Volume 12 | Issue 4

 Abstract

This study endeavors to create a reliable anomaly detection system for heart disease using the Bisecting Min-Max DBSCAN algorithm. Given the global impact of heart disease on mortality rates, timely detection is crucial for effective treatment. Conventional methods often struggle to discern subtle patterns within complex heart health data. By harnessing the Bisecting Min-Max DBSCAN algorithm, which integrates the strengths of DBSCAN with adaptability, the study addresses this challenge. Data preprocessing involves comprehensive cleaning, integration, transformation, and reduction to enhance model performance. The model employs bisecting K-means clustering followed by DBSCAN to pinpoint abnormal patterns and outliers. Encouraging results exhibit high precision, recall, F-measure, and accuracy, showcasing the algorithm's effectiveness in anomaly detection. Interpretations suggest that this method can facilitate early diagnosis and intervention, thereby improving patient outcomes in cardiovascular health. This research underscores the importance of advanced anomaly detection techniques in healthcare and lays the groundwork for further refinement and expansion of such methodologies for heart disease diagnosis and beyond.

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 Keywords

Support Vector Machine, Random Forest, DBSCAN (Density-Based Spatial Clustering of Applications with Noise), Machine Learning.

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Small cell lung cancer (SCLC) is a type of malignant tumor that is characterized by rapid growth and early metastasis spread. Early and accurate SCLC diagnosis is critical for improved survival. Accurate cancer segmentation assists doctors in better understanding the location and size of cancer and making better diagnostic decisions. In this project, we are using the YOLO framework to pinpoint the exact location of a lung tumor that is attached to the border of blood veins, as well as to classify the tumour. The R-CNN techniques demonstrated in Part 1 primarily use regions to localize objects within an image. The network does not examine the entire image, but only the portions of the image that are more likely to contain an object. The main advantage of using YOLO is that it is extremely fast and accurate

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 Keywords

YOLO, Deep Learning, Lung cancer, CNN.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Madrasa community as a marginalised group within the minority communities of India face extreme socio-economic and low literacy challenges. Madrasa teachers and students, because of being vulnerable on accounts of their low socio-economic status, lack exposure to mainstreaming and training and development opportunities for seeking gainful employment despite Govt. of India's policy of modernisation and universalisation of education. Yet, they continue to function in relative isolation. Against this backdrop of Covid-19 pandemic issues, this paper reports the inequalities stemming from social-security and welfare issues, in addition to digital remote learning challenges and disparities faced by the madrasa community.Madrasa community as a marginalised group within the minority communities of India face extreme socio-economic and low literacy challenges. Madrasa teachers and students, because of being vulnerable on accounts of their low socio-economic status, lack exposure to mainstreaming and training and development opportunities for seeking gainful employment despite Govt. of India's policy of modernisation and universalisation of education. Yet, they continue to function in relative isolation. Against this backdrop of Covid-19 pandemic issues, this paper reports the inequalities stemming from social-security and welfare issues, in addition to digital remote learning challenges and disparities faced by the madrasa community.

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 Keywords

Marginalised Institutions, Mainstreaming, Employment, Covid-19, Madrasa Education.

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 Abstract

This project proposes a food recognition system that uses a convolution neural network as a base model for image prediction and then returns nutrition facts such as calories in the given single food image. Knowing the nutrition content of the food that we are consuming helps in maintaining a balanced diet. Our work is organized in two parts. First, we trained and optimized a CNN, state-of-art model using Tensorflow 2.0, we are using CNN as the convolution layers are tweakable and easy to implement. Second, we adapt our model with GUI features as well as nutrition analysis. We also created an extension of FOOD-101 dataset by adding typical Indian food categories. Our model performed extremely well with a mean accuracy of 95% in both normal FOOD-101 dataset and in the extended version.

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 Keywords

Deep Learning,CNN,Food Classification

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The Rockwell hardness test is a widely used method for evaluating the hardness of materials, particularly metals. This research paper explores the principles, applications, and significance of the Rockwell hardness test in material science and engineering. The paper delves into the testing procedure, including the selection of scales, test loads, and indenters, as well as the interpretation of hardness values. It discusses the advantages of the Rockwell test, such as its simplicity, speed, and ability to provide reliable hardness measurements. Additionally, the paper examines factors that can influence Rockwell hardness results, such as material composition, surface finish, and testing conditions. Understanding the Rockwell hardness test's fundamentals and considerations is crucial for accurate material characterization and quality control in various industries, from manufacturing to aerospace engineering.

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 Keywords

Rockwell hardness test, Material science engineering, Hardness, Evaluation, Quality.

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The PCMC Divyang KYC Project aims to streamline and enhance the Know Your Customer (KYC) process for persons with disabilities (Divyang) within the Pimpri-Chinchwad Municipal Corporation (PCMC) region. Recognizing the unique challenges faced by individuals with disabilities in accessing and completing traditional KYC procedures, this project seeks to leverage technology to create an inclusive and efficient system.

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Government Initiatives, welfare Programs, Social Impact Technology

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This paper discusses the dynamic connection between oral tradition, performance poetry, and cultural identity, focusing on Native American poetry and poet Joy Harjo's influential contributions. Drawing from interdisciplinary fields like literature, cultural studies, and performance studies, the paper explores how oral tradition plays a crucial role in preserving cultural heritage and passing down wisdom within Native American communities. By analyzing thematic elements, styles, and cultural motifs in Native American poetry, the paper emphasizes the impact of factors like land, spirituality, and oral traditions on shaping Indigenous poems. It further investigates Joy Harjo's innovative approach to performance poetry, blending spoken word, music, and storytelling to create performances with wide-reaching appeal. Through discussions on themes like resilience and connection, the paper evaluates how performance poetry fosters cross-cultural understanding. Examining Harjo's artistic techniques, such as expressive vocal delivery and collaboration, the study reveals how performance poetry can authentically engage with cultural heritage across borders. Ultimately, the research highlights the enduring importance of oral tradition and performance poetry in shaping cultural identity and encouraging dialogue among diverse communities, stressing the significance of preserving and celebrating cultural heritage in modern society.

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Oral tradition, Performance poetry, Native American poetry, Cultural identity, Joy Harjo, Cross-cultural understanding, Cultural heritage.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Culture refers to the complex total which includes knowledge, belief, art, morals, laws, customs and other capabilities and habits acquired by an individual as a member of a society. Culture trains people along particular lines, tending to put a personality stamp on them. It's also not necessary that all people are likewise in a particular culture. There are sub-cultures within a culture. For, people have their own quiddities and are told by heredity, artistic gests ,sub-cultural gests , family gests and unique particular gests . Cross-culture refers to the commerce of people from different artistic backgrounds, generally within a plant, community, or society. This commerce can lead to a blending or exchange of artistic morals, values, actions, and practices. It's frequently associated with globalization and increased interconnectivity between people from different backgrounds. Cross-cultural issues in transnational surrounds arise due to differences in artistic morals, values, communication styles, and actions between individualities or groups from different countries or regions. These issues can manifest in colorful aspects of transnational relations, including business, tactfulness, education, and social relations.

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1436

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Creative Commons Attribution 4.0 and The Open Definition

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Industrial facilities and numerous environments pose the danger of ammonia (NH3) and hydrogen sulfide (H2S) fuel emissions that may have extreme fitness and environmental implications. Growing an automatic sensor model able to appropriately detecting these gases is vital for timely mitigation and safeguarding of human health and the surroundings. This paper provides a novel computerized sensor model designed especially for the detection of NH3 and H2S gas emissions. The proposed sensor version integrates superior sensing technologies with data processing algorithms to attain dependable and actual-time detection of NH3 and H2S gases. The sensor machine employs an aggregate of fuel sensors particularly calibrated for NH3 and H2S detection, ensuring high sensitivity and selectivity. Additionally, the version contains signal processing strategies to decorate the accuracy and robustness of gas detection in numerous environmental situations. Furthermore, the automatic sensor model is ready with wireless conversation abilities, enabling remote tracking and records transmission to centralized control systems or monitoring stations. This selection facilitates activate reaction to gas emission events, making an allowance for well-timed implementation of mitigation measures and minimizing capability dangers to human fitness and the surroundings. The effectiveness of the proposed sensor model is tested through widespread laboratory testing and field trials in industrial settings with varying stages of NH3 and H2S gasoline concentrations. The consequences show the version's high accuracy, reliability, and responsiveness in detecting fuel emissions, thereby highlighting its potential for enormous deployment in business, commercial, and residential packages.

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 Keywords

Automatic sensor model, Gas detection, Ammonia (NH3), Hydrogen sulfide (H2S), Sensor network, Environmental monitoring, Wireless communication, Hazardous gas emissions.

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Knowledge is the most valuable resource in the world. The knowledge disseminated by our ancestors paved the foundation for this contemporary technological world. Indigenous knowledge is the knowledge that people in a particular community have accrued over time and has benefited the growth of our nation. In the past, knowledge was transferred orally from generation to generation. But as Manning (2001) said, "When a knowledgeable or old person dies, a whole library disappears." Due to its impending extinction, it is vital that we manage and transmit our indigenous knowledge resources. Nowadays, it is crucial to use traditional methods of knowledge preservation and dissemination. As we live in a technological age, digital libraries are one of the blessings we have to save this knowledge system. The swift adoption of digital media in today's fast-paced world presents excellent opportunities to speed up the process of preserving, managing, and disseminating knowledge that is particular to our communities. By utilizing technology to digitize and share traditional materials, digital libraries help to ensure that indigenous knowledge systems are not lost and that they are transmitted to future generations. As indigenous knowledge is on the verge of extinction, the paper discusses the wonderful role that digital libraries can play in its preservation and dissemination. A few research questions have also been formulated to address this issue. In order to analyze the aforementioned research questions strategically, this paper suggests using a qualitative approach. The scope of digital libraries in resource management, the various methods for conserving them, and information regarding indigenous knowledge were all critically analyzed for this paper.

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Digital Library, Preservation, Dissemination. Indigenous Knowledge, Strategic Approach

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Creative Commons Attribution 4.0 and The Open Definition

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Abstract: Introduction: Arterial blood gas (ABG) analysis is a critical skill for nurses in assessing and managing patients with respiratory and metabolic disorders. However, studies indicate a gap in nurses' knowledge regarding ABG interpretation, highlighting the need for structured educational interventions. Objective: This study aimed to evaluate the effectiveness of a structured teaching program in enhancing staff nurses' knowledge of ABG analysis and interpretation. Methods: A pre-test/post-test quasi-experimental design was employed. A convenience sample of 60 staff nurses working in Vivekananda hospital of Moradabad was recruited. The structured teaching program consisted of knowledge and interpretation of ABG analysis , delivered through lecture cum demonstration through ppt . Pre-test and post-test assessments were conducted using a validated questionnaire to measure participants' knowledge of ABG analysis and interpretation. Descriptive and inferential statistics were used to analyze the data. Results: [Preliminary findings revealed a significant improvement in participants' knowledge scores following the structured teaching program. Mean pre-test score was 12.25 while the mean post-test score increased to 16.60 .Statistical analysis using paired t-tests demonstrated a statistically significant difference (p < 0.05), indicating the effectiveness of the intervention in enhancing nurses' knowledge of ABG analysis and interpretation.] Conclusion: The findings suggest that a structured teaching program can significantly improve staff nurses' knowledge of ABG analysis and interpretation. These results underscore the importance of ongoing education and training initiatives to enhance nurses' proficiency in critical clinical skills, ultimately improving patient care outcomes. Further research is warranted to explore long-term retention of knowledge and its impact on clinical practice.

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Arterial blood gas, ABG analysis, interpretation, structured teaching program, staff nurses, knowledge assessment, nursing education, patient care

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Rasa Shastra and Bhaishajya Kalpana is a unique branch of Ayurveda which deals with the preparation of Ayurvedic medicines using metals, minerals and herbs. In the present research paper, the work done on pharmaceutical study of Karanjatailadi Malaham conducted in the department of Rasa Shastra and Bhaishajya Kalpana under the post graduate research program is being presented. Karanjatailadi Malaham is a unique herbo-mineral formulation elucidated in Rasa Tantra Sara Va Siddha Prayoga Sangraha, part 2- Kushta adhikara for the management of Vicharchika. Karanja taila, Siktha, Shuddha Tuttha, Krishna Maricha, Krishna Jeeraka, Karpoora and Madhu are the ingredients. The main pharmaceutical procedures involved in the preparation of Karanjatailadi Malaham are Shodhana, Choorna nirmana, Siktha taila nirmana and Mardana. The present study has been planned to standardize the method of preparation of Karanjatailadi Malaham according to the method explained in the classical literatures.

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Karanjatailadi malaham, Vicharchika, Shodhana, Tuttha, Malahara.

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 Abstract

The burgeoning demand for electric vehicles (EVs) is set to significantly alter the landscape of road transportation. Yet, despite this surge in interest, current commercial EVs confront several limitations, including constrained battery range, inadequate charging infrastructure, and high upfront costs. As urban sprawl persists and prosperity increases, traffic congestion emerges as a pressing concern. In response to these fundamental challenges within the transportation realm, the E-highway emerges as a promising remedy, boasting twice the efficiency of internal combustion engines. This pioneering approach entails shifting from individually powered combustion vehicles to grid-powered transportation. By furnishing trucks with power from overhead contact lines, this innovation not only mitigates local air pollution but also makes substantial strides towards decarbonizing the transport sector.

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E-Highway, Electric vehicles

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This paper aims to provide a comprehensive review of various techniques employed for haze removal. Within the realm of image processing and analysis, image dehazing stands out as a pivotal area of research. The dehazing process holds significant importance in enhancing human comprehension under conditions of low visibility. Haze, indicative of poor air quality, manifests as a visually impairing pale appearance in the atmosphere, leading to diminished visibility. This atmospheric phenomenon arises from the heightened concentration of air pollutants suspended in the air, causing scattering and absorption of sunlight. Consequently, affected images exhibit a whitened appearance with reduced contrast. The adverse effects of haze extend across diverse applications within computer vision, notably in fields such as video surveillance and object detection. This paper is dedicated to thoroughly exploring various procedures designed to effectively eliminate haze from images. Furthermore, it critically evaluates the limitations inherent in existing methods, aiming to contribute insights into refining and advancing dehazing techniques.

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Image dehazing, Dark Channel Prior, Contrast Enhancement. Polarization

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Creative Commons Attribution 4.0 and The Open Definition

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This study has been undertaken to compare visual functions in diabetic and non-diabetic patients after cataract surgery. To find out the difference in visual outcomes of cataract surgery in diabetic and non-diabetic patients.To find out the difference in intraocular pressure of cataract surgery in diabetic and non-diabetic patients.To find out any change in colour vision in diabetic and non-diabetic patients after cataract surgery.To compare the visual acuity after cataract surgery in diabetic non-diabetic patients. The data for diabetic and non-diabetic patients who underwent phacoemulsification with IOL implantation in Integral University, Lucknow from March to May were collected. Pre and post-operative data were analysed for every patient.

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NCT, DM, Non-DM, VA

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This project deploys a sophisticated network of strategically positioned force sensors on a car's sides to register accidents, classifying them based on the severity of impact forces. The resulting data is securely transmitted to a centralized server, creating a comprehensive accident history for each vehicle. This information serves to significantly reduce fraudulent activities within the used car market. Furthermore, the system also features an integral function for notifying emergency responders about accidents, ensuring a swift response and facilitating effective traffic management and accident scene assistance, thus further enhancing overall road safety.

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Force sensors, Accident classification, Centralized server

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Creative Commons Attribution 4.0 and The Open Definition

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This research project delves into the pivotal shift occurring in the public's perception, moving from traditional internal combustion engines (ICE) to electric vehicles (EVs). Under the guidance of Dr. Mohd Farhan, Sahil Jasrotia and Shefali scrutinize the multifaceted dynamics influencing this transition. Through a comprehensive analysis integrating literature review, surveys, and data interpretation, the study aims to decipher the determinants driving or hindering the embrace of Evs among the populace. By uncovering these insights, the research contributes to the broader discourse on sustainable transportation, offering valuable implications for policymakers, industry stakeholders, and society at large.

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Electric cars, determinants of electric car adoption, Environmental concerns

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Creative Commons Attribution 4.0 and The Open Definition

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In the teaching field, blackboard, duster, and chalk are crucial elements. Erasing the writing from boards with a normal duster poses a big challenge for both teachers and students. The chalk dust creates difficulties and allergy issues for teachers and students, disrupting the concentration of both lecturers and listeners. The Automatic Blackboard Writing and Cleaning System is an innovative project designed to enhance the efficiency and functionality of traditional blackboards in educational and collaborative environments. The project consists of two main components: the Automatic Blackboard Writing Unit and the Blackboard Cleaning Unit. The Automatic Blackboard Writing Unit utilizes a specialized writing tools to replicate the handwritten content provided by users. This unit incorporates advanced algorithms for precise and legible writing, ensuring that information is accurately transcribed onto the blackboard. The cleaning unit ensures a thorough erasure of content, leaving the blackboard ready for new information without any residual marks or smudges. Key features of the Automatic Blackboard Writing and Cleaning System include user-friendly interfaces, customizable writing styles, and automatic calibration for different blackboard sizes. Additionally, the system promotes environmental sustainability by reducing the need for disposable writing materials and minimizing the use of cleaning agents. The implementation of this project aims to revolutionize traditional teaching methods, making educational spaces more dynamic and interactive

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user-friendly interfaces , accuracy, automatic calibration , time-efficient

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This research paper examines the complex interplay between federalism and factionalism in India and their collective impact on democratic participation. Through a detailed analysis of India's political structure, this study elucidates how the federal system and various factional dynamics influence voter engagement, policy consistency, and governmental stability. The investigation includes a historical overview of India's federal evolution, a structural analysis of the division of powers, and an exploration of major political factions, including their roots in caste and religion. Notably, case studies of Punjab, Jammu & Kashmir, and the Northeastern states provide empirical insights into the interaction between federal arrangements and regional factionalism. The paper also identifies key challenges to democratic participation arising from these interactions, proposing several institutional and policy reforms aimed at enhancing democratic engagement and mitigating the negative impacts of factionalism. The findings underscore the need for a nuanced approach to governance that accommodates India's diversity while promoting effective and inclusive democracy. This research contributes to a deeper understanding of the dynamics between federalism and factionalism in one of the world's largest and most complex democracies.

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Federalism, Factionalism, Democratic Participation, India, Regional Autonomy, Political Stability

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Bharathi, who emerged during the Indian freedom struggle, inspired the revival of Tamil literature by keeping the desire for liberation alive in his songs. He expressed his prophetic ideas of what the future India would be and should be through his works. What he sang as dreams have come true today. Among them are national unity, liberation, society, education, science, agriculture, linguistics etc. What he sang as dreams have come true today. Among them are national unity, liberation, society, education, science, agriculture, linguistics etc.

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Creative Commons Attribution 4.0 and The Open Definition

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Indian freedom struggle, prophetic ideas, national unity, liberation, society, education, science, agriculture, linguistics etc.

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Creative Commons Attribution 4.0 and The Open Definition