Volume 10 | Issue 3 | March-2022

 Abstract

The creation of novel phosphoantigens is desirable for a variety of reasons, including prospective pharmaceutics and research into the mechanism of action of existing phosphoantigens. To this date, the phosphoantigens produced by our software have all been phosphonates, which are compounds containing only one phosphorus. All of the synthetic phosphonates, on the other hand, are less powerful than the naturally occurring HMBPP. Bodec and colleagues examined the utility of a second phosphorus by creating a diphosphonic acid, which they used to test their hypothesis.

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 Keywords

phosphoantigens, diphosphonic acid, phosphinophosphonate,prodrug, prenyl

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The energy crisis, brought on by the rapid depletion, price increases, uncertain supplies, and ever-increasing demand for petroleum fuels, has prompted a worldwide search for fuel alternatives as well as methods of extracting more useful work from conventional fossil fuels. Internal combustion engines have undergone continuous improvement in terms of fuel consumption and exhaust emissions since their inception. One of the most significant challenges that engineers and scientists in the automotive industry and its partners are currently facing is improving fuel efficiency while maintaining or even improving exhaust gas emissions. In order to increase thermal efficiency while simultaneously reducing exhaust emissions and fuel consumption, lean operation is an appealing operational method. Lean operating limits can be improved by using gaseous fuels because they are clean, economical, and abundant. One of the primary objectives of this research is to examine the Extended Expansion Lean Burn Combustion Engine. Based on the findings of this study, it can be concluded that the simulation results are in excellent agreement with the experimental results. The mathematical model that has been developed can be used as an effective analytical tool to predict the effect of engine design and operating parameters on engine performance and emissions in a short period of time and at a low cost.

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Extended, expansion, lean, burn, combustion, engine etc,

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News Anchoring: A brief to understand its challenges in the Indian journalistic domain.

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Currently, energy meters are installed at domestic or commercial locations to track energy consumption, displaying the data on either a dial or a digital screen. At the end of each billing cycle, a service provider's representative must visit the location to manually record the meter reading for bill generation. This traditional method of energy billing is not only time-consuming but also prone to errors. The goal of this project is to develop an energy meter that not only measures a consumer's power consumption in kWh but also facilitates real-time monitoring, eliminating the need for manual readings. The system continuously tracks energy consumption by measuring voltage and current, sending updates such as low balance, zero balance, and recharge alerts to a registered number via a GSM modem. Additionally, it can detect illegal power usage and instantly notify authorities. Power and energy calculations are performed using Arduino programming, and messages are sent to consumers with details of their energy usage and bill amount

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GSM, Energy Meter, Load Control, Arduino Project, Smart Billing System.

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This research paper presents an in-depth assessment of air pollution in Jabalpur, Madhya Pradesh, with a particular focus on key air pollutants. Data from various sources, including an Informative Panels Installed in Cities for air quality index platform and Previous Studies are analysed to investigate air quality variations. The paper aims to provide insights into the sources and seasonal variations of air pollution in Jabalpur, alongside critical recommendations for air quality improvement.

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Air Pollution in Jabalpur, Madhya Pradesh: A Comparative Analysis and Recommendations.

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Using deep learning algorithms, especially Convolutional Neural Networks (CNN), has become a more effective way to automate illness diagnosis. This research aimed to see if deep learning-optimized chest CT scans could help diagnose lung cancer. The study involved 90 people diagnosed with lung cancer through surgery or biopsy. A model called RCNN was used for nodule detection, and a common picture segmentation model called Mask-RCNN was also used. The results showed that the suggested algorithm was 71.74% accurate in identifying lung lesions in lung cancer patients, compared to CT scans which had an 88.37% accuracy rate. The sensitivity of the algorithm was 78.21%, and the specificity was 82.87%.

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Lung cancer detection, CNN, RCNN, Deep Learning

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Abstract: The importance of MSME has been recognized in recent years for its significant contribution to gratify socio economic status of small and medium entrepreneur's. They play vital role in industrial development of a country. The MSME sector is an important pillar of Indian economy, as it contributes greatly to growth of Indian economy. The present paper has made an attempt to focus on the present performance of MSME in India in terms of growth in number of units in different states, growth in term of area and activity based, growth in category wise, employment generation and contribution to total industrial production and GDP of India and problems faced by MSME in India. It is concluded that this sector is contributing significantly to manufacturing, trade and service sector, generating employment opportunities to rural people and to the GDP of the country. MSME faces a number of problems such as absence of adequate and timely financial facilities, non-availability of suitable technology, scarcity of skilled manpower and market facility.

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Keywords: MSME, GDP, GVA.

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The proposed paper would attempt to study the phenomenon of power and its relation with human agency. Agency has broadly been defined as an Individual's capacity to act. The exercise or manifestation of an agent's actions hold some form of power. In this regard, agency and power are intricately connected with each other. Powerless individuals fail to exercise their agency in the society. Interestingly, powerlessness does not refer merely to the absence of physical power, but all forms of power in Foucauldian sense. Individuals in a societal structure are not equally positioned in relation to power. The dominated groups or marginalized individuals face greater constraints in exercising their agency due to the power imbalances which is prevalent in the society. This paper, thus aims at expounding the Foucauldian forms of power and its relation with the individual agency as propounded by Anthony Giddens.

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Power, Agency, Foucault, marginalized, Society, Structure

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"Beyond the Frame: Applied Photography and Visual Storytelling" explores the dynamic intersection of photography and narrative, pushing the boundaries of traditional image-making to create a more immersive and impactful storytelling experience. This abstract delves into the key themes and concepts addressed in the work, emphasizing the innovative approaches and applications of photography in the realm of visual storytelling. The project investigates how photography transcends its conventional role as a static medium by becoming a dynamic tool for storytelling. It explores the diverse ways in which photographers, artists, and storytellers leverage visual elements to communicate narratives that extend beyond the confines of a single frame. Through an interdisciplinary lens, the work navigates the fusion of technology, design, and narrative theory, examining the evolving landscape of visual storytelling in the digital age. One significant aspect of "Beyond the Frame" is its emphasis on applied photography--how photographic techniques are purposefully employed to enhance storytelling. This may involve experimental use of lighting, composition, and post-processing, as well as the integration of emerging technologies like augmented reality or virtual reality. By dissecting case studies and innovative projects, the abstract sheds light on how practitioners apply these techniques to engage and captivate audiences in novel ways. Furthermore, the abstract explores the sociocultural implications of visual storytelling through photography. It considers the power dynamics, representation, and ethical considerations inherent in the creation and consumption of visual narratives. By critically examining the socio-political impact of photographic storytelling, the project seeks to contribute to a broader conversation about the responsibility and influence of visual media in shaping perspectives and influencing societal discourse. In conclusion, "Beyond the Frame: Applied Photography and Visual Storytelling" stands at the forefront of the evolving dialogue on the transformative potential of photography in narrative construction. Through a comprehensive exploration of applied techniques, technological integrations, and sociocultural considerations, the project illuminates the multifaceted ways in which photography extends beyond mere documentation, emerging as a dynamic and influential force in contemporary visual storytelling.

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Applied Photography and Visual Storytelling

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Globally, non-governmental and governmental organizations are intricately linked through diverse communication technologies, presenting a significant challenge with the escalating threats of cyber-attacks and the imperative need for information security. In today's interconnected world, a majority of social, cultural, economic, commercial, and governmental activities unfold in cyberspace on an international scale, intensifying the complexity of safeguarding data from cyber threats. These threats, driven by financial, political, or military motives, necessitate diverse solutions to thwart potential cyber-attacks. Researchers across the globe have proposed a plethora of methods to counteract the rising tide of cyber threats. This study aims to scrutinize the challenges inherent in the methods proposed within the realm of cybersecurity. Furthermore, it conducts an assessment of the strengths, weaknesses, and challenges associated with these methodologies. Special emphasis is placed on dissecting new descendant attacks, providing an in-depth understanding of the evolving threat landscapes. Additionally, the study sheds light on emerging trends and recent developments in cybersecurity, fostering awareness among cybersecurity researchers and offering valuable guidance for future research and development endeavors.

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 Keywords

Cybersecurity, Cyber threats, Cyber space, Cyber crime IoT, Artificial Intelligence.

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Creative Commons Attribution 4.0 and The Open Definition