IJCRT Peer-Reviewed (Refereed) Journal as Per New UGC Rules.
ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 7.97 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(CrossRef DOI)
| IJCRT Journal front page | IJCRT Journal Back Page |
Paper Title: FORMULATION AND EVALUATION OF HERBAL SUNSCREEN CREAM
Author Name(s): Mr. Jain Prajwal Jitendra, Mr. Singare Pawan Vitthal, Mr. Khandebharad Pavan Shahadev, Mr. Bhumbar Pavankumar Dnyaneshwar, Miss.Smrutigandha R. Kamble (Ass. Prof. (M Pharm P.cology).
Published Paper ID: - IJCRT2406130
Register Paper ID - 262869
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2406130 and DOI :
Author Country : Indian Author, India, 41122 , Badanapur, 41122 , | Research Area: Pharmacy All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2406130 Published Paper PDF: download.php?file=IJCRT2406130 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2406130.pdf
Title: FORMULATION AND EVALUATION OF HERBAL SUNSCREEN CREAM
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 6 | Year: June 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Pharmacy All
Author type: Indian Author
Pubished in Volume: 12
Issue: 6
Pages: b201-b217
Year: June 2024
Downloads: 342
E-ISSN Number: 2320-2882
Aloe vera is a medicinal plant heavily used in the pharmaceutical industry, especially in cosmetics. The aloe plant cultivated in Indonesia to supply this industry is Aloe chinensis Baker. This research aims to determine the effects of Aloe vera gel extract on the effectiveness of sunscreen lotion. The steps included Aloe vera gel extraction, flavonoid absorption test, sun protection factor (SPF) value measurement, pH test, viscosity test, homogeneity test, and organoleptic evaluation. The extract was added to the base sunscreen formulation at five different concentrations. UV-Vis spectrophotometry at 290 - 320 nm was performed on the preparations to determine their SPF values. The highest SPF value of 10.21 was found in the 20% Aloe vera gel extract preparation. This value falls within the national industrial standard for sunscreen SPF value range of 2 - 60. The research showed that a higher Aloe vera gel extract concentration increased the pH, with the most elevated pH at 7.0 for the preparation containing 20% Aloe gel vera extract. This value also falls within the national pH standard for sunscreen of 4.5 - 8.0. The higher concentration of Aloe vera gel extract also increased the dispersive amount of the sunscreen preparation, with the highest value of 5 cm resulting from a 20% Aloe vera gel extract addition. This research showed that the increased addition of Aloe vera gel extract resulted in higher SPF value.
Licence: creative commons attribution 4.0
Sunscreens, Aloe Vera, Coconut Oil, Vitamin E Capsule, SPF.
Paper Title: “Bhartiya Sanskruti Aur Naitik Mulya: Vartaman Paripekshay Me Ghatte Naitik Mulya V Sanskar Ek adhyan "
Author Name(s): Sangeeta Samadhiya
Published Paper ID: - IJCRT2406129
Register Paper ID - 262892
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2406129 and DOI :
Author Country : Indian Author, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2406129 Published Paper PDF: download.php?file=IJCRT2406129 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2406129.pdf
Title: “BHARTIYA SANSKRUTI AUR NAITIK MULYA: VARTAMAN PARIPEKSHAY ME GHATTE NAITIK MULYA V SANSKAR EK ADHYAN "
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 6 | Year: June 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 12
Issue: 6
Pages: b197-b200
Year: June 2024
Downloads: 272
E-ISSN Number: 2320-2882
“Bhartiya Sanskruti Aur Naitik Mulya: Vartaman Paripekshay Me Ghatte Naitik Mulya V Sanskar Ek adhyan "
Licence: creative commons attribution 4.0
“Bhartiya Sanskruti Aur Naitik Mulya: Vartaman Paripekshay Me Ghatte Naitik Mulya V Sanskar Ek adhyan "
Paper Title: Thermodynamic dependence of volume thermal expansion for some Nanomaterials
Author Name(s): Ashwini Dixit, Bindushekhar Sharma
Published Paper ID: - IJCRT2406128
Register Paper ID - 263218
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2406128 and DOI :
Author Country : Indian Author, India, 282001 , Agra, 282001 , | Research Area: Physics All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2406128 Published Paper PDF: download.php?file=IJCRT2406128 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2406128.pdf
Title: THERMODYNAMIC DEPENDENCE OF VOLUME THERMAL EXPANSION FOR SOME NANOMATERIALS
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 6 | Year: June 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Physics All
Author type: Indian Author
Pubished in Volume: 12
Issue: 6
Pages: b182-b196
Year: June 2024
Downloads: 227
E-ISSN Number: 2320-2882
The Anderson model for investigating the temperature dependence of volume expansion of some Nanomaterials viz. Zirconia, Ag, ZnO, NiO and Al compounds have been used by Kumar et.al to obtain results in an approximately fair agreement with the available experimental data. The model used by them is based on the assumption that the Anderson-Gruneisen parameter does not depend on temperature. It is found that the volume thermal experimental data for nanomaterials under study can be reproduced satisfactorily with the help of Liu at.al, which takes into account the temperature dependence of the Anderson-Gruneisen parameter.
Licence: creative commons attribution 4.0
Nanomaterials, volume thermal expansion, Anderson- Gruneisen Parameter, Isobaric equation of state.
Paper Title: OPTIMIZED LOCATION IDENTIFICATION FOR ELECTRIC VEHICLE CHARGING STATIONS BASED ON FUZZY C-MEANS CLUSTERING AND QGIS
Author Name(s): Dharshni Prabha P, Dr.Jagatheesan K
Published Paper ID: - IJCRT2406127
Register Paper ID - 263155
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2406127 and DOI :
Author Country : Indian Author, India, 636202 , KARKOODAL PATTI RASIPURAM, 636202 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2406127 Published Paper PDF: download.php?file=IJCRT2406127 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2406127.pdf
Title: OPTIMIZED LOCATION IDENTIFICATION FOR ELECTRIC VEHICLE CHARGING STATIONS BASED ON FUZZY C-MEANS CLUSTERING AND QGIS
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 6 | Year: June 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 12
Issue: 6
Pages: b177-b181
Year: June 2024
Downloads: 299
E-ISSN Number: 2320-2882
Electric vehicles (EVs) will be the next technological leap for urban mobility however the market penetration rate depends on several factors, including the major hurdle of limited EV charging stations. Equity is also an important factor - ensuring EV charging stations are widespread and available for all segments of the population. This paper outlines an innovative methodology to systematically determine the locations of EV charging stations while considering equity and efficiency to maximize accessibility and usage. The methodology has two levels. First, solving what is known as the Set Covering Location Problem (SCLP) by determining a threshold so that the distance (or travel time) between the consumer and the EV charging station will be less than or equal to a given value. This is a policy-based decision and provides a framework to ensure EV charging stations are ubiquitous and equitable. Second is solving the Maximum Covering Location Problem (MCLP) by considering a series of evaluation criteria to satisfy the demand of the early adopters. Following evaluation of the SCLP and MCLP, selected locations are aggregated by partitions to develop larger scale hubs. These hubs will not only include EV charging stations but will also function as connection points that integrate different modes of transportation. and policy supports in recent years, which leads to a larger demand of charging stations. Strategies about how to find the optimal location for charging facilities are urgently needed in order to further assist This paper describes application of GIS using Trans CAD software by combining SCLP and MCLP approaches to address both equity and efficiency.
Licence: creative commons attribution 4.0
Keywords--electric vehicle, location, optimization, gis, charging stations, threshold
Paper Title: Predictive Modeling of Heart Disease Risk Using Machine Learning Algorithms: A Comparative Study
Author Name(s): Ajay Singh, Ms. Namita Srivastava
Published Paper ID: - IJCRT2406126
Register Paper ID - 263094
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2406126 and DOI :
Author Country : Indian Author, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2406126 Published Paper PDF: download.php?file=IJCRT2406126 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2406126.pdf
Title: PREDICTIVE MODELING OF HEART DISEASE RISK USING MACHINE LEARNING ALGORITHMS: A COMPARATIVE STUDY
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 6 | Year: June 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 12
Issue: 6
Pages: b170-b176
Year: June 2024
Downloads: 267
E-ISSN Number: 2320-2882
Heart disease remains a leading cause of mortality worldwide, necessitating effective predictive models for risk assessment and early intervention. In this study, we conduct a comprehensive comparative analysis of machine learning (ML) algorithms for predictive modeling of heart disease risk. Leveraging a diverse dataset of patient demographics, clinical attributes, and medical history, we explore the performance of various machine learning techniques, including logistic regression, decision trees, random forests, support vector machines, and neural networks. We evaluate the models based on metrics such as accuracy, sensitivity, specificity, and area under the receiver operating characteristic curve (AUC-ROC) to assess their predictive capabilities. Additionally, we investigate the interpretability and computational efficiency of each algorithm to identify strengths and limitations. Our findings provide insights into the relative efficacy of different machine learning approaches for heart disease risk prediction, offering valuable guidance for healthcare practitioners and researchers in developing robust predictive models for cardiovascular risk assessment.
Licence: creative commons attribution 4.0
Heart disease, Machine learning (ML), medical history, decision trees, risk prediction
Paper Title: Comparative study of some generic and branded formulations
Author Name(s): Sushant Datta Dhumale
Published Paper ID: - IJCRT2406125
Register Paper ID - 263067
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2406125 and DOI :
Author Country : Indian Author, India, 416107 , Dattawad, 416107 , | Research Area: Pharmacy All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2406125 Published Paper PDF: download.php?file=IJCRT2406125 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2406125.pdf
Title: COMPARATIVE STUDY OF SOME GENERIC AND BRANDED FORMULATIONS
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 6 | Year: June 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Pharmacy All
Author type: Indian Author
Pubished in Volume: 12
Issue: 6
Pages: b161-b169
Year: June 2024
Downloads: 333
E-ISSN Number: 2320-2882
Both Aceclofenac and Paracetamol are non-steroidal anti-inflammatory drugs. The primary goal is to evaluate four distinct brands of Aceclofenac and Paracetamol tablets that are sold in Indian public pharmacies. Although generic medications share the same active components, variations in formulation methods and excipients have been shown to affect their quality and effectiveness. According to research, cyclooxygenase (COX) is inhibited by Aceclofenac and Paracetamol, which results in a decrease in pain perception or the transmission of neuropathic pain. A few testing techniques (drug assay, disintegration, weight variation, and friability tests) are employed for quality control.
Licence: creative commons attribution 4.0
Aceclofenac, Paracetamol, tablet, Dissolution, Disintegration, Branded, and Generic.
Paper Title: A Review of Fake News Analysis Using Machine Learning
Author Name(s): Santosh Kumar Yadav, Mr. Dileep Kumar Gupta
Published Paper ID: - IJCRT2406124
Register Paper ID - 263091
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2406124 and DOI :
Author Country : Indian Author, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2406124 Published Paper PDF: download.php?file=IJCRT2406124 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2406124.pdf
Title: A REVIEW OF FAKE NEWS ANALYSIS USING MACHINE LEARNING
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 6 | Year: June 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 12
Issue: 6
Pages: b155-b160
Year: June 2024
Downloads: 254
E-ISSN Number: 2320-2882
Recently, there have been many exploration endeavors meaning to comprehend counterfeit news wonders and to recognize regular examples and highlights of fake news. However, the genuine separating force of these highlights is as yet unclear: some are more broad, yet others perform well just with explicit information. In this survey work, we direct an exceptionally exploratory examination that created countless models from a huge and various arrangement of highlights. These models are unprejudiced as in their highlights are arbitrarily browsed the pool of accessible highlights. While by far most of models are incapable, we had the option to create various models that yield profoundly exact choices, in this manner successfully isolating fake news from genuine stories. In particular, we zeroed in our examination on models that position a haphazardly picked counterfeit report higher than an arbitrarily picked truth with more than 0.85 likelihood. For these models we tracked down a solid connection among highlights and model expectations, showing that a few highlights are plainly custom fitted for identifying particular sorts of fake news, accordingly confirming that various mixes of highlights cover a particular locale of the fake news space. At last, we present a clarification of variables adding to show choices, along these lines advancing community thinking by supplementing our capacity to assess computerized content and arrive at justified resolutions.
Licence: creative commons attribution 4.0
genuine, Fake News, models, highlights.
Paper Title: SignSpeak: American Sign Language to Text and Speech Convertor using Machine Learning
Author Name(s): Aishwarya Dinesh Warulkar, P N Deshmukh
Published Paper ID: - IJCRT2406123
Register Paper ID - 263227
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2406123 and DOI :
Author Country : Indian Author, India, 422222 , NASHIK, 422222 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2406123 Published Paper PDF: download.php?file=IJCRT2406123 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2406123.pdf
Title: SIGNSPEAK: AMERICAN SIGN LANGUAGE TO TEXT AND SPEECH CONVERTOR USING MACHINE LEARNING
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 6 | Year: June 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 12
Issue: 6
Pages: b145-b154
Year: June 2024
Downloads: 298
E-ISSN Number: 2320-2882
Sign language is one of the oldest and most natural form of language for communication, hence we have come up with a real time method using neural networks for finger spelling based American sign language. Automatic human gesture recognition from camera images is an interesting topic for developing vision. We propose a convolution neural network (CNN) method to recognize hand gestures of human actions from an image captured by camera. The purpose is to recognize hand gestures of human task activities from a camera image. The position of hand and orientation are applied to obtain the training and testing data for the CNN. The hand is first passed through a filter and after the filter is applied where the hand is passed through a classifier which predicts the class of the hand gestures. Then the calibrated images are used to train CNN.
Licence: creative commons attribution 4.0
American Sign Language, Hand Gesture Recognition, Machine learning, Deep Learning, Hand detection, Convolutional Neural Network (CNN), Computer Vision.
Paper Title: ANTIMICROBIAL ACTIVITY, SHELF LIFE AND STANDARDIZATION OF RECIPES WITH RAW, PROCESSED MORINGA OLEIFERA SEEDS
Author Name(s): Shyama Reji
Published Paper ID: - IJCRT2406122
Register Paper ID - 262933
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2406122 and DOI : http://doi.one/10.1729/Journal.39808
Author Country : Indian Author, India, 600037 , Chennai, 600037 , | Research Area: Life Sciences All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2406122 Published Paper PDF: download.php?file=IJCRT2406122 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2406122.pdf
Title: ANTIMICROBIAL ACTIVITY, SHELF LIFE AND STANDARDIZATION OF RECIPES WITH RAW, PROCESSED MORINGA OLEIFERA SEEDS
DOI (Digital Object Identifier) : http://doi.one/10.1729/Journal.39808
Pubished in Volume: 12 | Issue: 6 | Year: June 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Life Sciences All
Author type: Indian Author
Pubished in Volume: 12
Issue: 6
Pages: b138-b144
Year: June 2024
Downloads: 321
E-ISSN Number: 2320-2882
Moringa Oleifera commonly called drumstick seeds is usually used as a vegetable as well as for medicinal purposes. M. oleifera is found to have numerous benefits and the present study was carried out to determine the antimicrobial potential and shelf life of raw (RMO), germinated (GMO) and fermented (FMO) M. oleifera seeds. The study also discusses the benefits and methods of incorporating the samples into food products. The results were found to be positive thus concluding that Moringa vinifera seeds when processed exhibit high antimicrobial value. Processed seeds have an expected shelf life and are accepted when incorporated into food items. With its high nutritive values is suitable for either nutritional or medicinal purposes. Studies have also proved that fortifying staple foods with processed moringa seeds could enhance the flavour and texture; moreover, the nutrition quality is increased. Thus, incorporating the foods with moringa seed powder can prevent malnutrition.
Licence: creative commons attribution 4.0
Moringa oleifera, Germinated, Fermented, Sensory Evaluation, antimicrobial, Shelf life
Paper Title: COMPARATIVE STUDY OF HOT ROLLED AND COLD FORMED STEEL TRUSS
Author Name(s): AHMED MOHD MUSTAFA
Published Paper ID: - IJCRT2406121
Register Paper ID - 263163
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2406121 and DOI :
Author Country : Indian Author, India, 400706 , NAVI MUMBAI, 400706 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2406121 Published Paper PDF: download.php?file=IJCRT2406121 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2406121.pdf
Title: COMPARATIVE STUDY OF HOT ROLLED AND COLD FORMED STEEL TRUSS
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 6 | Year: June 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 12
Issue: 6
Pages: b114-b137
Year: June 2024
Downloads: 375
E-ISSN Number: 2320-2882
This study conducts a comparative design analysis of hot rolled and cold formed steel trusses, focusing solely on structural performance considerations. Understanding the design nuances between these two truss types is crucial for optimizing structural efficiency and reliability in construction projects. The study begins by delineating the distinct design methodologies applicable to hot rolled and cold formed steel trusses, highlighting key differences in material properties, manufacturing processes, and structural behavior. Through analytical modeling and computational simulations, the structural performance of truss systems is rigorously evaluated under various loading scenarios. Critical design parameters such as member sizes, span lengths, and overall geometry are scrutinized to ascertain their impact on structural strength, stiffness, and stability. By examining these factors comprehensively, the study aims to identify optimal design configurations for hot rolled and cold formed steel trusses, thereby enhancing their structural efficiency and effectiveness. The findings of this research provide valuable insights into the design considerations inherent to hot rolled and cold formed steel trusses, enabling engineers and designers to make informed decisions regarding the selection and optimization of truss systems in construction projects. By focusing solely on structural performance, this study contributes to the advancement of efficient and reliable structural designs utilizing steel trusses. The sections are selected based on the moment capacity and effective span of the sections by software STAAD.Pro. The analytical results are compared according to Indian and European Standards.
Licence: creative commons attribution 4.0
truss, cold formed, hot rolled, IS800, EN1993-1-1:2005, IS801

