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Related Concept Videos

Machines01:19

Machines

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Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
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Machines: Problem Solving II01:30

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Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
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Hypertension I: Introduction01:28

Hypertension I: Introduction

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Hypertension is a widespread, long-term medical condition where blood pressure in the arteries remains elevated. It is characterized by systolic blood pressure readings of 130 mm Hg or above or diastolic blood pressure (DBP) readings of 80 mm Hg or higher. Unmanaged hypertension poses significant health risks, making the distinction between primary (or essential) hypertension and secondary hypertension crucial, as their management and implications vary.Primary HypertensionPrimary hypertension,...
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Hypertension II: Pathophysiology01:29

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Hypertension is a chronic condition in which the blood's force against artery walls is excessively high, posing risks such as heart disease. The condition's underlying mechanisms involve complex interactions among the cardiovascular, kidney, and autonomic nervous systems.Renin-Angiotensin-Aldosterone System (RAAS): This system significantly influences blood pressure regulation. When blood pressure decreases, the kidneys secrete renin. This enzyme transforms angiotensinogen, a plasma protein,...
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Machines: Problem Solving I01:22

Machines: Problem Solving I

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A toggle clamp is a mechanical device commonly used for holding and clamping objects in various applications, such as woodworking, metalworking, and assembly operations. Consider a toggle clamp subjected to a force of 200 N at the handle. The vertical clamping force can be calculated, provided the dimensions of the toggle clamp are known.
The toggle clamp system is a machine structure consisting of movable, pin-connected multi-force members that form a stabilized system to transmit forces. The...
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Hypertension V: Nursing Management01:23

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The nursing management of hypertension involves accurately assessing symptoms, making a comprehensive nursing diagnosis, collaborating with patients to set goals, and implementing targeted interventions to mitigate the condition's impact and improve patient well-being.Comprehensive AssessmentThe initial step in nursing care for hypertension involves a thorough patient assessment. It includes evaluating symptoms such as headaches, dizziness, blurred vision, and previous hypertension episodes.
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Methylated DNA Immunoprecipitation
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DNA Methylation Markers for Pregnancy Hypertension via Machine Learning Methods.

Jueming Lei1,2, Hanbin Wu1,2,3, Haiyan Liu4

  • 1Department of Reproductive Health Research, National Research Institute for Family Planning, Beijing, China (J. Lei, H.W., R.C., D.S., J.J., J. Li, X.M., Y.Y.).

Hypertension (Dallas, Tex. : 1979)
|February 11, 2026
PubMed
Summary
This summary is machine-generated.

This study identifies three differentially methylated regions (DMRs) in early pregnancy blood to predict hypertensive disorders of pregnancy (HDPs). This epigenetic biomarker approach aids in early HDP risk identification.

Keywords:
DNA methylationcardiovascular diseasescase-control studieshypertension, pregnancy-inducedpregnancy trimester, first

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Area of Science:

  • Obstetrics and Gynecology
  • Epigenetics
  • Genomics

Background:

  • Hypertensive disorders of pregnancy (HDPs), including gestational hypertension and preeclampsia, pose significant risks to maternal and fetal health.
  • Early identification of HDP risk is crucial for timely intervention and improved outcomes.
  • Integrating epigenetic biomarkers with clinical factors offers a promising avenue for enhancing prediction models.

Purpose of the Study:

  • To develop a predictive model for identifying pregnant individuals at risk of HDPs in the first trimester.
  • To investigate the utility of differentially methylated regions (DMRs) as epigenetic biomarkers for HDP prediction.
  • To combine epigenetic data with established clinical risk factors for a comprehensive risk assessment.

Main Methods:

  • A 2-stage nested case-control study involving 618 pregnant women in China.
  • Analysis of peripheral blood samples from the first trimester to assess methylation levels of DMRs.
  • Utilized machine learning models (lasso regression, XGBoost, random forest, Shapley Additive Explanations) to identify significant DMRs.
  • Constructed prediction models using logistic regression, integrating selected DMRs and clinical factors.

Main Results:

  • Identified 52 differential DMRs in the discovery stage and validated 12 DMRs in the second stage.
  • Selected three key DMRs located in the CTSA, HMGB1, and miR1908/FADS2 genes for the prediction model.
  • The combined model achieved an AUC of 0.863 in the training set and 0.757 in the test set, demonstrating predictive capability.

Conclusions:

  • The identified DMRs in peripheral blood show potential as early epigenetic biomarkers for HDP risk.
  • This approach offers a novel strategy for early identification of high-risk pregnancies.
  • The findings contribute to understanding the epigenetic underpinnings of HDPs.