Results 41 to 50 of about 270,130 (220)

Retractions in Rheumatology: Trends, Causes, and Implications for Research Integrity

Arthritis Care &Research, EarlyView.
Objective We aimed to describe the trends and main reasons for study retraction in rheumatology literature. Methods We reviewed the Retraction Watch database to identify retracted articles in rheumatology. We recorded the main study characteristics, authors’ countries, reasons for retraction, time from publication to retraction, and trends over time ...
Anna Maria Vettori, Michele Iudici
wiley   +1 more source

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

Arthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos, José Miguel Sequí‐Sabater, Diego Benavent   +2 more
wiley   +1 more source

Artificial Intelligence–Based Online Symptom Assessment Tools for Systemic Lupus Erythematosus Diagnosis: Patient Perspectives

Arthritis Care &Research, EarlyView.
Objective The objective of this article is to identify perceptions of patients with systemic lupus erythematosus (SLE) regarding artificial intelligence (AI)–based online symptom assessment tools, and the potential of these tools to address diagnostic barriers.
Olivia A. Stein, Jennifer L. F. Lee, Evelyne Vinet, Arielle Mendel, Christian A. Pineau, Fares Kalache, Louis‐Pierre Grenier, Sasha Bernatsky   +7 more
wiley   +1 more source

Improving protein and protein interactions using pseudo-dimers derived from monomeric proteins

Nature Communications
Accurately predicting protein-protein interactions (PPIs) in dimeric complexes remains a fundamental challenge in computational biology. Although existing PPIs prediction models, such as AlphaFold-Multimer (AF-Multimer) and AlphaFold3 (AF3), have ...
Hao Du, Xinzhe Zheng, Yuchen Ren, He Huang, Xinqi Gong, Wanli Ouyang, Yang Zhang, Yan Lu   +7 more
doaj   +1 more source

Quantitative and qualitative assessment of air-conditioner condensate as a supplementary urban water resource

Desalination and Water Treatment
This study demonstrates that condensate generated by air-conditioning systems in administrative buildings in Saveh, Iran, represents a potentially valuable supplementary water resource in arid urban environments.
Edris Hoseinzadeh, Aida Zendeh-Nam, Ahmad Parchekani   +2 more
doaj   +1 more source

Engagement Patterns With an Artificial Intelligence Health Coach for Systemic Sclerosis Self‐Management: A Mixed Methods Study

Arthritis Care &Research, EarlyView.
Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah, Melanie Morris, Cristina Daraban, Sophia Johnson, Susan L. Murphy   +4 more
wiley   +1 more source

Neural network-based approach to evaluate convective hazards frequency shift under climate change

Frontiers in Climate
This study addresses challenges in predicting extreme weather events, including intense rainfall, hail, and strong winds. Such events pose significant threats to infrastructure and human life, and their frequency has been increasing due to climate change.
Mikhail Mozikov, Daria Taniushkina, Daria Taniushkina, Daria Taniushkina, Alexander Bulkin, Yuanchao Liu, Nazar Sotiriadi, Andrey Osiptsov, Roman Sultimov, Roman Sultimov, Ilya Makarov, Yury Maximov   +11 more
doaj   +1 more source

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

Advanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source

A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data

Advanced Engineering Materials, EarlyView.
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour, Prithwish Tarafder, Anton Wiberg, Huanyu Li, Johan Moverare, Patrick Lambrix   +5 more
wiley   +1 more source

Manipulating metabolism-reprogrammed monocytic-MDSCs prevents colitis-associated dysplasia by IL-10/HIF-1α/DLL4 signaling

Pharmacological Research
Dysplasia has been described in various inflammatory environments. However, the mechanisms underlying the dysplastic transformation of the intestinal epithelium and the increased risk of colorectal cancer in colitis patients are not yet fully understood.
Yirui Wang, Jiahui Ni, Guize Feng, Yan You, Keyuan You, Weilian Bao, Tongqing Chen, Lijie Zhang, Xinyue Cao, Xu Wang, Yuran Huang, Hong Li, Zhiwen Yang, Yuan Qi, Xiaoyan Shen   +14 more
doaj   +1 more source