Water quality monitor (EMPAX instrument)

The impetus of the Viking Mission to Mars led to the first miniaturization of a X-ray Fluorescence Spectrometer (XRFS). Two units were flown on the Viking Mission and successfully operated for two years analyzing the elemental composition of the Martian soil. Under a Bureau of Mines/NASA Technology Utilization project, this XRFS design was utilized to produce a battery powered, portable unit for elemental analysis of geological samples. This paper will detail design improvements and additional sampling capabilities that were incorporated into a second generation portable XRFS that was funded by the EPA/NASA Technology Utilization project. The unit, Environment Monitoring with Portable Analysis by X-ray (EMPAX), was developed specifically for quantitative determination of the need of EPA and and any industry affected by environmental concerns, the EMPAX fulfills a critical need to provide on-site, real-time analysis of toxic metal contamination. A patent was issued on EMPAX, but a commercial manufacturer is still being sought

Influence of rivet to sheet edge distance on fatigue strength of self-piercing riveted aluminium joints

Self-piercing riveting (SPR) is one of the main joining methods for lightweight aluminium automotive body structures due to its advantages. In order to further optimise the structure design and reduce the weight but without compromising strength, reduction of redundant materials in the joint flange area can be considered. For this reason, the influence of rivet to sheet edge distance on the fatigue strengths of self-piercing riveted joints was studied. Five edge distances, 5 mm, 6 mm, 8 mm, 11.5 mm and 14.5 mm, were considered. The results showed that the SPR joints studied in this research had high fatigue resistance and all specimens failed in sheet material along joint buttons or next to rivet heads. For lap shear fatigue tests, specimens failed in the bottom sheet at low load amplitudes and in the top sheet at high load amplitudes except for specimens with very short edge distance of 5 and 6 mm; whereas, for coach-peel fatigue tests, all specimens failed in the top sheet. For both lap shear and coach-peel fatigue tests, specimens with an edge distance of 11.5 mm had the best fatigue resistance. It was found that for coach-peel fatigue, length of crack developing path before specimens lost their strengths was the main factor that determined the fatigue life of different specimens; for lap shear fatigue, the level of stress concentration and subsequent crack initiation time was the main factor that determined the fatigue life

Detecting gamma-band responses to the speech envelope for the ICASSP 2024 Auditory EEG Decoding Signal Processing Grand Challenge

The 2024 ICASSP Auditory EEG Signal Processing Grand Challenge concerns the decoding of electroencephalography (EEG) measurements taken from participants who listened to speech material. This work details our solution to the match-mismatch sub-task: given a short temporal segment of EEG recordings and several candidate speech segments, the task is to classify which of the speech segments was time-aligned with the EEG signals. We show that high-frequency gamma-band responses to the speech envelope can be detected with a high accuracy. By jointly assessing gamma-band responses and low-frequency envelope tracking, we develop a match-mismatch decoder which placed first in this task.Comment: Accepted for ICASSP 2024 (challenge track

Visualizing Constraints and Awareness of Submarine Maneuverability and Detectability

AbstractSubmariners must balance mission imperatives with own ship safety and operational security. A prime measure of safety is avoiding collisions with other contacts, including fishing and other commercial vessels—and especially other submarines and warships. A current problem for submariners is maintaining the submarine's manueverability when factors change, including the density of surrounding contacts, sea state, and weather/visibility, which impose constraints on the submarine's manueverability. These factors can also increase the submarine's detectability if the situation requires longer or more frequent periscope views to maintain situation awareness. Having visualization tools that help submariners manage manueverability and detectability aids decision making by identifying recommended boundaries in the area of operation and recommended patterns of periscope operation. To provide the tools submariners need, we designed and developed several visual aids that identify recommended courses of action for various situations, which promotes greater awareness for future missions. These visual aids were formulated from a combination of Knowledge Elicitation (KE) sessions and cognitive task analysis with development of an abstraction hierarchy and a decision ladder. Our visual aids consist of mapping out a submariner's area of operation by highlighting an optimized path the submariner can take when trying to avoid collisions. By having the ability to visualize these important factors and metrics that are involved in lowering a submarine's detectability while still promoting safety helps increase a submariner's awareness while also providing continuous improvement through risk management and mitigation for risky situations

Effectiveness of Clinical Scenarios in Improving Student Interprofessional Skills and Attitudes

Background: “Interprofessional education (IPE) is defined as the process by which individuals from two or more health professions learn with, from, and about each other across the spectrum of their education to improve collaboration, practice, and the quality of health care.” [1] Interprofessional Education has recently gained interest as an important aspect of training in healthcare professions, attracting the attention and support of several key pharmacy organizations. Various models of IPE have been implemented to facilitate collaboration among medical, nursing, pharmacy, and social work students and professionals. One model found to be particularly effective among pharmacy students is a mock clinical scenario, requiring interprofessional collaboration in order to yield the best care for the patient. Objectives: Therefore, the aim of this project is to utilize mock clinical scenarios to improve interprofessional knowledge, collaboration, student attitudes, and behaviors among Cedarville pharmacy, nursing, and social work students and Wright State medical students. The long term goal is to integrate this clinical scenario model, if proven effective, into the interprofessional curriculums of emerging health science centers. Methodology: The study will conduct mock clinical scenarios among pharmacy, nursing, social work, and medical students. The participants will complete a survey prior to the event regarding interprofessional behaviors and attitudes. The volunteers will then complete the scenario in intraprofessional groups. Following the intraprofessional session another survey will be taken to determine any changes in attitudes and behaviors. The subjects will then complete the scenario again in interprofessional groups. Following the interprofessional session a final survey will be administered to further measure change in attitudes and behaviors. Both sessions will be 20 minutes, and participants will be given 5 minutes to complete each survey. Analysis: Analysis will be conducted with the Kruskall-Wallis test to find change in attitudes among the students among the different majors. Also, the Wilcoxon signed-rank test will determine changes within each group since normal distribution will not be assumed

Robust decoding of the speech envelope from EEG recordings through deep neural networks

Abstract Objective. Smart hearing aids which can decode the focus of a user’s attention could considerably improve comprehension levels in noisy environments. Methods for decoding auditory attention from electroencapholography (EEG) have attracted considerable interest for this reason. Recent studies suggest that the integration of deep neural networks (DNNs) into existing auditory attention decoding (AAD) algorithms is highly beneficial, although it remains unclear whether these enhanced algorithms can perform robustly in different real-world scenarios. Therefore, we sought to characterise the performance of DNNs at reconstructing the envelope of an attended speech stream from EEG recordings in different listening conditions. In addition, given the relatively sparse availability of EEG data, we investigate possibility of applying subject-independent algorithms to EEG recorded from unseen individuals. Approach. Both linear models and nonlinear DNNs were employed to decode the envelope of clean speech from EEG recordings, with and without subject-specific information. The mean behaviour, as well as the variability of the reconstruction, was characterised for each model. We then trained subject-specific linear models and DNNs to reconstruct the envelope of speech in clean and noisy conditions, and investigated how well they performed in different listening scenarios. We also established that these models can be used to decode auditory attention in competing-speaker scenarios. Main results. The DNNs offered a considerable advantage over their linear analogue at reconstructing the envelope of clean speech. This advantage persisted even when subject-specific information was unavailable at the time of training. The same DNN architectures generalised to a distinct dataset, which contained EEG recorded under a variety of listening conditions. In competing-speakers and speech-in-noise conditions, the DNNs significantly outperformed the linear models. Finally, the DNNs offered a considerable improvement over the linear approach at decoding auditory attention in competing-speakers scenarios. Significance. We present the first detailed study into the extent to which DNNs can be employed for reconstructing the envelope of an attended speech stream. We conclusively demonstrate that DNNs improve the reconstruction of the attended speech envelope. The variance of the reconstruction error is shown to be similar for both DNNs and the linear model. DNNs therefore show promise for real-world AAD, since they perform well in multiple listening conditions and generalise to data recorded from unseen participants

Minidoka Memorial Hospital Expansion

The Minidoka Memorial Hospital is the main hospital serving Minidoka County. Due to an increase in farming and traffic accidents, the emergency facilities are no longer adequate and require expansion

Evaluating Interprofessional Fast Forward Rounds for Transition of Care Education

Background: Interprofessional Education is gaining recognition by key pharmacy organizations for its value in healthcare education, producing various models for implementation among healthcare students and professionals. Unfolding cases incorporating transitions of care may improve student skills and attitudes toward interprofessional collaboration. Objectives: This project assessed the efficacy of unfolding cases in improving interprofessional skills and attitudes among pharmacy, nursing, and social work students. The ultimate goal is to integrate this model, if proven effective, into the curricula of multiple health science centers. Methodology: First, pharmacy, nursing, and social work students completed a pre-intervention survey regarding interprofessional skills and attitudes before discussing the first “fast-forward rounds” case in professional silos. After a transitions of care lecture, subjects completed the alternative cases in interprofessional groups in a crossover design. The comparable transitions of care cases included common healthcare topics that were challenging but within the scope of regular practice. “Fast forwards” between transitions of care required students to interpret changes in the case throughout the hospital stay. Following the interprofessional session, group debriefing allowed for feedback on cases, transitions, and differences working with and without other professions. Finally, a post-intervention survey was administered to measure changes in interprofessional attitudes and skills. Analysis: Kruskall-Wallis analysis identified differences among the three majors on the pretest and posttest separately. The Wilcoxon sign rank test assessed changes within each group since normal distribution was not assumed. A Chi-squared test analyzed demographic data. Results: Data analysis of results from the conference revealed a significant improvement in 15 of 25 survey questions in the composite group, while 14, 7, and 4 questions showed significant improvement in the pharmacy, nursing, and social work sub-analyses, respectively. Fewer questions showed significant improvement in the social work group, possibly due to the specific medical details of the cases as well as fewer social work participants relative to pharmacy and nursing. Discussion: Results suggest that this intervention can effectively improve student attitudes toward interprofessional collaboration and understanding of transitions of care. Changes can be made to improve the benefit to social work students and to increase the number of majors participating

Challenges to the industrial melt-processing of conductive plastics

In this work, we investigate the relationship between the timescales available for polymer mobility during processing and post-processing and the electrical resistivity of melt-processed thermoplastics filled with carbon nanoparticles. Post-process annealing below the glass transition temperature was one avenue explored to uplift electrical conductivity. Detailed analysis of available literature on thermoplastics filled with either graphite nanoplatelets or carbon nanotubes, and of relevant processing data suggests that the required timescale for shaping process or post-processing to obtain conductive material needs to be sufficiently longer than that of the base polymer characteristic relaxation time τd. Four factors have been identified that promote the formation of a conductive filler network in thermoplastics: filler loading content, polymer molar mass, processing temperature and processing timescales