Volume 11 | Issue 11

 Abstract

Leila Aboulela, who perceives herself as a 'silent writer' is a Scottish-based Sudanese-origin fictional writer, playwright, and essayist whose insightful narratives are themed on identity, migration, Muslim culture, and superposed East and the West. This study critically examines Leila Aboulela's strategic essentialism against the backdrop of colonial continuance and globalization. It further focuses on how Africa needs liberation from both guilt and gratitude through the characters who have migrated to England in Leila Aboulela's short stories Missing Out, The Ostrich, and Doctor on the Nile. Migrants in the West often encounter 'colonial subjugation' and at same time are culturally displaced from their own space. In this realm, Leila Aboulela's illustration of Khartoum can be studied in the light of Salman Rushdie's conceptualization of 'imaginary truth'. This research predominantly analyzes the perplexity of cultural praxis through Homi Bhabha's concepts of 'mimicry' and 'hybridity' in the context of Leila Aboulela's alterity in these selected works.

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Colonialism, Khartoum, Leila Aboulela, Migration, Mimcry, Orientalism

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Artificial Intelligence has emerged as a dynamic force reshaping business operation across diverse industries. It encompasses a broad spectrum of applications, from automation and data analytics to personalization and customer service. AI's growing significance in business value creation is undeniable. Organizations are increasingly relying on AI to gain a competitive edge and enhance their operations. However, despite substantial investments in time, effort, and resources, many AI initiatives end in failure due to a lack of comprehensive understanding of how AI technologies can create tangible business value. To address this knowledge gap, this paper presents a narrative review that identifies how organizations can effectively deploy AI and the mechanisms through which AI generates value. This review delves into the multifaceted influence of AI on businesses, discussing its implications for research, innovation, market deployment, and the evolving landscape of business models. Drawing insights from Neo-Schumpeterian economics, we explore the pivotal roles of innovation, knowledge, and entrepreneurship in AI-driven business transformations. The research model employed offers a three-dimensional perspective that navigates through the significant dimensions of AI's impact. As AI continues to evolve, businesses must navigate ethical, regulatory, and workforce-related considerations. This review underscores the evolving dynamics of AI in the business domain and its transformative potential in an increasingly AI-driven world.

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Business Models, Automation, Robotic Process Automation, Robotic Process Automation, Artificial Intelligence

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The quest for alternative paradigms aimed at expanding epistemic knowledge while analyzing political challenges in the twenty-first century is motivated by limitations inherent in classic orientations of political phenomenon analysis. Modern philosophers have embraced behavioralist techniques in opposition to institutionalist, pluralist, and elitist approaches that are now in use. These approaches have the potential to elevate the empirical status of knowledge in modern political analysis. This paper's topic was examined through an examination of all available literature, debates, and archive sources using the conventional philosophical technique of analysis. In order to pinpoint the advantage that the behavioral method provides modern political scientists, the research objectively assesses the majority of the accusations leveled against it. The study comes to the conclusion that not all of the approach's examples are bad in spite of these objections. We are all becoming behaviorists as a result of the new ideas, advanced analytical tools, and mathematical models that behaviorism has given out.

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Behaviouralists, Behaviouralism, Contemporary, Elitists, Empirical, Pluralists, Paradigms

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This paper aims to develop a system for automated classification of rotten fruits using artificial intelligence (AI) and integrate it with a mechanical arm to segregate. The system will use Deep Learning techniques to analyze the images of fruits and identify the ones that are rotten based on their color, texture, and other visual cues. The data set of images of fruits, both fresh and rotten will be used for training. Once the system is trained, tested and validated it can be used in identifying the freshness of any new fruit given as input to the system. The fruits will be placed before the camera one after the other. The Trained AI Model will classify the images captured by the camera and identify the ones that are rotten. Once the rotten fruit is identified the robotic arm will be activated to separate the rotten fruit from the others.

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AI, CNN, Image Acquisition, Deep learning, Arduino.

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Industrial Relations (IR) comprise relationships between the state on one hand and the employer's and employee's organisation on the other, and the relationship among the occupational organizations themselves. Industrial relations are outcomes of employment relationships in an industrial enterprise.

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Industry, Relations

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In the 21st century, as new and electronic media expand, the relevance of traditional folk media in promoting health, education, tourism, and women's issues in rural areas of developing countries is a subject of inquiry. Despite the appeal of modern media, traditional folk media remains significant due to its strong connection with audiences based on religious, cultural, and linguistic affinities. These forms of art resonate with the population through shared beliefs, folklore, fables, and cultural requirements. They effectively convey information and education while fostering acceptance of scientific and developmental changes in rural communities, which can be resistant to change. India, with its rich heritage of folk media, still showcases these traditions during rural festivities, offering a platform for communicating informative and educational content. The paper underscores the immense potential of traditional folk media in development communication and calls for greater emphasis on their role in promoting health, education, tourism, and women's issues.

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Folk Media, Communication, Information, Population

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The advent of data-driven methodologies has revolutionized the field of materials science, particularly in the analysis and optimization of geopolymer materials. Geopolymers, known for their superior mechanical properties and environmental sustainability, have garnered significant attention in various industrial applications. This comprehensive review delves into the multifaceted role of data science in geopolymer research, emphasizing its contribution to the advancement of material properties, performance, and application domains. We systematically explore the literature, focusing on the integration of data analytics, machine learning, and computational modeling in understanding and predicting the behavior of geopolymer composites. A detailed synthesis of findings from selected studies highlights the efficiency of data-driven techniques in enhancing the structural integrity and durability of geopolymers. The review identifies prevailing trends, pinpoints gaps in current research, and discusses the challenges encountered in data acquisition and analysis. Furthermore, we propose future research directions that promise to foster innovation and optimization in geopolymer technology. By encapsulating the state-of-the-art in data-driven geopolymer analysis, this review aims to serve as a pivotal resource for researchers and industry practitioners alike, aspiring to harness the power of data science in material development and application.

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Geopolymer Materials, Data Science, Machine Learning, Material Analysis, Data Analytics, Computational Modeling, Material Optimization, Structural Integrity.

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Heart disease remains a pervasive global health concern, maintaining its status as a primary cause of mortality. Early detection is pivotal for effective intervention strategies. This research leverages the Random Forest algorithm to predict the risk of heart disease, utilizing a comprehensive dataset encompassing patient attributes such as age, gender, cholesterol levels, blood pressure, and other pertinent clinical features. Renowned for its robustness and accuracy, the Random Forest model undergoes training on historical data to discern intricate patterns and relationships within the dataset. Through a meticulous evaluation process, we showcase the model's proficiency in accurately categorizing individuals into heart disease risk groups. This underscores its significance as a valuable tool for healthcare professionals in the assessment of patient cardiovascular health. This study represents a meaningful contribution to the ongoing endeavors aimed at harnessing machine learning to enhance heart disease prevention and elevate the standard of patient care.

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Machine Learning, Random Forest Algorithm, Risk Prediction and Accuracy

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The IoT-based Car Accident Prevention and Alerting System using Raspberry Pi is a solution designed to enhance road safety. The system utilises a Raspberry Pi along with sensors like IR, MEMS, ultrasonic, vibration, alcohol, GPS, and MPC30008. Its primary objective is to detect accidents and promptly notify emergency services to minimise response time and save lives. The system continuously monitors both the vehicle's surroundings and the driver's condition through an array of sensors. In the event of an accident being detected, the system immediately sends an alert to emergency services containing information such as the vehicle's GPS location. To further enhance safety measures, the system also includes a DC motor and motor drive for controlling vehicle speed and direction.

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Internet of Things (IOT), Raspberry Pi, GPS, Sensors

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Nowadays due to global warming and climate changes there are challenging situations in coal mines. To reduce the cost as well as to improve the productivity along with product quality the automation in the field of coal mine is necessary, which will also reduce the mine workers efforts. This project proposes a design of a IOT system with MQTT protocol, by the help of Raspberry pi controller which is able to monitor the temperature, humidity, gas and status of smoke in an underground mine. This system utilises low power, cost effective Raspberry pi, a temperature sensor, humidity sensor and gas sensor for sensing the mine climate parameters and Wi-Fi for remote logging of data at central location to control the climate state. Every sensor value gets reported through the MQTT protocol at every certain interval of time. If there is any sudden increase in any of those sensor values along with the data log, ten seconds of video has been captured and sent to the server's mail

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Message Queuing Telemetry Transport(MQTT), Internet of Things (IOT), Sensors, Light Detecting Resistor(LDR).

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Engineering education is the process of acquiring general and specialized knowledge by means study and learning to development intellectual powers of reasoning and judgment. Human education growth and development is a life - long process as it includes acquisition of skills for executing various professional and vocational functions. Examining the progress of engineering courses in British India we can say that India grew up in Engineering after Independence, only difference is that in India the growth in technical education remained limited and slow as compared to western nations. At the time of Independence there were only 20 Universities and 500 Colleges, whereas if we compare today, we have more than 1056 universities and 4151 B.Tech colleges, out of which 594 are government colleges whereas 3548 are private colleges. At present, a total of 21 IITs, 31 NITs and 25 IIITs are spread across the country, but most of the students throughout the country are not aware about new courses or degrees, especially those who are living in remote areas. This gives a brief idea about the availability of hung scope for applying new publicity Activities as well as Marketing Strategies and plans on national level.

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Present Scenario of Engineering Education, Growth of engineering education, Human resource development, Growth of the economy and industry, Accreditation system etc

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This article is an attempt to analyse the motivations and intentions of international student migrants from India. The methodology of literature review is employed for this study. For this the most important and relevant articles which deals with the subject of international student migration from India are reviewed. Important theoretical and conceptual frameworks applied in the studies are examined. The important findings from the studies are elaborately discussed and critically analysed. The major gaps and limitations of the studies are also pointed out. The scope and directions for future research are also being discussed.

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Student migration, International education, Motivations for migration, Intentions of student migrants

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Abstract Social and economic factors are very important indicators for the overall development of any community. as a result, it has a wide-ranging impact on the community. In which the health of women and children of weaker sections of the community is most affected. Similarly, the condition of Baiga tribal community is also socially and economically weak. Who generally live in largest numbers in dense forests and inaccessible hilly areas. Economically, their traditional livelihood is hunting, collecting forest produce, shifting cultivation etc. And socially, increasing deforestation and degradation of traditional lands have forced most of the Baiga communities to migrate to urban areas. Their migration impacts their overall health. This also negatively impacts public health due to poverty, illiteracy and limited access to health care. The present paper literature review examines various socio-economic factors that negatively impact Baiga health status including limited access to health care, malnutrition, poor health etc. Malnutrition is also a serious health problem among the Baiga tribal communities due to limited food access and dietary diversity due to traditional lifestyle and agriculture. Tackling all these factors and socio-economic challenges requires a multi-pronged approach, including providing adequate nutrition and sanitation, expanding educational opportunities and improving access to health care, etc. Identifying the root causes, government and non-governmental organizations to ensure their proper implementation by government organizations and communities. and enhancing the health and well-being of communities. And by improving the socio-economic condition of the Baiga community, changes can be brought about by positive improvements in their health and education. Due to which the social and economic condition of Baiga tribal community can be changed and their health condition can also be improved.

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Keywords: Baiga tribe health, health care access, socioeconomic factors, malnutrition, poverty.

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Toni Morrison (1931-2019) was a major figure in contemporary American literature, particularly in the work of women writers. Toni Morrison communicates her concerns about the black female group to women of all colours and races in reaction to the physical and spiritual trauma caused by slavery. J. Hillis Miller's deconstruction approaches will be used in this study to examine the relationship between parental love and female subjectivity under slavery. One of the most powerful novels ever written, Beloved, exposes the damage slavery inflicts on its character's even after they are released. Margaret Garner, an abolitionist and former slave, was the inspiration for the film Beloved, which tells her tale. Because she did not want her children to be relocated to the plantation where they worked, Garner killed her two-year-old daughter on January 28, 1856, and attempted to kill her other two children as well. As a result of slavery, former slaves lose their self-esteem, and the story is full of examples of this.

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Toni Morrison, Black Females, Slavery, Black Literature

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Postmodern intertexuality abbrevation the relation between text that have related to incidents.

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Intetexuality circumstances

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COVID-19 Disease, Regenerative medicine, Mesenchymal stem cell therapy, Exosomes

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This article is a comparative study between Kaviraja Marga, the earliest available work on rhetoric, poetics and grammar in the Kannada language, and Tholgappiyam, the first grammatical work in Tamil. Kannada Shastra literature, influenced by Sanskrit decorators like Bhamaha and Dandi, but it has retained its own desi character. He talked about the desi literary genres like Chattana, Bedande, Onakevadu, which were famous in Kannada at that time. Many Kannada scholars (including Prof. Venkatachala Shasthry renowned Grammarian) have discussed that, the Tamil language has retained as much of the Proto Dravidian elements as possible. So the purpose of this article is to identify the many similarities between Kaviraja Marg and Tholgappiyam. Comparing this kind of two completely different language poetics may contribute to critical thinking.

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Chyutha yaatha sankhya, Dhosha, Apakrama, misapplication of words, nativity, Emphasis, Vishanke.

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To determine the development of sustainable fashion practices, the study analyses the roles and viewpoints of designers and customers. "Assessing the Progress of Sustainable Fashion Practices" responds to the issues brought up by Rina Singh, the creator of the brand Eka, who feels that the term "sustainability" has become overused in the fashion business. According to Singh, the majority of Indian fashion firms should adhere to sustainability as a basic philosophy rather than just as a marketing strategy. The study examines the idea of sustainability from both the standpoints of designers and consumers. In an effort to bridge the gap between modern and traditional Indian components, designers have been shown to embrace a design approach. By including classic styles that may be worn repeatedly, this method discourages mindless consumption and indicates an intentional effort to encourage sustainable practices. Additionally, consumers are essential to the development of sustainable fashion. The article stresses the significance of mindful consumption and exhorts readers to make careful, long-term clothing purchases. Consumers may substantially help the fashion sector adopt sustainable methods by adopting this mentality. The implementation and effects of sustainable fashion techniques are generally critically evaluated in this study, taking into account the views of both designers and consumers. The research highlights the need for ongoing efforts to close the gap between rhetoric and reality while also shedding light on sustainability's difficulties and successes.

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Sustainable Fashion Practices, Conscious Consumption, Modern and Indian Tradition, Fashion Industry

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Technology and computer advancements have permeated every aspect of science. One fundamental area of computer science that has influenced every field of science and technology, from basic engineering to pharmaceuticals, is artificial intelligence (AI). As a result, the fields of medicinal chemistry and health care have begun to use AI. Computer-aided drug design has supplanted traditional drug design techniques in recent years. Artificial Intelligence is being used widely to enhance drug design methods and time requirements. Additionally, AI makes it easy to identify the target proteins, increasing the likelihood that the intended medication will be successful. Artificial Intelligence has found application in de novo drug design, activity scoring, virtual screening, and in silico assessment of a drug molecule's characteristics (absorption, distribution, metabolism, excretion, and toxicity). Pharmaceutical businesses and AI companies have partnered to advance medication research and the healthcare system more quickly. It also gives a quick rundown of the pharmaceutical corporations' latest achievements in drug discovery through their partnerships with various AI firms.

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Artificial intelligence, Computer-aided drug design, Drug design, Pharmaceuticals. INTRODUCTION

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Wind energy, a type of renewable energy and the most green and efficient energy holds a tremendous potential to address energy challenges in developing countries. This paper elaborates and traverse the economic and infrastructural barriers that hinder the widespread adoption of wind energy in major areas. It also examines the various strategies and solutions to overcome the barriers and also emphasizes the importance of international cooperation, policy reforms and technology transfer. Various case studies of different developing countries have been taken into consideration for the solutions to be arrived.

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barriers, international cooperation, solutions, wind energy.

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