Volume 13 | Issue 3 |

 Abstract

Governments all over the world have been forced to involve citizens into their operations as a result of the introduction of ICT. It can be seen in the rise of online service delivery platforms, open data portals, and complaint resolution, to name a few examples. Another type of ICT use that involves e-Education platforms is the creation or enhancement of communication channels using new media/digital ICTs. Digital India's aim is for inclusive growth in many areas as a campaign in which technologies and connections will come together to increase the quality of all parts of e-Education and skill development. This paper attempts to delineate the Digital India initiatives e-Education and Skill Development. Digital India's vision of NPE 2020 seems to be an Initiative to empower, educate, encourage and enlighten the new generation.

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 Keywords

Digital India, Digital India Initiative, e-Education, Skill Development

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Creative Commons Attribution 4.0 and The Open Definition

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Social media advertising has revolutionized consumer buying behavior by providing businesses with a direct and interactive platform to engage potential customers. This study explores the influence of social media advertisements on consumer purchase decisions, focusing on factors such as brand awareness, trust, user engagement, and personalized marketing. The research highlights how social media platforms like Facebook, Instagram, and YouTube shape consumer perceptions through targeted ads, influencer endorsements, and user-generated content. Findings suggest that social media advertising significantly impacts consumer preferences, purchase intentions, and brand loyalty, making it an essential tool for modern businesses.

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 Keywords

Social media advertising, consumer buying behavior, brand awareness, influencer marketing, purchase intention, digital marketing, user engagement, targeted advertising.

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Identification of diseases and the strategies to be made to overcome it are the medicinal research to bring a healthy society and where people can find good doctors around them and also avail low cost medical services for a long life. It can be achieved only through technological advancement and it availability to the society. Because technology can detect the disease in a short time and find the composition of antibodies in a cell. Basing on the identification, doctors can inject needful medicine to a patient to bring healthy in a short time. The use of machine learning model with Support Vector Machine (SVM) helps to detect the HIV disease in the human body with the variation in amino acid compositions in the cells and tries to enhance the protein level to make the cell active and to fight against the infection. The study finds the different structural and regulatory proteins based on amino acid compositions in a quick time and provide a positive response for doctors to cure the patients.

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 Keywords

Keywords: SVM, Machine Learning, HIV, Structural protein, regulatory protein

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The present study is anticipated to find out the consumer preference for branded instant food products. The study aims to identify the components that influence the consumer's level of preference for instant food products. The mean score, weighted average method and Chi-square test have been analyzed using the primary data collected using a questionnaire. The results reveal that pickles and noodles are the most favored instant food items, with consumers showing a preference for new flavors and vegetarian options. Brand image plays a significant role in their purchasing decisions. The sensory appeal of instant food products is highly attractive, particularly in terms of taste and aroma, with a rating of 4.50.

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 Keywords

Consumer Preference, Instant Food Products, Brand Image, Taste and Aroma.

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ABSTRACT This review explores how smoking affects people's emotions, especially in two key areas: meta-emotion (how people feel about their own emotions) and experiential avoidance (the tendency to avoid or suppress uncomfortable feelings). While smoking is often seen as just a physical addiction, it also plays a big role in emotional regulation. Research shows that smoking disrupts the body's stress response and affects brain function, making it harder for people to manage their emotions. Smokers often experience negative feelings about their own emotions, such as shame or guilt for feeling anxious or sad. To escape these emotions, they turn to smoking, reinforcing experiential avoidance--the habit of pushing emotions away instead of dealing with them. This creates a cycle where smoking provides temporary relief but makes emotional regulation worse in the long run. Understanding this connection is important because most smoking cessation programs focus mainly on nicotine withdrawal rather than emotional coping strategies. Approaches like Cognitive Behavioural Therapy (CBT) and Mindfulness-Based Interventions (MBIs) could help smokers develop healthier ways to handle their emotions, making it easier to quit. However, research specifically linking meta-emotion and experiential avoidance to smoking behaviour is still limited. More studies are needed to explore these emotional patterns and create better strategies for helping smokers break the cycle.

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 Keywords

Keywords: smoking, nicotine dependence, emotions, avoidance, stress, mental health, quitting smoking.

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Electronic Health Records (EHRs) have transformed modern dentistry, replacing traditional paper-based systems with advanced digital platforms that centralize patient data, clinical notes, treatment plans, and billing information. These systems improve diagnostic accuracy, reduce errors, and support evidence-based decision-making, while fostering collaboration between dental and medical professionals to deliver comprehensive patient care. Despite their advantages, smaller dental practices often face hurdles such as high costs, complex setups, and concerns over data security. Key features of dental EHR systems include patient demographics, clinical documentation, treatment scheduling, radiographic integration, medication management, and financial tools. These features enhance patient safety, streamline workflows, and enable data-driven insights. However, challenges like user adoption, interoperability issues, and cybersecurity risks remain significant barriers. Emerging technologies such as artificial intelligence (AI), blockchain, cloud-based solutions, and tele-dentistry are addressing these challenges, paving the way for a more efficient, secure, and patient-centered future in dentistry. Successful implementation of EHRs requires careful system selection, thorough staff training, and strategies to manage resistance to change. By embracing these approaches and technologies, dental practices can unlock the full potential of EHRs, ultimately improving patient outcomes and advancing the field of dentistry.

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Electronic Health Records (EHR), Dentistry, Patient Safety, Clinical Documentation, Artificial Intelligence (AI)

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Landslides, a natural disaster caused by gravity, water, or earthquakes, result in significant damage to infrastructure, environment, and human settlements, often leading to loss of life, displacement, and long-term socio-economic impacts. To address these challenges, we developed **'TERRAIN GUARD,'** a landslide detection system. Equipped with sensors, it continuously monitors vulnerable areas. Upon detecting potential landslide risks, it sends alert messages and (light/beep) signals to wireless devices, enabling timely warnings and mitigating damage

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1. Landslide Detection 2. Early Warning System 3. Terrain Guard 4. Sensor Networks 5. Real-time Monitoring 6. Disaster Management 7. Slope Stability 8. Environmental Sensors 9. Arduino Microcontroller 10. Soil Moisture 11. Soil Pressure 12. Rainfall Monitoring 13. Vibration Detection 14. Infrastructure Protection 15. Sustainable Technology 16. Remote Sensing 17. Disaster Resilience 18. Geotechnical Monitoring 19. IoT in Landslide Detection 20. Cost-effect

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Duplex Ureter also known as duplicated collecting System represent a common congenital anomaly of the urinary tract. Characterized by partial or complete duplication of the ureter. This condition, which may arises from abnormal embryological development of the ureteric bud. Many cases are asymptomatic and detected incidentally, others present with significant clinical complication such as recurrent urinary tract infection, vasico ureteral reflux, uretrocele, obstruction or hydonephrosis. Diagnosis typically involves imaging modalities such as ultrasonography, voiding cystourethrography, or magnetic resonance urography. Management depend on the severity of symptoms and complication, ranging from conservative approaches in asymptomatic individual to surgical intervention in case of obstruction, severe reflux or impaired kidney function. This article reviews the embryology, clinical presentation, diagnostic method and treatment strategies for duplex ureter, highlighting the importance of individualized care in optimized outcome and preventing long term renal damage

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 Keywords

Duplex ureter; congenital anomaly; reno-renal reflux; Wolffian duct; Urinary incontinence; Hydronephrosis; Vesico ureteral reflux; Homoeopathic management; surgical management

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Green energy firms are at the vanguard of the global transition to sustainable and renewable energy sources, such as solar, wind, hydro, and biomass. These companies work to reduce carbon emissions and promote environmental sustainability while experiencing financial and operational hurdles. This study examines green energy enterprises' financial performance, growth potential, and obstacles, focusing on investment trends, government legislation, and technology breakthroughs. It also investigates the importance of financial measures in determining the long-term viability and profitability of these businesses. The findings can help investors, governments, and industry stakeholders build a more sustainable energy future.

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Green Energy Sector, Investment, Financial Performance, financial stability.

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Creative Commons Attribution 4.0 and The Open Definition

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The integration of Artificial Intelligence (AI) into the education sector has transformed teaching methodologies and learning experiences, fostering efficiency and personalization. This research paper examines the role of AI in modern classrooms, emphasizing its contributions to adaptive learning, automated administrative tasks, and data-driven decision-making. The study highlights AI's collaboration with human educators, leveraging data analytics to enhance mentorship and student engagement. Real-world case studies, including Squirrel Ai and Carnegie Learning's MATHia, illustrate AI's ability to improve student performance, with accuracy rates increasing by up to 30%. The paper also addresses key challenges in AI adoption, such as data privacy, assessment integrity, and equitable access to technology. With the AI education market projected to grow from INR43,000 crore in 2024 to INR9,32,000 crore by 2034, investment in AI infrastructure and teacher training is critical to ensuring its effective implementation. The findings emphasize that AI should not replace human educators but serve as a complementary tool to enhance teaching effectiveness, promote inclusivity, and create a more efficient and equitable educational environment. This study provides insights for policymakers, educators, and technology developers on the necessity of strategic investments to maximize AI's potential in education.

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 Keywords

AI in Education, Personalized Learning, AI-Driven Analytics, Adaptive Learning, Human-AI Collaboration

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Creative Commons Attribution 4.0 and The Open Definition