ABSTRACT
INTRODUCTION: The increasing frequency of pandemics, demand for healthcare and costs of healthcare services require efficient health systems with integrated care via a command centre that ensures a centralised and coordinated approach to exercise effective leadership. DESCRIPTION: We present a case study using the conceptual framework of Franklin to describe the novel system-based engineering approach of the Saudi National Health Command Centre (NHCC) including its features and outcomes measured. DISCUSSION: The NHCC is structured into four departments and four zones with real-time data integration and visualisation on 88 dashboards. To empower leadership, it harnesses artificial intelligence affordances such as machine learning algorithms to enhance functionality, decision-making processes and overall performance. This allows for the rapid assessment of available resources and to monitor healthcare system efficiency at diverse levels of clinical and system indicators. Enhanced proactive capacity management has contributed to reducing lengths of stay, average supply chain lead time and surgery waiting list; early bending of the COVID-19 curve resulting in a low mortality rate; increasing bed capacity; deploying medical staff and mechanical ventilators rapidly; rolling out the COVID-19 vaccination programme and improving patient satisfaction. CONCLUSION: Integrating a healthcare system with a command centre provides healthcare leaders with the necessary infrastructure to create synergy between people, processes and technologies. This substantially improves both patient and service outcomes. It also allows for immediate care coordination and resource allocations and safeguards ease of access to care.
ABSTRACT
The development and study of an optimal control method for the problem of controlling the formation of a group of mobile robots is still a current and popular theme of work. However, there are few works that take into account the issues of time synchronization of units in a decentralized group. The motivation for taking up this topic was the possibility of improving the accuracy of the movement of a group of robots by including dynamic time synchronization in the control algorithm. The aim of this work was to develop a two-layer synchronous motion control system for a decentralized group of mobile robots. The system consists of a master layer and a sublayer. The sublayer of the control system performs the task of tracking the reference trajectory using a single robot with a kinematic and dynamic controller. In this layer, the input and output signals are linear and angular velocity. The master layer realizes the maintenance of the desired group formation and synchronization of robots during movement. Consensus tracking and virtual structure algorithms were used to implement this level of control. To verify the correctness of operation and evaluate the quality of control for the proposed proprietary approach, simulation studies were conducted in the MATLAB/Simulink environment, followed by laboratory tests using real robots under ROS. The developed system can successfully find application in transportation and logistics tasks in both civilian and military areas.
ABSTRACT
The paper presents the identification process of the mathematical model parameters of a differential-drive two-wheeled mobile robot. The values of the unknown parameters of the dynamics model were determined by carrying out their identification offline with the Levenberg-Marguardt method and identification online with the Recursive least-squares method. The authors compared the parameters identified by offline and online methods and proposed to support the recursive least squares method with the results obtained by offline identification. The correctness of the identification process of the robot dynamics model parameters, and the operation of the control system was verified by comparing the desired trajectories and those obtained through simulation studies and laboratory tests. Then an analysis of errors defined as the difference between the values of reference position, orientation and velocity, and those obtained from simulations and laboratory tests was carried out. On itd basis, the quality of regulation in the proposed algorithm was determined.
ABSTRACT
PROBLEM: Our recent studies proved that menstrual discharge is exceptionally rich in bactericidal hemoglobin peptides (hemocidins). Of special interest is the behavior of hemocidins in low pH of the vagina, in different ionic strengths, and in the presence of other specialized antibacterial molecules acting in this organ. METHODS OF STUDY: We studied the activity of a model representative of menstrual hemocidin: the peptide from human beta-globin, spanning residues 115-146 (HbB115-146). The bactericidal action of this peptide in different physicochemical conditions, as well as the evaluation of the synergistic effect of the peptide with mixtures of neutrophil alpha-defensin HNP-1, epithelial beta-defensin HBD-1, cathelicidin LL-37 and lysozyme were studied using the bacterial membrane permeability test. RESULTS: The HbB115-146 is a salt-resistant antibiotic molecule strongly potentiating its activity in acidic conditions (pH 4.4-5.0), characteristic for the vagina. Hemocidin HbB115-146 is also an effective factor stimulating the activity of other antibacterial polypeptides present in the female urogenital tract. The observed synergistic effect is preserved or enhanced at lower pH and, with the exception of HBD-1, is observed also at physiological salt concentrations. CONCLUSION: The results of this study clearly demonstrate that hemocidins are important polypeptide factors involved in maintaining vaginal immunity during normal menstrual bleedings.
