Volume 14 | Issue 5 |

 Abstract

We can observe on present days the online reviews are significantly influencing the consumer behavior and purchasing decisions. This study used to exploring the role of Google Maps reviews in shaping consumer perceptions and purchase intentions, which is particularly in the East Godavari region of Andhra Pradesh. As we know on these days the businesses are increasingly rely on digital marketing strategies, mostly Google Maps has emerged as a vital tool for the enhancing of local visibility and trust. This study is highlighting that how the review attributes such as volume, polarity, and credibility are directly impact consumer trust and engagement. Most of the negative reviews, especially, to attract more attention and influence on customer judgments, which is notably among female consumers. Furthermore, the companies who are actively manage their Google Maps profiles, by responding to the reviews of customers and updating the business details, they tend to experience the improved customer interactions and also local search visibility. The research mostly underscores that Google Maps reviews act as the electronic word-of-mouth (e-WOM), which affecting the both brand image and competitive positioning. For this research collected survey data from various consumer demographics, the study is demonstrates that the businesses with higher ratings and favorable reviews will attract more customers. Thus, the Google Maps reviews are not just seeing as the feedback tools but it can be the powerful digital marketing assets to driving the consumers to take decision-making.

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 Keywords

Google Maps, Consumer Engagement, Trust in Reviews, Online Reputation, Digital Marketing.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

"A STUDY TO ASSESS THE EFFECTIVENESS OF VIDEO-ASSISTED TEACHING METHOD ON KNOWLEDGE REGARDING ROAD SAFETY MEASURES AMONG SCHOOL-GOING CHILDREN IN SELECTED SCHOOLS OF VIDARBHA REGION."

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 Keywords

123

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 Abstract

Teenage years are a crucial period of development that are characterized by fast changes in biological, emotional, cognitive, and social aspects of a person's life. During this period of transition, teenagers are confronted with a variety of stressors that include academic demands, peer interactions, familial expectations, exposure to social media, and uncertainty regarding their future careers. An unhealthy amount of stress that is not properly controlled can have a detrimental impact on a person's mental and physical health, as well as their academic performance and personality development. Using a psychological point of view, the current study paper investigates the notion of stress among adolescents, focusing on its causes, the effects it has, and the methods that can be used to manage it. The article provides an explanation of how stress arises and how it impacts the functioning of adolescents by drawing on significant psychological theories such as Hans Selye's General Adaptation Syndrome, Lazarus and Folkman's Transactional Model of Stress and Coping, and the Bio-Psycho-Social Model. Significant factors that contribute to stress among adolescents are also discussed in the essay. These factors include academic pressure, peer influence, family problems, emotional instability, and exposure to digital media. In addition to this, it investigates the psychological, emotional, cognitive, behavioral, and social repercussions that result from stress that is not properly controlled. The latter part of the article is devoted to the presentation of evidence-based stress management treatments. These strategies include problem-focused coping, emotion-focused coping, mindfulness, counseling, social support, developing resilience, and school-based interventions. Furthermore, the study highlights the critical need for comprehensive mental-health support systems in schools and families in order to promote healthy adolescent growth and emotional resilience. Stress, adolescents, psychological perspective, coping strategies, academic stress, mental health, stress management, and emotional well-being are some of the keywords that can be used to describe this topic.

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 Keywords

Adolescents, Stress, Psychological Perspective, Coping Strategies, Academic Stress, Mental Health, Stress Management, Emotional Well-being.

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 Abstract

An adverse effect of changing titanium dioxide nanoparticle shapes and concentrations on the amount of friction and Nusselt number ratio of improvement for thermal solar collectors (TSCs) has been examined. Several nanoparticle shapes (PD = 20-50 nm) and varying concentrations of TiO2 nanoparticles (NC = 1-4%) have been used for preparation of nanofluid via stirrer mechanism. Both pure water and water/TiO2 flow under diverse Reynolds numbers, spanning from 5,000 to 30,000. The permitted amount Nusselt number is found in the water/TiO2 mixture with nanoparticle concentration (NC = 4%) and nanoparticle diameter (PD = 20 nm). With water/TiO2 nanofluid flow at Re = 5,000 and 15% flow at Re = 30,000, the average Nusselt numbers climb by 23% and 13%, respectively. It has been observed that for both fluids, the skin friction factor diminishes as the Reynolds number rises. The skin friction factor of a water/TiO2 nanofluid is higher than that of pure water. Employing water/TiO2 nanofluid as the working fluid and adjusting the concentration of TiO2 nanoparticles from (NC = 1%) to (NC = 4%), the average Nusselt numbers improved by 29% at the lowest Reynolds number and by 39% at the highest Reynolds number of 30,000. Across all Reynolds principles, the Nusselt number increased as the nanoparticle diameter shrank. The maximum Nusselt number is synthesized by TiO2 nanoparticles with the smallest dimension (PD = 20 nm). The most important ratio of improvement for the Nusselt number in TSC is offered by the smallest size TiO2 nanoparticles (PD = 20 nm). This investigation showed that infusing 5% Al2O3 nanoparticles to water/TiO2 (diameter of 20 nm) leads to significant heat transfer development, which raises TSC's thermal performance.

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 Keywords

Solar Collector; Nanoparticle; Nanofluids; Parameters; Performance.

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 Abstract

HIND-PRASHANT KSHETRA ME SANSKRITIK KUTNEETI OR SOFT POWER KA YOGDAN

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HIND-PRASHANT KSHETRA ME SANSKRITIK KUTNEETI OR SOFT POWER KA YOGDAN

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The Influence Of Family, Social And Economic Factors On Professional "Choice Of Teaching Career

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The Influence Of Family, Social And Economic Factors On Professional "Choice Of Teaching Career

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Information literacy is the ability to find, understand, evaluate, and use information properly. In engineering education, students must work with many types of information such as textbooks, research papers, technical reports, standards, and online resources. Simply having access to information is not enough. Students need skills to select correct and reliable information and use it in an ethical way. This article explains the meaning of information literacy, its importance for engineering students, common challenges faced by students, and methods to improve these skills. It also discusses the role of libraries and teachers in helping students develop strong information literacy abilities. Developing these skills helps engineering students achieve academic success and prepares them for professional careers.

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Information Literacy, Engineering Students, Academic Success, Research Skills, Digital Learning

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A Comparative Study of the Attitude of Teacher trainee of Central and State Universities Towards Inclusive Education

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A Comparative Study of the Attitude of Teacher trainee of Central and State Universities Towards Inclusive Education

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Managing heart health often requires a strategic combination of medications, and Nebivolol hydrochloride and Ramipril are two of the most effective tools in that kit. Nebivolol works as a selective beta-blocker, essentially helping the heart beat more calmly and efficiently to lower blood pressure. Ramipril, on the other hand, is an ACE inhibitor that does double duty: it treats high blood pressure and heart failure while providing a vital layer of protection for the kidneys, particularly for those living with diabetes. Research suggests that finding the "sweet spot" for a patient's dosage can significantly reduce the risk of major cardiovascular events and slow the progression of kidney disease. Because these medications are so frequently used together, scientists rely on advanced analytical techniques like UV spectrometry, HPLC, and HPTLC to ensure each dose is precise and pure. These methods allow researchers to detect and measure both drugs simultaneously, even when they are mixed with other substances. By refining these detection methods, the medical community ensures that these life-saving treatments remain consistent, safe, and effective for the patients who depend on them.

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Nebivolol hydrochloride, Ramipril, UV spectrometric, HPLC, HPTLC

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Mental health disorders such as depression, anxiety, and stress are increasing rapidly due to modern lifestyle changes, academic pressure, and workplace stress. Early identification of mental health conditions is essential for proper treatment and support. This paper presents a Mental Health Prediction System using Machine Learning techniques to predict mental health conditions effectively. The proposed system uses preprocessing techniques, feature extraction, and classification algorithms such as Logistic Regression, Decision Tree, Random Forest, and Support Vector Machine for prediction. The experimental analysis shows that Random Forest achieved the highest prediction accuracy. The developed system can help healthcare professionals and institutions in early mental health assessment.

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 Keywords

- Mental Health, Machine Learning, Depression Prediction, Anxiety Detection, Artificial Intelligence

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Creative Commons Attribution 4.0 and The Open Definition