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17. Hydrodynamic correlations in shear flow: A Multiparticle--Collision--Dynamics simulation study

Author

Varghese, Anoop, Huang, Chien-Cheng, Winkler, Roland G., and Gompper, Gerhard

Subjects
Condensed Matter - Statistical Mechanics, Condensed Matter - Soft Condensed Matter, Physics - Fluid Dynamics
Abstract

The nonequilibrium hydrodynamic correlations of a Multiparticle-Collision-Dynamics (MPC) fluid in shear flow are studied by analytical calculations and simulations. The Navier-Stokes equations for a MPC fluid are linearized about the shear flow and the hydrodynamic modes are evaluated as an expansion in the momentum vector. The shear-rate dependence and anisotropy of the transverse and longitudinal velocity correlations are analyzed. We demonstrate that hydrodynamic correlations in shear flow are anisotropic, specifically, the two transverse modes are no longer identical. In addition, our simulations reveal the directional dependence of the frequency and attenuation of the longitudinal velocity correlation function. Furthermore, the velocity autocorrelation functions of a tagged fluid particle in shear flow are determined. The simulations results for various hydrodynamic correlations agree very well with the theoretical predictions., Comment: 8 pages, 5 figures

Published
2015
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18. Thermostat for non-equilibrium multiparticle collision dynamics simulations

Author

Huang, Chien-Cheng, Varghese, Anoop, Gompper, Gerhard, and Winkler, Roland G.

Subjects
Condensed Matter - Soft Condensed Matter
Abstract

Multiparticle collision dynamics (MPC), a particle-based mesoscale simulation technique for com- plex fluid, is widely employed in non-equilibrium simulations of soft matter systems. To maintain a defined thermodynamic state, thermalization of the fluid is often required for certain MPC variants. We investigate the influence of three thermostats on the non-equilibrium properties of a MPC fluid under shear or in Poiseuille flow. In all cases, the local velocities are scaled by a factor, which is either determined via a local simple scaling approach (LSS), a Monte Carlo-like procedure (MCS), or by the Maxwell-Boltzmann distribution of kinetic energy (MBS). We find that the various scal- ing schemes leave the flow profile unchanged and maintain the local temperature well. The fluid viscosities extracted from the various simulations are in close agreement. Moreover, the numerically determined viscosities are in remarkably good agreement with the respective theoretically predicted values. At equilibrium, the calculation of the dynamic structure factor reveals that the MBS method closely resembles an isothermal ensemble, whereas the MCS procedure exhibits signatures of an adi- abatic system at larger collision-time steps. Since the velocity distribution of the LSS approach is non-Gaussian, we recommend to apply the MBS thermostat, which has been shown to produce the correct velocity distribution even under non-equilibrium conditions., Comment: 12 pages, 5 figures in Phys. Rev. E, 2015

Published
2015
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21. Impact of the Home-Based Medical Integrated Program on Health Outcomes and Medical Resource Utilization in Home Healthcare Patients in Taiwan.

Author

Ho, Yu-Chieh, Wang, Chia-Ti, Weng, Tzu-Chieh, Ho, Chung-Han, Tsai, Kang-Ting, Hsu, Chien-Chin, Lin, Hung-Jung, Chen, Hsiu-Chin, and Huang, Chien-Cheng

Subjects
EMERGENCY room visits, CONVENIENCE sampling (Statistics), MEDICAL care costs, HEALTH programs, MEDICAL emergencies
Abstract

Purpose: The home-based medical integrated program (HMIP) is a novel model for home healthcare (HHC) in Taiwan, initiated in 2016 to enhance care quality. However, the outcomes of this program on health outcomes and medical resource utilization in HHC patients remain unclear. Thus, we conducted this study to clarify it. Patients and Methods: The authors utilized the Taiwan National Health Insurance Research Database to identify HHC patients who received HMIP and those who did not between January 2015 and December 2017. A retrospective cohort study design was used. Convenience sampling was employed to select patients who met the inclusion criteria: being part of the HHC program and having complete data for analysis. Results: A total of 4982 HHC patients in the HMIP group and 10,447 patients in the non-HMIP group were identified for this study. The mean age in the HMIP group and non-HMIP group was 77.6 years and 76.1 years, respectively. Compared with the non-HMIP group, the HMIP group had lower total medical costs for HHC, fewer outpatient department visits and lower medical costs, lower medical costs for emergency department visits, fewer hospitalizations, and a lower mortality rate (34.6% vs 41.2%, p< 0.001). Conclusion: The HMIP is a promising model for improving care quality and reducing medical resource utilization in HHC patients. While this suggests that the non-HMIP model should be replaced, it's important to note that both non-HMIP and HMIP models currently coexist. The HMIP may serve as an important reference for other nations seeking to improve care quality and reduce medical resource utilization in their own HHC systems. [ABSTRACT FROM AUTHOR]

Published
2024
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22. Implementation of a novel computer assisted telephone follow-up model for older patients after emergency department discharge in an Asian population.

Author

Lee, Yen-Chiang, Yu-Chieh Ho, Sam, Tan, Tian-Hoe, Ho, Chung-Han, Tsai, Kang-Ting, Yang, Pei-Chi, Hsu, Chien-Chin, Lin, Hung-Jung, Wang, Chia-Ti, and Huang, Chien-Cheng

Abstract

Background: While the impact of telephone follow-up (TFU) for older emergency department (ED) patients is controversial, its effects on the Asian population remain uncertain. In this study, we evaluated the effectiveness of a novel computer assisted TFU model specifically for this demographic. Methods: At a Taiwanese tertiary medical center, we developed a TFU protocol that included a referral and case management system within the ED hospital information system. We provided TFU to older discharged patients between April 1, 2021, and May 31, 2021. We compared this cohort with a non-TFU cohort of older ED patients and analyzed demographic characteristics and post-ED discharge outcomes. Results: The TFU model was successfully implemented, with 395 patients receiving TFU and 191 without TFU. TFU patients (median age: 76 years, male proportion: 48.9%) differed from non-TFU patients (median age: 74 years, male proportion: 43.5%). Compared with the non-TFU cohort, the multivariate logistic regression analysis revealed that the TFU cohort had a lower total medical expenditure < 1 month (adjusted odds ratio [AOR]: 0.32; 95% CI: 0.21 − 0.47 for amounts exceeding 5,000 New Taiwan Dollars), and higher satisfaction (AOR: 2.80; 95% CI: 1.46 − 5.36 for scores > 3 on a five-point Likert Scale). However, the TFU cohort also had a higher risk of hospitalization < 1 month (AOR: 2.50; 95% CI: 1.31 − 4.77) compared to the non-TFU cohort. Conclusion: Computer-assisted TFU appears promising. Further research involving a larger number of patients and validation in other hospitals is necessary to bolster the evidence and extend the findings to a broader context. [ABSTRACT FROM AUTHOR]

Published
2024
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24. Acute Myocardial Infarction Risk Prediction in Emergency Chest Pain Patients within One Month: An External Validation Study

Author

Chang, Ching-Hung, primary, Nguyen, Phung-Anh, additional, Huang, Chien-Cheng, additional, Liu, Chung-Feng, additional, Melisa, Septi, additional, Chen, Chia-Jung, additional, Hsu, Chien-Chin, additional, Lin, Hung-Jung, additional, Hsu, Min-Huei, additional, Shih, Chun-Ming, additional, Liu, Ju-Chi, additional, Yang, Hung-Yu, additional, and Hsu, Jason C., additional

Published
2024
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30. Semidilute Polymer Solutions at Equilibrium and under Shear Flow

Author

Huang, Chien-Cheng, Winkler, Roland G., Sutmann, Godehard, and Gompper, Gerhard

Subjects
Condensed Matter - Soft Condensed Matter
Abstract

The properties of semidilute polymer solutions are investigated at equilibrium and under shear flow by mesoscale simulations, which combine molecular dynamics simulations and the multiparticle collision dynamics approach. In semidilute solution, intermolecular hydrodynamic and excluded volume interactions become increasingly important due to the presence of polymer overlap. At equilibrium, the dependence of the radius of gyration, the structure factor, and the zero-shear viscosity on the polymer concentration is determined and found to be in good agreement with scaling predictions. In shear flow, the polymer alignment and deformation are calculated as a function of concentration. Shear thinning, which is related to flow alignment and finite polymer extensibility, is characterized by the shear viscosity and the normal stress coefficients.

Published
2011
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34. Stress Tensors of Multiparticle Collision Dynamics Fluids

Author

Winkler, Roland G. and Huang, Chien-Cheng

Subjects
Condensed Matter - Soft Condensed Matter, Condensed Matter - Statistical Mechanics
Abstract

Stress tensors are derived for the multiparticle collision dynamics algorithm, a particle-based mesoscale simulation method for fluctuating fluids, resembling those of atomistic or molecular systems. Systems with periodic boundary conditions as well as fluids confined in a slit are considered. For every case, two equivalent expressions for the tensor are provided, the internal stress tensor, which involves all degrees of freedom of a system, and the external stress, which only includes the interactions with the confining surfaces. In addition, stress tensors for a system with embedded particles are determined. Based on the derived stress tensors, analytical expressions are calculated for the shear viscosity. Simulations illustrate the difference in fluctuations between the various derived expressions and yield very good agreement between the numerical results and the analytically derived expression for the viscosity.

Published
2008
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44. Real‐time artificial intelligence predicts adverse outcomes in acute pancreatitis in the emergency department: Comparison with clinical decision rule.

Author

Chang, Ching‐Hung, Chen, Chia‐Jung, Ma, Yu‐Shan, Shen, Yu‐Ting, Sung, Mei‐I, Hsu, Chien‐Chin, Lin, Hung‐Jung, Chen, Zhih‐Cherng, Huang, Chien‐Cheng, and Liu, Chung‐Feng

Subjects
HOSPITAL emergency services, CHRONIC diseases, ARTIFICIAL intelligence, CLINICAL prediction rules, RISK assessment, COMPARATIVE studies, DESCRIPTIVE statistics, RESEARCH funding, PREDICTION models, PANCREATITIS, DECISION making in clinical medicine, ALGORITHMS
Abstract

Objective: Artificial intelligence (AI) prediction is increasingly used for decision making in health care, but its application for adverse outcomes in emergency department (ED) patients with acute pancreatitis (AP) is not well understood. This study aimed to clarify this aspect. Methods: Data from 8274 ED patients with AP in three hospitals from 2009 to 2018 were analyzed. Demographic data, comorbidities, laboratory results, and adverse outcomes were included. Six algorithms were evaluated, and the one with the highest area under the curve (AUC) was implemented into the hospital information system (HIS) for real‐time prediction. Predictive accuracy was compared between the AI model and Bedside Index for Severity in Acute Pancreatitis (BISAP). Results: The mean ± SD age was 56.1 ± 16.7 years, with 67.7% being male. The AI model was successfully implemented in the HIS, with Light Gradient Boosting Machine (LightGBM) showing the highest AUC for sepsis (AUC 0.961) and intensive care unit (ICU) admission (AUC 0.973), and eXtreme Gradient Boosting (XGBoost) showing the highest AUC for mortality (AUC 0.975). Compared to BISAP, the AI model had superior AUC for sepsis (BISAP 0.785), ICU admission (BISAP 0.778), and mortality (BISAP 0.817). Conclusions: The first real‐time AI prediction model implemented in the HIS for predicting adverse outcomes in ED patients with AP shows favorable initial results. However, further external validation is needed to ensure its reliability and accuracy. [ABSTRACT FROM AUTHOR]

Published
2024
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