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(DOI)
IJCRT Journal front page | IJCRT Journal Back Page |
Paper Title: Quality Control Of Pharmaceutical products And Production Management
Author Name(s): Jannat, Dr. Rajni Singh
Published Paper ID: - IJCRT2406237
Register Paper ID - 261939
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2406237 and DOI :
Author Country : Indian Author, India, 132103 , Panipat , 132103 , | Research Area: Life Sciences All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2406237 Published Paper PDF: download.php?file=IJCRT2406237 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2406237.pdf
Title: QUALITY CONTROL OF PHARMACEUTICAL PRODUCTS AND PRODUCTION MANAGEMENT
DOI (Digital Object Identifier) :
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: c172-c198
Year: June 2024
Downloads: 23
E-ISSN Number: 2320-2882
Background information: For pharmaceutical goods to remain consistent, safe, and effective, quality control, or QC, is essential. Strict testing, inspections, and adherence to legal requirements are all part of the procedure to find and stop flaws or deviations in the manufacturing process. Finding live microorganisms in the air, raw materials, water, and final products is known as microbiological quality control, or QC, and it is a crucial part of the pharmaceutical industry. Scope and methods: The goal of this process is to detect and quantify microbial contamination using a variety of testing methodologies and environmental monitoring approaches. Key protocols include microbiological limit tests (MLT) for water and non-sterile products, sterility tests for products meant to be sterile, and the use of settle plates, active air sampling, and surface swabs to monitor industrial environments. By assessing the inhibition of bacterial growth, the agar diffusion method for antibiotic testing establishes the potency of antibiotic products. Standards like EU GMP Annex 1 and ISO 14644-1 must be followed in order to interpret results and guarantee regulatory compliance. Finding and conclusions: the data indicated that various products meet the requirements for pharmaceutical safety and microbiological quality. regarding the sensory study no variations were found in the overall production and storage. According to microbiological analysis , all the medicines and items are considered microbiologically safe for the use of consumers.
Licence: creative commons attribution 4.0
Introduction, QC, Microbiological QC, Pharmaceutical industry , Environment monitoring
Paper Title: Plastic A Great Menace For Earth, Environment And Mankind
Author Name(s): Prof. Sunita Kumari Sharma
Published Paper ID: - IJCRT2406236
Register Paper ID - 263256
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2406236 and DOI :
Author Country : Indian Author, India, 802301 , ARA, 802301 , | Research Area: Biological Science Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2406236 Published Paper PDF: download.php?file=IJCRT2406236 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2406236.pdf
Title: PLASTIC A GREAT MENACE FOR EARTH, ENVIRONMENT AND MANKIND
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 6 | Year: June 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Biological Science
Author type: Indian Author
Pubished in Volume: 12
Issue: 6
Pages: c167-c171
Year: June 2024
Downloads: 17
E-ISSN Number: 2320-2882
Abstract:- We all know that Plastic is the biggest threat to this planet Earth. Yet this grave issue is not taken seriously by the public. In India alone, 3.5 million tons of plastic wastes are getting generated every year.4 According to a report of 2021, in India, plastic waste generation has increased almost more than double in the last 5 years.1 Waste production of plastic is increasing every year at the rate of 21.8%. Not only in India, the conditions have become severe all around the world. According to IUCN Report, the whole world is producing 300 million tons of plastic waste, of which above 14 million tons of plastic waste is going in the ocean.3 So, there is a very strict need to control the use of plastic and to minimize its use until it is utmost necessary. The present paper deals with this menace in brief and also sheds light on the efforts going on in National, International, Individual and community level to fight this menace.
Licence: creative commons attribution 4.0
keywords Plastic, Non-biodegradable, Bio-friendly alternative, Incineration, climate change
Paper Title: Next-Gen Cloud Security: Big Data and Advanced Data Management Techniques
Author Name(s): Riya Patel, Mrs. Dipti Ranjan Tiwari
Published Paper ID: - IJCRT2406235
Register Paper ID - 262056
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2406235 and DOI :
Author Country : Indian Author, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2406235 Published Paper PDF: download.php?file=IJCRT2406235 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2406235.pdf
Title: NEXT-GEN CLOUD SECURITY: BIG DATA AND ADVANCED DATA MANAGEMENT TECHNIQUES
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: c159-c166
Year: June 2024
Downloads: 24
E-ISSN Number: 2320-2882
Cloud computing has become integral to modern business operations, offering scalability, flexibility, and cost-effectiveness. However, with the increasing reliance on cloud services comes the heightened risk of security breaches and data vulnerabilities. This paper explores next-generation approaches to cloud security, focusing on the integration of big data analytics and advanced data management techniques. The utilization of big data analytics enables the proactive detection of anomalies and potential threats within cloud environments. By harnessing vast amounts of data generated by cloud systems, machine learning algorithms can identify patterns indicative of security breaches, allowing for timely intervention and mitigation strategies. Additionally, advanced data management techniques, such as encryption, tokenization, and access control mechanisms, play a crucial role in safeguarding sensitive information stored in the cloud. This paper evaluates the effectiveness of these next-gen cloud security measures in mitigating risks associated with data breaches, unauthorized access, and insider threats. Furthermore, it discusses the challenges and considerations involved in implementing these technologies, including scalability, interoperability, and regulatory compliance. In conclusion, the integration of big data analytics and advanced data management techniques represents a promising paradigm shift in cloud security, offering enhanced protection against evolving cyber threats while enabling organizations to leverage the full potential of cloud computing resources.
Licence: creative commons attribution 4.0
Cloud computing, cloud security, data management, cyber threats, Big Data
Paper Title: FORMULATION AND CHARACTERIZATION OF POLYHERBAL FACE PACK AS COSMETIC: A RESEARCH PAPER
Author Name(s): Sahil Gafur Shaikh, Pradnya Guruling Vhanamane, Arbaz Naushad shaikh, Sajid Bandenavaj shaikh, Sahil Sameer Shaikh
Published Paper ID: - IJCRT2406234
Register Paper ID - 263337
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2406234 and DOI :
Author Country : Indian Author, India, 413003 , Solapur, 413003 , | Research Area: Pharmacy All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2406234 Published Paper PDF: download.php?file=IJCRT2406234 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2406234.pdf
Title: FORMULATION AND CHARACTERIZATION OF POLYHERBAL FACE PACK AS COSMETIC: A RESEARCH PAPER
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: c145-c158
Year: June 2024
Downloads: 25
E-ISSN Number: 2320-2882
The current study's goal is to create and assess a cosmetic herbal face pack using natural components to promote radiant skin and prevent wrinkles, aging, redness, acne, and scars. The fact that herbal cosmetics are non-toxic is their primary advantage. Herbal face masks aid in clearing debris from skin pores and enhancing blood circulation. The primary constituents in this composition are Fuller's Earth, coffee powder, powdered sandal wood, powdered lemon peel, Turmeric powder, and Rice flour. Using sieve no. 120, the precise amount of components was weighed and processed into a fine powder. Subsequently, the components were uniformly blended using the serial dilution procedure in a geometric manner. The composition of the face pack was assessed based on a number of factors, including physicochemical, parameters, an analysis of stability, and an irritation test.
Licence: creative commons attribution 4.0
Face pack, Natural, Formulation, Characterization
Paper Title: Rethinking the NGO Website from the Knowledge Management Perspective
Author Name(s): Kajal Sharma, Sachin Vyawhare
Published Paper ID: - IJCRT2406233
Register Paper ID - 262257
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2406233 and DOI :
Author Country : Indian Author, India, 444904 , Amravati, 444904 , | Research Area: Others area Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2406233 Published Paper PDF: download.php?file=IJCRT2406233 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2406233.pdf
Title: RETHINKING THE NGO WEBSITE FROM THE KNOWLEDGE MANAGEMENT PERSPECTIVE
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 6 | Year: June 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Others area
Author type: Indian Author
Pubished in Volume: 12
Issue: 6
Pages: c141-c144
Year: June 2024
Downloads: 26
E-ISSN Number: 2320-2882
This abstract examines the potential of redesigning NGO websites through the perspective of knowledge management to enhance their effectiveness and reach. In the digital age, NGOs must transition from static online presences to dynamic knowledge hubs that facilitate the creation, sharing, and utilization of information. This study proposes a framework for NGO websites that integrates knowledge management principles, promoting efficient information flow, collaboration, and continuous learning. By implementing interactive features, comprehensive data repositories, and collaborative tools, NGOs can improve stakeholder engagement, support informed decision-making, and amplify their mission. This approach transforms NGO websites into essential platforms for knowledge exchange, thereby enhancing their operational impact and strategic outcomes.
Licence: creative commons attribution 4.0
Keywords:NGO website design, Knowledge management (KM) for NGOs, Content management for NGOs, User-centered design for NGOs
Paper Title: Detection Of Thyroid Stages Classification By Using Convolution Neural Network Techniques
Author Name(s): N. SANDHIKA, Dr. D. RAJINIGIRINATH, S. P. AUDLINE BEENA
Published Paper ID: - IJCRT2406232
Register Paper ID - 263192
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2406232 and DOI :
Author Country : Indian Author, India, 600043 , Chennai, 600043 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2406232 Published Paper PDF: download.php?file=IJCRT2406232 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2406232.pdf
Title: DETECTION OF THYROID STAGES CLASSIFICATION BY USING CONVOLUTION NEURAL NETWORK TECHNIQUES
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: c135-c140
Year: June 2024
Downloads: 18
E-ISSN Number: 2320-2882
Thyroid disorders are prevalent endocrine diseases affecting millions of people worldwide. The accurate and timely classification of thyroid stages is crucial for effective diagnosis and treatment. In recent years, convolutional neural networks (CNNs) have emerged as a powerful tool for image recognition and classification tasks. The proposed methodology involves a multi-step process. First, a comprehensive dataset of thyroid images representing different stages is compiled and pre-processed for training and validation purposes. Next, a CNN architecture is designed, comprising multiple layers of convolutions, pooling, and fully connected layers. The model leverages the capability of CNNs to automatically learn and extract relevant features from the input images, making it well-suited for medical image analysis tasks. The training of the CNN is conducted using a large-scale dataset to optimize its performance and generalization ability. The model is fine-tuned through an iterative process to achieve the highest possible accuracy and precision for thyroid stage classification.
Licence: creative commons attribution 4.0
Detection Of Thyroid Stages Classification By Using Convolution Neural Network Techniques
Paper Title: PRECISION AGRICULTURE USING IOT AND CROP PREDICTION SYSTEM
Author Name(s): Mr. Jayesh Salve, Dr. Yogesh Angal
Published Paper ID: - IJCRT2406231
Register Paper ID - 263137
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2406231 and DOI :
Author Country : Indian Author, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2406231 Published Paper PDF: download.php?file=IJCRT2406231 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2406231.pdf
Title: PRECISION AGRICULTURE USING IOT AND CROP PREDICTION SYSTEM
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: c129-c134
Year: June 2024
Downloads: 22
E-ISSN Number: 2320-2882
Agriculture is vital to India's economy but is currently hindered by major challenges such as deteriorating soil fertility, inefficient resource utilization, and limited technology adoption. Intensive agricultural practices, excessive use of chemical fertilizers, and inadequate soil management have led to significant soil degradation and nutrient loss. Water scarcity and unpredictable rainfall further compound these problems, with traditional farming methods often resulting in wasted resources and reduced crop yields. The integration of Internet of Things (IoT) technology in soil fertility monitoring provides a promising solution. IoT systems use smart sensors to continuously monitor crucial soil parameters like nutrient levels, moisture, temperature, and pH in real-time. This data-centric approach improves soil health monitoring, optimizes the use of fertilizers and water, and promotes sustainable farming practices. Additionally, advanced analytics and machine learning can forecast soil health trends, allowing for proactive soil management. By adopting IoT technology, Indian agriculture can enhance soil management, increase resource efficiency, and boost productivity, ensuring food security and economic stability for millions of farmers.
Licence: creative commons attribution 4.0
Internet of Things, Sensors, Machine Learning, Agriculture
Paper Title: Early Stage Detection Of Glaucoma Illness By Deep Learning Approach Forecasting
Author Name(s): G.Akalya, Dr.D.Rajinigirinath, T.Saranya
Published Paper ID: - IJCRT2406230
Register Paper ID - 263078
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2406230 and DOI :
Author Country : Indian Author, India, 600056 , Chennai, 600056 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2406230 Published Paper PDF: download.php?file=IJCRT2406230 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2406230.pdf
Title: EARLY STAGE DETECTION OF GLAUCOMA ILLNESS BY DEEP LEARNING APPROACH FORECASTING
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: c122-c128
Year: June 2024
Downloads: 21
E-ISSN Number: 2320-2882
Glaucoma is a chronic eye disease that is the second leading cause of blindness all over the world, and a great number of people have been experiencing it. Glaucoma is a group of diseases that cause damage to the optic nerves,which leads to irreversible partial or fullvision loss. Early detection of glaucoma is critical and highly beneficial in preventing further deterioration. Glaucoma can occur at any age and shows no early signs or symptoms, which makes it hard to detect. The final stage leads to complete blindness, and a cure has not been found as of now. So, the only way is to slow down the effects by detecting them at an early stage. And another major drawback is the limited number of glaucoma specialists in our country, which makes it even more difficult to diagnose. Due to these reasons, the project focuses on developing an Android application that takes the fund us image as an input and then predicts whether it is glaucomatous or non- glaucomatous. This system is developed using the CNN algorithm in deep learning, which includes dataset collection, sequential model development,training,testing,model conversion,and application UIdevelopment.The accuracy of this model is found to be around 97%, and there are fewer false positives compared to the previous models. This project can be extended so that it can be used on multiple operating systems and be accessible through a web version. In the future, the fund us image can be extracted from the general eye image itself.
Licence: creative commons attribution 4.0
Early Stage Detection Of Glaucoma Illness By Deep Learning Approach Forecasting
Paper Title: A STUDY TO ASSESS THE EFFECTIVENESS OF THE MATERNAL POSITIONING ON FINDINGS OF THE FETAL PARAMETERS DURING THE NON-STRESS TEST AT THE SELECTED HOSPITAL OF THE SOUTH GUJARAT
Author Name(s): Mrs. Darshna Gavli, Mrs. Mayuri Patel
Published Paper ID: - IJCRT2406229
Register Paper ID - 263431
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2406229 and DOI :
Author Country : Indian Author, India, 396060 , vansda, 396060 , | Research Area: Humanities All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2406229 Published Paper PDF: download.php?file=IJCRT2406229 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2406229.pdf
Title: A STUDY TO ASSESS THE EFFECTIVENESS OF THE MATERNAL POSITIONING ON FINDINGS OF THE FETAL PARAMETERS DURING THE NON-STRESS TEST AT THE SELECTED HOSPITAL OF THE SOUTH GUJARAT
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 6 | Year: June 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Humanities All
Author type: Indian Author
Pubished in Volume: 12
Issue: 6
Pages: c109-c121
Year: June 2024
Downloads: 20
E-ISSN Number: 2320-2882
Introduction: The non-stress test (NST) is a simple, noninvasive way of checking on your baby's health. The test, sometimes called a cardiotocography, records your baby's movement, heartbeat, and contractions. It notes changes in heart rhythm when your baby goes from resting to moving, or during contractions if you're in labor. Your baby's heart should beat faster when active just like yours. The NST can reassure you that your baby is healthy and getting enough oxygen. It's called a non -stress test because the test won't bother your baby. Your doctor won't use medications to make your baby move. The NST records what your baby is doing naturally. Objectives: 1). To assess the of fetal parameters during non-stress test. 2). To assess the effectiveness of maternal positioning on findings of the fetal parameters during non-stress test. 3). To assess the association between fetal parameters with the demographical variable. Method: An quantitative approach with pre-experimental one group short case study research design was adopted for this study. The sample comprised of 60 antenatal mothers. Sample was selected by using purposive sampling technique. Data collection was done from 14nd February to 20th February at Shree Janani hospital Dharmpur and 2 march 2020 to 22 march 2020 at Shrimad Raj Chandra hospital Dharmpur data was collected by using numerical scale. Data was analyzed using descriptive and inferential statistics. Result: In all the three position the fetal heart rate was normal from the range 100-160 b/m. The fetal movement are easily observed in left lateral position (42) participants and less observe in supine position (47) participants and for the number of accelerations the normal result found in the semi-setting position (45) participants. Thus, investigator concluded that the experimental study is good method of providing left lateral maternal positioning during non-stress test. Interpretations and conclusion: In all the three position the fetal heart rate was normal from the range 100-160 b/m. The fetal movement are easily observed in left lateral position (42) participants and less observe in supine position (47) participants and for the number of accelerations the normal result found in the semi-setting position (45) participants. Thus, investigator concluded that the experimental study is good method of providing left lateral maternal positioning during non-stress test.
Licence: creative commons attribution 4.0
DF(Degree of freedom), NST(Non-stress test), S( Significant) NS(Non-significant) H(hypothesis) n(sample size)
Paper Title: Android Timer-Based Phone Silencer
Author Name(s): Sayali Sanjeev Dalimbakr, Pratiksha Padolkar, Priyanka Mane, Tushar Shelake, Ass. Prof P. R. Telshinge
Published Paper ID: - IJCRT2406228
Register Paper ID - 263333
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2406228 and DOI :
Author Country : Indian Author, India, 415311 , Vita, 415311 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2406228 Published Paper PDF: download.php?file=IJCRT2406228 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2406228.pdf
Title: ANDROID TIMER-BASED PHONE SILENCER
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: c104-c108
Year: June 2024
Downloads: 22
E-ISSN Number: 2320-2882
Many locations, including hospitals, universities, corporate offices, etc., have prominent signs that read "KEEP YOUR MOBILE PHONES SILENT!!" It is common for people to forget to place their phones in "Silent Mode," even though it isn't always possible--for example, during important meetings or presentations. Almost fully automated profile switching will be available via an Android app for automated profile switching. This application will enable the device to go into silent mode based on the data users enter into the database, based on what they need.
Licence: creative commons attribution 4.0
Auto Silent, Silent modes, automatic profile switching