Volume 12 | Issue 4 |

 Abstract

This study investigates the correlation between household income and the occurrence of child labour and trafficking in Suleja, Niger State. A model was created using the analytical ideas proposed by Basu and Van (1988) and Fan (2011). The study used a multistage sampling strategy to get data from three specifically chosen rural districts in the Suleja Local Government Area of Niger State. The data was collected by distributing questionnaires to 367 families in the three chosen rural areas of the Suleja Local Government Area. The study findings indicate a significant occurrence of child labour and trafficking in Suleja, Niger State, Nigeria. It is recommended that both individuals and the government pay attention to and actively participate in efforts to eliminate child labour and trafficking. This will help to limit the involvement of children in these harmful practices.

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 Keywords

Child Labour, Trafficking, Household Income, Rural Districts, Elimination Efforts

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Creative Commons Attribution 4.0 and The Open Definition

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Being a country full with diversity in everything, it has a very key role to play in the field of language. Starting from the most ancient language to the current's natinal language "Hindi" and how this evolution has taken place and what else has been the impact of this revolutionising journey.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Language, diversity in language, indian language, Tamil, Hindi

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The deployment of 4G/ LTE( Long Term Evolution) mobile network has answered the major challenge of high capacities, to make real broadband mobile Internet. This was possible substantially through veritably strong physical subcaste and flexible network archi- tecture. still, the bandwidth empty services have been developed in unprece- depressed way, similar as virtual reality( VR), stoked reality( AR), etc. likewise, mobile networks are facing other new services with extremely demand of advanced trustability and nearly zero- quiescence performance, like vehicle dispatches or Internet- of- Vehicles( IoV). Using new radio interface grounded on massive MIMO, 5G has crushed some of these challenges. In addition, the relinquishment of software defend networks( SDN) and network function virtualization( NFV) has added a advanced degree of inflexibility allowing the drivers to support veritably demanding services from different perpendicular requests. still, network drivers are forced to consider a advanced position of intelligence in their networks, in order to deeply and directly learn the operating terrain and druggies actions and requirements. It's also important to read their elaboration to make apro-actively and efficiently( tone-) updatable network. In this chapter, we describe the part of artificial intelligence and machine literacy in 5G and beyond, to make cost-effective and adaptable perform- ing coming generation mobile network. Some practical use cases of AI/ ML in network life cycle are bandied.

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 Keywords

Coming Generation mobile Networks, 5G, Artificial Intelligence, Machine Learning, Deep Learning, Physical Layer, Big Data, Network Control

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper aims to give a comprehensive overview of crop recommendation systems, fastening on the operation of machine learning (ML) algorithms. Crop recommendation systems have achieved significant attention in recent times because of their capability to help growers in making proper opinions regarding crop selection and optimization. This paper reviews the vital generalities, ways, challenges, and advancements related to ML algorithms employed in crop recommendation systems. likewise, it discusses various datasets, evaluation criteria, and case studies available in the literature to illustrate the capabilities and limitations of being systems. The check concludes by relating implicit avenues for future disquisition and pressing the significance of ML in revolutionizing husbandry.

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Creative Commons Attribution 4.0 and The Open Definition

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Bixa orellana the sindur plant belonging to Bixaceae family and has a phytochemical and pharmacological uses. The extraction of essential oil and the chemical composition of oil from the bixa orellana seed are described along with antimicrobial, antibacterial and other uses. Bixin can be use as a decoction or an infusion to treat bacterial infections, according to the literature. Soxhlet extraction was used to carry out Extraction on dried seed. The lozenges were prepared by molding method with sucrose, peppermint oil, gelatin, honey, turmeric etc. The prepared medicated lozenges were characterized for Hardness, weight variations, moisture content method. These activities was done against various pathogens bacteria such as E.coli,streptococcus aureus and other l, these activities was investigating using disc diffusion method.

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lozenges, throat infection, bixa orellana seeds,antimicrobial activity.

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Creative Commons Attribution 4.0 and The Open Definition

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Nowadays, individuals are apprehensive about visiting hospitals for medical consultations because of the COVID-19 epidemic. As a result, internet consultations have become more popular. However, physicians are compelled to treat patients without enough data since they are unable to do the diagnostic checks typically performed on them in hospitals. Our gadget captures the necessary data and sends it to the doctor, solving these difficulties

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 Keywords

COVID-19, Hospitals, Patients, IoT

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Creative Commons Attribution 4.0 and The Open Definition

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While educational games have been increasingly popular in education, insufficient studies have comprehensively reviewed their effectiveness. To complement this missing link, this study explored game-based learning outcomes including academic achievements, problem-solving, and critical thinking abilities, knowledge, learning efficiency, skills, student attitudes, and behaviours. Both negative and positive effects of educational games on motivation were also explored based on comprehensive literature analysis. The role of engagement in game-based learning was studied, coupled with the ways to enhance student engagement. We also explored the importance of gamified components in student satisfaction and provided constructive suggestions for designers and practitioners. Future research should highlight learning analytics and data mining techniques of educational game-based learning and try to find out solutions to address various problems to improve the effectiveness of educational games.

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Educational games, Game-based learning, Effectiveness, Critical thinking abilities, Knowledge acquisition, Student attitudes

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Creative Commons Attribution 4.0 and The Open Definition

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The constitution of India emphasizes on right to education to all, irrespective of caste, creed, religion, gender and age. Every citizen has moral right for education. Education, knowledge gaining help's for elevating social, economic and cultural fabric of every country. Education opens wide range of opportunities with which society can lead to a dignified life. Education for Girls or woman is of utmost importance. Earlier education for girls was a task, but with profound efforts of social reformers, various movement, special amendment's for women and Government intervention many doors are now open for women in various fields and professions. However inspite of beleaguered determinations still the girl's education has not reached the proportion in comparison with boys, especially in rural parts of India the ratio is inverse. As a matter of concern and surprise even in cities the woman drop-out numbers are increasing. Hence this paper's intention is to look out, research and analyse various aspects leading to diminishing enrollment of girls in Women College in Metropolitan city like Mumbai. The present paper attempts to understand the socio-economic huddles faced by today's girls to continue education

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Diminishing, Constitution, Education, knowledge, beleaguered

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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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Creative Commons Attribution 4.0 and The Open Definition

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Deep Learning and artificial intelligence are two of the most ground- breaking technologies of our day. When a machine can suppose, learn, perceive, and make opinions tasks that generally bear mortal intelligence this is appertained to as artificial intelligence. A fashion for tutoring neural networks to learn from data and gain delicacy over time is known as deep learning, a subset of artificial intelligence. In fields including image identification, natural language processing, and independent buses, deep learning has achieved outstanding results. In a number of tasks, similar as speech recognition, language restatement, and image bracket, deep learning models can presently outperform humans in terms of delicacy.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Artificial Intelligence, Deep Learning, clinical decision support, health diligence

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Creative Commons Attribution 4.0 and The Open Definition