Volume 13 | Issue 4 |

 Abstract

This study has been done to study the impact of integrated education of arts in Hindi and Hindi subjects in council primary schools of Pilibhit district.The purpose of this study is to explore how incorporating the arts into educational programs improves students' academic achievement.The study compared students receiving and not receiving arts integrated education in digital and digital subjects. The second hypothesis predicted that arts integrated education would have no significant impact on students' academic achievement.

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 Keywords

Art integrated education, primary level school, achievement of students, Art integrated education in language, Art integrated education in music

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: Affecting 1% of those over 55, Parkinson's disease [PD] is the second most prevalent neurological illness after Alzheimer's disease. Lewy bodies and a gradual loss of dopaminergic neurons in the substantia nigra pars compacta are hallmarks of the underlying neuropathology observed in Parkinson's disease. The Lewy bodies are made up of ?-synuclein aggregates. Bradykinesia, muscle rigidity, and resting tremor are among the motor symptoms of Parkinson's disease. Parkinson's disease (PD) patients typically exhibit bradykinesia, rigidity, rest tremor, and stooping posture, among other motor and non-motor symptoms. PD is also linked to autonomic dysfunction (such as orthostatic and Hyperhidrosis), cognitive impairment (dementia), and neurobehavioral disorders (such as anxiety and sadness).Medical pharmacologic treatments and cutting-edge surgical procedures like deep brain stimulation (DBS) have proliferated in recent decades. The mainstays of Parkinson disease treatment include deep brain stimulation for patients experiencing uncontrollable LDOPA-related motor complications, non-dopaminergic methods to treat both motor and non-motor symptoms, and medication replacement of striatal dopamine. Lifestyle changes are helping to avoid Parkinson's disease. Yoga and other physical exercises lower the risk of Parkinson's disease.

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Bradykinesia, muscle rigidity, cognitive impairment, orthostatic, Parkinson's disease.

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Floods are one of the major natural hazards across the globe. They have devastating consequences, impacting livelihoods, businesses, agriculture, and more. Therefore, effective flood management is essential to handle such crises. One crucial aspect of effective management is the early identification of submerged regions. This enables timely alerts to responsible authorities and citizens. This article presents an approach for segmenting flooded areas in satellite images using a hybrid neural network architecture built upon the U-Net framework. By analyzing images of pre-disaster and post-disaster events, the model can effectively identify changes in water bodies and land cover. This research has the potential to make a significant impact on flood mitigation strategies within the Indian subcontinent.

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 Keywords

U-net, Deep Learning, neural networks, satellite images, flood

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Creative Commons Attribution 4.0 and The Open Definition

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Artificial Intelligence has rapidly become an integral part our daily lives, transforming various aspects of society and opening up new possibilities and opportunities. However, the growth of AI also raises concerns about its impact on society and the potential consequences of its widespread adoption. This research paper provides a comprehensive overview of the impact of AI on varies aspects of society, including the economy, education, healthcare, employment, and ethics. To achieve this goal thorough review of existing research and data on the impact of AI was conducted. The literature review focused on the economic, social ,and ethical implications of AI ,as well as the challenges associated with its implementation .The review found that while AI has the potential to bring significant benefits to society ,it also poses challenges and risks that need to be addressed .The paper also presents a discussion of the impact of AI on different sectors of society ,including healthcare ,education, and employment .The analysis found that AI has the potential to improve patient outcomes and provide more efficient and effective healthcare services .It can also transform education by providing personalized and adaptive learning experiences .At the same time ,he implementation of AI in the workplace raises concerns about job displacement and the potential for economic inequality .In addition ,the paper evaluates the ethical implications of AI and identifies the need of responsible development and development of AI systems. This includes the need for ethical frameworks and guidelines to address issues such as bias, privacy, and transparency.Overall, this research paper provides a comprehensive overview of the impact of AI on various aspects of society by doing so, this paper helps to guide policy -makers, technology experts and the public towards the responsible and equitable development of AI.

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 Keywords

Artificial intelligence, Technology, Society, Innovations, Computers, Productivity, Machines.

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Creative Commons Attribution 4.0 and The Open Definition

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The growing number of space debris threatens operational satellites and upcoming space missions significantly. Existing Space Situational Awareness (SSA) infrastructure is challenged in precisely tracking, predicting, and characterizing the debris environment, especially small, large numbers of objects. The challenges stem from sensor coverage gaps, the intricacy of orbital perturbations, data processing bottlenecks, and the inability to estimate object characteristics important for precise risk assessment. In this paper, the state-of-the-art in tracking space debris is comprehensively covered, highlighting the constraints of classic techniques and new emerging possibilities for Artificial Intelligence (AI) that can be improved through radar data analysis. The common usage of Kalman Filters and the extensive body of studies employing AI/ML algorithms such as LSTMs and CNNs for determining orbits, predictions, and characterization are reviewed by us. Principal areas of research lacuna were seen to include sparse application of deep learning into direct radar data streams, an absence of rigorous focus on real-time identification, and the demand for comprehensive and meaningful comparisons among AI and non-AI alternatives in realistic situations. This study establishes the precursor for next-generation SSA systems employing AI by recognizing imperative challenges and lucrative areas of research that collectively would lead toward enhancing the security and sustainability of space activities.

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 Keywords

Space Debris, Space Situational Awareness (SSA), Artificial Intelligence (AI), Machine Learning (ML), Radar Data Analysis, Orbit Determination, Trajectory Prediction, Kalman Filter, LSTM, CNN, Deep Learning, Space Surveillance and Tracking (SST)

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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AI, Crop prediction, Random Forest, Gradient boosting.

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Creative Commons Attribution 4.0 and The Open Definition

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Rehabilitation assistive devices are necessary for stroke patients, muscle trauma patients, or patients with age-related muscle atrophy. In this research, a 3D-printed upper limb assistive device was developed with simplicity, customization, and enhanced muscle rehabilitation in mind. With the use of FDM technology and biocompatible materials like PLA and TPU, the device provides light, ergonomic, and patient-specified support. Its modular design enables easy personalization, making it suitable for diverse therapy needs. Preliminary tests on physical therapy patients showed enhanced comfort, usability, and adherence to rehabilitation. The results highlight 3D printing's cost-effectiveness and potential for scalable application in clinical and home settings.

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Upper limb rehabilitation, 3D printing, Assistive device, FDM technology, PLA and TPU materials, Stroke recovery, Modular design, Patient-specific therapy

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Creative Commons Attribution 4.0 and The Open Definition

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The COVID-19 pandemic has significantly impacted research activities and publications across academic disciplines, including Library and Information Science (LIS). This study presents a bibliometric analysis of LIS research publications from India during the COVID-19 period, examining publication patterns, research trends, and scholarly collaboration. The analysis covers research articles published in peer-reviewed journals from March 2020 to December 2022. Using data extracted from major bibliographic databases, the study evaluates various parameters including publication volume, authorship patterns, institutional contributions, and thematic focus areas. Findings reveal a notable surge in digital library services, information literacy, and remote learning-related research during this period. The study identified key research clusters centered around digital transformation of libraries, information-seeking behavior during lockdowns, and emerging technologies in library services. Collaboration patterns show an increase in multi-institutional research partnerships, possibly facilitated by remote working conditions. The research output demonstrates the LIS community's rapid response to unprecedented challenges, with particular emphasis on technological adaptation and service innovation. This study contributes to understanding how the Indian LIS research landscape evolved during the pandemic, offering insights for future research directions and crisis preparedness in library and information services.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Bibliometric, COVID-19, Library Science, Information Science, Research Output, India

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Creative Commons Attribution 4.0 and The Open Definition

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This is a well-established fact now that the avowed object of Ghosh as a writer has been to put to the centre stage the hitherto neglected facets of history. He in all his novels evinces his tenacious efforts to delineate such aspects of history as have been relegated to the margins in the traditional historiography. One such institution of the colonial past is the British army formed largely of Indians soldiers that have always been a little-discussed subject in the conventional history. Ghosh in The Glass Palace directs his attention to delineate the history of the British institution of the colonial army. His representation of the Indian British army is distinctive in so far as he seeks to underline the traumas and mental anguish of the Indian soldiers serving in the British army. There is no gainsaying the fact that the constitution and structure of the colonial army was racialized. Indian soldiers as subalterns had to bear racial discrimination at the hands of their white superiors or British counterparts that culminated in a sense of dissatisfaction and discontent amongst them. Ghosh here aims at projecting the inside view of the army and his portrayal of this colonial institution is unique in so far as he seeks to foreground the dilemmas and predicament of Indian soldiers. This paper seeks to present the ever-present discontent and ever-lurking dissent amongst the British Indian soldiers who suffered constant humiliation at the hands of their British superiors and counterparts. Their predicament was further aggravated by the sense of displacement, dislocation and rootlessness caused by the peculiar circumstances of their lives.

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Alienation, Displacement, Subaltern, Dislocation, Migration, Dissent, Identity Crisis, Dilemma, Self-realization

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Creative Commons Attribution 4.0 and The Open Definition

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The classification of fruits is an essential task in agriculture, food processing, and retail industries, ensuring quality control and efficient sorting. Conventional methods depend on inspection, which is often slow, labor-intensive, and inconsistent. To address these limitations, this study employs Transfer Learning with pre-trained Convolutional Neural Network to develop an fruit classification system. In this research, deep learning models such as MobileNetV2 are fine-tuned to classify fruit images with high accuracy. The pre-trained networks are adapted to recognize different fruit categories by leveraging their feature extraction capabilities while significantly reducing training time. A Flask-based web application is developed to allow real-time classification, enabling user to upload fruit images and get instant predictions, making it ideal for real-time applications. The findings demonstrate that Transfer Learning is a highly effective approach for fruit classification, offering a scalable and reliable solution for automating the process. This system has potential applications in smart agriculture, automated food inspection, and digital marketplaces, enhancing efficiency and reducing human effort.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Transfer Learning, Convolutional Neural Networks, , MobileNetV2, Flask, Smart Agriculture.

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Creative Commons Attribution 4.0 and The Open Definition