Mars transportation system

The University of Minnesota Advanced Space Design Program has developed a sample Mars exploration scenario. The purpose of the design project is to enhance NASA and university interaction, to provide fresh ideas to NASA, and to provide real world design problems to engineering students. The Mars Transportation System in this paper is designed to transport a crew of six astronauts to the Martian surface and return them to Low Earth Orbit (LEO) starting in the year 2016. The proposed vehicle features such advanced technologies as nuclear propulsion, nuclear power generation, and aerobraking. Three missions are planned. Orbital trajectories are of the conjunction class with an inbound Venus swingby providing a 60-day surface stay at Mars and an average total trip time of 520 days

Comparing XR And Digital Flipped Methods To Meet Learning Objectives

Digital learning has become increasingly important over the last decade as students and educators adopt new types of technology to keep up with emerging trends. The advent of the Covid-19 pandemic accelerated this rate of change in the higher education sector, leading to remote laboratory experiences and video conferencing becoming increasingly normal. In the wake of this transition, the priority is to understand how these technologies can be blended into existing teaching methodologies, in a complementary way, that enhances the student’s pedagogical experience. The upcoming study will compare three digital-based learning simulations to see which has the most beneficial effect on practical student laboratory experiences. Engineering students will be exposed to one of three forms of digital “pre-lab” laboratory simulation and their academic performance assessed following a physical laboratory. The three forms are a 2D photography “iLabs” simulation, a web-based “low fidelity” simulator and a Unity based immersive Virtual Reality (iVR) lab simulator. All three methods are based on the same empirically derived data. As a control, another group of students will not receive a pre-lab simulation, just a standard pre-lab quiz. The study methods will be tested in a small scale preliminary study with a smaller cohort of students ahead of the main work to optimize the experience. This research will build upon existing work carried out in the field of virtual labs, that indicates these experiences can help reinforce student learning outcomes, whilst also unpicking the complex relationship between simulation immersion, fidelity and memory recall in a learning context. In addition, the study will give an opportunity to perform a detailed cost versus pedagogical impact assessment, as each of these simulations has been designed and built from the ground up by the authors

The origins of nomadic pastoralism in the eastern Jordanian steppe: a combined stable isotope and chipped stone assessment

The circumstances in which domestic animals were first introduced to the arid regions of the southern Levant and the origins of nomadic pastoralism have been the subject of considerable debate. Nomadic pastoralism was a novel herd management practice with implications for the economic, social and cultural development of Neolithic communities inhabiting steppe and early village environs. Combining faunal stable isotope and chipped stone analyses from the eastern Jordanian Neolithic steppic sites of Wadi Jilat 13 and 25, and ‘Ain Ghazal in the Mediterranean agricultural zone of the Levantine Corridor, we provide a unique picture of the groups exploiting the arid areas

Application of high-resolution telemetered sensor technology to develop conceptual models of catchment hydrogeological processes

Mitigating agricultural water pollution requires changes in land management practices and the implementation of on-farm measures to tackle the principal reasons for water quality failure. However, a paucity of robust empirical evidence on the hydrological functioning of river catchments can be a major constraint on the design of effective pollution mitigation strategies at the catchment-scale. In this regard, in 2010 the UK government established the Demonstration Test Catchment (DTC) initiative to evaluate the extent to which on-farm mitigation measures can cost-effectively reduce the impacts of agricultural water pollution on river ecology while maintaining food production capacity. A central component of the DTC platform has been the establishment of a comprehensive network of automated, web-based sensor technologies to generate high-temporal resolution empirical datasets of surface water, soil water, groundwater and meteorological parameters. In this paper, we demonstrate how this high-resolution telemetry can be used to improve our understanding of hydrological functioning and the dynamics of pollutant mobilisation and transport under a range of hydrometerological and hydrogeological conditions. Furthermore, we demonstrate how these data can be used to develop conceptual models of catchment hydrogeological processes and consider the implications of variable hydrological functioning on the performance of land management changes aimed at reducing agricultural water pollution

Continuous Multi-Parameter Heart Rate Variability Analysis Heralds Onset of Sepsis in Adults

BACKGROUND: Early diagnosis of sepsis enables timely resuscitation and antibiotics and prevents subsequent morbidity and mortality. Clinical approaches relying on point-in-time analysis of vital signs or lab values are often insensitive, non-specific and late diagnostic markers of sepsis. Exploring otherwise hidden information within intervals-in-time, heart rate variability (HRV) has been documented to be both altered in the presence of sepsis, and correlated with its severity. We hypothesized that by continuously tracking individual patient HRV over time in patients as they develop sepsis, we would demonstrate reduced HRV in association with the onset of sepsis. METHODOLOGY/PRINCIPAL FINDINGS: We monitored heart rate continuously in adult bone marrow transplant (BMT) patients (n = 21) beginning a day before their BMT and continuing until recovery or withdrawal (12+/-4 days). We characterized HRV continuously over time with a panel of time, frequency, complexity, and scale-invariant domain techniques. We defined baseline HRV as mean variability for the first 24 h of monitoring and studied individual and population average percentage change (from baseline) over time in diverse HRV metrics, in comparison with the time of clinical diagnosis and treatment of sepsis (defined as systemic inflammatory response syndrome along with clinically suspected infection requiring treatment). Of the 21 patients enrolled, 4 patients withdrew, leaving 17 patients who completed the study. Fourteen patients developed sepsis requiring antibiotic therapy, whereas 3 did not. On average, for 12 out of 14 infected patients, a significant (25%) reduction prior to the clinical diagnosis and treatment of sepsis was observed in standard deviation, root mean square successive difference, sample and multiscale entropy, fast Fourier transform, detrended fluctuation analysis, and wavelet variability metrics. For infected patients (n = 14), wavelet HRV demonstrated a 25% drop from baseline 35 h prior to sepsis on average. For 3 out of 3 non-infected patients, all measures, except root mean square successive difference and entropy, showed no significant reduction. Significant correlation was present amongst these HRV metrics for the entire population. CONCLUSIONS/SIGNIFICANCE: Continuous HRV monitoring is feasible in ambulatory patients, demonstrates significant HRV alteration in individual patients in association with, and prior to clinical diagnosis and treatment of sepsis, and merits further investigation as a means of providing early warning of sepsis