Volume 13 | Issue 11 | November 2025

 Abstract

Employee onboarding plays a crucial role in enhancing organizational effectiveness by improving employee retention, satisfaction, and performance. A smooth onboarding process helps new hires adapt to organizational culture, understand job expectations, and build connections with their teams. This conceptual literature review explores the theoretical foundations, existing research, and practical strategies for effective onboarding. The paper also proposes a conceptual model linking onboarding practices to employee engagement and performance, mediated by job satisfaction and organizational commitment.

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Employee onboarding. organizational commitment

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Sayyid Mawdudi's social thought provides an engaging perspective that emphasises the universality of justice, equality, and human dignity. In a society discernible by ethnicity, inequality, and injustice, Mawdudi's thought challenges conventional wisdom by providing a framework that undermines the boundaries between nationalism and ethnicity. His conception of a just society is based on the human values embedded in the Quran, which uphold the protection of individual liberties and the establishment of social harmony via moral leadership. This paper explores Mawdudi's social thought, highlighting how his vision of an Islamic society seeks to create an equitable and welcoming community that prioritises the welfare of all people, regardless of their origins, race, or religion. By examining Mawdudi's views on social justice, the study highlights his contributions to global ethical discourse and his call for a universal, compassionate strategy to address contemporary social challenges. Ultimately, by advocating for a standard, moral duty to build an inclusive and just society for all, Mawdudi's social thought offers a powerful counterweight to the individualistic and divisive philosophies of the modern world.

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Mawdudi, Social Thought, Humanity, Universality.

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Management of uncooperative paediatric dental patients poses significant challenges, particularly among those with special healthcare needs. This case series presents three pediatric cases managed using different pharmacological behavior management techniques: intranasal conscious sedation with dexmedetomidine, intranasal midazolam, and general anaesthesia. The intranasal route offered effective sedation with rapid onset, minimal invasiveness, and predictable recovery profiles, enabling successful completion of endodontic procedures. General anaesthesia facilitated full-mouth rehabilitation in a partially blind six-year-old child, ensuring comprehensive care in a single visit. Each approach was selected based on the child's behavioral profile, treatment needs, and medical status. All cases were completed uneventfully with satisfactory outcomes and smooth postoperative recovery. These cases highlight the significance of individualized sedation strategies, interdisciplinary collaboration, and preventive education for parents in achieving safe, efficient, and compassionate pediatric dental care

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General anaesthesia, Conscious sedation Full mouth rehabilitation, dental anxiety

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The project titled Heath Recorder is a web-based and mobile-compatible platform developed to solve the modern-day problem of finding jobs within one's local area. It acts as a bridge between job seekers and nearby employers by using geolocation technology to match jobs within a configurable radius. The platform caters especially to the unorganized and blue-collar workforce who are often under-served by traditional job portals. The system was developed using technologies like PHP, MySQL, HTML/CSS, JavaScript, and Google Maps API. It features modules for user registration, job posting, job browsing, application tracking, and security layers for data protection. This report details the system's design methodology, development process, technology stack, testing strategy, and real-world application. The Heath Recorder platform aims not only to connect people with opportunities but also to contribute toward the growth of local economies by reducing commuting costs and supporting neighborhood hiring.

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Geolocation, Local Jobs, PHP, MySQL, Blue-Collar Workforce, Web Application

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ABSTRACT The language known as Urdu is intimately bound up with the history of the Indian subcontinent -- its courts, its cultures, its social transformations, and its upheavals. Correspondingly, the literary tradition in Urdu has a rich and complex history in India. From its beginnings as a colloquial speech in the Muslim-ruled courts of the Deccan and North India to its rise as a major literary medium of poetry and prose, and from the 19th- and 20th-century modern developments to its present day status, Urdu literature in India reflects the social, cultural and political currents of its times. Using this as a backdrop, this essay traces the development of Urdu literature in India, its major periods, genres, figures and issues. To understand Urdu literature, one must begin with the language itself. The evolution of what we call Urdu (and before that Hindavi, Zaban-e-Dehli, Rekhta, Dakkhani) occurred over many centuries in the Indian subcontinent. According to the National Council for Promotion of Urdu Language, Urdu developed in the post-12th-century period as a "linguistic modus vivendi" under the influence of incoming Muslim rule -- Persian, Arabic and Turkic contacts merged with local Apabhra??a dialects and emerging northern Indo-Aryan speech forms. For instance, the earliest extant work in the Dakkhani variety (southern Urdu) is the verse narrative Kadam Rao Padam Rao (c. 15th century) by Nizami. The label "Urdu" itself, meaning "camp" (from Turkish) or "army-camp language", came to be used later; but the literary tradition grew through various regional varieties (Dakkhani in the Deccan, Rekhta in the north, etc.). Thus, the foundation was laid: by the 14th-15th centuries there were religious prose treatises and poetic works in the new speech; but secular literary writing in Urdu proper would flourish later.. Mir's poetry primarily revolves around the theme of love--both earthly and spiritual. His ghazals capture the emotional depth of unfulfilled love, longing, and separation, expressed in a language that is delicate yet powerful. Unlike many poets who adorned their verses with complex imagery, Mir's style is marked by simplicity and sincerity. He focused on the inner emotional world of the lover, portraying the heart's pain with remarkable precision. His couplets often evoke universal human emotions, transcending time and culture.

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Key terms: Classical Poetry, Diversified themes, Literary genres, Challenge, Scope, Optimism, Universalism, Immortality.

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Shankaracharya's Smarta tradition and Tulsi's poetry

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Shankaracharya's Smarta tradition and Tulsi's poetry

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The present study aimed to examine the level of self-confidence among male and female students in Chhatrapati Sambhajinagar, Maharashtra. A sample of 200 students (100 males and 100 females) was selected using random sampling techniques. All participants belonged to similar socio-economic backgrounds. The Self-Confidence Inventory developed by Dr. Rekha Gupta was used to measure self-confidence levels. The obtained mean scores were 27.50 (SD = 12.25) for male students and 21.25 (SD = 8.50) for female students. The computed t-value was 4.08, which was found to be significant at the 0.01 level, indicating a significant difference between male and female students in their self-confidence levels. The results suggest that male students possess higher self-confidence than female students.

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Self-Confidence, Gender Differences, Students

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Thonmam (myth) is a timeless culture expression that transends the historical limitations. This study on the atrical "Ku. Alagirisamy's Manasum Kallum and the Portrayal of Myth" tries to explore the mythological elements with the modern social realities. Alagirisamy reinterprets the contempory human emotions with the gender roles, particularly the transformation of women from passive figures in epics to conscious, and questioning the individuals in modern society. The study also examines the patriarchal attitudes, domestic relationships, and women's awakening to self-awareness. The analysis reveals the way of myths act as the mirrors to expose moral, emotional, and psychological dimensions of human life. Furthermore, the article highlights the struggles of poverty, social injustice, and gender inequality, portraying women as victims of both cultural tradition and economic hardship.the study fount the article rich with realism and symbolic depth, advocate for women's education and social empowerment. Thus, this study demonstrates the narratives used by the author Alagirisamy in myth not merely as a literary device but as a means to challenge societal conventions and express human resilience.

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Mythology, Ku. Alagirisamy, Women's Empowerment, Gender Roles, Social Realism, Patriarchy, Self-awareness, Literary Symbolism, Modern Tamil Literature.

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India is one of the hazard prone countries in South Asia. Floods, droughts, landslides, snowstorms, hurricanes and cyclones occur regularly. Among these earthquakes, floods and drought risk are extremely high. These hazards threaten millions of lives and cause large scale financial, infrastructure, agriculture and productivity losses that seriously hinder India's overall development. In India, as in the United States, the primary responsibility for responding to disaster lies at the state and the central level. The Government of India have a national emergency plan for disaster management, some of the state also has a disaster management plan. It can be, and is called upon to assist when necessary, but there is a lack of awareness in the public. Many Indian States have limited resources and lack their own disaster management plans. Considering these problems, this paper attempts to throw light on a more integrated and responsive disaster management system in India.

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Disaster,Earthquake, Floods, Avalanche, Safety management.

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Mental health has become a growing global concern, with increasing cases of stress, depression, anxiety, and emotional instability among various age groups, especially students and working individuals. Traditional psychological assessment methods rely heavily on face-to-face counselling, which may not always be accessible, affordable, or stigma-free. To address this, Artificial Intelligence (AI) provides a promising approach to predict mental health conditions using behavioural, social, and physiological data patterns. The proposed review focuses on AI-based mental health prediction systems that utilize machine learning algorithms such as Random Forest, Support Vector Machine (SVM), and Neural Networks to analyze user responses, lifestyle patterns, and sentiment from text or speech. This system aims to identify early warning signs and categorize individuals into mental risk levels such as mild, moderate, or severe. By enabling early detection, such AI-based tools can support timely medical attention, personalized recommendations, and self-care strategies. The review highlights key research advancements, challenges, dataset availability, and method accuracy. It also discusses future opportunities for integrating AI with wearable devices, real-time monitoring, and telehealth counselling support.

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Mental Health, Artificial Intelligence, Machine Learning, Stress Prediction, Depression Detection, Behavioral Analysis

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