Volume 13 | Issue 10 |

 Abstract

This paper examines the integration of sustainability within digital marketing, with a focus on identifying and evaluating green marketing strategies in the online environment. It explores how businesses can mitigate the environmental footprint of their digital operations while effectively integrating eco-friendly messaging into digital campaigns. Utilizing a mixed-methods approach combining a consumer survey (n=500) and multiple case studies, this research identifies a significant consumer willingness to reward authentic green strategies and penalize greenwashing. The findings suggest that sustainability in digital marketing is not just a trend but a strategic necessity driven by increasing consumer expectations, regulatory pressures, and the urgent need for environmental preservation. The study concludes that a framework combining technological efficiency, transparent communication, and ethical data practices is essential for credible sustainable digital marketing.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Sustainability, Digital Marketing, Green Marketing, Online Advertising, Eco-Friendly Strategies, Consumer Awareness, Greenwashing, Carbon Footprint, Stakeholder Theory, Transparency

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This review explores the dual capabilities of Oracle Cloud's BI Publisher and Oracle Transactional Business Intelligence (OTBI), evaluating their roles in enterprise reporting and analytics. As organizations migrate to cloud-native ecosystems, real-time analytics and formatted reporting have become integral to data-driven decision-making. OTBI empowers end-users with self-service analytics while BI Publisher supports pixel-perfect document generation. Through comparative performance studies, user satisfaction surveys, and architectural modeling, this paper reveals the strengths, limitations, and applications of each tool. It further proposes a theoretical framework and experimental insights to assist IT leaders in choosing the appropriate tool based on complexity, data latency needs, and reporting frequency. Future research opportunities include AI-enhanced analytics, cross-platform integration, and adaptive user experience design to address existing gaps in scalability, visualization, and interoperability.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Oracle Cloud, BI Publisher, OTBI, Business Intelligence, Cloud ERP Reporting, Enterprise Analytics, Real-Time Analytics, Oracle Fusion Applications, Data Visualization, Report Automation.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Electroconvulsive therapy (ECT) remains an effective yet controversial psychiatric treatment. This study assessed the knowledge and attitude of caregivers of psychotic patients toward ECT and evaluated the effectiveness of psycho education. An evaluative quasi-experimental study was conducted among 80 caregivers (40 IPD and 40 OPD) using a semi-structured questionnaire and Likert scale. Psycho education was provided to the IPD group, and post-test data were collected after seven days. Findings revealed significant improvement in knowledge (t=14.34) and attitude (t=9.49) in the IPD group, while minimal change was observed in the OPD group. The correlation between knowledge and attitude in the IPD group was strong (r=0.81). The study concluded that psycho education effectively improved caregivers' knowledge and attitude regarding ECT.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Psycho education, Knowledge, Attitude, Electroconvulsive Therapy (ECT), Caregivers, Mentally Ill, Effectiveness.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Accidental displacement of tooth or root fragments into the maxillary sinus during dental extraction is an uncommon but potentially serious complication in oral and maxillofacial practice. It most frequently involves maxillary posterior teeth, particularly the palatal roots of first molars, mesiobuccal roots of second molars, and third molars, due to their close anatomical proximity to the sinus floor. Displacement may occur because of thin or pneumatized sinus floors, root morphology, excessive extraction force, pre-existing pathology, or inadequate surgical technique. Clinically, patients may present with sudden disappearance of a tooth during extraction, oroantral communication, nasal regurgitation, sinus congestion, facial swelling, or purulent discharge. Diagnosis is guided by imaging modalities, with cone-beam computed tomography being the gold standard. Management involves immediate care, surgical retrieval via approaches such as Caldwell-Luc, functional endoscopic sinus surgery, or conservative intraoral techniques, and interdisciplinary collaboration. Preventive measures, prompt recognition, and tailored management are essential to minimize complications and preserve sinus and oral function.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Maxillary sinus, Tooth displacement, Oroantral communication, Extraction complication, Sinusitis

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The aim of this project is to build a smart system that can turn sign language into spoken words and written text. It is designed to help people who are deaf or cannot speak communicate more easily with those who do not understand sign language. Most sign language translator devices today are expensive and can only show text. To solve this, the system uses modern technologies such as Artificial Intelligence (AI) and Machine Learning (ML)[2]. These allow it to quickly recognize hand gestures and convert them into clear speech and readable text. The system uses computer vision to track and understand hand movements, along with a speech module that produces natural-sounding voice. It is simple, affordable, and easy to carry, making it useful in everyday situations like schools, hospitals, and public places. Another important feature is that the system can improve over time. As it collects more data, it can learn new signs and support different sign languages, becoming more accurate. We extract optical flow features based on human pose estimation and, using a linear classifier, show these features are meaningful with an accuracy of 80%.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

"AI-BASED SIGN LANGUAGE TO TEXT AND SPEECH CONVERTER"

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In this paper we prove certain fixed point theorems for multi valued and single valued mappings in such spaces, by using Generalized distance function. Our results extend some existing results.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Ordered set, Multi valued mapping, single valued mapping, fixed point.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Indian economy is riding on new wave of economic transformation pioneered by platform economy, driven by convergence of several factors such as strong digital ecosystem, tech - savvy people, fast pace of urbanization, increasing preference for freelancing, growing entrepreneur spirit among others. As a result, consumers, workers and business organizations look beyond traditional ways of doing business and employment and search for elements such as convenience, flexibility and autonomy, backed by trust and accountability in their day - to - day work and business transactions. Platform economy has the potential to offer these elements and emerge as win - win situation for all its stakeholders. It is also changing the traditional employer - employee relationship. 'Code of Social Security 2020' would prove to be a 'game - changer' in future. The present paper aims to analyse 'platform business' model in India, key growth drivers of this model, weighing its benefits and challenges and way ahead.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Digital ecosystem, Employability, Empowerment, Freelancing, Social Security

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Iron deficiency Anaemia represents the most common nutritional deficiency disorder worldwide, creating a significant public health issue across all demographics. This condition occurs when the intake, absorption, or utilization of iron is insufficient to meet the body's requirements, leading to reduced hemoglobin production and the development of small, pale red blood cells. Three stages often characterise the condition: first, the body's iron stores are depleted; next, the formation of red blood cells is decreased because of inadequate iron; and last, and the advent of observable Anaemia symptoms. Commonly experienced symptoms include fatigue, pallor, breathlessness, a rapid heart rate, fragile and brittle nails, tongue inflammation, hair thinning, and restless legs syndrome. Important risk factors encompass pregnancy, adolescence, heavy menstrual periods, vegetarian or vegan diets, weight-loss surgeries, regular blood donations, and chronic health conditions. From a physiological standpoint, iron deficiency compromises the body's capacity to transport oxygen, produce cellular energy, create DNA, and facilitate various enzymatic processes. Proper nutritional management is vital for both treating and preventing this condition, highlighting the significance of consuming heme iron sources like meat, fish, and poultry, as well as non-heme sources such as legumes, greens, and fortified grains, while also including enhancers like vitamin C. Nutraceutical strategies, including iron supplements, biochemically enhanced crops, and specially formulated functional foods, are crucial for improving iron levels. If untreated, iron deficiency Anaemia may cause cognitive and learning difficulties, a weakened immune system, complications during pregnancy, and a decreased quality of life.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Iron deficiency anemia, nutritional management, dietary strategies, iron supplementation, iron bioavailability, micronutrient deficiency, heme iron, non-heme iron folate, vitamin B12, ferritin; iron absorption inhibitors, phytates, tannins, calcium, women of reproductive age, pregnant women, food fortification, dietary diversification, public health nutrition, nutritional education, Anaemia prevention.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The exponential expansion of big data has emphasized the necessity for efficient frequent pattern mining (FPM) techniques capable of extracting meaningful insights from massive datasets. This study integrates and enhances previous research on optimizing the Apriori algorithm for distributed computing environments, particularly Apache Spark and Hadoop MapReduce. A Dynamic MapReduce approach combined with pruning optimization is proposed to minimize computational complexity and execution time. The enhanced Apriori algorithm achieved an execution time of 43.20 seconds under an optimal configuration of three mappers and two reducers in Apache Spark, compared to 83.20 seconds without pruning. Similarly, in Hadoop MapReduce, a dynamic configuration with five mappers and three reducers achieved 83.84 seconds, outperforming the static configuration (150.37 seconds). The results demonstrate that adaptive resource allocation and pruning based on the anti-monotone property can substantially improve scalability and efficiency. The findings have practical implications for data-intensive domains such as retail and healthcare, where optimized frequent pattern mining enables faster and more accurate decision-making.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Apriori Algorithm, Dynamic MapReduce, Apache Spark, Pruning Techniques, Frequent Pattern Mining

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Gujarat's economic development depends much on Micro, Small, and Medium Enterprises (MSMEs), who also greatly help to generate jobs, boost industry, and export volume. But finance restrictions typically cause MSMEs difficulty as they affect their viability and expansion. The effect of financial accessibility, taxation policies, and economic elements on MSME performance in Gujarat is investigated in this paper. According to the study, although high interest rates and loan rejection rates significantly affect financial resilience, credit availability and working capital management are absolutely vital for MSME development and sustainability. While financial knowledge is very important for good financial management, tax compliance expenses and GST loads further lower profitability. Furthermore greatly affecting MSME financial stability are economic elements such inflation, interest rate swings, and global trade policies; high inflation and borrowing rates therefore impede company growth. Emphasizing the importance of stronger financial policy and loan accessibility, a regression study shows that economic circumstances define 68% of MSME financial stability. To improve MSME financial resilience, the report advises governmental measures include streamlined tax structures, lower compliance costs, lower MSME interest rates, and financial literacy initiatives. Through tackling these financial difficulties, Gujarat's MSMEs may attain better development, more solid financial stability, and long-term sustainability, thus helping the state's economy to develop.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

MSMEs, financial accessibility, working capital management, taxation policies, GST compliance, economic factors, financial stability, interest rates, credit availability, business growth, Gujarat MSMEs, financial literacy, inflation, global trade policies

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Creative Commons Attribution 4.0 and The Open Definition