بدائل البحث:
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
complement based » complement past (توسيع البحث), complement cascade (توسيع البحث), complement system (توسيع البحث)
coding algorithm » cosine algorithm (توسيع البحث), modeling algorithm (توسيع البحث), finding algorithm (توسيع البحث)
level coding » level according (توسيع البحث), level modeling (توسيع البحث), level using (توسيع البحث)
element » elements (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
complement based » complement past (توسيع البحث), complement cascade (توسيع البحث), complement system (توسيع البحث)
coding algorithm » cosine algorithm (توسيع البحث), modeling algorithm (توسيع البحث), finding algorithm (توسيع البحث)
level coding » level according (توسيع البحث), level modeling (توسيع البحث), level using (توسيع البحث)
element » elements (توسيع البحث)
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601
Subtidal seagrass and blue carbon mapping at the regional scale: a cloud-native multi-temporal Earth Observation approach
منشور في 2024"…We developed a satellite-based workflow to complement <i>in situ</i> seagrass monitoring efforts in the Balearic Islands (Western Mediterranean), reducing field expenses while covering regional spatial scales. …"
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602
Mean squared Error on all unseen data.
منشور في 2025"…The first extension we consider is the case of graph signals that have only been partially recorded, meaning a subset of their elements is missing at observation time. Next, we examine the statistical effect of correlated prediction error and propose a method for Generalized Least Squares (GLS) on graphs. …"
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603
Possible graph filter functions.
منشور في 2025"…The first extension we consider is the case of graph signals that have only been partially recorded, meaning a subset of their elements is missing at observation time. Next, we examine the statistical effect of correlated prediction error and propose a method for Generalized Least Squares (GLS) on graphs. …"
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604
The notational conventions used in this paper.
منشور في 2025"…The first extension we consider is the case of graph signals that have only been partially recorded, meaning a subset of their elements is missing at observation time. Next, we examine the statistical effect of correlated prediction error and propose a method for Generalized Least Squares (GLS) on graphs. …"
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605
Survey Data on NSSI, Stress Response, Emotional Regulation Strategies and gender in Chinese Undergraduates
منشور في 2025"…</p><p dir="ltr"><b>Behavioral sub-questionnaire (AFASM1-12) :</b> Assesses NSSI with or without visible tissue damage</p><p dir="ltr"><b>Functional sub-questionnaire (BFASM1-19):</b> Measures three function types</p><ul><li><i>Automatic negative reinforcement: r</i>efers to engaging in NSSI to relieve or escape from an unpleasant internal state</li><li><i>Social positive reinforcement: </i>refers to engaging in NSSI to create a favorable state or to fulfill social needs</li><li><i>Emotional expression:</i>refers to engaging in NSSI as a means of expressing one’s emotional experiences</li></ul><p dir="ltr"><b>Scale:</b> 5-point Likert scale</p><h3><b>4.Gender</b></h3><ul><li>In this study, males were coded as “1” and females as “2”.</li></ul><p dir="ltr"><b>Usage Notes</b></p><ul><li></li><li>Each row represents one participant; columns include both item‑level and aggregated subscale scores.…"
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606
Table 1_Artificial intelligence in nursing: an integrative review of clinical and operational impacts.pdf
منشور في 2025"…Key concerns include data privacy risks, algorithmic bias, and the potential erosion of clinical judgment due to overreliance on technology. …"
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607
Table 2_Artificial intelligence in nursing: an integrative review of clinical and operational impacts.pdf
منشور في 2025"…Key concerns include data privacy risks, algorithmic bias, and the potential erosion of clinical judgment due to overreliance on technology. …"
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608
Table 3_Artificial intelligence in nursing: an integrative review of clinical and operational impacts.pdf
منشور في 2025"…Key concerns include data privacy risks, algorithmic bias, and the potential erosion of clinical judgment due to overreliance on technology. …"
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609
Image 1_Transcriptomic insights into the mechanism of action of telomere-related biomarkers in rheumatoid arthritis.tif
منشور في 2025"…Biomarkers were subsequently identified using machine learning algorithms, receiver operating characteristic analysis, and expression level comparisons between RA and control samples. …"
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610
Table 9_Transcriptomic insights into the mechanism of action of telomere-related biomarkers in rheumatoid arthritis.xlsx
منشور في 2025"…Biomarkers were subsequently identified using machine learning algorithms, receiver operating characteristic analysis, and expression level comparisons between RA and control samples. …"
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611
Table 6_Transcriptomic insights into the mechanism of action of telomere-related biomarkers in rheumatoid arthritis.xlsx
منشور في 2025"…Biomarkers were subsequently identified using machine learning algorithms, receiver operating characteristic analysis, and expression level comparisons between RA and control samples. …"
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612
Table 3_Transcriptomic insights into the mechanism of action of telomere-related biomarkers in rheumatoid arthritis.xlsx
منشور في 2025"…Biomarkers were subsequently identified using machine learning algorithms, receiver operating characteristic analysis, and expression level comparisons between RA and control samples. …"
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613
Table 7_Transcriptomic insights into the mechanism of action of telomere-related biomarkers in rheumatoid arthritis.xlsx
منشور في 2025"…Biomarkers were subsequently identified using machine learning algorithms, receiver operating characteristic analysis, and expression level comparisons between RA and control samples. …"
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614
Table 10_Transcriptomic insights into the mechanism of action of telomere-related biomarkers in rheumatoid arthritis.xlsx
منشور في 2025"…Biomarkers were subsequently identified using machine learning algorithms, receiver operating characteristic analysis, and expression level comparisons between RA and control samples. …"
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615
Table 2_Transcriptomic insights into the mechanism of action of telomere-related biomarkers in rheumatoid arthritis.xlsx
منشور في 2025"…Biomarkers were subsequently identified using machine learning algorithms, receiver operating characteristic analysis, and expression level comparisons between RA and control samples. …"
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616
Table 5_Transcriptomic insights into the mechanism of action of telomere-related biomarkers in rheumatoid arthritis.xlsx
منشور في 2025"…Biomarkers were subsequently identified using machine learning algorithms, receiver operating characteristic analysis, and expression level comparisons between RA and control samples. …"
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617
Table 8_Transcriptomic insights into the mechanism of action of telomere-related biomarkers in rheumatoid arthritis.xlsx
منشور في 2025"…Biomarkers were subsequently identified using machine learning algorithms, receiver operating characteristic analysis, and expression level comparisons between RA and control samples. …"
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618
Table 4_Transcriptomic insights into the mechanism of action of telomere-related biomarkers in rheumatoid arthritis.xlsx
منشور في 2025"…Biomarkers were subsequently identified using machine learning algorithms, receiver operating characteristic analysis, and expression level comparisons between RA and control samples. …"
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619
Table 1_Transcriptomic insights into the mechanism of action of telomere-related biomarkers in rheumatoid arthritis.xlsx
منشور في 2025"…Biomarkers were subsequently identified using machine learning algorithms, receiver operating characteristic analysis, and expression level comparisons between RA and control samples. …"
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620
3D Deformable cell based model.
منشور في 2025"…(<b>F</b>) Cell model algorithm, shown as pseudo code.</p>…"