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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.
A free-body diagram of the...
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Data Reporting and Recording01:24

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Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
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Development of Analytical Methods01:21

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An analytical methodology can be divided into four sequential steps: technique, method, procedure, and protocol. A technique is a scientific principle that rationalizes a specific phenomenon through chemical measurements. Adapting a technique for analyzing a sample of interest is termed a method. The procedure outlines the directions for performing the analysis via an analytical method. The protocol is the detailed guidelines on the procedure, which should be strictly followed to obtain the...
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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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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.
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In certain chromatographic separations, solutes transfer between the mobile phase and the stationary phase via sorption, which typically refers to the process of adsorption. For many chromatographic systems, the sorption process often depends on the polarity of the compounds—an expression of the overall dipole moment within the molecule. During the separation process, there is competition between the solute and solvent for adsorption to the stationary phase. Highly polar compounds and...
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Machine Learning and Data Analytics in Pervasive Health.

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    Machine learning and data analytics are revolutionizing healthcare by enabling personalized medicine through pervasive health technologies. These innovations leverage diverse data sources for improved diagnosis and treatment.

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    Area of Science:

    • Pervasive Health Technologies
    • Machine Learning in Healthcare
    • Data Analytics Applications

    Background:

    • Focus theme introduces "Machine Learning and Data Analytics in Pervasive Health."
    • Innovative use of machine learning and data analytics for personalized medicine.
    • Leveraging small and big data for better healthcare provisioning.

    Discussion:

    • Selected papers explore diverse applications: patient-ventilator asynchrony detection, cognitive impairment early detection, radiotherapy performance estimation, and negation detection in medical texts.
    • Pervasive health technologies and data analytics are key enablers for personalized diagnosis and treatment.
    • Renewed impulse in healthcare due to new sources of behavioral and physiological data from mobile and pervasive devices.

    Key Insights:

    • Machine learning and data analytics are crucial for advancing personalized medicine.
    • Pervasive health technologies generate valuable data for healthcare innovation.
    • Diverse applications demonstrate the transformative potential of these technologies.

    Outlook:

    • Continued integration of machine learning and data analytics in healthcare.
    • Expansion of personalized medicine through pervasive health data.
    • Future research directions in data-driven healthcare solutions.