Volume 13 | Issue 11 |

 Abstract

This study investigates the relationship between ego strength and self-concept among teenagers, with special focus on gender differences. Ego strength refers to an individual's capacity to maintain emotional stability, resilience, and self-control under stress, while self-concept reflects one's perception and evaluation of the self. The sample consisted of 200 adolescents (100 males and 100 females) aged 13-18 years, selected from various schools through stratified random sampling. The Barron's Ego Strength Scale and the Tennessee Self-Concept Scale (TSCS) were used for data collection. Results indicated a significant positive correlation between ego strength and self-concept, suggesting that adolescents with stronger egos tend to have a more positive self-concept. Gender analysis revealed that girls scored significantly higher in self-concept, while boys exhibited marginally higher ego strength. The findings highlight the need for balanced emotional and self-development programs in schools to strengthen adolescents' personal identity and psychological resilience.

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Ego strength, Self-concept, Teenagers, Gender differences, Adolescent psychology

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Higher-education institutions largely depend on fragmented, paper-based outpass procedures that cause delays, create accountability gaps, and leave students, parents, and security staff uncertain about responsibilities. QuickPass, an automated outpass management system with RBAC and decision-support mechanisms, provides a unified digital framework to address these challenges. Students submit structured requests through a guided portal, while mentors and administrators view contextual data such as attendance history, recurring requests, and supporting documents to make informed decisions. Parent acknowledgements are captured through automated email/voice notifications, and security personnel validate QR-coded passes in real time, ensuring accurate entry/exit logs. A four-week pilot showed significant improvements: approval time reduced from 90 to 28 minutes, parent acknowledgement increased from 54% to 93%, gate discrepancies dropped by 82%, and student satisfaction rose from 2.8 to 4.3/5. The findings indicate that QuickPass enhances coordination, strengthens transparency, and modernizes campus safety without compromising human oversight.

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QuickPass; digital outpass automation; role-based access control; decision support; campus safety; stakeholder coordination; parental acknowledgement; real-time gate verification

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The present study investigates the relationship between self-esteem and home environment among Bachelor of Education (B.Ed) students. The objective was to explore how a supportive or nonsupportive home environment influences students' levels of self-esteem, which in turn affects their academic achievement, emotional stability, and professional readiness. A sample of 200 B.Ed students (100 males and 100 females) from selected teacher training colleges was chosen using a stratified random sampling method. The data were collected using Rosenberg's Self-Esteem Scale (1965) and the Home Environment Inventory developed by Mishra (1989). Statistical analyses including mean, standard deviation, correlation, and t-test were employed. The findings revealed a significant positive correlation between self-esteem and home environment. Moreover, students from supportive and democratic home environments exhibited higher self-esteem levels than those from restrictive or neglectful environments. The implications of the findings are discussed in the context of teacher education and psychological well-being.

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Self-esteem, Home Environment, B.Ed Students, Teacher Education, Psychological Well-being

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Phishing attacks persist as a critical and financially destructive threat in the digital domain, exploiting user weaknesses to acquire sensitive data such as bank credentials and login details. 1 The annual worldwide financial impact of these attacks has been estimated to be as high as US$5 billion, demonstrating the urgent need for robust detection mechanisms. 1 Traditional detection methodologies, particularly blacklisting, are inherently incapable of addressing zero-hour threats due to the attackers' frequent use of fast-flux networks and algorithmic URL generation. 1 This manuscript introduces the TrustLayer system, a novel hybrid architecture that seamlessly integrates a comprehensive, multi-tiered heuristic feature model with optimized ensemble Machine Learning (ML) classification. The synthesized heuristic model incorporates 16 distinct features, focusing on sophisticated structural evasion tactics (e.g., Punycode homograph attacks, excessive dot counts, and URL shortening services). 1 By leveraging empirically proven ensemble methods, notably the Random Forest algorithm, which achieved a detection accuracy of 97.14% and a low False Negative Rate (FNR) of 3.14% in prior studies 1 , TrustLayer is engineered to provide superior detection fidelity and resilience. The proposed system employs a staged classification pipeline optimized for low latency, ensuring real-time capability essential for mitigating modern cybersecurity threats.

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 Keywords

Phishing detection, URL scanner, URL safety check, Malicious link detector, Suspicious URL detection, Phishing URL checker, Online link scanner, Website safety checker, Fake website detector, Cybersecurity tool

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ChatGPT You said: Write abstract for Filling Up Wetlands Is Harmful to Nature ChatGPT said: Here is a clear and strong abstract for "Filling Up Wetlands Is Harmful to Nature": Abstract Wetlands are among the most vital and productive ecosystems on Earth, yet they are increasingly threatened by human activities, especially land-filling for construction and development. This practice destroys habitats, reduces biodiversity, disrupts natural water filtration, and increases the risks of floods and droughts. Wetlands play a crucial role in storing carbon, supporting wildlife, and maintaining ecological balance, making their loss a serious environmental concern. Filling up wetlands not only harms plants and animals that depend on these areas but also negatively affects human communities by increasing pollution and weakening natural climate resilience. Protecting wetlands is therefore essential for sustaining healthy ecosystems, ensuring clean water, and preserving environmental stability for future generations.

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ChatGPT You said: Write abstract for Filling Up Wetlands Is Harmful to Nature ChatGPT said: Here is a clear and strong abstract for "Filling Up Wetlands Is Harmful to Nature": Abstract Wetlands are among the most vital and productive ecosystems on Earth, yet they are increasingly threatened by human activities, especially land-filling for construction and development. This practice destroys habitats, reduces biodiversity, disrupts natural water filtration, and increases the risks of

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Page 1 of 1 Security, adding ranch profitability, and promoting sustainable agrarian practices power of deep literacy and digitalization, stakeholders can work towards icing food immense eventuality for revolutionizing agrarian practices in India. By employing the conclusion, the integration of CNN- grounded factory complaint discovery systems holds reliance on chemical interventions and promoting targeted treatment strategies. In technological advancements contribute to sustainable husbandry practices by reducing the easing prompt action to alleviate crop damage and enhance yields. also, similar into agrarian practices, growers can profit from early complaint identification, intervention and operation. By integrating CNN- grounded complaint discovery systems CNNs can effectively discern patterns reflective of colorful conditions, enabling timely point birth, and complaint identification. By totally analysing splint images, involves several crucial way, including image accession,pre-processing, segmentation, to this longstanding challenge. The process of factory complaint discovery using CNN CNNs for the discovery and bracket of factory conditions presents a promising result image processing, offering significant advantages over traditional styles. using Convolutional Neural Networks( CNNs), has surfaced as a important tool in digital maximizing crop yield and minimizing losses. Deep literacy, particularly food security. The capability to descry and manage factory conditions efficiently is pivotal for using technology becomes imperative for enhancing productivity and icing the arrival of digitalization percolating colorful sectors, including husbandry, conditions on crop yield and profitable issues for growers can not be exaggerated. With In India, where husbandry sustains over 70 of the population, the impact of factory

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DISEASE ,DETECTION NEURAL NETWORK

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Abstract The present study explores the relationship between emotional intelligence and student behaviour among degree college students in Sonitpur District, Assam. Emotional intelligence has emerged as a key factor influencing how young adults perceive, understand, and manage their emotions and relationships. The study adopted a descriptive correlational design with a sample of 300 undergraduate students, selected using stratified random sampling. Data were collected using the Emotional Intelligence Scale developed by Dr. Dalip Singh and Dr. N. K. Chadha (2001) and a standardized Student Behaviour Checklist. Statistical analysis, including correlation and t-test, was applied. The results indicated a significant positive relationship between emotional intelligence and student behaviour (r = 0.48, p< 0.05), implying that students with higher emotional intelligence tend to exhibit more positive behavioural patterns. The findings suggest the importance of incorporating emotional intelligence training in higher education to foster self-awareness, empathy, and responsible behaviour, aligning with the holistic educational goals of the National Education Policy (NEP) 2020.

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Keywords: Emotional Intelligence, Student Behaviour, Higher Education, Sonitpur District, Assam, NEP 2020

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Background: Mental health challenges among adolescents are a growing and significant public health burden in urban India. In a high-media-exposure environment such as Delhi and NCR, the prevalence rate of mental health problems among school-attending adolescents is estimated to be quite high, at about 23.33%. BCC often deploys anthropomorphic mascots as persuasive visual signs that are intended to simplify complex concepts and establish trust. However, the differential impact that variable semiotic structures-in particular, the design of the mascot, the cultural context, and the linguistic tone-have on youth perception and behavioral intent remains critically under-researched in the Indian context. This paper employs the framework of Visual Social Semiotics to deconstruct how localized cultural codes influence the persuasive efficacy of public health messaging aimed at the prevention of mental health and help-seeking behavior. Objectives and Methodology: The study attempts to investigate the differential effect of four types of public health mascot prototypes (Mascots A, B, C, D) on attitude and behavioral intent among urban Delhi adolescents, aged 13-19 years. The four conditions of the mascot vary essentially in their semiotic tonality and messages that accompany them: Emotional, Practical, Casual, and Authoritative. A quantitative, experimental-comparative, cross-sectional survey design was implemented in which a structured questionnaire containing several 5-point Likert scale items was administered to measure each key construct: Trust in Advice, Cultural Resonance, and Positive Attitude. Each participant was randomly exposed to one of the four mascot conditions. The analysis will compare the Mean Scores and Medians for each perception variable across the four mascot groups to descriptively assess which semiotic strategy produced the greatest efficacy. Outcomes and Conclusion: The central hypothesis is that mascots using culturally resonant visual signifiers and a relational, non-authoritative linguistic tone by the Casual or Practical approaches-will be significantly more effective in Trust and Behavioral Interest than will mascots using an institutional or directive tone-Mascot D. These findings are expected to provide empirical support for the view that Cultural Resonance serves as an important mediator because, without it, identification and trust cannot be established and because of the associated risk of negative identity outcomes mentioned earlier for mascots that are culturally dissonant. The findings will be used to develop evidence-based guidelines on how best to design effective, non-stigmatizing mental health mascots for the media-savvy, urban Indian youth demographic.

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 Keywords

Semiotics; Public Health Mascots; Adolescent Mental Health; Delhi; Visual Communication; Behavior Change Communication; Cultural Resonance; Quantitative Analysis.

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Background: Addiction remains one of the most pressing global public health challenges, encompassing both substance and behavioural dependencies. The emergence of mobile health (mHealth) applications offers innovative opportunities for prevention, early intervention, and recovery support. Objective: This narrative review explores the role, effectiveness, and challenges of mobile health applications in addiction prevention, with emphasis on global and Indian perspectives. Methods: A comprehensive search was performed across PubMed, Scopus, Google Scholar, and WHO databases from 2013-2024. Studies focusing on prevention and early intervention through mobile apps targeting substance or behavioural addiction were included. Results: mHealth apps integrate behavioural theories, cognitive-behavioural strategies, gamification, and self-monitoring tools to reduce addictive behaviours. Evidence indicates promising outcomes in smoking cessation, alcohol control, and digital addiction management. However, issues like data privacy, digital literacy, and limited long-term evaluation persist. Conclusion: Mobile applications have emerged as scalable, cost-effective adjuncts to traditional addiction prevention strategies. Integrating them into public health frameworks, especially in low- and middle-income countries, could enhance accessibility and community-level prevention efforts.

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Addiction prevention, mobile health, mHealth, digital health, substance abuse, behavioural addiction.

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Abstract Automated attendance systems have become crucial in schools and organizations. They replace manual roll call, reduce human errors, and improve productivity. This paper suggests a Wi-Fi-based automated attendance system that detects registered devices within a specific network range by scanning MAC addresses. The system verifies student presence by identifying authenticated devices connected or detectable through the Wi-Fi access point. To protect confidentiality and prevent unauthorized access, all attendance records are encrypted with AES-256 file-level encryption before local storage. The hardware uses a microcontroller/Wi-Fi development board to detect nearby devices. Meanwhile, a backend script automates data logging and secure file creation. The system was tested in a controlled setting and showed reliable detection within 8 to 12 meters, achieving an accuracy of 92% during peak device density. This proposed model is a cost-effective, secure, and scalable option compared to biometric or RFID systems, making it especially suitable for classrooms and small institutions.

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Index Terms-- Wi-Fi scanning, automated attendance, device detection, AES encryption, IoT, MAC authentication, secure logging.

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