Volume 14 | Issue 2 |

 Abstract

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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 Keywords

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

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 Abstract

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 Keywords

alienation, modernity, otherness, literary criticism

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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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 Keywords

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

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 Abstract

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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 Keywords

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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 Abstract

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sustainable methods, standard safety testing

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Abstract Background: Tracheal suctioning is a vital nursing procedure performed to maintain airway patency in patients with respiratory compromise. Improper suctioning techniques may lead to complications such as hypoxia, infection, and mucosal trauma. Continuous education and structured teaching programmes help enhance nurses' knowledge and improve patient safety. Objective: To assess the effectiveness of a Structured Teaching Programme (STP) on knowledge regarding tracheal suctioning among staff nurses working in selected hospitals of Bikaner, Rajasthan. Methods: A quantitative pre-experimental one-group pretest-posttest research design was adopted. A total of 100 staff nurses were selected using non-probability convenient sampling. Knowledge was assessed using a structured questionnaire before and after implementation of the STP. Data were analyzed using descriptive and inferential statistics. Results: Post-test knowledge scores showed significant improvement compared to pre-test scores, indicating the effectiveness of the structured teaching programme. Statistical analysis demonstrated a significant difference (p < 0.05) between pre- and post-test knowledge levels. Conclusion: The structured teaching programme was effective in improving knowledge regarding tracheal suctioning among staff nurses. Regular in-service education is recommended to maintain competency and ensure safe nursing practice.

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Keywords: Structured teaching programme, tracheal suctioning, staff nurses, knowledge, nursing education.

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 Abstract

Human consciousness serves as a bridge between the physical and spiritual realms. Mental and spiritual states have a direct impact on the physical world and vice versa. The physical and spiritual realms have a complex relationship and constitute a complete, inseparable connection. Anything that we pass from one generation to next impact on our spiritual world. Clean and greener environment, that is free from deadly and dangerous microorganisms is our prime concern and responsibility. It's our moral duty to pass our natural heritage to our next generation in that way our previous generation hand-over to us. All of us want only to go ahead in life in any extent without thinking about our environment. Urbanization, modernization, deforestation, betterment in health facilities, settlement of life, experimentation upon flora and fauna, unnecessary habitat disturbance, nuclear weapons formation, greediness toward obtaining more and more from nature all these activities disbalance our ecosystem and push our environment in danger zone. As development proceed, all of us want better and better health care facilities, but at the same time during healthcare activities a massive amount of Biomedical waste (BMW) generated, which is one of the major cause of natural disturbance in present time all over the world. Bio-Medical wastes are the things used in hospitals like sharp needles, fluid blood, glass, plastic bottles, solid plastics, and anatomical waste, human body parts, bandages, and cotton, I.V Tubing, biotechnology and microbiology wastes, unborn fetus, placenta, dead bodies and many others. In our study town Siwan, Bihar there is no proper and scientific biomedical waste management system, which severely affect our environment. Daha River which runs along town side also severely affected by solid as well as liquid biomedical waste, because biomedical waste especially liquid biomedical waste having heavy chemicals, drugs and antibiotics drain in domestic drainage system without any scientific treatment which alter its water quality and affect aquatic life and all other activities which depend upon water like irrigation, local villagers' livelihood, bathing, animals water needs and so on. In this manner heavy chemicals, drugs and antibiotics enters into the food chain and upcoming future is in danger zone. And unfortunately, the rivers the divine source which is also an indication of purity as Hindu mythology get impure day by day due to unscientific and improper release of liquid biomedical waste.

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 Keywords

Keyword: Urbanization, Experimentation, Deforestation, BMW, Anatomical waste

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Abstract Background: Adolescents frequently experience psychological stress due to academic demands, peer relationships, and social pressures. Mindfulness-based relaxation training has emerged as an effective non-pharmacological approach to improve emotional regulation and reduce stress among adolescents. Aim: To assess the effectiveness of mindfulness-based relaxation training on stress levels among adolescents studying in selected senior secondary schools of Jhotwara, Jaipur, Rajasthan. Methods: A quasi-experimental control group pretest-posttest design was used. A total sample of 100 adolescents was selected using stratified random sampling and divided into experimental (n=50) and control (n=50) groups. Stress levels were assessed using a standardized perceived stress scale. The experimental group received mindfulness-based relaxation training for two weeks, while the control group received no intervention. Data were analyzed using descriptive statistics, independent t-test, and paired t-test. Results: The experimental group showed a significant reduction in mean stress score after intervention compared to the control group (p < 0.001). Conclusion: Mindfulness-based relaxation training was effective in reducing stress among adolescents and can be integrated into school mental health programmes.

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 Keywords

Keywords: Adolescents, Stress, Mindfulness, Relaxation Training, School Health, Quasi-Experimental Study

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