Volume 13 | Issue 6 |

 Abstract

Background: birth of a healthy newborn baby is one of the greatest gifts of nature. After birth, the newborns undergo many changes. Majority of the newborns handle the transition well, between 5%-10% of all babies born need some degree of resuscitation. Approximately 3%-6% require basic neonatal resuscitation, consisting simple initial steps and assisted ventilation. As newborn resuscitation is a key component of effort to reduce neonatal mortality occurring due to birth asphyxia, the nursing students as future nurses should possess knowledge and skills to overcome the barriers of providing newborn resuscitation. Objective: to evaluate the effectiveness of demonstration on skills regarding bag and mask ventilation in neonates among gnm nursing students. Methodology: an observation checklist regarding bag and mask ventilation given by who was used for data collection with the help of demonstration method. A pre- experimental study one group pretest post test design was used. Pre and post-test data was collected conveniently selected 40 nursing students of gnm nursing 3rd year from index nursing college, indore (mp). Results: findings of the study revealed that majority of the nursing students (70.8%) were females and majority of nursing students (90.2%) had previous knowledge regarding bag and mask ventilation in neonates but majority of nursing students(79.16%) had not performed bag and mask ventilation during their clinical experience. The mean post-test skill score (12.7) was higher than the mean pre-test skill score (2.2). And the computed paired t test value (t 39 21 p> 0.05) is more than the tabulated value ( t39= 4.78, p < 0.05) shows that there was a significant difference between pre-test and post-test skill score.it was therefore dismissed the null hypothesis and accept the research hypothesis. Study was effective.the skills of nursing students were significantly associated with previous knowledge ( = 8.35) and Number of ventilations performed previously ( =9.53). Conclusion: the study concludes that demonstration regarding bag and mask ventilation was effectiveness. Very effective in improving the skills of nursing students regarding bag and mask ventilation in neonates.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Effectiveness, Bag and Mask ventilation in neonates, Skills, Demonstration, GNM.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Today's literacy combined with new technical developments has led to the proliferation of technology in education since technology plays a far bigger role in the digital age than it did for earlier generations. Today's millennial and Gen classrooms have distinct traits in that they want students to be actively involved in their education and struggle with passive learning. As a result, pupils' education nowadays must incorporate technology. This essay examines the various student generations that educators are currently working with and how they have influenced the evolution of education in the digital age. The importance of revamping and reimagining education in the digital age is also covered in this article, along with some of modern technology and the transition to create new teaching and learning methods. This page provides information about digital education and its elements, as well as new developments in the field, its achievements, and tools that may be utilised to enhance the richness and usability of digital learning environments.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

digital technology, education, and technology

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In this technological world everyone is suffering from frustration. It is becoming a serious problem in the society. Many people are suffering from this problem. This study was conducted to find out the relation between frustration level and school environment and to find the difference in frustration level with respect to gender, school and locality on the sample of 200 secondary school students of district Gurdaspur state Punjab. Descriptive survey research method and Frustration scale by Dr. N.S. Chauhan and Dr. Govind Tiwari and self- prepared School Environment questionnaire was used for data collection. Mean, SD and t-test were applied for data analysis. The findings of the study showed a significant and negative correlation between Frustration and School Environment. No significant difference was in frustration level of boys and girls who were studying in secondary schools. It showed that both boys and girls students have equal frustration level. Significant difference was found in frustration level of secondary school students of government and private schools. Private school students have more frustration level as compare to government school students. There is a significant difference in Frustration level of secondary school students belonging to rural and urban areas. Urban area students were facing more frustration than the rural area students. This study would be useful for parents, teachers, school administration and policy makers.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Frustration, school environment, secondary school students etc.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Folk songs are a natural creative musical expression of the folks, composed by them to depict their lives and emotions. Thus, folk songs generally reflect the life, experiences and sentiment of the people of a society. The folk songs of the Mech society of the northern part of the state of West Bengal are no different as they too are bound to the lives, experiences and philosophy of the folks of the Mech tribe residing in this region. Among the Meches singing and dancing is an activity that accompanies many of the rituals and on special occasions guests are also welcomed with songs and dances. But of late this community is facing a gradual cultural loss due to modernization, competition and external influences. So the practices that once involved the singing and performing of 'Demshi methai' has now been lost and forgotten by the people. This paper thus, attempts to relook at this forgotten practice particularly through the study of 'Demshi methai' and tries to study the reflection of the life and humour of the Mech people and their society in these songs.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Folk song, Mech, Bodo, Demshi methai, Daobo Khela

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Disaster is such a word which is cannot be acceptable and welcomed for any age and any race. It is always lead to an unpredictable situation. There are so many causes which may lead to disaster. It is a harmful act of nature caused by living being or it may happen by non-living object. There are evidences where discussions are made by the ancient seers on some of the disasters with its management system which has been recognized at the time of Vedic people. But it was not technical based as well as systematic at that time. Later on at the time of Kautilya the discussion on disaster and its management becomes more organized than the time of Vedic India. In this present paper a modest attempt has been made to highlight the causes and solutions found in Vedic literature with special reference to Kautilya's Arthashastra.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Vedic literature, Arthashastra, Disaster, nature, management

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Depression and anxiety and stress are the most common disorders that can be present in breast cancer patients through their illness from diagnosis to the end of the disease and Quality of Life (QOL) is impaired through their course of diagnosis, staging, and treatments consequences which may result in physiological effect of cancer. METHODOLOGY: A Quasi experimental design with 60 breast cancer patients were non-randomly selected by purposive sampling method and divided into experimental and control groups, 30 participants in each group. The study was conducted in the tertiary care hospital in selected area and the data were collected using a Depression Anxiety Stress Scale 21 (DASS21) questionnaire. In experimental group, the researcher assessed the level of depression, anxiety, stress in the pre-test and Onco-mental health programme was given to the breast cancer patients daily for about 40-45mins for 4 weeks and the post-test assessment was done using the same questionnaire, and in control group pre-test and post-test was collected using the same tool without any intervention. The collected data were analyzed using descriptive and inferential statistics

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Onco-mental health programme, breast cancer, psychosocial problems

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Vulvo Vaginal Candidiasis, Candida albicans, herbal suppositories, Allium sativum, antifungal activity, phytotherapy, formulation optimization

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Agriculture is a primary occupation in India, and it loses 35% of its productivity due to plant diseases. Plants play a crucial role in the agriculture sector, exerting a profound influence on a nation's economy and environmental equilibrium. Similar to human health, plants can be affected by diseases caused by pathogens like viruses and bacteria. Effective plant care necessitates diligent observation, accurate disease identification, and appropriate management strategies. Early detection and prevention techniques for plant diseases are highly beneficial to recover plants quickly and maintain their productivity. Currently, the methods employed for identifying plant diseases involve either human-based or lab-based techniques. This research paper presents an artificial intelligence (AI) model that identifies plant diseases, provides an explanation of the detected disease, and suggests appropriate recommendations. The project "AI-based Plant Disease Detection and Recommendation using Deep Learning" is to improve agricultural output by offering an effective method for detecting plant diseases and actionable recommendations. This platform offers two main modules aimed at enhancing productivity and sustainability. Plant Disease Detection Module: Diseases in crops often go unnoticed until they cause significant damage, leading to reduced yields and financial losses. The "AI-based Plant Disease Detection and Recommendation using Deep Learning" platform introduced a plant disease prediction tool that addresses this issue. Farmers can upload images of their crops to the platform, which uses advanced machine learning algorithms to analyze the images and detect potential diseases. Recommendation Module: The Recommendation engine will take the input from the Plant Disease Detection Module, analyze the class of the disease, and suggest the practical, actionable recommendations for prevention and treatment, helping farmers protect their crops and avoid further losses. This platform is developed using Python for backend processing, Flask as the web framework, and HTML, CSS, and JavaScript for the frontend. This system leverages state-of-the-art deep learning techniques to detect and classify plant diseases with high accuracy using plant leaves. InceptionV3 and MobileNetV2 are two distinct deep learning architectures employed for image classification and object detection tasks. InceptionV3 is for its high accuracy, while MobileNetV2 is for its efficiency and suitability for resource-constrained environments like mobile devices. InceptionV3 achieved a training accuracy of 93.88% and validation accuracy of 90.05%, while MobileNetV2 outperformed with a training accuracy of 98.30% and validation accuracy of 94.38%. The dataset includes 70,000 images covering 14 plants, including apple, blueberry, cherry, corn (maize), grape, orange, peach, pepper, potato, raspberry, soybean, squash, strawberry, and tomato, and classified into 38 distinct classes, including both healthy and diseased categories. This project is a highly valuable contribution to farmers and agricultural users for an efficient, user-friendly, and comprehensive tool for plant disease management, thereby encouraging sustainable farming practices.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Artificial Intelligence, Machine Learning, Deep Learning, Convolutional Neural Network (CNN), Plant Disease Detection, Fertilizer Recommendation

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The ability to reconstruct fingerprints is an important element in biometric security systems, as well as forensic investigations. The purpose of this research is to study whether a convolutional autoencoder, modelled off a U-net architecture, could be used to reconstruct fingerprints from quality degraded or incomplete fingerprints. The model was also trained with pre-processing of a publicly available fingerprint dataset to convert the data to greyscale, resize them to uniform dimensions and normalize them. The model implemented a hybrid loss of Mean Squared Error (MSE) and Structural Similarity Index Measure (SSIM) loss to promote an accurate pixel match as well as structural similarity. Reconstruction results showed some promise in reconstructing core ridge structures of a fingerprint and highlighted the potential for digitized images of convolutional autoencoders to reconstruct and apply to fingerprint image reconstruction tasks.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Convolutional autoencoders, U-Net, biometric security, deep learning, image restoration, SSIM, MSE, pattern recognition, and fingerprint reconstruction

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

End-stage renal disease (ESRD) is the terminal stage of chronic kidney disease, requiring dialysis or kidney transplantation for survival. In India, rising rates of diabetes and hypertension, along with limited access to care, have made ESRD a growing public health challenge. While modern medicine remains the primary treatment approach through renal replacement therapies and supportive care, alternative systems like homeopathy are gaining interest. Homeopathy, with its individualized, symptom-focused approach, aims to relieve ESRD symptoms such as fatigue, edema, and nausea, and support overall well-being. Emerging evidence and case reports suggest homeopathy may complement conventional care, particularly in improving quality of life and symptom management.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

ESRD, CKD, homoeopathy, CKI

  License

Creative Commons Attribution 4.0 and The Open Definition