Identification Techniques Applied to a Passive Elasto-magnetic Suspension

The paper presents an experimental passive elasto-magnetic suspension based on rare-earth permanent magnets, characterized by negligible dependence on mass of its natural frequency. The nonlinear behaviour of this system, equipped with a traditional linear elastic spring coupled to a magnetic spring, is analysed in time domain, for non-zero initial conditions, and in frequency domain, by applying sweep excitations to the test rig base. The dynamics of the system is very complex in dependence of the magnetic contribution, showing both hardening behaviour in the elasto-magnetic setup, and softening motion amplitude dependent behaviour in the purely magnetic case. Hence it is necessary to adopt nonlinear identification techniques, such as non-parametric restoring force mapping method and direct parametric estimation technique, in order to identify the system parameters in the different configurations. Finally, it is discussed the ability of identified versus analytical models in reproducing the nonlinear dependency of frequency on motion amplitude and the presence of jump phenomen

Introduction to the special issue: Applications of internet of things

© 2018 by the authors. This editorial introduces the special issue, entitled "Applications of Internet of Things", of Symmetry. The topics covered in this issue fall under four main parts: (I) communication techniques and applications, (II) data science techniques and applications, (III) smart transportation, and (IV) smart homes. Four papers on sensing techniques and applications are included as follows: (1) "Reliability of improved cooperative communication over wireless sensor networks", by Chen et al.; (2) "User classification in crowdsourcing-based cooperative spectrum sensing", by Zhai andWang; (3) "IoT's tiny steps towards 5G: Telco's perspective", by Cero et al.; and (4) "An Internet of things area coverage analyzer (ITHACA) for complex topographical scenarios", by Parada et al. One paper on data science techniques and applications is as follows: "Internet of things: a scientometric review", by Ruiz-Rosero et al. Two papers on smart transportation are as follows: (1) "An Internet of things approach for extracting featured data using an AIS database: an application based on the viewpoint of connected ships", by He et al.; and (2) "The development of key technologies in applications of vessels connected to the Internet", by Tian et al. Two papers on smart home are as follows: (1) "A novel approach based on time cluster for activity recognition of daily living in smart homes", by Liu et al.; and (2) "IoT-based image recognition system for smart home-delivered meal services", by Tseng et al

Adaptive service binding with lightweight semantic web services

[About the book]: Service-oriented systems are increasingly challenging traditional software engineering approaches including distribution, componentization, composition, requirements, specification, verification, and evolution. Continuous mutual impact between service-oriented computing and software engineering has been seen in the last decade, and can increasingly be witnessed. The book aims to introduce the state-of-the-art service engineering methods and on-going research efforts from the perspective of research results elaborated in European research projects. Essential problems such as service specification and service composition are addressed by innovative approaches. Emerging requirements of adaptive service and pervasive service are met with new infrastructures. The book provides an integrated vision of the most important research directions in service engineering. This book is intended for scientists to be inspired with new ideas, for researchers new to the exciting field of service engineering and provides a consolidated overview on service engineering, thus supporting practitioners to facilitate their service-oriented architectures

Statistical Analysis of Stone Mastic Asphalt Incorporating Kenaf Fibre

Stone mastic asphalt consists of two components of coarse aggregate and bitumen-filled mortar (bituminous blend, filler, and stabilizing additives like cellulosic or mineral fibers). Such a form of hot mix asphalt (SMA) was first developed in Germany in the mid-1960s to cope with corrosion and ribbed wheel destruction. The mixture was then known as stone mastic asphalt, which was not only immune to ribbed wheels but also has strong resistance against rutting. One of the most significant problems when constructing the stone mastic asphalt pavement is permanent deformation. By a load of traffic and the strain of the tires, much of the irreversible deformation happens in the ground. According to a previous study, researchers have stated that the kenaf fiber's physical strength and thermal characteristics are superior compared to other forms of natural fiber polymer composites, and therefore deemed a desirable applicant for elevated-performance natural fiber composite materials. Thus, the aim of this study is to assess the mechanical performance of stone mastic asphalt incorporating kenaf fiber by developing a regression model. A set of data of SMA mixture incorporating various percentages of kenaf fiber were assessed through statistical analysis in Minitab 19 by using the resilient modulus as the dependant variable in the first model and the accumulated strain from the dynamic creep test as the dependant variable in the second model. The regression models showed a positive impact of kenaf fiber as an additive in the SMA mixture. For more future studies, it is recommended to analyze the effect of the various proportions of kenaf fiber with bitumen modification towards stone mastic asphalt performance that will render the satisfactory performance of SMA during service

Characteristics and comparative clinical outcomes of prisoner versus non-prisoner populations hospitalized with COVID-19

Prisons in the United States have become a hotbed for spreading COVID-19 among incarcerated individuals. COVID-19 cases among prisoners are on the rise, with more than 143,000 confirmed cases to date. However, there is paucity of data addressing clinical outcomes and mortality in prisoners hospitalized with COVID-19. An observational study of all patients hospitalized with COVID-19 between March 10 and May 10, 2020 at two Henry Ford Health System hospitals in Michigan. Clinical outcomes were compared amongst hospitalized prisoners and non-prisoner patients. The primary outcomes were intubation rates, in-hospital mortality, and 30-day mortality. Multivariable logistic regression and Cox-regression models were used to investigate primary outcomes. Of the 706 hospitalized COVID-19 patients (mean age 66.7 ± 16.1 years, 57% males, and 44% black), 108 were prisoners and 598 were non-prisoners. Compared to non-prisoners, prisoners were more likely to present with fever, tachypnea, hypoxemia, and markedly elevated inflammatory markers. Prisoners were more commonly admitted to the intensive care unit (ICU) (26.9% vs. 18.7%), required vasopressors (24.1% vs. 9.9%), and intubated (25.0% vs. 15.2%). Prisoners had higher unadjusted inpatient mortality (29.6% vs. 20.1%) and 30-day mortality (34.3% vs. 24.6%). In the adjusted models, prisoner status was associated with higher in-hospital death (odds ratio, 2.32; 95% confidence interval (CI), 1.33 to 4.05) and 30-day mortality (hazard ratio, 2.00; 95% CI, 1.33 to 3.00). In this cohort of hospitalized COVID-19 patients, prisoner status was associated with more severe clinical presentation, higher rates of ICU admissions, vasopressors requirement, intubation, in-hospital mortality, and 30-day mortality

Online teacher training in a context for forced immobility: the Case of Gaza, Palestine

This article discusses an action research study that involved the design and delivery of an online training course for teachers of Arabic to speakers of other languages in the Gaza Strip (Palestine). Grounded in Freirean pedagogy, the course aimed to respond to the employment needs of university graduates by creating opportunities for online language teaching. The action research study explored the dynamics at play within the online educational environment, to evidence elements that challenged and/or facilitated effective collaboration between trainers and trainees. This article retraces and discusses the processes through which the course moved from didacticism to engaged critical pedagogy

Transmission of MERS-Coronavirus in Household Contacts

BACKGROUND: Strategies to contain the Middle East respiratory syndrome coronavirus (MERS-CoV) depend on knowledge of the rate of human-to-human transmission, including subclinical infections. A lack of serologic tools has hindered targeted studies of transmission. METHODS: We studied 26 index patients with MERS-CoV infection and their 280 household contacts. The median time from the onset of symptoms in index patients to the latest blood sampling in contact patients was 17.5 days (range, 5 to 216; mean, 34.4). Probable cases of secondary transmission were identified on the basis of reactivity in two reverse-transcriptase–polymerase-chain-reaction (RT-PCR) assays with independent RNA extraction from throat swabs or reactivity on enzyme-linked immunosorbent assay against MERS-CoV S1 antigen, supported by reactivity on recombinant S-protein immunofluorescence and demonstration of neutralization of more than 50% of the infectious virus seed dose on plaque-reduction neutralization testing. RESULTS: Among the 280 household contacts of the 26 index patients, there were 12 probable cases of secondary transmission (4%; 95% confidence interval, 2 to 7). Of these cases, 7 were identified by means of RT-PCR, all in samples obtained within 14 days after the onset of symptoms in index patients, and 5 were identified by means of serologic analysis, all in samples obtained 13 days or more after symptom onset in index patients. Probable cases of secondary transmission occurred in 6 of 26 clusters (23%). Serologic results in contacts who were sampled 13 days or more after exposure were similar to overall study results for combined RT-PCR and serologic testing. CONCLUSIONS: The rate of secondary transmission among household contacts of patients with MERS-CoV infection has been approximately 5%. Our data provide insight into the rate of subclinical transmission of MERS-CoV in the home

Expression and function of αβ1 integrins in pancretic beta (INS-1) cells

Integrin-extracellular matrix interactions are important determinants of beta cell behaviours. The β1 integrin is a well-known regulator of beta cell activities; however, little is known of its associated α subunits. In the present study, αβ1 integrin expression was examined in the rat insulinoma cell line (INS-1) to identify their role in beta cell survival and function. Seven α subunits associated with β1 integrin were identified, including α1-6 and αV. Among these heterodimers, α3β1 was most highly expressed. Common ligands for the α3β1 integrin, including fibronectin, laminin, collagen I and collagen IV were tested to identify the most suitable matrix for INS-1 cell proliferation and function. Cells exposed to collagen I and IV demonstrated significant increases in adhesion, spreading, cell viability, proliferation, and FAK phosphorylation when compared to cells cultured on fibronectin, laminin and controls. Integrin-dependent attachment also had a beneficial effect on beta cell function, increasing Pdx-1 and insulin gene and protein expression on collagens I and IV, in parallel with increased basal insulin release and enhanced insulin secretion upon high glucose challenge. Furthermore, functional blockade of α3β1 integrin decreased cell adhesion, spreading and viability on both collagens and reduced Pdx-1 and insulin expression, indicating that its interactions with collagen matrices are important for beta cell survival and function. These results demonstrate that specific αβ1 integrin-ECM interactions are critical regulators of INS-1 beta cell survival and function and will be important in designing optimal conditions for cell-based therapies for diabetes treatment