Wave and Tidal Energy: A Patent Landscape Study DOI Creative Commons

Mohamadreza Pazhouhan,

Amin Karimi Mazraeshahi,

Mohammad Jahanbakht

et al.

Journal of Marine Science and Engineering, Journal Year: 2024, Volume and Issue: 12(11), P. 1967 - 1967

Published: Nov. 1, 2024

Wave and tidal energy, recognized as vital renewable resources, harness the ocean’s kinetic potential power. This study aims to provide an in-depth patent analysis of technological landscape within these sectors. We applied a dual approach: first, descriptive was conducted explore publication trends, technology lifecycle stages, activity by country, top assignees, IPC classifications. Our provided detailed overview sector’s growth key players involved. Second, we utilized topic modeling, specifically BERTopic enhanced with large language models, identify fine-tune themes data. In this study, identified seven distinct clusters each for wave energy using approach. method led novel categorization patents, revealing latent Although our differs from traditional methods, it provides deeper insights into thematic focus highlighting emerging trends areas innovation technologies better exploit optimize ocean conversion infrastructure.

Language: Английский

Two Decades of Rheumatology Research (2000-2023): A Dynamic Topic Modeling Perspective DOI Creative Commons
Alfredo Madrid-García, D. Freites, Luis Rodríguez‐Rodríguez

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: June 9, 2024

Abstract Background Rheumatology has experience notably changes in last decades. New drugs, including biologic agents and janus kinase inhibitors, have bloosom. Concepts such as window of opportunity , arthralgia suspicious for progression or difficult-to-treat rheumatoid arthritis appeared; new management approaches strategies treat-to-target become popular. Statistical learning methods, gene therapy, telemedicine precision medicine are other advancements that gained relevance the field. To better characterise research landscape advances rheumatology, automatic efficient based on natural language processing should be used. The objective this study is to use topic modeling techniques uncover key topics trends rheumatology conducted 23 years. Methods This analysed 96,004 abstracts published between 2000 December 31, 2023, drawn from 34 specialised journals obtained PubMed. BERTopic, a novel approach considers semantic relationships among words their context, was used topics. Up 30 different models were trained. Based number topics, outliers coherence score, two them finally selected, manually labeled by rheumatologists. Word clouds hierarchical clustering visualizations computed. Finally, hot cold identified using linear regression models. Results Abstracts classified into 45 47 most frequent arthritis, systemic lupus erythematosus osteoarthritis. Expected COVID-19 JAK inhibitors after conducting dynamic modeling. Topics spinal surgery bone fractures years, however, antiphospholipid syndrome, septic lost momentum. Conclusions Our utilized advanced analyse landscape, identify themes emerging trends. results highlight varied nature research, illustrating how interest certain shifted over time.

Language: Английский

Citations

2
Topic Modeling of Neuropsychiatric Diseases Related to Gut Microbiota and Gut Brain Axis Using Artificial Intelligence Based BERTopic Model on PubMed Abstracts DOI Creative Commons
Ashok Kumar,

Avi Karamchandani,

Sourabh Singh

et al.

Neuroscience Informatics, Journal Year: 2024, Volume and Issue: 4(4), P. 100175 - 100175

Published: Sept. 10, 2024

Language: Английский

Citations

2
Which Narcissists are More Stressed? The Link between Narcissistic Forms and Stress Experience in a Five-Day Diary Study DOI
Michał Sękowski, Jarosław Piotrowski, Bartłomiej Nowak

et al.

Published: Jan. 1, 2024

Language: Английский

Citations

1
Mapping two decades of research in rheumatology-specific journals: a topic modeling analysis with BERTopic DOI Creative Commons
Alfredo Madrid-García, D. Freites, Beatriz Merino‐Barbancho

et al.

Therapeutic Advances in Musculoskeletal Disease, Journal Year: 2024, Volume and Issue: 16

Published: Jan. 1, 2024

Rheumatology has experienced notable changes in the last decades. New drugs, including biologic agents and Janus kinase (JAK) inhibitors, have blossomed. Concepts such as window of opportunity, arthralgia suspicious for progression, or difficult-to-treat rheumatoid arthritis (RA) appeared; new management approaches strategies treat-to-target become popular. Statistical learning methods, gene therapy, telemedicine, precision medicine are other advancements that gained relevance field. To better characterize research landscape advances rheumatology, automatic efficient based on natural language processing (NLP) should be used.

Language: Английский

Citations

1
Image Compression for Communication: Topic Modelling of Scopus Abstracts Using BERTopic DOI

Chanambam Mokaju Meitei,

Sanju Dabas,

Ashok Kumar

et al.

2022 25th International Symposium on Wireless Personal Multimedia Communications (WPMC), Journal Year: 2024, Volume and Issue: unknown, P. 1 - 6

Published: Nov. 17, 2024

Language: Английский

Citations

0
Wave and Tidal Energy: A Patent Landscape Study DOI Creative Commons

Mohamadreza Pazhouhan,

Amin Karimi Mazraeshahi,

Mohammad Jahanbakht

et al.

Journal of Marine Science and Engineering, Journal Year: 2024, Volume and Issue: 12(11), P. 1967 - 1967

Published: Nov. 1, 2024

Wave and tidal energy, recognized as vital renewable resources, harness the ocean’s kinetic potential power. This study aims to provide an in-depth patent analysis of technological landscape within these sectors. We applied a dual approach: first, descriptive was conducted explore publication trends, technology lifecycle stages, activity by country, top assignees, IPC classifications. Our provided detailed overview sector’s growth key players involved. Second, we utilized topic modeling, specifically BERTopic enhanced with large language models, identify fine-tune themes data. In this study, identified seven distinct clusters each for wave energy using approach. method led novel categorization patents, revealing latent Although our differs from traditional methods, it provides deeper insights into thematic focus highlighting emerging trends areas innovation technologies better exploit optimize ocean conversion infrastructure.

Language: Английский

Citations

0