drive for expanded monetary consideration in agricultural nations to assist with diminishing destitution levels in creating and arising economies (GPFI, 2010). Today, the importance of advanced finance and monetary consideration for neediness decrease and Financial Stability.is drawing in higher consideration of strategy creators and academicians, principally in view of the quantity of issues that continue in the regular financial framework, due to which an enormous fragment of populace are unserved, which, whenever tended to can make computerized finance turn out better for people, organizations, states and the economy. Digital currency and portable innovation can provide food the requirements of little exchange at a reasonable expense. It can likewise assist in lessening with timing, all the more precisely and make quicker exchanges in mass. Digital currency and monetary incorporation bring complex advantages to monetary administration clients, computerized finance suppliers, states and the economy like expanding admittance to fund among unfortunate people, decreasing the expense of monetary intermediation for banks and Fintech suppliers and expanding total consumption for state run administrations. One region where the dissimilarity is very inescapable and is getting expanded consideration is Digital Finance incorporation, monetary information incorporation and advanced finance. The connection among these and the issues they present for Financial Inclusion stand out enough to be noticed in the past. Consequently, this study looks at the effect of Digital Finance for Financial literacy and monetary framework strength. This examination article gives a point by point conversation on Digital finance and investigates the effect of advanced finance for monetary incorporation and monetary framework dependability - an issue which has not been tended to in the previous examinations.

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Digital Finance, Financial Inclusion, Financial literacy, Financial Stability

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Day by day, there are different types of intelligent systems are introduced with the improvement in technology. Everything is getting more intelligible and stylish. There is a growth in the demand of cutting edge technology and also smart electronic systems. In the proposed systems, microcontroller plays a vital role in the smart systems development. Micro controllers have become an essential part in the preset technologies that are being presented daily. This article discusses temperature based fan speed controller. This system is used to control the speed of the fan automatically based on the room temperature. The system uses an Arduino board to implement a control system Since this system is proposed to control the fan and is very important to know Arduino controlled system well. The study was conducted with the design and manufacture of Automatic Fan Control System.

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Arduino:DTH11:Fan

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This study investigates the impact of Cognitive Behavioral Therapy (CBT) on students' academic performance and self-esteem. The research explores how CBT techniques address cognitive distortions, improve self-regulation, and promote positive behavioral patterns, contributing to enhanced learning outcomes and increased self-confidence. Through a mixed-methods approach, combining quantitative analysis of academic performance data and qualitative insights from student feedback, the study demonstrates the potential of CBT as a valuable tool in educational settings.

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Cognitive Behavioral Therapy (CBT), academic performance, self-esteem, students, educational intervention, cognitive restructuring, emotional regulation, Rosenberg Self-Esteem Scale, mixed-methods research, goal-setting, stress management.

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Abstract: Cardiac arrest is a critical medical emergency associated with high morbidity and mortality. While traditionally considered a condition affecting older individuals, there is growing evidence of an increasing incidence of cardiac arrest among young adults. This systematic review aims to comprehensively examine the literature to elucidate the risk factors contributing to cardiac arrest in this demographic. Through a rigorous search and synthesis of available evidence, this review seeks to enhance our understanding of the unique risk profile of young adults and inform targeted preventive strategies. Introduction: Cardiac arrest poses a significant public health challenge, with profound implications for individuals, families, and healthcare systems. While cardiac arrest predominantly affects older adults, recent epidemiologic trends suggest a rising incidence among younger age groups. Understanding the risk factors associated with cardiac arrest in young adults is paramount for effective prevention and management. Methods: A systematic search of electronic worldwide databases PubMed (Medline), Cochrane Library (Central), and Google Scholar was conducted to identify relevant studies published up to March 2024. The search strategy employed a combination of keywords related to "cardiac arrest", "sudden cardiac arrest", "risk factors" and "young adults". Title abstract phrases, related keywords, and Boolean operators ('OR' and 'AND') were all used in conjunction with the 'Advanced' search choices. Results: A total of 573 studies met the inclusion criteria, due to duplication, 245 records were eliminated using Mendeley Desktop software. The identified risk factors for cardiac arrest in young adults encompassed a broad range of determinants, including modifiable lifestyle factors, underlying cardiovascular conditions, genetic predisposition, and environmental influences. Modifiable risk factors such as obesity, smoking, physical inactivity, and substance abuse emerged as prominent contributors to cardiac arrest risk in this population. Predisposing factors such as inherited cardiac conditions, structural heart abnormalities, and acquired cardiac disorders were significantly identified. The titles and abstracts of the remaining 328 studies were reviewed based on the eligibility criteria. Following the initial scanning, 123 records were rejected as not satisfying the inclusion requirements. Environmental factors, including air pollution and socioeconomic status, also played a role in shaping the risk profile of young adults. The remaining 205 full-text papers were reviewed and from these articles, 196 articles were removed for the reasons. Additionally, excluded studies were scanned for any possible neglect. Total of 08 studies were included in the qualitative analysis (systematic review). Conclusion: This systematic review provides valuable insights into the risk factors contributing to cardiac arrest in young adults offering a foundation for evidence-based preventive measures. By addressing modifiable risk factors, enhancing genetic screening efforts, and promoting cardiovascular health awareness, healthcare providers can work towards reducing the incidence of cardiac arrest and improving outcomes in this vulnerable population.

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cardiac arrest, risk factors, systematic review, young adults, preventive measures

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