Volume 13 | Issue 1 |

 Abstract

Uttrakhand mein ghatit sadak durghatnayen

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Uttrakhand mein ghatit sadak durghatnayen

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The Doiyang Dhansiri Valley civilization of Ancient period along with its unique art forms has great potential in academic history. In the context of Ancient Assam, only the kingdom of Pragjyotisha or Kamrupa bordering North Bengal, Tibet and Hills of Northern Assam had gained proper attention for years. In recent terms, the region of Doiyang Dhansiri civilization between parts of Assam and Nagaland border had came into limelight. Sprouted in the alluvial tracts of the Doiyang and Dhansiri river basins this civilization has unique essence of art yet to be studied. The archaeological sources, i.e. - inscriptions, monuments and sculptures of various medium (wood, stone, terracotta) portray an enrich art collection with salient features. Amides those sculptural remains hold special importance due to their religious, aesthetic and representational values. An inquisitive insight of insane craftsmanship and iconography along with societal values reflects through these art forms. Under the influence of Classical Gupta Art, the stone art of Doiyang Dhansiri Valley adopted fusion of various social elements and regional trends. These influences are evident in the structural features of sculptures, including wide open eyes, lack of spiritual expression, round faces, thick lips and stout bodies. According to H. N. Dutta, sculptures of around 600 AD to 900 AD exhibit distinct characters. This early phase of art movement began at Duborani making the tradition popular as Regional School of Duboroni Art. Scholars like M. N. Dutta traced the origins of these early art forms to Deopani. Since 900 AD, this regional school of art went out existence under the shadow of the East India School of Medieval Art (EISMA). This new style was marked by innovations, particularly in the carving of Kirttimukha and the facial treatment of some anthropomorphic sculptures.

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Doyang Dhansiri Valley, Art, Deopani, Duboroni, EISMA

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Ultrasonic testing is essential for ensuring the safety and reliability of pipelines used for transporting H2, CO2, crude oil, and natural gas. Automated ultrasonic testing systems, employing arrays of transducers/probes arranged in fixed patterns such as X, I, K, on-bead, or wheel probes, are commonly used by manufacturers to detect both longitudinal and transverse defects in various types of pipes, including L-SAW, H-SAW, ERW, or seamless pipes. However, the challenge lies in detecting defects that can occur in any direction, necessitating the use of multiple transducers. While phased array probes are available, they still send ultrasound in a single direction with varying angles. In this study, I investigate the feasibility of using a single transducer/probe with multiple crystals mounted at different angles or a rotating transducer/probe which can scan in different directions to detect defects oriented in different directions. This approach leverages the law of reflection to maximize defect detection while minimizing the number of transducers/probes required, thus potentially enhancing both efficiency and cost-effectiveness in pipeline inspection processes.

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Phased Array, Multi Directional Transducer, Ultrasonic Testing, Steel pipe, calibration

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Periodontitis, a widespread oral condition, can have far-reaching effects on overall bodily health. Research has increasingly explored the potential links between periodontitis and various blood disorders. This study reviews existing literature on the connection between periodontitis and certain blood conditions, including red blood cell disorders like aplastic anemia and sickle cell anemia, as well as white blood cell disorders such as cyclic neutropenia, leukemia, and multiple myeloma. By examining these relationships, healthcare professionals, including physicians and dentists, can improve diagnosis, monitoring, and treatment of patients with both oral and blood disorders, emphasizing the importance of collaborative care for those affected by these interconnected conditions.

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Aplastic Anemia (AA), Multiple Myeloma (MM), Cyclic Neutropenia (CyN), Sickle Cell Disease (SCD), Non-Hodgkin lymphoma (NHL), Anemia of Chronic Disease (ACD), Acute Lymphoblastic Leukemia (ALL), Langerhans Cell Histiocytosis (LCH).

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The present study has been designed to investigate the mental health of rape-victim adolescent girls. A sample of total 100 rape-victim adolescent girls (50 from urban areas and 50 from rural areas of Chitrakoot district) were selected through purposive sampling technique. Mental Health Battery (MHB) by A.K. Singh and Alpana Sen Gupta was used to measure mental health. The findings show a mean difference between mental health scores of urban and rural rape-victim girls. (Urban - Mean 53.74, S.D. 9.31; Rural - Mean 67.60, S.D. 15.07). To see if these differences are significant, Critical Ratio (CR) value was calculated. The calculated CR value is 5.54, which is significant at 0.01 levels, thus, the null hypothesis stating "there is no significant difference in mental health scores between urban and rural rape-victim adolescent girl" is, therefore, rejected. The findings suggest that mental health of urban and rural rape- victim girls is different in Chitrakoot region. Rural rape victim girls are better in mental health than urban rape- victim girls.

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Key Words: mental health, rape victims, urban areas, rural areas, adolescents

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This paper explores the rich symbolism embedded in the art and architecture of ancient Indian stupas and temples, focusing on how these structures communicate spiritual and cosmological ideas. Stupas, primarily associated with Buddhism, and Hindu temples, deeply rooted in Vedic traditions, serve not only as places of worship but as profound representations of religious teachings, cosmic principles, and the human journey toward enlightenment or liberation. Through an analysis of architectural features such as the dome, central pillar, and circumambulatory path in stupas, and the sanctum, temple tower, and iconography in Hindu temples, this paper delves into the symbolic meanings that these elements carry. The study reveals how the design and decoration of stupas and temples create sacred spaces that guide devotees on a spiritual journey, facilitating a deeper understanding of the universe and the divine. Additionally, the paper compares the symbolic expressions found in both structures, highlighting common themes such as the representation of the cosmos, the path to spiritual awakening, and the role of the sacred space in fostering a connection with the divine. By examining these symbolic elements, this research underscores the cultural and philosophical significance of these architectural forms in ancient India, demonstrating their enduring influence on religious art and architecture worldwide. Symbolism in Iconography is a crucial aspect of both stupas and temples in ancient Indian art, where the representation of deities, sacred motifs, and mythological scenes conveys profound religious, spiritual, and philosophical messages. In the context of stupas and temples, iconography serves as a visual language, enabling practitioners to engage with divine principles and teachings. The symbolism in these visual elements reflects the cosmic order, the nature of the divine, and the moral and spiritual journey of the devotee.

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Stupa, Buddhism, Enlightenment, Dome, Sanctum, Temple

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Mundari Geet Ev Kavita Me Prakruti

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Mundari Geet Ev Kavita Me Prakruti

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This paper presents the implementation of the Advanced Aircraft Engine Failure Prediction System, a data-driven approach aimed at improving aviation safety and operational efficiency through machine learning. Building on the foundational concepts discussed in the review paper, this study details the development, integration, and testing of the prediction system using real-time and historical sensor data, including temperature, pressure, vibration, and fuel flow. We focus on the practical challenges encountered during system deployment, such as data preprocessing, feature engineering, and model optimization. By evaluating the performance of various machine learning algorithms in predicting the Remaining Useful Life (RUL) of engine components, this paper demonstrates the real-world application of the system, offering insights into its accuracy, reliability, and efficiency. The results underscore the potential of predictive maintenance strategies in reducing aircraft downtime, optimizing maintenance schedules, and cutting operational costs, contributing to safer and more cost-effective aircraft operations.

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Predictive Maintenance, Machine Learning Models, Aircraft Engine Failure, Sensor Data Analysis, Remaining Useful Life (RUL), Classification and Regression Models, Operational Efficiency, Engine Degradation Indicators, Proactive Maintenance Solutions

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Plants that are deemed undesirable in a certain circumstance are known as weeds; they are essentially "plants in the wrong place." It is necessary to control weeds because they contaminate the crop and lower its quality. Weeds hinder agricultural output, suffocate pastures, infiltrate crops, and occasionally endanger cattle. Their fierce competition for sunlight, water, and nutrients lowers agricultural productivity and degrades crop quality. On an agricultural farm, controlling weeds is one of the most challenging duties. After they are convinced of its benefits, farmers readily adopt mechanical weed control.Agricultural weeding machines with motors not only remove weeds between crop rows but also keep the soil surface loose, which enhances soil aeration and water-intake capacity. By using a motorised weeder, you can save time and labour costs. Because human-operated Weeders need muscle effort, they cannot be used for extended periods of time. Hand weeding by hand is a time-consuming process. This battery drive motorised weeder uses a battery-powered motorised mechanism. An agricultural tool used to eradicate weeds that impede crop growth is called a weeder. Petrol-powered power weeders frequently produce excessive vibration and emissions. An electric system is being installed in the weeder to solve these problems. The current 2-stroke gasoline engine provides the power. Due to a lack of personnel for fieldwork, the weeder is made to be manually operated and is positioned at the roots of weeds. The entire cultivated land is cleared of undesired plants once the instrument has been moved and the weeds are clipped.

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weeder, motor, battery, mounts and joints, weed cutter, two-stroke engine.

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Preterm birth is a pressing global health challenge, with over 15 million annual cases contributing significantly to neonatal mortality. This project explores computational advancements in predicting preterm births using multi-modal data. Key methodologies include machine learning algorithms, biomarker analysis, and genomic studies. By combining clinical data, imaging, and electronic health records (EHR), these systems enhance prediction accuracy and aid in preventive care. This paper reviews existing methods, challenges, and the integration of emerging technologies such as artificial intelligence (AI) and wearable devices, offering a path forward for improving maternal-fetal outcomes.

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Preterm Birth, Artificial Intelligence, Machine Learning, Biomarkers, Genomics, Prediction Models, Data Integration.

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