2021
DOI: 10.54647/cm32583
|View full text |Cite
|
Sign up to set email alerts
|

Rule of RUSH protocol in management of shocked patients

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

2023
2023
2023
2023

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(3 citation statements)
references
References 22 publications
0
3
0
Order By: Relevance
“…The value of elastic modulus of bending follows previous research, which states that the range of MOR values ranges from 67.7 MPa to 133 MPa. ( Lee et al, 1998;Ahmad and Kamke, 2011). MOE and MOR showed a positive linear correlation (Table 2).…”
Section: Flexural Modulus Of Elasticity (Moe Eapp) and Modulus Of Rap...mentioning
confidence: 86%
“…The value of elastic modulus of bending follows previous research, which states that the range of MOR values ranges from 67.7 MPa to 133 MPa. ( Lee et al, 1998;Ahmad and Kamke, 2011). MOE and MOR showed a positive linear correlation (Table 2).…”
Section: Flexural Modulus Of Elasticity (Moe Eapp) and Modulus Of Rap...mentioning
confidence: 86%
“…The prepared lipid-based nanocarriers were assigned the codes NLC1, NLC2, and NLC3. Sefsol was incorporated into the NLC2 formulation instead of PA, in order to prepare a positive control formulation, since this oil is generally regarded as a safe category of pharmaceutical excipients [33]. A non-medicated "oil-free" formulation, namely NLC3, was also prepared.…”
Section: Preparation Of Nanocarriersmentioning
confidence: 99%
“…Beyond these spheres, our repertoire has expanded to include discourse on the transformative role of AI in research (Khademi, 2023) and pedagogy (Xames & Shefa, 2023), its application in teaching numerically intensive subjects (Calonge et al, 2023), and the urgency of bridging the awareness gap on generative AI advancements in African countries such as Ghana (Adarkwah et al, 2023). Moreover, we have published Huang et al's (2023) framework for machine-human collaboration in educational settings, a methodological paper on an instrument measuring attitudes, benefits and threats toward using AI in higher education (Ahmad et al, 2023), an article on the transparency level of literature reviews on AI in education (Tlili et al, 2023) and two protocol papers for such literature reviews (Ismail et al, 2023;Stracke et al, 2023). In addition, we have published opinion pieces promoting open educational strategies for AI integration (Mills et al, 2023) and presenting critical perspectives that interrogate the influence and trajectory of AI in the higher education sector (Popenici, 2023b; see Popenici et al, 2023).…”
Section: Introductionmentioning
confidence: 99%