Search alternatives:
marked decrease » marked increase (Expand Search)
large decrease » larger decrease (Expand Search), large increases (Expand Search), large degree (Expand Search)
were decrease » we decrease (Expand Search), mean decrease (Expand Search), teer decrease (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
marked decrease » marked increase (Expand Search)
large decrease » larger decrease (Expand Search), large increases (Expand Search), large degree (Expand Search)
were decrease » we decrease (Expand Search), mean decrease (Expand Search), teer decrease (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
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Feasibility of AI-powered assessment scoring: Can large language models replace human raters?
Published 2025“…<p><b>Objective:</b> To assess the feasibility, accuracy, and reliability of using ChatGPT-4.5 (early-access), a large language model (LLM), for automated scoring of Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS) protocols. …”
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Global Land Use Change Impacts on Soil Nitrogen Availability and Environmental Losses
Published 2025“…Structural equation modeling revealed that land use change induced changes in soil properties, including organic matter content, bulk density, microbial biomass and pH, and anthropogenic activities, including application of ammonium-based fertilizers and manure, were the most important factors regulating NNM and NN. …”
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Data Sheet 1_Emotional prompting amplifies disinformation generation in AI large language models.docx
Published 2025“…Introduction<p>The emergence of artificial intelligence (AI) large language models (LLMs), which can produce text that closely resembles human-written content, presents both opportunities and risks. …”
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Flow chart of data screening and analysis.
Published 2025“…The obtained data were imported into Excel, CiteSpace, and VOSviewer software and screened to identify high-frequency animal models. …”
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Image 7_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif
Published 2025“…</p>Methods<p>In this study, we applied the HuProt array and the bioinformatics analysis to assess the diagnostic values of the decreased autoantibodies in lung cancers.</p>Results<p>In total, 15 types of decreased autoantibodies were identified, and 6 of them were constructed into a predictive model for early lung cancer, reaching a sensitivity of 76.19% and a specificity of 55.74%. …”
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Image 6_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif
Published 2025“…</p>Methods<p>In this study, we applied the HuProt array and the bioinformatics analysis to assess the diagnostic values of the decreased autoantibodies in lung cancers.</p>Results<p>In total, 15 types of decreased autoantibodies were identified, and 6 of them were constructed into a predictive model for early lung cancer, reaching a sensitivity of 76.19% and a specificity of 55.74%. …”
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Image 3_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif
Published 2025“…</p>Methods<p>In this study, we applied the HuProt array and the bioinformatics analysis to assess the diagnostic values of the decreased autoantibodies in lung cancers.</p>Results<p>In total, 15 types of decreased autoantibodies were identified, and 6 of them were constructed into a predictive model for early lung cancer, reaching a sensitivity of 76.19% and a specificity of 55.74%. …”
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Image 1_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif
Published 2025“…</p>Methods<p>In this study, we applied the HuProt array and the bioinformatics analysis to assess the diagnostic values of the decreased autoantibodies in lung cancers.</p>Results<p>In total, 15 types of decreased autoantibodies were identified, and 6 of them were constructed into a predictive model for early lung cancer, reaching a sensitivity of 76.19% and a specificity of 55.74%. …”
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Image 2_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif
Published 2025“…</p>Methods<p>In this study, we applied the HuProt array and the bioinformatics analysis to assess the diagnostic values of the decreased autoantibodies in lung cancers.</p>Results<p>In total, 15 types of decreased autoantibodies were identified, and 6 of them were constructed into a predictive model for early lung cancer, reaching a sensitivity of 76.19% and a specificity of 55.74%. …”
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Image 4_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif
Published 2025“…</p>Methods<p>In this study, we applied the HuProt array and the bioinformatics analysis to assess the diagnostic values of the decreased autoantibodies in lung cancers.</p>Results<p>In total, 15 types of decreased autoantibodies were identified, and 6 of them were constructed into a predictive model for early lung cancer, reaching a sensitivity of 76.19% and a specificity of 55.74%. …”
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Image 5_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif
Published 2025“…</p>Methods<p>In this study, we applied the HuProt array and the bioinformatics analysis to assess the diagnostic values of the decreased autoantibodies in lung cancers.</p>Results<p>In total, 15 types of decreased autoantibodies were identified, and 6 of them were constructed into a predictive model for early lung cancer, reaching a sensitivity of 76.19% and a specificity of 55.74%. …”