We report here on a quartz-enhanced photoacoustic (QEPAS) sensor employing a quantum cascade laser (QCL) structure capable of operating in a pure amplitude or wavelength modulation configuration. The QCL structure is composed of three electrically independent sections: Gain, Phase (PS) and Master Oscillator (MO). Selective current pumping of these three sections allows obtaining laser wavelength tuning without changes in the optical power, and power modulation without emission wavelength shifts. A pure QEPAS amplitude modulation condition is obtained by modulating the PS current, while pure wavelength modulation is achieved by modulating simultaneously the MO and PS QCL sections and slowly scanning the DC current level injected in the PS section.

University ofMinnesotaThe the0 y of structurationfocuses on how actions by members of social collectives create the structures that enable and constrain future action. Most previous research on structuration ingroups andorganizations usedqualitative casestudies becausestructuratwn is quite complex. This study introduces a methodfor the study of structuration in larger samples ofgmups or organizations. A category systemfor the identification ofstructuring moves is described, along with sewral methodsfor characterizing short-and longterm trends in structuratwn processes. The method is used to study how groups incorporate a computerized group decision support system (GDSS) into their decision processes. GDSSs are part ofa class qfnezu computer and communication technologies designed to help groups improve their meetings and make better decisions. Because GDSSs must be used by a group rather than an individual, social processes are critical in deterniining their eflects on group outcomes. GDSSs influencegroups by structuring their activities, and structurational processes are critical mediators of the impacts of GDSSs on group decision making. The study focused on the 4fects ofrestrictiveness of GDSS technology on structuration processes and, in turn, on the relation of structumtion to a key group outcome, conSensus change. The results suggest that two major types of structuring processes occur in computer-supported groups and that the nature of structuration is related to degree of consensus change. he concept of structuration has received increasing attention in organizational and group communication and informa-

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Alakai Defense Systems has developed several standoff ultra-violet (UV) Raman systems over the years to enable detection of hazardous chemicals from a safe distance. These systems have traditionally used classical non-machinelearning-based algorithms, but Alakai together with its partner Systems & Technology Research (STR) are currently developing the Agnostic Machine learning Platform for Spectroscopy (AMPS). AMPS, implemented using PyTorch, automatically creates and optimizes tailored one-dimensional (1D) convolutional neural networks (CNN) when trained on simulated or measured data. Several emerging and novel techniques, including advanced domain adaptation approaches, have been implemented to increase model robustness and minimize training data requirements. While the created models are optimized for a specific modality, AMPS itself is agnostic-it can be used for any spectroscopic modality that produces 1D spectra. AMPS has shown promising results for long-wave infrared (LWIR) reflectance spectroscopy as well as UV and near-infrared (NIR) Raman. This talk will focus on AMPS models created using both simulated UV Raman data as well as measured UV Raman data taken with Alakai's Portable Raman Improvised Explosives Detection (PRIED) system. Performance between AMPS and Alakai's legacy algorithms will be compared.