Results 51 to 60 of about 36,325 (219)
RETRACTION: Z.‐B. Han, L. Zhong, M.‐J. Teng, J.‐W. Fan, H.‐M. Tang, J.‐Y. Wu, H.‐Y. Chen, Z.‐W. Wang, G.‐Q. Qiu, and Z.‐H. Peng, “Identification of Recurrence‐Related MicroRNAs in Hepatocellular Carcinoma following Liver Transplantation,” Molecular Oncology 6, no. 4 (2012): 445‐457, https://doi.org/10.1016/j.molonc.2012.04.001.
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Objective The diagnosis of fibromyalgia (FM) is challenging due to the absence of definitive biomarkers, numerous overlapping comorbidities and its reliance on patient‐reported symptoms. Discrepancies between diagnostic criteria and clinical practice imply the possibility of diagnostic biases, complicating timely and accurate identification. This study
Sung‐A Kim +2 more
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RETRACTION: LncRNA AATBC Regulates Pinin to Promote Metastasis in Nasopharyngeal Carcinoma
RETRACTION: T. Tang, L. Yang, Y. Cao, M. Wang, S. Zhang, Z. Gong, F. Xiong, Y. He, Y. Zhou, Q. Liao, B. Xiang, M. Zhou, C. Guo, X. Li, Y. Li, W. Xiong, G. Li, and Z. Zeng, “LncRNA AATBC Regulates Pinin to Promote Metastasis in Nasopharyngeal Carcinoma,” Molecular Oncology 14, no. 9 (2020): 2251‐2270, https://doi.org/10.1002/1878‐0261.12703.
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This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi +4 more
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Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
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A Bibliometric Analysis on the state of the art of Neuromarketing research in Web of Science
Neuromarketing is an ever-evolving field and as such it is important to have an image on where we stand today regarding research about it. In order to study the state of the art of neuromarketing research in Web of Science, we carried out a bibliometric ...
Luis Camilo Ortigueira-Sánchez +1 more
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Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram +4 more
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A pneumatically actuated multi‐tissue microphysiological system is integrated with AI‐based machine vision and automatic sampling and replenishment systems. The platform allows for the emulation of translationally relevant long‐term pharmacokinetic exposure scenarios for multiple weeks while enabling longitudinal monitoring of response biomarkers ...
Jibbe Keulen +15 more
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Bibliometric analysis reveals rising global research on physical activity and elderly health, dominated by developed nations. Key hotspots include healthy aging, physical activity's mental health benefits, and VR exercise interventions. Promoting physical activity is vital for healthy aging, requiring greater technology integration and research from ...
Hongman Wang +3 more
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Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
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