Volume 13 | Issue 9 |

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Diabetes Mellitus, Lifestyle Modification, Structured Teaching Programme, Client Education, Knowledge

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The advent of digital technology has revolutionized the marketing approach of Fast-Moving Consumer Goods (FMCG) companies. Digital marketing tools such as social media advertising, influencer marketing, content marketing, and data-driven campaigns have enabled FMCG brands to reach broader audiences, increase consumer engagement, and drive higher sales growth compared to traditional methods. This study assesses the impact of digital marketing on FMCG growth by examining its influence on brand visibility, consumer purchase behavior, and market competitiveness. The findings highlight how effective use of digital platforms strengthens brand loyalty, enhances revenue, and creates sustainable competitive advantages for FMCG companies operating in a dynamic market environment.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Digital Marketing; FMCG Growth; Consumer Behavior; Brand Loyalty; Social Media Marketing; E-Commerce; Online Advertising; Influencer Marketing

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study reports the green synthesis of Balanites aegyptiaca fruit pulp extract with Titanium dioxide (TiO?) nanoparticles. The biosynthesized extract from the fruit pulp resulted in a solution with a honey-like colour. UV-Vis spectroscopy revealed a sharp absorption peak at 304 nm, characteristic of bioactive compounds present in fruit pulp extract. The FTIR spectrum of biosynthesized fruit pulp extract with TiO2 Nps clearly shows different bioactive compounds (flavonoids, alkaloids, terpenoids, phenolic compounds, etc) present in the green synthesized fruit pulp extract of Balanites aegyptiaca. XRD showed anatase-phase TiO? with an average crystallite size of 10-30 nm. The SEM revealed a highly porous nanostructured surface with pores and particles in oval shape, sizes in the range of 50-100 nm. while EDS confirmed elemental purity with a Ti:O atomic ratio close to 1:2, suggesting the presence of oxygen vacancies that can enhance photocatalytic activity. The results establish green synthesis as a sustainable and efficient approach for producing biosynthesized products with potential applications in photocatalysis, antimicrobial activity, anticancer, anti-inflammatory, antioxidant etc.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Balanites aegyptiaca fruit pulp extract, Titanium dioxide nanoparticles

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Alcoholic cirrhosis, structured teaching programme, knowledge, students, Indore

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Stroke is one of the major causes of death and permanent disability in the world, and it generates an astronomical amount of scientific information that is ever expanding. The current practice of manually synthensizing this information is proving more difficult and it is a barrier to achieving timely insight generation and evidence-based decision making. This research presents a new machine reading framework that combines LDA topic modeling with Open IE to use stroke-related biomedical literature published between 2000 and May 2025 in an arteriosclerosis-related randomized controlled trial. This research curated a corpus of 179,219 PubMed abstracts by using stroke-specific MeSH terms and using the biomedical natural language processing tools to preprocess text and recognize an entity. Ten significant thematic clusters that consist of neuroimaging, acute reperfusion therapies, neuroinflammation, rehabilitation, and AI-driven stroke prediction became apparent in the analysis. Open IE captured over 4.1 million subject-predicate-object triplets, allowing querying by structure around comorbidities, the performance of drugs, and currently emerging risk variables like COVID-19. The current study noted an extreme increase in the number of studies that apply deep learning and large language models (LLMs) to predict stroke after 2022. Topic coherence scores and expert reviews were used in validating the model to ascertain the reliability of results. This was lastly achieved through the creation of an interactive web-based dashboard allowing them to visualize topic trends and explore the extracted knowledge to provide researchers with a dynamic way to discover literature. This paper proves the capability of machine reading to make literature review scalable and data driven and thus assist in faster discovery and better clinical decision-making in stroke research.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

brain stroke; machine reading; topic modeling; Open IE; biomedical NLP; stroke prediction; large language models

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

.The study focuses on analyzing consumer preferences and satisfaction towards eco-friendly products, a rapidly growing sector in the modern marketplace. With increasing global awareness of environmental degradation, climate change, and sustainable consumption, customers are gradually shifting from conventional goods to environmentally friendly alternatives. The objective of this study is to examine the factors influencing consumer choices, including awareness levels, product attributes, pricing, accessibility, and perceived quality. It also explores the extent to which these factors contribute to customer satisfaction and loyalty. Using both primary and secondary data, the research employs statistical tools such as Chi-Square tests to analyze the relationship between demographic variables and eco-friendly product adoption, and ANOVA to assess variations in satisfaction levels across different consumer groups. The findings reveal that although consumer interest in eco-friendly products is increasing, barriers such as higher costs, limited availability, and misconceptions about effectiveness remain significant. The study suggests that improving affordability, enhancing distribution channels, and promoting consumer education can significantly boost adoption and satisfaction. By providing empirical evidence, this study contributes to both academic literature and practical strategies for marketers, policymakers, and producers seeking to enhance sustainable consumption patterns.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Eco-Friendly Products, Consumer Preference, Green Marketing, Customer Satisfaction, Sustainable Consumption, Environmental Awareness

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Preparing for competitive examinations is often accompanied by heightened stress, anxiety, sleep loss, and social isolation, which collectively threaten students' mental well-being. This review identifies key risk factors--such as performance pressure, perfectionism, and sleep deprivation--and highlights protective influences like social support, structured study routines, and healthy coping strategies. Evidence shows that cognitive-behavioral interventions, study-skills training, and relaxation practices can effectively reduce test anxiety and improve performance. Institutions and policymakers play a crucial role in providing counselling, psychoeducation, and equitable support. Balancing academic rigor with student well-being requires coordinated individual, educational, and systemic interventions.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

competitive examinations, student well-being, test anxiety, sleep deprivation, interventions, academic stress

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Attitude towards blended learning refers to an individual's perceptions, feelings, and predispositions whether positive or negative towards the integration of traditional face-to-face teaching methods with online or digital learning environments. It reflects the extent of acceptance, satisfaction, and engagement demonstrated when participating in or supporting blended learning approaches. The present study aimed to develop a standardized scale for measuring attitudes towards blended learning among B.Ed. trainees. The initial pool of items was subjected to item analysis, and low-validity items were eliminated. The final version of the scale consists of 50 items, each rated on a five-point Likert scale. Both the validity and reliability of the scale were established.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Blended learning, attitude, Standardization

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The world of digital marketing is changing as a result of the quick uptake of automation and artificial intelligence (AI) technology. Businesses in India are rapidly using AI-driven solutions for chatbots, predictive analytics, targeted campaigns, and consumer segmentation, especially in up-and-coming commercial centers like Pune. This study investigates the scope and effects of automation and artificial intelligence on digital marketing strategies used by Pune-based companies. The study explores important facets of AI integration, perceived advantages, difficulties, and consumer engagement results using a mixed-method approach that includes surveys, interviews, and secondary research with 80 marketing experts. Research shows that companies using AI-powered solutions have better ROIs, more effective client acquisition, and higher levels of engagement than those using conventional techniques. However, issues including insufficient knowledge, worries about data privacy, and expensive implementation expenses continue to exist. Initiatives for skill development, government-sponsored programs for digital adoption, and cross-sector partnerships are among the suggestions. In addition to laying the groundwork for further research on AI-driven marketing in mid-tier Indian cities, this study offers marketers and policymakers practical insights.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Artificial Intelligence (AI), Automation, Digital Marketing, Pune Businesses, Customer Engagement, Predictive Analytics, Chatbots, Personalization, ROI

  License

Creative Commons Attribution 4.0 and The Open Definition