Boxplots displaying <i>KL</i> divergence results, indicating variability of key topological metrics obtained after multiple algorithm runs for the generation of chorionic vessels (A) and villous vessels (B-D).

Boxplots displaying <i>KL</i> divergence results, indicating variability of key topological metrics obtained after multiple algorithm runs for the generation of chorionic vessels (A) and villous vessels (B-D).

<p>Each output metric is modeled as a Gaussian distribution, and <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012470#pcbi.1012470.e090" target="_blank">Eq 24</a> calculates the <i>KL</i> divergence between pairs of Gaus...

وصف كامل

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Diana C. de Oliveira (9220729) (author)
مؤلفون آخرون:	Hani Cheikh Sleiman (19812765) (author), Kelly Payette (17584953) (author), Jana Hutter (9649694) (author), Lisa Story (9649688) (author), Joseph V. Hajnal (15217415) (author), Daniel C. Alexander (9466684) (author), Rebecca J. Shipley (11098888) (author), Paddy J. Slator (19812768) (author)
منشور في:	2024
الموضوعات:	Biophysics Physiology Biotechnology Evolutionary Biology Developmental Biology Infectious Diseases Plant Biology Computational Biology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified yielding vascular structures unlike previous volume sensitivity analysis highlights generating vascular structures facilitating oxygen exchange different topological metrics following branching laws branching angles play placental vascular network placental health issues novel generative algorithm flexible generative algorithm vascular architecture correlates key morphological parameters vessel length variations ex vivo </ morphological parameters vivo </ vessel length branching angle vessel diameter silico </ placental vasculatures placental vasculature placental shape placental function xlink "> successful pregnancy pivotal role physiologically underpinned nutrient transport murray ’ law ), input settings individual components filling algorithms early detection controlled customisation complete structure chorionic vessels
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

مواد مشابهة

Boxplots showcasing variability of additional key topological metrics obtained after 50 algorithm runs for the generation of a) chorionic vessels and b) villous vessels.
حسب: Diana C. de Oliveira (9220729)
منشور في: (2024)

Tuneable algorithm input parameters for villous vessels generation with suggested literature-based estimates.
حسب: Diana C. de Oliveira (9220729)
منشور في: (2024)

Heatmap results from the global sensitivity analysis for the generation of chorionic vessels.
حسب: Diana C. de Oliveira (9220729)
منشور في: (2024)

Heatmap results from the global sensitivity analysis for the generation of villous vessels within a placentone.
حسب: Diana C. de Oliveira (9220729)
منشور في: (2024)

Tuneable algorithm input parameters for chorionic vessel generation with suggested literature-based estimates.
حسب: Diana C. de Oliveira (9220729)
منشور في: (2024)

Elementary effects (EE) results for chorionic vessel generation employing the input parameter ranges from Table 1.
حسب: Diana C. de Oliveira (9220729)
منشور في: (2024)

Elementary effects (EE) results for the generation of villous vessels within a placentone employing the input parameter ranges from Table 1.
حسب: Diana C. de Oliveira (9220729)
منشور في: (2024)

Tuneable algorithm input parameters for placentone domain generation with suggested literature-based estimates.
حسب: Diana C. de Oliveira (9220729)
منشور في: (2024)

Tuneable algorithm input parameters for the generation of placental size and shape and cord insertion with suggested literature-based estimates.
حسب: Diana C. de Oliveira (9220729)
منشور في: (2024)

Generated feto-placental vasculature morphological properties and key topological metrics, obtained with main input parameters as described in previous sections.
حسب: Diana C. de Oliveira (9220729)
منشور في: (2024)

Input settings for the analysis of three placentone cases.
حسب: Diana C. de Oliveira (9220729)
منشور في: (2024)

Input settings for the analysis of the whole feto-placental vasculature.
حسب: Diana C. de Oliveira (9220729)
منشور في: (2024)

Analysis of stochastic effects.
حسب: Diana C. de Oliveira (9220729)
منشور في: (2024)

Sensitivity analysis settings.
حسب: Diana C. de Oliveira (9220729)
منشور في: (2024)

Placentone fetal trees of up to 15 branching generations, created for three distinct topological cases.
حسب: Diana C. de Oliveira (9220729)
منشور في: (2024)

Comparison of key mean topological metrics for three distinct placentones.
حسب: Diana C. de Oliveira (9220729)
منشور في: (2024)

Vascular density computed for feto-placental vasculatures at an isotropic voxel size of 116.5 <i>μ</i>m.
حسب: Diana C. de Oliveira (9220729)
منشور في: (2024)

Feto-placental vasculatures with non-central (A) and centralised (B) umbilical artery insertion.
حسب: Diana C. de Oliveira (9220729)
منشور في: (2024)

Example of feto-placental vasculature generated in the case of a non-central umbilical cord insertion.
حسب: Diana C. de Oliveira (9220729)
منشور في: (2024)

Schematic showcasing main steps involved in the generation of a new daughter node <i>C</i><sub><i>i</i></sub> and subsequently a new branch <i>B</i><sub><i>i</i></sub>.
حسب: Diana C. de Oliveira (9220729)
منشور في: (2024)

Placentone representation.
حسب: Diana C. de Oliveira (9220729)
منشور في: (2024)

User options and main steps of the generative algorithm.
حسب: Diana C. de Oliveira (9220729)
منشور في: (2024)

Schematic representation of important placental morphological parameters.
حسب: Diana C. de Oliveira (9220729)
منشور في: (2024)

Schematic representation of the placenta and feto-placental vascular structures.
حسب: Diana C. de Oliveira (9220729)
منشور في: (2024)

Placentone fetal trees generated with different global branch distribution penalty weights while keeping other input parameters fixed.
حسب: Diana C. de Oliveira (9220729)
منشور في: (2024)

Table4_Transcriptomic profiling with vascular tension analyses reveals molecular targets and phenotypes in preeclamptic placental vasculature.xlsx
حسب: Eryun Zhang (20172057)
منشور في: (2024)

Table1_Transcriptomic profiling with vascular tension analyses reveals molecular targets and phenotypes in preeclamptic placental vasculature.docx
حسب: Eryun Zhang (20172057)
منشور في: (2024)

Table2_Transcriptomic profiling with vascular tension analyses reveals molecular targets and phenotypes in preeclamptic placental vasculature.xlsx
حسب: Eryun Zhang (20172057)
منشور في: (2024)

Table3_Transcriptomic profiling with vascular tension analyses reveals molecular targets and phenotypes in preeclamptic placental vasculature.xlsx
حسب: Eryun Zhang (20172057)
منشور في: (2024)

Table 1_High-throughput sequencing unravels placental vascular dysfunction and oxidative stress as mechanistic drivers of advanced maternal age-associated pregnancy.docx
حسب: Xin Sun (127355)
منشور في: (2025)

<b>CIH & Placental Stress Response: Supplementary Materials</b>
حسب: Styliani Goulopoulou (14515235)
منشور في: (2025)

Data Sheet 1_Physiological stage-dependent effects of Mycobacterium tuberculosis on human placental tissue: insights into early reactivation and immune modulation.zip
حسب: Monica Selena Fonseca-Perez (22817606)
منشور في: (2025)

Data collected from pregnant women for the analysis of placental anemia, placental malaria, Cytokines and birth anthropometric indices
حسب: Bamgboye Morakinyo Afolabi (16838970)
منشور في: (2025)

Association of placental weight and placental-fetal weight ratio with DNA methylation in placenta
حسب: Suvo Chatterjee (10290078)
منشور في: (2025)

Placental variants analyzed for placental genetic heterogeneity
حسب: Ieva Miceikaite (19931229)
منشور في: (2024)

Clinical characteristics and obstetric outcomes of women recruited in this study for serum.
حسب: Marianna Onori (21560575)
منشور في: (2025)

a-c: Scatter plot representing the correlation between placental NLRP-3 (a), IL-1β (b) and D6 (c) expression with maternal BMI. NLRP-3: NLR family pyrin domain containing 3; IL-1β: interleukin 1 beta; CRD6: chemokine scavenger decoy receptor D6; BMI: body mass index.
حسب: Marianna Onori (21560575)
منشور في: (2025)

Immunofluorescence staining of CK7, NLRP-3, D6 and DAPI in placenta of GDM woman (A-D) and of normal pregnant women (E-H).
حسب: Marianna Onori (21560575)
منشور في: (2025)

a-b, d-e, g-h: Representative micrographs of immunohistochemical staining for NLRP-3 (a,b), IL-1β (d,e) and <i>D6 (g,h) of placentas from normal pregnant women (a,d,g) and GDM women (b,e,h). c,f and i: Histograms representing placental expression of NLRP-3 (c)</i> IL-1β <i>(f) and D6 (i) in GDM cases and controls. CTR: controls; GDM: gestational diabetes mellitus; NLRP-3:</i> NLR family pyrin domain containing 3; IL-1β: interleukin 1 beta; CRD6: chemokine scavenger decoy receptor D6. Data are expressed as mean±SD. *p < 0.05; ns = not significant; (Scale Bar: 100 µm).
حسب: Marianna Onori (21560575)
منشور في: (2025)

a-c: Scatter plot representing the correlation between serum CCL-2 (a), CCL-4 (b) and IFN-γ (c) levels with maternal BMI. IFN-γ: interferon-γ; CCL: chemokine ligands; BMI: body mass index.
حسب: Marianna Onori (21560575)
منشور في: (2025)

Cannot write session to /tmp/vufind_sessions/sess_0g4pb3201fm97c8e8tpi9s8pjp