Volume 10 | Issue 2 |

 Abstract

The study explores the significant role of Nadine Gordimer's literature in chronicling and evaluating the South Africa's historical journey from the apartheid era to the post-apartheid period. Through her novels, Gordimer provides the profound insights about the systemic injustices of apartheid and the psychological or the moral dilemmas experienced by individuals living under such a tyrannical regime. Her works not only document the brutal realities of racial segregation and state-sponsored violence but they also serve as the scope for understanding the complexities of South Africa's transition to democracy. In the post-apartheid context, Gordimer's literature continues to resonate, reflecting the ongoing struggles for equality, justice, and reconciliation. The apartheid era was marked by writer as a brutal state repression that includes censorship, imprisonment, and violence against those who opposed the regime. By examining her contributions, this study emphasizes the enduring significance of Gordimer's vision for a society where congruence and human dignity can prevail.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Apartheid, Racial Segregation, Nadine Gordimer, South African Literature, Systemic Injustice, Democracy

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

As the demand for high-performance machine learning models in production environments continues to grow, optimizing inference workloads has become a crucial aspect of deploying AI solutions. This paper provides a comprehensive analysis of optimizing AWS Inferentia, a specialized hardware designed by Amazon Web Services to accelerate deep learning inference, with FastAPI and PyTorch models. The study evaluates the performance, cost-effectiveness, and ease of deployment associated with leveraging AWS Inferentia for inference tasks. By integrating FastAPI, a modern web framework for building APIs with Python, the research investigates its compatibility and efficiency when combined with PyTorch, a widely used machine learning library known for its dynamic computation graph and ease of use. Through a series of experiments, the paper compares the inference speed, latency, and throughput of models deployed on AWS Inferentia against traditional CPU and GPU setups. The results demonstrate significant improvements in inference times and resource utilization, highlighting the benefits of using specialized hardware for specific workloads. Furthermore, the paper discusses the practical implications of deploying FastAPI and PyTorch on AWS Inferentia, including considerations for model compatibility, deployment pipelines, and cost management. This research aims to provide insights for organizations seeking to optimize their AI infrastructure by leveraging cutting-edge technologies and frameworks, ultimately enabling more efficient and scalable AI deployments.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

AWS Inferentia, FastAPI, PyTorch, machine learning inference, model optimization, deep learning, API deployment, hardware acceleration, inference speed, resource utilization.

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Creative Commons Attribution 4.0 and The Open Definition

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Disaster management platforms like emergency services offer important information for helping during disasters. Machine learning can be used to find this information. However, using social media data for emergency response has many challenges. These include reliability, measuring performance, deception, focus, and turning observations into useful information. During the Haiti earthquake, many volunteers worldwide tried to help by sending SMS messages with mapping, translation, and resource allocation. But these platforms couldn't handle the huge amount of urgent information. Organizations weren't prepared to use data from outside their networks, especially not at this scale. They lacked technical staff and tools to make sense of the data. To solve this, we suggest using a method called domain adaptation, which learns from existing labeled data. Our method uses the Linear SVC Algorithm with a Self-Training strategy. Tests show that this method can classify emergency messages effectively during disasters.

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ANALYZING NATURAL DISASTERS' SEVERITY WITH ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING

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 Abstract

The present study was carried out to compare bal/balika ashram and parent home adolescent students on overall Emotional Maturity. A sample of 360 (90 male and 90 female from bal/balika ashram and 90 male and 90 female from parent home adolescent students) were selected randomly for the present study. The result of the study reveals that overall emotional maturity is not affected significantly by the interaction of gender and inhabitance of adolescent students. In other words the effect of gender on overall emotional maturity is the same for both the levels of inhabitance and vice versa.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Bal/Balika Ashram, Parent Home, Adolescents, Emotional Maturity

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Creative Commons Attribution 4.0 and The Open Definition

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ABSTRACT: Digital preservation has become indispensable in safeguarding the accessibility and longevity of digital content amidst rapid technological evolution. This article examines the multifaceted challenges confronting digital curators, particularly within library contexts, and explores the transformative impact of advanced 3D scanning technologies. Libraries, crucial repositories of digital materials, face significant hurdles in transitioning from traditional to digital formats, necessitating robust preservation strategies to mitigate risks associated with media failures, technological obsolescence, and the impermanence of web content. The proliferation of web-based information sources further accentuates the need for libraries to adapt policies and practices effectively. Recent advancements in 3D scanning technologies offer promising solutions, empowering users to create accurate digital replicas of cultural artifacts and architectural wonders with unprecedented ease and precision. Key technologies such as Microsoft Kinect, Scanify Fuel 3D, Google Project Tango, and Artec Eva and Spider are explored in detail, highlighting their capabilities and applications in digital preservation efforts. Despite these innovations, challenges persist, including limited implementation and regulatory obstacles. Initiatives aimed at promoting the adoption of digital preservation technologies are essential to safeguard invaluable cultural heritage and knowledge resources. Achieving a balance between centralized information management structures and harnessing the internet's potential for communication and engagement remains a pivotal challenge for internet governance. Through comprehensive preservation strategies and cutting-edge technologies, libraries can continue their vital role as custodians of knowledge in the digital age.

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KEYWORDS: Digital preservation, Libraries, 3D scanning, Handheld scanners, Microsoft Kinect, Scanify Fuel 3D, Google Project Tango, Artec Eva, Artec Spider,

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Creative Commons Attribution 4.0 and The Open Definition

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The principle of sustainability encompasses two fundamental goals of justice in relation to the preservation and utilization of ecosystems namely: (1) equitable treatment of individuals across the globe within the present generation (known as Global Justice/intragenerational justice); and (2) justice between individuals belonging to present and future generations (known as intergenerational justice). This paper attempts to outline the grounds of rights of future generations.

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 Keywords

Rights, Sustainability, Intergenerational Rights, Human Rights, Fairness, In Personam Rights, Rem Rights

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The real and imaginary parts of dielectric constant (?? and ??) of artificially contaminated dry and moist soil (contaminated with crude oil) are determined, percentage concentration of crude oil varying 0.0% to 10.0% gravimetrically. ?? and ?? of soil are determined at 34.50C temperature and at a single microwave frequency 9.78 GHz by wave guide cell method. It was observed that ?? and ?? increases as percentage concentration of crude oil in the soil increase but the effect of crude oil mixing on dielectric properties is more significant for moist soils. ?? of moist soil is strongly correlated with contamination level of soil. The parameter "tangent loss" related to the microwave heating of soil is also measured regarding reclamation of soil.

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DIELECTRIC STUDY OF SOIL CONTAMINATED BY CRUDE OIL AT MICROWAVE FREQUENCY

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"People with disabilities are vulnerable because of the many barriers we face: attitudinal, physical, and financial. Addressing these barriers is within our reach and we have a moral duty to do so...... But most important, addressing these barriers will unlock the potential of so many people with so much to contribute to the world. Governments everywhere can no longer overlook the hundreds of millions of people with disabilities who are denied access to health, rehabilitation, support, education, and employment--and never get the chance to shine".

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A STUDY ON ACCESS TO COPYRIGHTED WORKS FOR PERSONS WITH DISABILITIES

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The concept of emotional intelligence implies humans are both rational and emotional. Coping abilities in life are dependent on the integrative functioning of both rational and emotional capacities. Emotional is the unique repertoire of emotional skills that a person uses to navigate the everyday challenges of life. The educational system and programs must make efforts for traning the emotions of both the students and teachers. There are different popular model of emotional quotient were given by Goleman, Reuven Bar-on, Cooper etc. were used even today for the development of emotional intelligence scale also this scale developed by many Indian psychologists and researchers. By considering various factors, the researcher has developed, constructed and validate the emotional intelligence Scale. The researcher has used systematic procedure for the development of the scale. The present study intends to assess the EQ of students of secondary school level. The present scale consists of 113 of which 94 statements are positively worded and 19 statements are negatively worded. The scale covers different dimensions such as self-Awareness, self- Regulation, motivation, Empathy and Social skills. The reliability of the scale is determined by calculating reliability coefficient on a sample of 500 Students. The statistical properties of the scale as found out by Chronbach alpha, split half method. The scale has high content validity. The present emotional intelligence scale is very useful to access emotional intelligence of students of secondary school level. Hence it has high educational implications.

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CONSTRUCTION AND DEVELOPMENT OF EMOTIONAL INTELLIGENCE SCALE AT THE SECONDARY SCHOOL LEVEL

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Education, learning, curriculum, ancient, medieval, modern etc.

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Creative Commons Attribution 4.0 and The Open Definition