Volume 9 | Issue 10 |

 Abstract

Vartaman vaishvik paridrishya aur Bharatiya aadhunik kala bazar ki chunautiyan aur sambhavnayein

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Vartaman vaishvik paridrishya aur Bharatiya aadhunik kala bazar ki chunautiyan aur sambhavnayein

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Creative Commons Attribution 4.0 and The Open Definition

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The Directory of Open Access Journals (DOAJ) serves as a critical platform for enhancing global access to scholarly research by indexing high-quality, peer-reviewed open access journals. This study evaluates India's contribution to the DOAJ, examining both the quantity and quality of Indian journals included in the directory. Through a detailed analysis of DOAJ data, the study explores trends in journal growth, subject-wise distribution, publisher patterns, and compliance with DOAJ's best practices. The findings highlight India's growing engagement with the open access movement, particularly in disciplines such as medicine, science, and technology. However, the study also identifies challenges related to editorial standards, peer review transparency, and international visibility. The paper concludes by offering recommendations to strengthen India's presence in the global open access ecosystem, emphasizing the need for capacity building, policy support, and adherence to publishing standards.

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An Evaluative Study of India's Contribution to the Directory of Open Access Journals (DOAJ)

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Social and emotional development plays a crucial role in shaping the personality, behavior, and academic progress of school children. For students with Learning Disabilities (LDs), these developmental domains are often more vulnerable due to difficulties in communication, academic performance, and peer interaction. The present study is an attempt to compare the levels of social and emotional development of students with and without LDs in Goalpara district of Assam. Employing a comparative research design, the study involved 120 students (60 with LDs and 60 without LDs) drawn from government and private schools. Data were collected through standardized scales and semi-structured interviews with teachers and parents. The findings revealed that students with LDs scored significantly lower in peer interaction, self-esteem, and emotional regulation compared to their non-LD peers, while family support was found to be equally strong for both groups. The study concludes that though family and teacher support in Goalpara are encouraging, peer relationships and school-based interventions remain weak. The paper suggests strengthening inclusive classroom practices, initiating teacher training, and introducing counseling services to ensure holistic development of LD students in Assam.

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:- Learning Disabilities; Social Development; Emotional Development; Inclusive Education; Goalpara District; Assam

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The conforming heap of isotropic material that is being exposed to pressure in the plane is going to be evaluated as part of this assessment. ANSYS 19.0 was the investigation instrument that was used for the purpose of fulfilling the requirements of this inquiry. The assessment of the clasping load that is placed on the material is made possible by modifying the parameters, which include the angle proportion (a/b), the thickness proportion (S), and the limit conditions. It was discovered that the basic clasping load was impacted by the various proportions of length to breadth, and that the fiber direction edges also had an effect on the basic clasping load symmetric point usage plates. Both of these findings were seen.

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Critical Buckling Load, Isotropic Laminated Plate, Fibre Reinforced Polymers

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Data Mining has an important role in handling large data sets for multiple applications used in problem solving. It involves in extracting insights, predictions, patterns and trends from different sources like data warehouses having large datasets. For the extraction, it uses various techniques like classification, association, clustering and regression. Concept of Data Mining is being used in many areas nowadays like healthcare, business and marketing, Security, Banking and Finance, Education and many more. This paper covers the classification techniques of data mining. WEKA tool has certain classifiers, which are compared on the basis of their performance on data sets.

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Classification, Random Forest, J48, LMT, WEKA

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Mahjar (Pl.Muhajir), an Arabic term means a place of emigration or a country or a territory settled by migrants from other countries. Arabian poets who migrated from the land of Syria, Labanon and other Arab countries to the North as well as to the South Americas in a large number during the late 9th century because of some social and economic considerations and they produced an excellent type of poetry literature thereon. Mahjar literature is a new dimension or emergence of new look in modem Arabic poetry literature. America was its birth place to exercise and develop the Mahjar literature, Specially in poetry. Mahjar poets introduced psychological insight for the first time in Arabic poetry. Influence of West, American poets and Russian realism was revealed by them. Most of the Mahjar poets were Christian in religion hailed from Syria and Labanon and their mother tongue was Arabic. Some of the most important and influential poet like Mutran lived and worked in Egypt. As they were favoured by the British authorities in different places, they excelled in English, French as well as in Arabic. The poets were accompanied with new ideas and attitude, and they had the general interest in literature and in poetry in particular and they produced work of a quality and originality which became a vital stage in the development of romantic poetry in Arabic. These writers were initially brought to either through the journalism or though one literary monthly magazine of the Arabic speaking community in New York, Al-Fanun and Al-Saih edited by Nasib Arida and Abd Al-Masih Haddad respectively. At last they formed "The Pen Association", In New York in 1920. Literary efforts received support and encouragements in the twenties from this Association.

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Emigration, Dimension, Psychological, Realism, Journalism, Magazine

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High-rise structures; Earthquake effects; Inter-storey drift; Seismic acceleration; Base isolation; Tuned mass damper (TMD); Viscous damping; Core-outrigger system; Seismic control strategies; Performance-based seismic design.

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Rivers playing a significant role in shaping the cultural geography of regions. Rivers are not just natural phenomena, they are deeply cultural spaces that shape and are shaped by human experiences. The present study tries to assess and analyse the role of Periyar River in shaping the cultural geography of Kalady - Aluva region of Kerala. The cultural geography of Kalady was shaped by both the Periyar and the number of spiritual centres of this river basin. The river ghats of Kalady are inextricably linked with the culture, tradition and beliefs of the people. Aluva is an urban river basin, popularly known for the long sandy stretch called Aluva Manappuram is the cultural landmark of this region. The religious and spiritual centres, ghats, and river basin spaces play a crucial role in providing a place for socio-cultural gatherings. The cultural centres in the river basins exhibit the importance of river in shaping the cultural landscape of the region.

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Cultural Geography, Periyar River, Spiritual Landscape, Cultural Landscape

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The rapid advancements in deep learning architectures have transformed various fields, enabling significant improvements in performance and efficiency. This study presents a comparative analysis of several state-of-the-art deep learning architectures, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Transformers, and Generative Adversarial Networks (GANs). We evaluate their performance based on key metrics such as accuracy, precision, recall, F1 score, and computational efficiency. By conducting experiments on diverse datasets relevant to real-world applications, including healthcare, autonomous vehicles, and natural language processing, we identify the strengths and weaknesses of each architecture. Our findings reveal that while some architectures excel in specific tasks, others offer versatility across multiple domains. The implications of these advancements are discussed, highlighting their potential to drive innovation in various industries. This study aims to provide insights for researchers and practitioners in selecting appropriate deep learning models tailored to their specific applications, thereby advancing the field of artificial intelligence.

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Deep Learning, Neural Networks, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Transformers.

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When automation is driving the competitiveness of your business, organizations need ML to optimize their process. Process automation is vital within enterprise systems such as SAP to decrease manual interference, raise accuracy, and enhance operational flexibility. This paper investigates how to integrate ML into the SAP frameworks to automate core business functions, such as predictive analytics, anomaly detection, and decision processes. This study offers a framework of process automation using contemporary ML algorithms applied to process data, which exploits SAP's inherent capabilities for optimization. The research is to review existing literature on SAP's capacity to automate and implement ML and the challenges in implementation. The paper further details a complete methodology to embed ML models into SAP's enterprise systems and discusses case studies for implementations. Performance metrics and optimization outcomes are referenced via graphs and tables as visuals. Finally, this study concludes with future research directions and the possibility of future advancements in ML-enabled SAP process automation.

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Creative Commons Attribution 4.0 and The Open Definition

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Machine Learning (ML). Process Automation, SAP Frameworks, Predictive Analytics, Optimization

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Creative Commons Attribution 4.0 and The Open Definition