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Volume 12 | Issue 9 |

Volume 12 | Issue 9 | Month  
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  Paper Title: RAJNITI MEIN NAARI KI BHAGIDARI

  Author Name(s): Babita Nagar, Prof. Sunita Meena

  Published Paper ID: - IJCRT2409644

  Register Paper ID - 269782

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2409644 and DOI :

  Author Country : Indian Author, India, 301604 , ALWAR, 301604 , | Research Area: Arts All

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2409644
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Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2409644.pdf

  Your Paper Publication Details:

  Title: RAJNITI MEIN NAARI KI BHAGIDARI

 DOI (Digital Object Identifier) :

 Pubished in Volume: 12  | Issue: 9  | Year: September 2024

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Arts All

 Author type: Indian Author

 Pubished in Volume: 12

 Issue: 9

 Pages: f775-f778

 Year: September 2024

 Downloads: 230

  E-ISSN Number: 2320-2882

 Abstract

MENTIONED IN CHAPTED


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NAARI, POLITICS, REPRESENTATIVE ETC.

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  Paper Title: Document Verification And Management System Using Blockchain

  Author Name(s): Gaytri Kumari, Prajwalita Dongre, Tiya Mukherjee, Pandey Nidhi Mataprasad

  Published Paper ID: - IJCRT2409643

  Register Paper ID - 269802

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2409643 and DOI :

  Author Country : Indian Author, India, 411048 , Pune, 411048 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2409643
Published Paper PDF: download.php?file=IJCRT2409643
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2409643.pdf

  Your Paper Publication Details:

  Title: DOCUMENT VERIFICATION AND MANAGEMENT SYSTEM USING BLOCKCHAIN

 DOI (Digital Object Identifier) :

 Pubished in Volume: 12  | Issue: 9  | Year: September 2024

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 12

 Issue: 9

 Pages: f770-f774

 Year: September 2024

 Downloads: 240

  E-ISSN Number: 2320-2882

 Abstract

Documents and certificates are crucial for proving professional achievements, making them essential for career progression. The current system for issuing and verifying these documents is often slow and labour-intensive. Moreover, paper-based documents are susceptible to forgery, resulting in various educational frauds. This project aims to resolve these issues by leveraging blockchain technology. Blockchain extends beyond cryptocurrencies and has significant applications in various fields, including healthcare, supply chain management, and finance. In education, blockchain can transform the traditional method of issuing and verifying certificates. This project will illustrate how professional certificates can be authenticated using the Ethereum platform and smart contracts. The process includes converting traditional paper certificates into digital formats upon request, applying cryptographic hash functions to generate hash values for the digital certificates, storing the hash values on the blockchain, creating a unique certificate ID and transaction hash value, and utilizing the unique certificate ID and transaction hash value for certificate verification through a unified platform. This approach includes streamlining the certificate issuance, storage and verification process, increasing security by preventing forgery and unauthorized modifications, providing a clear and immutable record of certifications, and facilitating easy access and verification by third parties.


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 Keywords

Blockchain, Document, Storage, Security, Ethereum, Hash Function.

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  Paper Title: Study To Assess Knowledge Of Needle Stick Injury Among Healthcare Workers

  Author Name(s): Dr.Parmila Malik, Dr.Sandeep Tripathi, Dr.Dushyant S.Chauhan, Dr.VG Veeresh, Dr.Mahendra Kumar Verma

  Published Paper ID: - IJCRT2409642

  Register Paper ID - 269779

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2409642 and DOI :

  Author Country : Indian Author, India, 132103 , Panipat, 132103 , | Research Area: Humanities All

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2409642
Published Paper PDF: download.php?file=IJCRT2409642
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2409642.pdf

  Your Paper Publication Details:

  Title: STUDY TO ASSESS KNOWLEDGE OF NEEDLE STICK INJURY AMONG HEALTHCARE WORKERS

 DOI (Digital Object Identifier) :

 Pubished in Volume: 12  | Issue: 9  | Year: September 2024

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Humanities All

 Author type: Indian Author

 Pubished in Volume: 12

 Issue: 9

 Pages: f753-f769

 Year: September 2024

 Downloads: 324

  E-ISSN Number: 2320-2882

 Abstract

ABSTRACT: Laboratory technicians and other workers are at high risk of infection because of their daily exposure to micro-organisms. Needle stick injuries (NSIs) are a critical occupational hazard for healthcare workers, carrying the risk of transmitting blood borne pathogens such as HIV, hepatitis B, and hepatitis C. Despite established guidelines and preventive measures, the occurrence of NSIs remains a significant concern. This study seeks to evaluate the knowledge of healthcare workers regarding needle stick injuries, aiming to identify areas of strength and weakness in their understanding.


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  Paper Title: Enhancing Road Safety and Accident Detection Using YOLO

  Author Name(s): Radha Shirbhate, Omkar Nikat, Sakshi Borude, Shyam Patil

  Published Paper ID: - IJCRT2409641

  Register Paper ID - 269761

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2409641 and DOI :

  Author Country : Indian Author, India, 412207 , Pune, 412207 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2409641
Published Paper PDF: download.php?file=IJCRT2409641
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2409641.pdf

  Your Paper Publication Details:

  Title: ENHANCING ROAD SAFETY AND ACCIDENT DETECTION USING YOLO

 DOI (Digital Object Identifier) :

 Pubished in Volume: 12  | Issue: 9  | Year: September 2024

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 12

 Issue: 9

 Pages: f747-f752

 Year: September 2024

 Downloads: 306

  E-ISSN Number: 2320-2882

 Abstract

Speed is one of the causes of car accidents. If emergency services receive emergency information and arrive at the scene in time, many people will be saved. This project includes helmet detection and sending challan systems. In recent years, motorcycle accidents have increased in some countries because drivers around the world often ignore safety precautions, which leads to accidents and deaths. Drivers who do not wear helmets are at the greatest risk of brain injuries; There is a law in India that requires only bike riders to wear helmets, not passengers. Anyone riding a motorcycle without a helmet can have an accident or suffer a head injury. It should be mandatory for everyone to wear a helmet; In this "automatic helmet inspection and penalty", passengers without helmets are detected and the license plate number of the motorcycle is recorded. A penalty message is sent to the person not wearing a helmet. This is because more and more people are now riding motorcycles on the highway, causing more accidents and injuries. Cyclists not wearing protective helmets are one of the main causes of accidents. You can check if they are currently wearing helmets by looking at CCTV footage from surrounding buildings or walkways. It is important for people to interact with one of these systems to see people who are not wearing helmets. The system classifies the features of products based on the information collected about them. The system now uses deep learning for the you-will-only-see-once (YOLO)-Darknet policy to detect the helmet.


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 Keywords

Helmet detection; Image processing, YOLO, Database, CNN.

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  Paper Title: ENHANCING STOCK MARKET FORECAST ACCURACY WITH INVESTOR SENTIMENT AND ADVANCED OPTIMIZED LSTM

  Author Name(s): K. Kiruthika, E.S. Samundeeswari

  Published Paper ID: - IJCRT2409640

  Register Paper ID - 269715

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2409640 and DOI :

  Author Country : Indian Author, India, 641016 , Coimbatore, 641016 , | Research Area: Science All

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2409640
Published Paper PDF: download.php?file=IJCRT2409640
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2409640.pdf

  Your Paper Publication Details:

  Title: ENHANCING STOCK MARKET FORECAST ACCURACY WITH INVESTOR SENTIMENT AND ADVANCED OPTIMIZED LSTM

 DOI (Digital Object Identifier) :

 Pubished in Volume: 12  | Issue: 9  | Year: September 2024

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Science All

 Author type: Indian Author

 Pubished in Volume: 12

 Issue: 9

 Pages: f728-f746

 Year: September 2024

 Downloads: 285

  E-ISSN Number: 2320-2882

 Abstract

A key challenge in the field of economics is forecasting the prices of stocks. This is made even more complex due to the unpredictable and turbulent nature of the stock market, making it one of the most challenging areas to accurately predict. Our proposal is to create a model for stock market forecasting that considers the sentiments of investors, employing deep learning to address these complexities. The present proposed work suggests including investors' emotion into stock forecasting, which could greatly enhance the reliability of the model's forecasts. Then, use of long short-term memory (LSTM) because of its benefits for using its memory function to analyses correlations between time series data. The findings of the experiment demonstrate that the optimized LSTM model may decrease time delay in addition to increasing prediction accuracy.


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 Keywords

Hyperparameter optimization, long-short term memory, salp swarm optimization, sentiment analysis, stock market price prediction

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  Paper Title: CNN-Based Deep Learning for Skin Disease Classification: A Comparative Study on Acne, Atopic Dermatitis, and Basal Cell Carcinoma Datasets

  Author Name(s): Siyaram Sharma

  Published Paper ID: - IJCRT2409639

  Register Paper ID - 269800

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2409639 and DOI : http://doi.one/10.1729/Journal.41674

  Author Country : Indian Author, India, 737136 , Rangpo, 737136 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2409639
Published Paper PDF: download.php?file=IJCRT2409639
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2409639.pdf

  Your Paper Publication Details:

  Title: CNN-BASED DEEP LEARNING FOR SKIN DISEASE CLASSIFICATION: A COMPARATIVE STUDY ON ACNE, ATOPIC DERMATITIS, AND BASAL CELL CARCINOMA DATASETS

 DOI (Digital Object Identifier) : http://doi.one/10.1729/Journal.41674

 Pubished in Volume: 12  | Issue: 9  | Year: September 2024

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 12

 Issue: 9

 Pages: f717-f727

 Year: September 2024

 Downloads: 276

  E-ISSN Number: 2320-2882

 Abstract

Skin Disease pose significant challenges in healthcare, emphasizing the need for efficient and accurate diagnostic tools. This project explores the application of deep learning, specifically Convolutional Neural Networks (CNNs), for automated skin disease detection. HAM10000 dataset sourced from Kaggle will be utilized to train and evaluate the model. To enhance feature extraction, a series of image processing techniques, including magnification and filtering, will be applied. This project contributes to the growing body of research in medical image analysis, emphasizing the significance of deep learning in dermatological diagnostics.


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 Keywords

Deep Learning, CNN Architecture, Skin Disease Classification, Image Processing, HAM10000 Datasets

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  Paper Title: Incorporation of Global Practices in Vocational Education

  Author Name(s): Deepak Kaushal

  Published Paper ID: - IJCRT2409638

  Register Paper ID - 251311

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2409638 and DOI :

  Author Country : Indian Author, India, 450001 , KHANDWA, 450001 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2409638
Published Paper PDF: download.php?file=IJCRT2409638
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2409638.pdf

  Your Paper Publication Details:

  Title: INCORPORATION OF GLOBAL PRACTICES IN VOCATIONAL EDUCATION

 DOI (Digital Object Identifier) :

 Pubished in Volume: 12  | Issue: 9  | Year: September 2024

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 12

 Issue: 9

 Pages: f709-f716

 Year: September 2024

 Downloads: 291

  E-ISSN Number: 2320-2882

 Abstract

Vocational education focuses on providing practical skills and training for specific careers or trades. It often emphasizes hands-on learning, apprenticeships, and technical skills relevant to various industries such as healthcare, automotive, construction, and information technology. Vocational education programs can vary in length and intensity, offering certificates, diplomas, or associate degrees, preparing individuals for entry-level positions or further education in their chosen field. Vocational education is designed to prepare individuals for specific occupations or trades, providing them with the skills and knowledge needed to enter the workforce directly. Vocational education programs often offer flexible scheduling options, allowing individuals to pursue education while working or managing other responsibilities. Many vocational education institutions collaborate closely with industry partners to ensure that their programs align with current workforce needs and trends, providing students with relevant training and skills. Incorporating global best practices and perspectives in vocational education involves Research and Benchmarking, Stakeholder Engagement, Curriculum Development, Teacher Training and Professional Development, Industry Partnerships, Technology Integration, International Collaboration, and Quality Assurance.


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 Keywords

Vocational Education, Best practice, Industry, Technology, Collaboration, Quality assurance.

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  Paper Title: Free Energy Generator: An Analysis of Concepts and Feasibility

  Author Name(s): Mr.Mahendra B Khatate, Mr.Husem S Momin, Mr. Dnyaneshwar B Daspute, Mr.Eshwar S Korade

  Published Paper ID: - IJCRT2409637

  Register Paper ID - 269764

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2409637 and DOI :

  Author Country : Indian Author, India, 410504 , Pune, 410504 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2409637
Published Paper PDF: download.php?file=IJCRT2409637
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2409637.pdf

  Your Paper Publication Details:

  Title: FREE ENERGY GENERATOR: AN ANALYSIS OF CONCEPTS AND FEASIBILITY

 DOI (Digital Object Identifier) :

 Pubished in Volume: 12  | Issue: 9  | Year: September 2024

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 12

 Issue: 9

 Pages: f705-f708

 Year: September 2024

 Downloads: 373

  E-ISSN Number: 2320-2882

 Abstract

This paper explores the conceptual frameworks and feasibility of free energy generators, devices purported to harness limitless energy from external sources with minimal input. While "free energy" has been a topic of intrigue, particularly in the context of renewable energy and alternative systems, many concepts in this domain tread into speculative or pseudoscientific areas. This research seeks to clarify the distinctions between scientifically plausible systems and speculative designs. By reviewing key developments in zero-point energy, magnetic motors, and other claimed free energy devices, the paper outlines the scientific challenges and potential breakthroughs required to validate the technology. It concludes by offering a critical evaluation of the potential applications and limitations of free energy generation within the context of established physical laws, specifically the first and second laws of thermodynamics.


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 Keywords

Free energy, zero-point energy, perpetual motion, thermodynamics, renewable energy, over-unity devices, magnetic motors, quantum vacuum

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  Paper Title: A STUDY OF PERCEPTION OF ONLINE SHOPPING BEHAVIOUR OF COLLEGE GOING YOUNG ADULTS IN RADHAPURAM TALUK

  Author Name(s): I THANGARAJ

  Published Paper ID: - IJCRT2409636

  Register Paper ID - 269006

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2409636 and DOI :

  Author Country : Indian Author, India, 627105 , Kavalkinaru, 627105 , | Research Area: Commerce and Management, MBA All Branch

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2409636
Published Paper PDF: download.php?file=IJCRT2409636
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2409636.pdf

  Your Paper Publication Details:

  Title: A STUDY OF PERCEPTION OF ONLINE SHOPPING BEHAVIOUR OF COLLEGE GOING YOUNG ADULTS IN RADHAPURAM TALUK

 DOI (Digital Object Identifier) :

 Pubished in Volume: 12  | Issue: 9  | Year: September 2024

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Commerce and Management, MBA All Branch

 Author type: Indian Author

 Pubished in Volume: 12

 Issue: 9

 Pages: f700-f704

 Year: September 2024

 Downloads: 272

  E-ISSN Number: 2320-2882

 Abstract

ABSTRACT Understanding the perception of college going young adults towards online shopping is the utmost aspect for any business to grow. The type of study adopted is empirical in nature. The respondents mainly consists of college going young adults who are presently living in Radhapuram Taluk. The sample size that is taken here for the study is 200 which comprises of both males and females of age ranging from 18 years to 21 years. Primary Data was collected by administering a structured questionnaire by applying convenience sampling method based on judgement. Secondary data was collected through the use of published journal, articles by authors who highlighted their views about this topic and reports published in the newspapers. The important perception towards online shopping among the male respondents are price comparison is easier and good packaging and among the female respondents, price comparison is easier and good packaging. It is found that gender wise there is a significant difference in the perception towards online shopping have been noticed in the case of convenience. KEY WORDS: Perception, Online Shopping and College Going Young Adults


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Perception, Online Shopping and College Going Young Adults

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  Paper Title: Cefpodoxime proxetil: Antibacterial activity ,Pharmacokinetic Properties and Therapeutic Efficacy

  Author Name(s): O.Sujana

  Published Paper ID: - IJCRT2409635

  Register Paper ID - 269741

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2409635 and DOI :

  Author Country : Indian Author, India, 502032 , Hyderabad, 502032 , | Research Area: Chemistry All

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2409635
Published Paper PDF: download.php?file=IJCRT2409635
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2409635.pdf

  Your Paper Publication Details:

  Title: CEFPODOXIME PROXETIL: ANTIBACTERIAL ACTIVITY ,PHARMACOKINETIC PROPERTIES AND THERAPEUTIC EFFICACY

 DOI (Digital Object Identifier) :

 Pubished in Volume: 12  | Issue: 9  | Year: September 2024

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Chemistry All

 Author type: Indian Author

 Pubished in Volume: 12

 Issue: 9

 Pages: f695-f699

 Year: September 2024

 Downloads: 357

  E-ISSN Number: 2320-2882

 Abstract

Cefpodoxime Proxetil is a broad-spectrum, orally administered third-generation cephalosporin that acts as a pro-drug. In the body, it is converted to cefpodoxime, which exhibits significant antibacterial activity. a third-generation antibiotic, is effective against various bacterial infections, including cerebral abscesses and bacterial meningitis. As part of the ?-lactam antibiotic group, it is considered one of the safer options available1. Cefpodoxime proxetil has shown comparable clinical and bacteriological efficacy in treating lower respiratory tract infections, like pneumonia, when compared to cefuroxime axetil and amoxicillin/clavulanic acid in randomized controlled trials. It has also proven effective for skin and soft tissue infections in children. In studies involving both adults and children with various infections (such as abscesses, furuncles, cellulitis, and infected wounds),cefpodoxime proxetil's efficacy was similar to that of cefuroxime axetil and cefaclor.Additionally, cefpodoxime proxetil is generally well tolerated in pediatric patients, with adverse effects primarily involving gastrointestinal issues and skin rashes, which are consistent with those observed for other oral cephalosporins2.


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 Keywords

Cefpodoxime proxetil, Cephalosporin, Pharmacokinetic Properties ,Pharmacological applications

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