Volume 13 | Issue 11 |

 Abstract

This study introduces a web-based intelligent platform designed to automatically identify, analyse, and estimate the severity of vehicle exterior damage from uploaded images. The proposed system uses a multi-stage deep learning pipeline that combines instance segmentation and regression models to detect damaged vehicle parts and calculate the corresponding repair cost. First, a segmentation network, trained on vehicle-damage datasets, isolates the affected regions and determines the damaged components. The extracted visual information, along with vehicle metadata and up-to-date cost parameters, is then processed by an regression model to predict both the severity category classified as Minor, Moderate, or Severe and an estimated repair cost. Experimental results on a curated dataset demonstrate high localization accuracy and low prediction error, confirming the system's capability to accelerate insurance claim processing and improve transparency in automotive damage assessment.

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 Keywords

Keywords: Deep Learning, Computer vision, Automated Damage Localization, Cost Estimation , Damage Severity Classification.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This review evaluates current research trends and regulatory challenges, highlighting gaps in knowledge and suggesting future directions for responsible nootropic use.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Nootropics, Smart Drugs, Cognitive Enhancement, Modafinil, Memory Boosters, Neuroenhancement, Brain Supplements

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The study was conducted in selected rural area about occupational dermatitis.The period of data collection was 4 weeks.A sample of 50 male and 50 female agricultural workers were selected from the Banandur,Baredoddi,Chatra villages coming under the Ittamadu PHC by non probability convenient sampling technique. The researcher initially established rapport with the study samples and assured confidentiality and purpose of the study was explained to samples. The data was collected using semi structured questionnaire to find out the knowledge about the occupational dermatitis. An information booklet was given to the participants and their relatives.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Occupational Dermatitis, Male & Female Agricultural workers, Rural area

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Melasma, a common pigmentary disorder poses therapeutic challenges due to its chronic nature and recurrence. Ayurvedic medicine offers a unique perspective with herbs like Rubia cordifolia (Manjistha), which possess varnya and depigmentary properties. In this case study, an external application of lepa of Manjistha (Rubia cordifolia) which is rich in anthraquinone compounds like purpurin, alizarin, and rubiadin mixed with Madhu (honey) was applied to a 52-year-old female patient with chronic melasma. These anthraquinones provide tyrosinase inhibition and antioxidant effects, reducing melanin synthesis. Result- After 2 months of daily application alongside lifestyle recommendations (pathya-apathya), significant depigmentation was observed without side effects. This integrated Ayurvedic-modern approach supports Manjistha's potential as a safe and effective treatment for melasma.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Vyanga, Melasma, Manjistha, Anthraquinones, Tyrosinase inhibition, Madhu

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Nanosponges are an emerging class of nanoscale, porous, three-dimensional structures capable of encapsulating, protecting, and delivering a wide variety of therapeutic agents. Their unique architecture, high surface area, tunable porosity, and ability to control drug release make them highly promising in modern pharmaceutical formulations. Nanosponges can be broadly classified into three major categories: composition-based, structure-based, and functionality-based systems. Composition- based nanosponges include polymeric, cyclodextrin, silicon-based, and carbonate nanosponges, each offering distinct biodegradability and compatibility profiles. Structure-based nanosponges differ in morphology, porous, hollow, and cage-like frameworks designed to enhance loading efficiency and sustained release. Functionality-based nanosponges incorporate stimuli-responsive, targeted, and surface-modified systems that enable precise, controlled, and site-specific drug delivery. These classifications provide a comprehensive understanding of nanosponge design, facilitating their application in drug delivery, diagnostics, biomedical engineering, cosmetics, and environmental remediation. Overall, nanosponges represent a versatile platform with vast potential to improve therapeutic outcomes through enhanced stability, solubility, and controlled drug release.

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Creative Commons Attribution 4.0 and The Open Definition

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Nanosponges, Cyclodextrin nanosponges, Drug delivery systems.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The health of the old has long been a concern in many nations, and our research has focused heavily on measures to improve the quality of life for the elderly. In order to give evidence for disease recovery, this study was carried out to learn more about the reality of social support and pain, self-perceived load, and kinesiophbia in senior patients with osteoarthritis of the knee.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Introduction ,kinesiophobia, self perceived burden, total knee replacement ,osteoartritis

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Needle Stick Injuries, Healthcare Workers, Occupational Hazard, Knowledge Assessment, NSI Prevalence, Blood-Borne Infections, Safety Practices, Post-Exposure Prophylaxis, Reporting System.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Blockchain technology represents a decentralized method of recording and verifying data across a distributed network. Instead of relying on a central authority, blockchain systems use algorithmic consensus to validate transactions and prevent unauthorized modifications.

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Creative Commons Attribution 4.0 and The Open Definition

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Blockchain, Distributed Ledger, Consensus Algorithms, Cryptography, Proof of Work, Proof of Stake, Decentralization, Nodes, Digital Signatures, Merkle Tree.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

India, experiencing one of the world's most rapid strides of urbanisation, launched the Smart Cities Mission (SCM) in June 2015. Envisioned as a flagship urban renewal and retrofitting program, its ambitious goal was to promote cities that provide core infrastructure, a decent quality of life to citizens, a clean and sustainable environment, and the application of 'Smart' Solutions. The Mission selected 100 cities through a competitive "Smart City Challenge," committing a substantial outlay to transform them into models of compact, inclusive, and sustainable development. The core strategy revolved around two components: Area-Based Development (ABD)--focused on retrofitting, redevelopment, or greenfield development in a specific area--and Pan-City Solutions--implementing smart technology across the entire city, often through integrated command and control centres (ICCCs). As the Mission approaches its extended deadline (June 2024), a comprehensive, critical appraisal is vital. This publication seeks to move beyond the project completion statistics and critically examine the SCM's impact on governance, finance, equity, and the fundamental question of whether it has truly fostered an inclusive and resilient urban future for all Indian citizens. This analysis draws upon the latest progress reports, parliamentary evaluations, and academic critiques to present a balanced yet rigorous assessment.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Green field, Gentrification, Area Based Development,SPV, AMRUT,Non Revenue water,Geographical Divide.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This research paper examines the interrelationship between voter behaviour, political campaigning, and caste mobilisation in democratic systems, with a primary focus on India. It evaluates how caste identities shape political preferences, how political parties deploy strategies to mobilise caste groups, and how evolving socio-economic conditions transform caste-based voting patterns. Drawing upon theories of political behaviour, identity politics, and social stratification, the paper highlights the continued relevance of caste in elections, even amid rising urbanisation, digital campaigning, and issue-based politics. The paper concludes by identifying emerging trends, including new forms of caste-neutral mobilisation, data-driven micro-targeting, and the reconfiguration of caste coalitions

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Voting Behaviour, Social Media, Political Campaigning and Social Stratification

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Creative Commons Attribution 4.0 and The Open Definition