Pre-med attrition is the loss of students participating in academic pre-medical programs over time. Attrition in medical school has been the subject of many studies, but pre-med attrition is less researched, despite its relevance to the emergence and performance of future medical professionals. Interviewing former pre-med students who chose other...
The integration of low-pressure membrane filtration and aerobic granular sludge (AGS) reactor leads to a novel environmental biotechnological process with strong potential to overcome membrane fouling and demonstrate excellent wastewater treatment performance. However, membrane fouling mechanisms in the AGS based membrane bioreactor (MBR) are lack of systematic elaboration. In the...
Missing data is one of the major methodological problems in longitudinal studies. It not only reduces the sample size, but also can result in biased estimation and inference. It is crucial to correctly understand the missing mechanism and appropriately incorporate it into the estimation and inference procedures. Traditional methods, such...
Soft magnetic composites, consisting of fine metallic particles in a non-magnetic, insulating matrix, have great potential for integrated inductor and antenna applications. The dielectric and magnetic properties of soft magnetic composites can be tailored by the choice of matrix as well as particle composition, size, and concentration for reduction in...
High-pressure torsion (HPT) is an effective severe plastic deformation (SPD)
technique to produce bulk nanostructured materials (BNMs). These BNMs often show a combination of exceptional mechanical and physical properties. Processing of single metals and alloys by HPT has been understood that the homogenous microstructures can be achieved throughout the disk...
To become a competitor for fossil fuels such as coal, solar installations will need to be produced and installed at a price equal to or below grid parity. This price can be approached by either reducing the overall system cost or increasing system efficiency. The focus of this paper is...
Diverse scientific fields collect multiple time series data to investigate the dynamical behavior of complex systems: atmospheric and climate science, geophysics, neuroscience, epidemiology, ecology, and environmental science. Identifying patterns of mutual dependence among such data generates valuable knowledge that can be applied either for inferential or forecasting purposes. Vector autoregressive...
New capabilities in wireless network security are now possible through deep learning, which can identify and leverage patterns in radio frequency (RF) data. One area of deep learning, known as open set detection, is focused on detecting data instances from new devices encountered during deployment that were not previously seen...
The variability introduced into measurements by a measuring instrument is referred to as measurement instrument precision. Experimental procedures and analysis methods exist when measurements are repeatable and can be repeated on the same item. However, when the measurements are destructive and repeated measurements are not possible, estimating measuring instrument precision...
As the traffic demand increases at a faster rate than the upgrade and maintenance of
transportation facilities through the traditional public financing methods in the United
States, the Public-Private Partnership (PPP) is becoming an important supplement to
the public transportation infrastructure investment. There are already several existing
PPP toll road...