Fatigue Life Prediction Under Constant Amplitude and Interspersed Mode-I and Mixed-Mode (I and II) Overload using An Exponential Model

Fatigue performance of structures is greatly affected by the presence of stress raisers such as fastener holes, manufacturing errors, corrosion pits, and maintenance damage which serve as nucleation sites for fatigue cracking. During service, sub-critical cracks nucleate from these sites and grow till catastrophic failure takes place when the crack length reaches a critical dimension. A structure can not be retired from service simply on detecting a fatigue crack. Hence, proper evaluation of fatigue crack propagation and residual life prediction of structures (aircraft, ship, railways, bridges, gas and oil transmission pipelines, etc.) are important to ensure the public safety, environmental protection, and economical consideration

The entropy of suffering : an inquiry into the consequences of the 4-Hour Rule for the patient-doctor relationship in Australian public hospitals

As a medical practitioner, predominantly working in Australian public hospitals, I have always been interested in the factors that shape and influence my and my colleagues’ performance in the practice of medicine. In 2011, the Australian Government instituted a range of reforms to the public health-care system, including some directed at improving access for patients to Emergency Departments, which had, over many years, become increasingly overwhelmed by the number and complexity of presentations. This included a target of four hours within which patients in Emergency Departments were to be discharged, admitted or transferred to alternative institutions. These reforms generated widespread strong emotional responses from medical and other health staff with whom I worked, and I was prompted to consider the origins of these powerful human reactions to the administrative intervention. Emergency Departments are often described, derisively, as chaotic working environments. However, this epithet may instead be describing something quite profound about the ontological nature of hospitals and Emergency Departments — that they are, indeed, non-linear dynamical physical systems in which phenomena of complexity exist. Other human-centred interactional and transactional systems have been successfully examined from a complexity perspective, including economics and human physiology. Framing inquiry into Emergency Departments, and the humans who encounter each other within them, from a complexity perspective might also then prove useful in defining and characterising the complex and manifold relationships and interactions between people, technology and systemic organising principles. This health services research evaluates the lived experience of four medical practitioners through the paradigm of phenomenological inquiry, as actors on a performance landscape of clinical encounters and as key sources of information about the structure and functions of that performance manifold. Inquiry into and analysis of these rich descriptive data yield strong inferences that non-linear dynamics are operating across scales — from the cellular to the organisational. The complexity perspective provides a unifying explanatory power for making sense of how energetic transactions and transformations between patients, health-care practitioners, technology and the hospital system unfold to result in the recovery from injury and trauma. Specifically, literature on interoception suggests that human biological systems are exquisitely sensitive to changes in dynamic steady-states that might indicate increased entropy. This inquiry suggests that suffering is a phenomenological experience of sudden increases in entropy. An explanatory model in complexity, using the Second Law of Thermodynamics in open systems, suggests that entropy — that is, suffering — can be understood as being transferred and expelled from patient to doctor. Framing in this explanatory model would suggest that the patient-doctor relationship is a powerful systemic attractor in a dynamic system. Elaborating this construct of energetic dynamics further suggests that insertion of system controllers, such as time-based targets, can have profound non-linear effects on the function of these dynamics and, hence, the outcomes of these patient-doctor encounters. The implications of this inquiry include a new and powerful reframing of the ontological characterisation of the practice of medicine in Emergency Departments in terms of nonlinear open thermodynamic functions operating at distance from equilibrium. It recommends a more thoughtful consideration of human experiences such as suffering and its relief. Giving priority and visibility to suffering within health-care, a recrudescence of times past when technology in medicine was limited, may elucidate ways of practising that improve patient experiences and health outcomes. Furthermore, the findings suggest that medical practitioners, health workers and administrators are called on to deeply consider embracing complex dynamics as problem framing references, and to engage with methodologies that build better theories about the nature of phenomena under investigation. Rather than seeking to diminish or extinguish the complexities of Emergency Departments, researchers and practitioners might acknowledge and engage with the next wave of complexity-informed health-care research to better understand how and why health-care relieves suffering and restores human function

High-Performance Modelling and Simulation for Big Data Applications

This open access book was prepared as a Final Publication of the COST Action IC1406 “High-Performance Modelling and Simulation for Big Data Applications (cHiPSet)“ project. Long considered important pillars of the scientific method, Modelling and Simulation have evolved from traditional discrete numerical methods to complex data-intensive continuous analytical optimisations. Resolution, scale, and accuracy have become essential to predict and analyse natural and complex systems in science and engineering. When their level of abstraction raises to have a better discernment of the domain at hand, their representation gets increasingly demanding for computational and data resources. On the other hand, High Performance Computing typically entails the effective use of parallel and distributed processing units coupled with efficient storage, communication and visualisation systems to underpin complex data-intensive applications in distinct scientific and technical domains. It is then arguably required to have a seamless interaction of High Performance Computing with Modelling and Simulation in order to store, compute, analyse, and visualise large data sets in science and engineering. Funded by the European Commission, cHiPSet has provided a dynamic trans-European forum for their members and distinguished guests to openly discuss novel perspectives and topics of interests for these two communities. This cHiPSet compendium presents a set of selected case studies related to healthcare, biological data, computational advertising, multimedia, finance, bioinformatics, and telecommunications

High-Performance Modelling and Simulation for Big Data Applications

This open access book was prepared as a Final Publication of the COST Action IC1406 “High-Performance Modelling and Simulation for Big Data Applications (cHiPSet)“ project. Long considered important pillars of the scientific method, Modelling and Simulation have evolved from traditional discrete numerical methods to complex data-intensive continuous analytical optimisations. Resolution, scale, and accuracy have become essential to predict and analyse natural and complex systems in science and engineering. When their level of abstraction raises to have a better discernment of the domain at hand, their representation gets increasingly demanding for computational and data resources. On the other hand, High Performance Computing typically entails the effective use of parallel and distributed processing units coupled with efficient storage, communication and visualisation systems to underpin complex data-intensive applications in distinct scientific and technical domains. It is then arguably required to have a seamless interaction of High Performance Computing with Modelling and Simulation in order to store, compute, analyse, and visualise large data sets in science and engineering. Funded by the European Commission, cHiPSet has provided a dynamic trans-European forum for their members and distinguished guests to openly discuss novel perspectives and topics of interests for these two communities. This cHiPSet compendium presents a set of selected case studies related to healthcare, biological data, computational advertising, multimedia, finance, bioinformatics, and telecommunications

Human Machine Interaction

In this book, the reader will find a set of papers divided into two sections. The first section presents different proposals focused on the human-machine interaction development process. The second section is devoted to different aspects of interaction, with a special emphasis on the physical interaction

Shortest Route at Dynamic Location with Node Combination-Dijkstra Algorithm

Abstract— Online transportation has become a basic requirement of the general public in support of all activities to go to work, school or vacation to the sights. Public transportation services compete to provide the best service so that consumers feel comfortable using the services offered, so that all activities are noticed, one of them is the search for the shortest route in picking the buyer or delivering to the destination. Node Combination method can minimize memory usage and this methode is more optimal when compared to A* and Ant Colony in the shortest route search like Dijkstra algorithm, but can’t store the history node that has been passed. Therefore, using node combination algorithm is very good in searching the shortest distance is not the shortest route. This paper is structured to modify the node combination algorithm to solve the problem of finding the shortest route at the dynamic location obtained from the transport fleet by displaying the nodes that have the shortest distance and will be implemented in the geographic information system in the form of map to facilitate the use of the system. Keywords— Shortest Path, Algorithm Dijkstra, Node Combination, Dynamic Location (key words

Attention Restraint, Working Memory Capacity, and Mind Wandering: Do Emotional Valence or Intentionality Matter?

Attention restraint appears to mediate the relationship between working memory capacity (WMC) and mind wandering (Kane et al., 2016). Prior work has identifed two dimensions of mind wandering—emotional valence and intentionality. However, less is known about how WMC and attention restraint correlate with these dimensions. Te current study examined the relationship between WMC, attention restraint, and mind wandering by emotional valence and intentionality. A confrmatory factor analysis demonstrated that WMC and attention restraint were strongly correlated, but only attention restraint was related to overall mind wandering, consistent with prior fndings. However, when examining the emotional valence of mind wandering, attention restraint and WMC were related to negatively and positively valenced, but not neutral, mind wandering. Attention restraint was also related to intentional but not unintentional mind wandering. Tese results suggest that WMC and attention restraint predict some, but not all, types of mind wandering