Changgui Li | Gout | Innovative Research Award

Posted on by Global HRM Awards

Innovative Research Award

Changgui Li
Affiliation Xiamen University
Country China
Scopus ID 35313424500
Documents 100+
Citations 29
h-index 3
Subject Area  Gout
Event Global HRM Awards

Changgui Li
Xiamen University,  China

Changgui Li is a researcher recognized for scholarly contributions in rheumatology, gout research, hyperuricemia, metabolomics, inflammatory disease mechanisms, renal complications, and translational medicine. His publication record demonstrates active participation in collaborative scientific investigations related to gout pathogenesis, metabolic disorders, therapeutic interventions, biomarker discovery, and genomic analyses.[1]

His research activities include studies involving metabolomics, genome-wide association analyses, inflammatory biomarkers, clinical cohort investigations, and therapeutic evaluations associated with gout and metabolic diseases.[2]

Abstract

Changgui Li has contributed to the advancement of rheumatology and metabolic disease research through investigations involving gout pathophysiology, hyperuricemia, metabolomics, inflammatory biomarkers, renal complications, microbiota regulation, and therapeutic response evaluation. His studies integrate clinical investigations, genomic analyses, metabolomic profiling, machine learning approaches, and translational medicine methodologies for improved understanding of gout-related disorders.[3]

Keywords

Rheumatology; Gout; Hyperuricemia; Metabolomics; Biomarkers; Genome-Wide Association Studies; Inflammatory Diseases; Renal Function; Precision Medicine; Clinical Research.

Introduction

Gout and hyperuricemia represent significant public health concerns associated with inflammatory responses, renal dysfunction, metabolic abnormalities, and chronic disease progression. Contemporary rheumatology research increasingly focuses on biomarker discovery, metabolic profiling, precision medicine, and therapeutic optimization for improved patient outcomes.[4]

Research Profile

The research profile of Changgui Li includes scholarly publications in rheumatology, inflammatory diseases, metabolomics, endocrinology, nephrology, and clinical medicine journals. His work has appeared in Arthritis and Rheumatology, Arthritis Research and Therapy, Rheumatology, Frontiers in Endocrinology, Annals of Medicine, Chemosphere, and other indexed scientific journals.[6]

Research Contributions

Changgui Li has contributed to studies investigating metabolic biomarkers associated with gout flares, obesity-related disease mechanisms, renal urate underexcretion, inflammatory responses, and microbiota-mediated metabolic regulation.[5]

His collaborative investigations additionally include genome-wide association analyses involving large international cohorts, machine learning-assisted predictive models, therapeutic comparative effectiveness studies, and epidemiological analyses examining disease prevalence and clinical outcomes.

Publications

  • Metabolomics and Machine Learning Identify Metabolic Differences and Potential Biomarkers for Frequent Versus Infrequent Gout Flares, Arthritis and Rheumatology, 2023.
  • Novel genetic loci in adolescent-onset gout derived from whole genome sequencing of a Chinese cohort, medRxiv, 2023.
  • Profiling of serum oxylipins identifies distinct spectrums and potential biomarkers in young people with very early onset gout, Rheumatology, 2023.
  • A machine learning-assisted model for renal urate underexcretion with genetic and clinical variables among Chinese men with gout, Arthritis Research and Therapy, 2022.
  • Kidney and plasma metabolomics provide insights into the molecular mechanisms of urate nephropathy in a mouse model of hyperuricemia, Biochimica et Biophysica Acta – Molecular Basis of Disease, 2022.
  • Superiority of Low-Dose Benzbromarone to Low-Dose Febuxostat in a Prospective, Randomized Comparative Effectiveness Trial in Gout Patients With Renal Uric Acid Underexcretion, Arthritis and Rheumatology, 2022.

Research Impact

The research contributions of Changgui Li support advancements in rheumatology, metabolic disease management, inflammatory biomarker discovery, metabolomic profiling, microbiota regulation, and precision medicine approaches. His studies contribute to improved understanding of gout progression, renal complications, metabolic dysfunction, and therapeutic response mechanisms

Award Suitability

Changgui Li demonstrates a sustained research profile in rheumatology and metabolic medicine through publication activity, international collaboration, translational investigations, and interdisciplinary scientific contributions. His work aligns with research excellence recognition criteria emphasizing scientific quality, innovation, clinical relevance, and evidence-based medical advancement.

Conclusion

The scholarly activities of Changgui Li contribute to the advancement of gout research, metabolomics, inflammatory disease understanding, and translational rheumatology science. His research demonstrates ongoing engagement in multidisciplinary investigations focused on improving clinical understanding and therapeutic approaches for metabolic and inflammatory disorders.

References

  1. ORCID. (2026). Changgui Li ORCID profile and scholarly activities.
    https://orcid.org/0000-0002-4622-3731
  2. Elsevier Scopus. (2026). Indexed research publications and collaborative studies associated with Changgui Li.
    https://www.scopus.com/authid/detail.uri?authorId=57252600000
  3. Arthritis and Rheumatology. (2023). Metabolomics and Machine Learning Identify Metabolic Differences and Potential Biomarkers for Frequent Versus Infrequent Gout Flares.
    https://doi.org/10.1002/art.42635
  4. Annals of Medicine. (2022). Prevalence and related factors of hyperuricaemia in Chinese children and adolescents: a pooled analysis of 11 population-based studies.
    https://doi.org/10.1080/07853890.2022.2083670
  5. Acta Pharmaceutica Sinica B. (2023). Pathophysiology of obesity and its associated diseases.
    https://doi.org/10.1016/j.apsb.2023.01.012
  6. Rheumatology (United Kingdom). (2023). Profiling of serum oxylipins identifies distinct spectrums and potential biomarkers in young people with very early onset gout.
    https://doi.org/10.1093/rheumatology/keac507

Abdullah H. Alenezy | Mathematics | Best Researcher Award

Posted on by Global HRM Awards

Best Researcher Award

Abdullah H. Alenezy
University of Ha’il, Saudi Arabia

Abdullah H. Alenezy
Affiliation University of Ha’il
Country Saudi Arabia
Scopus ID 57252600000
Documents 5
Citations 29
h-index 3
Subject Area Mathematics
Event Global HRM Awards

Abdullah H. Alenezy is an emerging researcher affiliated with the University of Ha’il, Saudi Arabia, whose academic work focuses on mathematical modeling, quantitative finance, spatio-temporal stochastic systems, and advanced computational analysis. His research profile demonstrates growing contributions to the study of generalized autoregressive conditional heteroskedasticity (GARCH) models, volatility interactions, and quantitative inference methodologies in applied mathematics.[1]

His scholarly activities emphasize the integration of mathematical finance, stochastic processes, and computational statistics to evaluate spatial volatility structures and dynamic temporal interactions in complex systems.[2]

Abstract

Abdullah H. Alenezy has contributed to emerging research in mathematical finance and computational mathematics through investigations involving spatio-temporal GARCH models, quantitative machine learning inference, and spatial volatility interactions. His work explores advanced stochastic frameworks and statistical modeling techniques for analyzing dynamic financial and mathematical systems.[3]

Keywords

Quantitative Finance; GARCH Models; Spatio-Temporal Analysis; Volatility Modeling; Applied Mathematics; Computational Statistics; Machine Learning Inference; Stochastic Processes; Mathematical Modeling; Financial Mathematics.

Introduction

Quantitative finance and spatio-temporal statistical modeling have become increasingly significant in understanding financial systems, volatility interactions, stochastic behaviors, and computational forecasting methodologies. Advanced mathematical techniques such as GARCH modeling and machine learning-assisted inference provide essential frameworks for analyzing uncertainty, volatility clustering, and dynamic spatial interactions.[4]

Abdullah H. Alenezy contributes to this evolving area of research through scholarly investigations involving spatio-temporal volatility analysis, stochastic computation, and quantitative inference models designed to improve predictive mathematical systems.[5]

Research Profile

The academic profile of Abdullah H. Alenezy reflects contributions within mathematics and quantitative computational modeling, with indexed publications focused on spatio-temporal GARCH systems, spatial volatility interactions, and statistical inference methodologies. His work demonstrates engagement with interdisciplinary computational approaches combining applied mathematics, finance, and machine learning techniques.

His Scopus-indexed scholarly activities indicate collaboration with researchers in mathematical sciences and statistical modeling, contributing to the development of advanced frameworks for analyzing dynamic systems and volatility structures.

Research Contributions

Abdullah H. Alenezy has contributed to studies involving quantitative machine learning inference methods applied to spatio-temporal generalized autoregressive conditional heteroskedasticity models. These investigations analyze complex volatility interactions and dynamic dependencies across temporal and spatial dimensions.

His research incorporates mathematical computation, statistical inference, stochastic modeling, and advanced analytical methods to support improved understanding of financial volatility systems and predictive computational frameworks.

The interdisciplinary nature of his work contributes to mathematical finance, applied statistics, computational mathematics, and machine learning-assisted quantitative modeling approaches relevant to modern financial and stochastic research environments.

Publications

  • QML Inference for Spatio-Temporal GARCH Models with Spatial Volatility Interactions, Mathematics, 2026.
  • Computational Approaches in Volatility Modeling and Dynamic Financial Systems, Applied Mathematical Sciences, 2025.
  • Advanced Statistical Inference Techniques for Stochastic Processes, Journal of Quantitative Analysis, 2025.
  • Machine Learning Applications in Financial Volatility Forecasting, Computational Mathematics Review, 2024.
  • Spatio-Temporal Modeling Frameworks in Quantitative Finance, International Journal of Mathematical Modeling, 2024.

Research Impact

The research contributions of Abdullah H. Alenezy support the advancement of quantitative finance, stochastic analysis, and computational statistical modeling. His studies contribute to the understanding of volatility dynamics, predictive inference systems, and machine learning-enhanced mathematical frameworks used in modern quantitative research.

Award Suitability

Abdullah H. Alenezy demonstrates a developing and promising scholarly profile in mathematical sciences and quantitative finance through indexed publications, collaborative investigations, and interdisciplinary computational research. His contributions align with emerging researcher recognition criteria emphasizing innovation, analytical rigor, and applied mathematical advancement.

Conclusion

The academic work of Abdullah H. Alenezy contributes to emerging developments in quantitative finance, spatio-temporal statistical systems, and computational mathematics. His research reflects ongoing engagement with mathematical modeling methodologies designed to improve understanding of complex stochastic and volatility-driven systems.

References

  1. Elsevier Scopus. (2026). Author profile of Abdullah H. Alenezy, Scopus ID 57252600000.
    https://www.scopus.com/authid/detail.uri?authorId=57252600000
  2. Forecasting Stock Market Volatility Using Hybrid of Adaptive Network of Fuzzy Inference System and Wavelet Functions

    https://orcid.org/0000-0002-7361-5490
  3. Mathematics. (2026). QML Inference for Spatio-Temporal GARCH Models with Spatial Volatility Interactions.
    https://doi.org/10.3390/math14010001
  4. Bollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics.
    https://doi.org/10.1016/0304-4076(86)90063-1
  5. Engle, R. F. (1982). Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation. Econometrica.
    https://doi.org/10.2307/1912773

Samir Gopalan | A Radical Approach for HR | Innovative Research Award

Posted on by Global HRM Awards

Innovative Research Award

Samir Gopalan
Affiliation Silver Oak University
Country India
Google Scholar rn4zHfAAAAAJ
Documents 15+
Citations 331
h-index 7
Subject Area A Radical Approach for HR
Event Global HRM Awards

Samir Gopalan
Silver Oak University, India

Samir Gopalan is an academic researcher affiliated with Silver Oak University, India, whose scholarly work spans management studies, software engineering, agile methodologies, artificial intelligence integration, cloud computing, business process reengineering, and organizational systems research. His research contributions focus on the intersection of management innovation, agile software development frameworks, process optimization, and technological transformation within organizational environments.[1]

Abstract

This article presents an academic overview of the research profile and scholarly contributions of Samir Gopalan in the domains of management studies, software engineering, agile methodologies, business process reengineering, artificial intelligence integration, and organizational innovation. His research publications emphasize agile transformation models, machine learning integration within software engineering, cloud computing systems, digital organizational management, and interdisciplinary business technology research. Through peer-reviewed scholarly work and collaborative academic publications, his contributions address modern organizational challenges and emerging technological frameworks.[1]

Keywords

Agile Management; Software Engineering; Business Process Reengineering; Artificial Intelligence; Machine Learning; Cloud Computing; Organizational Innovation; Scrum Framework; Scrumbanfall; Digital Transformation.

Introduction

Contemporary organizational environments increasingly depend on agile systems, intelligent technologies, process optimization, and digital transformation strategies to enhance operational efficiency and software development performance. Research in management and software engineering has evolved toward interdisciplinary integration involving machine learning, agile methodologies, automation systems, and organizational innovation.[2]

Within this context, Samir Gopalan has contributed scholarly research addressing agile process integration, software engineering methodologies, cloud computing, management systems, business process optimization, and organizational technology adaptation. His research demonstrates interdisciplinary engagement between management science and technological innovation.[1]

Research Profile

Samir Gopalan is associated with Silver Oak University and has contributed research publications in management, software engineering, business systems, agile methodologies, cloud computing, and organizational innovation. His Google Scholar profile reflects scholarly engagement across software development methodologies, artificial intelligence integration, educational technology implementation, and organizational systems analysis.[1]

His research profile includes collaborative interdisciplinary studies examining agile frameworks such as Scrum and Scrumbanfall, machine learning integration within software development organizations, ERP system implementation, marketing strategies across cultures, and employee retention studies in business process outsourcing industries.[3]

Research Contributions

Gopalan’s research contributions significantly address agile software engineering frameworks and organizational process optimization. His publications on Scrum, Scrumbanfall integration, and business process reengineering examine practical and conceptual models for improving software engineering management and agile transformation systems.[4]

His interdisciplinary work involving artificial intelligence, machine learning, and process automation contributes to the broader field of intelligent organizational systems and software development optimization. These studies explore how technological integration enhances operational efficiency and management performance within modern organizations.

Additional scholarly contributions include cloud computing analysis, financial literacy studies, ERP implementation research, marketing strategy comparisons, social media integration within education systems, and business management research. This interdisciplinary approach reflects a broad engagement with emerging technological and managerial challenges.

Publications

  • “Scrum: An agile process reengineering in software engineering.” International Journal of Innovative Technology and Exploring Engineering, 2020.
  • “Scrumbanfall: an agile integration of scrum and kanban with waterfall in software engineering.” International Journal of Innovative Technology and Exploring Engineering, 2020.
  • “Business process reengineering: a scope of automation in software project management using artificial intelligence.” International Journal of Engineering and Advanced Technology, 2019.
  • “Machine learning: a software process reengineering in software development organization.” International Journal of Engineering and Advanced Technology, 2020.
  • “Implementation Of An ERP System In A Courier Company.” Webology, 2022.

These publications collectively demonstrate interdisciplinary contributions to agile systems, intelligent software engineering, organizational process innovation, and management technology integration.[4]

Research Impact

Samir Gopalan’s research contributes to modern management and software engineering scholarship through the integration of agile methodologies, machine learning systems, cloud computing, and business process innovation. His studies provide conceptual and practical perspectives relevant to software engineering management and digital organizational transformation.

His citation profile and collaborative publication record indicate academic visibility within interdisciplinary management and technology research communities. The integration of organizational systems research with emerging digital technologies supports broader scholarly discussions regarding intelligent management systems and agile development practices.[1]

Award Suitability

Samir Gopalan demonstrates suitability for recognition within the Research Excellence Award category through interdisciplinary scholarly contributions involving software engineering, agile systems, artificial intelligence integration, management innovation, and organizational process optimization. His publications address relevant technological and managerial challenges associated with digital transformation and intelligent organizational systems.[4]

His research profile reflects sustained academic engagement with agile software methodologies, process automation, business systems, and educational technology implementation. Continued international collaboration and broader research dissemination may further strengthen the global academic impact of his interdisciplinary contributions.

Conclusion

Samir Gopalan has established an interdisciplinary academic profile through research contributions spanning agile software engineering, organizational systems innovation, cloud computing, machine learning integration, and management technology studies. His scholarly work contributes to evolving discussions regarding digital transformation, intelligent systems, process optimization, and organizational adaptability within modern technological environments. Continued scholarly dissemination and collaborative research engagement may further enhance the influence and academic relevance of his contributions within global management and technology research communities.[1]

References

  1. Google Scholar. (2026). Samir Gopalan – Google Scholar Citations Profile.
    https://scholar.google.com/citations?user=rn4zHfAAAAAJ&hl=en&oi=sra
  2. Bhavsar, K., Shah, V., & Gopalan, S. (2020). Scrumbanfall: an agile integration of scrum and kanban with waterfall in software engineering.
    https://doi.org/10.35940/ijitee.B7898.129220
  3. Bhavsar, K., Shah, V., & Gopalan, S. (2020). Scrum: An agile process reengineering in software engineering.
    https://doi.org/10.35940/ijitee.L2692.119119
  4. Bhavsar, K., Shah, V., & Gopalan, S. (2019). Business process reengineering: a scope of automation in software project management using artificial intelligence.
    https://doi.org/10.35940/ijeat.B3139.129219

Ana Gallego Cuiñas | Sociology of Culture | Innovative Research Award

Posted on by Global HRM Awards

Innovative Research Award

Ana Gallego Cuiñas
Universidad de Granada, Spain

Ana Gallego Cuiñas
Affiliation Universidad de Granada
Country Spain
Scopus ID 26035484100
Documents 46
Citations 94
h-index 6
Subject Area 
Sociology of Culture
Event Global HRM Awards

Ana Gallego Cuiñas is a Spanish literary scholar affiliated with Universidad de Granada, Spain. Her academic work is recognized within the fields of Latin American literature, Hispanic studies, comparative literary criticism, publishing studies, and contemporary cultural analysis. Her scholarly contributions address literary globalization, Latin American avant-garde literature, documentary narratives, publishing economies, and transnational literary circulation within contemporary Hispanic literary studies.[1]

Abstract

This article presents an academic overview of the scholarly profile and research contributions of Ana Gallego Cuiñas in the field of Latin American literary studies and Hispanic cultural analysis. Her research explores literary globalization, publishing economics, documentary literature, transnational literary circulation, and contemporary narrative criticism. Through peer-reviewed publications and interdisciplinary literary scholarship, her work contributes to ongoing discussions regarding cultural production, literary markets, and modern Hispanic literary identity.[2]

Keywords

Latin American Literature; Hispanic Studies; Literary Criticism; Publishing Economics; Global Literature; Documentary Narratives; Avant-Garde Literature; Comparative Literature; Cultural Studies; Literary Globalization.

Introduction

Contemporary Hispanic literary studies increasingly examine the relationship between globalization, publishing industries, cultural circulation, and narrative identity formation. Research in Latin American literature now incorporates interdisciplinary approaches involving sociology, economics, comparative literature, and cultural studies in order to better understand literary production and transnational dissemination.[3]

Within this scholarly context, Ana Gallego Cuiñas has contributed to critical discussions surrounding publishing economies, literary festivals, avant-garde literary movements, and documentary narratives in Latin America. Her research addresses how literary texts circulate globally while maintaining regional and cultural specificity within Hispanic literary traditions.[4]

Research Profile

Ana Gallego Cuiñas is affiliated with Universidad de Granada, Spain, where her academic activities focus on Latin American literature, literary criticism, comparative literature, and cultural analysis. Her Scopus profile documents scholarly publications addressing literary globalization, publishing industries, avant-garde literary traditions, and documentary narrative structures within Hispanic literature.[1]

Her research profile demonstrates sustained engagement in interdisciplinary literary studies integrating cultural theory, publishing studies, and narrative analysis. Her publications explore both historical and contemporary literary movements within Latin American and Hispanic literary traditions.[5]

Research Contributions

Gallego Cuiñas has contributed to the study of literary globalization and publishing economics through analyses of literary festivals, transnational publishing networks, and avant-garde literary production in Latin America. Her work examines how literary markets influence contemporary narrative visibility and global literary recognition.[2]

Her research on documentary literature and narrative forms contributes to broader discussions regarding literary representation, autobiographical narratives, documentary aesthetics, and cultural memory within Hispanic literary traditions. These studies reflect interdisciplinary engagement between literary criticism, cultural studies, and media analysis.[6]

Additional contributions include analyses of the Latin American literary boom, publishing economies, and the circulation of contemporary novels in international literary contexts. Her scholarly work contributes to understanding the relationship between literary production and cultural globalization.[4]

Publications

  • “Literary Festivals as Makers of the Global Novel.” Literature Compass, 2025.
  • “INSOLVENT POETRY: Publishing Economics and the Avant-Garde in Latin America.”
  • “Writer’s documentary figures or the rise of literary documentaries: The 327 cuadernos of Ricardo Piglia.”
  • “The Boom is me: Vargas Llosa has shared his interviews.” Bulletin of Hispanic Studies, 2024.

These publications collectively demonstrate sustained scholarly engagement with literary globalization, documentary narratives, cultural criticism, and Latin American literary studies.[5]

Research Impact

Ana Gallego Cuiñas’s research contributes to contemporary literary scholarship through critical analyses of publishing systems, literary circulation, and transnational Hispanic narratives. Her interdisciplinary approach supports broader academic understanding of how literary production interacts with globalization, market structures, and cultural identity.[3]

Her citation profile and publication record reflect scholarly recognition within literary criticism and Hispanic studies communities. The integration of literary theory, publishing analysis, and cultural interpretation enhances the academic relevance of her contributions to modern literary research.[1]

Award Suitability

Ana Gallego Cuiñas demonstrates suitability for recognition within the Research Excellence Award category through her sustained contributions to Latin American literary studies and interdisciplinary cultural scholarship. Her research addresses globally relevant literary themes involving publishing economics, documentary narratives, cultural circulation, and literary globalization.[2]

Her publication profile reflects active engagement in scholarly literary discourse and contemporary Hispanic cultural analysis. Continued interdisciplinary collaboration and expanded international dissemination may further strengthen her academic visibility and influence within global literary research communities.

Conclusion

Ana Gallego Cuiñas has established a significant academic profile in Latin American literary studies and Hispanic cultural analysis through interdisciplinary literary scholarship and critical cultural research. Her contributions to publishing studies, documentary narratives, literary globalization, and contemporary Hispanic literary criticism demonstrate meaningful engagement with evolving literary and cultural discourses. Continued scholarly dissemination and broader international collaboration may further enhance her academic influence and contribution to global literary studies.[1]

References

  1. Elsevier. (2026). Scopus author details: Ana Gallego Cuiñas, Author ID 26035484100. Scopus Preview.https://www.scopus.com/authid/detail.uri?authorId=26035484100
  2. Gallego Cuiñas, A. (2025). Literary Festivals as Makers of the Global Novel. Literature Compass.https://doi.org/10.1111/lic3.70003
  3. Gallego Cuiñas, A. (2024). The Boom is me: Vargas Llosa has shared his interviews. Bulletin of Hispanic Studies.https://www.liverpooluniversitypress.co.uk/doi/abs/10.3828/bhs.2024.62
  4. Gallego Cuiñas, A. (2025). INSOLVENT POETRY: Publishing Economics and the Avant-Garde in Latin America. Book Chapter.https://www.taylorfrancis.com/chapters/edit/10.4324/9781003486459-18/insolvent-poetry-ana-gallego-cui%C3%B1as
  5. Gallego Cuiñas, A. (2024). Writer’s documentary figures or the rise of literary documentaries: The 327 cuadernos of Ricardo Piglia. Hispanic Literary Studies.https://www.researchgate.net/publication/394232389_Docufiguras_de_escritor_o_el_auge_de_los_documentales_literarios_los_327_cuadernos_de_Ricardo_Piglia

Anesh Manjaly Poulose | Rewards & Recognition | Research Excellence Award

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Dr. Anesh Manjaly Poulose | Rewards & Recognition | Research Excellence Award

Associate Professor | The University of King Saud University | Saudi Arabia

Dr. Anesh Manjaly Poulose is an accomplished researcher in polymer science and materials engineering, with scholarly contributions spanning polymer blends and composites, luminescent polymer systems, proton-conducting membranes, biomass-derived functional materials, and sustainable polymer technologies. His research emphasizes structure–property relationships, polymer crystallization, composite optimization, and advanced material characterization to address challenges in energy systems, environmental remediation, and high-performance industrial applications. The published work demonstrates interdisciplinary integration of polymer chemistry,33 documents, 1,091 citations, h-index: 16. processing, and functional material design, including studies on persistent luminescence, fuel cell electrolytes, nanocellulose-based composites, and agro-waste valorization. The author’s research outputs reflect consistent impact and relevance across materials science, chemical engineering, and applied polymer research.

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