Clarifying of Quality of Care in Abdominal and Pelvic Trauma Based on the Nursing Managers' Perspective

Introduction: Abdominal trauma is one major causes of mortality and its prevalence is increasing. Despite the researches conducted in quality of care, review of literature show that no study has done about the quality of care in abdominal and pelvic trauma. This study aimed to clarify the quality of care in abdominal and pelvic trauma based on the nurse managers' perspective. Method: In this descriptive qualitative study, 14 nurse managers employed in emergency department of one of the health centers in Rasht City, Iran, were selected purposefully. Semi-structured interviews were used to collect the data. Sampling continued until data saturation. Data were analyzed using qualitative content analysis via MAXQDA 2007 software. Results: Data analysis led to extraction of 321 primary codes, 8 subcategories, 3 categories, and 1 main theme. The main theme named "convergence of comprehensive health care services" consists of three categories entitled “life-saving care", "essential care", and "foundations of service quality". Conclusion: Despite the implementation of specific aspects of abdominal and pelvic trauma care as "lifesaver care", there are significant deficiencies in relation to certain aspects of "essential care", especially in communication with patients require necessary actions, which should be modified or eliminated by the relevant authorities. Keywords: Quality of care, Nursing care, Abdominal injuries, Trauma, Nurse manager

Effect of the electromagnetic induction on a modified memristive neural map model

The significance of discrete neural models lies in their mathematical simplicity and computational ease. This research focuses on enhancing a neural map model by incorporating a hyperbolic tangent-based memristor. The study extensively explores the impact of magnetic induction strength on the model's dynamics, analyzing bifurcation diagrams and the presence of multistability. Moreover, the investigation extends to the collective behavior of coupled memristive neural maps with electrical, chemical, and magnetic connections. The synchronization of these coupled memristive maps is examined, revealing that chemical coupling exhibits a broader synchronization area. Additionally, diverse chimera states and cluster synchronized states are identified and discussed

Traveling patterns in a network of memristor-based oscillators with extreme multistability

The study of collective behaviors in the networks of memristive systems has achieved negligible attention. In this paper, a ring network of memristive based Wien-bridge oscillators is investigated. The Wien-bridge oscillator exhibits extreme multistability. Therefore, the initial conditions of the network can play an important role in the emergence of different spatiotemporal patterns. Here, the initial conditions are chosen in a small region, in which a single oscillator shows various attractors with similar topologies. It is observed that by varying the coupling strength and coupling range, various patterns are formed. In most of the appeared patterns, the traveling of coexistent coherent and incoherent oscillators is observed, whether in a part of the pattern or in the whole. It seems that the traveling patterns are formed due to the multistability of the oscillators and their time-scaled time series. Overall, by varying the coupling parameters, several patterns such as chimera state, traveling chimera and nonstationary chimera, are emerged in the network

Detecting chimeras by eigenvalue decomposition of the bivariate local order parameter

It has been shown that the eigenvalue decomposition of the matrix of the bivariate phase synchronization measure can be used for the detection of cluster synchronization. It has also been shown that other measures, such as the strength of incoherence and various local order parameters, can be used to quantitatively characterize chimeras, or chimera states. Here we bridge these two domains by showing that the eigenvalue decomposition method can also be used for the detection of chimeras. We compute the local order parameter for all oscillator pairs and apply the eigenvalue decomposition on the bivariate matrix. We show that, in contrast to cluster synchronization, there are more eigenvalues above one than the number of synchronized clusters in the network. The corresponding eigenvectors correspond to synchronized groups, while the oscillators that are not represented by the eigenvectors form the chimeras. We demonstrate our approach on coupled Liénard equations and FitzHugh-Nagumo neurons

Equivalent synchronization patterns in chaotic jerk systems

Jerk systems are some of the simplest dynamical systems that can exhibit chaotic dynamics. This paper investigates the synchronization of coupled jerk systems with coupling in single variables. We apply the well-known approach for synchronization analysis, the master stability function, which determines the stability of the synchronization manifold. It is shown that a jerk system in which the jerk equation is not dependent on the acceleration has similar master stability functions when coupled in velocity or acceleration variables. Therefore, the system has the same synchronization behavior in these two coupling configurations. Such an equivalence has not been reported in the literature

Extended non-stationary chimera-like region in a network of non-identical coupled Van der Pol’s oscillators

Chimera states are peculiar spatiotemporal patterns of coupled oscillators composed of coherent and incoherent groups. In this paper, we study a network of non-identical coupled Van der Pol’s oscillators and investigate the robustness of the chimera states against the oscillators frequency mismatches. The dynamical behaviors of the network are obtained for various coupling strengths and ranges, in different inhomogeneity levels, and the phase diagrams are presented. It is observed that the parameter inhomogeneity leads to the occurrence of synchronization in higher coupling strengths and expansion of the chimera region. In contrast to the identical network, in the non-identical network, a great deal of the chimera region belongs to the non-stationary chimera