Volume 14 | Issue 7 |

 Abstract

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Post-Activation Performance Enhancement (PAPE), Complex Training, Shot Put

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Creative Commons Attribution 4.0 and The Open Definition

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Multiplication rings and multiplication modules constitute an important area of modern abstract algebra, with significant applications in ring theory, module theory, commutative algebra and algebraic geometry. The concept of multiplication modules extends the notion of multiplication ideals in rings, where every submodule is generated by an ideal of the underlying ring. This property provides a strong relationship between the structure of a ring and the behavior of its modules, making multiplication modules an essential subject for theoretical investigation. The present study aims to explore the fundamental properties, classifications and applications of multiplication rings and modules while examining their role in understanding the algebraic structure of modules over commutative rings.

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STUDY OF MULTIPLICATION RINGS AND MODULES

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This research seeks to examine the representation of non human animals in the works of Kiran Millwood Hargrave, critically acclaimed speculative fiction novel is the Geomancer Trilogy made up of In the Shadow of the Wolf Queen (2023), The Storm and the Sea Hawk (2024), and The Ship of Strays (2025). While going beyond the traditional confines of the biocentric 'zoo critic', where animals are caged and shown in individual instances of institutional captivity, attempts to see Hargrave's fictional world as a macrocosmic manifestation of human exceptionalism and ecological domination. By considering the commodification, imprisonment and enforced exhibition of animals like the noble sea wolves and free birds under the despotic control of the Wolf Queen, Hargrave disputes the Anthropocene era's quest to rob animals of their agency. With characters like Ysolda and her friend Nara the sea hawk and other animals onboard the Ship of Strays, the trilogy provides a redemptive eco-narrative that demonstrates an intrinsic ontological longing for freedom, bodily autonomy and ecological parity. Trilogy requires an end to the notion of animals being passive displays of power.

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INDEX TERMS: Geomancer Trilogy, Kiran Millwood Hargrave, Zoo Criticism, Human Exceptionalism, Captivity, Animal Agency, Post-humanism.

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Varicose ulcers are chronic, non-healing wounds that frequently correspond to the clinical presentation of Dushta Vrana in Ayurveda. This report describes the case of a 35-year-old male worker who presented with a healing varicose ulcer around the ankle joint that had persisted for seven to eight months. The management protocol involved a phased, localized Ayurvedic intervention implemented over seventy days, including continuous Prakshalana with a Panchavalkala solution, initial topical application of an Anubhoota Yoga formulation of Dhathura Taila, and subsequent intensive Vrana Basti therapy with Jatyadi Ghrita. These localized treatments were supported by concurrent systemic oral medications. Following completion of this integrative protocol, the ulcer achieved complete clinical closure.

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Dushta Vrana, Siraja Vrana, Varicose Ulcer, Vrana Basti, Panchavalkala kwatha

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Artificial Intelligence (AI) and Computer Vision technologies have transformed the way users interact with digital systems by enabling contactless, intelligent, and immersive experiences. The integration of machine learning with browser-based applications has created new opportunities in retail, entertainment, education, and customer engagement. This paper presents the design and implementation of an AI-powered web platform that combines virtual clothing visualization, gesture-controlled interactive games, augmented reality hairstyle preview, avatar animation, automated customer greeting, and smart multimedia display management into a unified browser application. The proposed system employs MediaPipe landmark detection models for face, hand, and body pose estimation, enabling real-time human-computer interaction without requiring specialized hardware. A virtual clothing try-on prototype utilizes image capture, cloth sample extraction, prompt-guided AI image generation, and cloud-based processing to visualize garments on users while preserving facial identity and body posture. Interactive modules including Bubble Pop, Ball Bounce, Clap Firework, and Mirror Avatar demonstrate the application of computer vision for entertainment using natural human gestures instead of conventional input devices.

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Artificial Intelligence, Computer Vision, Machine Learning, Virtual Try-On, MediaPipe, Gesture Recognition, Browser-Based AI, Human Computer Interaction, Three.js, Virtual Avatar.

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The present study reports the green synthesis of CuO-SrO nanocomposites using the aqueous extract of Evolvulus alsinoides as a natural reducing and stabilizing agent. The proposed plant-mediated synthesis offers an environmentally benign, cost-effective, and sustainable alternative to conventional chemical methods by eliminating the use of hazardous reagents. The synthesized nanocomposites were characterized by UV-Visible spectroscopy to confirm their optical properties and successful formation. A characteristic absorption band observed in the 270-310 nm region indicated the formation of CuO-SrO nanocomposites through charge-transfer transitions between the constituent metal ions and oxygen. The antibacterial efficacy of the synthesized nanocomposites was evaluated against both Gram-positive (Bacillus subtilis, Bacillus cereus, and Staphylococcus albus) and Gram-negative (Escherichia coli, Pseudomonas aeruginosa, and Klebsiella pneumoniae) bacterial strains using the disc diffusion method. The CuO-SrO nanocomposites exhibited significant broad-spectrum antibacterial activity, with the highest zone of inhibition recorded against Pseudomonas aeruginosa (22 mm), followed by Staphylococcus albus (21 mm) and Klebsiella pneumoniae (20 mm). The enhanced antibacterial performance is attributed to the synergistic interaction between CuO and SrO, which promotes reactive oxygen species generation and membrane disruption. Overall, this work demonstrates that Evolvulus alsinoides-mediated CuO-SrO nanocomposites are promising multifunctional nanomaterials with potential applications in antimicrobial coatings, environmental remediation, and other biomedical technologies.

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Green synthesis; Evolvulus alsinoides; CuO-SrO nanocomposites; Antibacterial activity; Metal oxide nanoparticles

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Abstract Suicide has become a serious public health concern worldwide, affecting individuals, families, and communities. Suicidal behaviour does not occur due to a single reason; rather, it develops through the interaction of various biological, social, environmental, and psychological factors. Among these factors, psychological conditions have a significant influence on an individual's emotional experiences, thought patterns, and behavioural responses, which may increase the risk of suicide. The present study aims to examine the psychological factors influencing suicide risk. The study focuses on major psychological factors, including depression, anxiety, stress, and hopelessness. These factors are considered important contributors that may affect an individual's mental state and increase vulnerability towards suicidal thoughts and behaviours. The study attempts to understand the relationship between psychological conditions and suicide risk by examining different aspects associated with suicidal tendencies. The research highlights the importance of understanding psychological factors involved in suicide risk and explores the role of emotional and cognitive experiences in the development of suicidal thoughts and behaviours.

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Suicide Risk, Psychological Factors, Depression, Anxiety, Stress, Hopelessness, Mental Health.

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Creative Commons Attribution 4.0 and The Open Definition

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The rapid expansion of online learning platforms has significantly transformed the education sector by providing students with flexible and accessible learning opportunities. However, unlike traditional classrooms, online learning environments often lack direct interaction between students and instructors, making it difficult to understand students' emotional states and satisfaction levels during learning sessions. Student emotions such as happiness, confusion, boredom, frustration, and engagement play a vital role in determining learning effectiveness and academic performance. Existing e-learning platforms primarily focus on content delivery and assessment while ignoring emotional intelligence and personalized learning support.

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Creative Commons Attribution 4.0 and The Open Definition

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Online Learning, Student Emotion Recognition, Machine Learning, Deep Learning, Artificial Intelligence, Learning Analytics, Student Satisfaction, Facial Expression Recognition, Sentiment Analysis, Educational Data Mining.

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Millets, also known as Nutri-cereals, are extremely nutrient-dense and high-energy food crops that have been domesticated and grown for over 10,000 years. Usually, these crops are cultivated on marginal and degraded land with low soil fertility, especially low nitrogen content, and little rainfall. Finger millet, pearl millet, foxtail millet, barnyard millet, proso millet, kodo millet, and tiny millet are the main varieties of millets grown world wide.Millet output in India peaked in the 1980s, but since then, it has steadily decreased as a result of a major decrease in the area under cultivation, which was mostly caused by the domination of wheat and rice. Because millets are strong in dietary fiber, antioxidants, minerals, phytochemicals, polyphenols, and proteins, they are very helpful in reducing a number of diseases linked to certain lifestyle choices.

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Millets Nutri-Cereals Mass Media Nutritional Security Agricultural Communication

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The increasing use of digital communication has led to a rise in sophisticated phishing attacks targeting users through URLs, SMS messages, and manipulated images. Traditional detection methods often struggle to identify these evolving threats. This paper proposes a Multi-Model Cyber Phishing Detection framework using deep learning to analyze multiple data modalities. Dedicated preprocessing and feature extraction pipelines process lexical, semantic, and visual information independently before adaptive feature fusion. The integrated framework improves detection reliability and reduces false positives compared to single-modality approaches. Its modular architecture supports scalability, efficient feature learning, and real-time deployment. Experimental evaluation demonstrates consistent performance across different phishing scenarios, making the proposed system suitable for modern cybersecurity applications.

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- Cyber Phishing Detection, Deep Learning, Multi-Model Learning, URL Classification, SMS Spam Detection, Image-Based Phishing Analysis, Artificial Intelligence, Cybersecurity.

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Creative Commons Attribution 4.0 and The Open Definition