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In a rail vehicle, fatigue fracture causes a significant number of failures in the coil spring of the suspension system. In this work, the origin of these failures is examined by studying the rail wheel–track interaction, the modal analysis of the coil springs and the stresses induced during operation. The spring is tested experimentally, and a mathematical model is developed to show its force vs. displacement characteristics. A vertical 10-degree-of-freedom (DOF) mathematical model of a full-scale railway vehicle is developed, showing the motions of the car body, bogies and wheelsets, which are then combined with a track. The springs show internal resonances at nearly 50–60 Hz, where significant stresses are induced in them. From the stress result, the weakest position in the innerspring is identified and a few guidelines are proposed for the reduction of vibration and stress in rail vehicles. [ABSTRACT FROM AUTHOR]

Featured Application: Online wheel condition monitoring for condition based and predictive maintenance. Continuous wheel condition monitoring is indispensable for the early detection of wheel defects. In this paper, we provide an approach based on cepstral analysis of axle-box accelerations (ABA). It is applied to the data in the spatial domain, which is why we introduce a new data representation called navewumber domain. In this domain, the wheel circumference and hence the wear of the wheel can be monitored. Furthermore, the amplitudes of peaks in the navewumber domain indicate the severity of possible wheel defects. We demonstrate our approach on simple synthetic data and real data gathered with an on-board multi-sensor system. The speed information obtained from fusing global navigation satellite system (GNSS) and inertial measurement unit (IMU) data is used to transform the data from time to space. The data acquisition was performed with a measurement train under normal operating conditions in the mainline railway network of Austria. We can show that our approach provides robust features that can be used for on-board wheel condition monitoring. Therefore, it enables further advances in the field of condition based and predictive maintenance of railway wheels. [ABSTRACT FROM AUTHOR]

Self‐propelled nanomotors based on virus structure were designed, fabricated and characterized. Capsids from plant virus were covered on one hemisphere with platinum layer to promote motion in the presence of hydrogen peroxide. The Janus viral nanomotors (JVNs) with 25–30 nm diameter from brome mosaic virus (BMV) and cowpea chlorotic mottle virus (CCMV) showed motion speeds of up to 9 μm/sec, depending of the peroxide fuel concentration in the medium. The JVNs can carry and deliver the chemo‐therapeutic drug Tamoxifen, and they are able to internalize into breast tumor cells without any functionalization. The therapeutic payload is released by a pH‐driven delivery action of the nanomotor. Here, the first proof of concept of a self‐propelled virus‐like nanoparticle is demonstrated. The attractive capabilities of nanomotors based on virus‐like nanoparticles (VLPs) pave the way to diverse biomedical applications. The first self‐propelled nanomotors based on a virus structure have been designed. Virus capsids were covered on one hemisphere with a Pt layer to promote motion in the presence of H2O2. The nanomotor can carry and deliver the drug, and they are able to internalize into tumor cells. [ABSTRACT FROM AUTHOR]

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Dengue is an acute febrile illness caused by any of four dengue virus types (DENV-1-4). DENVs are transmitted by mosquitos of the genus Aedes (1) and are endemic throughout the tropics (2). In 2010, an estimated 390 million DENV infections occurred worldwide (2). During 2007-2013, a total of three to 10 dengue cases were reported annually in Arizona and all were travel-associated. During September-December 2014, coincident with a dengue outbreak in Sonora, Mexico, 93 travel-associated dengue cases were reported in Arizona residents; 70 (75%) cases were among residents of Yuma County, which borders San Luis Río Colorado, Sonora, Mexico. San Luis Río Colorado reported its first case of locally acquired dengue in September 2014. To investigate the temporal relationship of the dengue outbreaks in Yuma County and San Luis Río Colorado and compare patient characteristics and signs and symptoms, passive surveillance data from both locations were analyzed. In addition, household-based cluster investigations were conducted near the residences of reported dengue cases in Yuma County to identify unreported cases and assess risk for local transmission. Surveillance data identified 52 locally acquired cases (21% hospitalized) in San Luis Río Colorado and 70 travel-associated cases (66% hospitalized) in Yuma County with illness onset during September-December 2014. Among 194 persons who participated in the cluster investigations in Yuma County, 152 (78%) traveled to Mexico at least monthly during the preceding 3 months. Four (2%) of 161 Yuma County residents who provided serum samples for diagnostic testing during cluster investigations had detectable DENV immunoglobulin M (IgM); one reported a recent febrile illness, and all four had traveled to Mexico during the preceding 3 months. Entomologic assessments among 105 households revealed 24 water containers per 100 houses colonized by Ae. aegypti. Frequent travel to Mexico and Ae. aegypti colonization indicate risk for local transmission of DENV in Yuma County. Public health officials in Sonora and Arizona should continue to collaborate on dengue surveillance and educate the public regarding mosquito abatement and avoidance practices. Clinicians evaluating patients from the U.S.-Mexico border region should consider dengue in patients with acute febrile illness and report suspected cases to public health authorities. [ABSTRACT FROM AUTHOR]