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  IJCRT Search Xplore - Search all paper by Paper Name , Author Name, and Title

Volume 11 | Issue 12 |

Volume 11 | Issue 12 | Month  
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  Paper Title: Systematic Review and Meta-Analysis of the Epidemiology of Chronic Kidney Disease in Nigeria

  Author Name(s): Apiyanteide, F., Nwose, E.U, Ofili, C.C., Digban K

  Published Paper ID: - IJCRT2312418

  Register Paper ID - 247537

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2312418 and DOI :

  Author Country : Foreign Author, Nigeria, 500101 , Port Harcourt, 500101 , | Research Area: Humanities All

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2312418
Published Paper PDF: download.php?file=IJCRT2312418
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2312418.pdf

  Your Paper Publication Details:

  Title: SYSTEMATIC REVIEW AND META-ANALYSIS OF THE EPIDEMIOLOGY OF CHRONIC KIDNEY DISEASE IN NIGERIA

 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: Foreign Author

 Pubished in Volume: 11

 Issue: 12

 Pages: d690-d709

 Year: December 2023

 Downloads: 54

  E-ISSN Number: 2320-2882

 Abstract

Despite the high mortality and financial burden associated with Chronic Kidney Disease (CKD) in Nigeria, gaps still exist on the epidemiology and management of this non-communicable disease in the country. This study sought to estimate the prevalence of CKD and its distribution in Nigeria using a Systematic Review and Meta-analysis of community-based studies that were conducted across the six geopolitical zones of the country. The study employed global best standards and practices in conducting systematic review and meta-analysis. This involved drafting and registration of the work into PROSPERO which was which was reviewed and assigned the registration number: CRD42023441374; adherence to acceptable research philosophies, and use of the PRISMA Framework for identification, screening and selection of quality studies included in the review. The PECO question was raised to guide the study and search for key words while Zotero software was used to manage information that was transferred to Excel sheet (data extraction) before data analysis was done with Medcal Software version 20.009. A total of ten (10) studies that meet the inclusion criteria set in the protocol were used for the meta-regression. Seven thousand and ten (7,010) individuals formed the sample size for the study from the 10 selected articles across the six geopolitical zones of Nigeria. Test for heterogeneity was conducted using the Cochrane's Q while test for publication bias was conducted using the Begg's test. Result showed that there was significant heterogeneity among the studies across the six geopolitical zones of the nation (P = 0.0001) despite low publication bias noted among the studies (P = 0.8510). This informed the use of the random effect model for the estimation of the pooled prevalence of CKD in Nigeria. The prevalence of CKD in Nigeria was found to be 15.432% (95% CI: 12.291% to 18.860%) which translates to 17,811,828 (95% CI: 14,186,442 to 21,768,473) Nigerians living with the condition. There is therefore an urgent need to scale up public health efforts such as health education and awareness creation against risk factors of the disease, health system strengthening, and innovations needed to manage the high burden of CKD in Nigeria.


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 Keywords

Chronic Kidney Disease, Pooled Prevalence, Systematic Review and Meta-analysis, Nigeria, Health Systems Strengthening

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  Paper Title: "Dental Management of Chronic Pulpitis in Down Syndrome": A Case Report.

  Author Name(s): Dr.Vinod.V.C, Dr.Roza.Baviskar, Dr.Harshad Bhagwat, Dr. Noor Um Munamah Shaikh

  Published Paper ID: - IJCRT2312417

  Register Paper ID - 247888

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2312417 and DOI :

  Author Country : Indian Author, India, 411001 , Pune, 411001 , | Research Area: Humanities All

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2312417
Published Paper PDF: download.php?file=IJCRT2312417
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2312417.pdf

  Your Paper Publication Details:

  Title: "DENTAL MANAGEMENT OF CHRONIC PULPITIS IN DOWN SYNDROME": A CASE REPORT.

 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: d685-d689

 Year: December 2023

 Downloads: 50

  E-ISSN Number: 2320-2882

 Abstract

This case report presents the dental management of a 21-year-old female patient with Down syndrome, who presented with chronic pain in the upper front region of the jaw. The patient had delayed developmental milestones and exhibited physical characteristics associated with Down syndrome. Due to the COVID-19 pandemic, she had been unable to receive previous dental treatment at a trust-associated dental clinic. The patient was referred to the M.A.R.D.C Pune for further dental evaluation and treatment. Clinical and radiographic examinations revealed over-retained primary maxillary canine and chronic irreversible pulpitis in multiple teeth. This case report highlights the challenges and considerations in providing dental care for individuals with Down syndrome and emphasizes the importance of early intervention and regular dental visits for this population.


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 Keywords

Down syndrome, dental treatment, over-retained primary canine, chronic pulpitis.

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  Paper Title: ESSENTIAL OILS: A COMPREHENSIVE REVIEW ON CHEMICAL COMPLEXITY, THERAPEUTIC POTENTIAL, AND SAFETY CONSIDERATION IN MEDICINE, COSMETICS, AND PHARMACEUTICALS

  Author Name(s): Pranav P.Ghatte, Kiran R. Shanware, Dhanaji S.Sargar, Dr. N.B.Chougule, Mr. V.A.Mahajan

  Published Paper ID: - IJCRT2312416

  Register Paper ID - 247930

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2312416 and DOI :

  Author Country : Indian Author, India, 416001 , kolhapur, 416001 , | Research Area: Pharmacy All

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2312416
Published Paper PDF: download.php?file=IJCRT2312416
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2312416.pdf

  Your Paper Publication Details:

  Title: ESSENTIAL OILS: A COMPREHENSIVE REVIEW ON CHEMICAL COMPLEXITY, THERAPEUTIC POTENTIAL, AND SAFETY CONSIDERATION IN MEDICINE, COSMETICS, AND PHARMACEUTICALS

 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: d669-d684

 Year: December 2023

 Downloads: 46

  E-ISSN Number: 2320-2882

 Abstract

Plant-derived essential oils find widespread applications in the realm of medicine, cosmetics, and pharmaceuticals. Essential oils, which have a liquid extracts obtained from fragrant plants are extensively utilized across various industries due to their versatile applications. Different techniques are employed to extract essential oils, each of which has its own benefits and yields information about the chemical and biological characteristics of the oils that are extracted. Due to their ability to lower stress, increase relaxation, elevate mood, and treat a variety of medical issues, essential oils are frequently used in aromatherapy. It delves deeply into the chemical complexity of essential oils, which are made up of a wide range of constituents like phenols, aldehydes, ketones, and terpenes. The review highlights the role of these compounds in not only imparting unique aromas but also in conferring These extracts possess therapeutic attributes like antibacterial, anti-swelling, pain killer effects. Moreover, safety considerations surrounding the utilization of essential oils are addressed, emphasizing the importance of proper dilution, adherence to recommended guidelines, and awareness of potential adverse reactions. Understanding these safety measures ensures their responsible and effective utilization.


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Keywords: Essential oil, aromatherapy, quality aspect, formulation.

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  Paper Title: Tesla Financing Journey: Innovating the Electric Vehicle Market- Case Study

  Author Name(s): Chippolu Nagaraj, Kavya K

  Published Paper ID: - IJCRT2312415

  Register Paper ID - 248002

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2312415 and DOI : http://doi.one/10.1729/Journal.37138

  Author Country : Indian Author, India, 583103 , Ballari, 583103 , | Research Area: Commerce All

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2312415
Published Paper PDF: download.php?file=IJCRT2312415
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2312415.pdf

  Your Paper Publication Details:

  Title: TESLA FINANCING JOURNEY: INNOVATING THE ELECTRIC VEHICLE MARKET- CASE STUDY

 DOI (Digital Object Identifier) : http://doi.one/10.1729/Journal.37138

 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: d667-d668

 Year: December 2023

 Downloads: 52

  E-ISSN Number: 2320-2882

 Abstract

The current case study is relating how a company focus on its financing strategies in order to find the pavement to survive in the market for a longer period by reducing the cost of capital and increasing in the profitability. The present study focuses on Electric Vehicle Market and rapid growth and technology is occupying the auto sector around the globe.


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 Keywords

Tesla, Electric Vehicles, market capitalization.

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  Paper Title: Notes on Pawara Tribe in Khandesh Region

  Author Name(s): Prashant S. Bhosale

  Published Paper ID: - IJCRT2312414

  Register Paper ID - 247979

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2312414 and DOI : https://doi.org/10.5281/zenodo.10427111

  Author Country : Indian Author, India, 425001 , Jalgaon, 425001 , | Research Area: Social Science All

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2312414
Published Paper PDF: download.php?file=IJCRT2312414
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2312414.pdf

  Your Paper Publication Details:

  Title: NOTES ON PAWARA TRIBE IN KHANDESH REGION

 DOI (Digital Object Identifier) : https://doi.org/10.5281/zenodo.10427111

 Pubished in Volume: 11  | Issue: 12  | Year: December 2023

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Social Science All

 Author type: Indian Author

 Pubished in Volume: 11

 Issue: 12

 Pages: d663-d666

 Year: December 2023

 Downloads: 63

  E-ISSN Number: 2320-2882

 Abstract

These notes on the Pawara Tribes are the part of ethnographical research study, sponsored by Tribal Research and Training Institute Pune under Ministry of Tribal Affairs for documenting the healing practices of the tribes. It is a monograph on Pawara tribes, residing in the Satpuda ranges of Khandesh region with special reference to Jalgaon district in Maharashtra state. The social and cultural characteristics of Pawara tribe are documented in this paper e.g. hierarchy of subgroups in the same tribe and ecological coexistence of tribes in the forms of festivals and celebrations etc are explored in the study.


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 Keywords

Pawara, Khandesh, Social System, Social Sanctions, Culture

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  Paper Title: A pre experimental study to assess the effectiveness Planned Teaching Programme on Level of Knowledge of Adolescent Girls on Management of Menstrual Disorders & Nutritional Anemia in selected rural government high schools.

  Author Name(s): Ms Deeksha, Ms Navneet Kaur, Ms Jasvir Kaur, Mr Sandeep Singh

  Published Paper ID: - IJCRT2312413

  Register Paper ID - 247610

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2312413 and DOI :

  Author Country : Indian Author, India, 147202 , Bhadson, Patiala, 147202 , | Research Area: Health Science All

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2312413
Published Paper PDF: download.php?file=IJCRT2312413
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2312413.pdf

  Your Paper Publication Details:

  Title: A PRE EXPERIMENTAL STUDY TO ASSESS THE EFFECTIVENESS PLANNED TEACHING PROGRAMME ON LEVEL OF KNOWLEDGE OF ADOLESCENT GIRLS ON MANAGEMENT OF MENSTRUAL DISORDERS & NUTRITIONAL ANEMIA IN SELECTED RURAL GOVERNMENT HIGH SCHOOLS.

 DOI (Digital Object Identifier) :

 Pubished in Volume: 11  | Issue: 12  | Year: December 2023

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Health Science All

 Author type: Indian Author

 Pubished in Volume: 11

 Issue: 12

 Pages: d658-d662

 Year: December 2023

 Downloads: 43

  E-ISSN Number: 2320-2882

 Abstract

A pre experimental study with one group pre and post test design was adopted for the study. Then using simple random sampling technique-lottery method 400 adolescent girls were selected from five govt high schools who met inclusion criteria. The overall pretest mean knowledge scores was 24.24 with SD of 2.98 and the post test mean knowledge scores was 38.09 with SD of 2.37. The obtained paired "t" test value was 72.44 which shows statistical significance at p<0.05%.


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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Knowledge about management of menstrual disorders and nutritional anemia and Planned teaching Programme.

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Creative Commons Attribution 4.0 and The Open Definition


  Paper Title: Text File Translator

  Author Name(s): Mr. K. Sanjeevaiah, Mohd Abdul Lateef, Mohammed Abdul Mufasil, Mupparapu Ganesh, Muthyala Pavan Kumar

  Published Paper ID: - IJCRT2312412

  Register Paper ID - 247965

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2312412 and DOI :

  Author Country : Indian Author, India, 500011 , Hyderabad, 500011 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2312412
Published Paper PDF: download.php?file=IJCRT2312412
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2312412.pdf

  Your Paper Publication Details:

  Title: TEXT FILE TRANSLATOR

 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: d650-d657

 Year: December 2023

 Downloads: 43

  E-ISSN Number: 2320-2882

 Abstract

The Text File Translator is a software application designed to facilitate the translation of text from one language to another. It provides a user-friendly interface that allows users to load a text file containing the source text and select the target language for translation. The application utilizes advanced machine learning algorithms and natural language processing techniques to accurately translate the text while preserving its meaning and context .The objective of this project is to translate small and large amount of information very easily. The input information which is to be translated to desired language is taken in the form of text file and the expected output will be in the form of translated text file. For one line translation, we can directly give input text and get the output text which is translated to desired language. But for text file translation, input is given in the form of text file and we expect the translated text file as output. We use 'googletrans ' python library that implemented Google Translate API in this project. By using this language translator any text and text file can be translated to any desired language. The language translator's job is to take content from one language and put it into another. It builds bridges between cultures. Language translation makes possible getting all information we need in our native language. Translation creates a sensation of global integration. It is done efficiently using language translator. We can say language translator is the task of automatically converting one natural language into another, preserving the meaning of the input text, and producing fluent text in the output language. It is mainly used for text and text file translation in real-time. The Text File Translator supports a wide range of languages and offers various translation options, including automatic translation, manual editing, and language-specific customization. Its intuitive user interface makes it easy for users to navigate through the translation process, providing suggestions and correction tools to enhance the accuracy of the translations. Overall, the Text File Translator is a powerful tool that streamlines the translation process, empowering users to efficiently and accurately translate text files across different languages.


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 Keywords

Google Trans,Google Translate API,Python, Text Files

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  Paper Title: The Deadly Virus Of Corruption In India An Analysis

  Author Name(s): I.muralitharan

  Published Paper ID: - IJCRT2312411

  Register Paper ID - 247848

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2312411 and DOI :

  Author Country : Indian Author, India, 632 006 , Vellore, 632 006 , | Research Area: Others area

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2312411
Published Paper PDF: download.php?file=IJCRT2312411
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2312411.pdf

  Your Paper Publication Details:

  Title: THE DEADLY VIRUS OF CORRUPTION IN INDIA AN ANALYSIS

 DOI (Digital Object Identifier) :

 Pubished in Volume: 11  | Issue: 12  | Year: December 2023

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Others area

 Author type: Indian Author

 Pubished in Volume: 11

 Issue: 12

 Pages: d636-d649

 Year: December 2023

 Downloads: 53

  E-ISSN Number: 2320-2882

 Abstract

As per mentioned in article


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As per mentioned in article

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  Paper Title: Traffic Prediction For Transportation System Using Machine Learning

  Author Name(s): V. Jeevan Babu, Kammari Deepak, Salvadi Sai Surya Teja, Valluepu Yamalaiah, Bandari Raju

  Published Paper ID: - IJCRT2312410

  Register Paper ID - 247911

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2312410 and DOI :

  Author Country : Indian Author, India, 500055 , kamareddy, 500055 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2312410
Published Paper PDF: download.php?file=IJCRT2312410
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2312410.pdf

  Your Paper Publication Details:

  Title: TRAFFIC PREDICTION FOR TRANSPORTATION SYSTEM 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: d628-d635

 Year: December 2023

 Downloads: 55

  E-ISSN Number: 2320-2882

 Abstract

The project's objective is to develop a tool for predicting traffic data accurately and promptly. This encompasses various factors such as trains, accidents, races, and road maintenance that can impact road traffic, potentially causing disruptions. By providing highly accurate predictions in advance for these scenarios and other daily situations affecting traffic, the tool aims to empower drivers and passengers to make informed decisions. Furthermore, this predictive capability is envisioned to contribute to the advancement of autonomous vehicles. As the volume of car data has surged in recent years, there is a transition toward leveraging car data. Although existing traffic prediction methods employ various models, they still face challenges in addressing real-world applications effectively. This challenge underscores the need to investigate traffic issues using advanced data and models. Given the substantial volume of available traffic data, the project proposes the use of machine learning, genetic algorithms, soft computing, and deep learning algorithms to analyze transportation big data with minimal reductions. Additionally, the project incorporates image processing algorithms in the driver recognition process, ultimately enhancing the training of autonomous vehicles.


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 Keywords

Traffic Disruptions, Image Processing, Road Network Analysis, Traffic Pattern Analysis.

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  Paper Title: "Employee Satisfaction towards Welfare Measures - A Study of Automobile Sector, Ballari"

  Author Name(s): Sabiya Begum B, Kavita Achchalli

  Published Paper ID: - IJCRT2312409

  Register Paper ID - 247867

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2312409 and DOI :

  Author Country : Indian Author, India, 583104 , BALLARI, 583104 , | Research Area: Management All

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2312409
Published Paper PDF: download.php?file=IJCRT2312409
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2312409.pdf

  Your Paper Publication Details:

  Title: "EMPLOYEE SATISFACTION TOWARDS WELFARE MEASURES - A STUDY OF AUTOMOBILE SECTOR, BALLARI"

 DOI (Digital Object Identifier) :

 Pubished in Volume: 11  | Issue: 12  | Year: December 2023

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Management All

 Author type: Indian Author

 Pubished in Volume: 11

 Issue: 12

 Pages: d622-d627

 Year: December 2023

 Downloads: 56

  E-ISSN Number: 2320-2882

 Abstract

Employee satisfaction describes how happy an employee is with his or her employment. The happier people are at work, the more pleased they are reported to be. There are many factors that influence satisfaction include management style and culture, employee involvement, empowerment, and autonomous work position and employee welfare measures. The present study mainly focuses to understand and analyze employee welfare facilities provided to employees working in showrooms of automobile sector, Ballari city.


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employee satisfaction, employment, welfare facilities, automobile sector

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