Volume 13 | Issue 7 |

 Abstract

Background: Cervical cancer is one of the most preventable cancers with early detection and timely intervention for regular screening of women above 30 and HPV vaccination for young girls. Despite preventive measures cervical cancer remains a significant health issue in urban slums where awareness is low and access to healthcare is limited. Given these challenges the aim of the study is to assess the knowledge, attitude and practices of women living in urban slums regarding cervical cancer, its screening and vaccination. Methods: Community based cross-sectional survey was conducted among 384 participants in urban slums (Madanpur Khadar and Khanpur). Data was collected using self -administered, semi -structured anonymous questionnaire. The data was coded into MS excel and then imported for data analysis in Statistical Package for Social Sciences (SPSS) version 27 software. Descriptive Statistics were expressed as percentage and frequency. Chi square and Fisher Freeman Halton Exact Test was used to find out the associations among variables. A significant level was set at 0.05. Results: 86 % of the participants demonstrated "poor knowledge", 14 % showed "good knowledge" however none of the participants demonstrated high level of knowledge. Nearly 95 % of the participants showed "favourable attitude" towards cervical cancer screening and HPV vaccination while only 5% of the participants demonstrated "unfavourable attitude". The analysis revealed that 173 (45%) respondents fall into "inadequate practice" in contrast 211 (55) respondents exhibit "adequate practice". The analysis also revealed no statistically significant association between age and knowledge, with (p value- 0.748), Similarly, no significant associations were found between education and knowledge (p value- 0.547) or marital status and knowledge (p value- 0.412). Additionally, the relationships between attitude and age (p value- 0.151), attitude and education (p value- 0.916), marital status and attitude, as well as attitude and occupation, were not statistically significant. Furthermore, practice showed no significant associations with age (p value- 0.799), education (p value- 0.316), marital status (p value- 0.547), or occupation (p value- 0.767). The only statistically significant association identified was between knowledge and occupation, with (p value- 0.047). Conclusion: By leveraging the existing positive attitude and access to accurate information, it is possible to enhance the participation in cervical cancer screening and vaccination. This approach will ultimately contribute to better health outcomes and ultimately bridge the gap in cervical cancer prevention among undeserved population

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 Keywords

Cervical cancer, HPV vaccination, pap smear

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The classical Ayurvedic framework identifies the human body as governed by three fundamental elements: Dosha, Dhatu, and Mala, with Doshas playing a critical role in maintaining physiological balance and health. Among the Doshas, Vata holds a pivotal position due to its extensive regulatory functions over bodily systems and its influence on Pitta and Kapha. This article explores the five subtypes of Vata; Pra?a, Udana, Samana, Vyana, and Apana. highlighting their specific anatomical locations (sthana), functions (karma), causative factors (nidana), and signs of imbalance (du??i lak?a?a) as described in the Ayurvedic Brihatrayi (Charaka Samhita, Sushruta Samhita, and Ashtanga Hridaya). The dynamic and multifaceted nature of Vata is emphasized, illustrating its fundamental role in vital processes such as respiration, circulation, digestion, excretion, and neurological coordination. The article further discusses how disturbances in these subtypes lead to a variety of disease conditions, underscoring the importance of preserving Vata equilibrium for health maintenance. A comprehensive understanding of Pancha Vata is essential for accurate diagnosis and effective management of Vata-related disorders, forming the cornerstone of Ayurvedic preventive and therapeutic approaches. This study reinforces the significance of maintaining Dosha balance within Ayurvedic practice to ensure overall wellbeing.

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 Keywords

Dosha, Vata, Prana, Udana, Vyana, Samana, Apana.

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This ethnographic study explores the health beliefs, ideas, and practices surrounding illness within Kalinagar Village, located in the Hailakandi District of Assam, India. Focusing on two distinct Muslim communities--Ashraf (high social status) and Mahimal (fisherman, lower social status)--the research examines the cultural and religious perspectives that shape health-seeking behaviors. The study reveals that villagers perceive health as a divine blessing (Amanat) from Allah and illness as a test or a consequence of one's actions. Health practices, including preventive measures and treatment-seeking behaviors, are deeply intertwined with religious beliefs, with a strong emphasis on the teachings of Islam. Participants view modern medical treatment as a means to seek Allah's healing while maintaining that ultimate healing comes from Allah alone. The research employs participant observation, in-depth interviews, and focus group discussions to gather insights from both the villagers and local healers. The findings contribute to understanding how health is conceptualized within a Muslim rural community and highlight the complex interplay between religious, cultural, and socio-economic factors that influence health decisions. This study emphasizes the importance of culturally sensitive healthcare interventions to effectively address the needs of similar communities.

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health, illness, ethnographic study, Muslim communities, health-seeking behavior, religious beliefs, socio-cultural influences.

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Patanjali Yoga Sadhana in Indian Knowledge Tradition

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Patanjali Yoga Sadhana in Indian Knowledge Tradition

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Machine Learning (ML) has emerged as a transformative force in data science, offering powerful tools for exploring vast datasets and enabling autonomous, real-time decision-making. This research explores the integral role of ML in data management, focusing on its ability to generate forecasts and drive intelligent actions without human intervention. The study presents a critical review of widely adopted ML frameworks, discussing key elements such as algorithm design, model selection, and pipeline development. It also identifies potential misconceptions arising from neglecting the reasoning component of ML, advocating for a more holistic approach to understanding and applying these technologies.

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Algorithms, Components, Development, Intelligent Actions, Model Assessment, Pipeline Development, Real-Time, Reasoning, Suggested Frameworks.

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Romantic betrayal is a critical relational stressor that produces long-lasting psychological and behavioral consequences in subsequent partnerships. This paper examines gender-specific coping strategies and their implications for future relationships, focusing on how men and women respond differently to betrayal trauma. Drawing from evolutionary psychology, attachment theory, and betrayal trauma theory, the review synthesizes evidence from empirical studies highlighting men's tendency toward punitive, control-oriented, and avoidance behaviors versus women's inclination toward relational repair, emotional overinvestment, and compliance. Findings reveal that men often externalize distress through aggression, dominance, and casual sexual encounters, while women internalize it through self-blame, hyper-commitment, and excessive nurturing behaviors. These divergent strategies are rooted in distinct evolutionary pressures--paternity certainty for men and resource security for women--and shaped by cultural gender norms. Although these coping patterns may offer short-term adaptation, they frequently perpetuate maladaptive relational cycles, increasing the risk of future dissatisfaction, trust deficits, and partner victimization. The review concludes by addressing the need for therapeutic interventions that promote balanced emotional regulation, secure attachment restoration, and gender-sensitive approaches to post-betrayal recovery.

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Romantic Betrayal, Gender Differences, Coping Strategies, Trust Restoration, Future Relationships, Betrayal Trauma, Emotional Regulation, Evolutionary Psychology

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Over the past few decades, simulation has become more widely used in the medical field. It has developed into an active and perceptive pedagogy via the evolution of its various forms. In many training programs, including those in nursing, obstetrics, emergency medicine, anesthesia, neonatal care, and mental health, it is a common teaching method. It is an effective level for raising patient safety and care quality. Teachers can bridge the gap between theory and clinical placements by combining a variety of simulation types and their diverse applications with more conventional teaching techniques. It takes a great deal of expertise to incorporate these cutting-edge resources into instructional strategies. Several research indicate that in order to produce a convincing articulation between knowledge and procedures, this implementation translates into new instructional requirements. Through immersion, reflection, feedback, and practice across the Pre-brief, Simulation scenario, and Debrief phases, simulation supports learning. Prior to performing a simulation session, the facilitator should make sure that all prerequisites have been met. With this approach, students can learn at their own pace, freely make mistakes, and practice their clinical skills frequently until they feel proficient. Clinical procedures are replicated in a secure setting through this instructional process. Nursing students that participate in simulation-based learning programs are able to improve their critical thinking and clinical decision-making abilities while making fewer medical errors in clinical situations.

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Simulation, Simulation Scenario, Simulation in Nursing

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: Pediatric healthcare stands a combination of innovation and compassion, striving to provide the best possible care for the youngest members of our society. Over the past few years, the advent of expert system has sparked a radical transformation in various medical domains, offering promising avenues for improving diagnostic accuracy, treatment efficacy, and clinical consequences. This research investigates the multifaceted role of artificial intelligence in pediatric healthcare, focusing on its applications in diagnosis and treatment. By using enormous volumes of data and employing advanced algorithms, AI has the ability to revolutionize pediatric medicine, enabling earlier identification of ailments, personalized treatment plans, and optimized healthcare delivery. However, integrating AI into pediatric practice necessitates meticulous evaluation of moral, regulatory, and practical challenges to ensure its safe and equitable implementation. Through a comprehensive analysis of current research, this paper illuminates the Possibilities and limitations associated with AI adoption in pediatric healthcare, paving the method by which future advancements that prioritize the well-being of children worldwide.

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Pediatric healthcare, Artificial Intelligence, Diagnostic accuracy, Effectiveness of treatment.

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In the current digitally-first world, e-commerce and Software-as-a-Service (SaaS) applications are prime targets for sophisticated cyber attacks. The STRIDE model provides a formal method of determining and countering threats like Spoofing, Tampering, Repudiation, Information Disclosure, Denial of Service, and Elevation of Privileges. This article investigates the real-world deployment of STRIDE-based threat modelling in e-commerce and SaaS platforms through case studies and experimental results to prove its effectiveness. Leverage Data Flow Diagrams (DFDs) and risk prioritization techniques coupled with AI-enhanced tools such as STRIDE-GPT to analyse threat coverage, successful mitigation, and changing attack vectors. The research also emphasizes how new technologies like AI, IoT, and big data analytics are transforming security practices in such sectors, providing promising avenues towards automated and proactive threat modelling.

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STRIDE Threat Modelling, E-commerce Cybersecurity, SaaS Security, AI and LLM-based Threat Analysis, IoT Security

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The COVID-19 has massive impact on the people lives and habits, since it first outbreak in early 2020 in India. The Educational institutes across the country have been closed due to the COVID-19 pandemic disturbing the academic calendar of every institute. By the End of March'20, most educational institutes have shifted to online learning platforms to keep the academic activities going. However, for the developing country like India, E-learning poses a serious challenge due to digital constraints like availability of smart devices, internet connectivity issues like speed, bandwidth in remote areas. In this study, we focus on understanding the technical challenges faced by rural and urban students and their preference towards the online learning during COVID -19 pandemic. We conducted an online survey of students from various locale and explored their inclination for online classes. This survey will be helpful in designing the effective online learning education for one and all. The result indicated that online learning was good in the middle of pandemic but also spotted the light on the availability of internet access, smart devices and financial issues. Majority of the respondents are ready to opt for virtual classrooms to cope up with curriculum during this pandemic. The study also show that majority of the students have access to internet and smart devices for e-learning but for rural areas without broadband connectivity, it is still a tough challenge for students to make use of online classroom initiatives.

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digital constraints ,virtual classroom, broadband Connectivity, Pandemic

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Creative Commons Attribution 4.0 and The Open Definition