Volume 12 | Issue 5 |

 Abstract

The most prevalent eye condition affecting individuals with diabetes is known as diabetic retinopathy, a consequence of elevated glucose levels that damage the delicate blood vessels in the retina. About 80% of people with diabetes who have lived with the condition for a decade or more encounter progressive vision impairment. Establishing regular eye examinations as a primary concern for individuals managing diabetes is crucial, along with maintaining control over their blood sugar levels to prevent irreversible damage to the eyes. This study proposes the utilization of a Convolutional Neural Network-based Machine Learning approach to categorize eye images ranging from No DR to Proliferative DR, the advanced stage of diabetic retinopathy. The input for this system consists of color fundus photos.

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 Keywords

Diabetic Retinopathy, Machine Learning, Convolutional Neural Network , Raspberry Pi.

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 Abstract

The Car Rental Management System is a robust solution that is designed to streamline and enhance the operations of car rental businesses. This user-friendly system automates key aspects of the rental process, allowing for efficient vehicle and customer management. It facilitates seamless bookings by allowing customers to check vehicle availability and make reservations online. The system generates professional rental agreements and invoices, consideration factors such as rental duration, vehicle type, and additional services. Secure online payment processing ensures convenient transactions. Real-time vehicle tracking and maintenance scheduling contribute to optimal fleet management. Comprehensive reporting and analytics tools offer insights into business performance, revenue, and customer trends! The system priorities data security with user authentication protocols and roll-based access control. This car rental management system is an essential tool for any car rental business looking to improve their operations and customer service.

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 Keywords

Reservation, Analytics, Authentication

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Abstract Everybody wants to get a fair and charming skin. Now a day, acne, black heads, pimples are common among persons who suffer from it. According to ayurveda, skin problems are normally due to impurity in blood. Herbal face packs are used to simulate blood circulation, rejuvenate the muscles and help to maintain the elasticity of the skin and remove dirt from skin pores. The aim of this work is to formulate and evaluate an herbal face pack for glowing skin by using natural herbal ingredients. The natural herbal ingredients such as multani mitti, termeric, sandalwood, neem, orange peel, aloevera ,kaolin, liquorice, methyl paraben, gum tragacanth and rose water. In the present work, we formulated a herbal face pack which can be easily made with the easily available ingredients. After evaluation, we found good properties for the face packs, free from skin irritation and maintained its consistency even after stability storage conditions. Results of the study scientifically verified that herbal face pack having enough potential to give efficient glowing effect on skin. The overall study is useful to substantiate product claims due its useful benefits on the human beings.

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 Keywords

charming skin, acne , black heads, multani mitti, termeric, sandalwood, neem, orange peel , alovera , kaolin, liquorice, methyl paraben, gum tragacanth ,rose water., milk powder , Brighten skin .

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This abstract explores the influence of various parenting styles on a child's emotional and cognitive development. Parenting styles encompass a spectrum of approaches, including authoritarian, authoritative, permissive, and uninvolved. Each style varies in its levels of responsiveness and demandingness towards the child. Authoritarian parenting, characterized by strict rules and low responsiveness, often leads to emotional difficulties such as low self-esteem and anxiety, while hindering cognitive development by limiting exploration and independent thinking. Conversely, authoritative parenting, which balances clear expectations with warmth and support, fosters emotional well-being and promotes cognitive growth through encouragement of curiosity and problem-solving. Permissive parenting, marked by high responsiveness but low demandingness, may initially seem supportive but can result in issues like impulse control and academic challenges due to lack of structure. Uninvolved parenting, with low levels of both responsiveness and demandingness, can lead to emotional neglect and hinder cognitive development, resulting in academic and behavioral issues. Understanding these dynamics underscores the importance of promoting authoritative parenting practices to nurture positive parent-child relationships and foster optimal emotional and cognitive development in children.

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 Keywords

Parenting styles, Child development, Emotional development, Cognitive development, Authoritarian parenting, Authoritative parenting, Permissive parenting, Uninvolved parenting, Parent-child relationship.

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 Abstract

An agricultural nation like India depends heavily on agriculture for its growth. Approximately 70% of people in India are farmers. Agriculture has always been done by hand. It is imperative that agriculture follow the global trend toward new technology and innovations. because people are moving from rural to urban areas Agriculture has challenges. Modern technology updates daily, and agriculture must keep up with these changes as well. Smart agriculture can benefit greatly from the use of IoT. Hence the paper aims at making agriculture smart using automation and IoT technologies. IOT based Agriculture monitoring system makes use of wireless sensor networks that collects data from different sensors deployed at various nodes and sends it through the wireless protocols. It includes the humidity sensor, temperature sensor, soil moisture sensor and water level sensor. The features of this project include an android application which shows the live information about the temperature, humidity, soil moisture, water level. Secondly it includes smart irrigation with smart control and intelligent decision making based on accurate real time field data. Thirdly an automatic weather control system which controls the humidity and temperature of the field (e.g. green house).

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 Keywords

Internet-of-Things (IoT), Smart Agriculture, Smart Irrigation, Weather Control, Automation

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This paper presents the development of a web application that enables users to calculate the area of user-drawn polygons on a real-time interactive map. The application utilizes Leaflet, a popular JavaScript library for creating interactive maps, and Turf.js, a geospatial data analysis library. The paper discusses the functionalities of the application, the underlying libraries, the implementation details, and the considerations for real-time performance.

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 Keywords

Real-time area measurement, User-drawn polygons, Interactive maps, Leaflet, Turf.js, Web application development, Geospatial analysis

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In energy management systems, phase change materials (PCM) thermal energy storage (TES) is crucial. Due to its distinct thermal and physical characteristics, paraffin offers a wide range of uses as a PCM. This study is the first to synthesise nano titanium oxide in a tubular shape and in powder form. This paper investigates the properties of nanoparticle-enhanced phase change material (PCM) on solar still process and performance. Solar energy is a renewable energy source that can be utilized for different applications in day-to-day life. An effective method of storing thermal energy from solar is through the use of phase change materials PCMs with titanate. The future demand will be high and fresh water resources are getting depleted at a faster rate. Solar still is a very simple device for converting the available brackish water into potable water. The main drawback of passive type solar still is its lower efficiency and distillate output. The usage of NPCM enhances the still productivity especially after the sunset. The anatase sample obtained less intensive peak than rutile peak at approximate wavelength of 300 nm shown in UV spectrum. The bands around 734 cm-1 correspond to intrinsic stretching vibration of metal ion at the tetrahedral site. The formations of spindle like structure are shown in TEM image, sample gives the average diameter is 33 nm of TiO2 nanoparticles. The strong excitation peak centered at 298.96 nm indicates a violet emission band is occurred. Solar still with titanium oxide nanoparticles enhanced the yielded up to 4910 ml/m2/day. These results will benefit to the researcher can further investigate on solar power generation, water heating system, solar cookers, and solar still using NPCMs for commercial development.

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 Keywords

Phase change materials, Thermal energy storage, Paraffin, Nano-tubular zinc oxide

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 Abstract

The past eight years' experiences include fewer free allowances, better management of market-sensitive information, and a recognition that trading systems require adjustments that have implications for market participants and market confidence. Furthermore, the emerging international architecture includes separate emissions trading systems that serve different jurisdictions. Along with the carbon markets, these programs are supplemented by a variety of other types of policies. This is in stark contrast to the integrated global trading architecture envisioned by the Kyoto Protocol's designers 15 years ago, and it raises a slew of new questions. In this new architecture, jurisdictions with emissions trading must decide how, whether, and when to connect, with policymakers overseeing the process When linking with one another, policymakers in charge of carbon markets must consider how to measure the comparability of market efforts in comparison to a variety of other policy approaches. After five years of rapid growth, the total value of the global carbon market has plateaued at $142 billion. Due to a lack of regulatory clarity post-2012, the value of the primary Clean Development Mechanism (CDM) market fell by double digits for the third year in a row, finishing lower than it was in 2005, the first year of the Kyoto Protocol. The markets for Assigned Amount Units (AAU) and the United States Regional Greenhouse Gas Initiative (RGGI) also shrank. As these segments declined, the European Union Allowances (EUAs) market became more pronounced than ever, with the EU Emissions Trading Scheme (EU ETS) accounting for 97 percent of the carbon market, dwarfing the remaining segments... Carbon market growth came to a halt at an especially inconvenient time: 2010 was the hottest year on record, while emissions levels continued their seemingly inexorable rise. In the end, the year may be remembered most for the political opportunities that arose but did not materialize in the United States, Japan, Australia, and the Republic of Korea. While the international regulatory environment remains uncertain, national and local initiatives have picked up noticeably and may offer the potential to bridge the international regulatory gap collectively. These initiatives indicate that one way or another, solutions to the climate challenge will emerge.

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 Keywords

1. Indroduction of Carbon Market And Trading 2.Review of Literature 3. Management of Carbon Market and Trading In Kyoto Protocol 4.Research Methodology 5.Summary

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 Abstract

The Image Caption Generator's job is to give subtitles for the supplied photos. A natural language is created by extracting and transforming the semantic content of the image. Capturing entails a difficult procedure that combines picture processing and computer vision. People, animals, and things must all be recognized by the system, and relationships must be made between them.This paper aims to detect, recognize, and generate worthwhile captions for a given image using deep learning. A Regional Object Detector (RODe) is used for the detection, recognition, and generation of captions. The practice of creating textual descriptions of an image by utilizing computer vision and natural language processing methods is known as image captioning. For the newer models to perform better, we used deep learning methods for this purpose. But these models can't tell you which things in a picture are more essential than others, or they can't tell you why certain phrases were used in the captions.

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 Keywords

Deep learning, feature extraction, thresholding, image segment, image captioning

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 Abstract

Eugenics is a set of beliefs and practices aimed at improving the genetic quality of a human population. It gained significant attention and support in the late 19th and early 20th centuries but has since been discredited due to its unethical applications and association with human rights abuses. The legacy of eugenics serves as a cautionary tale about the dangers of pseudoscience and it has been become the most controversial concept in history and literature. For some it has been the part of enlightenment while for others, it is nothing but indoctrination. It has been referred a science as well as a myth, a fact as well as a conspiracy theory. When we read the literature on Eugenics, we came to know that Knowledge which has always been treated as a virtue in Socratic sense or "a torch bearer of light" in various narratives, the same knowledge can also be used as a tool of human enslavement through propaganda, manipulation , surveillance and control , exploitation and scientific racism. In Eugenics, the knowledge of genetics and biology has been misused to justify racist policies, claiming certain groups are superior or inferior based on false scientific narratives. This has led to discrimination, forced sterilization and even genocide. Although the concept originates in scientific world, but later on it has wider social implications. So it is the combinations of both biology (DNA) as well as ideology (ISA- Ideological state apparatus a term used by Althuser).

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 Keywords

Genomics, Genetic Engineering, selective breeding, social Darwinism, Race hygiene, Bio -politics, Genetic determinism

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