Volume 12 | Issue 11 |

 Abstract

This research explores the potential of integrating cob construction with fly ash to create sustainable and eco-friendly farmhouses. The study examines the environmental benefits, structural performance, and design options of these combined building methods, with a particular focus on interior design elements. Fly ash, which is a byproduct of coal combustion, is evaluated as a supplementary material to cob, improving thermal insulation, increasing structural integrity, and reducing carbon emissions.

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 Keywords

Sustainable, Eco-Friendly , Cob, Farmhouse, Fly Ash, Interior

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Creative Commons Attribution 4.0 and The Open Definition

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This paper is an outline of creating a multi AMBA system processor interface, which is designed to interconnect various AMBA processors. The main purpose of this interface is to simplify the connection between different AMBA AHB interfaces and external memory devices like RAM and REGISTER, using the high-performance features of the AMBA AHB. This research examines the use of Application Specific Integrated Circuits (ASICs) for integrating processors with functional units into System-On-Chip (SoC),which can run complex applications. It investigates how in ASIC environment processors communicate with their targets via standardized communication protocol across all targets. The paper also discusses problems connected with data throughput and inter-processor/RTL communication in present-day microprocessors and suggests that multiple AMBAs can be used simultaneously to have access to target components they are meant for. It further introduces a proposed arbitration system that manages multiprocessor access; and explores how bulk data access can be optimized while satisfying major ASIC design constraints like speed, low power consumption and efficient area utilization. In regard to these technologies, it was tested using simulation by verification using Verilog ,which gave us remarkable outcomes.

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 Keywords

AMBA AHB protocol; AMBA processor interface; multiprocessor arbitration; Verilog

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Creative Commons Attribution 4.0 and The Open Definition

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For detecting covid-19 and checking the severity of the patients condition ct examination of the lungs is significant however the current manual viewing of ct images requires professionalism in order to improve the inspection efficiency of the huge number of ct images it is necessary to develop an intelligent detection algorithm to perform ct inspections this paper proposes a covid-19 detection algorithm based on efficientdet efficientdet leverages a faster and easier multi-scale fusion approach which is more suitable for covid 19 detection tasks with finer feature granularity in addition data augmentation is also significant in covid-19 detection tasks this paper verifies the effectiveness of efficientdet on the siim fisabio-rsna covid-19 detection dataset provided by kaggle platform experimental results show that efficientdet has achieved better performance than other detection algorithms taking map05 as an indicator efficientdet reaches 0545 which is 79and yolo-v5 index termscovid.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

COVID-19, X-rays, transfer learning, convolutional neural networks, EfficientDet, data augmentation, Big Data, Deep learning, Artificial intelligence (AI), Healthcare, Machine learning (ML)

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Creative Commons Attribution 4.0 and The Open Definition

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Generation Z, commonly known as Gen Z, denotes the demographic subset succeeding the millennial generation. Although there is a bit of variation in the specific birth years of Generation Z, it is commonly believed to encompass individuals born from around the mid-1990s to the early 2010s. Interacting and connecting with individuals of various generations is essential for nurturing intergenerational relationship. When it comes to Generation Z, intergenerational relationships usually entail members of this generation engaging with individuals from older generations. Members of Generation Z are frequently described as digitally native, as they have been raised in a society where technology - particularly the Internet and social media - has been ingrained in daily life from a young age. They are known for being technologically adaptable, socially aware, and having a global perspective. While it is important to recognize that attitudes toward religion can vary widely among individuals, there are some general trends observed among today's youth that may contribute to the perception that interest in traditional religious belief and commitment to religious life has declined. Several psychological theories provide insight into the search for role models in life, especially when young people are engaged in a committed religious life. These theories emphasize the complex interplay of cognitive, social, and emotional factors in seeking and embracing role models, especially in the formative years of religious youth. This paper highlights the characteristics of Gen Z youth, barriers for formation of youth and way forward to promote formation of youth.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Youth, Generation Z, Intergenerational Relationship, Formation and Vocation

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The issue of fake news is not new but has become more prevalent in recent times due to the widespread use of the internet and smart phones. Many people tend to share news without verifying its authenticity, leading to the spread of false information. This problem has been further exacerbated by the Covid-19 pandemic, where misleading news has contributed to widespread panic and confusion. Given the serious consequences of fake news, the need to limit its dissemination on social media platforms has become increasingly critical. Therefore, a study has been conducted to understand people's perspectives on this issue. The study aims to analyze qualitative data, such as people's opinions and attitudes towards limiting the spread of false information on social media. Through this study, we hope to gain valuable insights into how individuals perceive the problem of fake news and what measures can be taken to prevent its spread. By understanding people's viewpoints, we can develop effective strategies to combat the spread of false information and promote greater awareness about the importance of fact-checking and responsible sharing of news. According to the study's findings, self-regulation might not have the desired impact on preventing the spread of false information. However, one possible strategy that may be used to stop fake news from spreading on social media platforms is to plan efficient campaigns to increase social media literacy. Therefore, this specific study might help in the decision-making process when it comes to implementing regulatory measures to stop the spread of false information on social media.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Fake news , Social media , Media literacy

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Electrical Impedance Tomography (EIT) is a non-invasive imaging technique for examining the electrical properties of tissues, with applications in biomedicine due to its affordability, portability, and safety. However, EIT systems often involve costly or complex hardware, limiting accessibility for in-lab experimentation. This project introduces an efficient, easily replicable EIT hardware system designed for frequencies between 1 kHz and 50 kHz, aimed at making EIT more accessible for proof-of-concept validations. The system optimizes performance while minimizing costs, using modern integrated circuits and a lock-in amplifier for compact signal filtering and DC output generation. Comprehensive schematics, manufacturing files, and fabrication procedures are provided to simplify replication and further development. The hardware is experimentally tested and validated through data comparison with simulations and inclusion detection in biological tissues.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Electrical Impedance Tomography (EIT), Open-source hardware, Multiplexer, Current detector, Phantom, Peak detector, power supply, Low pass filter, Band pass filter.

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Creative Commons Attribution 4.0 and The Open Definition

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This study aims to review the fundamental principles and significance of Thin Layer Chromatography (TLC) in research, particularly in phytochemistry. TLC is a straightforward, cost-efficient, and user-friendly planar chromatographic technique that has been utilized in chemistry laboratories for many years to separate chemical and biochemical substances. Typically, chemical and optical methods are employed to detect analyte spots on the TLC plate. Additionally, TLC is widely used to identify impurities in compounds. This review emphasizes the application of TLC for the qualitative and quantitative analysis of bioactive compounds in medicinal plants.

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 Keywords

Thin Layer Chromatography, Solvent Selection, Plant Extraction, Phytochemical Screening, Medicinal Herbs.

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Creative Commons Attribution 4.0 and The Open Definition

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The term "social entrepreneurship" has gained popularity in India and other countries. This idea of giving has always piqued people's interest. It's ideal blend of social responsibility and business acumen makes it incredibly alluring and distinctive. Typically, entrepreneurship is associated with economic pursuits, ruthlessly pursuing profits at the expense of social benefits or the wellbeing of society. Lately, the idea of social entrepreneurship has gained a lot of traction in India and other countries. Many have discovered it to be rather fascinating. It provides the best fusion of enterprise with social service, which makes it the most alluring and distinctive of its kind. Entrepreneurship is linked to economic pursuits and a merciless emphasis on maximizing profits, regardless of the consequences for society or its well-being. Benefits to society have diminished or perhaps vanished in many nations during the current period of rapid industrialization and economic expansion. This paper aims to provide an explanation of social innovations and requirements from the perspective of entrepreneurship. The scope and importance of social entrepreneurship have grown recently, and this article covers both topics. Finally, this study article also highlights the ways in which social entrepreneurship can alter or have an impact on the social structure and how do these social entrepreneurs make way for better growth and development.

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Social Entrepreneurship: Identifying Opportunities for Better Growth and Development

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Carrot is the most important vegetable grown throughout the world, as it is a very good source of ?- carotene, ?-carotene. The post-harvest losses because of having high moisture content limit the utilization of carrot. The present study focused on the effect of different drying temperature that is 60?,70?and 80? on different thickness of carrot slices, in combination with pretreatment of KMS (potassium metabisulphite) The result from the experiment indicate that with increase in thickness of the carrot slices the drying time to attain the equilibrium also increases. The time taken for drying was more for blanched sample as compare to the control sample, as blanching involves the immersing of food in boiling water, which can increase its water content. Therefore, the blanched sample take longer time to dry. It also indicates that the moisture ratio of the blanched sample is lower than that of control sample after drying. Key words: Carrot slices, KMS, Blanching ,Hot water, Drying

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Carrot slices, KMS, Blanching, Hot water, Drying

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Creative Commons Attribution 4.0 and The Open Definition

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ABSTRACT: Adeep learning-based systems was developed to identify medicinal plants in the Borneo region in real time. The system used techniques like class weighting and focal loss function to improve the model's learning process. In the future, we meant to further develop the systems performance by developing the sample collection of training data. Furthermore, to make system more useful, we meant to increase the number of species, as the Borneo region is a high species diversity spot. A medicinal plant is a high importance for human health. Medicinal plants are widely used as mixture of traditional medicines in non-industrialized societies, folk medicines readily available and cheaper than modern medicines. In ancient times, herbal medicines were also prevalent in Borneo regions. A medicinal plant is that species of the plant kingdom, whoseparts (flowers, leaves, roots, stems, fruits, or seeds) are directly used or used in some preparation as a medicine to treat a condition or disease. A vision-based systems can support research and ordinary people in recognising herb plants quickly and accurately. This study purposes an intelligent vision-based systems to identify herb plants by developing an automatic Convolutional Neural Network (CNN). Hence, the proposed method effectively identifies in real time and can replace traditional method.

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 Keywords

Index Terms-- Deep learning, Convolutional Neural Network, folk medicines.

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Creative Commons Attribution 4.0 and The Open Definition