Showing 61 - 80 results of 47,854 for search '(( i large increases ) OR ((( ai large increases ) OR ( via ((mean decrease) OR (a decrease)) ))))', query time: 0.78s Refine Results
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    For 1,000 random y(0). by Xi Chen (35903)

    Published 2021
    Subjects:
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    Data_Sheet_1_Decreasing the Surgical Errors by Neurostimulation of Primary Motor Cortex and the Associated Brain Activation via Neuroimaging.PDF by Yuanyuan Gao (448666)

    Published 2021
    “…Transcranial electrical stimulation (tES) is a promising means of enhancing simple motor skill development via neuromodulatory mechanisms. …”
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    <b>Enhancing Human-AI Interactions: The Impact of Pseudo-code Engineering on Improving Predictability and Stability in Large Language Models</b> - Appendix A by Gian Michaelsen (18824614)

    Published 2024
    “…<p dir="ltr">This research focuses on an innovative approach to enhancing the predictability and stability of interactions between humans and Large Language Models (LLMs), such as ChatGPT, through the use of pseudo-code. …”
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    Data_Sheet_1_Application of a nomogram model for the prediction of 90-day poor outcomes following mechanical thrombectomy in patients with acute anterior circulation large-vessel o... by Xia Li (14984)

    Published 2024
    “…Moreover, five variables, namely, age (odds ratio [OR]: 1.049, 95% CI [1.016–1.083]; p = 0.003), glucose level (OR: 1.163, 95% CI [1.038–1.303]; p = 0.009), baseline National Institute of Health Stroke Scale (NIHSS) score (OR: 1.066, 95% CI [0.995–1.142]; p = 0.069), unsuccessful recanalization (defined as a TICI grade of 0 to 2a) (OR: 3.730, 95% CI [1.688–8.245]; p = 0.001), and early neurological deterioration (END, defined as an increase of ≥4 points between the baseline NIHSS score and the NIHSS score at 24 h after MT) (OR: 3.383, 95% CI [1.411–8.106]; p = 0.006), were included in the nomogram to predict the potential risk of poor outcomes at 90 days following MT in LVO patients, with a C-index of 0.763 (0.693–0.832) in the training set and 0.804 (0.719–0.889) in the validation set.…”
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