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step decrease » sizes decrease (Expand Search), teer decrease (Expand Search), we decrease (Expand Search)
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101841
Image 3_Exercise intolerance in patients with chronic coronary syndrome: insights from exercise stress echocardiography.tiff
Published 2024“…</p>Conclusion<p>Hemodynamic changes during exercise in CCS patients were effectively evaluated using ESE. An elevated peak EDVi/E/e’ and a decreased ΔSVi are independent risk factors for exercise intolerance in patients with CCS.…”
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101842
Image 1_Exercise intolerance in patients with chronic coronary syndrome: insights from exercise stress echocardiography.tiff
Published 2024“…</p>Conclusion<p>Hemodynamic changes during exercise in CCS patients were effectively evaluated using ESE. An elevated peak EDVi/E/e’ and a decreased ΔSVi are independent risk factors for exercise intolerance in patients with CCS.…”
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101843
Image 2_Exercise intolerance in patients with chronic coronary syndrome: insights from exercise stress echocardiography.tiff
Published 2024“…</p>Conclusion<p>Hemodynamic changes during exercise in CCS patients were effectively evaluated using ESE. An elevated peak EDVi/E/e’ and a decreased ΔSVi are independent risk factors for exercise intolerance in patients with CCS.…”
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101844
Characterization of septin 7 expression intensity on lymphocyte subsets by flow cytometry.
Published 2014“…Histograms of representative specimen showed unchanged expression in B cells (A + E, CD21). In T cells, septin 7 expression intensity decreased to 75% (B + E, CD4) and 73% (C + E, CD8) of physiological expression level. …”
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101845
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101846
Australian Company Results by Fine Industry 2000-2012 per Tax Office
Published 2017“…<p>Changelog:</p><p>v2: provide sample analysis (graphs) in Word, Pages and PDF format. …”
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101847
Quantitative Comparison of Constitutive Promoters in Human ES cells
Published 2010“…During embryoid body (EB) differentiation, promoter activities of all five promoters decreased. Although the EF1α promoter was downregulated in approximately 50% of the cells, it was the most stable promoter during differentiation. …”
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101848
Image_1_Distinct sociodemographic differences in incidence and survival rates for human papillomavirus (HPV)-like, non-HPV-like, and “other”-like oral cavity and pharynx cancers: A...
Published 2022“…Purpose<p>Oral cavity and pharynx cancer (OCPC) cases are traditionally dichotomized into human papillomavirus (HPV) and non-HPV types. Using a proxy for HPV status, the objective was to evaluate differences in incidence and survival rates of OCPC anatomic sub-sites identified as: 1) HPV-like; 2) non-HPV-like (i.e., tobacco/alcohol-related); and 3) “other”-like (i.e., not predominantly HPV-like nor tobacco/alcohol-like) OCPCs.…”
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101849
Image_1_Distinct sociodemographic differences in incidence and survival rates for human papillomavirus (HPV)-like, non-HPV-like, and “other”-like oral cavity and pharynx cancers: A...
Published 2022“…Purpose<p>Oral cavity and pharynx cancer (OCPC) cases are traditionally dichotomized into human papillomavirus (HPV) and non-HPV types. Using a proxy for HPV status, the objective was to evaluate differences in incidence and survival rates of OCPC anatomic sub-sites identified as: 1) HPV-like; 2) non-HPV-like (i.e., tobacco/alcohol-related); and 3) “other”-like (i.e., not predominantly HPV-like nor tobacco/alcohol-like) OCPCs.…”
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101850
DataSheet1_Steroid implants for the induction of vitellogenesis in feminized European silver eels (Anguilla anguilla L.).docx
Published 2022“…For many parameters, both the 17 MT and E2 groups showed an increase vs. controls, with the 17 MT + E2 group showing a synergistic effect, as seen for EI, GSI (3.4 for 17 MT and for E2, 6.6 for 17 MT + E2), oocyte diameter and ara, arb and esr1 expression. …”
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101851
SIRT1 expression correlates with c-Myc expression in Tet-O-MYC cells and influence on proliferation of cells.
Published 2012“…E) Nicotinamide (NAM), a SIRT1 inhibitor, significantly decreases the proliferation of both MYC-ON and MYC-OFF cells. …”
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101852
Differential gene expression in <i>lso2Δ</i> correlates with start codon pausing.
Published 2018“…<i>LSO2</i> (log<sub>2</sub> fold change = −9.61, <i>p</i>-adjusted = 3.00E-18) is omitted for space. (B) Gene Ontology annotations and <i>p</i>-values of enrichment for the DESeq-decreased and DESeq-increased categories, respectively. …”
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101853
Table3_Machine learning combining multi-omics data and network algorithms identifies adrenocortical carcinoma prognostic biomarkers.xlsx
Published 2023“…The discriminative power of the multi-omics signature and their regulators was delineated by training a random forest classifier using 55 samples, by employing a 10-fold cross validation with five iterations. …”
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101854
Table1_Machine learning combining multi-omics data and network algorithms identifies adrenocortical carcinoma prognostic biomarkers.xlsx
Published 2023“…The discriminative power of the multi-omics signature and their regulators was delineated by training a random forest classifier using 55 samples, by employing a 10-fold cross validation with five iterations. …”
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101855
DataSheet2_Machine learning combining multi-omics data and network algorithms identifies adrenocortical carcinoma prognostic biomarkers.PDF
Published 2023“…The discriminative power of the multi-omics signature and their regulators was delineated by training a random forest classifier using 55 samples, by employing a 10-fold cross validation with five iterations. …”
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101856
DataSheet1_Machine learning combining multi-omics data and network algorithms identifies adrenocortical carcinoma prognostic biomarkers.PDF
Published 2023“…The discriminative power of the multi-omics signature and their regulators was delineated by training a random forest classifier using 55 samples, by employing a 10-fold cross validation with five iterations. …”
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101857
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101858
DataSheet3_Machine learning combining multi-omics data and network algorithms identifies adrenocortical carcinoma prognostic biomarkers.PDF
Published 2023“…The discriminative power of the multi-omics signature and their regulators was delineated by training a random forest classifier using 55 samples, by employing a 10-fold cross validation with five iterations. …”
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101859
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101860
Table2_Machine learning combining multi-omics data and network algorithms identifies adrenocortical carcinoma prognostic biomarkers.XLSX
Published 2023“…The discriminative power of the multi-omics signature and their regulators was delineated by training a random forest classifier using 55 samples, by employing a 10-fold cross validation with five iterations. …”