Volume 12 | Issue 3 |

 Abstract

A Quasi experimental one group pre-test post-test study was conducted to assess the effectiveness of video assisted teaching regarding Good touch and Bad touch among pre puberty age students in a selected school of Guwahati, Assam. The objectives of the study were to assess the pre - test knowledge score regarding "Good touch and Bad touch" among pre pubertal age students in a selected school of Guwahati Assam, to assess the post test knowledge score regarding "Good touch and Bad touch" among pre pubertal age students in a selected school of Guwahati Assam, to evaluate the effectiveness of video assisted teaching regarding "Good touch and Bad touch" among pre pubertal age students in a selected school of Guwahati Assam, to find out the association of the knowledge of Good touch and Bad touch among the pre pubertal age students with the selected demographic variables such as age, gender, religion, class, type of family. The children who were studying in class 3, and 4 who were selected by proportionate random sampling technique. Total 68 samples were selected. Self structured questionnaire were used to collect the data and analyzed according to the objectives of the study. Using both descriptive and inferential statistics the findings shows that out of 68 majority of the students, 37(63.79%) students fall under the age group of <7years,36 (52.94%) students are female,48 (70.58%) students are Hindu,25 (36.76%) students have nuclear family, and 40 (58.82 %) are from class 3. The study reveals that the Pre test knowledge score is found that out 68 students majority i.e 44 (64.70%) students had inadequate knowledge, 14 (17.41%) students had adequate knowledge and 10 (14.70%) students had moderately adequate knowledge regarding Good Touch and Bad Touch with overall M = 11.63 and SD = 1.5 and the Post test knowledge score shows that out of 68 students 32 (47.05%) students had adequate knowledge and 22 (32.35%) students had moderately adequate knowledge and 14 (20.58%) students had inadequate knowledge regarding Good touch and Bad touch after video assisted teaching with overall M=13.62 and SD = 1.89. The comparison between pre test score and post test score shows that there was significant difference between pre test (M = 11.63, SD = 1.5) score and post test (M = 12.62, SD = 1.89) score with a mean difference of 1.99 and Paired t test score is 6.55 and df = 67.Hence the Video assisted teaching programme has improved the knowledge regarding Good touch and Bad touch among pre puberty age students. In association we found that there is significant association between the pre test knowledge with religion, and there is no significant difference between pre test knowledge with age, gender, types of family and class.

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 Keywords

effectiveness, video assisted teaching , good touch, bad touch, pre pubertal age

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Idiopathic pulmonary fibrosis (IPF) is a common and deadly fibrotic lung disease with a median survival time of 2 to 3 years. It is characterized by chronic, progressive fibrosis that worsens over time and is linked to high mortality, progressive respiratory failure, and loss of lung function. Diagnosing IPF requires clinicians to integrate clinical, laboratory, radiologic, and pathologic data. Epidemiologically, IPF primarily affects older adults, with prevalence increasing with age, especially in those over 60. Gender and race differences exist, and risk factors include smoking, environmental exposures, and genetics. IPF is often associated with comorbidities, and its prognosis varies, with a median survival of 3 to 5 years. Early detection of pulmonary fibrosis is crucial for better outcomes, relying on clinical history, physical examination, pulmonary function tests, imaging, biomarkers, and, in some cases, genetic testing. Early intervention may slow disease progression. Currently, no established therapy exists for IPF, but new approaches aim to minimize acute lung injury consequences. Medications such as azathioprine and cyclophosphamide, and interventions like lung transplantation, have been explored with varying success. IPF poses a significant threat to society, necessitating ongoing research efforts for effective therapeutic targets. Understanding the molecular mechanisms underlying IPF development is crucial for future investigations and the development of successful treatments.

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 Keywords

Pulmonary Fibrosis, Diagnosis, Treatment, Idiopathic, Pathogenesis

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 Abstract

JANPAD PILIBHIT KE KASHTURBA GANDHI AVASHIY VIDHYALAY AVM PARISHADIY UCCH PRATHMIK VIDHYALYO ME UDHYAPANRAT BALIKAO KI SAIKSHIK UPLABDHI KA ADHYAYAN

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JANPAD PILIBHIT KE KASHTURBA GANDHI AVASHIY VIDHYALAY AVM PARISHADIY UCCH PRATHMIK VIDHYALYO ME UDHYAPANRAT BALIKAO KI SAIKSHIK UPLABDHI KA ADHYAYAN

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Ensuring the integrity and security of electoral processes is paramount in democratic societies. Current Electronic Voting Machines (EVMs) have become prevalent in modern elections due to their efficiency and reliability. However, they still face challenges such as identity verification and security threats. This project proposes the development of an Electronic Voting System (EVS) integrated with facial recognition technology to address these issues. The EVS aims to enhance the existing EVM by providing a more secure, efficient, and accessible platform for voters. Leveraging facial recognition and iris detection technology, voters can authenticate their identity seamlessly and securely, mitigating impersonation and unauthorized access concerns. Furthermore, the EVS offers convenience to voters by eliminating the need for EVMs and reducing waiting times at polling stations.

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 Keywords

Electronic Voting Machines, Facial Recognition, Electronic Voting System with Face Recognition.

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Creative Commons Attribution 4.0 and The Open Definition

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Wheelchair and stretchers are commonly used in hospitals. And this medical equipment is used for transferring patients from one place to another. During transferring patients, it creates problems to patients and also creates problems for attendant and nurse. Sometimes it creates problems to patient while transferring patient from wheelchair to stretcher, stretcher to bed and bed to wheelchair is always issue for both hospital staff and family members of patient. This system causes stress, body pain to patients and sometimes chances to sleep down the patient. Understanding the various issues regarding the mobility equipment a better design will be an asset for medical field and helpful for disabled person. This paper presents the various design and fabrication of wheelchair cum stretcher and aims to explore design for patient to transfer patient from bed to wheelchair and wheelchair to stretcher. This innovation helps medical staff to transfer patient from chair to bed very easily because chair become a stretcher and it is adjustable to height of bed. Conversion of wheelchair to stretcher and vice versa is achieved by simple linkage mechanism which can be manually or automatically operated mechanism.

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 Keywords

propulsion, CAD, strecher

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Creative Commons Attribution 4.0 and The Open Definition

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Artificial intelligence (AI) has come a long way from philosophical musings to a reality transforming our world. Its emergence can be traced through history, with advancements in computing power and algorithms fueling its growth. This abstract explores various aspects of AI: o History and Evolution: We'll delve into the early ideas of AI and its development over time, highlighting key breakthroughs in machine learning and neural networks. o Impact on Society: The focus then shifts to how AI is influencing our lives, from revolutionizing industries to prompting ethical questions about data privacy and automation. o The Future of AI: We'll explore what the future holds for AI, considering its potential to address global challenges and the need for responsible development. Artificial intelligence (AI) has come a long way since its theoretical beginnings in the mid20th century. From the pursuit of replicating human thought processes to the current focus on machine learning and deep learning algorithms, AI is rapidly transforming our world. This emergence of AI presents a multifaceted picture, brimming with both opportunities and challenges. On the positive side, AI holds immense potential for progress across various sectors. It can revolutionize industries through automation, enhance scientific discovery with its analytical prowess, and improve our quality of life through personalized services and intelligent machines. This abstract provides a glimpse into the multifaceted world of AI, highlighting its historical roots, societal influence, and its exciting, yet thought-provoking, future

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#AI #ArtificialIntelligence #EmergenceofAI

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 Abstract

Marathi Abhilekhon Me Rampura

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Marathi Abhilekhon Me Rampura

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'Lakshmi' is much sought after in Hindu mythology. Devas, Asuras. Rakshash, Yakshas all need and vie for them. Rakshashas usurp wealth. Yakshas too forcefully seize and hoard wealth. Asuras who live in 'patal' believe that Lakshmi rightfully belongs to them and is therefore in perpetual war with the Devas who enjoy prosperity in 'Swarg'. The monastic order on the other hand shuns wealth and is therefore conspicuous by the absence of the role of women. Wisdom however is all about appreciating and not denying wealth. In the Puranas, it is said Vishnu always attracts wealth. That is why his abode, Vaikuntha, is the land of happiness. It's a playground or 'ranga-bhoomi'. Pattanaik contrasts this with Swarga, the paradise of Indra, king of the devas, who is constantly fighting Asuras. His abode is 'rana-bhoomi' or battleground as he chases Lakshmi and tries to prevent the Asuras from taking her away. Rich companies phenomenally successful are all under siege constantly battling workers, courts, regulators, struggling to get land from villagers and licenses from the government. They don't attract investments, the absence of Vaikuntha. But they are constantly fighting starvation despite bumper harvests; we are 'Swarga'. Menaka and Mohini are same in appearance. But while Menaka seeks to entrap the sage, Mohini seeks to enlighten the sage. In a society that wanted all men to have wives, women's freedom had to be curtailed. Laws had to be created so that she did not leave her husband for a better or more desirable man. Chastity of women served to allay male anxiety over their incompetence and inadequacy. This paper looks at the myth making of women that justifies the troubled relationship between the entrepreneur and the enterprise thus paving the way for social inequality in India.

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 Keywords

wealth, alakshmi, vaikuntha, rangabhoomi,ranabhoomi,appropriation, appreciation

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Creative Commons Attribution 4.0 and The Open Definition

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Abstract: Graph pattern mining is a vital research field. It includes the identification of interaction flows between compounds found in chemicals or genes. This is attained by representing these compounds as graph interactions, allowing researchers to evaluate and recognize complex relationships and patterns. Graph-based representations provide researchers with a powerful tool to uncover valuable insights and make informed decisions in various fields. Extracting the interaction flow from these graphs is a very challenging task. Data mining technique such as Clustering is used to groups graph nodes with significant communication to discover the graphical interaction flow. To address this, we propose the Irrelevant Feature-aware NMF Clustering Method (IF-NMFCM) for clustering graph nodes. This technique focuses on eliminating irrelevant features to improve clustering accuracy while reducing associated dataset complexities. It incorporates principal component analysis for data pre-processing and utilizes the Particle Swarm Optimization (PSO) method for feature selection, ensuring the exclusion of irrelevant features. By adopting this technique, we obtain an optimal feature set that enhances clustering accuracy. Finally, pre-processed data is represented as a graph and then clustered using the hierarchical NMF clustering method. Our proposed research work establishes superior results in terms of improved accuracy rate than the existing approaches. The research work is implemented in MATLAB simulation environment for comprehensive analysis.

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 Keywords

Graph Mining, Clustering, Preprocessing, Classification, IF-NMFCM, NMF

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 Abstract

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