Questions related to Performance Improvement
The legal status or the medico-legal significance of officially approved or endorsed clinical decision support and quality improvement tools like; (i) 'Evidence-Based' Clinical Practice Guidelines, (ii) Protocols, (iii) Integrated Care Pathways, and (iv) Policies and Procedures has been a long-standing debate that often have a positive or even a negative effect on the compliance of different healthcare providers especially physicians.
I would like to open a discussion on your perspective and perception of that concept and what is the reality in your healthcare context in your country or region (insight from all clinical specialties is appreciated)?
A journal paper named "All-Links-Based E-Hailing Pricing and Surcharge Mechanism for Transportation System Performance Improvement" in TRR. ( You can find in the attachment)
In the model section (page 5), the author says that "Equations 8-10 are the definitional constraints for the path-link transformation relation and link surcharge calculation mechanisms based on the marginal externality."
I have question about equation 10 (page 5), which is a iterative equation illustrating the link surcharge relationship. But i don't know how to get to this equation. Would anyone like to explain this equation to me.
I am considering completing my dissertation on the above topic and would love any thoughts, ideas, links to articles, recommendations, etc please?
Is the aggregate effect of managing projects well within their constraints (cost quality, time...) able to provide a boost to firm performance?
Want to gather any research or stats on recovery from SSGS in football training that show minimum to maximum suggested recovery periods post training session to elicit performance improvements. Specifically are there any contraindications with running this type of session 48 hrs pre match?
Hi, I have carried out statistical analysis to assess how students performance improve from the pre-test to the post-test in control and experimental groups. I used both absolute learning gain (posttest - pretest) and relative learning gain (posttest-pretest/ pretest). My results revealed that there is a statistical significant difference in absolute learning gain between the control and experimental groups. However, no statistical significance difference was found in the relative learning gain.
I found several software for performance evaluation and improvement like SPSS, AMOS,ANOWA, SEM, T Test for single and Multivariate Etc. I want to choose my local region industries like in Madhya pradesh, India and will take various parameters for performance improvement then what should I do? please help me.
This is regarding P3HT:PCBM bulk heterojunction organic solar cells. I have noticed that open circuit voltage is a little less for the annealed devices when compared to un-annealed devices. (of course the performance improves with annealing, with significant enhancements in Jsc and fill factor). I want to know if this is a well known scenario, and if so what can be the reason for this. Is this common to other polymer blends as well?
I am working on an article relating to motivation with a focus on performance improvement for the 21st century. I am looking at highlighting knowledge spirals as a means to develop motivation at each of the levels of analysis (individual, team/group, department, and organization). If you have any references or recommendations I would be grateful. Thanks in advance.
I have critically review paper on different tools and techniques for performance improvement. Each study having and shown its own importance. But still I couldn't search effective tools for productivity improvement in maintenance for Indian SMEs.
I am working on cloud computing performance improvement model during live virtual machine migration. Due to the newly migrated virtual machines, ongoing virtual machine at destination physical machine faces interference which leads to performance degradation.
Does anyone have an idea how to determine and predict network I/O usage if VM is in public cloud?
I would like to know anything about mechanism of hypoxic training especially 'live low - train high' method on anaerobic performance improvement. How about pathway of this mechanism?
Specifically I'm comparing the S-N/T-F functions to four behaviors: Pinpoint the behavior, Identify the antecedent, Observe the consequence, and reinforce the behavior.
How would I organize my data to do the necessary analysis?
I have a sample of 19 people who I measure for some factor. In step 2, I give them all some information and test again for the same measure. Step 2 is repeated 5 additional more times. So, in effect they are given additional information 6 times. Thus for each person I have 7 performance measures - one without information and six additional measures with information. I want to test if the performance improves with every additional piece of information. How can this be done?