Volume 13 | Issue 11 |

 Abstract

Childhood is one of the most important and blissful stages in every human life, but it is never so with every child. Some children, especially orphans, have to face lots of problems in their lives, and there is no one to think about them, to console them, to help them exist in their lives. India is home to the largest population of orphan children (31 million) in South Asia. These children are at increased risk of psychosocial distress. After reviewing many studies were undertaken to assess the mental health among orphans placed in institutions, showed that in negative emotions like: depression, distress, anxiety, behavioral and emotional disorders, hyperactivity, abnormal pro -social behavior, peer problem, phobias, post traumatic disorder and aggressiveness orphans children and adolescents ranked high, even much higher compared to their normal counterparts in a society. The majority of research indicated that Orphans proved to be highly at risk of psychological disorders as compared to their non-orphan brethren. Some other studies showed that maternal death hurts the psychosocial well-being of the participants; their strong feelings for their mothers negatively affected their ability to develop coping strategies, which led to isolation, sadness, hopelessness, lack of peace, and fear of an uncertain future. This review article will highlight an immediate need for a supporting framework in the form of an intervention programme to meet the needs of such vulnerable groups so that they may avail themselves of the suitable services and advantages overall.

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 Keywords

Keywords: Psychological Well-being, Orphan, Childhood, Mental Health, Intervention program,

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: Cloud computing is a service model that provides users with the facility to store data remotely, thereby avoiding the cost and complexity of local data storage and maintenance. Numerous data integrity auditing schemes have been proposed to ensure the integrity of data stored in the cloud. In existing systems, users are required to use a private key to generate data authentication. To store this private key, users need hardware tokens (e.g., USB tokens, smart cards) and must remember a password to activate the key. If the hardware token is lost or the password is forgotten, most current data integrity auditing schemes become unusable. To overcome this limitation, we propose a new paradigm called data integrity auditing without private key storage and design a corresponding scheme. In the proposed system, biometric data (e.g., iris scan, fingerprint) is used as a fuzzy private key, eliminating the need for a hardware token. To verify user identity, a linear sketch with coding and error correction techniques is employed. Furthermore, we design a new signature scheme that supports blockless verifiability and is compatible with the linear sketch. Security proofs and performance analysis demonstrate that our proposed scheme achieves both high security and efficiency.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Cloud Computing,Data Integrity Auditing,Biometric Authentication,Fuzzy Private Key,Linear Sketch,Error Correction,Blockless Verifiability.

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Creative Commons Attribution 4.0 and The Open Definition

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ABSTRACT This study aims to explore the attitudes toward gender roles and attitude towards equity among married population. Understanding these concepts is vital for assessing how traditional and progressive beliefs coexist in modern society and their impact on social and domestic behaviors. The research utilized a quantitative approach, targeting married participants. Data collection involved the Gender Role Attitude Scale (GRAS; Zeynelo?lu & Terzio?lu, 2011) and the Gender Equity Scale (Kostick, Schensul, Singh, Pelto, & Saggurti, 2011), both designed to gauge individual beliefs and perceptions regarding gender roles and equity across different aspects of life. Additionally, the study collected demographic data including age, gender, and educational level. Descriptive and inferential statistical methods were applied to identify trends in gender role attitudes and views on gender equity. The expected findings aim to enhance understanding of current gender norms among adults and inform strategies for promoting gender equality within social and domestic settings. These results will be valuable for educators, policymakers, and social organizations working to challenge conventional gender norms and encourage egalitarian practices.

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Orthodontics, Clear Aligners, Conventional Braces, Aesthetics, Treatment Efficacy.

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Creative Commons Attribution 4.0 and The Open Definition

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This study explores the challenges associated with impulsive buying behavior in online shopping, highlighting its impact on both consumers and businesses. The convenience of digital platforms, personalized advertisements, and promotional strategies often trigger unplanned purchases, leading consumers to experience financial difficulties, regret, and reduced satisfaction. For businesses, impulsive buying can result in inconsistent sales, increased product returns and weakened customer loyalty. Understanding these challenges is essential to develop strategies that encourage responsible consumer behaviour and promote sustainable online retail practices.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Personalized Advertisements, Increased Product Returns, Unplanned Purchases

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Creative Commons Attribution 4.0 and The Open Definition

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Terrorism has changed overtime in tandem with technological advancement, evolving from hierarchical militant formations to decentralised online movements. The most recent developments in extremist recruiting and radicalisation in the twenty-first century have been artificial intelligence (AI) and online gaming environments. The combination of immersive gaming environments, algorithmic recommendation systems, and youth-driven digital subcultures has produced an ecology that is both dangerous and empowering. Extremist actor uses these platforms to create communities, disseminate false information, and prepare susceptible people, transforming routine online contacts into possible entry points for radicalisation. With the use of chatbots, deepfake technology, and AI-powered personalisation, radicals may also create appealing and focused narratives that resemble real peer interaction. The study finds key youth vulnerabilities that make young users especially vulnerable to online manipulation, such as identity problems, social estrangement, and digital immersion. The development of "serious games" for digital literacy, community policing programs like "Gaming with the Police," and gamified awareness campaigns aimed at refuting extremist narratives are among the counter-radicalization (P/CVE) approaches that are evaluated. Legal and ethical issues still exist in spite these initiatives. While proactive moderation is limited by constitutional free speech rights, surveillance powers are restricted by data privacy rules such as EU's General Data Privacy Regulation. Furthermore, disparities in international cyberlaw make it difficult to respond to online extremism in coordinated manner. The finding show that existing preventative tactics are still reactive, fragmented, and frequently ineffective in connecting with young gamers. The study suggests that a multifaceted approach is needed to mitigate AI-driven radicalisation, including cross-sector cooperation between governments, academics, and the game industry, as well as legal change and ethical AI governance. Societies cannot handle the growing relationship between AI, youth, and extremism and guarantee that technology act as catalyst for resilience rather than radicalisation unless they adopt a comprehensive and rights-respecting strategy.

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 Keywords

Keywords- Artificial Intelligence, Online Gaming, Youth Radicalisation, Counter- terrorism, Extremism

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Creative Commons Attribution 4.0 and The Open Definition

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With growing concerns over hygiene and worker safety, the demand for automated sewage management systems has significantly increased. This paper presents the design and development of a semi-autonomous sewage cleaning system that uses an L-shaped robotic arm operated by an ESP32 microcontroller. The system is designed to collect floating waste from sewage channels using a servo/DC motor and a net-based mechanism. By automating the cleaning process, the system reduces human exposure to harmful conditions while maintaining cost-effectiveness and operational efficiency. Future improvements such as IoT connectivity, solar power integration, and sensor-based automation can further enhance its functionality and sustainability.

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Sewage Cleaning, Automation, ESP32, Robotic Arm, IoT, Waste Management

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Creative Commons Attribution 4.0 and The Open Definition

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Floating drug delivery systems (FDDS) have a bulk density less than gastric fluids and so remain buoyant in the stomach without affecting gastric emptying rate for a prolonged period of time. While the system is floating on the gastric contents, the drug is released slowly at the desired rate from the system. After release of drug, the residual system is emptied from the stomach. This results in an increased GRT and a better control of the fluctuations in plasma drug concentration. FDDS can be divided into non-effervescent and gas-generating system. The floating microspheres (Hollow Microspheres) are the gastro-retentive drug delivery systems based on non-effervescent approach. Hollow microspheres are in strict sense, spherical empty particles without core, free flowing powders consisting of proteins or synthetic polymers, ideally having a size in the range 1-1000 micro meter. Gastro-retentive floating microspheres are low-density systems that have sufficient buoyancy to float over gastric contents and remain in stomach for prolonged period. The drug is released slowly at desired rate resulting in increased gastric retention with reduced fluctuations in plasma drug concentration.

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Microsphere, Gastro retentive, Hydrogels, Floating drug delivery system.

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Creative Commons Attribution 4.0 and The Open Definition

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This paper provides a comprehensive legal and ethical analysis of the integration of Artificial Intelligence (AI) into modern political campaigning. It examines the dualistic role of AI, which simultaneously offers unprecedented tools for voter engagement and campaign efficiency while posing significant threats to democratic integrity through the proliferation of disinformation, deepfakes, and invasive micro targeting. The paper conducts a comparative analysis of regulatory frameworks, contrasting the proactive, advisory-led approach of the Election Commission of India (ECI) with the comprehensive, rights-based EU AI Act and the fragmented, disclosure-focused legislation in the United States. Through an examination of key case laws, including the Cambridge Analytical scandal and incidents from the 2024 Indian general election, the paper identifies core challenges in regulation, such as the "pacing problem" of law versus technology and the tension between curbing harmful content and protecting free speech. The paper concludes by offering a multi-stakeholder framework of recommendations, advocating for amendments to existing Indian laws (the Representation of the People Act, 1951, and the Information Technology Act, 2000), mandating algorithmic and financial transparency, prohibiting specific malicious AI applications, and investing in public digital literacy to foster a resilient electorate.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Artificial intelligence, technology, election, deepfake, campaigns, politics

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Creative Commons Attribution 4.0 and The Open Definition

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The research, entitled "A Study of Institutional and Psychosocial Factors in Accessing Academic Status among Prostitutes' Children", was done to study the correlation between institutional and psychosocial factors and academic efficacy of the children of prostitutes. A descriptive-correlational research design was employed, and the sample consisted of 120 students from NGO-operated residential and government schools within Nagpur District, Maharashtra. Academic status, parental attitude, socioeconomic status, school environment, and teacher support were measured using standardized tools. The data were analyzed using descriptive statistics, Pearson correlation, t-tests, and ANOVA. The findings suggest a strong and positive correlation between academic efficacy and school environment, teacher support, parental attitudes, and socio-economic status. There was no significant difference in academic efficacy in relation to gender, but a significant difference was observed in relation to the different types of institutions, with students in NGO-run schools demonstrating higher academic efficacy. This research provides empirical evidence on institutional and psychosocial aspects which was related to academic efficacy and the necessity of inclusive educational methods for marginalized learners.

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 Keywords

Academic efficacy, prostitutes' children, school environment, psychosocial factors, inclusive education

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Creative Commons Attribution 4.0 and The Open Definition