Volume 13 | Issue 4 |

 Abstract

The major purpose of this article is to examine and analyzes how the psychological profile of investors influences green bonds' demand, price, and performance in terms of sustainable development. A green bond is a specific form of financial instrument meant for financing projects that impact the environment positively, such as renewable energy, clean transport, and resource conservation. Because the global market is rising, it is increasingly becoming relevant for both issuers and investors to understand the psychological forces at work behind the investment decisions.

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 Keywords

Green Bond Investment, Sustainability, Investor Perception, Financial Decision-Making, Environmental Consciousness, Risk and Return Trade-off

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This research paper presents an innovative real-time anti-sleep alert and vehicle control system designed to enhance road safety. The system integrates a drowsiness detection module using an eye-blink sensor, a vibration sensor, and an Arduino microcontroller, along with an automatic engine lock mechanism to prevent accidents caused by driver fatigue. When signs of drowsiness are detected, an immediate alarm is triggered, followed by gradual engine control protocols to halt the vehicle safely if the driver remains unresponsive. Experimental results show high accuracy in drowsiness detection and reliable vehicle immobilization, offering a scalable, low-cost solution for reducing road accidents due to driver fatigue.

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 Keywords

Driver drowsiness detection, Eye blink sensor, Vehicle safety system, Anti-sleep alarm, Engine lock mechanism, Arduino-based system, Road accident prevention.

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The reproductive choices of Intellectual and Developmental Disabilities (IDD) are matter of concern, particularly as women with intellectual disability have often not been allowed to take decision regarding their reproduction. However equal accessibility to reproductive rights and related services remains a challenge for them in India. The paper seeks to explore the prevailing stereotypes and societal attitudes surrounding parenting, sexuality, and reproductive autonomy that lead to a higher likelihood of sterilization for women with disabilities compared to their non-disabled counterparts. Further it discusses the rights of disabled women in India with reference to their reproductive rights including the area of mental illness and their consent for termination of pregnancy, highlighting the legal, social and institutional challenges they encounter. Women with intellectual disabilities are more vulnerable and likely to experience infringement of their sexual and reproductive rights including pregnancy due to sexual offences, acquisition of sexual transmitted infections, forced sterilisation and unsafe abortions, poorly managed pregnancy, and unjust termination of parental right. The paper also examines the legal and practical dimensions of consent in reproductive decisions among women with IDD in India, highlighting the urgent need to respect their autonomy. Lastly the research aims to contribute to a policy framework that upholds their rights, dignity, and reproductive independence.

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Reproductive Rights, Disability, Consent; Mental Health, Medical Termination Pregnancy, Intellectual and Developmental Disability.

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 Abstract

Night awakening or Ratrijagaran is a phenomenon that involves extended wakefulness during nighttime hours, a practice influenced by cultural, social and individual factors. This research project delves into the multifaceted effects of Ratrijagaran on human health, behavioural and psychology, integrating insights from modern sleep science and Ayurvedic principles. The study examines the psychological consequences of Ratrijagaran including circadian rhythm disruption, alterations in cortisol levels and the onset of sleep disorders such as insomnia. Parallelly, the Ayurvedic perspective highlights Vataand Pitta imbalances caused by irregular sleep cycles, which are linked to mental fatigue, digestive issues and compromised immunity. To ground these theoretical insights, a comprehensive survey was conducted, encompassing questions about general sleep patterns, the frequency of Night awakening and it's perceived effects on physical and mental health. The data revealed trends in how nocturnal habits influence cognitive performance, emotional stability and overall well-being. This approach ensures a comprehensive understanding of both the short term and long term consequences of this practice. Through this project, we aim to provide insights into the coping mechanisms employed by individuals, ranging from meditation and structured sleep schedules to nutritional adjustments. By harmonizing scientific research and traditional wisdom, this study not only highlights the adverse effects of Ratrijagaran but also provides actionable recommendations for mitigating it's impact. The findings aim to foster awareness and encourage the adoption of balanced practices that support holistic health in a fast paced world.

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Ratrijagarana-Impact & Implication

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With growing concerns over environmental pollution and the depletion of fossil fuel resources, there has been an increasing shift towards alternative fuels. Compressed Natural Gas (CNG) stands as one of the most promising solutions due to its environmental benefits, lower cost, and abundant availability. This paper presents the design and fabrication of a CNG conversion kit for existing gasoline-powered motorcycles. The goal is to provide a cost-effective and sustainable alternative to gasoline-powered motorcycles, reducing both environmental impact and operational costs. The research discusses the key components, design considerations, installation process, and performance evaluation of the CNG kit, followed by an analysis of its impact on fuel efficiency, emissions, and overall functionality.

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 Keywords

CNG Bike, CNG, two wheeler, fuel, Natural gas, Research, CNG as Alternative Fuel.

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Creative Commons Attribution 4.0 and The Open Definition

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Jaypala (Croton tiglium Linn.), a traditional medicinal plant widely used in Ayurveda, holds significant therapeutic potential due to its strong purgative properties. Despite its benefits, the plant is classified as Upavisha (semi-poisonous) because of its inherent toxicity, primarily found in its seeds. This research explores the traditional and scientific approaches to detoxifying Jaypala seeds through Shodhana (purification) methods, which significantly reduce its harmful effects. The word Upavisha means nearer to Visha i.e. drugs which possess the same qualities of visha, but not that much potent. Jayapala (Croton tiglium) is one among the Upavisha and a well-known plant in Indian System of Medicine as certain Number of formulations include this drug as an ingredient after proper purification. Also it is one of the known purgative Drug in Ayurveda with huge therapeutic values. This review article includes overall information about the plant Jayapala, Its botanical description, Toxicological aspect, treatment medico legal aspects in both Ayurveda and Modern toxicology, Its Shodhana (purification) processes.

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Jaypala, Croton tiglium, Purgative, Crotin.

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 Abstract

Ab

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Ab

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Abstract I think therefore, I am, said, Rene Descartes, (1637) a French philosopher. As humans, we are thinking beings or we can consider ourselves thinking animals. Our living state is determined by the quality of our faculty of thinking. Our quality of life depends on our quality of thinking. A critical thinking skill is a skill which generates new methods, concepts, understandings, inventions and works of arts. This paper is to present a Critical Thinking a Key Skill for Higher Secondary School Students of Jharkhand on the basis of Gender, Location, School Board, Medium of Instruction and Type of Family. The population consists of Higher Secondary School Students in Ranchi, district of Jharkhand. The sample consisted of 1000 higher secondary school students. The investigator adapted the survey method. Self-constructed and validated tool to establish the validity and reliability of the tool. Mean, standard deviation and t-test was used to analyses the data to infer findings. The results revealed that there was a significant difference between mean scores of higher secondary school students of Jharkhand in their Critical Thinking Skills on the basis of gender, habitation, type of school whereas there was no significant difference between mean scores of higher secondary school students of Jharkhand in their Critical Thinking Skills on the basis type of board.

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Critical Thinking, Key to Outshine, Higher Secondary School, Jharkhand

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 Abstract

Smart Feast is an innovative AI-powered food waste management system designed to monitor and reduce food waste in real-time. Utilizing a Raspberry Pi as the central processing unit, the system integrates a variety of sensors, including the DHT11 for temperature and humidity monitoring, the MQ3 for detecting bad odors, and the LDR for light condition assessment. The ADC module ensures accurate sensor data collection. In the event of abnormal conditions, the GSM module sends timely alerts, while a buzzer provides an immediate auditory warning. The system employs a Random Forest machine learning algorithm to analyze sensor data and make intelligent decisions regarding the status of food waste.

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 Keywords

Food Quality Detection, Machine Learning (ML), Artificial Intelligence (AI), IoT-enabled Sensors, Predictive Analytics, Food Safety Management, Real-time Monitoring.

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Creative Commons Attribution 4.0 and The Open Definition

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Sign language is the primary mode of communication for speech and hearing-impaired individuals. However, understanding sign language is often challenging for those unfamiliar with it. This project aims to bridge the communication gap between sign language users and non-signers through an automated real-time sign language interpretation system. The proposed system utilizes Python programming with OpenCV for video processing and deep learning algorithms like YOLOv5 and Convolutional Neural Networks (CNN) for gesture recognition. The system captures real-time video input using a webcam, detects hand gestures, classifies them, and converts them into readable text instantly on the screen. This system can recognize various hand gestures and interpret alphabets or words based on the sign shown. The accurate and real-time translation of sign language will make communication easier and more effective for deaf and mute individuals, promoting inclusivity in daily life. Future enhancements may include voice output, support for multiple sign languages, and mobile-based applications.

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 Keywords

Sign Language Recognition, Real-Time Interpretation, Speech and Hearing Impaired, Python Programming, OpenCV, YOLOv5, Convolutional Neural Networks (CNN), Gesture Detection, Gesture Classification, Inclusive Communication, Hand Gesture Recognition, Automated Translation System

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