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Lift01:23

Lift

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Lift is a fundamental aerodynamic force that acts perpendicular to the direction of airflow. It plays a central role in achieving and sustaining flight and in stabilizing various vehicles. Lift primarily originates from pressure differences created across surfaces, such as an airfoil. A lower pressure region forms above the wing, while a higher pressure region forms below it, generating an upward force. This differential results from the shape and orientation of the airfoil, enabling the wing...
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Expected Value01:15

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The expected value is known as the "long-term" average or mean. This means that over the long term of experimenting over and over, you would expect this average. The expected average is represented by the symbol μ. It is calculated as follows:
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Determination of Expected Frequency01:08

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Suppose one wants to test independence between the two variables of a contingency table. The values in the table constitute the observed frequencies of the dataset. But how does one determine the expected frequency of the dataset? One of the important assumptions is that the two variables are independent, which means the variables do not influence each other. For independent variables, the statistical probability of any event involving both variables is calculated by multiplying the individual...
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Decision Making01:20

Decision Making

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Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
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Decision Making: P-value Method01:09

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The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can...
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Expected Frequencies in Goodness-of-Fit Tests01:19

Expected Frequencies in Goodness-of-Fit Tests

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A goodness-of-fit test is conducted to determine whether the observed frequency values are statistically similar to the frequencies expected for the dataset. Suppose the expected frequencies for a dataset are equal such as when predicting the frequency of any number appearing when casting a die. In that case, the expected frequency is the ratio of the total number of observations (n)  to the number of categories (k).
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Decision-Making Data: Expectations for Reproducibility of Lifting on Separate Days.

Marcie C Swift1, Robert Townsend, Douglas W Edwards

  • 1Marcie C. Swift, PhD, PT, FAAOMPT, is an associate professor at Rockhurst University. Dr. Swift received her PhD in Rehabilitation Sciences in 1997 from the University of Kansas. She is a graduate of the Kaiser-Hayward Advanced Orthopedic Manual Therapy Fellowship Program in Oakland, CA, and is a fellow in the American Academy of Orthopedic Manual Physical Therapists. Robert Townsend, MS, CSCS, CEAS, is a clinical consultant with Bardavon Health Innovations. Previously, Mr. Townsend was an instructor in the School of Health Studies at the University of Memphis as well as Director of Research and Education with WCS Occupational Rehabilitation. Mr. Townsend has been performing functional capacity evaluations since 1997. Douglas W. Edwards, ATC/L, is the VP-Product Research & Clinical Testing for Bardavon Health Innovations. He has degrees from the University of Missouri-Columbia in Business Administration and Exercise Science. He is an NATABOC certified athletic trainer and is certified in multiple FCE Products. He has been treating workers' compensation patients since 1998. Janice K. Loudon, PhD, PT, ATC, SCS, is an associate professor at Rockhurst University in Kansas City, MO. She received her PhD in 1993 in Movement Science from Washington University in St. Louis, MO. Her research is focused on lower extremity pathomechanics and their relationship to athletic injury.

Professional Case Management
|February 6, 2018
PubMed
Summary
This summary is machine-generated.

Maximal lifting capability differs between crate and XRTS Lever Arm devices, with a 10.5% difference observed. Both lifting modes meet criteria for functional capacity evaluations, ensuring reliable effort assessment in workers' compensation cases.

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Area of Science:

  • Occupational Health
  • Biomechanics
  • Rehabilitation Science

Background:

  • Functional Capacity Evaluations (FCEs) assess patient readiness for work post-rehabilitation.
  • FCEs involve effort assessment alongside functional lifting capabilities.
  • Variations in equipment between treatment and FCE facilities can impact lifting assessments.

Purpose of the Study:

  • To compare maximal lifting capability between traditional crate and XRTS Lever Arm lifting modes.
  • To evaluate if these lifting modes meet established criteria for sincere effort during FCEs.
  • To analyze the rate of perceived exertion (RPE) for both lifting modes.

Main Methods:

  • Forty-four subjects (20-44 years) participated.
  • One-repetition maximum (1RM) was established for crate lifts.
  • Subjects performed lifts at 10-100% of 1RM using both crate and XRTS modes on separate days, rating perceived exertion.
  • Paired t tests and Spearman's correlation analyzed data.

Main Results:

  • A statistically significant difference (p < .04) was found between maximal lift values for the two modes.
  • The mean percent difference in maximal lift was 10.5% ± 6.4%.
  • A positive correlation (p = .87) was observed between RPE for both lifting modes.

Conclusions:

  • The study indicates that the two lifting modes meet established criteria for lift comparison testing during FCEs.
  • Findings support the use of different lifting modes on separate days for reliable effort assessment in FCEs.
  • This research aids case managers and physicians in comparing functional lifting abilities across different settings.