Showing 1 - 20 results of 3,340 for search '(( ai large decrease ) OR ((( six ((nn decrease) OR (a decrease)) ) OR ( a large decrease ))))', query time: 0.60s Refine Results
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    Data Sheet 1_Emotional prompting amplifies disinformation generation in AI large language models.docx by Rasita Vinay (21006911)

    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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    Data from: Colony losses of stingless bees increase in agricultural areas, but decrease in forested areas by Malena Sibaja Leyton (18400983)

    Published 2025
    “…</p><p><br></p><p dir="ltr">The data are related to the scientific paper “Sibaja Leyton M. et al., (under review) Colony losses of stingless bees increase in agricultural areas, but decrease in forested areas”.</p><p dir="ltr">Data are available as a csv file titled:</p><p dir="ltr">"Sibaja_Leyton_et_al_Dataset_Stingless_Bee_Colony_Losses_in_Latin_America.csv".…”
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    Feasibility of AI-powered assessment scoring: Can large language models replace human raters? by Michael Jaworski III (22156096)

    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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    Inhibition of NEAT1 decreased the miR-204-5p expression and increased Six1 expression. by Lei Li (29537)

    Published 2024
    “…<p>(A) NEAT1 expression following siRNA transfection in BEAS-2B cells; (B-D) The expression of NEAT1, miR-204-5p, and Six1 after decreasing NEAT1 expression. * p <0.05, *** p < 0.001, and **** p <0.0001.…”
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    Table 1_Effect of decreased suspended sediment content on chlorophyll-a in Dongting Lake, China.docx by Le Zhang (88249)

    Published 2025
    “…The reduction in SSC may influence chlorophyll-a (Chl-a) concentrations in water, thereby further affecting the aquatic ecological environment. …”
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    A novel RNN architecture to improve the precision of ship trajectory predictions by Martha Dais Ferreira (18704596)

    Published 2025
    “…This research proposes a new RNN architecture that decreases the prediction error up to 50% for cargo vessels when compared to the OU model. …”
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    Forest–water interactions: a multilingual perspective through six historical vignettes by Delphis F. Levia (4509637)

    Published 2025
    “…For example, the French vignette focuses on the search for the hydrological role of forests, while the Russian vignette conveys an interesting example of phytoremediation and the role of evapotranspiration in decreasing malaria risk. In conjunction with a timeline for historical context, along with the identification of some seminal papers, these vignettes convey the important hydrological work of these earlier researchers, bringing some largely unrecognized work to light, thereby illuminating the historical scientific development of forest–water interactions and giving rightful credit to those pioneers who conducted the work.…”
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    <b>Supporting data for manuscript</b> "<b>Voluntary locomotion induces an early and remote hemodynamic decrease in the large cerebral veins</b>" by Kira Shaw (18796168)

    Published 2025
    “…<p dir="ltr">The CSV file 'Eyreetal_DrainingVein_SourceData' contains the averaged time series traces and extracted metrics from individual experiments used across Figures 1-5 in the manuscript "Voluntary locomotion induces an early and remote hemodynamic decrease in the large cerebral veins". The following acronyms included in the CSV file are defined as follows: Hbt is total hemoglobin, Art is artery region, DV is draining vein region, WV is whisker vein region, SEM is standard error mean, TS is time series, max peak is maximum peak, min peak is minima, AUC is area under the curve, WT is wild-type, AD is Alzheimer's disease, ATH is atherosclerosis and MIX is mixed AD/atherosclerosis. …”
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