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: "Evaluating Climate Laws: Progress and New Approaches"
Author Name(s): Dr. Axita Shrivastava
Published Paper ID: - IJCRT2412278
Register Paper ID - 273559
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2412278 and DOI :
Author Country : Indian Author, India, 226016 , LUCKNOW, 226016 , | Research Area: Arts1 All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2412278 Published Paper PDF: download.php?file=IJCRT2412278 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2412278.pdf
Title: "EVALUATING CLIMATE LAWS: PROGRESS AND NEW APPROACHES"
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 12 | Year: December 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Arts1 All
Author type: Indian Author
Pubished in Volume: 12
Issue: 12
Pages: c549-c553
Year: December 2024
Downloads: 157
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
Climate change, Greenhouse gas, Governmental policy, Adverse effects, Climate litigation.
Paper Title: Design And Development Of Weightless Dress For Bride's
Author Name(s): Priya Dharshini T, Roobasri S, Mohan Bharathi C
Published Paper ID: - IJCRT2412277
Register Paper ID - 273683
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2412277 and DOI :
Author Country : Indian Author, India, 638401 , Erode, 638401 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2412277 Published Paper PDF: download.php?file=IJCRT2412277 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2412277.pdf
Title: DESIGN AND DEVELOPMENT OF WEIGHTLESS DRESS FOR BRIDE'S
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 12 | Year: December 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 12
Issue: 12
Pages: c539-c548
Year: December 2024
Downloads: 157
E-ISSN Number: 2320-2882
To create a weightless dress for the brides. Analyzing the client requirements. The bride should be able to move freely and feel comfortable. Highlights the bride's silhouette. Reflects contemporary trends in bridal fashion that prioritize comfort. It makes it easier for the bride to manage the dress during the ceremony. Highlights the bride's silhouette. Reflects contemporary trends in bridal fashion that prioritize comfort. It makes it easier for the bride to manage the dress during the ceremony. Enhance the client experience. Offer a smooth and efficient purchasing process, both in-store and online. Use premium fabrics and construction techniques to ensure the dress's weightlessness and durability. Traditional wedding dresses often present challenges for brides, including discomfort, restricted movement, and overall heaviness. These factors can negatively impact a bride's experience on her special day. To address these issues, this research focuses on designing and developing a novel wedding dress that prioritizes comfort, freedom of movement, and a sense of weightlessness. The objective of this research is to design and develop a novel wedding dress that provides brides with a sense of weightlessness, enhancing their comfort and overall bridal experience. A thorough understanding of bridal needs and preferences was gained through user interviews and surveys. This information was used to develop design criteria for the weightless dress. Various fabric combinations, construction techniques, and structural elements were explored through prototyping and testing. Advanced textile technologies were employed to enhance the fabric's weightlessness and durability. Specialized sewing and assembly techniques were developed to minimize seams and bulk, contributing to the overall sense of weightlessness. Structural elements like internal support systems were incorporated to maintain the dress's shape without adding significant weight.
Licence: creative commons attribution 4.0
fit, comfort, silhouette, lightweight, trend
Paper Title: The Impact Of DevOps Practices On Software Development Lifecycle
Author Name(s): Mustafa Eisa Misri
Published Paper ID: - IJCRT2412276
Register Paper ID - 273671
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2412276 and DOI :
Author Country : Foreign Author, United States of America, 33545 , Wesley Chapel, 33545 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2412276 Published Paper PDF: download.php?file=IJCRT2412276 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2412276.pdf
Title: THE IMPACT OF DEVOPS PRACTICES ON SOFTWARE DEVELOPMENT LIFECYCLE
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 12 | Year: December 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Foreign Author
Pubished in Volume: 12
Issue: 12
Pages: c531-c538
Year: December 2024
Downloads: 155
E-ISSN Number: 2320-2882
This paper explores the impact of DevOps practices on the Software Development Lifecycle (SDLC). DevOps aims to bridge the gap between development and operations teams to deliver software faster, more reliably, and with higher quality. The study examines key practices such as continuous integration (CI), continuous delivery (CD), Infrastructure as Code (IaC), and automated testing, along with their benefits and challenges in real-world implementations. The paper also evaluates the performance metrics used to measure the success of DevOps practices. The findings suggest that while DevOps leads to significant improvements in speed, quality, and collaboration, its adoption is hindered by cultural resistance, integration challenges, and skill gaps. Future work should focus on overcoming these barriers and further investigating the long-term impact of DevOps in various organizational contexts.
Licence: creative commons attribution 4.0
DevOps, Software Development Lifecycle (SDLC), Continuous Integration (CI), Continuous Delivery (CD), Automated Testing.
Paper Title: DEVELOPMENT AND OPTIMIZATION OF GLUCOPHAGE LOADED LIPOSOMES BY DOE METHOD
Author Name(s): T. Mohana Sri, V. Satya Priya, V. Tejaswini, T. Harika
Published Paper ID: - IJCRT2412275
Register Paper ID - 273536
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2412275 and DOI :
Author Country : Indian Author, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2412275 Published Paper PDF: download.php?file=IJCRT2412275 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2412275.pdf
Title: DEVELOPMENT AND OPTIMIZATION OF GLUCOPHAGE LOADED LIPOSOMES BY DOE METHOD
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 12 | Year: December 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 12
Issue: 12
Pages: c515-c530
Year: December 2024
Downloads: 153
E-ISSN Number: 2320-2882
Diabetic foot ulcers are a significant complication of diabetes, necessitating effective treatment options. This study aimed to develop and optimize Glucophage-loaded liposomes for diabetic wound healing. A 32 full factorial design was employed to investigate the effects of cholesterol and phospholipon 90H on the responses, including percent yield, particle size, and polydispersity index (PDI). The optimized formulation was obtained using Design-Expert software, and the liposomes were characterized for their shape, surface morphology, entrapment efficiency, and in vitro drug release. The results showed that the optimized liposomes had a spherical shape, uniform size distribution, and high entrapment efficiency. The in vitro drug release study revealed a diffusion-controlled mechanism, with 90.53% of the drug released within 12 hours. The optimized Glucophage-loaded liposomes have the potential to provide a novel treatment option for diabetic wound healing.
Licence: creative commons attribution 4.0
DEVELOPMENT AND OPTIMIZATION OF GLUCOPHAGE LOADED LIPOSOMES BY DOE METHOD
Paper Title: Sentiment Analysis of Student Feedback Mining Systems
Author Name(s): Dr. Jayant N. Patil, Dr. Sanjay. N. Kandekar
Published Paper ID: - IJCRT2412274
Register Paper ID - 273648
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2412274 and DOI : http://doi.one/10.1729/Journal.42550
Author Country : Indian Author, India, 411061 , Pune, 411061 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2412274 Published Paper PDF: download.php?file=IJCRT2412274 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2412274.pdf
Title: SENTIMENT ANALYSIS OF STUDENT FEEDBACK MINING SYSTEMS
DOI (Digital Object Identifier) : http://doi.one/10.1729/Journal.42550
Pubished in Volume: 12 | Issue: 12 | Year: December 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 12
Issue: 12
Pages: c508-c514
Year: December 2024
Downloads: 157
E-ISSN Number: 2320-2882
In education, the importance of gathering and understanding student feedback cannot be over stated. Traditional methods of gathering feedback through surveys and assessments often suffer from limitations such as low response rates and subjectivity. This paper proposes a new approach to improve the feedback collection process by implementing a Student Feedback Mining System sing sentiment analysis. The goal of t is system is to automatically analyze and extract sentiment from student feedback and provide educators and institutes with valuable insights into students' overall satisfaction and feelings toward various aspects of their academic experience. The system uses natural language processing (NLP) techniques to process unstructured text data, identify sentiments, and categorize feedback into positive, negative, or neutral feelings. Gathering student opinions using a variety of platforms, including discussion forums, online surveys, and other feedback systems. The gathered text data should be cleaned and preprocessed to eliminate noise and unnecessary information and standardize the format for analysis. Sentiment analysis methods and cutting-edge NLP algorithms are used to ascertain the emotional tone of feedback. This involves categorizing sentiment as neutral, negative, or positive. To give a thorough grasp of the different factors influencing student satisfaction, fees are grouped according to certain characteristics including course content, teaching strategies, facilities, and overall learning experience. Making it simple for administrators and teachers to understand and react to feedback by presenting studied data in reports and visuals that are easy to understand. Delivering feedback that makes it possible for ongoing development by offering actionable ideas to help teachers enhance their lesson plans, curricula, and overall learning environment. By automating the analysis process, offering real-time insights, and facilitating a data-driven approach to education improvement, the suggested solution seeks to overcome the limitations of traditional feedback collection approaches. By employing sentiment analysis, educational institutions and teachers can proactively address issues, enhance the standard of instruction, and establish a more upbeat and stimulating learning environment.
Licence: creative commons attribution 4.0
sentiment analysis, text processing, clustering, student feedback, and e-extraction.
Paper Title: PROXIMATE ANALYSIS AND SHELF LIFE EVALUATION OF THE MILLET BASED NUTRITIOUS PORRIDGE POWDER
Author Name(s): Kripa A K, Dr. Priyanka shankar
Published Paper ID: - IJCRT2412273
Register Paper ID - 269599
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2412273 and DOI :
Author Country : Indian Author, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2412273 Published Paper PDF: download.php?file=IJCRT2412273 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2412273.pdf
Title: PROXIMATE ANALYSIS AND SHELF LIFE EVALUATION OF THE MILLET BASED NUTRITIOUS PORRIDGE POWDER
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 12 | Year: December 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 12
Issue: 12
Pages: c501-c507
Year: December 2024
Downloads: 175
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
millet, porridge powder, proximate analysis, shelf life, serial dilution
Paper Title: Antioxidant and Antidiabetic Efficacy of Mimosa pudica: A Phytochemical Perspective
Author Name(s): Anandhi.S, Dr. Bharathi, Dr.S.G.Prabhakaran, VishnuPriya,, Dharshini.V
Published Paper ID: - IJCRT2412272
Register Paper ID - 273731
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2412272 and DOI :
Author Country : Indian Author, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2412272 Published Paper PDF: download.php?file=IJCRT2412272 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2412272.pdf
Title: ANTIOXIDANT AND ANTIDIABETIC EFFICACY OF MIMOSA PUDICA: A PHYTOCHEMICAL PERSPECTIVE
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 12 | Year: December 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 12
Issue: 12
Pages: c490-c500
Year: December 2024
Downloads: 166
E-ISSN Number: 2320-2882
The medicinal properties of Mimosa pudica, a widely used plant in traditional medicine, were investigated through phytochemical screening, antioxidant, and antidiabetic assays. Antioxidant potential was evaluated using ABTS and hydrogen peroxide (H?O?) scavenging assays. The methanol extract exhibited potent radical-scavenging activity with a low IC?? value, suggesting its capacity to neutralize reactive oxygen species (ROS), which are implicated in oxidative stress and related diseases such as cancer, cardiovascular diseases, and diabetes. Furthermore, the in vitro antidiabetic activity of Mimosa pudica was assessed by measuring the inhibition of ?-amylase and ?-glucosidase enzymes. The methanol extract showed strong inhibition of both enzymes, indicating its potential in managing postprandial blood glucose levels, a key factor in diabetes management. The findings highlight Mimosa pudica as a promising natural source of antioxidants and antidiabetic agents. Its rich phytochemical profile, particularly the high flavonoid and phenol content, underpins its therapeutic potential. Statistical analysis confirmed that methanol extracts were more bioactive compared to hexane extracts. This study supports the use of Mimosa pudica in the development of natural formulations for the prevention and treatment of oxidative stress-related diseases and diabetes. Further research is needed to isolate and characterize the active compounds responsible for these bioactivities and to explore their mechanisms of action.
Licence: creative commons attribution 4.0
Bioactive compounds, ?-Amylase inhibition assay, Phenolic compounds, Antidiabetic activity.
Paper Title: DEEP NECK FLEXOR ENDURANCE IN HEAD AND NECK CANCER PATIENTS AND NORMAL INDIVIDUALS AN OBSERVATIONAL STUDY
Author Name(s): Dr. Amit Mane, Dr. Deepak B. Anap (Phd)
Published Paper ID: - IJCRT2412271
Register Paper ID - 270989
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2412271 and DOI :
Author Country : Indian Author, India, 414111 , Ahmnednagar, 414111 , | Research Area: Health Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2412271 Published Paper PDF: download.php?file=IJCRT2412271 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2412271.pdf
Title: DEEP NECK FLEXOR ENDURANCE IN HEAD AND NECK CANCER PATIENTS AND NORMAL INDIVIDUALS AN OBSERVATIONAL STUDY
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 12 | Year: December 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Health Science All
Author type: Indian Author
Pubished in Volume: 12
Issue: 12
Pages: c480-c489
Year: December 2024
Downloads: 160
E-ISSN Number: 2320-2882
BACKGROUND : Head and neck cancer (HNC) encompasses a diverse group of malignancies affecting the oral cavity, pharynx, larynx, and other anatomical regions within the head and neck. Head and neck cancer (HNC) typically refers to malignant tumours arising from mucosal lining of upper aerodigestive tract, and encompasses primary sites within oral cavity, larynx and pharynx AIM & OBJECTIVE :The aim of this study was to compare the deep neck flexor endurance in patients with head and neck cancer versus normal individuals. The objective was to find out the difference in deep neck flexor endurance among head and neck cancer patients versus normal individuals. Methods: The observational study was conducted at a tertiary care hospital . The study population included patients with head and neck cancer and normal individuals. Group A consisted of head and neck cancer patients, while Group B comprised normal individuals. The study spanned a duration of three months, utilizing purposive sampling to select a sample size of 64 patients, with 32 in each group. The primary outcome measure was the deep neck flexor endurance test. Results : Data was analysed by using instat version 3.0 . Between group analysis was done for deep neck flexor endurance ( u value = 1024 , p value = <0.0001 ) using non parametric test .The result of the study showed that extremely significant difference was found which reflects normal individuals having more endurance than patients with HNC Conclusion : It is concluded that Head and Neck Cancer patients had reduced Deep Neck Flexor endurance as compared to normal individuals. Keywords: Head and neck cancer , deep neck flexors , Craniocervical flexor endurance training.
Licence: creative commons attribution 4.0
Head and neck cancer , deep neck flexors , Craniocervical flexor endurance training
Paper Title: Harvesting And Mathematical Analysis Of Plant Models In Ecology
Author Name(s): Tailam venkata gayatri
Published Paper ID: - IJCRT2412270
Register Paper ID - 273720
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2412270 and DOI :
Author Country : Indian Author, India, 534007 , ELURU, 534007 , | Research Area: Mathematics All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2412270 Published Paper PDF: download.php?file=IJCRT2412270 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2412270.pdf
Title: HARVESTING AND MATHEMATICAL ANALYSIS OF PLANT MODELS IN ECOLOGY
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 12 | Year: December 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Mathematics All
Author type: Indian Author
Pubished in Volume: 12
Issue: 12
Pages: c465-c479
Year: December 2024
Downloads: 173
E-ISSN Number: 2320-2882
A nursery is an agriculture where plants are propagated, nurtured, grown, and sold out to the home garden or commercial purpose. Two important factors determined the nursery design was nursery physical environmental factors and the technical factors of seedling production. In this project we mainly study two important factors determined by the nursery design, one is nursery physical environmental factors, and another one is technical factors of seedling production, so the purpose of this project is to systematically review the applications and methodology of statistics to calculate the estimation of cost production by using statistics methods. Variance cost method is used for gathering data, least square method is used to calculate the cost estimation.
Licence: creative commons attribution 4.0
least squares method, maxima and minima , Variance Cost
Paper Title: Deepfake Detection: Unmasking Images, Audio, Video
Author Name(s): Aditya Chavan, Varad Dixit, Pranav Dumbre, Saidutt Bhagat
Published Paper ID: - IJCRT2412269
Register Paper ID - 272953
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2412269 and DOI :
Author Country : Indian Author, India, 411041 , Pune, 411041 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2412269 Published Paper PDF: download.php?file=IJCRT2412269 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2412269.pdf
Title: DEEPFAKE DETECTION: UNMASKING IMAGES, AUDIO, VIDEO
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 12 | Year: December 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 12
Issue: 12
Pages: c454-c464
Year: December 2024
Downloads: 203
E-ISSN Number: 2320-2882
The rapid growth of artificial intelligence has made it easier to create convincing fake media, posing serious risks in areas like politics, entertainment, and social media. As fake content becomes more widespread, effective detection methods are crucial. Current approaches struggle to keep up with evolving deepfake technologies, creating a need for reliable solutions. This paper proposes using convolutional neural networks to analyze facial features and motion inconsistencies in videos, aiming to improve detection accuracy. Additionally, audio analysis will be integrated to detect mismatches between sound and visuals, enhancing the model's effectiveness. The research emphasizes the importance of simple and effective methods to address the challenges of fake media.
Licence: creative commons attribution 4.0
Deepfake Detection, Machine Learning, CNN, RNN, GAN

