Volume 14 | Issue 2 |

 Abstract

Background: Prolonged smart device use among young adults has become increasingly common due to academic, social, and entertainment needs. Excessive screen time contributes to sedentary behaviour, which is a growing risk factor for cardiovascular diseases. College students often lack adequate awareness regarding the health consequences associated with physical inactivity and prolonged smart device exposure. Educational interventions such as handouts may serve as an effective strategy to enhance awareness and promote healthier lifestyle behaviours. Objectives: 1. To assess the baseline awareness regarding sedentary lifestyle and cardiovascular risk factors associated with prolonged smart device use among college students. 2. To evaluate the effectiveness of educational handouts on improving awareness levels. 3. To determine the association between awareness scores and selected demographic variables. Methods: A quantitative pre-experimental one-group pretest-posttest design was adopted. The study was conducted among college students at a selected urban college in Gandhinagar, Gujarat. Participants were selected using a convenient sampling technique. Baseline awareness was assessed using a structured knowledge questionnaire. Educational handouts explaining sedentary lifestyle risks, cardiovascular complications, and preventive strategies were distributed. Post-test assessment was conducted after the intervention to measure improvement in awareness. Data were analyzed using descriptive and inferential statistics. Results: The findings revealed that students had moderate awareness during the pretest. Post-intervention scores showed significant improvement in awareness levels, indicating the effectiveness of educational handouts. A significant association was observed between awareness scores and selected demographic variables such as daily smart device usage and physical activity levels. Conclusion: Educational handouts were found to be an effective, simple, and cost-effective strategy for improving awareness regarding sedentary lifestyle and cardiovascular risk factors among college students. Integrating awareness programs within college health promotion initiatives may help reduce long-term cardiovascular risk.

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 Keywords

Sedentary lifestyle, cardiovascular risk factors, smart device use, educational handouts, college students, awareness.

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D.H. Lawrence, the man of creative genius, who was often misunderstood and commonly criticized during his life time, had woven a neat and beautiful fabric out of numerous strands of novels, tales, poems, plays, travels and adventure books, literary, social and political essays. He left remarkable marks of his genius in each of these genres. He was hated as a black devil, disbelieved as a prophet and loved and valued as a man and writer. Now that it is more than ninety years since he died, can we not rid ourselves of the black devil and prophet and find the man and writer. Like a great artist Lawrence has turned his personal experiences into the perfect pieces of art. In early tales the conflict between Eastwood and London has been dramatized objectively. Lawrence's friendships and quarrel with Jessie Chambers and Louie Burrows gave rise to a number of stories like "A Modern Lover" and "The Shades of Spring" "England, My England" etc. In the later period Lawrence has transformed his experiences of friendship and fued with John Middleton Murry into beautiful stories like "Jimmy and the Desperate Woman", "The Border Line", "The Last Laugh" and "Smile". Although in these stories Murry has been cruelly ridiculed, it is the 'Murry-type which is Lawrence's satiric target. The biographical materials of the most immediate relevance to the genesis of these four stories are the events and feelings of Lawrence's brief visit to England and the continent in fall and winter of 1923-24.

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 Keywords

Fabric, Strands, Genres, Fued, Genesis, Ridiculed.

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The present study investigates the impact of virtual teaching on the psychomotor development of IX standard students studying Social Studies (Geography) at Government High School, Chikkabidarakallu, in Bengaluru Urban District. A total of 60 students from Grade IX were selected and equally divided into two groups: an experimental group (N=30), which received instruction through virtual teaching methods and a control group (N=30), which was taught using traditional classroom methods. The virtual teaching intervention incorporated tools such as Zoom and Google Meet for live sessions, multimedia presentations with visual aids and maps, interactive platforms like Kahoot, Quizizz, Canva and Flipgrid, as well as hands-on tasks like map drawing, labeling activities, group discussions and role plays. The study adopted a Randomized Matching Control Group Pre-test Post-test Design. To assess psychomotor development, the researcher developed and standardized a tool consisting of five practical tasks and its reliability was confirmed using the test-retest method. Data analysis using paired sample t-tests and independent sample t-tests showed that students in the virtual teaching group demonstrated significantly greater improvement in psychomotor skills compared to those in the traditional group. The findings suggest that virtual teaching methods effectively enhance not only content learning but also psychomotor abilities in Social Studies education. The study concludes that integrating virtual platforms and interactive digital tools into classroom instruction can foster improved engagement, understanding and skill development. Hence, educators are encouraged to adopt virtual teaching approaches to strengthen psychomotor outcomes in secondary school education.

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 Keywords

Impact, Virtual Teaching, Psychomotor Development, Social Studies, IX standard students.

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Creative Commons Attribution 4.0 and The Open Definition

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Keywords: Ventilator-associated pneumonia, structured teaching programme, staff nurses, infection prevention, nursing education.

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Individuals of all ages are impacted by vitamin deficit, which is a widespread global health crisis. Many people do not discover the disease until it is too late. Most traditional laboratory ways of diagnosing vitamin deficiency rely on tortuously long and costly blood testing. Additionally, they are not always available in low-resource environments. A Hybrid Fusion Algorithm Vitamin Deficiency Detection System (VDDS) is proposed as a solution to the above-mentioned limitations. The system integrates characteristics from medical imaging analysis with clinical and demographic data to increase its accuracy and reliability. In the medical imaging analysis component, input images undergo preprocessing to improve the quality of the images and reduce noise. Convolutional neural network algorithms are then used to extract key features for a machine-learning application from each image.

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 Keywords

Vitamin Deficiency Detection, Hybrid Fusion Algorithm, Convolutional Neural Network (CNN), Medical Image Processing, Clinical Data Analysis, Automated Healthcare Diagnosis

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A comprehensive floristic survey was conducted in the VKL region of Tamil Nadu, India, to document plant diversity and analyze taxonomic composition. A total of 200 angiosperm species belonging to 32 families were recorded following systematic field surveys and taxonomic identification using standard floras. The dominant family was Fabaceae, followed by Malvaceae, Euphorbiaceae, and Asteraceae. Dicots constituted the majority of species (?87.5%), while monocots accounted for ?12.5%. Several economically important, medicinal, and invasive species were identified, indicating both ecological richness and anthropogenic influence. The presence of invasive taxa such as Parthenium hysterophorus and Lantana camara highlights the need for biodiversity management strategies. The study provides baseline floristic data essential for conservation planning and ecological monitoring of the region.

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Floristic diversity, Angiosperms, Taxonomic analysis, Invasive species, Tamil Nadu, Biodiversity assessment

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alienation, modernity, otherness, literary criticism

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Creative Commons Attribution 4.0 and The Open Definition

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Dhemsa dance forms an energetic and permanent element of the culture of the tribal groups of southern Odisha and, more specifically, of the Koraput area. While extant scholarship often characterizes Dhemsa as a communal performance of tribal nature, it does not sufficiently explore the central role of women in preserving its ritualistic, social, and cultural relevance. This study examines the role of tribal women in Dhemsa dance in terms of the role of the dance as a medium of ritual practice, community bonding, and identity construction. Employing qualitative methods--including ethnographic observation, semi-structured interviews, and a secondary literature analysis--the paper examines the role of women as performers, as transmitters of tradition, and as custodians of cultural memory. The paper argues that Dhemsa is not simply a performative art form, but it is a lived cultural practice through which tribal women exercise their agency, reinforce social cohesion, and ensure intergenerational continuity of indigenous knowledge. Through a foregrounding of the participation of women, the paper is a contribution to wider discourse on the topics of gender, culture, and tribal identity in contemporary India.

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Dhemsa Dance; Tribal Women; Ritual and Culture; Gender and Identity; Indigenous Traditions; Odisha

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Digital Twin of Healthcare is a web-based Hospital Management System that helps hospitals manage daily tasks like patient registration, appointment booking, prescriptions, and doctor schedules more efficiently. Many hospitals still do these tasks manually, causing paperwork, errors, and long wait times. This system saves time by securely storing all data in a centralized database, improving communication between doctors and patients. It provides separate access for Admins, Doctors, and Patients through secure logins. Patients can book OPD appointments online and access their reports and prescriptions easily. Doctors can manage their schedules and create digital prescriptions. The system also supports IPD management, vaccination records, and billing. Overall, it reduces manual work and enhances hospital efficiency and patient care.

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Digital Twin of Healthcare System: User Login, IPD/OPD Management, Doctor Profile Management, Appointment Management, AI-Based Doctor Recommendation System, Slot Management, Vaccination, Prescription Management, Patient Specific Chatbot, IPD Billing Management.

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Diabetic Retinopathy, Glaucoma, Cataract, and Age-related Macular Degeneration (AMD) are retinal disorders that cause blindness and irreversible cases of vision impairment in the world. The early detection of a disease is very important to avoid the final loss of the vision permanently, but the traditional methods of screening are time-consuming and require the skill of the specialist. A retinal fundus image analysis framework in the form of an automated multi-disease eye classification framework that employs deep learning is introduced. The system is developed in Python 3.10 and relies on the EfficientNetB0 Convolutional Neural Network architecture to find the optimal balance between the computational performance and the ability to represent the features. ODIR-5K correlates with eight ocular disease types which are used as model training. Image processing involves resizing of images, data normalization, and data augmentation, which involves rotation, zooming, and horizontal flipping of images to improve generalization. Class imbalance is dealt with the help of customized approach to class weighting. The Adam optimizer is used to train the model to ensure that 30 epochs are completed with a Binary Cross-Entropy loss. The performance evaluation shows a high level of accuracy, precision, recall and F1-score in various classes of diseases. Flask-based web app allows the real-time upload of images, prediction of the disease with the confidence probability, and the creation of PDF diagnosis reports that can be downloaded. Results of experiments confirm efficiency and high level of practical implementation in terms of large scale ophthalmic screening and computer aided clinical decision support systems.

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 Keywords

Deep Learning, Convolutional Neural Network, EfficientNetB0, Retinal Fundus Imaging, Multi-Disease Classification, Diabetic Retinopathy, Glaucoma Detection.

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