Volume 14 | Issue 5 |

 Abstract

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 Keywords

liposomes, drug delivery, targeted therapy, nanoparticles, active targeting, passive targeting, EPR, PEGylation.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The **Smart Intrusion Detection System (Smart IDS)** is a hybrid AI/ML framework designed to secure cloud environments against sophisticated threats, including brute-force attacks, malicious query execution, and unauthorized data extraction. Recognizing the limitations of conventional systems--specifically the poor adaptability of static rules and the high false-alert rates of isolated machine learning models--this system integrates **deterministic threat heuristics** with **Isolation Forest-based anomaly detection**. A **weighted risk scoring model** ($R = 0.7 cdot S_{r} + 0.3 cdot S_{m}$) dynamically categorizes incidents into operational severity tiers. To alleviate analyst workload while maintaining data privacy, the framework utilizes a **locally deployed Large Language Model (Mistral)** to generate incident summaries and mitigation guidance for high-severity alerts, ensuring sensitive logs are not shared with external parties. The platform features a **real-time React-based dashboard** for monitoring risk trends, geographic attack sources, and active alerts. Experimental results indicate that the hybrid approach achieves **93.4% accuracy**, significantly outperforming standalone rule-based or machine learning models.

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 Keywords

Cloud Security , Intrusion Detection System (IDS) , Artificial Intelligence , Machine Learning , Hybrid Detection , Isolation Forest , Real-Time Analytics , Cybersecurity , Weighted Risk Scoring , Local Large Language Model (LLM) , Incident Response , Threat Heuristics , Cloud Privacy , Security Dashboard.

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The Automated Video Summarization System is an AI-based application designed to generate concise and meaningful summaries from video content. The system accepts video uploads or video links, extracts audio, converts speech into text using Whisper ASR, and generates summaries using transformer-based models such as BART. It also provides features like customizable summary length, key-point generation, text-to-speech output, and interactive question generation for better understanding. The system aims to reduce time consumption and improve accessibility in video content analysis.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Video Summarization, Artificial Intelligence, Whisper, BART, NLP, ASR, Machine Learning

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 Abstract

Continuous and Comprehensive Evaluation (CCE) was introduced into the Indian education system as a radical reform designed to shift the academic paradigm from traditional, rote-learning and examination-centric methods toward a holistic, learner-centered assessment model. Rooted in formative assessment principles and constructivist theories, CCE integrates cognitive, affective, and psychomotor domains to reduce student anxiety and provide ongoing diagnostic and remedial feedback. However, its nationwide execution has consistently encountered a persistent "policy-practice gap" that prevents it from realizing its full pedagogical potential in the classroom. This study provides a systematic review and meta-analysis of empirical research following PRISMA guidelines to synthesize peer-reviewed literature published over the past 15 years, examining broad geographical public and private school contexts across India. Utilizing a mixed-methods data analysis procedure, the findings reveal a distinct duality in outcomes: while CCE successfully mitigates exam-related anxiety and recognizes diverse student talents, it can also result in an overwhelming volume of project work that makes learning feel mechanical, and a lack of traditional examination pressure can inadvertently diminish learner motivation. For educators, the core theoretical goals of CCE are severely undermined by a heavy non-teaching clerical workload, excessive documentation, high pupil-teacher ratios, and an acute lack of practical professional training. Furthermore, sharp institutional disparities exist, as well-resourced private schools generally facilitate a smoother transition to CCE due to superior institutional backing, whereas government schools heavily struggle under severe resource limitations and administrative stress. Conversely, findings indicate that integrating ICT tools (such as rubrics and digital presentations) effectively streamlines record-keeping and helps teachers manage evaluation techniques without increasing clerical burdens. Ultimately, this study concludes that to bridge the policy-practice gap and ensure true holistic student development, educational authorities must urgently streamline reporting frameworks through digital mechanisms, improve school infrastructure, provide hands-on pedagogical training, and reorient classroom culture toward meaningful activity-based learning.

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 Keywords

Keywords: Continuous and Comprehensive Evaluation (CCE); Meta-analysis; School Education; Formative Assessment; Holistic Development; Policy-Practice Gap.

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Creative Commons Attribution 4.0 and The Open Definition

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"I am He" or "I am 'That" is what Sohum means. What does "That" mean? It refers to Brahman, the Almighty God, the Universal Soul.The faint sound of "So" is produced by breathing in, and the"Sohum" is the result of the slight "Hum" sound produced while exhaling.This mantra is the breath's natural inhalation and exhalation, which occurs in all living things with varying frequency, including humans.

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 Keywords

Ajapa Japa, Sadhana, Sohum, Humsa, Mantra, and Meditation

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Legal Advisor Using React and API is an AI-powered web application designed to provide basic legal guidance for users facing real-life legal issues. The system allows users to describe their problems in natural language and generates appropriate legal recommendations, procedural steps, and preventive suggestions. Developed using React and API integration, the platform offers a simple and user-friendly interface for accessing legal information quickly. The application helps improve legal awareness and accessibility by assisting users with common issues related to cybercrime, consumer rights, property disputes, and civil complaints. The project demonstrates the effective use of Artificial Intelligence in modern legal assistance systems.

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Creative Commons Attribution 4.0 and The Open Definition

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Keywords Artificial Intelligence, Legal Advisor, React.js, API Integration, NLP, Legal Recommendation, Web Application.

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Creative Commons Attribution 4.0 and The Open Definition

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The study focuses on the formulation and evaluation of a compact herbal face pack designed to enhance skin glow and maintain overall skin health. The formulation utilizes natural ingredients such as Neem, tulsi, red lentils, honey, rice which are known for their cleansing, exfoliating, and rejuvenating properties. The ingredients were blended in specific proportions to produce a fine, compact, and easy-to-use powder form that can be activated with rose water or milk before application. The prepared formulation was evaluated for various parameters including organoleptic characteristics, pH, spreadability, smoothness, irritancy test, and stability studies. The results indicated that the formulated face pack exhibited good homogeneity, pleasant fragrance, smooth texture, and an ideal pH suitable for all skin types. It was found to effectively remove excess oil, impurities, and dead cells, thereby improving skin brightness and softness. The study concludes that the developed compact face pack provides a safe, natural, and effective alternative to synthetic cosmetic formulations for glowing skin.

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Creative Commons Attribution 4.0 and The Open Definition

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Compact face pack, herbal formulation, glowing skin, neem, orange peel , sandalwood, multani mitti natural cosmetics, skin care, evaluation, stability study.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Bharatiya shastriya sangeet ka bhavishya

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Bharatiya shastriya sangeet ka bhavishya

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Metacognitive awareness represents a critical competency for effective teaching, enabling educators to reflect on their thinking processes and instructional decisions. This research investigates the levels and patterns of metacognitive awareness among pre-service teachers and explores implications for developing reflective teaching practices. Through a mixed-methods study involving 320 pre-service teachers across four teacher education institutions, this research employed the Metacognitive Awareness Inventory (MAI) alongside qualitative reflective journal analysis. The findings reveal that pre-service teachers demonstrate moderate overall metacognitive awareness (mean score 3.42 on a 5-point scale), with significant variations across different metacognitive dimensions. Knowledge of cognition scored higher (3.68) than regulation of cognition (3.21), indicating stronger theoretical understanding than practical application of metacognitive strategies. Notably, 62% of participants showed weak connections between metacognitive awareness and actual teaching practice during field experiences. The research identifies critical gaps in procedural and conditional knowledge that hinder reflective teaching development. These findings have important implications for teacher education programs, suggesting the need for explicit metacognitive instruction, structured reflection protocols, and authentic teaching contexts that promote metacognitive strategy application. This study contributes to understanding how metacognitive competencies develop among novice teachers and provides evidence-based recommendations for strengthening reflective practice in teacher preparation.

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Creative Commons Attribution 4.0 and The Open Definition

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Metacognitive awareness, pre-service teachers, reflective practice, teacher education, knowledge of cognition, regulation of cognition, teaching strategies

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In recent years, generation cost and fuel emission have been essential to minimize to sustain on the planet. Fossil fuel has been enormously utilized for power generation for a long time. It is required to manage the demand of customer and efficiently utilize the fossil fuels. The economic load dispatch problem has been considered to solve the crisis of conventional energy resources. So here, a novel stochastic optimization approach to solve constrained economic load dispatch problem using hybridization of Particle swarm optimization. This review paper shows that by applying PSO algorithm the power demand can be successfully met at minimum generation cost incurring minimum transmission loss.

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 Keywords

ELD - Economic Load Dispatch, PSO - Partical Swarm Optimization

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Creative Commons Attribution 4.0 and The Open Definition