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: Daruharidra (Berberis aristata) an Evidence- Based Review of its Medicinal Properties
Author Name(s): DR. POOJA
Published Paper ID: - IJCRT2311025
Register Paper ID - 245185
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2311025 and DOI :
Author Country : Indian Author, India, 249202 , Rishikesh, 249202 , | Research Area: Humanities All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2311025 Published Paper PDF: download.php?file=IJCRT2311025 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2311025.pdf
Title: DARUHARIDRA (BERBERIS ARISTATA) AN EVIDENCE- BASED REVIEW OF ITS MEDICINAL PROPERTIES
DOI (Digital Object Identifier) :
Pubished in Volume: 11 | Issue: 11 | Year: November 2023
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Humanities All
Author type: Indian Author
Pubished in Volume: 11
Issue: 11
Pages: a182-a187
Year: November 2023
Downloads: 97
E-ISSN Number: 2320-2882
Daruharidra, also known as Berberis aristata, is a medicinal plant native to the Himalayas and widely distributed across India. It has been used for centuries in traditional Ayurvedic medicine for its various therapeutic properties. In Ayurveda, Daruharidra is considered a bitter herb with potent medicinal properties. It is primarily used to support digestive health and treat gastrointestinal disorders such as diarrhoea, dysentery and indigestion. Additionally, it is believed to possess antimicrobial, anti-inflammatory, antioxidant, and hepatoprotective properties. Phytochemical analysis of Daruharidra has revealed the presence of various bioactive compounds, including alkaloids (berberine, palmatine), flavonoids (quercetin, isoquercetin), lignans, tannins, and essential oils. Daruharidra valuable medicinal plant in traditional Ayurvedic medicine. Although further research is needed to validate its traditional uses and explore its full potential.
Licence: creative commons attribution 4.0
Daruharidra, Berberine, Hepatoprotective, Anti-inflammatory, Liver diseases
Paper Title: Understanding Colonial Continuance and Perplexity of Cultural Praxis in Selected Works of Leila Aboulela: A Critical Study
Author Name(s): Shambhavi Singh
Published Paper ID: - IJCRT2311024
Register Paper ID - 240025
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2311024 and DOI :
Author Country : Indian Author, India, 160019 , Chandigarh, 160019 , | Research Area: Medical Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2311024 Published Paper PDF: download.php?file=IJCRT2311024 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2311024.pdf
Title: UNDERSTANDING COLONIAL CONTINUANCE AND PERPLEXITY OF CULTURAL PRAXIS IN SELECTED WORKS OF LEILA ABOULELA: A CRITICAL STUDY
DOI (Digital Object Identifier) :
Pubished in Volume: 11 | Issue: 11 | Year: November 2023
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Medical Science All
Author type: Indian Author
Pubished in Volume: 11
Issue: 11
Pages: a174-a181
Year: November 2023
Downloads: 111
E-ISSN Number: 2320-2882
Leila Aboulela, who perceives herself as a 'silent writer' is a Scottish-based Sudanese-origin fictional writer, playwright, and essayist whose insightful narratives are themed on identity, migration, Muslim culture, and superposed East and the West. This study critically examines Leila Aboulela's strategic essentialism against the backdrop of colonial continuance and globalization. It further focuses on how Africa needs liberation from both guilt and gratitude through the characters who have migrated to England in Leila Aboulela's short stories Missing Out, The Ostrich, and Doctor on the Nile. Migrants in the West often encounter 'colonial subjugation' and at same time are culturally displaced from their own space. In this realm, Leila Aboulela's illustration of Khartoum can be studied in the light of Salman Rushdie's conceptualization of 'imaginary truth'. This research predominantly analyzes the perplexity of cultural praxis through Homi Bhabha's concepts of 'mimicry' and 'hybridity' in the context of Leila Aboulela's alterity in these selected works.
Licence: creative commons attribution 4.0
Colonialism, Khartoum, Leila Aboulela, Migration, Mimcry, Orientalism
Paper Title: IMPACT OF ARTIFICIAL INTELLIGENCE ON BUSINESS TRANSFORMATIONS
Author Name(s): Deshna Jain, Arin Jain
Published Paper ID: - IJCRT2311023
Register Paper ID - 245627
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2311023 and DOI :
Author Country : Indian Author, India, 147001 , Patiala, 147001 , | Research Area: Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2311023 Published Paper PDF: download.php?file=IJCRT2311023 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2311023.pdf
Title: IMPACT OF ARTIFICIAL INTELLIGENCE ON BUSINESS TRANSFORMATIONS
DOI (Digital Object Identifier) :
Pubished in Volume: 11 | Issue: 11 | Year: November 2023
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science All
Author type: Indian Author
Pubished in Volume: 11
Issue: 11
Pages: a169-a173
Year: November 2023
Downloads: 85
E-ISSN Number: 2320-2882
Artificial Intelligence has emerged as a dynamic force reshaping business operation across diverse industries. It encompasses a broad spectrum of applications, from automation and data analytics to personalization and customer service. AI's growing significance in business value creation is undeniable. Organizations are increasingly relying on AI to gain a competitive edge and enhance their operations. However, despite substantial investments in time, effort, and resources, many AI initiatives end in failure due to a lack of comprehensive understanding of how AI technologies can create tangible business value. To address this knowledge gap, this paper presents a narrative review that identifies how organizations can effectively deploy AI and the mechanisms through which AI generates value. This review delves into the multifaceted influence of AI on businesses, discussing its implications for research, innovation, market deployment, and the evolving landscape of business models. Drawing insights from Neo-Schumpeterian economics, we explore the pivotal roles of innovation, knowledge, and entrepreneurship in AI-driven business transformations. The research model employed offers a three-dimensional perspective that navigates through the significant dimensions of AI's impact. As AI continues to evolve, businesses must navigate ethical, regulatory, and workforce-related considerations. This review underscores the evolving dynamics of AI in the business domain and its transformative potential in an increasingly AI-driven world.
Licence: creative commons attribution 4.0
Business Models, Automation, Robotic Process Automation, Robotic Process Automation, Artificial Intelligence
Paper Title: An Evaluation of Behavioralism as a Method for Modern Political Analysis
Author Name(s): Anju Bala
Published Paper ID: - IJCRT2311022
Register Paper ID - 245873
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2311022 and DOI : http://doi.one/10.1729/Journal.36690
Author Country : Indian Author, India, 124001 , Rohtak, 124001 , | Research Area: Medical Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2311022 Published Paper PDF: download.php?file=IJCRT2311022 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2311022.pdf
Title: AN EVALUATION OF BEHAVIORALISM AS A METHOD FOR MODERN POLITICAL ANALYSIS
DOI (Digital Object Identifier) : http://doi.one/10.1729/Journal.36690
Pubished in Volume: 11 | Issue: 11 | Year: November 2023
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Medical Science All
Author type: Indian Author
Pubished in Volume: 11
Issue: 11
Pages: a160-a168
Year: November 2023
Downloads: 110
E-ISSN Number: 2320-2882
The quest for alternative paradigms aimed at expanding epistemic knowledge while analyzing political challenges in the twenty-first century is motivated by limitations inherent in classic orientations of political phenomenon analysis. Modern philosophers have embraced behavioralist techniques in opposition to institutionalist, pluralist, and elitist approaches that are now in use. These approaches have the potential to elevate the empirical status of knowledge in modern political analysis. This paper's topic was examined through an examination of all available literature, debates, and archive sources using the conventional philosophical technique of analysis. In order to pinpoint the advantage that the behavioral method provides modern political scientists, the research objectively assesses the majority of the accusations leveled against it. The study comes to the conclusion that not all of the approach's examples are bad in spite of these objections. We are all becoming behaviorists as a result of the new ideas, advanced analytical tools, and mathematical models that behaviorism has given out.
Licence: creative commons attribution 4.0
Behaviouralists, Behaviouralism, Contemporary, Elitists, Empirical, Pluralists, Paradigms
Paper Title: AI Based System For Rotten Fruit Classification And Segregation
Author Name(s): Chitapu Bhavitha Reddy, Marru Hamsika, Konakanchi Sri Radha Madhavi, Gummalla Sindhuja, B. Tulasi Sowjanya
Published Paper ID: - IJCRT2311021
Register Paper ID - 245869
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2311021 and DOI : http://doi.one/10.1729/Journal.36864
Author Country : Indian Author, India, 500090 , Hyderabad, 500090 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2311021 Published Paper PDF: download.php?file=IJCRT2311021 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2311021.pdf
Title: AI BASED SYSTEM FOR ROTTEN FRUIT CLASSIFICATION AND SEGREGATION
DOI (Digital Object Identifier) : http://doi.one/10.1729/Journal.36864
Pubished in Volume: 11 | Issue: 11 | Year: November 2023
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 11
Issue: 11
Pages: a153-a159
Year: November 2023
Downloads: 110
E-ISSN Number: 2320-2882
This paper aims to develop a system for automated classification of rotten fruits using artificial intelligence (AI) and integrate it with a mechanical arm to segregate. The system will use Deep Learning techniques to analyze the images of fruits and identify the ones that are rotten based on their color, texture, and other visual cues. The data set of images of fruits, both fresh and rotten will be used for training. Once the system is trained, tested and validated it can be used in identifying the freshness of any new fruit given as input to the system. The fruits will be placed before the camera one after the other. The Trained AI Model will classify the images captured by the camera and identify the ones that are rotten. Once the rotten fruit is identified the robotic arm will be activated to separate the rotten fruit from the others.
Licence: creative commons attribution 4.0
AI, CNN, Image Acquisition, Deep learning, Arduino.
Paper Title: A STUDY ON INDUSTRIAL RELATIONS IN INDIAN ORGANIZATIONS
Author Name(s): DR B RAJESH, DR T NARAYANA MURTY
Published Paper ID: - IJCRT2311020
Register Paper ID - 245832
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2311020 and DOI :
Author Country : Indian Author, India, 521456 , IBRAHIMPATNAM, 521456 , | Research Area: Management All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2311020 Published Paper PDF: download.php?file=IJCRT2311020 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2311020.pdf
Title: A STUDY ON INDUSTRIAL RELATIONS IN INDIAN ORGANIZATIONS
DOI (Digital Object Identifier) :
Pubished in Volume: 11 | Issue: 11 | Year: November 2023
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Management All
Author type: Indian Author
Pubished in Volume: 11
Issue: 11
Pages: a150-a152
Year: November 2023
Downloads: 83
E-ISSN Number: 2320-2882
Industrial Relations (IR) comprise relationships between the state on one hand and the employer's and employee's organisation on the other, and the relationship among the occupational organizations themselves. Industrial relations are outcomes of employment relationships in an industrial enterprise.
Licence: creative commons attribution 4.0
Paper Title: Empowering Communities Traditional Folk Media's Role in Health, Education, Tourism and Women's Issues
Author Name(s): Soumen Das
Published Paper ID: - IJCRT2311019
Register Paper ID - 245785
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2311019 and DOI :
Author Country : Indian Author, India, 700015 , Kolkata, 700015 , | Research Area: Social Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2311019 Published Paper PDF: download.php?file=IJCRT2311019 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2311019.pdf
Title: EMPOWERING COMMUNITIES TRADITIONAL FOLK MEDIA'S ROLE IN HEALTH, EDUCATION, TOURISM AND WOMEN'S ISSUES
DOI (Digital Object Identifier) :
Pubished in Volume: 11 | Issue: 11 | Year: November 2023
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Social Science All
Author type: Indian Author
Pubished in Volume: 11
Issue: 11
Pages: a139-a149
Year: November 2023
Downloads: 165
E-ISSN Number: 2320-2882
In the 21st century, as new and electronic media expand, the relevance of traditional folk media in promoting health, education, tourism, and women's issues in rural areas of developing countries is a subject of inquiry. Despite the appeal of modern media, traditional folk media remains significant due to its strong connection with audiences based on religious, cultural, and linguistic affinities. These forms of art resonate with the population through shared beliefs, folklore, fables, and cultural requirements. They effectively convey information and education while fostering acceptance of scientific and developmental changes in rural communities, which can be resistant to change. India, with its rich heritage of folk media, still showcases these traditions during rural festivities, offering a platform for communicating informative and educational content. The paper underscores the immense potential of traditional folk media in development communication and calls for greater emphasis on their role in promoting health, education, tourism, and women's issues.
Licence: creative commons attribution 4.0
Folk Media, Communication, Information, Population
Paper Title: DATA-DRIVEN APPROACHES IN GEOPOLYMER MATERIALS ANALYSIS A COMPREHENSIVE REVIEW
Author Name(s): Dr.T.Venu Madhav
Published Paper ID: - IJCRT2311018
Register Paper ID - 245817
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2311018 and DOI : http://doi.one/10.1729/Journal.36716
Author Country : Indian Author, India, 524101 , Gudur, 524101 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2311018 Published Paper PDF: download.php?file=IJCRT2311018 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2311018.pdf
Title: DATA-DRIVEN APPROACHES IN GEOPOLYMER MATERIALS ANALYSIS A COMPREHENSIVE REVIEW
DOI (Digital Object Identifier) : http://doi.one/10.1729/Journal.36716
Pubished in Volume: 11 | Issue: 11 | Year: November 2023
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 11
Issue: 11
Pages: a133-a138
Year: November 2023
Downloads: 89
E-ISSN Number: 2320-2882
The advent of data-driven methodologies has revolutionized the field of materials science, particularly in the analysis and optimization of geopolymer materials. Geopolymers, known for their superior mechanical properties and environmental sustainability, have garnered significant attention in various industrial applications. This comprehensive review delves into the multifaceted role of data science in geopolymer research, emphasizing its contribution to the advancement of material properties, performance, and application domains. We systematically explore the literature, focusing on the integration of data analytics, machine learning, and computational modeling in understanding and predicting the behavior of geopolymer composites. A detailed synthesis of findings from selected studies highlights the efficiency of data-driven techniques in enhancing the structural integrity and durability of geopolymers. The review identifies prevailing trends, pinpoints gaps in current research, and discusses the challenges encountered in data acquisition and analysis. Furthermore, we propose future research directions that promise to foster innovation and optimization in geopolymer technology. By encapsulating the state-of-the-art in data-driven geopolymer analysis, this review aims to serve as a pivotal resource for researchers and industry practitioners alike, aspiring to harness the power of data science in material development and application.
Licence: creative commons attribution 4.0
Geopolymer Materials, Data Science, Machine Learning, Material Analysis, Data Analytics, Computational Modeling, Material Optimization, Structural Integrity.
Paper Title: HEART DISEASE PREDICTION USING RANDOM FOREST
Author Name(s): Narra Lavanya, Maddu Nithisha Swetha, Karumuri Keerthi Sai, Damerla Harshitha
Published Paper ID: - IJCRT2311017
Register Paper ID - 245507
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2311017 and DOI :
Author Country : Indian Author, India, 522508 , Guntur, 522508 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2311017 Published Paper PDF: download.php?file=IJCRT2311017 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2311017.pdf
Title: HEART DISEASE PREDICTION USING RANDOM FOREST
DOI (Digital Object Identifier) :
Pubished in Volume: 11 | Issue: 11 | Year: November 2023
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 11
Issue: 11
Pages: a127-a132
Year: November 2023
Downloads: 106
E-ISSN Number: 2320-2882
Heart disease remains a pervasive global health concern, maintaining its status as a primary cause of mortality. Early detection is pivotal for effective intervention strategies. This research leverages the Random Forest algorithm to predict the risk of heart disease, utilizing a comprehensive dataset encompassing patient attributes such as age, gender, cholesterol levels, blood pressure, and other pertinent clinical features. Renowned for its robustness and accuracy, the Random Forest model undergoes training on historical data to discern intricate patterns and relationships within the dataset. Through a meticulous evaluation process, we showcase the model's proficiency in accurately categorizing individuals into heart disease risk groups. This underscores its significance as a valuable tool for healthcare professionals in the assessment of patient cardiovascular health. This study represents a meaningful contribution to the ongoing endeavors aimed at harnessing machine learning to enhance heart disease prevention and elevate the standard of patient care.
Licence: creative commons attribution 4.0
Machine Learning, Random Forest Algorithm, Risk Prediction and Accuracy
Paper Title: IOT Based Accident Prevention And Alerting System Using Raspberry Pi
Author Name(s): Hardik Chotalia, Deep Bansode, Shivsai Panchal, Sagar Dhawale
Published Paper ID: - IJCRT2311016
Register Paper ID - 245672
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2311016 and DOI :
Author Country : Indian Author, India, 412105 , Lohgoan, 412105 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2311016 Published Paper PDF: download.php?file=IJCRT2311016 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2311016.pdf
Title: IOT BASED ACCIDENT PREVENTION AND ALERTING SYSTEM USING RASPBERRY PI
DOI (Digital Object Identifier) :
Pubished in Volume: 11 | Issue: 11 | Year: November 2023
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 11
Issue: 11
Pages: a121-a126
Year: November 2023
Downloads: 138
E-ISSN Number: 2320-2882
The IoT-based Car Accident Prevention and Alerting System using Raspberry Pi is a solution designed to enhance road safety. The system utilises a Raspberry Pi along with sensors like IR, MEMS, ultrasonic, vibration, alcohol, GPS, and MPC30008. Its primary objective is to detect accidents and promptly notify emergency services to minimise response time and save lives. The system continuously monitors both the vehicle's surroundings and the driver's condition through an array of sensors. In the event of an accident being detected, the system immediately sends an alert to emergency services containing information such as the vehicle's GPS location. To further enhance safety measures, the system also includes a DC motor and motor drive for controlling vehicle speed and direction.
Licence: creative commons attribution 4.0
Internet of Things (IOT), Raspberry Pi, GPS, Sensors