Volume 13 | Issue 5 |

 Abstract

Survival and Resilience in Cormac McCarthy's The Road, is a post-apocalyptic novel that explores themes of survival, morality, and the enduring human spirit in a world ravaged by disaster. The story follows a man and his son as they journey south through a desolate landscape, encountering both danger and fleeting moments of hope. The novel delves into the nature of good and evil, hope and despair, and the enduring power of human connection in the face of unimaginable loss. The characters face moral dilemmas as they encounter other survivors and the dangers of the post-apocalyptic landscape. The Road is a poignant and harrowing exploration of the human condition in the face of unimaginable adversity, emphasizing the importance of love, connection, and hope even in the darkest of times. The grueling journey of a father and his young son over several months across a landscape blasted by an unspecified cataclysm that has destroyed industrial civilization and nearly all life.

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 Keywords

American Literature; Post-apocalyptic; Cataclysm; Roald Dahl; Resilience; Moral Education.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The integration of real-time weather data enhances the efficiency and adaptability of renewable energy solutions. This project focuses on leveraging an Arduino UNO-based weather monitoring system to collect and analyze environmental data, enabling intelligent solar system adjustments. The weather monitoring system utilizes sensors to measure parameters such as temperature, humidity, light intensity, and wind speed. Data is continuously collected and processed in real-time to optimize the performance of solar panels, including dynamic adjustments to their orientation or energy output regulation. The Arduino UNO serves as the central controller for the weather monitoring subsystem, interfacing with sensors like the DHT11 (temperature and humidity), LDR (light intensity), and anemometers (wind speed). The collected data is displayed on an LCD screen and transmitted to a central system for further processing. The integration enables predictive decision-making, such as tilting solar panels to maximize energy absorption during peak sunlight or safeguarding them during adverse weather conditions. This project highlights the critical role of real-time weather data in improving solar energy systems' adaptability and efficiency. The Arduino UNO-based solution provides a cost-effective, scalable, and accurate approach for monitoring environmental factors, ensuring sustainable energy utilization and resilience to changing weather conditions.

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Dynamic Solar Energy System With Real Time Weather Data Integration

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 Abstract

EFFECT OF IMPACT OF SPECIFIC YOGA TECHNIQUES OF BACKWARD BENDING ASANAS AND YOGA BREATHING TECHNIQUES ON TRIGUNA PERSONALITY ASSESSMENT

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Yoga, Breathing & Mind

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Fake news detection has become a significant challenge in today's digital world. The rapid spread of misinformation through social media platforms and various websites has profound consequences, influencing public opinion, shaping political landscapes, and even impacting global events. Traditional fact-checking approaches often struggle with the sheer volume and velocity of online information dissemination. To address this, automated fake news detection systems leveraging technology have emerged as a crucial area of research and development. These systems aim to automatically identify whether a news item is real or fake, offering a potential solution to ensure the trustworthiness of the information we consume, support ethical journalism, and safeguard public trust in news sources.

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 Keywords

NLP, WEB SCRAPLING

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A congenital heart defect is a problem with the structure of the heart that a child is born with.Some congenital heart defects in children are simple and don't need treatment. Others are more complex. The child may need several surgeries done over a period of several years.

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 Keywords

Children, hypertrophic cardiomyopathy, long QT syndrome, sudden cardiac death.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

An Abstract of Recipe Finder Web Application using Python: This project aims to develop a Recipe Finder web application using Python, which allows users to search for recipes based on various criteria such as ingredients, cuisine, dietary restrictions, and cooking time.

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Recipe Finder Application

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Ensuring the quality of tabular data is a critical preprocessing step before training reliable predictive models. We present a web-based application built with Django that automates data quality assessment and cleaning on uploaded CSV datasets, followed by training of a supervised learning model. The system ingests user-provided CSV files and analyzes issues such as missing values, outliers, and skewed features, providing visual dashboards summarizing key data quality metrics. Automated cleaning operations (mean/mode imputation, outlier clipping via the IQR rule, log-transform for skewed features, and one-hot encoding of categoricals) are performed using Python libraries (Pandas, SciPy, scikit-learn), producing a cleaned dataset ready for analysis. Users can then select a target variable and train multiple regression/classification algorithms (e.g. linear regression, random forest, k-NN), with the best model highlighted by evaluation metrics (e.g. mean squared error). In a case study on a housing price dataset, the application identified approximately 5.97% missing values, 1.47% outliers, and 25.0% highly skewed features, yielding a composite data quality score of 67.56%. A Random Forest regressor achieved the lowest error among models, consistent with known performance. The interface displays feature correlations and per-unit effect sizes, along with interactive charts. This integrated solution streamlines the machine learning pipeline by combining statistical data cleaning and model training in a single Django-based framework.

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 Keywords

Data Quality, Data Cleaning, Django, Machine Learning, Predictive Model, CSV Data, Web Application.

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 Abstract

This study investigated the impact of security on the academic achievement of school-going students in Haryana, India. The objective was to compare academic performance across varying levels of security and examine the relationship between security and academic success. The hypotheses proposed that there would be no significant differences or relationships between these variables. A descriptive survey design was used, focusing on 10th-grade students from four districts in Haryana. A sample of 800 students was selected through stratified random sampling. The Shah Security Insecurity Scale (2005) assessed perceived security, while academic achievement was measured using students' previous academic scores. Data were analyzed using descriptive and inferential statistics, including mean comparison and correlation analysis. The findings revealed that students with a higher sense of security demonstrated better academic performance, and a strong positive relationship existed between security and academic success. These results underline the critical role of a secure environment in fostering students' academic potential. The study recommends implementing robust security measures in schools, offering psychological support, and training teachers and parents to recognize and address insecurity.

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 Keywords

Security, Insecurity, Academic Achievement, School-Going Students, Education Policy

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper presents a real-time ECG-based heartbeat monitoring application designed to predict a patient's health condition remotely without the need for constant medical supervision. The system uses an ECG sensor to acquire the patient's heartbeat signals, which are then transmitted to a cloud database. A machine learning model processes this data to predict possible abnormalities and provides feedback through a mobile or web interface. This application enables users and caretakers to monitor heart health anytime, anywhere, improving early detection and reducing dependency on immediate clinical consultation.

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 Keywords

ECG, IoT, Heartbeat Monitoring, Health Prediction, Machine Learning, Remote Health Monitoring.

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 Abstract

Background and Objectives: Cryptographic hash functions are the linchpins of mobile services, blockchains, and many other technologies. Designing cryptographic hash functions has been approached by research communities from the physics, mathematics, computer science, and electrical engineering fields. The emergence of new hash functions, new hash constructions, and new requirements for application-specific hash functions, such as the ones of mobile services, have encouraged us to make a comparison of different hash functions and propose a new classification. Methods: Over 100 papers were surveyed and reviewed in detail. The research conducted in this paper has included four sections; article selection, detailed review of selected articles, data collection, and evaluation of results. Data were collected as new hash function properties, new hash function constructions, new hash function categories, and existing hash function attacks which are used to evaluate the results. Results: This paper surveys seven categories of hash functions including block cipher-based functions, algebraic-based functions, custom-designed functions, Memory-hard Functions (MHFs), Physical Unclonable Functions (PUFs), quantum hash functions and optical hash functions. To the best of our knowledge, the last four mentioned categories have not been sufficiently addressed in most existing surveys. Furthermore, this paper overviews hash-related adversaries and six hash construction variants. In addition, we employed the mentioned adversaries as evaluation criteria to illustrate how different categories of hash functions withstand the mentioned adversaries. Finally, the surveyed hash function categories were evaluated against mobile service requirements. Conclusion: In addition to new classification, our findings suggest using PUFs with polynomial-time error correction or possibly bitwise equivalents of algebraic structures that belongs to post-quantum cryptography as candidates to assist mobile service interaction requirements.

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 Keywords

Optical hash function Memory-hard function Bandwidth-hard function Physical unclonable function Quantum hash function Application-specific hash function

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Creative Commons Attribution 4.0 and The Open Definition