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People can usually sense troubles in a car from noises, vibrations, or smells. An experienced driver can even tell where the problem is. We call this kind of skill ‘Ambient Diagnostics’. Ambient Diagnostics is an emerging field that is aimed at detecting abnormities from seemly disconnected ambient data that we take for granted. For example, the human body is a rich ambient data source: tempera...

Statistical diagnostic and correction of a chemistry-transport model for the prediction of total column ozone S. Guillas, G. C. Tiao, D. J. Wuebbles, and A. Zubrow School of Mathematics, Georgia Institute of Technology, Atlanta, Georgia, USA Graduate School of Business, University of Chicago, Chicago, Illinois, USA Department of Atmospheric Sciences, University of Illinois, Urbana, Illinois, US...

Various methods exist to detect an astrovirus infection. Current methods include electron microscopy (EM), cell culture, immunoassays, polymerase chain reaction (PCR) and various other molecular approaches that can be applied in the context of diagnostic or in surveillance studies. With the advent of metagenomics, novel human astrovirus (HAstV) strains have been found in immunocompromised indiv...

Our understanding of the function of human DNA, known as the human genome, is steadily progressing. Cytogenetic methods have been in clinical use since the 1960s, and molecular tests for almost 2,500 rare monogenic disorders since the 1980s. Recently, genetic testing has also become an important tool in studies of familial cancer predisposition, where the numbers of those benefiting from testin...

The emergence of point-of-care (POC) diagnostics specifically designed for low-resource settings coupled with the rapid increase in need for routine care of patients with chronic diseases should prompt reconsideration of how health care can be delivered most beneficially and cost-effectively in developing countries. Bolstering support for primary care to provide rapid and appropriate integrated...

Industrial diagnostics is an important application area for many AI formalisms. Temporal diagnostics, based on analyzing temporal relations between values of crucial variables, is one possible approach to industrial diagnostics. Often, the information obtained from an industrial object can be uncertain, making the task of diagnostics more complex. In this paper, we propose an approach to tempor...

We discuss three different observational diagnostics related to disks around hot stars: absorption line determinations of rotational velocities of Be stars; polarization diagnostics of circumstellar disks; and X-ray line diagnostics of one specific magnetized hot star, θ Ori C. Some common themes that emerge from these studies include (a) the benefits of having a specific physical model as a fr...

In this paper we describe several diagnostics that we have developed to assist the development of high power gas phase lasers including COIL, EOIL, and DPAL. For COIL we discuss systems that provide sensitive measurements of O2(a), small signal gain, iodine dissociation, and temperature. These are key operational parameters within COIL, and these diagnostics have been used world-wide to gain a ...