Volume 12 | Issue 5

 Abstract

A physical disability is a limitation on a person's physical functioning, mobility, dexterity or stamina. Family relationships maybe weakened by the added and unexpected physical, emotional and financial stress. Many factors influence the reaction of family including the emotional stability of each member, religious values and beliefs, socio economic status and the severity and the type of child's disability. In this context, it is proposed to study the perspectives of the parents towards their physically disabled children and the problems encountered by them in their course of life. The present study had examined the social profile of the parents of the physically challenged children in the selected study area and it analyzed the psychological perception of the parents of the physically challenged children towards their child's disability. The study had further analyzed the financial problems faced by the parents of the physically challenged children and it measured the health problems faced by the parents of the physically challenged children. The present research study adopts Descriptive Research Design. Both primary and secondary data were utilized for drawing conclusions from the study. Interview Schedule method was employed to extract the primary data from the selected sample respondents. The sampling area selected for the study was Guntur District of Andhra Pradesh. The sample size comprises 120 sample respondents. The nature of the sample was that of the parents of the physically challenged children. The study concludes that the parents of the physically challenged children are facing with social, psychological, financial and health problems and most of them are in the state of depression making them to rely upon medicines on day to day basis. The study further concludes that their financial position is average and they intend to seek financial help from the banking institutions.

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Key Words: Parents of disabled children, Socio-economic, Psychological, Health Problems

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Cloud computing is emerging as a new paradigm of large-scale distributed computing. In order to utilize the power of cloud computing completely, we need an efficient task scheduling algorithm. The traditional Min-Min algorithm is a simple, efficient algorithm that produces a better schedule that minimizes the total completion time of tasks than other algorithms in the literature [7]. However the biggest drawback of it is load imbalanced, which is one of the central issues for cloud providers. In this paper, an improved load balanced algorithm is introduced on the ground of Min-Min algorithm in order to reduce the makespan and increase the resource utilization (LBIMM). At the same time, Cloud providers offer computer resources to users on a pay-per-use base. In order to accommodate the demands of different users, they may offer different levels of quality for services. Then the cost per resource unit depends on the services selected by the user. In return, the user receives guarantees regarding the provided resources. To observe the promised guarantees, user-priority was considered in our proposed PA-LBIMM so that user's demand could be satisfied more completely. At last, the introduced algorithm is simulated using Matlab toolbox. The simulation results show that the improved algorithm can lead to significant performance gain and achieve over 20% improvement on both VIP user satisfaction and resource utilization ratio.

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Cloud Computing; User-priority Aware; Load Balance; Makespan; Min-Min Algorithm; Cloud Task Scheduling

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This research paper aims to explore the correlations between Spotify usage habits, such as playlist curation, listening preferences, and music genres, and various aspects of student academic performance, study habits, and overall learning experiences. Despite Spotify's widespread popularity worldwide, little attention has been given to user behaviour within these platforms. Understanding the influence of digital platforms and streaming services on broader societal domains, particularly education, has become increasingly crucial as their usage grows. Our analysis sheds light on the peak times of day for Spotify usage among users, and we also investigate the duration and intervals between consecutive user sessions across different devices, offering insights into device-switching behaviour. Notably, this study marks the first comprehensive examination of such behaviour among a large user base. The empirical examination of how Spotify features impact student learning within higher education institutions in the Pune region forms a central focus of this paper. The findings provide valuable insights for educators, policymakers, and platform developers, enhancing our comprehension of the intricate relationship between technology, music consumption, and educational outcomes

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Keywords: Spotify, student learning, higher education, academic performance, music consumption, Pune region.

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Abstract: This research paper introduces a novel application for predicting plant diseases and curing the disease by using Convolutional Neural Networks (CNNs). Separate CNN models were trained on labeled datasets like cotton and potato leaves, each associated with their respective diseases. The primary goal is to employ of two standard CNN systems to detect various diseases in cotton and potato plants. Given India's heavy reliance on agriculture, this innovation is crucial to address challenges faced by the sector, including technological limitations, limited access to credit and markets, and the impact of climate change. this research paper are susceptible to various diseases that can impede their growth and result in substantial yield losses. The conventional disease detection methods involve manual inspection and disease prognosis, which are time consuming and less accurate. The research show- cases the effectiveness of the automated plant disease detection and curing system, with two best models achieving impressive accuracies of 97.10% and 96.94% . These results offer promising insights for potential applications in crop management, benefiting the agricultural sector and contributing to increased productivity and profitability.

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CNN, Deep learning, ResNet50, VGG16 , Image classification, Transfer learning.

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Fast dissolving tablets (FDTs) gained significant attention in the pharmaceutical industry due to their numerous advantage such as rapid disintegration, ease of administration, enhanced patient compliance, and suitability for pediatric and geriatric populations. This comprehensive review explores various aspects of FDTs including formulation strategies, manufacturing techniques, evaluation parameters, and recent advancement. Different methods employed for the preparation of FDTs, including direct compression, freeze-drying, and sublimation, are discussed along with their advantages and limitations. The key factors influencing the disintegration and dissolution of FDTs such as choice of excipients, superdisintegrants and disintegration agents are highlighted. Furthermore, recent innovations in the field such as orally disintegrating films and 3D printing for FDT manufacturing are also discussed. Additionally challenges associated with FDT formulation and regulatory considerations are addressed. This review aims to provide valuable insights for researchers and pharmaceutical professionals involved in the development of fast dissolving tablets.

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Fast dissolving tablet, oral route, superdisintegrants

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Real-time body pose estimation stands as a pivotal component in computer vision, finding applications across an array of domains. This study delves into the amalgamation of OpenCV and MediaPipe, two robust libraries, to accomplish precise and efficient human body pose estimation in real-time. OpenCV, renowned for its computer vision functionalities, joins forces with MediaPipe, which furnishes pre-trained machine learning models explicitly crafted for keypoint estimation. This collaboration enables the accurate detection and continual tracking of human body landmarks.The methodology of this study centers on harnessing OpenCV's capabilities for managing video input and employing MediaPipe's pose estimation models for the identification of anatomical keypoints. OpenCV takes charge of vital video stream manipulations such as frame resizing, color space conversions, and noise reduction, optimizing the input data for MediaPipe's specialized models. Subsequently, MediaPipe adeptly pinpoints and tracks key body joints, empowering the real-time estimation of intricate human poses within live video streams or camera feeds. A comprehensive evaluation of this system encompasses scrutiny of its accuracy, real-time performance, and robustness under diverse conditions, encompassing scenarios of occlusion and varying environmental settings. The system's efficacy in detecting and persistently tracking keypoints, coupled with its real-time capabilities, unveils its potential in multifaceted applications such as sports analytics, healthcare, human-computer interaction, and beyond. The fusion of OpenCV and MediaPipe encapsulates a promising trajectory for real-time body pose estimation, laying a sturdy framework for precise human pose analysis. The study's findings contribute to propelling advancements in the realm of computer vision by furnishing a dependable and efficient solution for real-time pose estimation. These advancements hold the promise of impacting various industries and domains, hinting at significant strides in real-time pose estimation technology.

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OpenCV, Computer Vision, Pose Estimation, Mediapipe

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This study investigates the correlation between green marketing strategies employed by companies and their influence on customers' purchasing decisions, as well as examines the underlying motivations behind the use of sustainable packaging. The research employs a quantitative approach, utilizing both primary and secondary data sources. A structured questionnaire is administered to 105 respondents, selected through convenience sampling. The questionnaire gathers insights on respondents' perceptions of green marketing strategies, sustainable packaging practices, and their purchasing behavior. Additionally, secondary data from relevant journals and research papers are utilized to enrich the analysis. Data analysis is conducted using Microsoft Excel, encompassing descriptive statistics, correlation analysis, and potentially regression analysis. Ethical considerations, including respondent confidentiality and informed consent, are upheld throughout the research process. The findings of this study contribute to understanding the relationship between green marketing strategies, sustainable packaging, and consumer behavior, with implications for businesses aiming to adopt environmentally conscious practices.

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Green Marketing and Sustainable Packaging - Can it Lead to Consumer Consciousness

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In today's fast-paced financial markets, timely access to relevant news is crucial for informed decision-making. As people invest time and effort in buying real estate, mutual funds, bonds, and more. Before investing, we search for a suitable banking partner. For long-term investments, we research which banks are performing well minus scams or frauds, and offer reasonable interest rates and returns. So we need to stay updated with financial and the current market .To address these challenges, we propose a chatbot that could provide you with all the information and news related to finance and the current market.

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LLM, LLAMA, Qdrant Vector Storage

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Unused disposal is a hard work for Economically developing countries alike. Biggest problem is that the public garbage cans often overflow well before they are due to be emptied again. This results in elevated levels of smokes, beetles, and houseflies produced by waste management which can cause some serious health disease. A comprehensive analysis is conducted in the latest research, focusing on the integration of machine learning techniques in enhancing smart waste management practices. With this technology, the system may optimize waste disposal by selecting the most efficient route using machine learning. ML-IoT-based design includes equipment that measures weight of rubbish adjusted to network environment as well as containing information about waste management Comparing these studies should give readers a complete understanding of the smart waste management domain

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Smart Waste Management, Intelligent Waste Management, IoT, Smart Bin

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Lock down is an emergency situation imposed by Government authorities where people are temporarily prevented from entering or leaving a restricted area. Generally the condition is imposed by the Government during the outbreak of epidemic diseases in which people are required to stay in their homes and limit their entry from homes. But an individual employed in various occupational fields such as health care, public works, law and enforcement , food supply are continue to work outside the home during lockdown. This situation is faced by the whole world for a period of 2 months. Lockdown is a difficult period for children with special needs as most of them cannot communicate even with their parents, leading to conflict within the family. The lockdown is a tricky time for parents of children with special needs as they are with various responsibilities while working from home. The parents should use emotional intelligence skills to understand and manage their children. They should try to involve their kids in various daily tasks which are easy to do and kids can easily understand them through visual prompts, like dusting, vegetable washing, filling water bottles, vegetable segregation, and various small role-playing games. Doctors said that Parents should ensure that children with special needs should avoid excessive use of the phone and television as it is associated with a decrease in a neurotransmitter which leads to abnormal behaviour. Sometimes the Parents can use video calls with children for short consultations with their special educators and therapists. So the present paper attempt to analyse the difficulties faced by the children with special needs during the lock down and to find out the emotional intelligence skills used by the parents to engage them.

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Lockdown, children with special needs, Emotional Intelligence

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Compared to other home automation systems our system is capable to switch on or switch off light, fan, AC or other appliances via text message using global system for mobile communication and PIR motion sensor, which will benefit us to save electricity if we forgot to switch off the appliances while leaving our home by identifying motion. The concept of serial communication and AT commands has been applied towards development of the smart GSM based Home Automation system. Microcontroller ESP8266 and PIR Motion Sensor will be used to control the whole system. Our system will benefit to handicapped persons and elderly persons.

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Microcontroller ESP8266, GSM Module, PIR Motion Sensor, Relay Module

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- The Real Time Environmental Parameter Monitoring System using NodeMCU and Raspberry Pi is a cutting-edge project designed to provide a comprehensive solution for monitoring various environmental parameters in real-time. With the increasing concerns about climate change and environmental degradation, there is a growing need for efficient systems that can continuously monitor key environmental indicators to ensure the well-being of our planet and its inhabitants

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Raspberry Pi, Enviroment Monitoring, Monitoring system

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This paper examines the implementation of the SAP MM module in managing material resources within an organization. The study details the enterprise structure, purchasing, inventory management, and master data management, alongside an analysis of the advantages and disadvantages of using SAP ERP systems compared to other tools.

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SAP MM, Material Management, Warehouse, Stock, Enventory, Bill Box, Check list.

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This seminal research paper introduces an innovative Decentralized Messaging Platform (DMP), heralding a paradigm shift in the realm of online communication. By marrying blockchain technology with peer-topeer networks, the DMP guarantees end-to-end encryption, heralding a new era of secure and confidential messaging platforms. Through decentralizing the infrastructure, the application nullifies the risks associated with centralization, fortifying security and robustness against potential network disruptions. Emphasizing user sovereignty, individuals retain full control over their data, fostering a climate of trust and anonymity. This foundational paper meticulously delves into the technical nuances of DMP's creation, including encryption methodologies, blockchain fusion, and user interface design.

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Surveillance Prevention, Automated Contracts, Blockchain Technology, Solidity Programming, Ethereum Integration

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Agriculture is a cornerstone of India's economy, employing a vast portion of the population. To meet increasing food demands, it is essential to enhance farming practices. Advanced technologies like machine learning (ML) and deep learning (DL) offer the potential to significantly boost agricultural productivity through early crop disease detection and optimized resource use. Our project, AgriSmartHub, utilizes ML techniques such as KNN, SVM, and DL methods like CNN to detect plant diseases swiftly and accurately. By training these models on extensive datasets, they effectively identify patterns and predict diseases. Specifically, our DL system automates the scanning of leaf images to identify diseases based on visual symptoms, assesses disease severity, and recommends suitable fertilizer quantities. A user-friendly interface allows farmers to easily capture leaf images and receive insightful, tailored suggestions, aiding in improved crop production and quality. AgriSmartHub empowers farmers to make informed decisions and optimize yields.

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AgriSmartHub, nlp, ml, convolutional neural network, artificial intelligence, crop, disease, fertilizers, machine learning, natural language processing , crop recommendation, Agriculture, farming.

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Compared to other temperature monitoring systems, our temperature data logger is capable of continuously monitoring temperature and humidity while timestamping the readings. Upon receiving a message through GSM, the system generates a log file in formats such as xls/csv/txt. This proposed system aims to ensure the safe storage of temperature-sensitive medication. The data can be easily accessed and analyzed, enabling healthcare professionals to verify that medications are stored within the recommended temperature range, thereby maintaining their efficiency and safety.

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Arduino Uno, GSM, Temperature Sensor, SD Card, RTC, Humidity Sensor

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Pravahika has been described as a disease of Annavaha and Purishvaha strotas. It is described with synonyms like Purisha kshaya, Nischaraka or Nissaraka, Bhimbisi etc. Due to unhygienic food and lifestyle etc. the Udakvaha Strotas along with KledakaKapha and Apana Vayu and Samana Vayu gets vitiated and causes Pravahika Vyadhi Pravahika can be correlated with Amoebic Dysentery which is caused by Protozoan Entamoeba Histolytica cyst. Aim: to evaluate the efficacy of Nagaradhya churna in Pravahika. Methodology: It is a clinical study with pre and post-test design where in 20 patients of either sex diagnosed as Pravahika w.s.r to type 2 Amoebic Dysentery were selected. All the patents were given Nagaradhya churna 6gms twice daily before food with Madhu, Tandulodaka for 14 days. Results: Nagaradya Churna is statistically highly significant on all parameters of Pravahika with an average percentage of improvement of 48.81%. Hence we conclude that effect observed with Nagaradya Churna is statistically significant in the management of Pravahika.

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Pravahika, Nagaradhya churna, Amoebic Dysentery

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The study aims to explore the consumer buying behavior of youth in India towards organized retail stores. The research investigates various factors influencing the purchasing decisions of youth consumers, including store attributes, product preferences, pricing strategies, and promotional activities. The study employs a mixed-method approach, combining qualitative and quantitative methods to gather data from a sample of youth consumers. Through surveys, interviews, and observations, the research seeks to provide insights into the shopping habits, preferences, and perceptions of youth towards organized retail stores. The findings of the study are expected to contribute to the understanding of youth consumer behavior in the context of organized retail in India, offering valuable implications for retail marketers and policymakers. It investigates factors influencing their purchasing decisions, such as store attributes, product preferences, pricing, and promotions. Using a mixed-method approach, including surveys, interviews, and observations, the research aims to provide insights into youth shopping habits and perceptions. Results are expected to benefit retail marketers and policymakers. The research aims to understand the shopping habits and views of young consumers. The findings are expected to be useful for retailers and policymakers.

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Youth,Organized retail stores,Store attributes,Product preference, Pricing strategies,Promotional activities,Shopping habits ,Retail marketing

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A hybrid vehicle combines two or more distinct power sources to propel the vehicle, typically an Internal Combustion Engine (ICE) and an electric motor. This combination aims to fuel efficiency and reduce emissions compared to conventional vehicles solely reliant on ICEs. Hybrid vehicles often employ regenerative braking and advanced energy management systems to store and reuse energy, enhancing overall efficiency. As technology advances, hybrid vehicles continue to evolve, offering increasingly sustainable transportation solutions with improved performance and reduced environmental impact. While this offer Using the electric vehicle benefits like reduced emissions and challenges include battery cost and capacity, thermal management. The fabrication process would involve integrating a lithium- ion battery pack, an electric motor, and a control system into an existing vehicle framework. The Internal Combustion Engine would be retained to provide additional power and extend the vehicle's range.

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Hybrid powertrain, Internal combustion engine (ICE), Electric motor, Regenerative braking, Energy management system

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Over the years marriage has been developed as one of the most important social institutions, marriage forms the basis of the family system and is indeed combined as one of the important foundation stones in the development of society, culture, economics, and politics. For affluence and powerful sections of society marital union are utilized for securing economic and political benefits. Undoubtedly, marriage throughout civilization has always been used as one of the important tools of partnerships. For the rich privileged and ruling classes partnership as a means of marriage served to promote their economic and political interest for the poorer and weaker sections, marriage serves social and economic purposes. The age of marriage is preferred to change over time and depends on the prevalent social norms. Though puberty is always seen as a biological indicator for determining marital age. Religious sanctions and societal norms always had an upper hand in deciding at which age the girl and boy should form a union of marriage. Thus there is no uniformity related to the age of marriage across the times of civilization and the continents. In the modern era due to the development of secular humanistic jurisprudence and through international understandings such as the 'convention of the right of child', Any human being below 18 is considered a child. Internationally this convention found wide acceptance to the extent that around 194 countries ratified these conventions and converted these international norms into domestic policy. Therefore now it is internationally understood that any individual below the age of 18 years of age is a child and if any such individual gets engaged into a marital union before the age of 18 then such marriage will be called child marriage. However, these modern norms though scientifically established, people find difficult to follow because of several historical, cultural, and religious research. especially putting a girl child into marriage before the age of 18 is one of the most prevalent instances we see in several Asia, Southeast Asia, the Middle- East, South America, and even in some countries of Europe. However, governments across the globe are more or less autonomous and committed to changing the old practice of marrying children before the age of 18. In India, any marriage that is done between a girl below 18 years and a boy below 21 years of age is considered void and people to promote such marriage including parents are liable for criminal action. Prevalence of the Child Marriage and Prevention Act puts responsibility on the government to discourage and stop child marriages. Needless to say, the practice of child marriage is prevalent more in the rural, backward, and socially and economically vulnerable sections. However, even some socially prominent and economically well-off people in the name of customs and traditions, are seen encouraging the The practice of child marriage, early marriage, especially the marriage conducted during childhood puts a great physical, psychological, and financial burden on girls and boys both. The position of a girl especially becomes vulnerable because of the aided physical and psychological pressure, especially during the birth of a child. High instances of maternal mortality, low birth fetus, infant mortality, and other medical complications put life-threatening consequences on the mother, who is herself a child, and also the financial burden of dealing with a medical complication on already empowering her parents. This paper attempts to analyze the reason for marriage and its wide negative impact on participating children and families also it attempts to illuminate various measures taken by the state government and the success stories related to it. When India is at creating a volume of 5 trillion economy, such a gigantic task cannot be fulfilled without the participation of a healthy and gender-inclusive workforce. This paper also discusses long-term social and economic benefits that couldn't be harnessed by the country by preventing child marriage.

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 Keywords

Marriage, Socio-economic, Global, Cultural and Religion

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