Volume 14 | Issue 4 |

 Abstract

Traditional drug discovery is a costly, time-intensive, and high-risk process, with a single approved therapy requiring over $2.6 billion and more than a decade of research. Artificial Intelligence (AI) has emerged as a transformative force with the potential to fundamentally reshape every stage of the pharmaceutical pipeline -- from target identification and protein structure prediction to molecular design, ADMET profiling, and clinical trial optimisation. This paper presents a comprehensive review of AI applications, techniques, and real-world case studies in drug discovery. We examine core AI methodologies including deep learning, graph neural networks (GNNs), generative models, reinforcement learning, and transformer-based architectures, alongside landmark tools such as DeepMind's AlphaFold 3, Insilico Medicine's GENTRL, and BenevolentAI's knowledge-graph platform. Six structured tables map current limitations, technique comparisons, pipeline stages, real-world deployments, projected metrics, and known challenges. A four-phase experimental roadmap is proposed as a falsifiable path to empirical validation. Despite demonstrated successes, the field faces persistent barriers: data quality, model interpretability, wet-lab integration, and evolving regulatory frameworks. This review concludes that AI's role in drug discovery is transitioning from speculative promise to early clinical validation, and that multimodal foundation models, self-driving laboratories, and physics-informed AI will define the next era of pharmaceutical innovation.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

artificial intelligence, drug discovery, machine learning, deep learning, AlphaFold, generative models, ADMET prediction, graph neural networks, clinical trials, drug repurposing, reinforcement learning

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study investigates the nutritional potential and functional properties of Fucus vesiculosus, a brown macroalga recognized for its bioactive compounds, including phlorotannins, fucoidan, and fucoxanthin. F. vesiculosus demonstrates significant ecological, pharmaceutical, and industrial relevance, particularly in marine ecosystems and animal nutrition. The research highlights its seasonal ecophysiological variations driven by environmental factors, emphasizing the importance of its nutrient profile, which includes essential amino acids, minerals, and antioxidants beneficial for animal health and growth. The study further explores the hypolipidemic effects of phlorotannin-rich extracts, which have shown promise in improving lipid metabolism and mitigating hyperlipidemia in animal models, thereby potentially reducing atherosclerosis risk. Additionally, the antioxidant and anti-inflammatory properties of fucoidan are examined, revealing its role in modulating immune responses and preventing chronic inflammation-related diseases. Despite the limited research on F. vesiculosus in animal nutrition, its unique bioactive profile positions it as a valuable candidate for further exploration. This comprehensive characterization of F. vesiculosus aims to bridge existing gaps in literature and facilitate its empirical application in enhancing animal productivity and health, setting the stage for subsequent in vivo studies.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Fucus vesiculosus, Fucoidan, Fucoxanthin, Phlorotannins, Anti-cancer activity.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The increasing integration of digital technologies into everyday life has significantly transformed patterns of human interaction, raising concerns regarding their influence on interpersonal relationships and emotional well-being. The present study examines the relationship between digital dependence, interpersonal relationship quality, and loneliness among individuals across different age groups.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

digital dependence, interpersonal relationships, loneliness, emotional well-being, social media use.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Schiff base have appreciable recognition in literature . It is a part of organic chemistry. It shows nitrogen with double bond in stereochemistry. It belongs to azomethine group with structural formula RHC=NR1. Primary amines and carbonyl compounds react to derived Schiff base from condensation reaction. In 1864 schiff reported this reaction. It attracts the attention in literature. A number of studies represented SP2 hybridized orbital of nitrogen atom with lone pair with electrons. The stable molecule of Schiff base with metal indicates medicinal properties as anticancer , antimicrobial , anti inflammatory and anti fungal properties.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Schiff base ; Stereochemistry ; Condensation ; Hybridized orbital ; Medicinal properties.

  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

Crop Disease Detection, Deep Learning, EffiecientNetB4, Transfer Learning, PlantVillage Dataset, Image Classification, Precision Agriculture.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Twentieth-century revival of Buddhism in India was influenced by the contributions of Bhadant Anand Kausalyayan (1905-1988) as a translator, teacher and organizer. In addition to its many other dimension, the Kausalyayan's translations into vernacular languages, his public pedagogy (lectures, travel writing), and his organizational activities had a significant influence on the transformation of Buddhism from being largely a monastic/scholarly tradition to becoming a movement that was accessible, literate, and institutional in nature, especially in the context of post-conversion that followed B.R. Ambedkar's followers. Based on textual analysis of Kausalyayan's published translations and essays, archival bibliographies, and secondary literature on modern Indian Buddhist movements, the paper will show how Kausalyayan's translations functioned as a form of cultural infrastructure in providing the basis for study circles, catechesis, and community formation. The paper concludes with some reflexive thoughts regarding the translational politics of Kausalyayan's translations and recommendations for future reception and comparative studies.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Bhadant Anand Kausalyayan, Vernacular Translation, Buddhist revival, Tipi?aka, Ambedkarite Buddhism.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Friction plays a critical role in the interaction of skin and fabric. Increasing skin wetness impact on the skin and fabric, resulting in discomfort or skin infections. In this study, fabric will be examined by comparison of the woven fabric, crimp and knitted fabric. Knitted fabric has a non-uniform rough surface compared to other fabrics. Friction and sheer forces acting on the skin under increased moisture and temperature level in sportswear. As the study, result show that knitted fabric are suitable for sportswear according to the performance of the athlectics. After the all research, may be experimenting with another different fabric at another stages of performance for the better future relevant.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Fricttion, Adhesion, Deformations, Coefficient, Comfortability

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The rapid Industrial environments frequently experience machine breakdowns, technical delays, and communication barriers that reduce productivity and increase operational costs. Existing industrial support systems generally rely on cloud-based voice assistants or manual troubleshooting methods, which are not suitable for noisy and low-connectivity industrial environments. This paper presents TechnoBot, an AI-based robotic assistant designed to provide intelligent industrial support through voice interaction, computer vision, multilingual communication, and offline processing. The proposed system is implemented using Raspberry Pi, Python, OpenCV, speech recognition, text-to-speech, and AI-based chatbot integration.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

AI Robot, Raspberry Pi, Industrial Automation, Speech Recognition, Computer Vision, Offline Chatbot, Multilingual Voice Assistant

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Cryptocurrencies and blockchain technology are transforming the global financial ecosystem by introducing decentralized, transparent, and secure transaction mechanisms. This research paper explores the role of cryptocurrencies and blockchain in shaping future financial transactions, highlighting their advantages, applications, challenges, and long-term implications. The study concludes that while these technologies hold immense potential, regulatory, technical, and security concerns must be addressed for widespread adoption.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Cryptocurrency, blockchain technology.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Social media has become an integral part of modern life, influencing communication, behavior, and overall well-being. While it offers significant benefits such as global connectivity, information sharing, and mental health support communities, excessive and unregulated use has raised serious concerns regarding psychological, emotional, and physical health. This paper presents a comprehensive review of the dual impact -- both positive and negative -- of social media usage on human health. It explores key areas including mental health disorders, sleep disruption, self-esteem issues, addiction, and physical health consequences, alongside beneficial applications such as awareness campaigns, telemedicine, and support networks. The study also highlights analytical comparisons, real-world observations, and future directions to address emerging challenges. The findings indicate that social media acts as a "double-edged sword," where balanced usage determines whether outcomes are beneficial or harmful.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

social media, mental health, digital addiction, anxiety, depression, online behavior, cyberbullying, sleep disorders, health awareness.

  License

Creative Commons Attribution 4.0 and The Open Definition