Volume 13 | Issue 9 |

 Abstract

The convergence of Financial Technology (FinTech) and Agricultural Technology (AgriTech) is revolutionizing the agricultural landscape in both developing and developed economies. Traditionally underserved by formal financial and technological infrastructures, the agricultural sector is now experiencing a wave of innovation that promises to enhance productivity, improve access to markets and finance, and build climate resilience. This research article explores how FinTech and AgriTech are reshaping rural economies by providing solutions for long-standing problems such as lack of access to credit, crop failure risks, market inefficiencies, and low yields. Through case studies, review of global and national initiatives, and evaluation of socio-economic impacts, the paper highlights how digital tools and platforms are empowering farmers, improving food security, and contributing to inclusive and sustainable economic growth. Strategic recommendations are provided to harness the full potential of these technologies in transforming agriculture and empowering rural communities.

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 Keywords

FinTech, AgriTech, Precision Farming, Digital Agriculture, Rural Finance, Agricultural Innovation, Farm-to-Market Solutions, Sustainable Agriculture

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 Abstract

Background: Postpartum coccydynia is a painful and disabling condition that affects women following childbirth. Objective: To compare the effectiveness of Muscle Energy Technique (MET) with phonophoresis versus phonophoresis alone in managing postpartum coccydynia. Methods: A comparative experimental study was conducted on 46 postpartum women clinically diagnosed with coccydynia. Participants were randomly allocated into two groups: Group A (n=23) received MET with phonophoresis and a home exercise program, and Group B (n=23) received phonophoresis only. Pain intensity (NPRS) and disability (ODI) were assessed before and after 4 weeks of intervention. Statistical analysis included paired and unpaired t-tests. Results: Both groups showed significant improvements (p < 0.0001). Group A demonstrated greater reduction in pain intensity, while Group B showed greater improvement in disability. Between-group differences were statistically significant. Conclusion: Both interventions are effective in managing postpartum coccydynia. Combining MET with phonophoresis yields superior pain reduction, while phonophoresis alone showed slightly greater disability improvement. A multimodal approach may provide optimal benefits.

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 Keywords

Coccydynia; Postpartum; Muscle Energy Technique; Phonophoresis; Physiotherapy

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 Abstract

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 Keywords

Diabetes, Prevalence, Risk factor, Non- communicable disease.

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This In the digital economy, businesses increasingly rely on data-driven approaches to personalize campaigns and maximize customer engagement. Predicting customer response to marketing campaigns is a crucial challenge in modern business analytics, where organizations seek to optimize targeting and maximize return on investment. This study explores predictive modeling of customer response behavior using machine learning techniques Random Forest and XGBoost with SHAP on a real-world marketing dataset containing demographic, behavioral, and spending attributes. The models are evaluated using classification metrics, confusion matrices, and ROC-AUC scores, ensuring a comprehensive assessment of predictive performance. Results indicate that while Random Forest achieved perfect classification on the dataset, suggesting potential overfitting, the XGBoost model coupled with SHAP offered comparably high predictive performance with the added advantage of robustness and explainability. XGBoost effectively captured complex feature interactions, such as age-gender effects, making it more reliable for real-world marketing applications. The results highlight the potential of explainable artificial intelligence (XAI) in enhancing targeted marketing strategies, while also identifying future directions for scaling the approach with real-world, multi-channel customer data. Furthermore, correlation heatmap analysis revealed significant behavioral patterns, highlighting the role of spending behavior and demographics in influencing engagement. These findings provide actionable insights for businesses to design data-driven, personalized marketing strategies. The research emphasizes the dual importance of predictive accuracy and interpretability, ensuring models are not only effective but also transparent and usable for real-world decision-making.

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 Keywords

Machine Learning, Customer Response Prediction, Random Forest, XGBoost, SHAP, Explainable AI, multi-channel campaigns, Behavioral Modeling.

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Artificial Intelligence (AI) in international and Indian export-import trade has been described to the readers in this review article. The paper outlines how AI technologies like machine learning, predictive analytics, and auto-mation are transforming cross border trade by automating logistics, en-hancing customs processes, risk management. Through AI, companies can attain higher efficiency, accuracy, and intelligent decision making, which minimizes delays and operational costs. Also, the present paper also men-tions the challenges of implementation, such as high cost, absence of digital preparedness, and absence of skilled labour. The review stresses that alt-hough AI offers enormous potential, its adoption requires planned structur-ing and supporting infrastructure. For India, the review believes that AI has the potential to hugely improve the efficiency of export-import operations, which will lead to more competitive trade in the international market. But this change will need proactive governmental interventions, higher invest-ments in digital, firm policy support, and awareness generation programs to ready exporters and importers for AI sustainable adoption.

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 Keywords

Artificial Intelligence, Import Business, Export Business, EXIM, Supply Chain Optimization, Global Trade, Trade Automation.

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Nutrition Feeding Automation System plays a significant role in enhancing precision agriculture, particularly in hydroponic farming where nutrient concentration directly influences crop yield and quality. This study presents the design and implementation of an Arduino-driven prototype for Nutrient Film Technique (NFT) hydroponics, integrating a TDS sensor for real-time nutrient calibration and a water level sensor for maintaining optimal solution volume. The Arduino Uno R3 serves as the control unit, processing sensor feedback to regulate nutrient and water delivery through servo-actuated valves. When nutrient concentration falls below 800 ppm, the system automatically dispenses fertilizer until the target threshold is achieved, while low water levels trigger automatic refilling. Experimental testing confirmed accurate detection of solution concentration and responsive adjustment of nutrient and water inputs, demonstrating improved consistency compared to manual methods. The proposed system highlights the potential of embedded automation for hydroponic management, reducing human error and ensuring balanced nutrient delivery for sustainable plant growth in controlled environments.

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 Keywords

Hydroponics, Nutrient Film Technique (NFT), Arduino Uno, Nutrition Feeding Automation System, TDS Sensor, Water Level Sensor, Servo Motor, Embedded System, Electrical Conductivity, Automated Agriculture.

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As digital reservation systems expand across travel, healthcare, hospitality, and other industries, the need for scalable, secure, and policy-compliant Application Programming Interfaces (APIs) has grown exponentially. API gateways, particularly enterprise-grade solutions like Akana, play a pivotal role in orchestrating, securing, and managing traffic between clients and backend services. This review evaluates the role of scalable API gateways in maintaining operational efficiency and regulatory compliance in modern reservation systems. Through comparative analysis, experimental validation, and architectural exploration, this paper highlights Akana's strengths in policy enforcement, integration flexibility, and performance under load. The review identifies existing research gaps, showcases Akana's performance against competing platforms, and outlines future directions in API governance, edge computing, and AI-driven policy automation.

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API Gateway, Akana, Reservation Systems, Policy Compliance, Scalability, Microservices, Traffic Management, OAuth, Cloud Security, API Governance.

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This paper explores the use of digital twin technology in retail environments, examining its potential to optimize operations, improve customer experiences, and streamline inventory management. A theoretical model for the integration of digital twin systems in retail is proposed, alongside a review of experimental results demonstrating the effectiveness of these systems. Key findings show that digital twins, when combined with AI and IoT, can lead to more accurate inventory management, better sales predictions, and increased customer satisfaction. The paper also discusses future research directions, including the integration of advanced AI algorithms, the expansion of digital twins to cross-channel retail, and the challenges related to scalability and data privacy. Overall, the research highlights the transformative potential of digital twin technology for modern retail operations.

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Digital Twin, Retail, AI, IoT, Inventory Management, Customer Experience, Sales Prediction, Data Integration, Real-Time Analytics, Retail Optimization.

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This paper investigates the construction of adulthood in J. K. Rowling's Harry Potter series and reimagines it through the theoretical lens of crossover fiction. While the series functions as a classic bildungsroman, tracing Harry's growth from childhood to adulthood, this study interrogates how notions of adulthood shift when juxtaposed with other fictional universes such as The Lord of the Rings, Star Wars, and The Hunger Games. Drawing on psychosocial theories (Erikson, Arnett), performativity (Butler), and fan studies (Jenkins, Busse), this paper argues that crossover fiction provides a unique space for challenging and rearticulating the meaning of adulthood. By situating Harry's journey within alternate moral and cultural frameworks, this study reveals adulthood as a dynamic, relational, and performative construct rather than a fixed endpoint. Ultimately, it proposes that adulthood in literature and popular culture is an evolving, context-dependent process that resists simplistic narrative closure.

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Keywords: Harry Potter, crossover fiction, adulthood, bildungsroman, fan studies, performativity, ethics

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This paper examines Salman Rushdie's 2024 memoir Knife: Meditations After an Attempted Murder through the lens of trauma narratives, resilience, and psychological recovery. On August 12, 2022, Rushdie was stabbed multiple times in a public attack--a violent culmination of decades of persecution following the publication of The Satanic Verses. In Knife, Rushdie transforms his near-death experience into a literary meditation, reconstructing his personal and creative identity through language. This paper employs Cathy Caruth's trauma theory and Judith Herman's framework on recovery to analyze Knife as a literary testament to survival. Through a close reading of the memoir, it interrogates how traumatic memory, vulnerability, and resilience intersect in narratives of violence. Furthermore, the paper situates Knife within postcolonial literary discourse, linking Rushdie's experience to broader issues of censorship, violence, and freedom of expression.

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trauma, psyche, resilience, recovery, memory etc.

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Creative Commons Attribution 4.0 and The Open Definition