Suboptimal control of a population diffusion model with application to a hospital inpatient admission system

1975 ◽  
Author(s):  
D. Collart ◽  
A. Haurie
Keyword(s):  
Diffusion Model ◽  
Inpatient Admission ◽  
Suboptimal Control ◽  
Hospital Inpatient ◽  
Admission System

Resource utilisation, charges and mortality following hospital inpatient admission for congestive heart failure among the elderly in the US

2008 ◽  
Vol 11 (3) ◽  
pp. 397-414 ◽  
Author(s):  
Murtuza Bharmal ◽  
Eric Gemmen ◽  
Teresa Zyczynski ◽  
Andrew Linnstaedt ◽  
David Kenny ◽  
...  
Keyword(s):  
Heart Failure ◽  
Congestive Heart Failure ◽  
The Elderly ◽  
Inpatient Admission ◽  
Resource Utilisation ◽  
Hospital Inpatient ◽  
The Us

Criteria of Hospital Inpatient Admission of Pediatric Dental Patient

2021 ◽  
Vol 45 (5) ◽  
pp. 344-351
Author(s):  
Shahad S Alkhuwaiter
Keyword(s):  
Emergency Department ◽  
Pediatric Patients ◽  
Dental Treatment ◽  
Severity Of Illness ◽  
Pediatric Emergency ◽  
Inpatient Admission ◽  
Hospital Inpatient ◽  
Clinical Criteria ◽  
Dental Patient ◽  
Dental Conditions

Some dental conditions that are presented to the pediatric emergency department need hospital inpatient admission to facilitate supportive care, provide dental treatment and monitor the physiologic state of the child. The decision to treat the pediatric dental patient as an outpatient or inpatient is very important to control the overuse of hospital resources and at the same time not placing the child at the risk of rapid deterioration. However, no available guidelines or validated measures for the correct decision to treat the patient in either inpatient or outpatient care settings that can be used specifically for pediatric dental patients presented to the emergency department. Up to date, the decision of admitting pediatric patients is usually based on the severity of illness that can be measured by using The Pediatric Risk of Admission (PRISA II) Score. This review gives an overview of indications and clinical criteria of hospital inpatient admission of pediatric patients subsequent to traumatic and non-traumatic dental conditions.

A new lithium diffusion model in layered oxides based on asymmetric but reversible transition metal migration

2020 ◽  
Vol 13 (4) ◽  
pp. 1269-1278 ◽  
Author(s):  
Kyojin Ku ◽  
Byunghoon Kim ◽  
Sung-Kyun Jung ◽  
Yue Gong ◽  
Donggun Eum ◽  
...  
Keyword(s):  
Transition Metal ◽  
Diffusion Model ◽  
Layered Oxides ◽  
Layered Oxide ◽  
Reversible Transition ◽  
Lithium Diffusion ◽  
Metal Migration

We propose a new lithium diffusion model involving coupled lithium and transition metal migration, peculiarly occurring in a lithium-rich layered oxide.

Does the Name-Race Implicit Association Test Measure Racial Prejudice?

2011 ◽  
Vol 58 (4) ◽  
pp. 271-277 ◽  
Author(s):  
Don van Ravenzwaaij ◽  
Han L. J. van der Maas ◽  
Eric-Jan Wagenmakers
Keyword(s):  
Diffusion Model ◽  
Implicit Association Test ◽  
Alternative Explanation ◽  
Group Membership ◽  
Racial Prejudice ◽  
Decision Time ◽  
Association Test ◽  
Implicit Association ◽  
Model Decomposition ◽  
Test Measure

Research using the Implicit Association Test (IAT) has shown that names labeled as Caucasian elicit more positive associations than names labeled as non-Caucasian. One interpretation of this result is that the IAT measures latent racial prejudice. An alternative explanation is that the result is due to differences in in-group/out-group membership. In this study, we conducted three different IATs: one with same-race Dutch names versus racially charged Moroccan names; one with same-race Dutch names versus racially neutral Finnish names; and one with Moroccan names versus Finnish names. Results showed equivalent effects for the Dutch-Moroccan and Dutch-Finnish IATs, but no effect for the Finnish-Moroccan IAT. This suggests that the name-race IAT-effect is not due to racial prejudice. A diffusion model decomposition indicated that the IAT-effects were caused by changes in speed of information accumulation, response conservativeness, and non-decision time.

Impact of Context Information on Metaphor Elaboration

2018 ◽  
Vol 65 (6) ◽  
pp. 370-384 ◽  
Author(s):  
Veronika Lerche ◽  
Ursula Christmann ◽  
Andreas Voss
Keyword(s):  
Diffusion Model ◽  
Processing Speed ◽  
A Priori ◽  
Model Fit ◽  
Verbal Task ◽  
Context Information ◽  
Speed Of Processing ◽  
Good Account ◽  
Dependent Variables ◽  
Decision Settings

Abstract. In experiments by Gibbs, Kushner, and Mills (1991) , sentences were supposedly either authored by poets or by a computer. Gibbs et al. (1991) concluded from their results that the assumed source of the text influences speed of processing, with a higher speed for metaphorical sentences in the Poet condition. However, the dependent variables used (e.g., mean RTs) do not allow clear conclusions regarding processing speed. It is also possible that participants had prior biases before the presentation of the stimuli. We conducted a conceptual replication and applied the diffusion model ( Ratcliff, 1978 ) to disentangle a possible effect on processing speed from a prior bias. Our results are in accordance with the interpretation by Gibbs et al. (1991) : The context information affected processing speed, not a priori decision settings. Additionally, analyses of model fit revealed that the diffusion model provided a good account of the data of this complex verbal task.

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