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: Neonatal Gastric Perforation: A Case Series
Author Name(s): V R ARAVIND, Kopalle Sai Krishna Vasanthi, Sudha Reddy V R, P N Sreeramulu, Krishna Prasad
Published Paper ID: - IJCRT2312388
Register Paper ID - 247549
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2312388 and DOI :
Author Country : Indian Author, India, 563103 , Kolar, 563103 , | Research Area: Humanities All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2312388 Published Paper PDF: download.php?file=IJCRT2312388 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2312388.pdf
Title: NEONATAL GASTRIC PERFORATION: A CASE SERIES
DOI (Digital Object Identifier) :
Pubished in Volume: 11 | Issue: 12 | Year: December 2023
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Humanities All
Author type: Indian Author
Pubished in Volume: 11
Issue: 12
Pages: d443-d447
Year: December 2023
Downloads: 54
E-ISSN Number: 2320-2882
Introduction: Gastric perforation in neonates is a rare surgical emergency of uncertain etiology. Case series: We report a case series of five neonates diagnosed with gastric perforations in the first week of life requiring urgent surgical intervention. All five patients had no associated gastrointestinal anomalies contributing to the gastric perforation. Conclusion: Neonatal gastric perforation is extremely rare and is associated with high mortality. Early diagnosis and prompt surgical intervention are essential to improve the outcomes.
Licence: creative commons attribution 4.0
Gastric perforation, Pneumoperitoneum, Early intervention, Neonate, Gastrointestinal anomalies.
Paper Title: PREDICT CLIMATE CHANGES
Author Name(s): Mr. S. V. Hemanth, Abhishek Kant Sinha, Anwesha Sathua, Drishti Kumari, Dommati Shyam Kumar
Published Paper ID: - IJCRT2312387
Register Paper ID - 247772
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2312387 and DOI :
Author Country : Indian Author, India, 504231 , Mancherial, 504231 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2312387 Published Paper PDF: download.php?file=IJCRT2312387 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2312387.pdf
Title: PREDICT CLIMATE CHANGES
DOI (Digital Object Identifier) :
Pubished in Volume: 11 | Issue: 12 | Year: December 2023
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 11
Issue: 12
Pages: d438-d442
Year: December 2023
Downloads: 55
E-ISSN Number: 2320-2882
Weather forecasting is attempted by meteorologists to predict the weather conditions at some future time and the weather conditions that may be expected. The climatic condition parameters are based on the temperature, wind, humidity, rainfall and size of data set. Here, the parameters temperature and Humidity only are considered for experimental analysis. The data is collected from the temperature and humidity sensor called DHT11 sensor, which helps in detecting the temperature and humidity values of a particular region or location. The raspberry pi is used for storing the collected data to the cloud, with the help of Ethernet shield for uploading the data online. The data stored in cloud is generated in the form of CSV, JSON, XML files which is used for further analysis. The correlation analysis of the parameters helps in predicting the future values. The ARIMA model that gives better results for time-series data is used for predicting the values for forthcoming. Our application will also give alert about the weather conditions to the people, and will alert them for the upcoming natural calamities. So, that the people who will be affected by them can take precautionary measures and can be safe with their belongings. This alert system will help in the data analysis which will be useful in many rapidly emerging fields like Healthcare, Weather Conditions, Media, Agriculture, Education, and E-commerce.
Licence: creative commons attribution 4.0
DHT11 sensor, ARIMA, CSV, XML files, java program
Paper Title: Machine Learning-Based Blood Cell Categorization In Smear Images
Author Name(s): Rohit Sonawane, Manisha Darak, Sai Yandralwar, Abdul Shaikh
Published Paper ID: - IJCRT2312386
Register Paper ID - 247721
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2312386 and DOI :
Author Country : Indian Author, India, 411038 , Pune , 411038 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2312386 Published Paper PDF: download.php?file=IJCRT2312386 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2312386.pdf
Title: MACHINE LEARNING-BASED BLOOD CELL CATEGORIZATION IN SMEAR IMAGES
DOI (Digital Object Identifier) :
Pubished in Volume: 11 | Issue: 12 | Year: December 2023
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 11
Issue: 12
Pages: d432-d437
Year: December 2023
Downloads: 50
E-ISSN Number: 2320-2882
This research focuses on utilizing machine learning techniques to automate the classification of blood cells into white blood cells (WBCs) and red blood cells (RBCs) from blood smear images. The process involves data preprocessing, feature extraction or deep learning, model training, and evaluation. Various models are explored, including traditional classifiers and convolutional neural networks (CNNs).The model's performance is assessed using standard binary classification metrics. Successful models can be deployed in healthcare for efficient blood cell classification, contributing to streamlined diagnostics. Ethical considerations regarding data privacy are integral to this process. This research aims to provide a valuable tool for healthcare professionals, enhancing the speed and accuracy of blood cell analysis. Keywords - Blood Cell Categorization, Machine Learning , Smear Images, CNN , Image Processing.
Licence: creative commons attribution 4.0
Blood Cell Categorization, Medical Imaging, Image Processing, Smear Images, Machine Learning
Paper Title: ISOMALT LOZENGES
Author Name(s): K.TEJA SRI SOUMYA, MAMIDIGALLA SUPRATHIKA, MUTHYALA ROHITH REDDY, MA PARVEZ
Published Paper ID: - IJCRT2312385
Register Paper ID - 247827
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2312385 and DOI :
Author Country : Indian Author, India, 500070 , HYDERABAD RANGA REDDY, 500070 , | Research Area: Pharmacy All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2312385 Published Paper PDF: download.php?file=IJCRT2312385 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2312385.pdf
Title: ISOMALT LOZENGES
DOI (Digital Object Identifier) :
Pubished in Volume: 11 | Issue: 12 | Year: December 2023
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Pharmacy All
Author type: Indian Author
Pubished in Volume: 11
Issue: 12
Pages: d426-d431
Year: December 2023
Downloads: 77
E-ISSN Number: 2320-2882
Lozenges are palatable unit dosage form administrated in the oral cavity, which is the most common route and easiest way of administering a drug and have a bright future as novel method of delivering drugs for local and systemic effect. Lozenges are solid preparations that contain one or more medicaments, usually in a flavoured, sweetened base, and are intended to dissolve or disintegrate slowly in the mouth. The main objective present study to formulate medicated lozenges by useing isomalt sugar.The physical characteristics of the tablets were relatively stable after half a year storage at different humidities as a result of the low hygroscopicity of isomalt.Isomalt is a sugar substitute with a wide range of potential pharmaceutical applications as a result of its physicochemical properties.The benefits of the medicated lozenges is they increase theretention time of the dosage form in oral cavity which increases bioavailability, reduces gastric irritation and bypasses first pass metabolism. The acceptance for lozenges as a dosage form is high by adults and also more by children.
Licence: creative commons attribution 4.0
Lozenges, isomalt sugar, palatable, sweetened, flavoured, medication.
Paper Title: RECENT TRENDS IN ACCOUNTING: A DESCRIPTIVE STUDY ON INNOVATIVE ACCOUNTING
Author Name(s): SUNITA KUMARI
Published Paper ID: - IJCRT2312384
Register Paper ID - 247479
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2312384 and DOI :
Author Country : Indian Author, India, 127308 , BADHRA, 127308 , | Research Area: Commerce All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2312384 Published Paper PDF: download.php?file=IJCRT2312384 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2312384.pdf
Title: RECENT TRENDS IN ACCOUNTING: A DESCRIPTIVE STUDY ON INNOVATIVE ACCOUNTING
DOI (Digital Object Identifier) :
Pubished in Volume: 11 | Issue: 12 | Year: December 2023
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Commerce All
Author type: Indian Author
Pubished in Volume: 11
Issue: 12
Pages: d422-d425
Year: December 2023
Downloads: 47
E-ISSN Number: 2320-2882
ABSTRACT: The accounting scenario is changing due to expeditious growth in Information and technology sector and dynamic environment of corporate world. Fast advancement in IT sector and covid pandemic create many problems in accounting sphere. Despite of this accounting have some other issues like multiple methods for single problem and accounting standard board also provide opportunity to business houses for using different different methods for single problem and they can use different methods for recording similar problem. The recent accounting software and trends help the accountants in handling accounting issues. The new accounting trends like forensic accounting, cloud base accounting, block chain accounting, creative accounting, environmental accounting, value added accounting, brand accounting and other accounting trends are perfectly meet the requirement of current scenario of accounting world. This paper is based on study of contemporary accounting trends and summarizing recent challenges in accounting world. The main aim of this study is to elaborate the current and upcoming drift in the word of accounting and also examine the main features of different - different accounting types and with the help of this study we find out the suitable accounting method for recent challenges which help in accounting work. The recent accounting software and methods enhance the efficiency of accountant and increase effectiveness in decision making and interpretation of accounting results which are useful for all stakeholders.
Licence: creative commons attribution 4.0
Technologies, block chain, creative accounting, forensic accounting, cloud base accounting.
Paper Title: Data Protection and Data Retrieval by Utilizing Advanced Encryption System
Author Name(s): Gaurav Anant Ambikar, Nilesh Choudhary
Published Paper ID: - IJCRT2312383
Register Paper ID - 247896
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2312383 and DOI :
Author Country : Indian Author, India, 425001 , Jalgaon, 425001 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2312383 Published Paper PDF: download.php?file=IJCRT2312383 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2312383.pdf
Title: DATA PROTECTION AND DATA RETRIEVAL BY UTILIZING ADVANCED ENCRYPTION SYSTEM
DOI (Digital Object Identifier) :
Pubished in Volume: 11 | Issue: 12 | Year: December 2023
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 11
Issue: 12
Pages: d416-d421
Year: December 2023
Downloads: 69
E-ISSN Number: 2320-2882
Efficient document retrieval is a crucial aspect in today's information-driven world. This paper presents a novel approach for Robust Keyword-Based Document Retrieval by leveraging an Advanced Encryption System. The proposed methodology aims to enhance the security and effectiveness of document retrieval while maintaining efficient access to relevant information. By integrating advanced encryption techniques into the retrieval process, sensitive data is safeguarded, ensuring a higher level of confidentiality. The study demonstrates the feasibility and effectiveness of the proposed approach through comprehensive experiments and comparisons.
Licence: creative commons attribution 4.0
Paper Title: Taxonomy of Teacher Education: Excellence vs. Reality
Author Name(s): Dibyendu
Published Paper ID: - IJCRT2312382
Register Paper ID - 247883
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2312382 and DOI :
Author Country : Indian Author, India, 741235 , Nadia, 741235 , | Research Area: Medical Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2312382 Published Paper PDF: download.php?file=IJCRT2312382 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2312382.pdf
Title: TAXONOMY OF TEACHER EDUCATION: EXCELLENCE VS. REALITY
DOI (Digital Object Identifier) :
Pubished in Volume: 11 | Issue: 12 | Year: December 2023
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Medical Science All
Author type: Indian Author
Pubished in Volume: 11
Issue: 12
Pages: d398-d415
Year: December 2023
Downloads: 58
E-ISSN Number: 2320-2882
Abstract: The pedagogical standpoint within this taxonomy highlights the importance of how teachers are taught to teach. It ensures that teacher education programs not only provide aspiring educators with content knowledge but also equip them with the necessary pedagogical skills, classroom management techniques, and strategies for effective teaching. In doing so, taxonomy bridges the gap between theory and practice, ensuring that educators are well-prepared to meet the diverse needs of their students. Teacher Education is being lighted by its practical and pedagogical perspectives. But practicality is next to impossible without its theoretical understanding and that is the basic source of exploring taxonomy in terms of its objectives to visualise it in three domains in Teacher Education 1. Knowledgebase for Teacher Education 2. Human Development for Teacher Education 3. Competency for Teacher Education and qualitative methodology have been used to make it a reality.
Licence: creative commons attribution 4.0
Key Words: Taxonomy of Teacher Education , Knowledgebase, Human Development and Competency.
Paper Title: Traffic Sign Detection Under Foggy Environment Using Machine Learning
Author Name(s): Vishal Sonar, Manisha Darak, Sujit Tatugade, Mandar Todkar, Vaishnavi Mugale
Published Paper ID: - IJCRT2312381
Register Paper ID - 247835
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2312381 and DOI :
Author Country : Indian Author, India, 411058 , Pune, 411058 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2312381 Published Paper PDF: download.php?file=IJCRT2312381 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2312381.pdf
Title: TRAFFIC SIGN DETECTION UNDER FOGGY ENVIRONMENT USING MACHINE LEARNING
DOI (Digital Object Identifier) :
Pubished in Volume: 11 | Issue: 12 | Year: December 2023
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 11
Issue: 12
Pages: d393-d397
Year: December 2023
Downloads: 53
E-ISSN Number: 2320-2882
In order to improve road safety and traffic management, traffic sign detection is an essential part of contemporary intelligent transportation systems. The approaches, developments, and methods for traffic sign detection are thoroughly reviewed and analyzed in this work. We examine different methodologies used in this field for computer vision and machine learning and talk about their advantages and disadvantages. We also provide a thorough analysis of the difficulties associated with datasets, practical applications, and new developments in traffic sign recognition. In order to create safer and more effective road networks, researchers, engineers, and policymakers can benefit greatly from this study's synthesis of the body of existing knowledge.
Licence: creative commons attribution 4.0
Traffic Sign Detection , Machine Learning , Road Safety, CNN , Dataset Challenges
Paper Title: A REVIEW ON STUDY OF DRUG NANOCRYSTAL TECHNIQUE
Author Name(s): Mhaske Mayur Nitin, Lawande Mayur Avinash, Bhise Abhishek Balasaheb, Prof. Ms. Pranali P Anmal, Pathare Dipak Gorakh
Published Paper ID: - IJCRT2312380
Register Paper ID - 247884
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2312380 and DOI :
Author Country : Indian Author, India, 414003 , Ahmednagar, 414003 , | Research Area: Pharmacy All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2312380 Published Paper PDF: download.php?file=IJCRT2312380 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2312380.pdf
Title: A REVIEW ON STUDY OF DRUG NANOCRYSTAL TECHNIQUE
DOI (Digital Object Identifier) :
Pubished in Volume: 11 | Issue: 12 | Year: December 2023
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Pharmacy All
Author type: Indian Author
Pubished in Volume: 11
Issue: 12
Pages: d376-d392
Year: December 2023
Downloads: 50
E-ISSN Number: 2320-2882
Most of the recently developed new chemical entities are poorly water soluble and they create major problems during formulation and development of new dosage form and due to poor solubility and poor bioavailability. The drugs belong to BCS class II and class IV has problem of solubility, to overcome the solubility problem nanotechnology is most useful technique. In this review article the main focus on Nanocrystals and various techniques used for preparation of Nanocrystals. Drug nanocrystals consists pure poorly water soluble drugs without any matrix material which means that it is carrier free drug delivery. Nanocrystals technologies have been introduced as advantageous, universal formulation approaches for the BCS class II and IV drugs. Nanocrystals, with greater surface to volume ratio, can effectively increase both the dissolution rate and saturation solubility of active ingredients The Nanocrystals is suitable drug delivery system for all commonly used routes of administration such as oral, IV, SC, and IM and topical application. Nanocrystals can also be incorporated into the tablets, capsules, fastmelts and lyophilized for sterile product applications. There are no of techniques which are used for production including precipitation, milling, high pressure homogenization and combination methods such as Nano-Edge, SmartCrystal and Precipitation-lyophilization-homogenization (PLH) technology.
Licence: creative commons attribution 4.0
Nanotechnology, nanocrystals, techniques of production of nanocrystals, Solubility.
Paper Title: NUTRACEUTICAL AN EMERGING CONCEPT OF SOYA BEAN
Author Name(s): MANISH YADAV, ADITYA GUPTA, DR. JAYANT KUMAR MAURYA
Published Paper ID: - IJCRT2312379
Register Paper ID - 247743
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2312379 and DOI :
Author Country : Indian Author, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2312379 Published Paper PDF: download.php?file=IJCRT2312379 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2312379.pdf
Title: NUTRACEUTICAL AN EMERGING CONCEPT OF SOYA BEAN
DOI (Digital Object Identifier) :
Pubished in Volume: 11 | Issue: 12 | Year: December 2023
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 11
Issue: 12
Pages: d364-d375
Year: December 2023
Downloads: 47
E-ISSN Number: 2320-2882
This survey could be a rundown of dietary and wellbeing benefits of soybean and its created nourishment. The critical soy components that appear organic movement are proteins or peptides, saponins, isoflavones, and protease inhibitors. There are numerous inquiries about which appears that their utilization is compelling in decreasing add up to cholesterol, cardiovascular infection, oxidative stress, osteoporosis, diabetes mellitus, blood weight, cancer-related issues additionally ease menopause side effects. This survey expounds the wholesome esteem of soybean and its items and their potential part in anticipation and treatment of different. inveterate infections
Licence: creative commons attribution 4.0
Soybean, dietary benefits, wellbeing benefits, soybean item