Volume 13 | Issue 11

 Abstract

Oral hygiene plays a vital role in general health, yet many users fail to maintain optimal routines due to time constraints, inconvenience, and fragmented product ecosystems. This paper presents the design and prototyping of a modular oral care cabinet that integrates brushing, water flossing, UV-C sterilization, and ozonated rinsing into a single compact system. A user-centered approach involving surveys, ergonomic studies, and prototyping was employed. The final design features a shared brush-flosser trunk, embedded UV chamber, integrated ozonated water tank, and modular compartments. The concept enhances hygiene, convenience, and sustainability in daily routines. The system's intelligent integration ensures better hygiene while supporting eco-friendly practices. The article presents concept development, technical considerations, and testing outcomes, offering insights into its potential for market viability and user acceptance.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Oral health, modular design, UV sterilization, ozone therapy, sustainability, product integration, water flosser, overall oral care.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In today's digital era, a smartphone has become highly essential in communication, finance management, and even entertainment. This very fact of growing dependency on them has also increased their vulnerability in terms of cyber threats. Among these, Android devices are much susceptible to malware, phishing, spyware, ransomware, and unauthorized data access that threatens user privacy, data integrity, and system reliability. The following paper proposes a Mobile Threat Detection and Resolution App that will offer intelligent proactive protection against mobile-based threats. The system will incorporate both static and dynamic analysis techniques to efficiently detect known and unknown malware. In performing a static analysis, the system will check application permissions, certificates, and manifest files; whereas dynamic analysis will include monitoring network traffic, active running processes in the background, and access requests. Upon detection of any potential threat, its automated resolution module isolates or removes the malicious entity from within without requiring user interference. It also comprises a phishing link verification module and a report generation system to give the user an informative view about detected threats and safety recommendations. Real-time monitoring, by means of a lightweight design and user-friendly dashboard, empowers the app to enhance mobile security without affecting system performance. Experimental evaluation reveals its effectiveness in terms of high detection accuracy with low resource consumption and rapid response time compared with traditional antivirus tools.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Mobile security, threat detection, phishing link analysis, suspicious APK detection, Android application, static and dynamic analysis, cybersecurity, malware prevention, secure mobile computing.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Object recognition in underwater environment is extremely difficult because of problems like color distortion, light scattering, and decreased visibility. A hybrid approach that combines Multicolor Space Residual Networks (MCRNet) with Swin-YOLO fusion to increase object recognition accuracy and underwater image quality. Swin Transformer uses self-attention techniques to extract multi-scale hierarchical features, whereas MCRNet uses residual learning and different color spaces (RGB, HSV, and Lab) to restore texture details and correct color distor- tions. By efficiently improving feature representations, the Swin- YOLO fusion improves YOLOv8's real-time object identification capabilities. According to experimental findings, the suggested strategy works noticeably better than stand-alone techniques, which makes it a viable option for marine applications and underwater research.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Underwater Image Enhancement, Object Detec- tion, MCRNet, Swin Transformer, YOLOv8, Multi-Color Space Processing, Feature Fusion, Deep Learning, Computer Vision, Marine Applications

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Adolescence is a critical developmental stage characterized by rapid physical, cognitive, and emotional changes that often expose individuals to stress and emotional instability. Parental and family influences play a central role in shaping adolescents' capacity to manage stress and develop emotional intelligence (EI). This study explores the dynamic interaction between family environment, parenting styles, emotional support, and the stress management competencies of adolescents. Drawing on psychological and sociological frameworks, the paper highlights how positive family functioning and emotional communication contribute to enhanced resilience, emotional awareness, and regulation among youth. The findings underscore the necessity of strengthening family-based interventions and parent-adolescent communication to promote mental health and emotional well-being.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Adolescents, Emotional Intelligence, Stress Management, Parenting, Family Environment, Emotional Regulation

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

analytics based on machine learning (ML) is transforming data-driven decision making in a variety of sectors by helping businesses anticipate trends, streamline processes, and improve strategic planning. The main elements of predictive analytics--data collection, preprocessing, feature engineering, model selection, and performance optimization--are examined in this essay. Applications in manufacturing (predictive maintenance and quality control), supply chain management (route Predictive optimization and inventory planning), retail and e-commerce (customer behavior analysis and demand forecasting), healthcare (disease prediction and personalized treatment), and finance (fraud detection and risk assessment) are highlighted. Notwithstanding its disruptive promise, issues including model interpretability, data quality, and ethical considerations need to be resolved. Future developments in explainable AI (XAI), big data integration, and AI-powered automation will spur innovation in business world.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

HEALTH DATA ANALYTICS: PREDICT DISEASE AND IMPROVE PATIENT CARE USING MACHINE LEARNING

  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

Flexible work, Organizational support, Employee well-being, Hybrid work, Mental health.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The postmodern feminism revolves around the ideas of inclusivity and individual experiences; breaking the gender norms, rejecting the conventional roles, and redefining social standards set for women. The novel, Mrs. Draupadi Kuru portrays the similar themes by bringing in the female characters from Mahabharata to the present day world. Their journey and exploration in the modern world make them to redefine their identity by self reflecting their trauma and experiences of their past life in the present day life. This paper explores the postmodern feminist ideals in the novel by identifying the progress and change in the characters and how they redefined their identity and their life's based on their choice. Foucault's perception about power, role of media, discourse and the social construction helps to analyse the text to highlight how power is operated by the means of discourse and how femininity is socially constructed. Luce Irigary, Judith Butler and Helen Cixous focuses on the identity, patriarchy, discourse and culture and this paper reflects their key concepts by analysing the text.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Feminism, Identity, Redefine, Inclusivity, Gender.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This article endeavors to study the image of New Woman in Indian Scenario. The new woman was a feminist ideal that emerged in the late 19th century and had a profound influence well into the 20th century. In 1984, Irish writer Sarah Grand in her article.'The New Aspect of the Woman Question.' It was a Henry James who developed the phrase 'New Woman' when he used it to describe American emigrant living in Europe.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Emergence of New Woman in Indian Scenario

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Introduction: Smartphones bring many benefits when used for the basic intended purposes, but excessive use of smartphones might turn problematic and consequently, impairs well-being, negatively impacts academic performance, and leads to various psychological and physical complications among adolescents. 1 To create awareness about smart phone addiction among nursing students the researcher conducted the study "Prevalence of smartphone addiction and its relation with sleep of nursing students of a selected nursing institution in Kolkata, West Bengal." The objectives were to identify the prevalence rate of smart phone addiction, to assess the sleep status and to find out the relationship between smart phone addiction and insomnia among nursing students. Methodology: The research approach adopted was a non-experimental descriptive survey design. The study was conducted in a selected nursing Institution of Kolkata with sample size 110. Non probability consecutive sampling technique was used. The tools used were personal information, Smart phone addiction scale- SV, and Bergen insomnia scale (BIS) for data collection. The techniques used for data collection were questionnaire through online. Result: The findings showed 30.90% participants addicted to smart phone; 90% participants were found to spend 0-5 hours daily on screens. 55.46% students admitted to using their smartphone for at least 30 minutes after the lights were turned off, and 56.63% kept their smartphone near their pillow while sleeping. The insomnia among nursing students revealed 60.91%. Smartphone addiction had significant positive correlation with insomnia (r= 0.32). Conclusion: Future research can be built upon these findings and further investigation and intervention can be done. Addressing the problems proactively and awareness and precaution can enhance academic outcomes and student's health and balance in their life.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Smart phone addiction, sleep

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This research presents a fully implemented, end-to-end smart energy monitoring system integrating machine learning, a real-time backend service, and a Flutter-based mobile application. The system utilizes the publicly available COMBED dataset to simulate real-time smart meter readings at 30-second intervals via WebSocket streaming. Four machine learning models--KMeans clustering, Isolation Forest anomaly detection, LSTM short-term forecasting, and ARIMA long-term forecasting--enable comprehensive energy analysis including pattern recognition, anomaly alerts, and multi-horizon predictions. A FastAPI backend provides REST endpoints and WebSocket support with model inference latency below 100 ms. The Flutter application delivers a mobile-first dashboard with real-time charts, anomaly lists, bill estimation in INR, and forecast visualizations. Twilio SMS integration provides automated alerts for critical anomalies. This work distinguishes itself from prior literature through complete implementation, real-time simulation using open datasets, mobile-first architecture, and deployable multi-model integration. The system is reproducible, scalable, and extendable to real IoT smart meter hardware.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Smart Meters, Energy Monitoring, Machine Learning, Anomaly Detection, Time-Series Forecasting, Flutter, FastAPI, COMBED Dataset, IoT Analytics, Sustainable Computing

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This This study investigates secondary students' perceptions of learning difficulties in English in Odisha. English, as a global language, plays a vital role in India's education, yet many learners struggle with its mastery. Using a descriptive survey design, 80 Class IX students from four Odia-medium secondary schools (government and private) in Cuttack district were sampled through a combination of simple random, convenient, and purposive techniques. Data were collected using a validated 45-item Language Difficulty Perception Scale (reliability = 0.85). Findings reveal that most students consider English moderately difficult, with gender significantly influencing perceptions, while school type had no significant effect. The study highlights the need for inclusive and responsive pedagogical approaches to address students' learning difficulties and improve English language instruction. By centering learners' perspectives, the research contributes to both theory and practice in language education in Odisha.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

English Language, Secondary Students, Learning Difficulties, Perception, Odisha

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Prefilled syringe are more beneficial device for the purpose of drug delivery of parental dosage form. They are more convenient to manufacture and delivering the dosage of medicine. The review article discusses the components of Prefilled syringe, its applications and its compatibility with the packing material, Extractable and leachable and challenge's with the Prefilled syringe. This type of knowledge can familiarize the formulation scientist. In the use of Prefilled syringe as both packing and delivery system for pharmaceutical drug product is accelerating. Prefilled syringe must have good quality, stability and efficiency for both system including with the drug product. In that, the incompatibility study between the drug product and Prefilled syringe including the safety of the drug product.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

prefilled syringes

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper examines how generative artificial intelligence (AI) challenges traditional conceptions of authorship, creativity, and intellectual property. Using a theoretical framework drawn from literary theory (Barthes, Foucault), cognitive accounts of creativity (Boden), and contemporary legal and policy responses, the study interrogates whether machine-generated artifacts can be integrated into existing frameworks of ownership and moral attribution. The paper traces technological developments in generative models, analyzes landmark legal decisions and policy guidance, and proposes conceptual and normative responses that balance innovation, fair reward, and protection of human creative labor.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Digital Era, Innovation, Skills, Senses,Authenticity

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The present study investigates the interrelationship among Economic Growth, Exports, and Imports in India by employing advanced time series econometric techniques such as Cointegration analysis, the Vector Error Correction Model (VECM), and the Granger Causality test. The primary objective of this study is to examine both the long-run and short-run dynamics among these key macroeconomic variables that play a pivotal role in shaping India's economic performance. The analysis is based on secondary time series data covering the period from 1991-92 to 2022-23, corresponding to the post-liberalization era characterized by major economic reforms and increased openness to international trade. The results of the Johansen cointegration test confirm the existence of a long-run equilibrium relationship among Economic Growth, Exports, and Imports in India, indicating that these variables move together over time and are jointly influenced by underlying economic forces. The findings from the VECM further reveal the presence of a short-run adjustment mechanism, suggesting that deviations from long-run equilibrium are corrected over time, albeit gradually. Furthermore, the Granger causality analysis provides deeper insights into the direction of causality among the variables. The results indicate that Exports Granger-cause GDP, and GDP Granger-causes Exports, signifying a bidirectional causal relationship between economic growth and exports. However, in the case of imports, the findings show that GDP Granger-causes Imports, while Imports do not Granger-cause GDP, implying a unidirectional relationship from economic growth to imports. This suggests that India's rising income and production levels drive the demand for imports, whereas imports themselves do not significantly influence the country's economic growth. Overall, the study underscores the crucial role of exports in stimulating economic growth and highlights the importance of maintaining a balanced trade structure to sustain long-term economic development in India.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Agriculture, Globalization, Liberalization, Exports, Economic Growth, Industry, Imports, International Trade.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Effect of government intervention in the pricing of agricultural produce: A study of bhawanter scheme

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Effect of government intervention in the pricing of agricultural produce: A study of bhawanter scheme

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The present research is an attempt to observe how ESG-focused mutual funds differ from traditional non ESG mutual funds in Indian capital market. Existing literature shows mixed results regarding ESG funds' performance; some studies reporting outperformance and others showing underperformance relative to traditional funds. The study's primary concern is return and variability. There are three ESG mutual funds (Axis, ICICI, and Aditya Birla) who contribute more than 70% of total cumulative funds size under ESG theme in Indian market. These three mutual funds scheme has been considered for sample. Using monthly net asset value data from 2020 to 2024 we employed t-tests and f-tests to analyze mean returns and variance differences across three major ESG funds and their equity counterparts. Our findings reveal that ESG and equity funds demonstrate statistically distinct risk profiles, despite comparable mean returns. These findings suggest that ESG screening systematically affects portfolio construction and risk characteristics. Further, composition analysis shows that ESG and equity funds hold materially different portfolios despite both investing in the same equity instruments.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

ESG, Mutual Funds, Indian Mutual Fund Market, Risk Analysis, Fund Performance

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

India's foundational commitment was based on constitutional pluralism, a structure designed to accommodate the nation's immense diversity by guaranteeing specific rights for religious and linguistic minorities--including autonomy over educational institutions (Article 30) and the freedom of religion (Article 25). However, the current political and legal environment increasingly favors constitutional monism, an ideological drive for uniformity and assimilation. This research identifies two primary mechanisms eroding minority safeguards. First, the judiciary has introduced the Essential Religious Practices (ERP) doctrine, which empowers courts to determine the "core" tenets of a religion. This judicial rationalization allows for the selective state regulation of faith, often undermining the religious autonomy guaranteed to minority groups. Second, exclusionary legislation actively institutionalizes discrimination. The Citizenship Amendment Act (CAA) introduces a religious test for citizenship, fundamentally violating the constitutional mandate of equality. Simultaneously, state-level Anti-Conversion Laws target interfaith relationships and restrict the freedom of conscience, while security laws like the Unlawful Activities (Prevention) Act (UAPA) are used broadly to silence civil society and minority dissent. The confluence of restrictive laws, judicial overreach, and institutional failure has led to a sustained human rights deficit, fostering a climate of targeted discrimination and impunity. The report concludes that India must urgently adopt institutional reforms and repeal exclusionary laws to restore its secular, pluralistic constitutional identity.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Constitutional Pluralism, Minority Protection, Essential Religious Practices (ERP) Test, Citizenship Amendment Act (CAA), Secularism

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

ABSTRACT: The conventional Indian medicine - Ayurveda, Siddha, Unani describes various herbs, fats, oils and minerals with anti-inflammatory as well as wound healing properties. Wounds are injuries that cause a break or disruption in the continuity of the skin, mucous membranes, or underlying soft tissues. They can result from various causes such as trauma, surgery, burns, or pressure. Wound healing can be defined as a complex, dynamic, and well-coordinated process that results in the restoration of the anatomical continuity and physiological function of injured tissues. Various plant products have been used in the treatment of wounds over the years. Wound healing herbal extracts promote blood clotting, fight infection, and accelerate the healing of wounds. Hence in the current review, a list of the plants used in traditional medicine for the treatment of wounds was screened. Conducting detailed research on wound healing, health, and the development of safe, effective, and globally accepted herbal formulations for the treatment of cuts and wounds is of great importance to the scientific community.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Index Terms - wound, wound healing, plant products.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

India has seen a sharp increase in stressed assets, mostly in public sector banks. There are several discernible reasons that have contributed to this state of affairs. These include the global slowdown, problems with governance, political reasons, and wrongdoing and malice. As a result, both the general people and the Union Government, which essentially controls public sector banks, suffer large losses. As a result, the Non-Performing Asset increases. Using this chance, a thorough investigation into the causes of the declining asset quality in public sector banks is necessary. Four years' worth of data, from F.Y. 2012-13-02 to 2015-16, have been examined to determine the effect of stress advances.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Non-Performing Assts, Stressed Advances, Government Banks

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: Agriculture is a vital industry that supports the global economy, and plant diseases are a significant threat to crop productivity and food security. Quickly and accurately identifying plant diseases is crucial for effective treatment and prevention. Traditional methods of detecting diseases depend on manual observation and expert knowledge. These methods can be slow, subjective, and prone to mistakes. To tackle these issues, this research introduces an automated plant disease detection system that uses deep learning techniques. The proposed model uses Convolutional Neural Networks (CNN) to extract features and classify diseased and healthy plant leaves. The dataset includes images of various crop leaves affected by different diseases. We apply image preprocessing techniques like resizing, normalization, and data augmentation to improve the model's performance. Additionally, using pre-trained architectures like ResNet for transfer learning boosts accuracy and lowers computational costs. The trained model shows high precision and recall, proving its ability to identify multiple disease types with minimal human input. Experimental results demonstrate that this approach greatly surpasses traditional machine learning methods in classification accuracy and generalization. This work shows how deep learning-based systems can help farmers and agricultural experts detect diseases early, which can enhance crop yield and reduce losses. Future work plans to integrate the model into a mobile application for real-time disease identification and field use.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Key Terms - Artificial Intelligence (AI), Convolutional Neural Network (CNN), Deep Learning, Image Classification, Plant Disease Detection, Precision Agriculture, Machine Learning, Computer Vision.

  License

Creative Commons Attribution 4.0 and The Open Definition